2024-08-20T21:32:58.4068536Z Current runner version: '2.319.1' 2024-08-20T21:32:58.4075013Z Runner name: 'i-027f5d590cb01bc2c' 2024-08-20T21:32:58.4075730Z Runner group name: 'Default' 2024-08-20T21:32:58.4076552Z Machine name: 'ip-10-0-4-199' 2024-08-20T21:32:58.4093648Z Testing runner upgrade compatibility 2024-08-20T21:32:58.5574037Z ##[group]GITHUB_TOKEN Permissions 2024-08-20T21:32:58.5576371Z Actions: read 2024-08-20T21:32:58.5576877Z Attestations: read 2024-08-20T21:32:58.5577343Z Checks: read 2024-08-20T21:32:58.5577812Z Contents: read 2024-08-20T21:32:58.5578279Z Deployments: read 2024-08-20T21:32:58.5578745Z Discussions: read 2024-08-20T21:32:58.5579179Z Issues: read 2024-08-20T21:32:58.5579613Z Metadata: read 2024-08-20T21:32:58.5580163Z Packages: read 2024-08-20T21:32:58.5580603Z Pages: read 2024-08-20T21:32:58.5581038Z PullRequests: read 2024-08-20T21:32:58.5581597Z RepositoryProjects: read 2024-08-20T21:32:58.5582174Z SecurityEvents: read 2024-08-20T21:32:58.5582658Z Statuses: read 2024-08-20T21:32:58.5583335Z ##[endgroup] 2024-08-20T21:32:58.5586922Z Secret source: Actions 2024-08-20T21:32:58.5587734Z Prepare workflow directory 2024-08-20T21:32:58.9364489Z Prepare all required actions 2024-08-20T21:32:58.9581206Z Getting action download info 2024-08-20T21:32:59.1577355Z Download action repository 'pytorch/test-infra@main' (SHA:0c3a2634aaa2f638c8f640e743f03d696ce1191f) 2024-08-20T21:32:59.5519272Z Download action repository 'pytorch/pytorch@main' (SHA:15b5a0b67fc3f34fb0bf1afa6f91e0c4c2b7fd8d) 2024-08-20T21:33:02.7113046Z Download action repository 'aws-actions/configure-aws-credentials@v3' (SHA:50ac8dd1e1b10d09dac7b8727528b91bed831ac0) 2024-08-20T21:33:02.8801460Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2024-08-20T21:33:03.2219397Z Getting action download info 2024-08-20T21:33:03.3227302Z Download action repository 'malfet/checkout@silent-checkout' (SHA:e07af140b3ccefc05679e3755b9db68f4ee4589c) 2024-08-20T21:33:03.4940898Z Getting action download info 2024-08-20T21:33:03.5987190Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2024-08-20T21:33:03.7372941Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/pull/133712/merge (f2fb9405c2fa9f9502a76363091cce6fd8179736) 2024-08-20T21:33:03.7375577Z ##[group] Inputs 2024-08-20T21:33:03.7376166Z build-environment: linux-focal-py3.12-clang10-experimental-split-build 2024-08-20T21:33:03.7378980Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 3, "num_shards": 3, "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"}]} 2024-08-20T21:33:03.7382304Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:33:03.7383311Z sync-tag: 2024-08-20T21:33:03.7384146Z timeout-minutes: 600 2024-08-20T21:33:03.7384472Z use-gha: 2024-08-20T21:33:03.7384731Z dashboard-tag: 2024-08-20T21:33:03.7385027Z s3-bucket: gha-artifacts 2024-08-20T21:33:03.7385371Z aws-role-to-assume: 2024-08-20T21:33:03.7385677Z ##[endgroup] 2024-08-20T21:33:03.7386647Z Complete job name: linux-focal-py3.12-clang10-experimental-split-build / test (default, 1, 3, amz2023.linux.2xlarge) 2024-08-20T21:33:03.7956936Z A job started hook has been configured by the self-hosted runner administrator 2024-08-20T21:33:03.8106250Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2024-08-20T21:33:03.8116327Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:33:03.8116849Z ##[endgroup] 2024-08-20T21:33:05.3718358Z Runner Type: amz2023.linux.2xlarge 2024-08-20T21:33:05.3719276Z Instance Type: c5.2xlarge 2024-08-20T21:33:05.3719950Z AMI Name: al2023-ami-2023.5.20240701.0-kernel-6.1-x86_64 2024-08-20T21:33:05.3720492Z AMI ID: ami-06c68f701d8090592 2024-08-20T21:33:11.3479983Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2024-08-20T21:33:11.3480607Z with: 2024-08-20T21:33:11.3481322Z github-secret: *** 2024-08-20T21:33:11.3482292Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2024-08-20T21:33:11.3483348Z activate-with-label: false 2024-08-20T21:33:11.3483683Z label: with-ssh 2024-08-20T21:33:11.3483989Z remove-existing-keys: true 2024-08-20T21:33:11.3484335Z fail-silently: true 2024-08-20T21:33:11.3484618Z env: 2024-08-20T21:33:11.3484872Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:33:11.3485199Z ##[endgroup] 2024-08-20T21:33:11.4352822Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2024-08-20T21:33:11.6998693Z Grabbing public ssh keys from https://github.com/pytorchmergebot.keys 2024-08-20T21:33:11.7732094Z No SSH keys found for user pytorchmergebot 2024-08-20T21:33:11.7732839Z Grabbing public ssh keys from https://github.com/XuehaiPan.keys 2024-08-20T21:33:11.8744101Z ~/.ssh/authorized_keys file found on node, removing ~/.ssh and starting fresh 2024-08-20T21:33:11.8757419Z Public keys pulled and installed to /home/ec2-user/.ssh/authorized_keys 2024-08-20T21:33:11.8783167Z Login using: ssh ec2-user@ec2-54-80-207-19.compute-1.amazonaws.com 2024-08-20T21:33:11.8784488Z All testing is done inside the container, to start an interactive session run: 2024-08-20T21:33:11.8785465Z docker exec -it $(docker container ps --format '{{.ID}}') bash 2024-08-20T21:33:11.8937241Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2024-08-20T21:33:11.8937817Z with: 2024-08-20T21:33:11.8938083Z submodules: recursive 2024-08-20T21:33:11.8938418Z fetch-depth: 0 2024-08-20T21:33:11.8938738Z env: 2024-08-20T21:33:11.8938987Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:33:11.8939301Z ##[endgroup] 2024-08-20T21:33:11.9141080Z ##[group]Run retry () { 2024-08-20T21:33:11.9141440Z retry () { 2024-08-20T21:33:11.9141925Z  $* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*) 2024-08-20T21:33:11.9142482Z } 2024-08-20T21:33:11.9142769Z echo "${GITHUB_WORKSPACE}" 2024-08-20T21:33:11.9143160Z if [ -z "${NO_SUDO}" ]; then 2024-08-20T21:33:11.9143621Z  retry sudo rm -rf "${GITHUB_WORKSPACE}" 2024-08-20T21:33:11.9144066Z else 2024-08-20T21:33:11.9144376Z  retry rm -rf "${GITHUB_WORKSPACE}" 2024-08-20T21:33:11.9144785Z fi 2024-08-20T21:33:11.9145114Z mkdir "${GITHUB_WORKSPACE}" 2024-08-20T21:33:11.9154272Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:33:11.9154776Z env: 2024-08-20T21:33:11.9155049Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:33:11.9155374Z NO_SUDO: 2024-08-20T21:33:11.9155620Z ##[endgroup] 2024-08-20T21:33:11.9182872Z /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-08-20T21:33:14.1132279Z ##[group]Run malfet/checkout@silent-checkout 2024-08-20T21:33:14.1132717Z with: 2024-08-20T21:33:14.1133017Z ref: 40ec5f6ddd9787aca0449b24128343ff4c4a88b3 2024-08-20T21:33:14.1133454Z fetch-depth: 0 2024-08-20T21:33:14.1133751Z submodules: recursive 2024-08-20T21:33:14.1134066Z quiet-checkout: true 2024-08-20T21:33:14.1134404Z repository: pytorch/pytorch 2024-08-20T21:33:14.1134903Z token: *** 2024-08-20T21:33:14.1135159Z ssh-strict: true 2024-08-20T21:33:14.1135476Z persist-credentials: true 2024-08-20T21:33:14.1135823Z clean: true 2024-08-20T21:33:14.1136126Z sparse-checkout-cone-mode: true 2024-08-20T21:33:14.1136502Z lfs: false 2024-08-20T21:33:14.1136817Z set-safe-directory: true 2024-08-20T21:33:14.1137123Z env: 2024-08-20T21:33:14.1137379Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:33:14.1137875Z ##[endgroup] 2024-08-20T21:33:14.2083747Z Syncing repository: pytorch/pytorch 2024-08-20T21:33:14.2085403Z ##[group]Getting Git version info 2024-08-20T21:33:14.2086208Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2024-08-20T21:33:14.2087073Z [command]/usr/bin/git version 2024-08-20T21:33:14.2087414Z git version 2.40.1 2024-08-20T21:33:14.2088701Z ##[endgroup] 2024-08-20T21:33:14.2100672Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/77079720-2b49-40be-9a57-51ee51253400' before making global git config changes 2024-08-20T21:33:14.2101968Z Adding repository directory to the temporary git global config as a safe directory 2024-08-20T21:33:14.2103135Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-08-20T21:33:14.2136501Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2024-08-20T21:33:14.2140032Z ##[group]Initializing the repository 2024-08-20T21:33:14.2142778Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-08-20T21:33:14.2173495Z hint: Using 'master' as the name for the initial branch. This default branch name 2024-08-20T21:33:14.2174700Z hint: is subject to change. To configure the initial branch name to use in all 2024-08-20T21:33:14.2175514Z hint: of your new repositories, which will suppress this warning, call: 2024-08-20T21:33:14.2176302Z hint: 2024-08-20T21:33:14.2176892Z hint: git config --global init.defaultBranch 2024-08-20T21:33:14.2177347Z hint: 2024-08-20T21:33:14.2177858Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2024-08-20T21:33:14.2178725Z hint: 'development'. The just-created branch can be renamed via this command: 2024-08-20T21:33:14.2179840Z hint: 2024-08-20T21:33:14.2180299Z hint: git branch -m 2024-08-20T21:33:14.2181064Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2024-08-20T21:33:14.2183164Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2024-08-20T21:33:14.2214465Z ##[endgroup] 2024-08-20T21:33:14.2215007Z ##[group]Disabling automatic garbage collection 2024-08-20T21:33:14.2217337Z [command]/usr/bin/git config --local gc.auto 0 2024-08-20T21:33:14.2248435Z ##[endgroup] 2024-08-20T21:33:14.2248913Z ##[group]Setting up auth 2024-08-20T21:33:14.2254491Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2024-08-20T21:33:14.2283897Z [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' || :" 2024-08-20T21:33:14.2535570Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2024-08-20T21:33:14.2565140Z [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' || :" 2024-08-20T21:33:14.2819058Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2024-08-20T21:33:14.2862578Z ##[endgroup] 2024-08-20T21:33:14.2863120Z ##[group]Fetching the repository 2024-08-20T21:33:14.2868674Z [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/* 2024-08-20T21:33:16.8806110Z remote: Enumerating objects: 1008455 2024-08-20T21:33:16.8806665Z remote: Enumerating objects: 1010096, done. 2024-08-20T21:33:16.8807472Z remote: Counting objects: 0% (1/1641) 2024-08-20T21:33:16.8808004Z remote: Counting objects: 1% (17/1641) 2024-08-20T21:33:16.8809507Z remote: Counting objects: 2% (33/1641) 2024-08-20T21:33:16.8810174Z remote: Counting objects: 3% (50/1641) 2024-08-20T21:33:16.8810673Z remote: Counting objects: 4% (66/1641) 2024-08-20T21:33:16.8811502Z remote: Counting objects: 5% (83/1641) 2024-08-20T21:33:16.8812005Z remote: Counting objects: 6% (99/1641) 2024-08-20T21:33:16.8812910Z remote: Counting objects: 7% (115/1641) 2024-08-20T21:33:16.8813439Z remote: Counting objects: 8% (132/1641) 2024-08-20T21:33:16.8813992Z remote: Counting objects: 9% (148/1641) 2024-08-20T21:33:16.8814609Z remote: Counting objects: 10% (165/1641) 2024-08-20T21:33:16.8815510Z remote: Counting objects: 11% (181/1641) 2024-08-20T21:33:16.8816424Z remote: Counting objects: 12% (197/1641) 2024-08-20T21:33:16.8817252Z remote: Counting objects: 13% (214/1641) 2024-08-20T21:33:16.8817760Z remote: Counting objects: 14% (230/1641) 2024-08-20T21:33:16.8818563Z remote: Counting objects: 15% (247/1641) 2024-08-20T21:33:16.8819453Z remote: Counting objects: 16% (263/1641) 2024-08-20T21:33:16.8820169Z remote: Counting objects: 17% (279/1641) 2024-08-20T21:33:16.8820802Z remote: Counting objects: 18% (296/1641) 2024-08-20T21:33:16.8821281Z remote: Counting objects: 19% (312/1641) 2024-08-20T21:33:16.8822209Z remote: Counting objects: 20% (329/1641) 2024-08-20T21:33:16.8822928Z remote: Counting objects: 21% (345/1641) 2024-08-20T21:33:16.8823401Z remote: Counting objects: 22% (362/1641) 2024-08-20T21:33:16.8823917Z remote: Counting objects: 23% (378/1641) 2024-08-20T21:33:16.8824786Z remote: Counting objects: 24% (394/1641) 2024-08-20T21:33:16.8825339Z remote: Counting objects: 25% (411/1641) 2024-08-20T21:33:16.8826354Z remote: Counting objects: 26% (427/1641) 2024-08-20T21:33:16.8827029Z remote: Counting objects: 27% (444/1641) 2024-08-20T21:33:16.8827946Z remote: Counting objects: 28% (460/1641) 2024-08-20T21:33:16.8828773Z remote: Counting objects: 29% (476/1641) 2024-08-20T21:33:16.8829535Z remote: Counting objects: 30% (493/1641) 2024-08-20T21:33:16.8830389Z remote: Counting objects: 31% (509/1641) 2024-08-20T21:33:16.8831128Z remote: Counting objects: 32% (526/1641) 2024-08-20T21:33:16.8831909Z remote: Counting objects: 33% (542/1641) 2024-08-20T21:33:16.8832927Z remote: Counting objects: 34% (558/1641) 2024-08-20T21:33:16.8833747Z remote: Counting objects: 35% (575/1641) 2024-08-20T21:33:16.8834241Z remote: Counting objects: 36% (591/1641) 2024-08-20T21:33:16.8834730Z remote: Counting objects: 37% (608/1641) 2024-08-20T21:33:16.8835204Z remote: Counting objects: 38% (624/1641) 2024-08-20T21:33:16.8835689Z remote: Counting objects: 39% (640/1641) 2024-08-20T21:33:16.8836172Z remote: Counting objects: 40% (657/1641) 2024-08-20T21:33:16.8836653Z remote: Counting objects: 41% (673/1641) 2024-08-20T21:33:16.8837138Z remote: Counting objects: 42% (690/1641) 2024-08-20T21:33:16.8837624Z remote: Counting objects: 43% (706/1641) 2024-08-20T21:33:16.8838107Z remote: Counting objects: 44% (723/1641) 2024-08-20T21:33:16.8838590Z remote: Counting objects: 45% (739/1641) 2024-08-20T21:33:16.8839079Z remote: Counting objects: 46% (755/1641) 2024-08-20T21:33:16.8839567Z remote: Counting objects: 47% (772/1641) 2024-08-20T21:33:16.8840037Z remote: Counting objects: 48% (788/1641) 2024-08-20T21:33:16.8840521Z remote: Counting objects: 49% (805/1641) 2024-08-20T21:33:16.8841010Z remote: Counting objects: 50% (821/1641) 2024-08-20T21:33:16.8841481Z remote: Counting objects: 51% (837/1641) 2024-08-20T21:33:16.8841967Z remote: Counting objects: 52% (854/1641) 2024-08-20T21:33:16.8842452Z remote: Counting objects: 53% (870/1641) 2024-08-20T21:33:16.8842929Z remote: Counting objects: 54% (887/1641) 2024-08-20T21:33:16.8843415Z remote: Counting objects: 55% (903/1641) 2024-08-20T21:33:16.8843901Z remote: Counting objects: 56% (919/1641) 2024-08-20T21:33:16.8844554Z remote: Counting objects: 57% (936/1641) 2024-08-20T21:33:16.8845044Z remote: Counting objects: 58% (952/1641) 2024-08-20T21:33:16.8845528Z remote: Counting objects: 59% (969/1641) 2024-08-20T21:33:16.8845995Z remote: Counting objects: 60% (985/1641) 2024-08-20T21:33:16.8846496Z remote: Counting objects: 61% (1002/1641) 2024-08-20T21:33:16.8847007Z remote: Counting objects: 62% (1018/1641) 2024-08-20T21:33:16.8847524Z remote: Counting objects: 63% (1034/1641) 2024-08-20T21:33:16.8848020Z remote: Counting objects: 64% (1051/1641) 2024-08-20T21:33:16.8848548Z remote: Counting objects: 65% (1067/1641) 2024-08-20T21:33:16.8849060Z remote: Counting objects: 66% (1084/1641) 2024-08-20T21:33:16.8849566Z remote: Counting objects: 67% (1100/1641) 2024-08-20T21:33:16.8850062Z remote: Counting objects: 68% (1116/1641) 2024-08-20T21:33:16.8850565Z remote: Counting objects: 69% (1133/1641) 2024-08-20T21:33:16.8851075Z remote: Counting objects: 70% (1149/1641) 2024-08-20T21:33:16.8851566Z remote: Counting objects: 71% (1166/1641) 2024-08-20T21:33:16.8852067Z remote: Counting objects: 72% (1182/1641) 2024-08-20T21:33:16.8852569Z remote: Counting objects: 73% (1198/1641) 2024-08-20T21:33:16.8853062Z remote: Counting objects: 74% (1215/1641) 2024-08-20T21:33:16.8853566Z remote: Counting objects: 75% (1231/1641) 2024-08-20T21:33:16.8854069Z remote: Counting objects: 76% (1248/1641) 2024-08-20T21:33:16.8854556Z remote: Counting objects: 77% (1264/1641) 2024-08-20T21:33:16.8855064Z remote: Counting objects: 78% (1280/1641) 2024-08-20T21:33:16.8855647Z remote: Counting objects: 79% (1297/1641) 2024-08-20T21:33:16.8856153Z remote: Counting objects: 80% (1313/1641) 2024-08-20T21:33:16.8856645Z remote: Counting objects: 81% (1330/1641) 2024-08-20T21:33:16.8857152Z remote: Counting objects: 82% (1346/1641) 2024-08-20T21:33:16.8857655Z remote: Counting objects: 83% (1363/1641) 2024-08-20T21:33:16.8858147Z remote: Counting objects: 84% (1379/1641) 2024-08-20T21:33:16.8858651Z remote: Counting objects: 85% (1395/1641) 2024-08-20T21:33:16.8859153Z remote: Counting objects: 86% (1412/1641) 2024-08-20T21:33:16.8859643Z remote: Counting objects: 87% (1428/1641) 2024-08-20T21:33:16.8860239Z remote: Counting objects: 88% (1445/1641) 2024-08-20T21:33:16.8860738Z remote: Counting objects: 89% (1461/1641) 2024-08-20T21:33:16.8861227Z remote: Counting objects: 90% (1477/1641) 2024-08-20T21:33:16.8861729Z remote: Counting objects: 91% (1494/1641) 2024-08-20T21:33:16.8862248Z remote: Counting objects: 92% (1510/1641) 2024-08-20T21:33:16.8862739Z remote: Counting objects: 93% (1527/1641) 2024-08-20T21:33:16.8863245Z remote: Counting objects: 94% (1543/1641) 2024-08-20T21:33:16.8863751Z remote: Counting objects: 95% (1559/1641) 2024-08-20T21:33:16.8864239Z remote: Counting objects: 96% (1576/1641) 2024-08-20T21:33:16.8864747Z remote: Counting objects: 97% (1592/1641) 2024-08-20T21:33:16.8865239Z remote: Counting objects: 98% (1609/1641) 2024-08-20T21:33:16.8865740Z remote: Counting objects: 99% (1625/1641) 2024-08-20T21:33:16.8866231Z remote: Counting objects: 100% (1641/1641) 2024-08-20T21:33:16.8866787Z remote: Counting objects: 100% (1641/1641), done. 2024-08-20T21:33:16.9003649Z remote: Compressing objects: 0% (1/818) 2024-08-20T21:33:16.9251793Z remote: Compressing objects: 1% (9/818) 2024-08-20T21:33:16.9461192Z remote: Compressing objects: 2% (17/818) 2024-08-20T21:33:16.9623996Z remote: Compressing objects: 3% (25/818) 2024-08-20T21:33:17.0304334Z remote: Compressing objects: 4% (33/818) 2024-08-20T21:33:17.1010809Z remote: Compressing objects: 5% (41/818) 2024-08-20T21:33:17.1450806Z remote: Compressing objects: 6% (50/818) 2024-08-20T21:33:17.1878921Z remote: Compressing objects: 7% (58/818) 2024-08-20T21:33:17.2268788Z remote: Compressing objects: 8% (66/818) 2024-08-20T21:33:17.2554715Z remote: Compressing objects: 9% (74/818) 2024-08-20T21:33:17.2847859Z remote: Compressing objects: 10% (82/818) 2024-08-20T21:33:17.3109525Z remote: Compressing objects: 11% (90/818) 2024-08-20T21:33:17.3285698Z remote: Compressing objects: 12% (99/818) 2024-08-20T21:33:17.3428688Z remote: Compressing objects: 13% (107/818) 2024-08-20T21:33:17.3554637Z remote: Compressing objects: 14% (115/818) 2024-08-20T21:33:17.3647978Z remote: Compressing objects: 15% (123/818) 2024-08-20T21:33:17.3739356Z remote: Compressing objects: 16% (131/818) 2024-08-20T21:33:17.3816537Z remote: Compressing objects: 17% (140/818) 2024-08-20T21:33:17.3871659Z remote: Compressing objects: 18% (148/818) 2024-08-20T21:33:17.3914484Z remote: Compressing objects: 19% (156/818) 2024-08-20T21:33:17.3947772Z remote: Compressing objects: 20% (164/818) 2024-08-20T21:33:17.3974727Z remote: Compressing objects: 21% (172/818) 2024-08-20T21:33:17.3985654Z remote: Compressing objects: 22% (180/818) 2024-08-20T21:33:17.3988208Z remote: Compressing objects: 23% (189/818) 2024-08-20T21:33:17.3991905Z remote: Compressing objects: 24% (197/818) 2024-08-20T21:33:17.4000395Z remote: Compressing objects: 25% (205/818) 2024-08-20T21:33:17.4001605Z remote: Compressing objects: 26% (213/818) 2024-08-20T21:33:17.4006299Z remote: Compressing objects: 27% (221/818) 2024-08-20T21:33:17.4015762Z remote: Compressing objects: 28% (230/818) 2024-08-20T21:33:17.4019154Z remote: Compressing objects: 29% (238/818) 2024-08-20T21:33:17.4028889Z remote: Compressing objects: 30% (246/818) 2024-08-20T21:33:17.4042101Z remote: Compressing objects: 31% (254/818) 2024-08-20T21:33:17.4044632Z remote: Compressing objects: 32% (262/818) 2024-08-20T21:33:17.4059833Z remote: Compressing objects: 33% (270/818) 2024-08-20T21:33:17.4064885Z remote: Compressing objects: 34% (279/818) 2024-08-20T21:33:17.4074565Z remote: Compressing objects: 35% (287/818) 2024-08-20T21:33:17.4078953Z remote: Compressing objects: 36% (295/818) 2024-08-20T21:33:17.4085157Z remote: Compressing objects: 37% (303/818) 2024-08-20T21:33:17.4093217Z remote: Compressing objects: 38% (311/818) 2024-08-20T21:33:17.4098934Z remote: Compressing objects: 39% (320/818) 2024-08-20T21:33:17.4106529Z remote: Compressing objects: 40% (328/818) 2024-08-20T21:33:17.4112471Z remote: Compressing objects: 41% (336/818) 2024-08-20T21:33:17.4116735Z remote: Compressing objects: 42% (344/818) 2024-08-20T21:33:17.4123219Z remote: Compressing objects: 43% (352/818) 2024-08-20T21:33:17.4133829Z remote: Compressing objects: 44% (360/818) 2024-08-20T21:33:17.4139154Z remote: Compressing objects: 45% (369/818) 2024-08-20T21:33:17.4144250Z remote: Compressing objects: 46% (377/818) 2024-08-20T21:33:17.4148930Z remote: Compressing objects: 47% (385/818) 2024-08-20T21:33:17.4154322Z remote: Compressing objects: 48% (393/818) 2024-08-20T21:33:17.4157893Z remote: Compressing objects: 49% (401/818) 2024-08-20T21:33:17.4161587Z remote: Compressing objects: 50% (409/818) 2024-08-20T21:33:17.4164847Z remote: Compressing objects: 51% (418/818) 2024-08-20T21:33:17.4167511Z remote: Compressing objects: 52% (426/818) 2024-08-20T21:33:17.4170473Z remote: Compressing objects: 53% (434/818) 2024-08-20T21:33:17.4172452Z remote: Compressing objects: 54% (442/818) 2024-08-20T21:33:17.4174341Z remote: Compressing objects: 55% (450/818) 2024-08-20T21:33:17.4176222Z remote: Compressing objects: 56% (459/818) 2024-08-20T21:33:17.4177498Z remote: Compressing objects: 57% (467/818) 2024-08-20T21:33:17.4179098Z remote: Compressing objects: 58% (475/818) 2024-08-20T21:33:17.4179993Z remote: Compressing objects: 59% (483/818) 2024-08-20T21:33:17.4180832Z remote: Compressing objects: 60% (491/818) 2024-08-20T21:33:17.4181375Z remote: Compressing objects: 61% (499/818) 2024-08-20T21:33:17.4181887Z remote: Compressing objects: 62% (508/818) 2024-08-20T21:33:17.4182420Z remote: Compressing objects: 63% (516/818) 2024-08-20T21:33:17.4182938Z remote: Compressing objects: 64% (524/818) 2024-08-20T21:33:17.4186234Z remote: Compressing objects: 65% (532/818) 2024-08-20T21:33:17.4193652Z remote: Compressing objects: 66% (540/818) 2024-08-20T21:33:17.4197959Z remote: Compressing objects: 67% (549/818) 2024-08-20T21:33:17.4201421Z remote: Compressing objects: 68% (557/818) 2024-08-20T21:33:17.4205608Z remote: Compressing objects: 69% (565/818) 2024-08-20T21:33:17.4209279Z remote: Compressing objects: 70% (573/818) 2024-08-20T21:33:17.4212679Z remote: Compressing objects: 71% (581/818) 2024-08-20T21:33:17.4231384Z remote: Compressing objects: 72% (589/818) 2024-08-20T21:33:17.4234632Z remote: Compressing objects: 73% (598/818) 2024-08-20T21:33:17.4238131Z remote: Compressing objects: 74% (606/818) 2024-08-20T21:33:17.4240965Z remote: Compressing objects: 75% (614/818) 2024-08-20T21:33:17.4243593Z remote: Compressing objects: 76% (622/818) 2024-08-20T21:33:17.4246503Z remote: Compressing objects: 77% (630/818) 2024-08-20T21:33:17.4248774Z remote: Compressing objects: 78% (639/818) 2024-08-20T21:33:17.4250594Z remote: Compressing objects: 79% (647/818) 2024-08-20T21:33:17.4251635Z remote: Compressing objects: 80% (655/818) 2024-08-20T21:33:17.4253991Z remote: Compressing objects: 81% (663/818) 2024-08-20T21:33:17.4255944Z remote: Compressing objects: 82% (671/818) 2024-08-20T21:33:17.4258133Z remote: Compressing objects: 83% (679/818) 2024-08-20T21:33:17.4259715Z remote: Compressing objects: 84% (688/818) 2024-08-20T21:33:17.4260987Z remote: Compressing objects: 85% (696/818) 2024-08-20T21:33:17.4262785Z remote: Compressing objects: 86% (704/818) 2024-08-20T21:33:17.4264314Z remote: Compressing objects: 87% (712/818) 2024-08-20T21:33:17.4265752Z remote: Compressing objects: 88% (720/818) 2024-08-20T21:33:17.4268160Z remote: Compressing objects: 89% (729/818) 2024-08-20T21:33:17.4270245Z remote: Compressing objects: 90% (737/818) 2024-08-20T21:33:17.4271484Z remote: Compressing objects: 91% (745/818) 2024-08-20T21:33:17.4272754Z remote: Compressing objects: 92% (753/818) 2024-08-20T21:33:17.4273446Z remote: Compressing objects: 93% (761/818) 2024-08-20T21:33:17.4274100Z remote: Compressing objects: 94% (769/818) 2024-08-20T21:33:17.4275543Z remote: Compressing objects: 95% (778/818) 2024-08-20T21:33:17.4276974Z remote: Compressing objects: 96% (786/818) 2024-08-20T21:33:17.4277739Z remote: Compressing objects: 97% (794/818) 2024-08-20T21:33:17.4278246Z remote: Compressing objects: 98% (802/818) 2024-08-20T21:33:17.4279237Z remote: Compressing objects: 99% (810/818) 2024-08-20T21:33:17.4280670Z remote: Compressing objects: 100% (818/818) 2024-08-20T21:33:17.4281219Z remote: Compressing objects: 100% (818/818), done. 2024-08-20T21:33:38.3599764Z remote: Total 1010096 (delta 1073), reused 1270 (delta 820), pack-reused 1008455 (from 1) 2024-08-20T21:34:05.3420284Z [command]/usr/bin/git rev-parse --verify --quiet 40ec5f6ddd9787aca0449b24128343ff4c4a88b3^{object} 2024-08-20T21:34:05.3450140Z 40ec5f6ddd9787aca0449b24128343ff4c4a88b3 2024-08-20T21:34:05.3454524Z ##[endgroup] 2024-08-20T21:34:05.3456929Z ##[group]Determining the checkout info 2024-08-20T21:34:05.3457580Z ##[endgroup] 2024-08-20T21:34:05.3458069Z ##[group]Checking out the ref 2024-08-20T21:34:05.3459441Z [command]/usr/bin/git checkout --quiet --force 40ec5f6ddd9787aca0449b24128343ff4c4a88b3 2024-08-20T21:34:06.7275933Z ##[endgroup] 2024-08-20T21:34:06.7276508Z ##[group]Setting up auth for fetching submodules 2024-08-20T21:34:06.7281166Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2024-08-20T21:34:06.7345147Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2024-08-20T21:34:06.7374924Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2024-08-20T21:34:06.7404936Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2024-08-20T21:34:06.7431197Z ##[endgroup] 2024-08-20T21:34:06.7431691Z ##[group]Fetching submodules 2024-08-20T21:34:06.7434835Z [command]/usr/bin/git submodule sync --recursive 2024-08-20T21:34:06.7714507Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2024-08-20T21:34:06.7985714Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2024-08-20T21:34:06.7987250Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2024-08-20T21:34:06.7989336Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2024-08-20T21:34:06.7991723Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2024-08-20T21:34:06.7994898Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2024-08-20T21:34:06.7997109Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2024-08-20T21:34:06.7999364Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2024-08-20T21:34:06.8002102Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2024-08-20T21:34:06.8005038Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2024-08-20T21:34:06.8007827Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2024-08-20T21:34:06.8010641Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2024-08-20T21:34:06.8013686Z Submodule 'third_party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'third_party/eigen' 2024-08-20T21:34:06.8016798Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2024-08-20T21:34:06.8020277Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2024-08-20T21:34:06.8023561Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2024-08-20T21:34:06.8027527Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2024-08-20T21:34:06.8032362Z Submodule 'third_party/gloo' (https://github.com/facebookincubator/gloo) registered for path 'third_party/gloo' 2024-08-20T21:34:06.8036278Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2024-08-20T21:34:06.8039884Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2024-08-20T21:34:06.8043895Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2024-08-20T21:34:06.8047820Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2024-08-20T21:34:06.8051817Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2024-08-20T21:34:06.8055940Z Submodule 'third_party/nccl/nccl' (https://github.com/NVIDIA/nccl) registered for path 'third_party/nccl/nccl' 2024-08-20T21:34:06.8060000Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2024-08-20T21:34:06.8064290Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2024-08-20T21:34:06.8068996Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2024-08-20T21:34:06.8073195Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2024-08-20T21:34:06.8077816Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2024-08-20T21:34:06.8082442Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2024-08-20T21:34:06.8087213Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2024-08-20T21:34:06.8091866Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2024-08-20T21:34:06.8096967Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2024-08-20T21:34:06.8101937Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2024-08-20T21:34:06.8108572Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2024-08-20T21:34:06.8136727Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2024-08-20T21:34:07.1787270Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2024-08-20T21:34:07.3507696Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2024-08-20T21:34:07.5224983Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2024-08-20T21:34:07.8338792Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2024-08-20T21:34:09.9749807Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2024-08-20T21:34:23.7140727Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2024-08-20T21:34:24.1302494Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2024-08-20T21:34:24.5968777Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2024-08-20T21:34:25.2275118Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2024-08-20T21:34:26.4014740Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2024-08-20T21:34:28.4555719Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/eigen'... 2024-08-20T21:34:33.9377545Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2024-08-20T21:34:35.5557976Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2024-08-20T21:34:37.2686464Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2024-08-20T21:34:38.5994317Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2024-08-20T21:34:38.9875572Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2024-08-20T21:34:39.2791907Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2024-08-20T21:34:40.5977088Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2024-08-20T21:34:40.9872565Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2024-08-20T21:34:41.2352676Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2024-08-20T21:34:42.7747883Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2024-08-20T21:34:43.6538060Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nccl/nccl'... 2024-08-20T21:34:44.3343029Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2024-08-20T21:34:50.6152755Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2024-08-20T21:34:52.8006840Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2024-08-20T21:34:58.9795130Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2024-08-20T21:34:59.2107112Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2024-08-20T21:35:09.3331831Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2024-08-20T21:35:09.5181807Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2024-08-20T21:35:09.7655874Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2024-08-20T21:35:10.6639296Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2024-08-20T21:35:10.9511046Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2024-08-20T21:35:11.6451246Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2024-08-20T21:35:12.0374924Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2024-08-20T21:35:12.0486573Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2024-08-20T21:35:12.0570018Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2024-08-20T21:35:12.0797556Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2024-08-20T21:35:12.1162936Z Submodule path 'third_party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191' 2024-08-20T21:35:13.0289525Z Submodule path 'third_party/XNNPACK': checked out 'fcbf55af6cf28a4627bcd1f703ab7ad843f0f3a2' 2024-08-20T21:35:13.0515884Z Submodule path 'third_party/benchmark': checked out '0d98dba29d66e93259db7daa53a9327df767a415' 2024-08-20T21:35:13.0952722Z Submodule path 'third_party/cpp-httplib': checked out '3b6597bba913d51161383657829b7e644e59c006' 2024-08-20T21:35:13.1895584Z Submodule path 'third_party/cpuinfo': checked out '3c8b1533ac03dd6531ab6e7b9245d488f13a82a5' 2024-08-20T21:35:13.2225198Z Submodule path 'third_party/cudnn_frontend': checked out '23511ba176243f27b3b275da1fb3814ea805a171' 2024-08-20T21:35:13.7012466Z Submodule path 'third_party/cutlass': checked out 'bbe579a9e3beb6ea6626d9227ec32d0dae119a49' 2024-08-20T21:35:13.9459654Z Submodule path 'third_party/eigen': checked out '3147391d946bb4b6c68edd901f2add6ac1f31f8c' 2024-08-20T21:35:14.0265998Z Submodule path 'third_party/fbgemm': checked out 'dbc3157bf256f1339b3fa1fef2be89ac4078be0e' 2024-08-20T21:35:14.0283077Z Submodule 'third_party/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/third_party/asmjit' 2024-08-20T21:35:14.0285403Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/third_party/cpuinfo' 2024-08-20T21:35:14.0287878Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/fbgemm/third_party/cutlass' 2024-08-20T21:35:14.0290547Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/third_party/googletest' 2024-08-20T21:35:14.0293199Z Submodule 'third_party/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/third_party/hipify_torch' 2024-08-20T21:35:14.0319517Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/asmjit'... 2024-08-20T21:35:15.1881153Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/cpuinfo'... 2024-08-20T21:35:15.7908111Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/cutlass'... 2024-08-20T21:35:17.8530192Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/googletest'... 2024-08-20T21:35:19.0851142Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/hipify_torch'... 2024-08-20T21:35:19.4643934Z Submodule path 'third_party/fbgemm/third_party/asmjit': checked out 'd3fbf7c9bc7c1d1365a94a45614b91c5a3706b81' 2024-08-20T21:35:19.5588544Z Submodule path 'third_party/fbgemm/third_party/cpuinfo': checked out 'ed8b86a253800bafdb7b25c5c399f91bff9cb1f3' 2024-08-20T21:35:19.9497107Z Submodule path 'third_party/fbgemm/third_party/cutlass': checked out 'fc9ebc645b63f3a6bc80aaefde5c063fb72110d6' 2024-08-20T21:35:20.0115041Z Submodule path 'third_party/fbgemm/third_party/googletest': checked out 'cbf019de22c8dd37b2108da35b2748fd702d1796' 2024-08-20T21:35:20.0239475Z Submodule path 'third_party/fbgemm/third_party/hipify_torch': checked out '23f53b025b466d8ec3c45d52290d3442f7fbe6b1' 2024-08-20T21:35:20.1379733Z Submodule path 'third_party/flatbuffers': checked out '01834de25e4bf3975a9a00e816292b1ad0fe184b' 2024-08-20T21:35:20.1788654Z Submodule path 'third_party/fmt': checked out '0c9fce2ffefecfdce794e1859584e25877b7b592' 2024-08-20T21:35:20.2184474Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2024-08-20T21:35:20.2434123Z Submodule path 'third_party/gloo': checked out '5354032ea08eadd7fc4456477f7f7c6308818509' 2024-08-20T21:35:20.2884744Z Submodule path 'third_party/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2024-08-20T21:35:20.3010948Z Submodule path 'third_party/ideep': checked out '55ca0191687aaf19aca5cdb7881c791e3bea442b' 2024-08-20T21:35:20.3025635Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2024-08-20T21:35:20.3050788Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2024-08-20T21:35:35.6026749Z Submodule path 'third_party/ideep/mkl-dnn': checked out '1137e04ec0b5251ca2b4400a4fd3c667ce843d67' 2024-08-20T21:35:35.6202550Z Submodule path 'third_party/ittapi': checked out '5b8a7d7422611c3a0d799fb5fc5dd4abfae35b42' 2024-08-20T21:35:35.7057946Z Submodule path 'third_party/kineto': checked out 'd9753139d181b9ff42872465aac0e5d3018be415' 2024-08-20T21:35:35.7075437Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2024-08-20T21:35:35.7077616Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2024-08-20T21:35:35.7079713Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2024-08-20T21:35:35.7105461Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2024-08-20T21:35:36.2819037Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2024-08-20T21:35:37.6677097Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2024-08-20T21:35:38.8995811Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2024-08-20T21:35:38.9011453Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2024-08-20T21:35:38.9013575Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2024-08-20T21:35:38.9015820Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-08-20T21:35:38.9018338Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-08-20T21:35:38.9021575Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-08-20T21:35:38.9024266Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-08-20T21:35:38.9027343Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-08-20T21:35:38.9030334Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-08-20T21:35:38.9056442Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2024-08-20T21:35:39.7302271Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2024-08-20T21:35:40.1020405Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2024-08-20T21:35:41.4166336Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2024-08-20T21:35:41.7154214Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2024-08-20T21:35:42.2710268Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2024-08-20T21:35:43.4618917Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2024-08-20T21:35:49.9498021Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2024-08-20T21:35:50.3466127Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2024-08-20T21:35:50.3645248Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2024-08-20T21:35:50.3996615Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2024-08-20T21:35:50.4122349Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2024-08-20T21:35:50.4136345Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-08-20T21:35:50.4159535Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2024-08-20T21:35:50.7209510Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2024-08-20T21:35:50.7382208Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2024-08-20T21:35:50.7766253Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2024-08-20T21:35:50.8745249Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2024-08-20T21:35:50.8904475Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2024-08-20T21:35:50.9297666Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2024-08-20T21:35:50.9868407Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2024-08-20T21:35:51.0232604Z Submodule path 'third_party/mimalloc': checked out 'b66e3214d8a104669c2ec05ae91ebc26a8f5ab78' 2024-08-20T21:35:51.0461365Z Submodule path 'third_party/nccl/nccl': checked out 'ab2b89c4c339bd7f816fbc114a4b05d386b66290' 2024-08-20T21:35:51.1452593Z Submodule path 'third_party/nlohmann': checked out '87cda1d6646592ac5866dc703c8e1839046a6806' 2024-08-20T21:35:51.4832257Z Submodule path 'third_party/onnx': checked out '3bf92c03a9f27eba3bda1e5b9e63ea20ec213557' 2024-08-20T21:35:51.4865870Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/onnx/third_party/benchmark' 2024-08-20T21:35:51.4867657Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2024-08-20T21:35:51.4893366Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/benchmark'... 2024-08-20T21:35:51.9256528Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2024-08-20T21:35:52.9487191Z Submodule path 'third_party/onnx/third_party/benchmark': checked out '2dd015dfef425c866d9a43f2c67d8b52d709acb6' 2024-08-20T21:35:52.9820531Z Submodule path 'third_party/onnx/third_party/pybind11': checked out '5b0a6fc2017fcc176545afe3e09c9f9885283242' 2024-08-20T21:35:53.0480246Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2024-08-20T21:35:53.0499244Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2024-08-20T21:35:53.0501228Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2024-08-20T21:35:53.0503413Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2024-08-20T21:35:53.0505871Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2024-08-20T21:35:53.0508748Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2024-08-20T21:35:53.0511192Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2024-08-20T21:35:53.0513859Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2024-08-20T21:35:53.0516491Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-08-20T21:35:53.0544507Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2024-08-20T21:35:53.5236456Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2024-08-20T21:35:54.6889517Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2024-08-20T21:35:55.0089479Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2024-08-20T21:36:01.2904241Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2024-08-20T21:36:01.5933651Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2024-08-20T21:36:01.8391531Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2024-08-20T21:36:02.1354857Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2024-08-20T21:36:08.8831139Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2024-08-20T21:36:08.9224119Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2024-08-20T21:36:08.9374570Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2024-08-20T21:36:09.0314869Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2024-08-20T21:36:09.0438648Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2024-08-20T21:36:09.0576909Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2024-08-20T21:36:09.0722079Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2024-08-20T21:36:09.0736343Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2024-08-20T21:36:09.0738861Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2024-08-20T21:36:09.0762723Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2024-08-20T21:36:11.2902073Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2024-08-20T21:36:12.7360474Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2024-08-20T21:36:12.7809629Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2024-08-20T21:36:13.2298184Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2024-08-20T21:36:13.2410733Z Submodule path 'third_party/pocketfft': checked out '9d3ab05a7fffbc71a492bc6a17be034e83e8f0fe' 2024-08-20T21:36:13.4966350Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2024-08-20T21:36:13.4988102Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2024-08-20T21:36:13.4990698Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2024-08-20T21:36:13.5016047Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2024-08-20T21:36:13.9540826Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2024-08-20T21:36:15.1069745Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2024-08-20T21:36:15.1756254Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2024-08-20T21:36:15.1840896Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2024-08-20T21:36:15.1957115Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2024-08-20T21:36:15.2303844Z Submodule path 'third_party/pybind11': checked out '941f45bcb51457884fa1afd6e24a67377d70f75c' 2024-08-20T21:36:15.2580834Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2024-08-20T21:36:15.2977783Z Submodule path 'third_party/sleef': checked out '60e76d2bce17d278b439d9da17177c8f957a9e9b' 2024-08-20T21:36:15.3237152Z Submodule path 'third_party/tensorpipe': checked out '52791a2fd214b2a9dc5759d36725909c1daa7f2e' 2024-08-20T21:36:15.3253637Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2024-08-20T21:36:15.3255452Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' 2024-08-20T21:36:15.3258092Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' 2024-08-20T21:36:15.3260143Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' 2024-08-20T21:36:15.3285285Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 2024-08-20T21:36:16.4866168Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'... 2024-08-20T21:36:16.7222408Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2024-08-20T21:36:17.9128212Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2024-08-20T21:36:18.8857963Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2024-08-20T21:36:18.9009300Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2024-08-20T21:36:18.9682915Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' 2024-08-20T21:36:18.9964598Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2024-08-20T21:36:18.9980693Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-08-20T21:36:19.0007962Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11/tools/clang'... 2024-08-20T21:36:19.2063042Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 2024-08-20T21:36:19.2101578Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2024-08-20T21:36:19.2385420Z Entering 'android/libs/fbjni' 2024-08-20T21:36:19.2425545Z Entering 'third_party/FP16' 2024-08-20T21:36:19.2465206Z Entering 'third_party/FXdiv' 2024-08-20T21:36:19.2505507Z Entering 'third_party/NNPACK' 2024-08-20T21:36:19.2545259Z Entering 'third_party/VulkanMemoryAllocator' 2024-08-20T21:36:19.2583775Z Entering 'third_party/XNNPACK' 2024-08-20T21:36:19.2640180Z Entering 'third_party/benchmark' 2024-08-20T21:36:19.2678922Z Entering 'third_party/cpp-httplib' 2024-08-20T21:36:19.2718490Z Entering 'third_party/cpuinfo' 2024-08-20T21:36:19.2758656Z Entering 'third_party/cudnn_frontend' 2024-08-20T21:36:19.2798137Z Entering 'third_party/cutlass' 2024-08-20T21:36:19.2844964Z Entering 'third_party/eigen' 2024-08-20T21:36:19.2886695Z Entering 'third_party/fbgemm' 2024-08-20T21:36:19.2927847Z Entering 'third_party/fbgemm/third_party/asmjit' 2024-08-20T21:36:19.2965271Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2024-08-20T21:36:19.3003486Z Entering 'third_party/fbgemm/third_party/cutlass' 2024-08-20T21:36:19.3049119Z Entering 'third_party/fbgemm/third_party/googletest' 2024-08-20T21:36:19.3088540Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2024-08-20T21:36:19.3129518Z Entering 'third_party/flatbuffers' 2024-08-20T21:36:19.3172228Z Entering 'third_party/fmt' 2024-08-20T21:36:19.3211073Z Entering 'third_party/gemmlowp/gemmlowp' 2024-08-20T21:36:19.3251465Z Entering 'third_party/gloo' 2024-08-20T21:36:19.3290198Z Entering 'third_party/googletest' 2024-08-20T21:36:19.3330653Z Entering 'third_party/ideep' 2024-08-20T21:36:19.3369033Z Entering 'third_party/ideep/mkl-dnn' 2024-08-20T21:36:19.3413660Z Entering 'third_party/ittapi' 2024-08-20T21:36:19.3454927Z Entering 'third_party/kineto' 2024-08-20T21:36:19.3494836Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2024-08-20T21:36:19.3534380Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2024-08-20T21:36:19.3573980Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2024-08-20T21:36:19.3612114Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-08-20T21:36:19.3652266Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-08-20T21:36:19.3689522Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-08-20T21:36:19.3729904Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-08-20T21:36:19.3769318Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-08-20T21:36:19.3808323Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-08-20T21:36:19.3849608Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-08-20T21:36:19.3891061Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2024-08-20T21:36:19.3930307Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2024-08-20T21:36:19.3970274Z Entering 'third_party/mimalloc' 2024-08-20T21:36:19.4009664Z Entering 'third_party/nccl/nccl' 2024-08-20T21:36:19.4049751Z Entering 'third_party/nlohmann' 2024-08-20T21:36:19.4091386Z Entering 'third_party/onnx' 2024-08-20T21:36:19.4146484Z Entering 'third_party/onnx/third_party/benchmark' 2024-08-20T21:36:19.4186030Z Entering 'third_party/onnx/third_party/pybind11' 2024-08-20T21:36:19.4227732Z Entering 'third_party/opentelemetry-cpp' 2024-08-20T21:36:19.4268513Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2024-08-20T21:36:19.4306188Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2024-08-20T21:36:19.4343794Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2024-08-20T21:36:19.4380792Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2024-08-20T21:36:19.4418422Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2024-08-20T21:36:19.4455312Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2024-08-20T21:36:19.4493480Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2024-08-20T21:36:19.4530408Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2024-08-20T21:36:19.4570258Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2024-08-20T21:36:19.4609226Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-08-20T21:36:19.4667649Z Entering 'third_party/pocketfft' 2024-08-20T21:36:19.4706871Z Entering 'third_party/protobuf' 2024-08-20T21:36:19.4749523Z Entering 'third_party/protobuf/third_party/benchmark' 2024-08-20T21:36:19.4786977Z Entering 'third_party/protobuf/third_party/googletest' 2024-08-20T21:36:19.4828025Z Entering 'third_party/psimd' 2024-08-20T21:36:19.4867303Z Entering 'third_party/pthreadpool' 2024-08-20T21:36:19.4905985Z Entering 'third_party/pybind11' 2024-08-20T21:36:19.4945693Z Entering 'third_party/python-peachpy' 2024-08-20T21:36:19.4984165Z Entering 'third_party/sleef' 2024-08-20T21:36:19.5024119Z Entering 'third_party/tensorpipe' 2024-08-20T21:36:19.5063103Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-08-20T21:36:19.5101327Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-08-20T21:36:19.5139855Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-08-20T21:36:19.5177990Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-08-20T21:36:19.5214737Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-08-20T21:36:19.5268023Z ##[endgroup] 2024-08-20T21:36:19.5269937Z ##[group]Persisting credentials for submodules 2024-08-20T21:36:19.5273721Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :" 2024-08-20T21:36:19.5565068Z Entering 'android/libs/fbjni' 2024-08-20T21:36:19.5617292Z Entering 'third_party/FP16' 2024-08-20T21:36:19.5668762Z Entering 'third_party/FXdiv' 2024-08-20T21:36:19.5718117Z Entering 'third_party/NNPACK' 2024-08-20T21:36:19.5768610Z Entering 'third_party/VulkanMemoryAllocator' 2024-08-20T21:36:19.5817599Z Entering 'third_party/XNNPACK' 2024-08-20T21:36:19.5884331Z Entering 'third_party/benchmark' 2024-08-20T21:36:19.5934159Z Entering 'third_party/cpp-httplib' 2024-08-20T21:36:19.5984554Z Entering 'third_party/cpuinfo' 2024-08-20T21:36:19.6036046Z Entering 'third_party/cudnn_frontend' 2024-08-20T21:36:19.6086173Z Entering 'third_party/cutlass' 2024-08-20T21:36:19.6144991Z Entering 'third_party/eigen' 2024-08-20T21:36:19.6197011Z Entering 'third_party/fbgemm' 2024-08-20T21:36:19.6247166Z Entering 'third_party/fbgemm/third_party/asmjit' 2024-08-20T21:36:19.6296424Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2024-08-20T21:36:19.6346321Z Entering 'third_party/fbgemm/third_party/cutlass' 2024-08-20T21:36:19.6401761Z Entering 'third_party/fbgemm/third_party/googletest' 2024-08-20T21:36:19.6450949Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2024-08-20T21:36:19.6500473Z Entering 'third_party/flatbuffers' 2024-08-20T21:36:19.6553745Z Entering 'third_party/fmt' 2024-08-20T21:36:19.6602939Z Entering 'third_party/gemmlowp/gemmlowp' 2024-08-20T21:36:19.6653544Z Entering 'third_party/gloo' 2024-08-20T21:36:19.6703198Z Entering 'third_party/googletest' 2024-08-20T21:36:19.6753099Z Entering 'third_party/ideep' 2024-08-20T21:36:19.6801610Z Entering 'third_party/ideep/mkl-dnn' 2024-08-20T21:36:19.6858159Z Entering 'third_party/ittapi' 2024-08-20T21:36:19.6908582Z Entering 'third_party/kineto' 2024-08-20T21:36:19.6958351Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2024-08-20T21:36:19.7007510Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2024-08-20T21:36:19.7062196Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2024-08-20T21:36:19.7112523Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-08-20T21:36:19.7162468Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-08-20T21:36:19.7209408Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-08-20T21:36:19.7261533Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-08-20T21:36:19.7311062Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-08-20T21:36:19.7362149Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-08-20T21:36:19.7412517Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-08-20T21:36:19.7463394Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2024-08-20T21:36:19.7512838Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2024-08-20T21:36:19.7563825Z Entering 'third_party/mimalloc' 2024-08-20T21:36:19.7615169Z Entering 'third_party/nccl/nccl' 2024-08-20T21:36:19.7665607Z Entering 'third_party/nlohmann' 2024-08-20T21:36:19.7716855Z Entering 'third_party/onnx' 2024-08-20T21:36:19.7781953Z Entering 'third_party/onnx/third_party/benchmark' 2024-08-20T21:36:19.7832658Z Entering 'third_party/onnx/third_party/pybind11' 2024-08-20T21:36:19.7884408Z Entering 'third_party/opentelemetry-cpp' 2024-08-20T21:36:19.7935366Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2024-08-20T21:36:19.7984247Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2024-08-20T21:36:19.8033704Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2024-08-20T21:36:19.8082157Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2024-08-20T21:36:19.8132153Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2024-08-20T21:36:19.8180266Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2024-08-20T21:36:19.8228685Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2024-08-20T21:36:19.8275581Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2024-08-20T21:36:19.8325945Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2024-08-20T21:36:19.8376767Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-08-20T21:36:19.8448552Z Entering 'third_party/pocketfft' 2024-08-20T21:36:19.8497220Z Entering 'third_party/protobuf' 2024-08-20T21:36:19.8549781Z Entering 'third_party/protobuf/third_party/benchmark' 2024-08-20T21:36:19.8598288Z Entering 'third_party/protobuf/third_party/googletest' 2024-08-20T21:36:19.8649192Z Entering 'third_party/psimd' 2024-08-20T21:36:19.8699292Z Entering 'third_party/pthreadpool' 2024-08-20T21:36:19.8750040Z Entering 'third_party/pybind11' 2024-08-20T21:36:19.8799998Z Entering 'third_party/python-peachpy' 2024-08-20T21:36:19.8851491Z Entering 'third_party/sleef' 2024-08-20T21:36:19.8901717Z Entering 'third_party/tensorpipe' 2024-08-20T21:36:19.8952116Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-08-20T21:36:19.9001416Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-08-20T21:36:19.9050360Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-08-20T21:36:19.9099392Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-08-20T21:36:19.9148589Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-08-20T21:36:19.9214980Z [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" 2024-08-20T21:36:19.9491498Z Entering 'android/libs/fbjni' 2024-08-20T21:36:19.9538796Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2024-08-20T21:36:19.9553916Z Entering 'third_party/FP16' 2024-08-20T21:36:19.9601001Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2024-08-20T21:36:19.9615479Z Entering 'third_party/FXdiv' 2024-08-20T21:36:19.9662220Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2024-08-20T21:36:19.9676907Z Entering 'third_party/NNPACK' 2024-08-20T21:36:19.9722586Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2024-08-20T21:36:19.9738164Z Entering 'third_party/VulkanMemoryAllocator' 2024-08-20T21:36:19.9784002Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2024-08-20T21:36:19.9798753Z Entering 'third_party/XNNPACK' 2024-08-20T21:36:19.9845299Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2024-08-20T21:36:19.9876402Z Entering 'third_party/benchmark' 2024-08-20T21:36:19.9924210Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2024-08-20T21:36:19.9938169Z Entering 'third_party/cpp-httplib' 2024-08-20T21:36:19.9984689Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2024-08-20T21:36:19.9999742Z Entering 'third_party/cpuinfo' 2024-08-20T21:36:20.0046655Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2024-08-20T21:36:20.0062205Z Entering 'third_party/cudnn_frontend' 2024-08-20T21:36:20.0107575Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2024-08-20T21:36:20.0122963Z Entering 'third_party/cutlass' 2024-08-20T21:36:20.0171181Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2024-08-20T21:36:20.0193825Z Entering 'third_party/eigen' 2024-08-20T21:36:20.0240893Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/eigen/config remote.origin.url 2024-08-20T21:36:20.0257051Z Entering 'third_party/fbgemm' 2024-08-20T21:36:20.0305216Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2024-08-20T21:36:20.0318980Z Entering 'third_party/fbgemm/third_party/asmjit' 2024-08-20T21:36:20.0366580Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/asmjit/config remote.origin.url 2024-08-20T21:36:20.0381182Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2024-08-20T21:36:20.0430665Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/cpuinfo/config remote.origin.url 2024-08-20T21:36:20.0445443Z Entering 'third_party/fbgemm/third_party/cutlass' 2024-08-20T21:36:20.0490966Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/cutlass/config remote.origin.url 2024-08-20T21:36:20.0512463Z Entering 'third_party/fbgemm/third_party/googletest' 2024-08-20T21:36:20.0559068Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/googletest/config remote.origin.url 2024-08-20T21:36:20.0573545Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2024-08-20T21:36:20.0618981Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/hipify_torch/config remote.origin.url 2024-08-20T21:36:20.0635879Z Entering 'third_party/flatbuffers' 2024-08-20T21:36:20.0683055Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2024-08-20T21:36:20.0701053Z Entering 'third_party/fmt' 2024-08-20T21:36:20.0748405Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2024-08-20T21:36:20.0763598Z Entering 'third_party/gemmlowp/gemmlowp' 2024-08-20T21:36:20.0811474Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2024-08-20T21:36:20.0826661Z Entering 'third_party/gloo' 2024-08-20T21:36:20.0873366Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2024-08-20T21:36:20.0888924Z Entering 'third_party/googletest' 2024-08-20T21:36:20.0936789Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2024-08-20T21:36:20.0952336Z Entering 'third_party/ideep' 2024-08-20T21:36:20.0998909Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2024-08-20T21:36:20.1012768Z Entering 'third_party/ideep/mkl-dnn' 2024-08-20T21:36:20.1059724Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2024-08-20T21:36:20.1082170Z Entering 'third_party/ittapi' 2024-08-20T21:36:20.1129050Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2024-08-20T21:36:20.1144695Z Entering 'third_party/kineto' 2024-08-20T21:36:20.1191883Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2024-08-20T21:36:20.1206643Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2024-08-20T21:36:20.1255046Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2024-08-20T21:36:20.1269265Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2024-08-20T21:36:20.1316945Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2024-08-20T21:36:20.1333578Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2024-08-20T21:36:20.1380561Z 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 2024-08-20T21:36:20.1394908Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-08-20T21:36:20.1441837Z 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 2024-08-20T21:36:20.1456751Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-08-20T21:36:20.1503881Z 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 2024-08-20T21:36:20.1517952Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-08-20T21:36:20.1567116Z 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 2024-08-20T21:36:20.1582989Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-08-20T21:36:20.1631381Z 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 2024-08-20T21:36:20.1645673Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-08-20T21:36:20.1693208Z 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 2024-08-20T21:36:20.1707680Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-08-20T21:36:20.1755395Z 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 2024-08-20T21:36:20.1770507Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-08-20T21:36:20.1817637Z 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 2024-08-20T21:36:20.1834083Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2024-08-20T21:36:20.1881416Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2024-08-20T21:36:20.1895581Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2024-08-20T21:36:20.1942571Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2024-08-20T21:36:20.1959248Z Entering 'third_party/mimalloc' 2024-08-20T21:36:20.2007502Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2024-08-20T21:36:20.2023489Z Entering 'third_party/nccl/nccl' 2024-08-20T21:36:20.2070197Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nccl/nccl/config remote.origin.url 2024-08-20T21:36:20.2086251Z Entering 'third_party/nlohmann' 2024-08-20T21:36:20.2133423Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2024-08-20T21:36:20.2149785Z Entering 'third_party/onnx' 2024-08-20T21:36:20.2196929Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2024-08-20T21:36:20.2228341Z Entering 'third_party/onnx/third_party/benchmark' 2024-08-20T21:36:20.2276496Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/benchmark/config remote.origin.url 2024-08-20T21:36:20.2292261Z Entering 'third_party/onnx/third_party/pybind11' 2024-08-20T21:36:20.2338840Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2024-08-20T21:36:20.2356573Z Entering 'third_party/opentelemetry-cpp' 2024-08-20T21:36:20.2406667Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2024-08-20T21:36:20.2423623Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2024-08-20T21:36:20.2472139Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2024-08-20T21:36:20.2486417Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2024-08-20T21:36:20.2533483Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2024-08-20T21:36:20.2548238Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2024-08-20T21:36:20.2594413Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2024-08-20T21:36:20.2608588Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2024-08-20T21:36:20.2655472Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2024-08-20T21:36:20.2671320Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2024-08-20T21:36:20.2717522Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2024-08-20T21:36:20.2733901Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2024-08-20T21:36:20.2781442Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2024-08-20T21:36:20.2796062Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2024-08-20T21:36:20.2843959Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2024-08-20T21:36:20.2857099Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2024-08-20T21:36:20.2904231Z 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 2024-08-20T21:36:20.2921227Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2024-08-20T21:36:20.2968640Z 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 2024-08-20T21:36:20.2985442Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-08-20T21:36:20.3033380Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2024-08-20T21:36:20.3069204Z Entering 'third_party/pocketfft' 2024-08-20T21:36:20.3117921Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2024-08-20T21:36:20.3133955Z Entering 'third_party/protobuf' 2024-08-20T21:36:20.3182039Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2024-08-20T21:36:20.3200577Z Entering 'third_party/protobuf/third_party/benchmark' 2024-08-20T21:36:20.3249482Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2024-08-20T21:36:20.3263794Z Entering 'third_party/protobuf/third_party/googletest' 2024-08-20T21:36:20.3309337Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2024-08-20T21:36:20.3327613Z Entering 'third_party/psimd' 2024-08-20T21:36:20.3375332Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2024-08-20T21:36:20.3389612Z Entering 'third_party/pthreadpool' 2024-08-20T21:36:20.3439405Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2024-08-20T21:36:20.3454360Z Entering 'third_party/pybind11' 2024-08-20T21:36:20.3500955Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2024-08-20T21:36:20.3516188Z Entering 'third_party/python-peachpy' 2024-08-20T21:36:20.3563003Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2024-08-20T21:36:20.3577977Z Entering 'third_party/sleef' 2024-08-20T21:36:20.3624924Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2024-08-20T21:36:20.3640105Z Entering 'third_party/tensorpipe' 2024-08-20T21:36:20.3687358Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2024-08-20T21:36:20.3702009Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-08-20T21:36:20.3749746Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2024-08-20T21:36:20.3764278Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-08-20T21:36:20.3810284Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2024-08-20T21:36:20.3824654Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-08-20T21:36:20.3873016Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2024-08-20T21:36:20.3887333Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-08-20T21:36:20.3936896Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2024-08-20T21:36:20.3950206Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-08-20T21:36:20.3999303Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2024-08-20T21:36:20.4765510Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2024-08-20T21:36:20.5048645Z Entering 'android/libs/fbjni' 2024-08-20T21:36:20.5088274Z Entering 'third_party/FP16' 2024-08-20T21:36:20.5127812Z Entering 'third_party/FXdiv' 2024-08-20T21:36:20.5166098Z Entering 'third_party/NNPACK' 2024-08-20T21:36:20.5204877Z Entering 'third_party/VulkanMemoryAllocator' 2024-08-20T21:36:20.5243879Z Entering 'third_party/XNNPACK' 2024-08-20T21:36:20.5298795Z Entering 'third_party/benchmark' 2024-08-20T21:36:20.5338699Z Entering 'third_party/cpp-httplib' 2024-08-20T21:36:20.5376642Z Entering 'third_party/cpuinfo' 2024-08-20T21:36:20.5417561Z Entering 'third_party/cudnn_frontend' 2024-08-20T21:36:20.5457544Z Entering 'third_party/cutlass' 2024-08-20T21:36:20.5504841Z Entering 'third_party/eigen' 2024-08-20T21:36:20.5547368Z Entering 'third_party/fbgemm' 2024-08-20T21:36:20.5587717Z Entering 'third_party/fbgemm/third_party/asmjit' 2024-08-20T21:36:20.5625598Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2024-08-20T21:36:20.5662686Z Entering 'third_party/fbgemm/third_party/cutlass' 2024-08-20T21:36:20.5705826Z Entering 'third_party/fbgemm/third_party/googletest' 2024-08-20T21:36:20.5744588Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2024-08-20T21:36:20.5783072Z Entering 'third_party/flatbuffers' 2024-08-20T21:36:20.5825182Z Entering 'third_party/fmt' 2024-08-20T21:36:20.5863459Z Entering 'third_party/gemmlowp/gemmlowp' 2024-08-20T21:36:20.5901357Z Entering 'third_party/gloo' 2024-08-20T21:36:20.5940877Z Entering 'third_party/googletest' 2024-08-20T21:36:20.5978864Z Entering 'third_party/ideep' 2024-08-20T21:36:20.6016707Z Entering 'third_party/ideep/mkl-dnn' 2024-08-20T21:36:20.6062872Z Entering 'third_party/ittapi' 2024-08-20T21:36:20.6101774Z Entering 'third_party/kineto' 2024-08-20T21:36:20.6140053Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2024-08-20T21:36:20.6178548Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2024-08-20T21:36:20.6217971Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2024-08-20T21:36:20.6256130Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-08-20T21:36:20.6294061Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-08-20T21:36:20.6333106Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-08-20T21:36:20.6372949Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-08-20T21:36:20.6410752Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-08-20T21:36:20.6449199Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-08-20T21:36:20.6488546Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-08-20T21:36:20.6529325Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2024-08-20T21:36:20.6566535Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2024-08-20T21:36:20.6605393Z Entering 'third_party/mimalloc' 2024-08-20T21:36:20.6645218Z Entering 'third_party/nccl/nccl' 2024-08-20T21:36:20.6685002Z Entering 'third_party/nlohmann' 2024-08-20T21:36:20.6724276Z Entering 'third_party/onnx' 2024-08-20T21:36:20.6777793Z Entering 'third_party/onnx/third_party/benchmark' 2024-08-20T21:36:20.6815919Z Entering 'third_party/onnx/third_party/pybind11' 2024-08-20T21:36:20.6856265Z Entering 'third_party/opentelemetry-cpp' 2024-08-20T21:36:20.6898546Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2024-08-20T21:36:20.6936935Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2024-08-20T21:36:20.6974518Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2024-08-20T21:36:20.7012414Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2024-08-20T21:36:20.7050926Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2024-08-20T21:36:20.7087979Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2024-08-20T21:36:20.7125114Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2024-08-20T21:36:20.7162334Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2024-08-20T21:36:20.7202411Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2024-08-20T21:36:20.7241560Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-08-20T21:36:20.7298545Z Entering 'third_party/pocketfft' 2024-08-20T21:36:20.7337997Z Entering 'third_party/protobuf' 2024-08-20T21:36:20.7380277Z Entering 'third_party/protobuf/third_party/benchmark' 2024-08-20T21:36:20.7417600Z Entering 'third_party/protobuf/third_party/googletest' 2024-08-20T21:36:20.7457858Z Entering 'third_party/psimd' 2024-08-20T21:36:20.7496202Z Entering 'third_party/pthreadpool' 2024-08-20T21:36:20.7535623Z Entering 'third_party/pybind11' 2024-08-20T21:36:20.7574741Z Entering 'third_party/python-peachpy' 2024-08-20T21:36:20.7613405Z Entering 'third_party/sleef' 2024-08-20T21:36:20.7652225Z Entering 'third_party/tensorpipe' 2024-08-20T21:36:20.7690765Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-08-20T21:36:20.7728527Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-08-20T21:36:20.7765302Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-08-20T21:36:20.7802279Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-08-20T21:36:20.7840041Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-08-20T21:36:20.7895818Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2024-08-20T21:36:20.8175312Z Entering 'android/libs/fbjni' 2024-08-20T21:36:20.8214961Z Entering 'third_party/FP16' 2024-08-20T21:36:20.8252770Z Entering 'third_party/FXdiv' 2024-08-20T21:36:20.8291899Z Entering 'third_party/NNPACK' 2024-08-20T21:36:20.8331352Z Entering 'third_party/VulkanMemoryAllocator' 2024-08-20T21:36:20.8369625Z Entering 'third_party/XNNPACK' 2024-08-20T21:36:20.8426396Z Entering 'third_party/benchmark' 2024-08-20T21:36:20.8465990Z Entering 'third_party/cpp-httplib' 2024-08-20T21:36:20.8504404Z Entering 'third_party/cpuinfo' 2024-08-20T21:36:20.8543821Z Entering 'third_party/cudnn_frontend' 2024-08-20T21:36:20.8583744Z Entering 'third_party/cutlass' 2024-08-20T21:36:20.8630707Z Entering 'third_party/eigen' 2024-08-20T21:36:20.8670798Z Entering 'third_party/fbgemm' 2024-08-20T21:36:20.8710257Z Entering 'third_party/fbgemm/third_party/asmjit' 2024-08-20T21:36:20.8748418Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2024-08-20T21:36:20.8785575Z Entering 'third_party/fbgemm/third_party/cutlass' 2024-08-20T21:36:20.8831312Z Entering 'third_party/fbgemm/third_party/googletest' 2024-08-20T21:36:20.8868043Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2024-08-20T21:36:20.8906846Z Entering 'third_party/flatbuffers' 2024-08-20T21:36:20.8949210Z Entering 'third_party/fmt' 2024-08-20T21:36:20.8988212Z Entering 'third_party/gemmlowp/gemmlowp' 2024-08-20T21:36:20.9028187Z Entering 'third_party/gloo' 2024-08-20T21:36:20.9067353Z Entering 'third_party/googletest' 2024-08-20T21:36:20.9106958Z Entering 'third_party/ideep' 2024-08-20T21:36:20.9144539Z Entering 'third_party/ideep/mkl-dnn' 2024-08-20T21:36:20.9189590Z Entering 'third_party/ittapi' 2024-08-20T21:36:20.9230922Z Entering 'third_party/kineto' 2024-08-20T21:36:20.9269774Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2024-08-20T21:36:20.9307780Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2024-08-20T21:36:20.9348202Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2024-08-20T21:36:20.9387306Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-08-20T21:36:20.9425975Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-08-20T21:36:20.9464498Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-08-20T21:36:20.9505603Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-08-20T21:36:20.9543687Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-08-20T21:36:20.9581836Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-08-20T21:36:20.9621271Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-08-20T21:36:20.9662569Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2024-08-20T21:36:20.9700378Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2024-08-20T21:36:20.9739369Z Entering 'third_party/mimalloc' 2024-08-20T21:36:20.9780342Z Entering 'third_party/nccl/nccl' 2024-08-20T21:36:20.9818808Z Entering 'third_party/nlohmann' 2024-08-20T21:36:20.9858943Z Entering 'third_party/onnx' 2024-08-20T21:36:20.9914299Z Entering 'third_party/onnx/third_party/benchmark' 2024-08-20T21:36:20.9953080Z Entering 'third_party/onnx/third_party/pybind11' 2024-08-20T21:36:20.9994178Z Entering 'third_party/opentelemetry-cpp' 2024-08-20T21:36:21.0036464Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2024-08-20T21:36:21.0073982Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2024-08-20T21:36:21.0111473Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2024-08-20T21:36:21.0149875Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2024-08-20T21:36:21.0189535Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2024-08-20T21:36:21.0226697Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2024-08-20T21:36:21.0264942Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2024-08-20T21:36:21.0301930Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2024-08-20T21:36:21.0341898Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2024-08-20T21:36:21.0381283Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-08-20T21:36:21.0439341Z Entering 'third_party/pocketfft' 2024-08-20T21:36:21.0478159Z Entering 'third_party/protobuf' 2024-08-20T21:36:21.0519587Z Entering 'third_party/protobuf/third_party/benchmark' 2024-08-20T21:36:21.0557686Z Entering 'third_party/protobuf/third_party/googletest' 2024-08-20T21:36:21.0597258Z Entering 'third_party/psimd' 2024-08-20T21:36:21.0636272Z Entering 'third_party/pthreadpool' 2024-08-20T21:36:21.0675543Z Entering 'third_party/pybind11' 2024-08-20T21:36:21.0713486Z Entering 'third_party/python-peachpy' 2024-08-20T21:36:21.0752079Z Entering 'third_party/sleef' 2024-08-20T21:36:21.0791170Z Entering 'third_party/tensorpipe' 2024-08-20T21:36:21.0829484Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-08-20T21:36:21.0866877Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-08-20T21:36:21.0903633Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-08-20T21:36:21.0942906Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-08-20T21:36:21.0980042Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-08-20T21:36:21.1034018Z ##[endgroup] 2024-08-20T21:36:21.1072240Z [command]/usr/bin/git log -1 --format='%H' 2024-08-20T21:36:21.1098234Z '40ec5f6ddd9787aca0449b24128343ff4c4a88b3' 2024-08-20T21:36:21.1289831Z Prepare all required actions 2024-08-20T21:36:21.1290297Z Getting action download info 2024-08-20T21:36:21.2557930Z ##[group]Run ./.github/actions/setup-linux 2024-08-20T21:36:21.2558346Z env: 2024-08-20T21:36:21.2558606Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:36:21.2558918Z ##[endgroup] 2024-08-20T21:36:21.2622033Z ##[group]Run set -euo pipefail 2024-08-20T21:36:21.2622456Z set -euo pipefail 2024-08-20T21:36:21.2622815Z function get_ec2_metadata() { 2024-08-20T21:36:21.2623508Z  # Pulled from instance metadata endpoint for EC2 2024-08-20T21:36:21.2624426Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2024-08-20T21:36:21.2625208Z  category=$1 2024-08-20T21:36:21.2625974Z  # If it is GCP runner (runner name contains gcp), do not run this 2024-08-20T21:36:21.2626614Z  runner_name_str=i-027f5d590cb01bc2c 2024-08-20T21:36:21.2627105Z  if [[ -f /.inarc ]]; then 2024-08-20T21:36:21.2627585Z  echo "ARC Runner, no info on ec2 metadata" 2024-08-20T21:36:21.2628129Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2024-08-20T21:36:21.2628844Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2024-08-20T21:36:21.2629453Z  else 2024-08-20T21:36:21.2629914Z  curl -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2024-08-20T21:36:21.2630486Z  fi 2024-08-20T21:36:21.2630755Z } 2024-08-20T21:36:21.2631078Z echo "ami-id: $(get_ec2_metadata ami-id)" 2024-08-20T21:36:21.2631657Z echo "instance-id: $(get_ec2_metadata instance-id)" 2024-08-20T21:36:21.2632307Z echo "instance-type: $(get_ec2_metadata instance-type)" 2024-08-20T21:36:21.2632853Z echo "system info $(uname -a)" 2024-08-20T21:36:21.2640350Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:36:21.2640843Z env: 2024-08-20T21:36:21.2641118Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:36:21.2641450Z ##[endgroup] 2024-08-20T21:36:21.2770703Z ami-id: ami-06c68f701d8090592 2024-08-20T21:36:21.2819006Z instance-id: i-027f5d590cb01bc2c 2024-08-20T21:36:21.2864968Z instance-type: c5.2xlarge 2024-08-20T21:36:21.2874864Z system info Linux ip-10-0-4-199.ec2.internal 6.1.94-99.176.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 18 14:57:56 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2024-08-20T21:36:21.2900343Z ##[group]Run echo "IN_ARC_RUNNER=$([ -f /.inarc ] && echo true || echo false)" >> $GITHUB_OUTPUT 2024-08-20T21:36:21.2901280Z echo "IN_ARC_RUNNER=$([ -f /.inarc ] && echo true || echo false)" >> $GITHUB_OUTPUT 2024-08-20T21:36:21.2907618Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:36:21.2908107Z env: 2024-08-20T21:36:21.2908353Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:36:21.2908680Z ##[endgroup] 2024-08-20T21:36:21.2978219Z ##[group]Run if systemctl is-active --quiet docker; then 2024-08-20T21:36:21.2978824Z if systemctl is-active --quiet docker; then 2024-08-20T21:36:21.2979403Z  echo "Docker daemon is running..."; 2024-08-20T21:36:21.2980031Z else 2024-08-20T21:36:21.2980497Z  echo "Starting docker deamon..." && sudo systemctl start docker; 2024-08-20T21:36:21.2981077Z fi 2024-08-20T21:36:21.2986639Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:36:21.2987118Z env: 2024-08-20T21:36:21.2987373Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:36:21.2987708Z ##[endgroup] 2024-08-20T21:36:21.3060147Z Docker daemon is running... 2024-08-20T21:36:21.3108063Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2024-08-20T21:36:21.3108630Z with: 2024-08-20T21:36:21.3108881Z shell: bash 2024-08-20T21:36:21.3109146Z timeout_minutes: 5 2024-08-20T21:36:21.3109448Z max_attempts: 3 2024-08-20T21:36:21.3109753Z retry_wait_seconds: 30 2024-08-20T21:36:21.3113133Z command: AWS_ACCOUNT_ID=$(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 2024-08-20T21:36:21.3116548Z polling_interval_seconds: 1 2024-08-20T21:36:21.3116902Z warning_on_retry: true 2024-08-20T21:36:21.3117239Z continue_on_error: false 2024-08-20T21:36:21.3117555Z env: 2024-08-20T21:36:21.3117790Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:36:21.3118124Z AWS_RETRY_MODE: standard 2024-08-20T21:36:21.3118450Z AWS_MAX_ATTEMPTS: 5 2024-08-20T21:36:21.3118756Z AWS_DEFAULT_REGION: us-east-1 2024-08-20T21:36:21.3119115Z ##[endgroup] 2024-08-20T21:36:22.4518929Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2024-08-20T21:36:22.4519838Z Configure a credential helper to remove this warning. See 2024-08-20T21:36:22.4520710Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2024-08-20T21:36:22.4521268Z 2024-08-20T21:36:22.4521373Z Login Succeeded 2024-08-20T21:36:23.3658599Z Command completed after 1 attempt(s). 2024-08-20T21:36:23.3711097Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2024-08-20T21:36:23.3711839Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2024-08-20T21:36:23.3712487Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2024-08-20T21:36:23.3718834Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:36:23.3719325Z env: 2024-08-20T21:36:23.3719585Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:36:23.3719900Z ##[endgroup] 2024-08-20T21:36:23.3797421Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2024-08-20T21:36:23.3798193Z # ignore expansion of "docker ps -q" since it could be empty 2024-08-20T21:36:23.3798784Z # shellcheck disable=SC2046 2024-08-20T21:36:23.3799525Z docker stop $(docker ps -q) || true 2024-08-20T21:36:23.3799980Z # Prune all of the docker images 2024-08-20T21:36:23.3800415Z docker system prune -af 2024-08-20T21:36:23.3805785Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:36:23.3806272Z env: 2024-08-20T21:36:23.3806534Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:36:23.3806863Z ##[endgroup] 2024-08-20T21:36:23.4060946Z "docker stop" requires at least 1 argument. 2024-08-20T21:36:23.4061902Z See 'docker stop --help'. 2024-08-20T21:36:23.4062155Z 2024-08-20T21:36:23.4062370Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2024-08-20T21:36:23.4062757Z 2024-08-20T21:36:23.4062891Z Stop one or more running containers 2024-08-20T21:36:23.4217159Z Total reclaimed space: 0B 2024-08-20T21:36:23.4260037Z ##[group]Run set +e 2024-08-20T21:36:23.4260388Z set +e 2024-08-20T21:36:23.4260655Z set -x 2024-08-20T21:36:23.4260924Z  2024-08-20T21:36:23.4261220Z PT_DOMAIN=download.pytorch.org 2024-08-20T21:36:23.4262010Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2024-08-20T21:36:23.4263119Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2024-08-20T21:36:23.4263899Z # one is returned at random 2024-08-20T21:36:23.4264410Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2024-08-20T21:36:23.4264913Z  2024-08-20T21:36:23.4265245Z if [ -z "${RESOLVED_IP}" ]; then 2024-08-20T21:36:23.4265843Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2024-08-20T21:36:23.4266751Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2024-08-20T21:36:23.4267306Z  2024-08-20T21:36:23.4267602Z  if [ -z "${RESOLVED_IP}" ]; then 2024-08-20T21:36:23.4268128Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2024-08-20T21:36:23.4268631Z  exit 1 2024-08-20T21:36:23.4268925Z  fi 2024-08-20T21:36:23.4269196Z fi 2024-08-20T21:36:23.4269445Z  2024-08-20T21:36:23.4269774Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2024-08-20T21:36:23.4270786Z  # Clean up any old records first 2024-08-20T21:36:23.4271283Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2024-08-20T21:36:23.4271730Z fi 2024-08-20T21:36:23.4271970Z  2024-08-20T21:36:23.4272379Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2024-08-20T21:36:23.4272914Z cat /etc/hosts 2024-08-20T21:36:23.4278537Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:36:23.4279033Z env: 2024-08-20T21:36:23.4279300Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:36:23.4279615Z ##[endgroup] 2024-08-20T21:36:23.4303277Z + PT_DOMAIN=download.pytorch.org 2024-08-20T21:36:23.4309102Z ++ dig -4 +short download.pytorch.org 2024-08-20T21:36:23.4309801Z ++ tail -n1 2024-08-20T21:36:23.4633303Z + RESOLVED_IP=108.138.64.125 2024-08-20T21:36:23.4634183Z + '[' -z 108.138.64.125 ']' 2024-08-20T21:36:23.4634625Z + grep -r download.pytorch.org /etc/hosts 2024-08-20T21:36:23.4644704Z 18.165.98.58 download.pytorch.org 2024-08-20T21:36:23.4646028Z + sudo sed -i /download.pytorch.org/d /etc/hosts 2024-08-20T21:36:23.6958926Z + echo '108.138.64.125 download.pytorch.org' 2024-08-20T21:36:23.6959478Z + sudo tee -a /etc/hosts 2024-08-20T21:36:23.7359062Z 108.138.64.125 download.pytorch.org 2024-08-20T21:36:23.7374258Z + cat /etc/hosts 2024-08-20T21:36:23.7383912Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2024-08-20T21:36:23.7396551Z ::1 localhost6 localhost6.localdomain6 2024-08-20T21:36:23.7397086Z 108.138.64.125 download.pytorch.org 2024-08-20T21:36:23.7582352Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2024-08-20T21:36:23.7582980Z with: 2024-08-20T21:36:23.7583906Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:36:23.7584982Z docker-build-dir: .ci/docker 2024-08-20T21:36:23.7585351Z working-directory: . 2024-08-20T21:36:23.7585796Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:36:23.7586339Z force-push: false 2024-08-20T21:36:23.7586621Z env: 2024-08-20T21:36:23.7586865Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:36:23.7587189Z ##[endgroup] 2024-08-20T21:36:23.7611715Z ##[group]Run set -ex 2024-08-20T21:36:23.7612071Z set -ex 2024-08-20T21:36:23.7612351Z  2024-08-20T21:36:23.7612938Z # If the docker build directory or the build script doesn't exist, the action will 2024-08-20T21:36:23.7613974Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2024-08-20T21:36:23.7614780Z # job could then download the pre-built image as usual 2024-08-20T21:36:23.7615530Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/build.sh" ]]; then 2024-08-20T21:36:23.7616214Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2024-08-20T21:36:23.7616852Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2024-08-20T21:36:23.7617414Z  2024-08-20T21:36:23.7617919Z  echo "There is no Docker build script in ${REPO_NAME} repo, skipping..." 2024-08-20T21:36:23.7618550Z  exit 0 2024-08-20T21:36:23.7618819Z else 2024-08-20T21:36:23.7619166Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2024-08-20T21:36:23.7619607Z fi 2024-08-20T21:36:23.7619973Z  2024-08-20T21:36:23.7620434Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2024-08-20T21:36:23.7621311Z  # The docker image name already includes the ECR prefix and tag, so we can just 2024-08-20T21:36:23.7622089Z  # use it as it is, but first let's extract the tag 2024-08-20T21:36:23.7622798Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2024-08-20T21:36:23.7623531Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2024-08-20T21:36:23.7624313Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2024-08-20T21:36:23.7625079Z else 2024-08-20T21:36:23.7625554Z  DOCKER_TAG=$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2024-08-20T21:36:23.7626799Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2024-08-20T21:36:23.7627902Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2024-08-20T21:36:23.7628681Z fi 2024-08-20T21:36:23.7637648Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:36:23.7638132Z env: 2024-08-20T21:36:23.7638396Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:36:23.7638730Z REPO_NAME: pytorch 2024-08-20T21:36:23.7639676Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:36:23.7640726Z DOCKER_BUILD_DIR: .ci/docker 2024-08-20T21:36:23.7641205Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:36:23.7641724Z ##[endgroup] 2024-08-20T21:36:23.7667968Z + [[ ! -d .ci/docker ]] 2024-08-20T21:36:23.7668412Z + [[ ! -f .ci/docker/build.sh ]] 2024-08-20T21:36:23.7668786Z + echo skip=false 2024-08-20T21:36:23.7670475Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-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* ]] 2024-08-20T21:36:23.7676987Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:36:23.7678866Z ++ awk -F '[:,]' '{print $2}' 2024-08-20T21:36:23.7730524Z + DOCKER_TAG=f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:36:23.7731398Z + echo docker-tag=f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:36:23.7733117Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:36:23.7775497Z ##[group]Run set +e 2024-08-20T21:36:23.7775840Z set +e 2024-08-20T21:36:23.7776116Z set -x 2024-08-20T21:36:23.7776383Z  2024-08-20T21:36:23.7776625Z login() { 2024-08-20T21:36:23.7777295Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2024-08-20T21:36:23.7778027Z } 2024-08-20T21:36:23.7778266Z  2024-08-20T21:36:23.7778517Z retry () { 2024-08-20T21:36:23.7778893Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2024-08-20T21:36:23.7779311Z } 2024-08-20T21:36:23.7779564Z  2024-08-20T21:36:23.7779956Z retry login "${DOCKER_REGISTRY}" 2024-08-20T21:36:23.7780348Z  2024-08-20T21:36:23.7780806Z # Check if image already exists, if it does then skip building it 2024-08-20T21:36:23.7781515Z if docker manifest inspect "${DOCKER_IMAGE}"; then 2024-08-20T21:36:23.7782013Z  exit 0 2024-08-20T21:36:23.7782295Z fi 2024-08-20T21:36:23.7782564Z  2024-08-20T21:36:23.7783123Z # NB: This part requires a full checkout. Otherwise, the merge base will 2024-08-20T21:36:23.7783969Z # be empty. The default action would be to continue rebuild the image 2024-08-20T21:36:23.7784714Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2024-08-20T21:36:23.7785385Z  # if we're on the base branch then use the parent commit 2024-08-20T21:36:23.7785963Z  MERGE_BASE=$(git rev-parse HEAD~) 2024-08-20T21:36:23.7786379Z else 2024-08-20T21:36:23.7786833Z  # otherwise we're on a PR, so use the most recent base commit 2024-08-20T21:36:23.7787513Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2024-08-20T21:36:23.7788011Z fi 2024-08-20T21:36:23.7788265Z  2024-08-20T21:36:23.7788545Z if [[ -z "${MERGE_BASE}" ]]; then 2024-08-20T21:36:23.7789208Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2024-08-20T21:36:23.7789652Z  2024-08-20T21:36:23.7790299Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2024-08-20T21:36:23.7791076Z  exit 0 2024-08-20T21:36:23.7791359Z fi 2024-08-20T21:36:23.7791600Z  2024-08-20T21:36:23.7792022Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2024-08-20T21:36:23.7793025Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2024-08-20T21:36:23.7793853Z  exit 1 2024-08-20T21:36:23.7794117Z fi 2024-08-20T21:36:23.7794366Z  2024-08-20T21:36:23.7794846Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2024-08-20T21:36:23.7795811Z # If no image exists but the hash is the same as the previous hash then we should error out here 2024-08-20T21:36:23.7796704Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2024-08-20T21:36:23.7797695Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2024-08-20T21:36:23.7798814Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2024-08-20T21:36:23.7799472Z fi 2024-08-20T21:36:23.7799725Z  2024-08-20T21:36:23.7800169Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2024-08-20T21:36:23.7806246Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:36:23.7806742Z env: 2024-08-20T21:36:23.7806993Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:36:23.7807345Z DOCKER_BUILD_DIR: .ci/docker 2024-08-20T21:36:23.7807799Z BASE_REVISION: 91f3d614142df02f619e44a68e3d9e0dfeba49ec 2024-08-20T21:36:23.7808928Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:36:23.7810052Z DOCKER_TAG: f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:36:23.7810669Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:36:23.7811195Z ##[endgroup] 2024-08-20T21:36:23.7838663Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:36:23.7839354Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:36:23.7841345Z + aws ecr get-login-password --region us-east-1 2024-08-20T21:36:23.7842670Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:36:24.3590404Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2024-08-20T21:36:24.3591752Z Configure a credential helper to remove this warning. See 2024-08-20T21:36:24.3592743Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2024-08-20T21:36:24.3593323Z 2024-08-20T21:36:24.3593436Z Login Succeeded 2024-08-20T21:36:24.3607266Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:36:24.5866499Z { 2024-08-20T21:36:24.5866990Z "schemaVersion": 2, 2024-08-20T21:36:24.5867871Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2024-08-20T21:36:24.5868839Z "config": { 2024-08-20T21:36:24.5869572Z "mediaType": "application/vnd.docker.container.image.v1+json", 2024-08-20T21:36:24.5871943Z "size": 43416, 2024-08-20T21:36:24.5872959Z "digest": "sha256:2aaa7058a7e1d063370f2bda46a0fffde19193dd83023b51f0f1d1c55b4a88e4" 2024-08-20T21:36:24.5873947Z }, 2024-08-20T21:36:24.5874413Z "layers": [ 2024-08-20T21:36:24.5874805Z { 2024-08-20T21:36:24.5875240Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5876139Z "size": 28584223, 2024-08-20T21:36:24.5877149Z "digest": "sha256:560c024910bebac6b404791af28ebd48a8289303b8377d17b67ffdfe52754f2a" 2024-08-20T21:36:24.5878508Z }, 2024-08-20T21:36:24.5878748Z { 2024-08-20T21:36:24.5879350Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5880063Z "size": 1822, 2024-08-20T21:36:24.5880997Z "digest": "sha256:9973d24424a5d77923bf32f3f7cf77d04111177f289c946a51eb77633ac03200" 2024-08-20T21:36:24.5881972Z }, 2024-08-20T21:36:24.5882317Z { 2024-08-20T21:36:24.5882901Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5883923Z "size": 313390323, 2024-08-20T21:36:24.5884817Z "digest": "sha256:31cf2448eae342b481298db0563fe7f68f4840ac62385700a1ef3b6824a54e7b" 2024-08-20T21:36:24.5885950Z }, 2024-08-20T21:36:24.5886311Z { 2024-08-20T21:36:24.5887037Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5888362Z "size": 805, 2024-08-20T21:36:24.5889650Z "digest": "sha256:2cbc8585686fbca1e1a900ffd7ff97a92a6445dbf506a2cfad30233d7f6648cf" 2024-08-20T21:36:24.5891194Z }, 2024-08-20T21:36:24.5891726Z { 2024-08-20T21:36:24.5892709Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5893864Z "size": 79404447, 2024-08-20T21:36:24.5894714Z "digest": "sha256:8c4852dbedbae7b66672521b065738abe5da8a8d97a1bf720cacb3fb8bbaf8b8" 2024-08-20T21:36:24.5895679Z }, 2024-08-20T21:36:24.5895926Z { 2024-08-20T21:36:24.5896344Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5897053Z "size": 545, 2024-08-20T21:36:24.5898329Z "digest": "sha256:dc477a9bbcc668c57f84105691c20adeb11886c57cb1a1189f2ab2b342169ee1" 2024-08-20T21:36:24.5899885Z }, 2024-08-20T21:36:24.5900410Z { 2024-08-20T21:36:24.5901408Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5902699Z "size": 1259, 2024-08-20T21:36:24.5903951Z "digest": "sha256:8c153b899f1d12088fcea7cbf5e519ff80a06514340f15766a9d81a81c067cb0" 2024-08-20T21:36:24.5905432Z }, 2024-08-20T21:36:24.5905946Z { 2024-08-20T21:36:24.5906954Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5908254Z "size": 482, 2024-08-20T21:36:24.5909517Z "digest": "sha256:0b1c4336fa8bd2c1010a17a3bef3e2959d8bb63edccb0ca967b332b6313323bc" 2024-08-20T21:36:24.5911048Z }, 2024-08-20T21:36:24.5911589Z { 2024-08-20T21:36:24.5912553Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5913859Z "size": 110, 2024-08-20T21:36:24.5914841Z "digest": "sha256:b012c0f517e6752698d543b850ac5b96ad9bff3e6e62742e5caa234ba3843d63" 2024-08-20T21:36:24.5915862Z }, 2024-08-20T21:36:24.5916237Z { 2024-08-20T21:36:24.5916896Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5917882Z "size": 3842, 2024-08-20T21:36:24.5918861Z "digest": "sha256:4fe699dadca1a5f4853c531c904484700f344c8cf674d8681811f67d4e2d51f1" 2024-08-20T21:36:24.5919856Z }, 2024-08-20T21:36:24.5920210Z { 2024-08-20T21:36:24.5920972Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5921976Z "size": 1909, 2024-08-20T21:36:24.5922956Z "digest": "sha256:d67ce3a9cb4bcde890a78de673a7653e1170329c91e4c2c42edff9f25eab0879" 2024-08-20T21:36:24.5924063Z }, 2024-08-20T21:36:24.5924297Z { 2024-08-20T21:36:24.5924727Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5925280Z "size": 701, 2024-08-20T21:36:24.5926059Z "digest": "sha256:9841596ece9eebfc9229b66dac9085e17c614f6e2697b9b6787e50cef1fffebe" 2024-08-20T21:36:24.5926710Z }, 2024-08-20T21:36:24.5926936Z { 2024-08-20T21:36:24.5927368Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5927930Z "size": 2609138458, 2024-08-20T21:36:24.5928478Z "digest": "sha256:e72835db40351a3b56e0ca4a982191be176bcd8497f362923ad7e903e4e2ce72" 2024-08-20T21:36:24.5929102Z }, 2024-08-20T21:36:24.5929337Z { 2024-08-20T21:36:24.5929750Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5930463Z "size": 32, 2024-08-20T21:36:24.5931010Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:36:24.5931637Z }, 2024-08-20T21:36:24.5931872Z { 2024-08-20T21:36:24.5932304Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5932855Z "size": 380, 2024-08-20T21:36:24.5933396Z "digest": "sha256:8ef04e16f963f1861c8b9b1d3370bbcfd9d0759722b164656ae8d9d27e8cd69c" 2024-08-20T21:36:24.5934032Z }, 2024-08-20T21:36:24.5934293Z { 2024-08-20T21:36:24.5934799Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5935361Z "size": 104, 2024-08-20T21:36:24.5935895Z "digest": "sha256:5e6c0035b872ae6257af61cf08fb117429b59e9b5e8ad37fbd87ba1a42f0615f" 2024-08-20T21:36:24.5936531Z }, 2024-08-20T21:36:24.5936766Z { 2024-08-20T21:36:24.5937182Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5937896Z + exit 0 2024-08-20T21:36:24.5938160Z "size": 230, 2024-08-20T21:36:24.5938704Z "digest": "sha256:59b7b891e32d1daecd4b72b2f0ebcc56c8262047d6b4ded931b0774ef133e6a1" 2024-08-20T21:36:24.5939347Z }, 2024-08-20T21:36:24.5939579Z { 2024-08-20T21:36:24.5940165Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5940736Z "size": 2912748, 2024-08-20T21:36:24.5941298Z "digest": "sha256:5f4e7925ebfbdc8094468c559f6e04dddc21c34b2f3836dfeb99150d0fc624bf" 2024-08-20T21:36:24.5941929Z }, 2024-08-20T21:36:24.5942164Z { 2024-08-20T21:36:24.5942722Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5943278Z "size": 1805, 2024-08-20T21:36:24.5943818Z "digest": "sha256:12a4509699601b6f70bff1449173c2e63668e0bfca039e6e795a0b206f15f569" 2024-08-20T21:36:24.5944441Z }, 2024-08-20T21:36:24.5944663Z { 2024-08-20T21:36:24.5945172Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5945793Z "size": 105, 2024-08-20T21:36:24.5946332Z "digest": "sha256:b8c108e0e581d467f2bf6f42d629ae9133d1c81f2819bf9aae0e6a61f4899080" 2024-08-20T21:36:24.5946966Z }, 2024-08-20T21:36:24.5947201Z { 2024-08-20T21:36:24.5947618Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5948179Z "size": 563, 2024-08-20T21:36:24.5948713Z "digest": "sha256:d3e5b0194b603125049ad0a4ba6092302c71276b61021ffffeac0839f8d0d5b0" 2024-08-20T21:36:24.5949326Z }, 2024-08-20T21:36:24.5949561Z { 2024-08-20T21:36:24.5949996Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5950547Z "size": 32, 2024-08-20T21:36:24.5951096Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:36:24.5951732Z }, 2024-08-20T21:36:24.5951954Z { 2024-08-20T21:36:24.5952385Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5952946Z "size": 104, 2024-08-20T21:36:24.5953488Z "digest": "sha256:3e4dba8f4febc7776542a5c0df310917594fdd902b5f25ee01e2e11d7dda8dde" 2024-08-20T21:36:24.5954138Z }, 2024-08-20T21:36:24.5954370Z { 2024-08-20T21:36:24.5954789Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5955351Z "size": 504, 2024-08-20T21:36:24.5955904Z "digest": "sha256:4dd8f5b900be084ea5650811264c5995abde8da16fdd9a9e5330b4d6b7c9d2bf" 2024-08-20T21:36:24.5956532Z }, 2024-08-20T21:36:24.5956770Z { 2024-08-20T21:36:24.5957199Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5957756Z "size": 121478498, 2024-08-20T21:36:24.5958336Z "digest": "sha256:f0966db14aac5cadba599cacd437c5c62e774a63909d41795e08ceb102c79ee8" 2024-08-20T21:36:24.5958982Z }, 2024-08-20T21:36:24.5959205Z { 2024-08-20T21:36:24.5959638Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5960198Z "size": 109, 2024-08-20T21:36:24.5960733Z "digest": "sha256:3ca232406eff20a176ec18b81ea360745f258a23b296af5ed9caa7f5f5e0ba9b" 2024-08-20T21:36:24.5961465Z }, 2024-08-20T21:36:24.5961699Z { 2024-08-20T21:36:24.5962115Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5962678Z "size": 488, 2024-08-20T21:36:24.5963212Z "digest": "sha256:93684c5d1426705226d7a8f24fa6a27fa773a59bb4836503d6aedb81da78187b" 2024-08-20T21:36:24.5963819Z }, 2024-08-20T21:36:24.5964055Z { 2024-08-20T21:36:24.5964486Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5965038Z "size": 382, 2024-08-20T21:36:24.5965566Z "digest": "sha256:891f1a671536e6eb04324cf503c429927fad1829d8d17b87576b72b795b598c8" 2024-08-20T21:36:24.5966185Z }, 2024-08-20T21:36:24.5966405Z { 2024-08-20T21:36:24.5966831Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5967394Z "size": 101, 2024-08-20T21:36:24.5967916Z "digest": "sha256:2d1cde488756cc124c53793a09929b80bab99bf795615ff8b3985222590a1a9e" 2024-08-20T21:36:24.5968547Z }, 2024-08-20T21:36:24.5968781Z { 2024-08-20T21:36:24.5969192Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5969760Z "size": 1473, 2024-08-20T21:36:24.5970314Z "digest": "sha256:1b670936c6e7cbe1a7027bdecaf56518c150d4fef9c37e9c8d6028ed24c470cd" 2024-08-20T21:36:24.5970937Z }, 2024-08-20T21:36:24.5971169Z { 2024-08-20T21:36:24.5971596Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5972148Z "size": 594718706, 2024-08-20T21:36:24.5972770Z "digest": "sha256:c89135369bac79807627e2ca0d308b338e5a81d9784725e77e44c85e824c9b44" 2024-08-20T21:36:24.5973392Z }, 2024-08-20T21:36:24.5973612Z { 2024-08-20T21:36:24.5974043Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5974605Z "size": 163, 2024-08-20T21:36:24.5975128Z "digest": "sha256:e32451be40c166669102ba85593c8d7dce7eecf23c4170d78ce9724d0643dda3" 2024-08-20T21:36:24.5975755Z }, 2024-08-20T21:36:24.5975993Z { 2024-08-20T21:36:24.5976408Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5976970Z "size": 2210, 2024-08-20T21:36:24.5977532Z "digest": "sha256:7647e82c5c3f0c4f5cad2572dff08f0bf4a531bbfd9b1a5feb6ce436dd4e49e4" 2024-08-20T21:36:24.5978165Z }, 2024-08-20T21:36:24.5978405Z { 2024-08-20T21:36:24.5978833Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5979380Z "size": 152, 2024-08-20T21:36:24.5980041Z "digest": "sha256:2d334a3c11fd5710fd53edfaaae7b104a0c98d954e58f65b01c7d753c4511eba" 2024-08-20T21:36:24.5980686Z }, 2024-08-20T21:36:24.5980904Z { 2024-08-20T21:36:24.5981334Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5981898Z "size": 646, 2024-08-20T21:36:24.5982437Z "digest": "sha256:e9ea16c3c5d48823f203ff83eff807c5c4bc6fb665fa6ca38062ce17b7f666d9" 2024-08-20T21:36:24.5983083Z }, 2024-08-20T21:36:24.5983314Z { 2024-08-20T21:36:24.5983730Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5984297Z "size": 32, 2024-08-20T21:36:24.5984846Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:36:24.5985477Z }, 2024-08-20T21:36:24.5985714Z { 2024-08-20T21:36:24.5986144Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5986690Z "size": 166, 2024-08-20T21:36:24.5987231Z "digest": "sha256:66a5808f4ad5d4aa00c437341e5d2d79a1831f639ba2975ad7dbc1a19cf59e82" 2024-08-20T21:36:24.5987865Z }, 2024-08-20T21:36:24.5988087Z { 2024-08-20T21:36:24.5988518Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5989085Z "size": 109, 2024-08-20T21:36:24.5989627Z "digest": "sha256:b92de615fef3f321b432cf7abbcc684d72733d3e44836f4b39efe6294cc5e960" 2024-08-20T21:36:24.5990273Z }, 2024-08-20T21:36:24.5990511Z { 2024-08-20T21:36:24.5990931Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5991592Z "size": 102, 2024-08-20T21:36:24.5992137Z "digest": "sha256:56dd63029e04a51ae0ca3da9892051166a52e04aef2ac22ec5f2e7d5e34afb15" 2024-08-20T21:36:24.5992760Z }, 2024-08-20T21:36:24.5993000Z { 2024-08-20T21:36:24.5993431Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5993981Z "size": 422, 2024-08-20T21:36:24.5994517Z "digest": "sha256:0e19dd6ac61155a486662c375d8045665b099ba4433e788e7c1190aa54f22b05" 2024-08-20T21:36:24.5995143Z }, 2024-08-20T21:36:24.5995371Z { 2024-08-20T21:36:24.5995801Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5996365Z "size": 32, 2024-08-20T21:36:24.5996898Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:36:24.5997538Z }, 2024-08-20T21:36:24.5997774Z { 2024-08-20T21:36:24.5998189Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.5998762Z "size": 111, 2024-08-20T21:36:24.5999327Z "digest": "sha256:deffd0debe5eeb753ba39d21c285b32e694c57608d36e197b36159a1bbe25904" 2024-08-20T21:36:24.5999967Z }, 2024-08-20T21:36:24.6000201Z { 2024-08-20T21:36:24.6000629Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6001177Z "size": 475, 2024-08-20T21:36:24.6001708Z "digest": "sha256:823a4c61790a03362056ad0704e048b5e346bb14825b282d9a51d20a24f20f24" 2024-08-20T21:36:24.6002322Z }, 2024-08-20T21:36:24.6002542Z { 2024-08-20T21:36:24.6003043Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6003609Z "size": 32, 2024-08-20T21:36:24.6004148Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:36:24.6004796Z }, 2024-08-20T21:36:24.6005032Z { 2024-08-20T21:36:24.6005447Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6006011Z "size": 112, 2024-08-20T21:36:24.6006552Z "digest": "sha256:52c09d8bb1145bf70146f81c269d116f279de800e78599715cca543eb483e42d" 2024-08-20T21:36:24.6007171Z }, 2024-08-20T21:36:24.6007406Z { 2024-08-20T21:36:24.6007839Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6008386Z "size": 564, 2024-08-20T21:36:24.6008947Z "digest": "sha256:fc113046ff5b58aaa39f078222cde0f7aafa5a591ebb9a6b0a0316a92f96d033" 2024-08-20T21:36:24.6009593Z }, 2024-08-20T21:36:24.6009816Z { 2024-08-20T21:36:24.6010255Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6010820Z "size": 43147817, 2024-08-20T21:36:24.6011379Z "digest": "sha256:58fcfcf8962b6535ff551dfc181f884b2f4dc60addbf4f054bdeeb91d584277f" 2024-08-20T21:36:24.6012029Z }, 2024-08-20T21:36:24.6012261Z { 2024-08-20T21:36:24.6012686Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6013247Z "size": 106, 2024-08-20T21:36:24.6013806Z "digest": "sha256:a6bbbb7aff7860a0cdcd2d16dcb5f1a616b92704025f110ea0145903e24c98de" 2024-08-20T21:36:24.6014462Z }, 2024-08-20T21:36:24.6014683Z { 2024-08-20T21:36:24.6015114Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6015659Z "size": 294, 2024-08-20T21:36:24.6016188Z "digest": "sha256:58c762741f8397d210849409ab3166528c26e9030fcfe7c1ae580ce602aa4083" 2024-08-20T21:36:24.6016802Z }, 2024-08-20T21:36:24.6017021Z { 2024-08-20T21:36:24.6017449Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6018048Z "size": 32, 2024-08-20T21:36:24.6018595Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:36:24.6019216Z }, 2024-08-20T21:36:24.6019451Z { 2024-08-20T21:36:24.6019962Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6020516Z "size": 106, 2024-08-20T21:36:24.6021075Z "digest": "sha256:36d6dbd6c3c6a27a1fc5c3cc27f2b80ccb1cb99168d583e9e527ba95b1303495" 2024-08-20T21:36:24.6021829Z }, 2024-08-20T21:36:24.6022052Z { 2024-08-20T21:36:24.6022477Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6023038Z "size": 425, 2024-08-20T21:36:24.6023574Z "digest": "sha256:f6e31afd70a789ecc0d8f950866fae85e550b900a43fc20f10f23926c891e3ab" 2024-08-20T21:36:24.6024207Z }, 2024-08-20T21:36:24.6024438Z { 2024-08-20T21:36:24.6024854Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6025414Z "size": 20262171, 2024-08-20T21:36:24.6026363Z "digest": "sha256:4076a363f04c6788a5ab7f070c8b710f2ce3cab5e2bdd5a88fc826cc1fed41ec" 2024-08-20T21:36:24.6026989Z }, 2024-08-20T21:36:24.6027226Z { 2024-08-20T21:36:24.6027654Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6028205Z "size": 108, 2024-08-20T21:36:24.6028769Z "digest": "sha256:da1b55b13c80cac5c9ef2a0eeb98279caf71d6d9dc0e082c181244e45c034d07" 2024-08-20T21:36:24.6029413Z }, 2024-08-20T21:36:24.6029637Z { 2024-08-20T21:36:24.6030065Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6030629Z "size": 439, 2024-08-20T21:36:24.6031152Z "digest": "sha256:852b7bd929d089cabae97c28bc481262013b52714aca66436277b2923d8ac7a7" 2024-08-20T21:36:24.6031782Z }, 2024-08-20T21:36:24.6032007Z { 2024-08-20T21:36:24.6032413Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6032966Z "size": 701, 2024-08-20T21:36:24.6033638Z "digest": "sha256:9841596ece9eebfc9229b66dac9085e17c614f6e2697b9b6787e50cef1fffebe" 2024-08-20T21:36:24.6034262Z }, 2024-08-20T21:36:24.6034490Z { 2024-08-20T21:36:24.6034912Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6035452Z "size": 143, 2024-08-20T21:36:24.6035987Z "digest": "sha256:43c374b7d87c83c0d9133afd916a9404b9264d90b612e6af3b80d3ff02489a0a" 2024-08-20T21:36:24.6036608Z }, 2024-08-20T21:36:24.6036822Z { 2024-08-20T21:36:24.6037251Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6037807Z "size": 135, 2024-08-20T21:36:24.6038340Z "digest": "sha256:2ae4d1692345e5e2ff7f22f2a51fae87d727f585b1ebc2ceaa06227c7b219489" 2024-08-20T21:36:24.6038972Z }, 2024-08-20T21:36:24.6039196Z { 2024-08-20T21:36:24.6039605Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6040162Z "size": 32, 2024-08-20T21:36:24.6040702Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:36:24.6041326Z }, 2024-08-20T21:36:24.6041552Z { 2024-08-20T21:36:24.6041971Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6042515Z "size": 194, 2024-08-20T21:36:24.6043044Z "digest": "sha256:02fd8160fb6156c3c183324f029e9286283ac4576982eeb6c4b532da8d7cddd7" 2024-08-20T21:36:24.6043656Z }, 2024-08-20T21:36:24.6043868Z { 2024-08-20T21:36:24.6044287Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6044850Z "size": 1380, 2024-08-20T21:36:24.6045376Z "digest": "sha256:1860f83d189475b980ab9ee8b8ee0bba86d85329f6e147944ae7a42157b04160" 2024-08-20T21:36:24.6046000Z }, 2024-08-20T21:36:24.6046229Z { 2024-08-20T21:36:24.6046636Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6047194Z "size": 701, 2024-08-20T21:36:24.6047733Z "digest": "sha256:9841596ece9eebfc9229b66dac9085e17c614f6e2697b9b6787e50cef1fffebe" 2024-08-20T21:36:24.6048349Z }, 2024-08-20T21:36:24.6048587Z { 2024-08-20T21:36:24.6049006Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6049549Z "size": 138, 2024-08-20T21:36:24.6050110Z "digest": "sha256:1beebf68aabb8fb64f447b43f6980ed57c666ada4bfd90faf2569a6da251ae8e" 2024-08-20T21:36:24.6050756Z }, 2024-08-20T21:36:24.6050968Z { 2024-08-20T21:36:24.6051393Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6052056Z "size": 32, 2024-08-20T21:36:24.6052584Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:36:24.6053222Z }, 2024-08-20T21:36:24.6053446Z { 2024-08-20T21:36:24.6053857Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6054416Z "size": 155, 2024-08-20T21:36:24.6054972Z "digest": "sha256:e0cbebc1b4e27811b288dd14edb52e86c01ad1ecb1362e8b74c9521e378e7287" 2024-08-20T21:36:24.6055600Z }, 2024-08-20T21:36:24.6055829Z { 2024-08-20T21:36:24.6056255Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6056797Z "size": 849, 2024-08-20T21:36:24.6057333Z "digest": "sha256:3e8f996f54cd6d79086bd4a75bf8635a86293aef8535806b4561821fbe21692d" 2024-08-20T21:36:24.6057956Z }, 2024-08-20T21:36:24.6058169Z { 2024-08-20T21:36:24.6058590Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6059146Z "size": 701, 2024-08-20T21:36:24.6059677Z "digest": "sha256:9841596ece9eebfc9229b66dac9085e17c614f6e2697b9b6787e50cef1fffebe" 2024-08-20T21:36:24.6060385Z }, 2024-08-20T21:36:24.6060610Z { 2024-08-20T21:36:24.6061019Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6061574Z "size": 139, 2024-08-20T21:36:24.6062110Z "digest": "sha256:689d9bf507d0f1a37ad9857c17601e3ba4ce677cc7bd6a5ec6778e35b7092eb4" 2024-08-20T21:36:24.6062725Z }, 2024-08-20T21:36:24.6062955Z { 2024-08-20T21:36:24.6063451Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6064000Z "size": 32, 2024-08-20T21:36:24.6064542Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:36:24.6065171Z }, 2024-08-20T21:36:24.6065385Z { 2024-08-20T21:36:24.6065806Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6066361Z "size": 160, 2024-08-20T21:36:24.6066904Z "digest": "sha256:ca5838b6767dabfb99553effdca2c070fb09432fc2f2aa55fd32b97c6a3bb69f" 2024-08-20T21:36:24.6067551Z }, 2024-08-20T21:36:24.6067777Z { 2024-08-20T21:36:24.6068185Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6068740Z "size": 908, 2024-08-20T21:36:24.6069279Z "digest": "sha256:2ab493b780e6673f1c4155bc7c7ec7ba0a9aea98bc440070691ebffab08d0499" 2024-08-20T21:36:24.6069900Z }, 2024-08-20T21:36:24.6070129Z { 2024-08-20T21:36:24.6070548Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6071089Z "size": 701, 2024-08-20T21:36:24.6071630Z "digest": "sha256:9841596ece9eebfc9229b66dac9085e17c614f6e2697b9b6787e50cef1fffebe" 2024-08-20T21:36:24.6072258Z }, 2024-08-20T21:36:24.6072468Z { 2024-08-20T21:36:24.6072891Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6073448Z "size": 134, 2024-08-20T21:36:24.6073965Z "digest": "sha256:aa49767ed126d96b9027bf94b97dfc987878b8042215cc45e015f63b12fd8bf6" 2024-08-20T21:36:24.6074595Z }, 2024-08-20T21:36:24.6074820Z { 2024-08-20T21:36:24.6075228Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6075778Z "size": 32, 2024-08-20T21:36:24.6076318Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:36:24.6076937Z }, 2024-08-20T21:36:24.6077167Z { 2024-08-20T21:36:24.6077588Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6078126Z "size": 159, 2024-08-20T21:36:24.6078684Z "digest": "sha256:9c112f6fb43acecc3e1aa531f9c026a74f4bdcf7fa2b1216b5b479a8625a20ae" 2024-08-20T21:36:24.6079319Z }, 2024-08-20T21:36:24.6079529Z { 2024-08-20T21:36:24.6079954Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6080511Z "size": 1579, 2024-08-20T21:36:24.6081040Z "digest": "sha256:056972111ac5414fb416f2254af5eeb1edcb4bb60868dc842aa8dd49ead09d05" 2024-08-20T21:36:24.6081668Z }, 2024-08-20T21:36:24.6081971Z { 2024-08-20T21:36:24.6082384Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6082945Z "size": 32, 2024-08-20T21:36:24.6083488Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:36:24.6084111Z }, 2024-08-20T21:36:24.6084343Z { 2024-08-20T21:36:24.6084766Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6085303Z "size": 135, 2024-08-20T21:36:24.6085851Z "digest": "sha256:37490d77553aec595ade745dcf8b6ade68b094311ca3795d1ff4fd95e6437b2a" 2024-08-20T21:36:24.6086475Z }, 2024-08-20T21:36:24.6086689Z { 2024-08-20T21:36:24.6087109Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6087666Z "size": 378, 2024-08-20T21:36:24.6088211Z "digest": "sha256:55ffcd4cda011d5b6188ebf1385ffe5b8e9ea2ba4d6e31c9bc74fec2dee269e5" 2024-08-20T21:36:24.6088862Z }, 2024-08-20T21:36:24.6089087Z { 2024-08-20T21:36:24.6089500Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6090053Z "size": 32, 2024-08-20T21:36:24.6090596Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:36:24.6091218Z }, 2024-08-20T21:36:24.6091450Z { 2024-08-20T21:36:24.6091868Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6092409Z "size": 104, 2024-08-20T21:36:24.6092949Z "digest": "sha256:4085287a75081f0f03b8d2a1fb53c521a6f56958ca0ddaa918dc34983216bb80" 2024-08-20T21:36:24.6093643Z }, 2024-08-20T21:36:24.6093856Z { 2024-08-20T21:36:24.6094289Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6094847Z "size": 1841, 2024-08-20T21:36:24.6095373Z "digest": "sha256:45f64d78b2480718ab5e00c5717b2b6a0252e60a5bd6e0e6170b9d3cce4b9499" 2024-08-20T21:36:24.6096000Z }, 2024-08-20T21:36:24.6096232Z { 2024-08-20T21:36:24.6096642Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6097208Z "size": 7529599, 2024-08-20T21:36:24.6097768Z "digest": "sha256:c6ce826bc67b42df29739ac9226b1e66b52da7f2a0d29615983421cb51799601" 2024-08-20T21:36:24.6098389Z }, 2024-08-20T21:36:24.6098623Z { 2024-08-20T21:36:24.6099045Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6099591Z "size": 106, 2024-08-20T21:36:24.6100243Z "digest": "sha256:0c6508f0dedcdac9accff0bd8b9a4bfeab224784b95774be2b7f8176822eac7b" 2024-08-20T21:36:24.6100896Z }, 2024-08-20T21:36:24.6101124Z { 2024-08-20T21:36:24.6101554Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6102112Z "size": 164, 2024-08-20T21:36:24.6102654Z "digest": "sha256:af18f4fae28b398c90fab467ce76ba5e34629be182ed51b3df983cbf0ccad439" 2024-08-20T21:36:24.6103297Z }, 2024-08-20T21:36:24.6103526Z { 2024-08-20T21:36:24.6103944Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6104512Z "size": 7943, 2024-08-20T21:36:24.6105077Z "digest": "sha256:e415411fbadd9d6e13dca54a8decfc6b0b31c219fe6362707f6d7aeba1f932c7" 2024-08-20T21:36:24.6105707Z }, 2024-08-20T21:36:24.6105942Z { 2024-08-20T21:36:24.6106365Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6106908Z "size": 8066, 2024-08-20T21:36:24.6107455Z "digest": "sha256:8801c8ab2ed327d5ae39c98fb179f59118a94c6de66189eb9809bb0147464cc0" 2024-08-20T21:36:24.6108077Z }, 2024-08-20T21:36:24.6108288Z { 2024-08-20T21:36:24.6108717Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6109268Z "size": 301, 2024-08-20T21:36:24.6109784Z "digest": "sha256:33d589b886753bb2d002c6d637579ac3e17d9c4de498c0d1d8a17bd2cb738313" 2024-08-20T21:36:24.6110404Z }, 2024-08-20T21:36:24.6110630Z { 2024-08-20T21:36:24.6111034Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6111592Z "size": 32, 2024-08-20T21:36:24.6112226Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:36:24.6112839Z }, 2024-08-20T21:36:24.6113067Z { 2024-08-20T21:36:24.6113489Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6114030Z "size": 108, 2024-08-20T21:36:24.6114554Z "digest": "sha256:005437c751415d116f09202fbaaf1962a998da11c25613e1a0a2420b02fd419d" 2024-08-20T21:36:24.6115163Z }, 2024-08-20T21:36:24.6115374Z { 2024-08-20T21:36:24.6115800Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6116356Z "size": 54145661, 2024-08-20T21:36:24.6116919Z "digest": "sha256:3ec2dad3f44186ff7db7ad2623c04eda6ef73bb99fc66d1ed44a42ec0b7a9402" 2024-08-20T21:36:24.6117571Z }, 2024-08-20T21:36:24.6117795Z { 2024-08-20T21:36:24.6118202Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-08-20T21:36:24.6118757Z "size": 32, 2024-08-20T21:36:24.6119297Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-08-20T21:36:24.6119931Z } 2024-08-20T21:36:24.6120147Z ] 2024-08-20T21:36:24.6120373Z } 2024-08-20T21:36:24.6228966Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*/} 2024-08-20T21:36:24.6229453Z tag=${ECR_DOCKER_IMAGE##*/} 2024-08-20T21:36:24.6229989Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2024-08-20T21:36:24.6236618Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:36:24.6237101Z env: 2024-08-20T21:36:24.6237360Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:36:24.6238355Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:36:24.6239375Z ##[endgroup] 2024-08-20T21:36:24.6266073Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-focal-py3.12-clang10-f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:36:24.6320642Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2024-08-20T21:36:24.6321228Z with: 2024-08-20T21:36:24.6322118Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:36:24.6323280Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:36:24.6323787Z env: 2024-08-20T21:36:24.6324026Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:36:24.6324350Z ##[endgroup] 2024-08-20T21:36:24.6364785Z ##[group]Run set -x 2024-08-20T21:36:24.6365111Z set -x 2024-08-20T21:36:24.6365374Z set +e 2024-08-20T21:36:24.6365643Z  2024-08-20T21:36:24.6365900Z login() { 2024-08-20T21:36:24.6366544Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2024-08-20T21:36:24.6367269Z } 2024-08-20T21:36:24.6367521Z  2024-08-20T21:36:24.6367809Z retry () { 2024-08-20T21:36:24.6368174Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2024-08-20T21:36:24.6368601Z } 2024-08-20T21:36:24.6368852Z  2024-08-20T21:36:24.6369150Z retry login "${DOCKER_REGISTRY}" 2024-08-20T21:36:24.6369543Z  2024-08-20T21:36:24.6369790Z set -e 2024-08-20T21:36:24.6370247Z # ignore output since only exit code is used for conditional 2024-08-20T21:36:24.6370943Z # only pull docker image if it's not available locally 2024-08-20T21:36:24.6371712Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2024-08-20T21:36:24.6372407Z  retry docker pull "${DOCKER_IMAGE}" 2024-08-20T21:36:24.6372819Z fi 2024-08-20T21:36:24.6378459Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:36:24.6378950Z env: 2024-08-20T21:36:24.6379204Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:36:24.6380280Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:36:24.6381561Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:36:24.6382076Z ##[endgroup] 2024-08-20T21:36:24.6405363Z + set +e 2024-08-20T21:36:24.6406158Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:36:24.6406824Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:36:24.6409344Z + aws ecr get-login-password --region us-east-1 2024-08-20T21:36:24.6410278Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-08-20T21:36:25.2147533Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2024-08-20T21:36:25.2148701Z Configure a credential helper to remove this warning. See 2024-08-20T21:36:25.2149603Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2024-08-20T21:36:25.2150158Z 2024-08-20T21:36:25.2150268Z Login Succeeded 2024-08-20T21:36:25.2161751Z + set -e 2024-08-20T21:36:25.2162913Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:36:25.2292999Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:36:25.2294848Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:36:25.4930662Z f6d216893d65c7b8ae43df4daaf247db808378e9: Pulling from pytorch/pytorch-linux-focal-py3.12-clang10 2024-08-20T21:36:25.4945821Z 560c024910be: Pulling fs layer 2024-08-20T21:36:25.4946493Z 9973d24424a5: Pulling fs layer 2024-08-20T21:36:25.4947142Z 31cf2448eae3: Pulling fs layer 2024-08-20T21:36:25.4947828Z 2cbc8585686f: Pulling fs layer 2024-08-20T21:36:25.4948493Z 8c4852dbedba: Pulling fs layer 2024-08-20T21:36:25.4949506Z dc477a9bbcc6: Pulling fs layer 2024-08-20T21:36:25.4950166Z 8c153b899f1d: Pulling fs layer 2024-08-20T21:36:25.4950835Z 0b1c4336fa8b: Pulling fs layer 2024-08-20T21:36:25.4951345Z b012c0f517e6: Pulling fs layer 2024-08-20T21:36:25.4951711Z 4fe699dadca1: Pulling fs layer 2024-08-20T21:36:25.4952063Z d67ce3a9cb4b: Pulling fs layer 2024-08-20T21:36:25.4952421Z 9841596ece9e: Pulling fs layer 2024-08-20T21:36:25.4952767Z 2cbc8585686f: Waiting 2024-08-20T21:36:25.4953064Z e72835db4035: Pulling fs layer 2024-08-20T21:36:25.4953597Z 8c4852dbedba: Waiting 2024-08-20T21:36:25.4954101Z 4f4fb700ef54: Pulling fs layer 2024-08-20T21:36:25.4954677Z 8ef04e16f963: Pulling fs layer 2024-08-20T21:36:25.4955264Z dc477a9bbcc6: Waiting 2024-08-20T21:36:25.4955733Z 8c153b899f1d: Waiting 2024-08-20T21:36:25.4956262Z 5e6c0035b872: Pulling fs layer 2024-08-20T21:36:25.4956882Z d67ce3a9cb4b: Waiting 2024-08-20T21:36:25.4957395Z e72835db4035: Waiting 2024-08-20T21:36:25.4957869Z 0b1c4336fa8b: Waiting 2024-08-20T21:36:25.4958325Z 59b7b891e32d: Pulling fs layer 2024-08-20T21:36:25.4958867Z 9841596ece9e: Waiting 2024-08-20T21:36:25.4959378Z 5f4e7925ebfb: Pulling fs layer 2024-08-20T21:36:25.4959894Z b012c0f517e6: Waiting 2024-08-20T21:36:25.4960289Z 4f4fb700ef54: Waiting 2024-08-20T21:36:25.4960744Z 4fe699dadca1: Waiting 2024-08-20T21:36:25.4961241Z 8ef04e16f963: Waiting 2024-08-20T21:36:25.4961773Z 12a450969960: Pulling fs layer 2024-08-20T21:36:25.4962218Z 5e6c0035b872: Waiting 2024-08-20T21:36:25.4962527Z b8c108e0e581: Pulling fs layer 2024-08-20T21:36:25.4962871Z 5f4e7925ebfb: Waiting 2024-08-20T21:36:25.4963153Z 59b7b891e32d: Waiting 2024-08-20T21:36:25.4963461Z d3e5b0194b60: Pulling fs layer 2024-08-20T21:36:25.4963796Z 12a450969960: Waiting 2024-08-20T21:36:25.4964127Z 3e4dba8f4feb: Pulling fs layer 2024-08-20T21:36:25.4964489Z 4dd8f5b900be: Pulling fs layer 2024-08-20T21:36:25.4964836Z d3e5b0194b60: Waiting 2024-08-20T21:36:25.4965133Z f0966db14aac: Pulling fs layer 2024-08-20T21:36:25.4965476Z b8c108e0e581: Waiting 2024-08-20T21:36:25.4965777Z 3e4dba8f4feb: Waiting 2024-08-20T21:36:25.4966078Z 3ca232406eff: Pulling fs layer 2024-08-20T21:36:25.4966608Z 4dd8f5b900be: Waiting 2024-08-20T21:36:25.4966904Z f0966db14aac: Waiting 2024-08-20T21:36:25.4967199Z 93684c5d1426: Pulling fs layer 2024-08-20T21:36:25.4967543Z 3ca232406eff: Waiting 2024-08-20T21:36:25.4967852Z 891f1a671536: Pulling fs layer 2024-08-20T21:36:25.4968194Z 2d1cde488756: Pulling fs layer 2024-08-20T21:36:25.4968587Z 1b670936c6e7: Pulling fs layer 2024-08-20T21:36:25.4968969Z c89135369bac: Pulling fs layer 2024-08-20T21:36:25.4969310Z e32451be40c1: Pulling fs layer 2024-08-20T21:36:25.4969700Z 7647e82c5c3f: Pulling fs layer 2024-08-20T21:36:25.4970053Z 2d334a3c11fd: Pulling fs layer 2024-08-20T21:36:25.4970380Z 93684c5d1426: Waiting 2024-08-20T21:36:25.4970705Z e9ea16c3c5d4: Pulling fs layer 2024-08-20T21:36:25.4971057Z 891f1a671536: Waiting 2024-08-20T21:36:25.4971340Z 2d1cde488756: Waiting 2024-08-20T21:36:25.4971634Z 1b670936c6e7: Waiting 2024-08-20T21:36:25.4971996Z 66a5808f4ad5: Pulling fs layer 2024-08-20T21:36:25.4972322Z e32451be40c1: Waiting 2024-08-20T21:36:25.4972641Z b92de615fef3: Pulling fs layer 2024-08-20T21:36:25.4972987Z e9ea16c3c5d4: Waiting 2024-08-20T21:36:25.4973286Z 56dd63029e04: Pulling fs layer 2024-08-20T21:36:25.4973638Z 0e19dd6ac611: Pulling fs layer 2024-08-20T21:36:25.4973975Z 66a5808f4ad5: Waiting 2024-08-20T21:36:25.4974437Z 7647e82c5c3f: Waiting 2024-08-20T21:36:25.4974765Z b92de615fef3: Waiting 2024-08-20T21:36:25.4975148Z c89135369bac: Waiting 2024-08-20T21:36:25.4975457Z deffd0debe5e: Pulling fs layer 2024-08-20T21:36:25.4975805Z 56dd63029e04: Waiting 2024-08-20T21:36:25.4976132Z 0e19dd6ac611: Waiting 2024-08-20T21:36:25.4976430Z 823a4c61790a: Pulling fs layer 2024-08-20T21:36:25.4976792Z 52c09d8bb114: Pulling fs layer 2024-08-20T21:36:25.4977131Z 823a4c61790a: Waiting 2024-08-20T21:36:25.4977427Z fc113046ff5b: Pulling fs layer 2024-08-20T21:36:25.4977883Z 58fcfcf8962b: Pulling fs layer 2024-08-20T21:36:25.4978445Z a6bbbb7aff78: Pulling fs layer 2024-08-20T21:36:25.4978784Z fc113046ff5b: Waiting 2024-08-20T21:36:25.4979094Z 58c762741f83: Pulling fs layer 2024-08-20T21:36:25.4979459Z 36d6dbd6c3c6: Pulling fs layer 2024-08-20T21:36:25.4979861Z 58c762741f83: Waiting 2024-08-20T21:36:25.4980176Z f6e31afd70a7: Pulling fs layer 2024-08-20T21:36:25.4980521Z 52c09d8bb114: Waiting 2024-08-20T21:36:25.4980811Z a6bbbb7aff78: Waiting 2024-08-20T21:36:25.4981125Z 4076a363f04c: Pulling fs layer 2024-08-20T21:36:25.4981492Z da1b55b13c80: Pulling fs layer 2024-08-20T21:36:25.4981829Z 36d6dbd6c3c6: Waiting 2024-08-20T21:36:25.4982144Z 852b7bd929d0: Pulling fs layer 2024-08-20T21:36:25.4982489Z 2d334a3c11fd: Waiting 2024-08-20T21:36:25.4982892Z 4076a363f04c: Waiting 2024-08-20T21:36:25.4983209Z 43c374b7d87c: Pulling fs layer 2024-08-20T21:36:25.4983555Z da1b55b13c80: Waiting 2024-08-20T21:36:25.4983855Z 2ae4d1692345: Pulling fs layer 2024-08-20T21:36:25.4984263Z 852b7bd929d0: Waiting 2024-08-20T21:36:25.4984559Z 43c374b7d87c: Waiting 2024-08-20T21:36:25.4984924Z 02fd8160fb61: Pulling fs layer 2024-08-20T21:36:25.4985285Z 1860f83d1894: Pulling fs layer 2024-08-20T21:36:25.4985652Z 1beebf68aabb: Pulling fs layer 2024-08-20T21:36:25.4986009Z e0cbebc1b4e2: Pulling fs layer 2024-08-20T21:36:25.4986374Z 3e8f996f54cd: Pulling fs layer 2024-08-20T21:36:25.4986734Z 689d9bf507d0: Pulling fs layer 2024-08-20T21:36:25.4987066Z 1beebf68aabb: Waiting 2024-08-20T21:36:25.4987388Z ca5838b6767d: Pulling fs layer 2024-08-20T21:36:25.4987733Z e0cbebc1b4e2: Waiting 2024-08-20T21:36:25.4988037Z 2ab493b780e6: Pulling fs layer 2024-08-20T21:36:25.4988378Z 3e8f996f54cd: Waiting 2024-08-20T21:36:25.4988676Z 02fd8160fb61: Waiting 2024-08-20T21:36:25.4988973Z aa49767ed126: Pulling fs layer 2024-08-20T21:36:25.4989318Z ca5838b6767d: Waiting 2024-08-20T21:36:25.4989606Z 1860f83d1894: Waiting 2024-08-20T21:36:25.4989900Z 9c112f6fb43a: Pulling fs layer 2024-08-20T21:36:25.4990238Z aa49767ed126: Waiting 2024-08-20T21:36:25.4990543Z 056972111ac5: Pulling fs layer 2024-08-20T21:36:25.4990873Z 9c112f6fb43a: Waiting 2024-08-20T21:36:25.4991180Z 37490d77553a: Pulling fs layer 2024-08-20T21:36:25.4991634Z 55ffcd4cda01: Pulling fs layer 2024-08-20T21:36:25.4991976Z 4085287a7508: Pulling fs layer 2024-08-20T21:36:25.4992336Z 45f64d78b248: Pulling fs layer 2024-08-20T21:36:25.4992672Z 37490d77553a: Waiting 2024-08-20T21:36:25.4992954Z 55ffcd4cda01: Waiting 2024-08-20T21:36:25.4993270Z c6ce826bc67b: Pulling fs layer 2024-08-20T21:36:25.4993610Z 4085287a7508: Waiting 2024-08-20T21:36:25.4993904Z 0c6508f0dedc: Pulling fs layer 2024-08-20T21:36:25.4994252Z c6ce826bc67b: Waiting 2024-08-20T21:36:25.4994567Z af18f4fae28b: Pulling fs layer 2024-08-20T21:36:25.4994898Z 0c6508f0dedc: Waiting 2024-08-20T21:36:25.4995211Z e415411fbadd: Pulling fs layer 2024-08-20T21:36:25.4995550Z 689d9bf507d0: Waiting 2024-08-20T21:36:25.4995835Z af18f4fae28b: Waiting 2024-08-20T21:36:25.4996146Z 8801c8ab2ed3: Pulling fs layer 2024-08-20T21:36:25.4996502Z 33d589b88675: Pulling fs layer 2024-08-20T21:36:25.4996831Z 056972111ac5: Waiting 2024-08-20T21:36:25.4997135Z 005437c75141: Pulling fs layer 2024-08-20T21:36:25.4997480Z 3ec2dad3f441: Pulling fs layer 2024-08-20T21:36:25.4997825Z 3ec2dad3f441: Waiting 2024-08-20T21:36:25.4998116Z 005437c75141: Waiting 2024-08-20T21:36:25.4998394Z 45f64d78b248: Waiting 2024-08-20T21:36:25.5746038Z 9973d24424a5: Verifying Checksum 2024-08-20T21:36:25.5746794Z 9973d24424a5: Download complete 2024-08-20T21:36:25.6496928Z 2cbc8585686f: Download complete 2024-08-20T21:36:25.9238509Z 560c024910be: Verifying Checksum 2024-08-20T21:36:25.9239222Z 560c024910be: Download complete 2024-08-20T21:36:26.0046462Z dc477a9bbcc6: Verifying Checksum 2024-08-20T21:36:26.0047131Z dc477a9bbcc6: Download complete 2024-08-20T21:36:26.0703658Z 8c153b899f1d: Verifying Checksum 2024-08-20T21:36:26.0704216Z 8c153b899f1d: Download complete 2024-08-20T21:36:26.1486841Z 0b1c4336fa8b: Verifying Checksum 2024-08-20T21:36:26.1487517Z 0b1c4336fa8b: Download complete 2024-08-20T21:36:26.2228691Z b012c0f517e6: Verifying Checksum 2024-08-20T21:36:26.2229760Z b012c0f517e6: Download complete 2024-08-20T21:36:26.3167224Z 4fe699dadca1: Verifying Checksum 2024-08-20T21:36:26.3168042Z 4fe699dadca1: Download complete 2024-08-20T21:36:26.3941691Z d67ce3a9cb4b: Verifying Checksum 2024-08-20T21:36:26.3942462Z d67ce3a9cb4b: Download complete 2024-08-20T21:36:26.4675577Z 9841596ece9e: Verifying Checksum 2024-08-20T21:36:26.4676205Z 9841596ece9e: Download complete 2024-08-20T21:36:26.4979263Z 8c4852dbedba: Verifying Checksum 2024-08-20T21:36:26.4979991Z 8c4852dbedba: Download complete 2024-08-20T21:36:26.5077114Z 4f4fb700ef54: Verifying Checksum 2024-08-20T21:36:26.5077636Z 4f4fb700ef54: Download complete 2024-08-20T21:36:26.5731441Z 8ef04e16f963: Verifying Checksum 2024-08-20T21:36:26.5732154Z 8ef04e16f963: Download complete 2024-08-20T21:36:26.6432742Z 5e6c0035b872: Verifying Checksum 2024-08-20T21:36:26.6433350Z 5e6c0035b872: Download complete 2024-08-20T21:36:26.7403760Z 59b7b891e32d: Download complete 2024-08-20T21:36:26.8234001Z 560c024910be: Pull complete 2024-08-20T21:36:26.8338722Z 5f4e7925ebfb: Verifying Checksum 2024-08-20T21:36:26.8339255Z 5f4e7925ebfb: Download complete 2024-08-20T21:36:26.8479801Z 9973d24424a5: Pull complete 2024-08-20T21:36:26.9064559Z 12a450969960: Verifying Checksum 2024-08-20T21:36:26.9065037Z 12a450969960: Download complete 2024-08-20T21:36:26.9928752Z b8c108e0e581: Verifying Checksum 2024-08-20T21:36:26.9929461Z b8c108e0e581: Download complete 2024-08-20T21:36:27.0751772Z d3e5b0194b60: Verifying Checksum 2024-08-20T21:36:27.0752256Z d3e5b0194b60: Download complete 2024-08-20T21:36:27.1412778Z 3e4dba8f4feb: Download complete 2024-08-20T21:36:27.2073571Z 4dd8f5b900be: Download complete 2024-08-20T21:36:28.4761000Z f0966db14aac: Verifying Checksum 2024-08-20T21:36:28.4761707Z f0966db14aac: Download complete 2024-08-20T21:36:28.5392921Z 3ca232406eff: Download complete 2024-08-20T21:36:28.6038017Z 93684c5d1426: Verifying Checksum 2024-08-20T21:36:28.6038564Z 93684c5d1426: Download complete 2024-08-20T21:36:28.6735313Z 31cf2448eae3: Download complete 2024-08-20T21:36:28.6762850Z 891f1a671536: Verifying Checksum 2024-08-20T21:36:28.6763535Z 891f1a671536: Download complete 2024-08-20T21:36:28.7551453Z 1b670936c6e7: Verifying Checksum 2024-08-20T21:36:28.7552129Z 1b670936c6e7: Download complete 2024-08-20T21:36:28.7761412Z 2d1cde488756: Verifying Checksum 2024-08-20T21:36:28.7761885Z 2d1cde488756: Download complete 2024-08-20T21:36:28.8417665Z e32451be40c1: Download complete 2024-08-20T21:36:28.9107087Z 7647e82c5c3f: Verifying Checksum 2024-08-20T21:36:28.9107744Z 7647e82c5c3f: Download complete 2024-08-20T21:36:28.9889517Z 2d334a3c11fd: Verifying Checksum 2024-08-20T21:36:28.9890363Z 2d334a3c11fd: Download complete 2024-08-20T21:36:29.0599324Z e9ea16c3c5d4: Download complete 2024-08-20T21:36:29.1320058Z 66a5808f4ad5: Verifying Checksum 2024-08-20T21:36:29.1320862Z 66a5808f4ad5: Download complete 2024-08-20T21:36:29.2013379Z b92de615fef3: Verifying Checksum 2024-08-20T21:36:29.2754949Z 56dd63029e04: Download complete 2024-08-20T21:36:29.3452752Z 0e19dd6ac611: Download complete 2024-08-20T21:36:29.4214868Z deffd0debe5e: Verifying Checksum 2024-08-20T21:36:29.4215730Z deffd0debe5e: Download complete 2024-08-20T21:36:29.4987317Z 823a4c61790a: Verifying Checksum 2024-08-20T21:36:29.4988383Z 823a4c61790a: Download complete 2024-08-20T21:36:29.5587274Z 52c09d8bb114: Verifying Checksum 2024-08-20T21:36:29.5587922Z 52c09d8bb114: Download complete 2024-08-20T21:36:29.6388260Z fc113046ff5b: Verifying Checksum 2024-08-20T21:36:29.6388921Z fc113046ff5b: Download complete 2024-08-20T21:36:30.1240729Z 58fcfcf8962b: Verifying Checksum 2024-08-20T21:36:30.1241480Z 58fcfcf8962b: Download complete 2024-08-20T21:36:30.2085437Z a6bbbb7aff78: Verifying Checksum 2024-08-20T21:36:30.2086239Z a6bbbb7aff78: Download complete 2024-08-20T21:36:30.2876799Z 58c762741f83: Verifying Checksum 2024-08-20T21:36:30.2877428Z 58c762741f83: Download complete 2024-08-20T21:36:30.3534166Z 36d6dbd6c3c6: Verifying Checksum 2024-08-20T21:36:30.3534743Z 36d6dbd6c3c6: Download complete 2024-08-20T21:36:30.4331768Z f6e31afd70a7: Verifying Checksum 2024-08-20T21:36:30.4332395Z f6e31afd70a7: Download complete 2024-08-20T21:36:30.6926520Z 4076a363f04c: Verifying Checksum 2024-08-20T21:36:30.6927285Z 4076a363f04c: Download complete 2024-08-20T21:36:30.7665124Z da1b55b13c80: Verifying Checksum 2024-08-20T21:36:30.7665722Z da1b55b13c80: Download complete 2024-08-20T21:36:30.8371206Z 852b7bd929d0: Download complete 2024-08-20T21:36:30.9373856Z 43c374b7d87c: Verifying Checksum 2024-08-20T21:36:30.9374412Z 43c374b7d87c: Download complete 2024-08-20T21:36:31.0260924Z 2ae4d1692345: Verifying Checksum 2024-08-20T21:36:31.0261806Z 2ae4d1692345: Download complete 2024-08-20T21:36:31.0943821Z 02fd8160fb61: Verifying Checksum 2024-08-20T21:36:31.0944515Z 02fd8160fb61: Download complete 2024-08-20T21:36:31.1615205Z 1860f83d1894: Verifying Checksum 2024-08-20T21:36:31.1615977Z 1860f83d1894: Download complete 2024-08-20T21:36:31.2229438Z 1beebf68aabb: Verifying Checksum 2024-08-20T21:36:31.2230034Z 1beebf68aabb: Download complete 2024-08-20T21:36:31.3016526Z e0cbebc1b4e2: Verifying Checksum 2024-08-20T21:36:31.3017458Z e0cbebc1b4e2: Download complete 2024-08-20T21:36:31.3793236Z 3e8f996f54cd: Download complete 2024-08-20T21:36:31.4486415Z 689d9bf507d0: Verifying Checksum 2024-08-20T21:36:31.4487020Z 689d9bf507d0: Download complete 2024-08-20T21:36:31.5182193Z ca5838b6767d: Download complete 2024-08-20T21:36:31.5901528Z 2ab493b780e6: Verifying Checksum 2024-08-20T21:36:31.5902281Z 2ab493b780e6: Download complete 2024-08-20T21:36:31.6468331Z aa49767ed126: Download complete 2024-08-20T21:36:31.7247188Z 9c112f6fb43a: Verifying Checksum 2024-08-20T21:36:31.7247935Z 9c112f6fb43a: Download complete 2024-08-20T21:36:31.7853447Z 056972111ac5: Verifying Checksum 2024-08-20T21:36:31.7854188Z 056972111ac5: Download complete 2024-08-20T21:36:31.8645544Z 37490d77553a: Verifying Checksum 2024-08-20T21:36:31.8646291Z 37490d77553a: Download complete 2024-08-20T21:36:31.9322522Z 55ffcd4cda01: Verifying Checksum 2024-08-20T21:36:31.9323299Z 55ffcd4cda01: Download complete 2024-08-20T21:36:32.0062509Z 4085287a7508: Verifying Checksum 2024-08-20T21:36:32.0063557Z 4085287a7508: Download complete 2024-08-20T21:36:32.0747950Z 45f64d78b248: Download complete 2024-08-20T21:36:32.2058607Z c6ce826bc67b: Verifying Checksum 2024-08-20T21:36:32.2059087Z c6ce826bc67b: Download complete 2024-08-20T21:36:32.2829538Z 0c6508f0dedc: Verifying Checksum 2024-08-20T21:36:32.2830329Z 0c6508f0dedc: Download complete 2024-08-20T21:36:32.3660373Z af18f4fae28b: Verifying Checksum 2024-08-20T21:36:32.3661113Z af18f4fae28b: Download complete 2024-08-20T21:36:32.5612602Z e415411fbadd: Verifying Checksum 2024-08-20T21:36:32.5613635Z e415411fbadd: Download complete 2024-08-20T21:36:32.6341166Z 8801c8ab2ed3: Download complete 2024-08-20T21:36:32.6998913Z 33d589b88675: Download complete 2024-08-20T21:36:32.7635184Z 005437c75141: Verifying Checksum 2024-08-20T21:36:32.7635977Z 005437c75141: Download complete 2024-08-20T21:36:33.3816983Z 3ec2dad3f441: Verifying Checksum 2024-08-20T21:36:33.3817505Z 3ec2dad3f441: Download complete 2024-08-20T21:36:34.7505173Z c89135369bac: Verifying Checksum 2024-08-20T21:36:34.7505666Z c89135369bac: Download complete 2024-08-20T21:36:37.0865545Z 31cf2448eae3: Pull complete 2024-08-20T21:36:37.1878772Z 2cbc8585686f: Pull complete 2024-08-20T21:36:38.7678622Z 8c4852dbedba: Pull complete 2024-08-20T21:36:38.8787705Z dc477a9bbcc6: Pull complete 2024-08-20T21:36:38.9824244Z 8c153b899f1d: Pull complete 2024-08-20T21:36:39.1004481Z 0b1c4336fa8b: Pull complete 2024-08-20T21:36:39.1764853Z b012c0f517e6: Pull complete 2024-08-20T21:36:39.2440365Z 4fe699dadca1: Pull complete 2024-08-20T21:36:39.3751254Z d67ce3a9cb4b: Pull complete 2024-08-20T21:36:39.4585392Z 9841596ece9e: Pull complete 2024-08-20T21:36:52.6072602Z e72835db4035: Verifying Checksum 2024-08-20T21:36:52.6073140Z e72835db4035: Download complete 2024-08-20T21:37:35.4493481Z e72835db4035: Pull complete 2024-08-20T21:37:35.4700419Z 4f4fb700ef54: Pull complete 2024-08-20T21:37:35.4905638Z 8ef04e16f963: Pull complete 2024-08-20T21:37:35.5105530Z 5e6c0035b872: Pull complete 2024-08-20T21:37:35.5306225Z 59b7b891e32d: Pull complete 2024-08-20T21:37:35.5863489Z 5f4e7925ebfb: Pull complete 2024-08-20T21:37:35.6038562Z 12a450969960: Pull complete 2024-08-20T21:37:35.6223510Z b8c108e0e581: Pull complete 2024-08-20T21:37:35.6398360Z d3e5b0194b60: Pull complete 2024-08-20T21:37:35.6788662Z 3e4dba8f4feb: Pull complete 2024-08-20T21:37:35.6976417Z 4dd8f5b900be: Pull complete 2024-08-20T21:37:38.5280783Z f0966db14aac: Pull complete 2024-08-20T21:37:38.6505968Z 3ca232406eff: Pull complete 2024-08-20T21:37:38.7990747Z 93684c5d1426: Pull complete 2024-08-20T21:37:38.9167493Z 891f1a671536: Pull complete 2024-08-20T21:37:39.0535361Z 2d1cde488756: Pull complete 2024-08-20T21:37:39.2335721Z 1b670936c6e7: Pull complete 2024-08-20T21:37:46.9007966Z c89135369bac: Pull complete 2024-08-20T21:37:46.9809261Z e32451be40c1: Pull complete 2024-08-20T21:37:47.2038666Z 7647e82c5c3f: Pull complete 2024-08-20T21:37:47.4073361Z 2d334a3c11fd: Pull complete 2024-08-20T21:37:47.5895696Z e9ea16c3c5d4: Pull complete 2024-08-20T21:37:48.0478576Z 66a5808f4ad5: Pull complete 2024-08-20T21:37:48.2196750Z b92de615fef3: Pull complete 2024-08-20T21:37:48.4306798Z 56dd63029e04: Pull complete 2024-08-20T21:37:48.5234239Z 0e19dd6ac611: Pull complete 2024-08-20T21:37:48.8603357Z deffd0debe5e: Pull complete 2024-08-20T21:37:49.0149100Z 823a4c61790a: Pull complete 2024-08-20T21:37:49.4047921Z 52c09d8bb114: Pull complete 2024-08-20T21:37:49.5866453Z fc113046ff5b: Pull complete 2024-08-20T21:37:51.4523506Z 58fcfcf8962b: Pull complete 2024-08-20T21:37:51.6469916Z a6bbbb7aff78: Pull complete 2024-08-20T21:37:51.8450202Z 58c762741f83: Pull complete 2024-08-20T21:37:52.0881812Z 36d6dbd6c3c6: Pull complete 2024-08-20T21:37:52.2988705Z f6e31afd70a7: Pull complete 2024-08-20T21:37:52.6958815Z 4076a363f04c: Pull complete 2024-08-20T21:37:52.8359806Z da1b55b13c80: Pull complete 2024-08-20T21:37:52.9265307Z 852b7bd929d0: Pull complete 2024-08-20T21:37:53.3416316Z 43c374b7d87c: Pull complete 2024-08-20T21:37:53.5459026Z 2ae4d1692345: Pull complete 2024-08-20T21:37:53.9963954Z 02fd8160fb61: Pull complete 2024-08-20T21:37:54.1554005Z 1860f83d1894: Pull complete 2024-08-20T21:37:54.1894571Z 1beebf68aabb: Pull complete 2024-08-20T21:37:54.2265105Z e0cbebc1b4e2: Pull complete 2024-08-20T21:37:54.2440169Z 3e8f996f54cd: Pull complete 2024-08-20T21:37:54.2795591Z 689d9bf507d0: Pull complete 2024-08-20T21:37:54.3151365Z ca5838b6767d: Pull complete 2024-08-20T21:37:54.3331670Z 2ab493b780e6: Pull complete 2024-08-20T21:37:54.3689533Z aa49767ed126: Pull complete 2024-08-20T21:37:54.4045405Z 9c112f6fb43a: Pull complete 2024-08-20T21:37:54.4238008Z 056972111ac5: Pull complete 2024-08-20T21:37:54.4618406Z 37490d77553a: Pull complete 2024-08-20T21:37:54.4814052Z 55ffcd4cda01: Pull complete 2024-08-20T21:37:54.5172721Z 4085287a7508: Pull complete 2024-08-20T21:37:54.5356811Z 45f64d78b248: Pull complete 2024-08-20T21:37:54.6805005Z c6ce826bc67b: Pull complete 2024-08-20T21:37:54.6969885Z 0c6508f0dedc: Pull complete 2024-08-20T21:37:54.7129504Z af18f4fae28b: Pull complete 2024-08-20T21:37:54.7309023Z e415411fbadd: Pull complete 2024-08-20T21:37:54.7495723Z 8801c8ab2ed3: Pull complete 2024-08-20T21:37:54.7667495Z 33d589b88675: Pull complete 2024-08-20T21:37:54.8025928Z 005437c75141: Pull complete 2024-08-20T21:37:56.3073042Z 3ec2dad3f441: Pull complete 2024-08-20T21:37:56.3415803Z Digest: sha256:53bea9665c81f7bdf502e7eb907e80d01ec46372a842842380b5284cbc52773e 2024-08-20T21:37:56.3454180Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:37:56.3483867Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:37:56.3536196Z ##[group]Run echo "IN_ARC_RUNNER=$([ -f /.inarc ] && echo true || echo false)" >> "$GITHUB_OUTPUT" 2024-08-20T21:37:56.3537143Z echo "IN_ARC_RUNNER=$([ -f /.inarc ] && echo true || echo false)" >> "$GITHUB_OUTPUT" 2024-08-20T21:37:56.3544894Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:37:56.3545411Z env: 2024-08-20T21:37:56.3545675Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:37:56.3545994Z ##[endgroup] 2024-08-20T21:37:56.3621730Z ##[group]Run python3 -m pip install psutil==5.9.1 nvidia-ml-py==11.525.84 2024-08-20T21:37:56.3622514Z python3 -m pip install psutil==5.9.1 nvidia-ml-py==11.525.84 2024-08-20T21:37:56.3623207Z python3 -m tools.stats.monitor > usage_log.txt 2>&1 & 2024-08-20T21:37:56.3623852Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2024-08-20T21:37:56.3630495Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:37:56.3630991Z env: 2024-08-20T21:37:56.3631240Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:37:56.3631577Z ##[endgroup] 2024-08-20T21:37:56.6344588Z Defaulting to user installation because normal site-packages is not writeable 2024-08-20T21:37:56.6520736Z Requirement already satisfied: psutil==5.9.1 in /home/ec2-user/.local/lib/python3.9/site-packages (5.9.1) 2024-08-20T21:37:56.6526142Z Requirement already satisfied: nvidia-ml-py==11.525.84 in /home/ec2-user/.local/lib/python3.9/site-packages (11.525.84) 2024-08-20T21:37:56.7985525Z Prepare all required actions 2024-08-20T21:37:56.7986077Z Getting action download info 2024-08-20T21:37:56.9068219Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2024-08-20T21:37:57.1189268Z Download action repository 'actions/download-artifact@v3' (SHA:9bc31d5ccc31df68ecc42ccf4149144866c47d8a) 2024-08-20T21:37:57.2586748Z ##[group]Run ./.github/actions/download-build-artifacts 2024-08-20T21:37:57.2587229Z with: 2024-08-20T21:37:57.2587625Z name: linux-focal-py3.12-clang10-experimental-split-build 2024-08-20T21:37:57.2588176Z s3-bucket: gha-artifacts 2024-08-20T21:37:57.2588493Z env: 2024-08-20T21:37:57.2588737Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:37:57.2589058Z ##[endgroup] 2024-08-20T21:37:57.2625099Z ##[group]Run seemethere/download-artifact-s3@v4 2024-08-20T21:37:57.2625936Z with: 2024-08-20T21:37:57.2626403Z name: linux-focal-py3.12-clang10-experimental-split-build 2024-08-20T21:37:57.2627050Z s3-bucket: gha-artifacts 2024-08-20T21:37:57.2627394Z region: us-east-1 2024-08-20T21:37:57.2627680Z env: 2024-08-20T21:37:57.2627926Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:37:57.2628257Z ##[endgroup] 2024-08-20T21:37:57.7512238Z (node:1936418) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2024-08-20T21:37:57.7513093Z 2024-08-20T21:37:57.7513360Z Please migrate your code to use AWS SDK for JavaScript (v3). 2024-08-20T21:37:57.7514082Z For more information, check the migration guide at https://a.co/7PzMCcy 2024-08-20T21:37:57.7514981Z (Use `node --trace-warnings ...` to show where the warning was created) 2024-08-20T21:37:57.8223013Z Found 1 objects with prefix pytorch/pytorch/10479309237/linux-focal-py3.12-clang10-experimental-split-build/ 2024-08-20T21:37:57.8224301Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2024-08-20T21:38:11.2711906Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2024-08-20T21:38:11.2718375Z Artifact download has finished successfully 2024-08-20T21:38:11.2876891Z ##[group]Run unzip -o artifacts.zip 2024-08-20T21:38:11.2877364Z unzip -o artifacts.zip 2024-08-20T21:38:11.2883613Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:38:11.2884102Z env: 2024-08-20T21:38:11.2884347Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:38:11.2884674Z ##[endgroup] 2024-08-20T21:38:11.2929907Z Archive: artifacts.zip 2024-08-20T21:38:11.2950906Z creating: dist/ 2024-08-20T21:38:12.1279956Z inflating: dist/torch_no_python-2.5.0a0+git40ec5f6-py3-none-any.whl 2024-08-20T21:38:12.5218234Z inflating: dist/torch-2.5.0a0+git40ec5f6-cp312-cp312-linux_x86_64.whl 2024-08-20T21:38:12.5218960Z creating: build/custom_test_artifacts/ 2024-08-20T21:38:12.5219594Z creating: build/custom_test_artifacts/custom-op-build/ 2024-08-20T21:38:12.5220524Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2024-08-20T21:38:12.5221659Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeOutput.log 2024-08-20T21:38:12.5222671Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/ 2024-08-20T21:38:12.5223664Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/CMakeSystem.cmake 2024-08-20T21:38:12.5224846Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/CompilerIdC/ 2024-08-20T21:38:12.5227589Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/CompilerIdC/tmp/ 2024-08-20T21:38:12.5228946Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/CompilerIdC/CMakeCCompilerId.c 2024-08-20T21:38:12.5230258Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/CompilerIdC/a.out 2024-08-20T21:38:12.5231401Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/CompilerIdCXX/ 2024-08-20T21:38:12.5232859Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/CompilerIdCXX/tmp/ 2024-08-20T21:38:12.5234280Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/CompilerIdCXX/CMakeCXXCompilerId.cpp 2024-08-20T21:38:12.5235731Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/CompilerIdCXX/a.out 2024-08-20T21:38:12.5236956Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/CMakeDetermineCompilerABI_C.bin 2024-08-20T21:38:12.5238174Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/CMakeCCompiler.cmake 2024-08-20T21:38:12.5239419Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/CMakeDetermineCompilerABI_CXX.bin 2024-08-20T21:38:12.5240742Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/CMakeCXXCompiler.cmake 2024-08-20T21:38:12.5241929Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeTmp/ 2024-08-20T21:38:12.5242886Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/cmake.check_cache 2024-08-20T21:38:12.5243853Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/ 2024-08-20T21:38:12.5258183Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/depend.make 2024-08-20T21:38:12.5259515Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/link.txt 2024-08-20T21:38:12.5260925Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/cmake_clean.cmake 2024-08-20T21:38:12.5262115Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/build.make 2024-08-20T21:38:12.5263273Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/DependInfo.cmake 2024-08-20T21:38:12.5264424Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/flags.make 2024-08-20T21:38:12.5265570Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/progress.make 2024-08-20T21:38:12.5310227Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/CXX.includecache 2024-08-20T21:38:12.5327599Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/depend.internal 2024-08-20T21:38:12.5418929Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/op.cpp.o 2024-08-20T21:38:12.5420067Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/ 2024-08-20T21:38:12.5444005Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/depend.make 2024-08-20T21:38:12.5445412Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/link.txt 2024-08-20T21:38:12.5446812Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/cmake_clean.cmake 2024-08-20T21:38:12.5448097Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/build.make 2024-08-20T21:38:12.5449308Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/DependInfo.cmake 2024-08-20T21:38:12.5450522Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/flags.make 2024-08-20T21:38:12.5451719Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/progress.make 2024-08-20T21:38:12.5496035Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/CXX.includecache 2024-08-20T21:38:12.5513302Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/depend.internal 2024-08-20T21:38:12.5559871Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o 2024-08-20T21:38:12.5561339Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeDirectoryInformation.cmake 2024-08-20T21:38:12.5562875Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/TargetDirectories.txt 2024-08-20T21:38:12.5564026Z extracting: build/custom_test_artifacts/custom-op-build/CMakeFiles/progress.marks 2024-08-20T21:38:12.5565085Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/Makefile2 2024-08-20T21:38:12.5566243Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/Makefile.cmake 2024-08-20T21:38:12.5567144Z inflating: build/custom_test_artifacts/custom-op-build/CMakeCache.txt 2024-08-20T21:38:12.5567955Z inflating: build/custom_test_artifacts/custom-op-build/Makefile 2024-08-20T21:38:12.5568795Z inflating: build/custom_test_artifacts/custom-op-build/cmake_install.cmake 2024-08-20T21:38:12.5651893Z inflating: build/custom_test_artifacts/custom-op-build/libcustom_ops.so 2024-08-20T21:38:12.5690157Z inflating: build/custom_test_artifacts/custom-op-build/test_custom_ops 2024-08-20T21:38:12.5691183Z creating: build/custom_test_artifacts/jit-hook-build/ 2024-08-20T21:38:12.5691903Z creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/ 2024-08-20T21:38:12.5692967Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/CMakeOutput.log 2024-08-20T21:38:12.5694053Z creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.18.5/ 2024-08-20T21:38:12.5695061Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.18.5/CMakeSystem.cmake 2024-08-20T21:38:12.5696178Z creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.18.5/CompilerIdC/ 2024-08-20T21:38:12.5697328Z creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.18.5/CompilerIdC/tmp/ 2024-08-20T21:38:12.5698571Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.18.5/CompilerIdC/CMakeCCompilerId.c 2024-08-20T21:38:12.5699935Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.18.5/CompilerIdC/a.out 2024-08-20T21:38:12.5701026Z creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.18.5/CompilerIdCXX/ 2024-08-20T21:38:12.5702132Z creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.18.5/CompilerIdCXX/tmp/ 2024-08-20T21:38:12.5703585Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.18.5/CompilerIdCXX/CMakeCXXCompilerId.cpp 2024-08-20T21:38:12.5704872Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.18.5/CompilerIdCXX/a.out 2024-08-20T21:38:12.5706194Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.18.5/CMakeDetermineCompilerABI_C.bin 2024-08-20T21:38:12.5707556Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.18.5/CMakeCCompiler.cmake 2024-08-20T21:38:12.5708783Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.18.5/CMakeDetermineCompilerABI_CXX.bin 2024-08-20T21:38:12.5709998Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/3.18.5/CMakeCXXCompiler.cmake 2024-08-20T21:38:12.5711007Z creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/CMakeTmp/ 2024-08-20T21:38:12.5711939Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/cmake.check_cache 2024-08-20T21:38:12.5712927Z creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/ 2024-08-20T21:38:12.5731735Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/depend.make 2024-08-20T21:38:12.5733106Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/link.txt 2024-08-20T21:38:12.5734481Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/cmake_clean.cmake 2024-08-20T21:38:12.5735706Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/build.make 2024-08-20T21:38:12.5736879Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/DependInfo.cmake 2024-08-20T21:38:12.5738066Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/flags.make 2024-08-20T21:38:12.5739398Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/progress.make 2024-08-20T21:38:12.5783888Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/CXX.includecache 2024-08-20T21:38:12.5800846Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/depend.internal 2024-08-20T21:38:12.5832197Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/test_jit_hooks.cpp.o 2024-08-20T21:38:12.5833633Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/CMakeDirectoryInformation.cmake 2024-08-20T21:38:12.5834986Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/TargetDirectories.txt 2024-08-20T21:38:12.5836068Z extracting: build/custom_test_artifacts/jit-hook-build/CMakeFiles/progress.marks 2024-08-20T21:38:12.5837303Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/Makefile2 2024-08-20T21:38:12.5838328Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/Makefile.cmake 2024-08-20T21:38:12.5839212Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeCache.txt 2024-08-20T21:38:12.5840004Z inflating: build/custom_test_artifacts/jit-hook-build/Makefile 2024-08-20T21:38:12.5840917Z inflating: build/custom_test_artifacts/jit-hook-build/cmake_install.cmake 2024-08-20T21:38:12.5863560Z inflating: build/custom_test_artifacts/jit-hook-build/test_jit_hooks 2024-08-20T21:38:12.5864381Z creating: build/custom_test_artifacts/custom-backend-build/ 2024-08-20T21:38:12.5865167Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/ 2024-08-20T21:38:12.5866318Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/CMakeOutput.log 2024-08-20T21:38:12.5867457Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.18.5/ 2024-08-20T21:38:12.5868530Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.18.5/CMakeSystem.cmake 2024-08-20T21:38:12.5869754Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.18.5/CompilerIdC/ 2024-08-20T21:38:12.5870987Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.18.5/CompilerIdC/tmp/ 2024-08-20T21:38:12.5872284Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.18.5/CompilerIdC/CMakeCCompilerId.c 2024-08-20T21:38:12.5873634Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.18.5/CompilerIdC/a.out 2024-08-20T21:38:12.5874860Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.18.5/CompilerIdCXX/ 2024-08-20T21:38:12.5876065Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.18.5/CompilerIdCXX/tmp/ 2024-08-20T21:38:12.5877483Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.18.5/CompilerIdCXX/CMakeCXXCompilerId.cpp 2024-08-20T21:38:12.5878918Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.18.5/CompilerIdCXX/a.out 2024-08-20T21:38:12.5880429Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.18.5/CMakeDetermineCompilerABI_C.bin 2024-08-20T21:38:12.5881730Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.18.5/CMakeCCompiler.cmake 2024-08-20T21:38:12.5883046Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.18.5/CMakeDetermineCompilerABI_CXX.bin 2024-08-20T21:38:12.5884364Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/3.18.5/CMakeCXXCompiler.cmake 2024-08-20T21:38:12.5885435Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/CMakeTmp/ 2024-08-20T21:38:12.5886455Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/cmake.check_cache 2024-08-20T21:38:12.5887568Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/ 2024-08-20T21:38:12.5906708Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/depend.make 2024-08-20T21:38:12.5908224Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/link.txt 2024-08-20T21:38:12.5909723Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/cmake_clean.cmake 2024-08-20T21:38:12.5911081Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/build.make 2024-08-20T21:38:12.5912428Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/DependInfo.cmake 2024-08-20T21:38:12.5913749Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/flags.make 2024-08-20T21:38:12.5915064Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/progress.make 2024-08-20T21:38:12.5958673Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/CXX.includecache 2024-08-20T21:38:12.5975697Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/depend.internal 2024-08-20T21:38:12.5998733Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/test_custom_backend.cpp.o 2024-08-20T21:38:12.6000005Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/ 2024-08-20T21:38:12.6003009Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/depend.make 2024-08-20T21:38:12.6004335Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/link.txt 2024-08-20T21:38:12.6005873Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/cmake_clean.cmake 2024-08-20T21:38:12.6007261Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/build.make 2024-08-20T21:38:12.6008546Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/DependInfo.cmake 2024-08-20T21:38:12.6009816Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/flags.make 2024-08-20T21:38:12.6011063Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/progress.make 2024-08-20T21:38:12.6012633Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/CXX.includecache 2024-08-20T21:38:12.6015872Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/depend.internal 2024-08-20T21:38:12.6097166Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/custom_backend.cpp.o 2024-08-20T21:38:12.6098720Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/CMakeDirectoryInformation.cmake 2024-08-20T21:38:12.6100283Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/TargetDirectories.txt 2024-08-20T21:38:12.6101486Z extracting: build/custom_test_artifacts/custom-backend-build/CMakeFiles/progress.marks 2024-08-20T21:38:12.6102614Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/Makefile2 2024-08-20T21:38:12.6103696Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/Makefile.cmake 2024-08-20T21:38:12.6104662Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeCache.txt 2024-08-20T21:38:12.6105540Z inflating: build/custom_test_artifacts/custom-backend-build/Makefile 2024-08-20T21:38:12.6106428Z inflating: build/custom_test_artifacts/custom-backend-build/cmake_install.cmake 2024-08-20T21:38:12.6174329Z inflating: build/custom_test_artifacts/custom-backend-build/libcustom_backend.so 2024-08-20T21:38:12.6193720Z inflating: build/custom_test_artifacts/custom-backend-build/test_custom_backend 2024-08-20T21:38:12.6194469Z creating: build/lib/ 2024-08-20T21:38:12.6194972Z inflating: build/lib/libclog.a 2024-08-20T21:38:12.6203137Z inflating: build/lib/libpthreadpool.a 2024-08-20T21:38:12.6210300Z inflating: build/lib/libcpuinfo.a 2024-08-20T21:38:12.6216785Z inflating: build/lib/libcpuinfo_internals.a 2024-08-20T21:38:12.6271887Z inflating: build/lib/libgtest.a 2024-08-20T21:38:12.6342736Z inflating: build/lib/libprotobuf-lite.a 2024-08-20T21:38:12.6349839Z inflating: build/lib/libittnotify.a 2024-08-20T21:38:12.6408967Z inflating: build/lib/libbenchmark.a 2024-08-20T21:38:12.6432886Z inflating: build/lib/libtensorpipe_uv.a 2024-08-20T21:38:12.6511018Z inflating: build/lib/libgloo.a 2024-08-20T21:38:12.6570343Z inflating: build/lib/libasmjit.a 2024-08-20T21:38:12.6939481Z inflating: build/lib/libprotobuf.a 2024-08-20T21:38:12.7017621Z inflating: build/lib/libc10.so 2024-08-20T21:38:12.7018744Z inflating: build/lib/libtorch_global_deps.so 2024-08-20T21:38:12.7035898Z inflating: build/lib/libpytorch_qnnpack.a 2024-08-20T21:38:12.7038072Z inflating: build/lib/libnnpack_reference_layers.a 2024-08-20T21:38:12.7049199Z inflating: build/lib/libgmock.a 2024-08-20T21:38:12.7050017Z inflating: build/lib/libgtest_main.a 2024-08-20T21:38:12.7460220Z inflating: build/lib/libprotoc.a 2024-08-20T21:38:12.7460782Z inflating: build/lib/libbenchmark_main.a 2024-08-20T21:38:13.9591254Z inflating: build/lib/libdnnl.a 2024-08-20T21:38:14.0041565Z inflating: build/lib/libtensorpipe.a 2024-08-20T21:38:14.0042266Z inflating: build/lib/libgmock_main.a 2024-08-20T21:38:14.0981986Z inflating: build/lib/libfbgemm.a 2024-08-20T21:38:14.1021976Z inflating: build/lib/libonnx_proto.a 2024-08-20T21:38:14.1203431Z inflating: build/lib/libXNNPACK.a 2024-08-20T21:38:14.1219614Z inflating: build/lib/libnnpack.a 2024-08-20T21:38:14.1851911Z inflating: build/lib/libonnx.a 2024-08-20T21:38:16.4014791Z inflating: build/lib/libtorch_cpu.so 2024-08-20T21:38:16.4015837Z inflating: build/lib/libtorch.so 2024-08-20T21:38:16.4020909Z inflating: build/lib/libunbox_lib.a 2024-08-20T21:38:16.4043521Z inflating: build/lib/libjitbackend_test.so 2024-08-20T21:38:16.4116321Z inflating: build/lib/libtorchbind_test.so 2024-08-20T21:38:16.4142511Z inflating: build/lib/libbackend_with_compiler.so 2024-08-20T21:38:16.4169609Z inflating: build/lib/libaoti_custom_ops.so 2024-08-20T21:38:16.4170451Z creating: build/lib/torch/ 2024-08-20T21:38:16.4171154Z inflating: build/lib/torch/_VF.py 2024-08-20T21:38:16.4171953Z inflating: build/lib/torch/__config__.py 2024-08-20T21:38:16.4172809Z inflating: build/lib/torch/__future__.py 2024-08-20T21:38:16.4180033Z inflating: build/lib/torch/__init__.py 2024-08-20T21:38:16.4182413Z inflating: build/lib/torch/_appdirs.py 2024-08-20T21:38:16.4183298Z inflating: build/lib/torch/_classes.py 2024-08-20T21:38:16.4184132Z inflating: build/lib/torch/_compile.py 2024-08-20T21:38:16.4185688Z inflating: build/lib/torch/_custom_ops.py 2024-08-20T21:38:16.4186776Z inflating: build/lib/torch/_deploy.py 2024-08-20T21:38:16.4189731Z inflating: build/lib/torch/_guards.py 2024-08-20T21:38:16.4194398Z inflating: build/lib/torch/_jit_internal.py 2024-08-20T21:38:16.4195426Z inflating: build/lib/torch/_linalg_utils.py 2024-08-20T21:38:16.4199263Z inflating: build/lib/torch/_lobpcg.py 2024-08-20T21:38:16.4200752Z inflating: build/lib/torch/_lowrank.py 2024-08-20T21:38:16.4213464Z inflating: build/lib/torch/_meta_registrations.py 2024-08-20T21:38:16.4214556Z inflating: build/lib/torch/_namedtensor_internals.py 2024-08-20T21:38:16.4218967Z inflating: build/lib/torch/_ops.py 2024-08-20T21:38:16.4220440Z inflating: build/lib/torch/_python_dispatcher.py 2024-08-20T21:38:16.4221036Z inflating: build/lib/torch/_size_docs.py 2024-08-20T21:38:16.4222069Z inflating: build/lib/torch/_sources.py 2024-08-20T21:38:16.4223060Z inflating: build/lib/torch/_storage_docs.py 2024-08-20T21:38:16.4224228Z inflating: build/lib/torch/_streambase.py 2024-08-20T21:38:16.4229181Z inflating: build/lib/torch/_tensor.py 2024-08-20T21:38:16.4238827Z inflating: build/lib/torch/_tensor_docs.py 2024-08-20T21:38:16.4242170Z inflating: build/lib/torch/_tensor_str.py 2024-08-20T21:38:16.4269561Z inflating: build/lib/torch/_torch_docs.py 2024-08-20T21:38:16.4273320Z inflating: build/lib/torch/_utils.py 2024-08-20T21:38:16.4274821Z inflating: build/lib/torch/_utils_internal.py 2024-08-20T21:38:16.4276439Z inflating: build/lib/torch/_vmap_internals.py 2024-08-20T21:38:16.4278723Z inflating: build/lib/torch/_weights_only_unpickler.py 2024-08-20T21:38:16.4285643Z inflating: build/lib/torch/functional.py 2024-08-20T21:38:16.4289011Z inflating: build/lib/torch/hub.py 2024-08-20T21:38:16.4293522Z inflating: build/lib/torch/library.py 2024-08-20T21:38:16.4300974Z inflating: build/lib/torch/overrides.py 2024-08-20T21:38:16.4302265Z inflating: build/lib/torch/quasirandom.py 2024-08-20T21:38:16.4303570Z inflating: build/lib/torch/random.py 2024-08-20T21:38:16.4304476Z inflating: build/lib/torch/return_types.py 2024-08-20T21:38:16.4309854Z inflating: build/lib/torch/serialization.py 2024-08-20T21:38:16.4313559Z inflating: build/lib/torch/storage.py 2024-08-20T21:38:16.4314284Z inflating: build/lib/torch/torch_version.py 2024-08-20T21:38:16.4315242Z inflating: build/lib/torch/types.py 2024-08-20T21:38:16.4315757Z creating: build/lib/torch/_awaits/ 2024-08-20T21:38:16.4316757Z inflating: build/lib/torch/_awaits/__init__.py 2024-08-20T21:38:16.4317673Z creating: build/lib/torch/_custom_op/ 2024-08-20T21:38:16.4318539Z extracting: build/lib/torch/_custom_op/__init__.py 2024-08-20T21:38:16.4319558Z inflating: build/lib/torch/_custom_op/autograd.py 2024-08-20T21:38:16.4320722Z inflating: build/lib/torch/_custom_op/functional.py 2024-08-20T21:38:16.4323606Z inflating: build/lib/torch/_custom_op/impl.py 2024-08-20T21:38:16.4324491Z creating: build/lib/torch/_decomp/ 2024-08-20T21:38:16.4326176Z inflating: build/lib/torch/_decomp/__init__.py 2024-08-20T21:38:16.4338553Z inflating: build/lib/torch/_decomp/decompositions.py 2024-08-20T21:38:16.4340321Z inflating: build/lib/torch/_decomp/decompositions_for_jvp.py 2024-08-20T21:38:16.4341872Z inflating: build/lib/torch/_decomp/decompositions_for_rng.py 2024-08-20T21:38:16.4342918Z creating: build/lib/torch/_dispatch/ 2024-08-20T21:38:16.4343754Z extracting: build/lib/torch/_dispatch/__init__.py 2024-08-20T21:38:16.4344754Z inflating: build/lib/torch/_dispatch/python.py 2024-08-20T21:38:16.4345599Z creating: build/lib/torch/_dynamo/ 2024-08-20T21:38:16.4346426Z inflating: build/lib/torch/_dynamo/__init__.py 2024-08-20T21:38:16.4347577Z inflating: build/lib/torch/_dynamo/_trace_wrapped_higher_order_op.py 2024-08-20T21:38:16.4348869Z inflating: build/lib/torch/_dynamo/bytecode_analysis.py 2024-08-20T21:38:16.4353153Z inflating: build/lib/torch/_dynamo/bytecode_transformation.py 2024-08-20T21:38:16.4354298Z inflating: build/lib/torch/_dynamo/cache_size.py 2024-08-20T21:38:16.4355295Z inflating: build/lib/torch/_dynamo/callback.py 2024-08-20T21:38:16.4356232Z inflating: build/lib/torch/_dynamo/code_context.py 2024-08-20T21:38:16.4358283Z inflating: build/lib/torch/_dynamo/codegen.py 2024-08-20T21:38:16.4360758Z inflating: build/lib/torch/_dynamo/compiled_autograd.py 2024-08-20T21:38:16.4362505Z inflating: build/lib/torch/_dynamo/comptime.py 2024-08-20T21:38:16.4365357Z inflating: build/lib/torch/_dynamo/config.py 2024-08-20T21:38:16.4369488Z inflating: build/lib/torch/_dynamo/convert_frame.py 2024-08-20T21:38:16.4370682Z inflating: build/lib/torch/_dynamo/create_parameter_op.py 2024-08-20T21:38:16.4371823Z inflating: build/lib/torch/_dynamo/current_scope_id.py 2024-08-20T21:38:16.4374320Z inflating: build/lib/torch/_dynamo/debug_utils.py 2024-08-20T21:38:16.4376577Z inflating: build/lib/torch/_dynamo/decorators.py 2024-08-20T21:38:16.4377899Z inflating: build/lib/torch/_dynamo/device_interface.py 2024-08-20T21:38:16.4378982Z inflating: build/lib/torch/_dynamo/distributed.py 2024-08-20T21:38:16.4384366Z inflating: build/lib/torch/_dynamo/eval_frame.py 2024-08-20T21:38:16.4386339Z inflating: build/lib/torch/_dynamo/exc.py 2024-08-20T21:38:16.4387410Z inflating: build/lib/torch/_dynamo/external_utils.py 2024-08-20T21:38:16.4388592Z inflating: build/lib/torch/_dynamo/funcname_cache.py 2024-08-20T21:38:16.4396951Z inflating: build/lib/torch/_dynamo/guards.py 2024-08-20T21:38:16.4397984Z inflating: build/lib/torch/_dynamo/hooks.py 2024-08-20T21:38:16.4398927Z inflating: build/lib/torch/_dynamo/logging.py 2024-08-20T21:38:16.4399934Z inflating: build/lib/torch/_dynamo/mutation_guard.py 2024-08-20T21:38:16.4407514Z inflating: build/lib/torch/_dynamo/output_graph.py 2024-08-20T21:38:16.4408535Z inflating: build/lib/torch/_dynamo/polyfill.py 2024-08-20T21:38:16.4409496Z inflating: build/lib/torch/_dynamo/profiler.py 2024-08-20T21:38:16.4410620Z inflating: build/lib/torch/_dynamo/replay_record.py 2024-08-20T21:38:16.4413440Z inflating: build/lib/torch/_dynamo/resume_execution.py 2024-08-20T21:38:16.4416392Z inflating: build/lib/torch/_dynamo/side_effects.py 2024-08-20T21:38:16.4418716Z inflating: build/lib/torch/_dynamo/source.py 2024-08-20T21:38:16.4429016Z inflating: build/lib/torch/_dynamo/symbolic_convert.py 2024-08-20T21:38:16.4430183Z inflating: build/lib/torch/_dynamo/tensor_version_op.py 2024-08-20T21:38:16.4431210Z inflating: build/lib/torch/_dynamo/test_case.py 2024-08-20T21:38:16.4432291Z inflating: build/lib/torch/_dynamo/test_minifier_common.py 2024-08-20T21:38:16.4433702Z inflating: build/lib/torch/_dynamo/testing.py 2024-08-20T21:38:16.4443099Z inflating: build/lib/torch/_dynamo/trace_rules.py 2024-08-20T21:38:16.4444094Z inflating: build/lib/torch/_dynamo/types.py 2024-08-20T21:38:16.4452269Z inflating: build/lib/torch/_dynamo/utils.py 2024-08-20T21:38:16.4453200Z creating: build/lib/torch/_dynamo/backends/ 2024-08-20T21:38:16.4454186Z extracting: build/lib/torch/_dynamo/backends/__init__.py 2024-08-20T21:38:16.4455316Z inflating: build/lib/torch/_dynamo/backends/common.py 2024-08-20T21:38:16.4456417Z inflating: build/lib/torch/_dynamo/backends/cudagraphs.py 2024-08-20T21:38:16.4457587Z inflating: build/lib/torch/_dynamo/backends/debugging.py 2024-08-20T21:38:16.4460565Z inflating: build/lib/torch/_dynamo/backends/distributed.py 2024-08-20T21:38:16.4461772Z inflating: build/lib/torch/_dynamo/backends/inductor.py 2024-08-20T21:38:16.4462900Z inflating: build/lib/torch/_dynamo/backends/onnxrt.py 2024-08-20T21:38:16.4463972Z inflating: build/lib/torch/_dynamo/backends/registry.py 2024-08-20T21:38:16.4465115Z inflating: build/lib/torch/_dynamo/backends/tensorrt.py 2024-08-20T21:38:16.4466254Z inflating: build/lib/torch/_dynamo/backends/torchxla.py 2024-08-20T21:38:16.4467329Z inflating: build/lib/torch/_dynamo/backends/tvm.py 2024-08-20T21:38:16.4468240Z creating: build/lib/torch/_dynamo/repro/ 2024-08-20T21:38:16.4469143Z extracting: build/lib/torch/_dynamo/repro/__init__.py 2024-08-20T21:38:16.4470214Z inflating: build/lib/torch/_dynamo/repro/after_aot.py 2024-08-20T21:38:16.4472699Z inflating: build/lib/torch/_dynamo/repro/after_dynamo.py 2024-08-20T21:38:16.4473747Z creating: build/lib/torch/_dynamo/variables/ 2024-08-20T21:38:16.4474740Z inflating: build/lib/torch/_dynamo/variables/__init__.py 2024-08-20T21:38:16.4475829Z inflating: build/lib/torch/_dynamo/variables/base.py 2024-08-20T21:38:16.4484801Z inflating: build/lib/torch/_dynamo/variables/builder.py 2024-08-20T21:38:16.4490902Z inflating: build/lib/torch/_dynamo/variables/builtin.py 2024-08-20T21:38:16.4492305Z inflating: build/lib/torch/_dynamo/variables/constant.py 2024-08-20T21:38:16.4495808Z inflating: build/lib/torch/_dynamo/variables/ctx_manager.py 2024-08-20T21:38:16.4499220Z inflating: build/lib/torch/_dynamo/variables/dicts.py 2024-08-20T21:38:16.4501148Z inflating: build/lib/torch/_dynamo/variables/distributed.py 2024-08-20T21:38:16.4505150Z inflating: build/lib/torch/_dynamo/variables/functions.py 2024-08-20T21:38:16.4511423Z inflating: build/lib/torch/_dynamo/variables/higher_order_ops.py 2024-08-20T21:38:16.4547193Z inflating: build/lib/torch/_dynamo/variables/iter.py 2024-08-20T21:38:16.4548324Z inflating: build/lib/torch/_dynamo/variables/lazy.py 2024-08-20T21:38:16.4549354Z inflating: build/lib/torch/_dynamo/variables/lists.py 2024-08-20T21:38:16.4550425Z inflating: build/lib/torch/_dynamo/variables/misc.py 2024-08-20T21:38:16.4551528Z inflating: build/lib/torch/_dynamo/variables/nn_module.py 2024-08-20T21:38:16.4552672Z inflating: build/lib/torch/_dynamo/variables/optimizer.py 2024-08-20T21:38:16.4553998Z inflating: build/lib/torch/_dynamo/variables/script_object.py 2024-08-20T21:38:16.4555133Z inflating: build/lib/torch/_dynamo/variables/sdpa.py 2024-08-20T21:38:16.4556218Z inflating: build/lib/torch/_dynamo/variables/tensor.py 2024-08-20T21:38:16.4557289Z inflating: build/lib/torch/_dynamo/variables/torch.py 2024-08-20T21:38:16.4558478Z inflating: build/lib/torch/_dynamo/variables/torch_function.py 2024-08-20T21:38:16.4559735Z inflating: build/lib/torch/_dynamo/variables/user_defined.py 2024-08-20T21:38:16.4560743Z creating: build/lib/torch/_export/ 2024-08-20T21:38:16.4561576Z inflating: build/lib/torch/_export/__init__.py 2024-08-20T21:38:16.4562548Z inflating: build/lib/torch/_export/converter.py 2024-08-20T21:38:16.4563434Z inflating: build/lib/torch/_export/error.py 2024-08-20T21:38:16.4564441Z inflating: build/lib/torch/_export/non_strict_utils.py 2024-08-20T21:38:16.4565429Z inflating: build/lib/torch/_export/pass_base.py 2024-08-20T21:38:16.4566357Z inflating: build/lib/torch/_export/tools.py 2024-08-20T21:38:16.4567411Z inflating: build/lib/torch/_export/utils.py 2024-08-20T21:38:16.4568349Z inflating: build/lib/torch/_export/verifier.py 2024-08-20T21:38:16.4569284Z inflating: build/lib/torch/_export/wrappers.py 2024-08-20T21:38:16.4570078Z creating: build/lib/torch/_export/db/ 2024-08-20T21:38:16.4570932Z inflating: build/lib/torch/_export/db/__init__.py 2024-08-20T21:38:16.4571897Z inflating: build/lib/torch/_export/db/case.py 2024-08-20T21:38:16.4572888Z inflating: build/lib/torch/_export/db/gen_example.py 2024-08-20T21:38:16.4573946Z inflating: build/lib/torch/_export/db/logging.py 2024-08-20T21:38:16.4574905Z creating: build/lib/torch/_export/db/examples/ 2024-08-20T21:38:16.4575956Z inflating: build/lib/torch/_export/db/examples/__init__.py 2024-08-20T21:38:16.4577258Z inflating: build/lib/torch/_export/db/examples/assume_constant_result.py 2024-08-20T21:38:16.4578767Z inflating: build/lib/torch/_export/db/examples/autograd_function.py 2024-08-20T21:38:16.4580216Z inflating: build/lib/torch/_export/db/examples/class_method.py 2024-08-20T21:38:16.4581646Z inflating: build/lib/torch/_export/db/examples/cond_branch_class_method.py 2024-08-20T21:38:16.4583061Z inflating: build/lib/torch/_export/db/examples/cond_branch_nested_function.py 2024-08-20T21:38:16.4584619Z inflating: build/lib/torch/_export/db/examples/cond_branch_nonlocal_variables.py 2024-08-20T21:38:16.4586270Z inflating: build/lib/torch/_export/db/examples/cond_closed_over_variable.py 2024-08-20T21:38:16.4587742Z inflating: build/lib/torch/_export/db/examples/cond_operands.py 2024-08-20T21:38:16.4589089Z inflating: build/lib/torch/_export/db/examples/cond_predicate.py 2024-08-20T21:38:16.4590551Z inflating: build/lib/torch/_export/db/examples/constrain_as_size_example.py 2024-08-20T21:38:16.4592175Z inflating: build/lib/torch/_export/db/examples/constrain_as_value_example.py 2024-08-20T21:38:16.4593635Z inflating: build/lib/torch/_export/db/examples/decorator.py 2024-08-20T21:38:16.4595046Z inflating: build/lib/torch/_export/db/examples/dictionary.py 2024-08-20T21:38:16.4596433Z inflating: build/lib/torch/_export/db/examples/dynamic_shape_assert.py 2024-08-20T21:38:16.4597955Z inflating: build/lib/torch/_export/db/examples/dynamic_shape_constructor.py 2024-08-20T21:38:16.4599427Z inflating: build/lib/torch/_export/db/examples/dynamic_shape_if_guard.py 2024-08-20T21:38:16.4600908Z inflating: build/lib/torch/_export/db/examples/dynamic_shape_map.py 2024-08-20T21:38:16.4602308Z inflating: build/lib/torch/_export/db/examples/dynamic_shape_round.py 2024-08-20T21:38:16.4603776Z inflating: build/lib/torch/_export/db/examples/dynamic_shape_slicing.py 2024-08-20T21:38:16.4605188Z inflating: build/lib/torch/_export/db/examples/dynamic_shape_view.py 2024-08-20T21:38:16.4606576Z inflating: build/lib/torch/_export/db/examples/fn_with_kwargs.py 2024-08-20T21:38:16.4608007Z inflating: build/lib/torch/_export/db/examples/list_contains.py 2024-08-20T21:38:16.4609286Z inflating: build/lib/torch/_export/db/examples/list_unpack.py 2024-08-20T21:38:16.4610600Z inflating: build/lib/torch/_export/db/examples/model_attr_mutation.py 2024-08-20T21:38:16.4612022Z inflating: build/lib/torch/_export/db/examples/nested_function.py 2024-08-20T21:38:16.4613424Z inflating: build/lib/torch/_export/db/examples/null_context_manager.py 2024-08-20T21:38:16.4614788Z inflating: build/lib/torch/_export/db/examples/optional_input.py 2024-08-20T21:38:16.4616106Z inflating: build/lib/torch/_export/db/examples/pytree_flatten.py 2024-08-20T21:38:16.4617446Z inflating: build/lib/torch/_export/db/examples/scalar_output.py 2024-08-20T21:38:16.4618788Z inflating: build/lib/torch/_export/db/examples/specialized_attribute.py 2024-08-20T21:38:16.4620324Z inflating: build/lib/torch/_export/db/examples/static_for_loop.py 2024-08-20T21:38:16.4621613Z inflating: build/lib/torch/_export/db/examples/static_if.py 2024-08-20T21:38:16.4622868Z inflating: build/lib/torch/_export/db/examples/tensor_setattr.py 2024-08-20T21:38:16.4624298Z inflating: build/lib/torch/_export/db/examples/type_reflection_method.py 2024-08-20T21:38:16.4625935Z inflating: build/lib/torch/_export/db/examples/unsupported_operator.py 2024-08-20T21:38:16.4627340Z inflating: build/lib/torch/_export/db/examples/user_input_mutation.py 2024-08-20T21:38:16.4628456Z creating: build/lib/torch/_export/pass_infra/ 2024-08-20T21:38:16.4629483Z extracting: build/lib/torch/_export/pass_infra/__init__.py 2024-08-20T21:38:16.4630690Z inflating: build/lib/torch/_export/pass_infra/node_metadata.py 2024-08-20T21:38:16.4631892Z inflating: build/lib/torch/_export/pass_infra/proxy_value.py 2024-08-20T21:38:16.4632896Z creating: build/lib/torch/_export/passes/ 2024-08-20T21:38:16.4633846Z inflating: build/lib/torch/_export/passes/__init__.py 2024-08-20T21:38:16.4635044Z inflating: build/lib/torch/_export/passes/_node_metadata_hook.py 2024-08-20T21:38:16.4636585Z inflating: build/lib/torch/_export/passes/add_runtime_assertions_for_constraints_pass.py 2024-08-20T21:38:16.4638239Z inflating: build/lib/torch/_export/passes/collect_tracepoints_pass.py 2024-08-20T21:38:16.4639583Z inflating: build/lib/torch/_export/passes/constant_folding.py 2024-08-20T21:38:16.4641026Z inflating: build/lib/torch/_export/passes/functionalize_side_effectful_ops_pass.py 2024-08-20T21:38:16.4642478Z inflating: build/lib/torch/_export/passes/lift_constants_pass.py 2024-08-20T21:38:16.4643858Z inflating: build/lib/torch/_export/passes/remove_runtime_assertions.py 2024-08-20T21:38:16.4645362Z inflating: build/lib/torch/_export/passes/replace_autocast_with_hop_pass.py 2024-08-20T21:38:16.4647069Z inflating: build/lib/torch/_export/passes/replace_quantized_ops_with_standard_ops_pass.py 2024-08-20T21:38:16.4648765Z inflating: build/lib/torch/_export/passes/replace_set_grad_with_hop_pass.py 2024-08-20T21:38:16.4650424Z inflating: build/lib/torch/_export/passes/replace_view_ops_with_view_copy_ops_pass.py 2024-08-20T21:38:16.4652160Z inflating: build/lib/torch/_export/passes/replace_with_hop_pass_util.py 2024-08-20T21:38:16.4653327Z creating: build/lib/torch/_export/serde/ 2024-08-20T21:38:16.4654258Z extracting: build/lib/torch/_export/serde/__init__.py 2024-08-20T21:38:16.4655353Z inflating: build/lib/torch/_export/serde/aoti_schema.py 2024-08-20T21:38:16.4656425Z inflating: build/lib/torch/_export/serde/schema.py 2024-08-20T21:38:16.4657489Z inflating: build/lib/torch/_export/serde/schema_check.py 2024-08-20T21:38:16.4658599Z inflating: build/lib/torch/_export/serde/serialize.py 2024-08-20T21:38:16.4659633Z inflating: build/lib/torch/_export/serde/union.py 2024-08-20T21:38:16.4660662Z inflating: build/lib/torch/_export/serde/schema.yaml 2024-08-20T21:38:16.4661573Z creating: build/lib/torch/_functorch/ 2024-08-20T21:38:16.4662586Z inflating: build/lib/torch/_functorch/__init__.py 2024-08-20T21:38:16.4663596Z inflating: build/lib/torch/_functorch/aot_autograd.py 2024-08-20T21:38:16.4664607Z inflating: build/lib/torch/_functorch/apis.py 2024-08-20T21:38:16.4665658Z inflating: build/lib/torch/_functorch/autograd_function.py 2024-08-20T21:38:16.4666907Z inflating: build/lib/torch/_functorch/batch_norm_replacement.py 2024-08-20T21:38:16.4668088Z inflating: build/lib/torch/_functorch/benchmark_utils.py 2024-08-20T21:38:16.4669203Z inflating: build/lib/torch/_functorch/compile_utils.py 2024-08-20T21:38:16.4670265Z inflating: build/lib/torch/_functorch/compilers.py 2024-08-20T21:38:16.4671246Z inflating: build/lib/torch/_functorch/config.py 2024-08-20T21:38:16.4672267Z inflating: build/lib/torch/_functorch/deprecated.py 2024-08-20T21:38:16.4673329Z inflating: build/lib/torch/_functorch/eager_transforms.py 2024-08-20T21:38:16.4674396Z inflating: build/lib/torch/_functorch/functional_call.py 2024-08-20T21:38:16.4675514Z inflating: build/lib/torch/_functorch/fx_minifier.py 2024-08-20T21:38:16.4676627Z inflating: build/lib/torch/_functorch/make_functional.py 2024-08-20T21:38:16.4677784Z inflating: build/lib/torch/_functorch/partitioners.py 2024-08-20T21:38:16.4678864Z inflating: build/lib/torch/_functorch/pyfunctorch.py 2024-08-20T21:38:16.4679916Z inflating: build/lib/torch/_functorch/python_key.py 2024-08-20T21:38:16.4680969Z inflating: build/lib/torch/_functorch/pytree_hacks.py 2024-08-20T21:38:16.4682206Z inflating: build/lib/torch/_functorch/top_operators_github_usage.py 2024-08-20T21:38:16.4683351Z inflating: build/lib/torch/_functorch/utils.py 2024-08-20T21:38:16.4684283Z inflating: build/lib/torch/_functorch/vmap.py 2024-08-20T21:38:16.4685191Z creating: build/lib/torch/_functorch/_aot_autograd/ 2024-08-20T21:38:16.4686343Z inflating: build/lib/torch/_functorch/_aot_autograd/__init__.py 2024-08-20T21:38:16.4688506Z inflating: build/lib/torch/_functorch/_aot_autograd/autograd_cache.py 2024-08-20T21:38:16.4692817Z inflating: build/lib/torch/_functorch/_aot_autograd/collect_metadata_analysis.py 2024-08-20T21:38:16.4694488Z inflating: build/lib/torch/_functorch/_aot_autograd/dispatch_and_compile_graph.py 2024-08-20T21:38:16.4696960Z inflating: build/lib/torch/_functorch/_aot_autograd/functional_utils.py 2024-08-20T21:38:16.4699733Z inflating: build/lib/torch/_functorch/_aot_autograd/input_output_analysis.py 2024-08-20T21:38:16.4703457Z inflating: build/lib/torch/_functorch/_aot_autograd/jit_compile_runtime_wrappers.py 2024-08-20T21:38:16.4705034Z inflating: build/lib/torch/_functorch/_aot_autograd/logging_utils.py 2024-08-20T21:38:16.4712296Z inflating: build/lib/torch/_functorch/_aot_autograd/runtime_wrappers.py 2024-08-20T21:38:16.4716064Z inflating: build/lib/torch/_functorch/_aot_autograd/schemas.py 2024-08-20T21:38:16.4717995Z inflating: build/lib/torch/_functorch/_aot_autograd/subclass_utils.py 2024-08-20T21:38:16.4722534Z inflating: build/lib/torch/_functorch/_aot_autograd/traced_function_transforms.py 2024-08-20T21:38:16.4724225Z inflating: build/lib/torch/_functorch/_aot_autograd/utils.py 2024-08-20T21:38:16.4725329Z creating: build/lib/torch/_higher_order_ops/ 2024-08-20T21:38:16.4726524Z inflating: build/lib/torch/_higher_order_ops/__init__.py 2024-08-20T21:38:16.4727763Z inflating: build/lib/torch/_higher_order_ops/associative_scan.py 2024-08-20T21:38:16.4729127Z inflating: build/lib/torch/_higher_order_ops/auto_functionalize.py 2024-08-20T21:38:16.4730802Z inflating: build/lib/torch/_higher_order_ops/cond.py 2024-08-20T21:38:16.4732270Z inflating: build/lib/torch/_higher_order_ops/effects.py 2024-08-20T21:38:16.4733697Z inflating: build/lib/torch/_higher_order_ops/executorch_call_delegate.py 2024-08-20T21:38:16.4736857Z inflating: build/lib/torch/_higher_order_ops/flex_attention.py 2024-08-20T21:38:16.4737980Z inflating: build/lib/torch/_higher_order_ops/map.py 2024-08-20T21:38:16.4739443Z inflating: build/lib/torch/_higher_order_ops/out_dtype.py 2024-08-20T21:38:16.4740791Z inflating: build/lib/torch/_higher_order_ops/run_const_graph.py 2024-08-20T21:38:16.4742044Z inflating: build/lib/torch/_higher_order_ops/strict_mode.py 2024-08-20T21:38:16.4743231Z inflating: build/lib/torch/_higher_order_ops/torchbind.py 2024-08-20T21:38:16.4747050Z inflating: build/lib/torch/_higher_order_ops/triton_kernel_wrap.py 2024-08-20T21:38:16.4748759Z inflating: build/lib/torch/_higher_order_ops/utils.py 2024-08-20T21:38:16.4750417Z inflating: build/lib/torch/_higher_order_ops/while_loop.py 2024-08-20T21:38:16.4751942Z inflating: build/lib/torch/_higher_order_ops/wrap.py 2024-08-20T21:38:16.4752875Z creating: build/lib/torch/_inductor/ 2024-08-20T21:38:16.4753761Z inflating: build/lib/torch/_inductor/__init__.py 2024-08-20T21:38:16.4755012Z inflating: build/lib/torch/_inductor/aoti_eager.py 2024-08-20T21:38:16.4756547Z inflating: build/lib/torch/_inductor/async_compile.py 2024-08-20T21:38:16.4759932Z inflating: build/lib/torch/_inductor/autotune_process.py 2024-08-20T21:38:16.4761016Z inflating: build/lib/torch/_inductor/bounds.py 2024-08-20T21:38:16.4770614Z inflating: build/lib/torch/_inductor/codecache.py 2024-08-20T21:38:16.4771862Z inflating: build/lib/torch/_inductor/comm_analysis.py 2024-08-20T21:38:16.4774547Z inflating: build/lib/torch/_inductor/comms.py 2024-08-20T21:38:16.4780311Z inflating: build/lib/torch/_inductor/compile_fx.py 2024-08-20T21:38:16.4784820Z inflating: build/lib/torch/_inductor/config.py 2024-08-20T21:38:16.4786954Z inflating: build/lib/torch/_inductor/constant_folding.py 2024-08-20T21:38:16.4791149Z inflating: build/lib/torch/_inductor/cpp_builder.py 2024-08-20T21:38:16.4792885Z inflating: build/lib/torch/_inductor/cpu_vec_isa.py 2024-08-20T21:38:16.4800980Z inflating: build/lib/torch/_inductor/cudagraph_trees.py 2024-08-20T21:38:16.4802454Z inflating: build/lib/torch/_inductor/cudagraph_utils.py 2024-08-20T21:38:16.4805178Z inflating: build/lib/torch/_inductor/debug.py 2024-08-20T21:38:16.4808427Z inflating: build/lib/torch/_inductor/decomposition.py 2024-08-20T21:38:16.4811039Z inflating: build/lib/torch/_inductor/dependencies.py 2024-08-20T21:38:16.4812079Z inflating: build/lib/torch/_inductor/exc.py 2024-08-20T21:38:16.4813166Z inflating: build/lib/torch/_inductor/extern_node_serializer.py 2024-08-20T21:38:16.4814321Z inflating: build/lib/torch/_inductor/freezing.py 2024-08-20T21:38:16.4815527Z inflating: build/lib/torch/_inductor/fx_utils.py 2024-08-20T21:38:16.4822410Z inflating: build/lib/torch/_inductor/graph.py 2024-08-20T21:38:16.4823373Z inflating: build/lib/torch/_inductor/hooks.py 2024-08-20T21:38:16.4824890Z inflating: build/lib/torch/_inductor/index_propagation.py 2024-08-20T21:38:16.4826503Z inflating: build/lib/torch/_inductor/inductor_prims.py 2024-08-20T21:38:16.4842737Z inflating: build/lib/torch/_inductor/ir.py 2024-08-20T21:38:16.4844188Z inflating: build/lib/torch/_inductor/jagged_lowerings.py 2024-08-20T21:38:16.4858224Z inflating: build/lib/torch/_inductor/lowering.py 2024-08-20T21:38:16.4859691Z inflating: build/lib/torch/_inductor/metrics.py 2024-08-20T21:38:16.4863338Z inflating: build/lib/torch/_inductor/mkldnn_ir.py 2024-08-20T21:38:16.4866312Z inflating: build/lib/torch/_inductor/mkldnn_lowerings.py 2024-08-20T21:38:16.4869105Z inflating: build/lib/torch/_inductor/ops_handler.py 2024-08-20T21:38:16.4870023Z inflating: build/lib/torch/_inductor/optimize_indexing.py 2024-08-20T21:38:16.4875472Z inflating: build/lib/torch/_inductor/pattern_matcher.py 2024-08-20T21:38:16.4876336Z inflating: build/lib/torch/_inductor/quantized_lowerings.py 2024-08-20T21:38:16.4877125Z inflating: build/lib/torch/_inductor/remote_cache.py 2024-08-20T21:38:16.4886790Z inflating: build/lib/torch/_inductor/scheduler.py 2024-08-20T21:38:16.4891682Z inflating: build/lib/torch/_inductor/select_algorithm.py 2024-08-20T21:38:16.4894672Z inflating: build/lib/torch/_inductor/sizevars.py 2024-08-20T21:38:16.4895760Z inflating: build/lib/torch/_inductor/subgraph_lowering.py 2024-08-20T21:38:16.4896403Z inflating: build/lib/torch/_inductor/test_case.py 2024-08-20T21:38:16.4897217Z inflating: build/lib/torch/_inductor/test_operators.py 2024-08-20T21:38:16.4902614Z inflating: build/lib/torch/_inductor/utils.py 2024-08-20T21:38:16.4904398Z inflating: build/lib/torch/_inductor/virtualized.py 2024-08-20T21:38:16.4905935Z inflating: build/lib/torch/_inductor/wrapper_benchmark.py 2024-08-20T21:38:16.4906771Z creating: build/lib/torch/_inductor/autoheuristic/ 2024-08-20T21:38:16.4907515Z extracting: build/lib/torch/_inductor/autoheuristic/__init__.py 2024-08-20T21:38:16.4909139Z inflating: build/lib/torch/_inductor/autoheuristic/autoheuristic.py 2024-08-20T21:38:16.4910594Z inflating: build/lib/torch/_inductor/autoheuristic/autoheuristic_utils.py 2024-08-20T21:38:16.4911589Z inflating: build/lib/torch/_inductor/autoheuristic/learned_heuristic_controller.py 2024-08-20T21:38:16.4912657Z inflating: build/lib/torch/_inductor/autoheuristic/learnedheuristic_interface.py 2024-08-20T21:38:16.4913458Z creating: build/lib/torch/_inductor/autoheuristic/artifacts/ 2024-08-20T21:38:16.4915044Z inflating: build/lib/torch/_inductor/autoheuristic/artifacts/_MMRankingA100.py 2024-08-20T21:38:16.4917202Z inflating: build/lib/torch/_inductor/autoheuristic/artifacts/_MMRankingH100.py 2024-08-20T21:38:16.4918264Z inflating: build/lib/torch/_inductor/autoheuristic/artifacts/_MixedMMA100.py 2024-08-20T21:38:16.4919448Z inflating: build/lib/torch/_inductor/autoheuristic/artifacts/_MixedMMH100.py 2024-08-20T21:38:16.4920485Z inflating: build/lib/torch/_inductor/autoheuristic/artifacts/_PadMMA100.py 2024-08-20T21:38:16.4921409Z extracting: build/lib/torch/_inductor/autoheuristic/artifacts/__init__.py 2024-08-20T21:38:16.4922126Z creating: build/lib/torch/_inductor/codegen/ 2024-08-20T21:38:16.4922705Z extracting: build/lib/torch/_inductor/codegen/__init__.py 2024-08-20T21:38:16.4923671Z inflating: build/lib/torch/_inductor/codegen/aoti_hipify_utils.py 2024-08-20T21:38:16.4924852Z inflating: build/lib/torch/_inductor/codegen/codegen_device_driver.py 2024-08-20T21:38:16.4930024Z inflating: build/lib/torch/_inductor/codegen/common.py 2024-08-20T21:38:16.4942326Z inflating: build/lib/torch/_inductor/codegen/cpp.py 2024-08-20T21:38:16.4945840Z inflating: build/lib/torch/_inductor/codegen/cpp_gemm_template.py 2024-08-20T21:38:16.4948360Z inflating: build/lib/torch/_inductor/codegen/cpp_micro_gemm.py 2024-08-20T21:38:16.4949312Z inflating: build/lib/torch/_inductor/codegen/cpp_template.py 2024-08-20T21:38:16.4951453Z inflating: build/lib/torch/_inductor/codegen/cpp_template_kernel.py 2024-08-20T21:38:16.4954076Z inflating: build/lib/torch/_inductor/codegen/cpp_utils.py 2024-08-20T21:38:16.4961672Z inflating: build/lib/torch/_inductor/codegen/cpp_wrapper_cpu.py 2024-08-20T21:38:16.4963371Z inflating: build/lib/torch/_inductor/codegen/cpp_wrapper_cuda.py 2024-08-20T21:38:16.4964399Z inflating: build/lib/torch/_inductor/codegen/cuda_combined_scheduling.py 2024-08-20T21:38:16.4965256Z inflating: build/lib/torch/_inductor/codegen/debug_utils.py 2024-08-20T21:38:16.4970004Z inflating: build/lib/torch/_inductor/codegen/halide.py 2024-08-20T21:38:16.4972458Z inflating: build/lib/torch/_inductor/codegen/memory_planning.py 2024-08-20T21:38:16.4974316Z inflating: build/lib/torch/_inductor/codegen/multi_kernel.py 2024-08-20T21:38:16.4980192Z inflating: build/lib/torch/_inductor/codegen/simd.py 2024-08-20T21:38:16.4988851Z inflating: build/lib/torch/_inductor/codegen/triton.py 2024-08-20T21:38:16.4992160Z inflating: build/lib/torch/_inductor/codegen/triton_combo_kernel.py 2024-08-20T21:38:16.4993285Z inflating: build/lib/torch/_inductor/codegen/triton_split_scan.py 2024-08-20T21:38:16.4994424Z inflating: build/lib/torch/_inductor/codegen/triton_utils.py 2024-08-20T21:38:16.5000555Z inflating: build/lib/torch/_inductor/codegen/wrapper.py 2024-08-20T21:38:16.5001215Z creating: build/lib/torch/_inductor/codegen/cuda/ 2024-08-20T21:38:16.5001844Z extracting: build/lib/torch/_inductor/codegen/cuda/__init__.py 2024-08-20T21:38:16.5002947Z inflating: build/lib/torch/_inductor/codegen/cuda/cuda_cpp_scheduling.py 2024-08-20T21:38:16.5004078Z inflating: build/lib/torch/_inductor/codegen/cuda/cuda_env.py 2024-08-20T21:38:16.5005036Z inflating: build/lib/torch/_inductor/codegen/cuda/cuda_kernel.py 2024-08-20T21:38:16.5006947Z inflating: build/lib/torch/_inductor/codegen/cuda/cuda_template.py 2024-08-20T21:38:16.5008593Z inflating: build/lib/torch/_inductor/codegen/cuda/cutlass_epilogue_gen.py 2024-08-20T21:38:16.5010183Z inflating: build/lib/torch/_inductor/codegen/cuda/cutlass_utils.py 2024-08-20T21:38:16.5011484Z inflating: build/lib/torch/_inductor/codegen/cuda/device_op_overrides.py 2024-08-20T21:38:16.5016515Z inflating: build/lib/torch/_inductor/codegen/cuda/gemm_template.py 2024-08-20T21:38:16.5017969Z creating: build/lib/torch/_inductor/codegen/cuda/cutlass_lib_extensions/ 2024-08-20T21:38:16.5019591Z extracting: build/lib/torch/_inductor/codegen/cuda/cutlass_lib_extensions/__init__.py 2024-08-20T21:38:16.5021646Z inflating: build/lib/torch/_inductor/codegen/cuda/cutlass_lib_extensions/gemm_operation_extensions.py 2024-08-20T21:38:16.5023204Z creating: build/lib/torch/_inductor/codegen/rocm/ 2024-08-20T21:38:16.5024345Z extracting: build/lib/torch/_inductor/codegen/rocm/__init__.py 2024-08-20T21:38:16.5025642Z inflating: build/lib/torch/_inductor/codegen/rocm/ck_template.py 2024-08-20T21:38:16.5027283Z inflating: build/lib/torch/_inductor/codegen/rocm/ck_universal_gemm_template.py 2024-08-20T21:38:16.5028935Z inflating: build/lib/torch/_inductor/codegen/rocm/compile_command.py 2024-08-20T21:38:16.5030432Z inflating: build/lib/torch/_inductor/codegen/rocm/rocm_benchmark_request.py 2024-08-20T21:38:16.5031954Z inflating: build/lib/torch/_inductor/codegen/rocm/rocm_cpp_scheduling.py 2024-08-20T21:38:16.5033358Z inflating: build/lib/torch/_inductor/codegen/rocm/rocm_kernel.py 2024-08-20T21:38:16.5034699Z inflating: build/lib/torch/_inductor/codegen/rocm/rocm_template.py 2024-08-20T21:38:16.5036108Z inflating: build/lib/torch/_inductor/codegen/rocm/rocm_template_buffer.py 2024-08-20T21:38:16.5037313Z creating: build/lib/torch/_inductor/codegen/xpu/ 2024-08-20T21:38:16.5038459Z extracting: build/lib/torch/_inductor/codegen/xpu/__init__.py 2024-08-20T21:38:16.5039828Z inflating: build/lib/torch/_inductor/codegen/xpu/device_op_overrides.py 2024-08-20T21:38:16.5041175Z inflating: build/lib/torch/_inductor/codegen/cpp_prefix.h 2024-08-20T21:38:16.5042337Z creating: build/lib/torch/_inductor/codegen/aoti_runtime/ 2024-08-20T21:38:16.5043650Z inflating: build/lib/torch/_inductor/codegen/aoti_runtime/implementation.cpp 2024-08-20T21:38:16.5045171Z inflating: build/lib/torch/_inductor/codegen/aoti_runtime/interface.cpp 2024-08-20T21:38:16.5046562Z creating: build/lib/torch/_inductor/compile_worker/ 2024-08-20T21:38:16.5047706Z extracting: build/lib/torch/_inductor/compile_worker/__init__.py 2024-08-20T21:38:16.5049021Z inflating: build/lib/torch/_inductor/compile_worker/__main__.py 2024-08-20T21:38:16.5050376Z inflating: build/lib/torch/_inductor/compile_worker/subproc_pool.py 2024-08-20T21:38:16.5051700Z inflating: build/lib/torch/_inductor/compile_worker/watchdog.py 2024-08-20T21:38:16.5052774Z creating: build/lib/torch/_inductor/fx_passes/ 2024-08-20T21:38:16.5053827Z extracting: build/lib/torch/_inductor/fx_passes/__init__.py 2024-08-20T21:38:16.5054980Z inflating: build/lib/torch/_inductor/fx_passes/b2b_gemm.py 2024-08-20T21:38:16.5056220Z inflating: build/lib/torch/_inductor/fx_passes/binary_folding.py 2024-08-20T21:38:16.5057472Z inflating: build/lib/torch/_inductor/fx_passes/ddp_fusion.py 2024-08-20T21:38:16.5058939Z inflating: build/lib/torch/_inductor/fx_passes/decompose_mem_bound_mm.py 2024-08-20T21:38:16.5060459Z inflating: build/lib/torch/_inductor/fx_passes/dedupe_symint_uses.py 2024-08-20T21:38:16.5061901Z inflating: build/lib/torch/_inductor/fx_passes/efficient_conv_bn_eval.py 2024-08-20T21:38:16.5063330Z inflating: build/lib/torch/_inductor/fx_passes/freezing_patterns.py 2024-08-20T21:38:16.5064686Z inflating: build/lib/torch/_inductor/fx_passes/fuse_attention.py 2024-08-20T21:38:16.5066019Z inflating: build/lib/torch/_inductor/fx_passes/group_batch_fusion.py 2024-08-20T21:38:16.5067361Z inflating: build/lib/torch/_inductor/fx_passes/joint_graph.py 2024-08-20T21:38:16.5068664Z inflating: build/lib/torch/_inductor/fx_passes/micro_pipeline_tp.py 2024-08-20T21:38:16.5069969Z inflating: build/lib/torch/_inductor/fx_passes/misc_patterns.py 2024-08-20T21:38:16.5071658Z inflating: build/lib/torch/_inductor/fx_passes/mkldnn_fusion.py 2024-08-20T21:38:16.5072974Z inflating: build/lib/torch/_inductor/fx_passes/numeric_utils.py 2024-08-20T21:38:16.5076105Z inflating: build/lib/torch/_inductor/fx_passes/pad_mm.py 2024-08-20T21:38:16.5080114Z inflating: build/lib/torch/_inductor/fx_passes/post_grad.py 2024-08-20T21:38:16.5083006Z inflating: build/lib/torch/_inductor/fx_passes/pre_grad.py 2024-08-20T21:38:16.5089470Z inflating: build/lib/torch/_inductor/fx_passes/quantization.py 2024-08-20T21:38:16.5092242Z inflating: build/lib/torch/_inductor/fx_passes/reinplace.py 2024-08-20T21:38:16.5093524Z inflating: build/lib/torch/_inductor/fx_passes/replace_random.py 2024-08-20T21:38:16.5100447Z inflating: build/lib/torch/_inductor/fx_passes/split_cat.py 2024-08-20T21:38:16.5101208Z creating: build/lib/torch/_inductor/fx_passes/serialized_patterns/ 2024-08-20T21:38:16.5102057Z extracting: build/lib/torch/_inductor/fx_passes/serialized_patterns/__init__.py 2024-08-20T21:38:16.5103026Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_1.py 2024-08-20T21:38:16.5104019Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_10.py 2024-08-20T21:38:16.5104994Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_11.py 2024-08-20T21:38:16.5106093Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_12.py 2024-08-20T21:38:16.5107087Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_13.py 2024-08-20T21:38:16.5108038Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_14.py 2024-08-20T21:38:16.5109053Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_15.py 2024-08-20T21:38:16.5110959Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_16.py 2024-08-20T21:38:16.5112068Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_17.py 2024-08-20T21:38:16.5113959Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_18.py 2024-08-20T21:38:16.5115166Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_19.py 2024-08-20T21:38:16.5116163Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_2.py 2024-08-20T21:38:16.5117179Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_3.py 2024-08-20T21:38:16.5118199Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_4.py 2024-08-20T21:38:16.5119221Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_5.py 2024-08-20T21:38:16.5120248Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_6.py 2024-08-20T21:38:16.5121321Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_7.py 2024-08-20T21:38:16.5122378Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_8.py 2024-08-20T21:38:16.5123509Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_9.py 2024-08-20T21:38:16.5124546Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/addmm_pattern.py 2024-08-20T21:38:16.5125567Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/bmm_pattern.py 2024-08-20T21:38:16.5126634Z inflating: build/lib/torch/_inductor/fx_passes/serialized_patterns/mm_pattern.py 2024-08-20T21:38:16.5127385Z creating: build/lib/torch/_inductor/kernel/ 2024-08-20T21:38:16.5127945Z inflating: build/lib/torch/_inductor/kernel/__init__.py 2024-08-20T21:38:16.5128520Z inflating: build/lib/torch/_inductor/kernel/bmm.py 2024-08-20T21:38:16.5129138Z inflating: build/lib/torch/_inductor/kernel/conv.py 2024-08-20T21:38:16.5133082Z inflating: build/lib/torch/_inductor/kernel/flex_attention.py 2024-08-20T21:38:16.5134830Z inflating: build/lib/torch/_inductor/kernel/flex_decoding.py 2024-08-20T21:38:16.5136879Z inflating: build/lib/torch/_inductor/kernel/mm.py 2024-08-20T21:38:16.5138486Z inflating: build/lib/torch/_inductor/kernel/mm_common.py 2024-08-20T21:38:16.5139368Z inflating: build/lib/torch/_inductor/kernel/mm_plus_mm.py 2024-08-20T21:38:16.5140576Z inflating: build/lib/torch/_inductor/kernel/mm_scaled.py 2024-08-20T21:38:16.5141502Z inflating: build/lib/torch/_inductor/kernel/unpack_mixed_mm.py 2024-08-20T21:38:16.5142192Z creating: build/lib/torch/_inductor/package/ 2024-08-20T21:38:16.5142790Z inflating: build/lib/torch/_inductor/package/__init__.py 2024-08-20T21:38:16.5143459Z inflating: build/lib/torch/_inductor/package/build_package.py 2024-08-20T21:38:16.5144242Z inflating: build/lib/torch/_inductor/package/package.py 2024-08-20T21:38:16.5144988Z inflating: build/lib/torch/_inductor/package/pt2_archive_constants.py 2024-08-20T21:38:16.5145670Z creating: build/lib/torch/_inductor/runtime/ 2024-08-20T21:38:16.5146271Z extracting: build/lib/torch/_inductor/runtime/__init__.py 2024-08-20T21:38:16.5146928Z inflating: build/lib/torch/_inductor/runtime/benchmarking.py 2024-08-20T21:38:16.5147657Z inflating: build/lib/torch/_inductor/runtime/compile_tasks.py 2024-08-20T21:38:16.5148446Z inflating: build/lib/torch/_inductor/runtime/coordinate_descent_tuner.py 2024-08-20T21:38:16.5149256Z inflating: build/lib/torch/_inductor/runtime/halide_helpers.py 2024-08-20T21:38:16.5149939Z inflating: build/lib/torch/_inductor/runtime/hints.py 2024-08-20T21:38:16.5150582Z inflating: build/lib/torch/_inductor/runtime/runtime_utils.py 2024-08-20T21:38:16.5151365Z inflating: build/lib/torch/_inductor/runtime/triton_helpers.py 2024-08-20T21:38:16.5156371Z inflating: build/lib/torch/_inductor/runtime/triton_heuristics.py 2024-08-20T21:38:16.5156988Z creating: build/lib/torch/_lazy/ 2024-08-20T21:38:16.5157442Z inflating: build/lib/torch/_lazy/__init__.py 2024-08-20T21:38:16.5157998Z inflating: build/lib/torch/_lazy/closure.py 2024-08-20T21:38:16.5158587Z inflating: build/lib/torch/_lazy/computation.py 2024-08-20T21:38:16.5159357Z inflating: build/lib/torch/_lazy/config.py 2024-08-20T21:38:16.5159898Z inflating: build/lib/torch/_lazy/debug.py 2024-08-20T21:38:16.5160419Z inflating: build/lib/torch/_lazy/device_context.py 2024-08-20T21:38:16.5161105Z inflating: build/lib/torch/_lazy/extract_compiled_graph.py 2024-08-20T21:38:16.5161710Z inflating: build/lib/torch/_lazy/ir_cache.py 2024-08-20T21:38:16.5162276Z inflating: build/lib/torch/_lazy/metrics.py 2024-08-20T21:38:16.5162927Z inflating: build/lib/torch/_lazy/tensor_factory_functions.py 2024-08-20T21:38:16.5163569Z inflating: build/lib/torch/_lazy/ts_backend.py 2024-08-20T21:38:16.5164052Z creating: build/lib/torch/_library/ 2024-08-20T21:38:16.5164560Z inflating: build/lib/torch/_library/__init__.py 2024-08-20T21:38:16.5165082Z inflating: build/lib/torch/_library/autograd.py 2024-08-20T21:38:16.5167394Z inflating: build/lib/torch/_library/custom_ops.py 2024-08-20T21:38:16.5168661Z inflating: build/lib/torch/_library/fake_class_registry.py 2024-08-20T21:38:16.5169574Z inflating: build/lib/torch/_library/fake_impl.py 2024-08-20T21:38:16.5170888Z inflating: build/lib/torch/_library/infer_schema.py 2024-08-20T21:38:16.5171537Z inflating: build/lib/torch/_library/simple_registry.py 2024-08-20T21:38:16.5172507Z inflating: build/lib/torch/_library/triton.py 2024-08-20T21:38:16.5173904Z inflating: build/lib/torch/_library/utils.py 2024-08-20T21:38:16.5174448Z creating: build/lib/torch/_logging/ 2024-08-20T21:38:16.5174926Z inflating: build/lib/torch/_logging/__init__.py 2024-08-20T21:38:16.5177886Z inflating: build/lib/torch/_logging/_internal.py 2024-08-20T21:38:16.5178700Z inflating: build/lib/torch/_logging/_registrations.py 2024-08-20T21:38:16.5179378Z inflating: build/lib/torch/_logging/structured.py 2024-08-20T21:38:16.5179986Z creating: build/lib/torch/_numpy/ 2024-08-20T21:38:16.5180443Z inflating: build/lib/torch/_numpy/__init__.py 2024-08-20T21:38:16.5181067Z inflating: build/lib/torch/_numpy/_binary_ufuncs_impl.py 2024-08-20T21:38:16.5182787Z inflating: build/lib/torch/_numpy/_casting_dicts.py 2024-08-20T21:38:16.5183745Z inflating: build/lib/torch/_numpy/_dtypes.py 2024-08-20T21:38:16.5184623Z inflating: build/lib/torch/_numpy/_dtypes_impl.py 2024-08-20T21:38:16.5185479Z inflating: build/lib/torch/_numpy/_funcs.py 2024-08-20T21:38:16.5189826Z inflating: build/lib/torch/_numpy/_funcs_impl.py 2024-08-20T21:38:16.5190459Z inflating: build/lib/torch/_numpy/_getlimits.py 2024-08-20T21:38:16.5192008Z inflating: build/lib/torch/_numpy/_ndarray.py 2024-08-20T21:38:16.5193060Z inflating: build/lib/torch/_numpy/_normalizations.py 2024-08-20T21:38:16.5194265Z inflating: build/lib/torch/_numpy/_reductions_impl.py 2024-08-20T21:38:16.5195202Z inflating: build/lib/torch/_numpy/_ufuncs.py 2024-08-20T21:38:16.5195861Z inflating: build/lib/torch/_numpy/_unary_ufuncs_impl.py 2024-08-20T21:38:16.5196706Z inflating: build/lib/torch/_numpy/_util.py 2024-08-20T21:38:16.5197293Z inflating: build/lib/torch/_numpy/fft.py 2024-08-20T21:38:16.5198124Z inflating: build/lib/torch/_numpy/linalg.py 2024-08-20T21:38:16.5198860Z inflating: build/lib/torch/_numpy/random.py 2024-08-20T21:38:16.5199461Z creating: build/lib/torch/_numpy/testing/ 2024-08-20T21:38:16.5200066Z inflating: build/lib/torch/_numpy/testing/__init__.py 2024-08-20T21:38:16.5205413Z inflating: build/lib/torch/_numpy/testing/utils.py 2024-08-20T21:38:16.5205957Z creating: build/lib/torch/_prims/ 2024-08-20T21:38:16.5211368Z inflating: build/lib/torch/_prims/__init__.py 2024-08-20T21:38:16.5212191Z inflating: build/lib/torch/_prims/context.py 2024-08-20T21:38:16.5212834Z inflating: build/lib/torch/_prims/debug_prims.py 2024-08-20T21:38:16.5213456Z inflating: build/lib/torch/_prims/executor.py 2024-08-20T21:38:16.5214413Z inflating: build/lib/torch/_prims/rng_prims.py 2024-08-20T21:38:16.5214962Z creating: build/lib/torch/_prims_common/ 2024-08-20T21:38:16.5219874Z inflating: build/lib/torch/_prims_common/__init__.py 2024-08-20T21:38:16.5221420Z inflating: build/lib/torch/_prims_common/wrappers.py 2024-08-20T21:38:16.5221966Z creating: build/lib/torch/_refs/ 2024-08-20T21:38:16.5235883Z inflating: build/lib/torch/_refs/__init__.py 2024-08-20T21:38:16.5236636Z inflating: build/lib/torch/_refs/_conversions.py 2024-08-20T21:38:16.5237982Z inflating: build/lib/torch/_refs/fft.py 2024-08-20T21:38:16.5238483Z creating: build/lib/torch/_refs/linalg/ 2024-08-20T21:38:16.5239399Z inflating: build/lib/torch/_refs/linalg/__init__.py 2024-08-20T21:38:16.5239995Z creating: build/lib/torch/_refs/nn/ 2024-08-20T21:38:16.5240503Z inflating: build/lib/torch/_refs/nn/__init__.py 2024-08-20T21:38:16.5241034Z creating: build/lib/torch/_refs/nn/functional/ 2024-08-20T21:38:16.5243604Z inflating: build/lib/torch/_refs/nn/functional/__init__.py 2024-08-20T21:38:16.5244300Z creating: build/lib/torch/_refs/special/ 2024-08-20T21:38:16.5244958Z inflating: build/lib/torch/_refs/special/__init__.py 2024-08-20T21:38:16.5245491Z creating: build/lib/torch/_strobelight/ 2024-08-20T21:38:16.5246018Z extracting: build/lib/torch/_strobelight/__init__.py 2024-08-20T21:38:16.5246711Z inflating: build/lib/torch/_strobelight/cli_function_profiler.py 2024-08-20T21:38:16.5247484Z inflating: build/lib/torch/_strobelight/compile_time_profiler.py 2024-08-20T21:38:16.5248144Z creating: build/lib/torch/_subclasses/ 2024-08-20T21:38:16.5248652Z inflating: build/lib/torch/_subclasses/__init__.py 2024-08-20T21:38:16.5249360Z inflating: build/lib/torch/_subclasses/_fake_tensor_utils.py 2024-08-20T21:38:16.5252454Z inflating: build/lib/torch/_subclasses/fake_impls.py 2024-08-20T21:38:16.5259616Z inflating: build/lib/torch/_subclasses/fake_tensor.py 2024-08-20T21:38:16.5260573Z inflating: build/lib/torch/_subclasses/fake_utils.py 2024-08-20T21:38:16.5263376Z inflating: build/lib/torch/_subclasses/functional_tensor.py 2024-08-20T21:38:16.5268847Z inflating: build/lib/torch/_subclasses/meta_utils.py 2024-08-20T21:38:16.5269950Z inflating: build/lib/torch/_subclasses/schema_check_mode.py 2024-08-20T21:38:16.5270497Z creating: build/lib/torch/_vendor/ 2024-08-20T21:38:16.5270965Z extracting: build/lib/torch/_vendor/__init__.py 2024-08-20T21:38:16.5271490Z creating: build/lib/torch/_vendor/packaging/ 2024-08-20T21:38:16.5272044Z inflating: build/lib/torch/_vendor/packaging/__init__.py 2024-08-20T21:38:16.5272689Z inflating: build/lib/torch/_vendor/packaging/_structures.py 2024-08-20T21:38:16.5273396Z inflating: build/lib/torch/_vendor/packaging/version.py 2024-08-20T21:38:16.5273910Z creating: build/lib/torch/amp/ 2024-08-20T21:38:16.5274344Z inflating: build/lib/torch/amp/__init__.py 2024-08-20T21:38:16.5275990Z inflating: build/lib/torch/amp/autocast_mode.py 2024-08-20T21:38:16.5278524Z inflating: build/lib/torch/amp/grad_scaler.py 2024-08-20T21:38:16.5278984Z creating: build/lib/torch/ao/ 2024-08-20T21:38:16.5279413Z inflating: build/lib/torch/ao/__init__.py 2024-08-20T21:38:16.5279867Z creating: build/lib/torch/ao/nn/ 2024-08-20T21:38:16.5280302Z inflating: build/lib/torch/ao/nn/__init__.py 2024-08-20T21:38:16.5280796Z creating: build/lib/torch/ao/nn/intrinsic/ 2024-08-20T21:38:16.5281339Z inflating: build/lib/torch/ao/nn/intrinsic/__init__.py 2024-08-20T21:38:16.5281902Z creating: build/lib/torch/ao/nn/intrinsic/modules/ 2024-08-20T21:38:16.5282538Z inflating: build/lib/torch/ao/nn/intrinsic/modules/__init__.py 2024-08-20T21:38:16.5283238Z inflating: build/lib/torch/ao/nn/intrinsic/modules/fused.py 2024-08-20T21:38:16.5283838Z creating: build/lib/torch/ao/nn/intrinsic/qat/ 2024-08-20T21:38:16.5284409Z extracting: build/lib/torch/ao/nn/intrinsic/qat/__init__.py 2024-08-20T21:38:16.5285034Z creating: build/lib/torch/ao/nn/intrinsic/qat/modules/ 2024-08-20T21:38:16.5285715Z inflating: build/lib/torch/ao/nn/intrinsic/qat/modules/__init__.py 2024-08-20T21:38:16.5286662Z inflating: build/lib/torch/ao/nn/intrinsic/qat/modules/conv_fused.py 2024-08-20T21:38:16.5287492Z inflating: build/lib/torch/ao/nn/intrinsic/qat/modules/linear_fused.py 2024-08-20T21:38:16.5288325Z inflating: build/lib/torch/ao/nn/intrinsic/qat/modules/linear_relu.py 2024-08-20T21:38:16.5289020Z creating: build/lib/torch/ao/nn/intrinsic/quantized/ 2024-08-20T21:38:16.5289676Z inflating: build/lib/torch/ao/nn/intrinsic/quantized/__init__.py 2024-08-20T21:38:16.5290389Z creating: build/lib/torch/ao/nn/intrinsic/quantized/dynamic/ 2024-08-20T21:38:16.5291168Z extracting: build/lib/torch/ao/nn/intrinsic/quantized/dynamic/__init__.py 2024-08-20T21:38:16.5291992Z creating: build/lib/torch/ao/nn/intrinsic/quantized/dynamic/modules/ 2024-08-20T21:38:16.5292879Z inflating: build/lib/torch/ao/nn/intrinsic/quantized/dynamic/modules/__init__.py 2024-08-20T21:38:16.5293962Z inflating: build/lib/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py 2024-08-20T21:38:16.5294824Z creating: build/lib/torch/ao/nn/intrinsic/quantized/modules/ 2024-08-20T21:38:16.5295583Z inflating: build/lib/torch/ao/nn/intrinsic/quantized/modules/__init__.py 2024-08-20T21:38:16.5296457Z inflating: build/lib/torch/ao/nn/intrinsic/quantized/modules/bn_relu.py 2024-08-20T21:38:16.5297316Z inflating: build/lib/torch/ao/nn/intrinsic/quantized/modules/conv_add.py 2024-08-20T21:38:16.5298177Z inflating: build/lib/torch/ao/nn/intrinsic/quantized/modules/conv_relu.py 2024-08-20T21:38:16.5299081Z inflating: build/lib/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py 2024-08-20T21:38:16.5299848Z creating: build/lib/torch/ao/nn/qat/ 2024-08-20T21:38:16.5300329Z extracting: build/lib/torch/ao/nn/qat/__init__.py 2024-08-20T21:38:16.5300853Z creating: build/lib/torch/ao/nn/qat/dynamic/ 2024-08-20T21:38:16.5301412Z extracting: build/lib/torch/ao/nn/qat/dynamic/__init__.py 2024-08-20T21:38:16.5302029Z creating: build/lib/torch/ao/nn/qat/dynamic/modules/ 2024-08-20T21:38:16.5302682Z inflating: build/lib/torch/ao/nn/qat/dynamic/modules/__init__.py 2024-08-20T21:38:16.5303409Z inflating: build/lib/torch/ao/nn/qat/dynamic/modules/linear.py 2024-08-20T21:38:16.5304011Z creating: build/lib/torch/ao/nn/qat/modules/ 2024-08-20T21:38:16.5304553Z inflating: build/lib/torch/ao/nn/qat/modules/__init__.py 2024-08-20T21:38:16.5305154Z inflating: build/lib/torch/ao/nn/qat/modules/conv.py 2024-08-20T21:38:16.5305795Z inflating: build/lib/torch/ao/nn/qat/modules/embedding_ops.py 2024-08-20T21:38:16.5306433Z inflating: build/lib/torch/ao/nn/qat/modules/linear.py 2024-08-20T21:38:16.5306981Z creating: build/lib/torch/ao/nn/quantizable/ 2024-08-20T21:38:16.5307541Z extracting: build/lib/torch/ao/nn/quantizable/__init__.py 2024-08-20T21:38:16.5308132Z creating: build/lib/torch/ao/nn/quantizable/modules/ 2024-08-20T21:38:16.5308796Z inflating: build/lib/torch/ao/nn/quantizable/modules/__init__.py 2024-08-20T21:38:16.5309564Z inflating: build/lib/torch/ao/nn/quantizable/modules/activation.py 2024-08-20T21:38:16.5310294Z inflating: build/lib/torch/ao/nn/quantizable/modules/rnn.py 2024-08-20T21:38:16.5310856Z creating: build/lib/torch/ao/nn/quantized/ 2024-08-20T21:38:16.5311395Z inflating: build/lib/torch/ao/nn/quantized/__init__.py 2024-08-20T21:38:16.5312013Z inflating: build/lib/torch/ao/nn/quantized/functional.py 2024-08-20T21:38:16.5312587Z creating: build/lib/torch/ao/nn/quantized/dynamic/ 2024-08-20T21:38:16.5313215Z extracting: build/lib/torch/ao/nn/quantized/dynamic/__init__.py 2024-08-20T21:38:16.5313888Z creating: build/lib/torch/ao/nn/quantized/dynamic/modules/ 2024-08-20T21:38:16.5314600Z inflating: build/lib/torch/ao/nn/quantized/dynamic/modules/__init__.py 2024-08-20T21:38:16.5315397Z inflating: build/lib/torch/ao/nn/quantized/dynamic/modules/conv.py 2024-08-20T21:38:16.5316198Z inflating: build/lib/torch/ao/nn/quantized/dynamic/modules/linear.py 2024-08-20T21:38:16.5317036Z inflating: build/lib/torch/ao/nn/quantized/dynamic/modules/rnn.py 2024-08-20T21:38:16.5317692Z creating: build/lib/torch/ao/nn/quantized/modules/ 2024-08-20T21:38:16.5318322Z inflating: build/lib/torch/ao/nn/quantized/modules/__init__.py 2024-08-20T21:38:16.5319056Z inflating: build/lib/torch/ao/nn/quantized/modules/activation.py 2024-08-20T21:38:16.5319789Z inflating: build/lib/torch/ao/nn/quantized/modules/batchnorm.py 2024-08-20T21:38:16.5321936Z inflating: build/lib/torch/ao/nn/quantized/modules/conv.py 2024-08-20T21:38:16.5322618Z inflating: build/lib/torch/ao/nn/quantized/modules/dropout.py 2024-08-20T21:38:16.5323740Z inflating: build/lib/torch/ao/nn/quantized/modules/embedding_ops.py 2024-08-20T21:38:16.5324704Z inflating: build/lib/torch/ao/nn/quantized/modules/functional_modules.py 2024-08-20T21:38:16.5326206Z inflating: build/lib/torch/ao/nn/quantized/modules/linear.py 2024-08-20T21:38:16.5327464Z inflating: build/lib/torch/ao/nn/quantized/modules/normalization.py 2024-08-20T21:38:16.5328182Z inflating: build/lib/torch/ao/nn/quantized/modules/rnn.py 2024-08-20T21:38:16.5328896Z inflating: build/lib/torch/ao/nn/quantized/modules/utils.py 2024-08-20T21:38:16.5329528Z creating: build/lib/torch/ao/nn/quantized/reference/ 2024-08-20T21:38:16.5330455Z inflating: build/lib/torch/ao/nn/quantized/reference/__init__.py 2024-08-20T21:38:16.5331274Z creating: build/lib/torch/ao/nn/quantized/reference/modules/ 2024-08-20T21:38:16.5332144Z inflating: build/lib/torch/ao/nn/quantized/reference/modules/__init__.py 2024-08-20T21:38:16.5333088Z inflating: build/lib/torch/ao/nn/quantized/reference/modules/conv.py 2024-08-20T21:38:16.5333969Z inflating: build/lib/torch/ao/nn/quantized/reference/modules/linear.py 2024-08-20T21:38:16.5335087Z inflating: build/lib/torch/ao/nn/quantized/reference/modules/rnn.py 2024-08-20T21:38:16.5336033Z inflating: build/lib/torch/ao/nn/quantized/reference/modules/sparse.py 2024-08-20T21:38:16.5337187Z inflating: build/lib/torch/ao/nn/quantized/reference/modules/utils.py 2024-08-20T21:38:16.5337943Z creating: build/lib/torch/ao/nn/sparse/ 2024-08-20T21:38:16.5338616Z extracting: build/lib/torch/ao/nn/sparse/__init__.py 2024-08-20T21:38:16.5339183Z creating: build/lib/torch/ao/nn/sparse/quantized/ 2024-08-20T21:38:16.5340027Z inflating: build/lib/torch/ao/nn/sparse/quantized/__init__.py 2024-08-20T21:38:16.5340824Z inflating: build/lib/torch/ao/nn/sparse/quantized/linear.py 2024-08-20T21:38:16.5341730Z inflating: build/lib/torch/ao/nn/sparse/quantized/utils.py 2024-08-20T21:38:16.5342523Z creating: build/lib/torch/ao/nn/sparse/quantized/dynamic/ 2024-08-20T21:38:16.5343233Z inflating: build/lib/torch/ao/nn/sparse/quantized/dynamic/__init__.py 2024-08-20T21:38:16.5344171Z inflating: build/lib/torch/ao/nn/sparse/quantized/dynamic/linear.py 2024-08-20T21:38:16.5344781Z creating: build/lib/torch/ao/ns/ 2024-08-20T21:38:16.5345288Z extracting: build/lib/torch/ao/ns/__init__.py 2024-08-20T21:38:16.5345824Z inflating: build/lib/torch/ao/ns/_numeric_suite.py 2024-08-20T21:38:16.5347304Z inflating: build/lib/torch/ao/ns/_numeric_suite_fx.py 2024-08-20T21:38:16.5347929Z creating: build/lib/torch/ao/ns/fx/ 2024-08-20T21:38:16.5348393Z extracting: build/lib/torch/ao/ns/fx/__init__.py 2024-08-20T21:38:16.5349613Z inflating: build/lib/torch/ao/ns/fx/graph_matcher.py 2024-08-20T21:38:16.5352807Z inflating: build/lib/torch/ao/ns/fx/graph_passes.py 2024-08-20T21:38:16.5354343Z inflating: build/lib/torch/ao/ns/fx/mappings.py 2024-08-20T21:38:16.5358117Z inflating: build/lib/torch/ao/ns/fx/n_shadows_utils.py 2024-08-20T21:38:16.5358808Z inflating: build/lib/torch/ao/ns/fx/ns_types.py 2024-08-20T21:38:16.5359736Z inflating: build/lib/torch/ao/ns/fx/pattern_utils.py 2024-08-20T21:38:16.5360872Z inflating: build/lib/torch/ao/ns/fx/qconfig_multi_mapping.py 2024-08-20T21:38:16.5362853Z inflating: build/lib/torch/ao/ns/fx/utils.py 2024-08-20T21:38:16.5363995Z inflating: build/lib/torch/ao/ns/fx/weight_utils.py 2024-08-20T21:38:16.5364763Z creating: build/lib/torch/ao/pruning/ 2024-08-20T21:38:16.5365348Z inflating: build/lib/torch/ao/pruning/__init__.py 2024-08-20T21:38:16.5366037Z inflating: build/lib/torch/ao/pruning/_mappings.py 2024-08-20T21:38:16.5366689Z creating: build/lib/torch/ao/pruning/_experimental/ 2024-08-20T21:38:16.5367339Z extracting: build/lib/torch/ao/pruning/_experimental/__init__.py 2024-08-20T21:38:16.5368221Z creating: build/lib/torch/ao/pruning/_experimental/activation_sparsifier/ 2024-08-20T21:38:16.5369253Z extracting: build/lib/torch/ao/pruning/_experimental/activation_sparsifier/__init__.py 2024-08-20T21:38:16.5370517Z inflating: build/lib/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py 2024-08-20T21:38:16.5371502Z creating: build/lib/torch/ao/pruning/_experimental/data_scheduler/ 2024-08-20T21:38:16.5372492Z inflating: build/lib/torch/ao/pruning/_experimental/data_scheduler/__init__.py 2024-08-20T21:38:16.5373613Z inflating: build/lib/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py 2024-08-20T21:38:16.5374703Z creating: build/lib/torch/ao/pruning/_experimental/data_sparsifier/ 2024-08-20T21:38:16.5375659Z inflating: build/lib/torch/ao/pruning/_experimental/data_sparsifier/__init__.py 2024-08-20T21:38:16.5376741Z inflating: build/lib/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py 2024-08-20T21:38:16.5377963Z inflating: build/lib/torch/ao/pruning/_experimental/data_sparsifier/data_norm_sparsifier.py 2024-08-20T21:38:16.5379128Z inflating: build/lib/torch/ao/pruning/_experimental/data_sparsifier/quantization_utils.py 2024-08-20T21:38:16.5380358Z creating: build/lib/torch/ao/pruning/_experimental/data_sparsifier/lightning/ 2024-08-20T21:38:16.5381467Z extracting: build/lib/torch/ao/pruning/_experimental/data_sparsifier/lightning/__init__.py 2024-08-20T21:38:16.5382523Z creating: build/lib/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/ 2024-08-20T21:38:16.5383697Z extracting: build/lib/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/__init__.py 2024-08-20T21:38:16.5385100Z inflating: build/lib/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/_data_sparstity_utils.py 2024-08-20T21:38:16.5386536Z inflating: build/lib/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/data_sparsity.py 2024-08-20T21:38:16.5387625Z creating: build/lib/torch/ao/pruning/_experimental/pruner/ 2024-08-20T21:38:16.5388378Z inflating: build/lib/torch/ao/pruning/_experimental/pruner/FPGM_pruner.py 2024-08-20T21:38:16.5389312Z inflating: build/lib/torch/ao/pruning/_experimental/pruner/__init__.py 2024-08-20T21:38:16.5390374Z inflating: build/lib/torch/ao/pruning/_experimental/pruner/base_structured_sparsifier.py 2024-08-20T21:38:16.5391467Z inflating: build/lib/torch/ao/pruning/_experimental/pruner/lstm_saliency_pruner.py 2024-08-20T21:38:16.5392420Z inflating: build/lib/torch/ao/pruning/_experimental/pruner/match_utils.py 2024-08-20T21:38:16.5393423Z inflating: build/lib/torch/ao/pruning/_experimental/pruner/parametrization.py 2024-08-20T21:38:16.5394383Z inflating: build/lib/torch/ao/pruning/_experimental/pruner/prune_functions.py 2024-08-20T21:38:16.5395363Z inflating: build/lib/torch/ao/pruning/_experimental/pruner/saliency_pruner.py 2024-08-20T21:38:16.5396148Z creating: build/lib/torch/ao/pruning/scheduler/ 2024-08-20T21:38:16.5396758Z extracting: build/lib/torch/ao/pruning/scheduler/__init__.py 2024-08-20T21:38:16.5397572Z inflating: build/lib/torch/ao/pruning/scheduler/base_scheduler.py 2024-08-20T21:38:16.5398412Z inflating: build/lib/torch/ao/pruning/scheduler/cubic_scheduler.py 2024-08-20T21:38:16.5399238Z inflating: build/lib/torch/ao/pruning/scheduler/lambda_scheduler.py 2024-08-20T21:38:16.5399948Z creating: build/lib/torch/ao/pruning/sparsifier/ 2024-08-20T21:38:16.5400551Z extracting: build/lib/torch/ao/pruning/sparsifier/__init__.py 2024-08-20T21:38:16.5401389Z inflating: build/lib/torch/ao/pruning/sparsifier/base_sparsifier.py 2024-08-20T21:38:16.5402258Z inflating: build/lib/torch/ao/pruning/sparsifier/nearly_diagonal_sparsifier.py 2024-08-20T21:38:16.5403051Z inflating: build/lib/torch/ao/pruning/sparsifier/utils.py 2024-08-20T21:38:16.5403822Z inflating: build/lib/torch/ao/pruning/sparsifier/weight_norm_sparsifier.py 2024-08-20T21:38:16.5404556Z creating: build/lib/torch/ao/quantization/ 2024-08-20T21:38:16.5405098Z inflating: build/lib/torch/ao/quantization/__init__.py 2024-08-20T21:38:16.5405723Z inflating: build/lib/torch/ao/quantization/_correct_bias.py 2024-08-20T21:38:16.5406416Z inflating: build/lib/torch/ao/quantization/_equalize.py 2024-08-20T21:38:16.5407134Z inflating: build/lib/torch/ao/quantization/_learnable_fake_quantize.py 2024-08-20T21:38:16.5408064Z inflating: build/lib/torch/ao/quantization/fake_quantize.py 2024-08-20T21:38:16.5408738Z inflating: build/lib/torch/ao/quantization/fuse_modules.py 2024-08-20T21:38:16.5409496Z inflating: build/lib/torch/ao/quantization/fuser_method_mappings.py 2024-08-20T21:38:16.5410188Z inflating: build/lib/torch/ao/quantization/observer.py 2024-08-20T21:38:16.5410788Z inflating: build/lib/torch/ao/quantization/qconfig.py 2024-08-20T21:38:16.5411442Z inflating: build/lib/torch/ao/quantization/qconfig_mapping.py 2024-08-20T21:38:16.5412140Z inflating: build/lib/torch/ao/quantization/quant_type.py 2024-08-20T21:38:16.5412852Z inflating: build/lib/torch/ao/quantization/quantization_mappings.py 2024-08-20T21:38:16.5413561Z inflating: build/lib/torch/ao/quantization/quantize.py 2024-08-20T21:38:16.5414527Z inflating: build/lib/torch/ao/quantization/quantize_fx.py 2024-08-20T21:38:16.5415819Z inflating: build/lib/torch/ao/quantization/quantize_jit.py 2024-08-20T21:38:16.5416971Z inflating: build/lib/torch/ao/quantization/quantize_pt2e.py 2024-08-20T21:38:16.5417980Z inflating: build/lib/torch/ao/quantization/stubs.py 2024-08-20T21:38:16.5419957Z inflating: build/lib/torch/ao/quantization/utils.py 2024-08-20T21:38:16.5421067Z creating: build/lib/torch/ao/quantization/backend_config/ 2024-08-20T21:38:16.5421780Z inflating: build/lib/torch/ao/quantization/backend_config/__init__.py 2024-08-20T21:38:16.5423395Z inflating: build/lib/torch/ao/quantization/backend_config/_common_operator_config_utils.py 2024-08-20T21:38:16.5424651Z inflating: build/lib/torch/ao/quantization/backend_config/_qnnpack_pt2e.py 2024-08-20T21:38:16.5426342Z inflating: build/lib/torch/ao/quantization/backend_config/backend_config.py 2024-08-20T21:38:16.5428192Z inflating: build/lib/torch/ao/quantization/backend_config/executorch.py 2024-08-20T21:38:16.5429643Z inflating: build/lib/torch/ao/quantization/backend_config/fbgemm.py 2024-08-20T21:38:16.5430840Z inflating: build/lib/torch/ao/quantization/backend_config/native.py 2024-08-20T21:38:16.5432170Z extracting: build/lib/torch/ao/quantization/backend_config/observation_type.py 2024-08-20T21:38:16.5433576Z inflating: build/lib/torch/ao/quantization/backend_config/onednn.py 2024-08-20T21:38:16.5434421Z inflating: build/lib/torch/ao/quantization/backend_config/qnnpack.py 2024-08-20T21:38:16.5435894Z inflating: build/lib/torch/ao/quantization/backend_config/tensorrt.py 2024-08-20T21:38:16.5437001Z inflating: build/lib/torch/ao/quantization/backend_config/utils.py 2024-08-20T21:38:16.5437748Z inflating: build/lib/torch/ao/quantization/backend_config/x86.py 2024-08-20T21:38:16.5438356Z creating: build/lib/torch/ao/quantization/fx/ 2024-08-20T21:38:16.5439329Z inflating: build/lib/torch/ao/quantization/fx/__init__.py 2024-08-20T21:38:16.5439996Z inflating: build/lib/torch/ao/quantization/fx/_decomposed.py 2024-08-20T21:38:16.5441896Z inflating: build/lib/torch/ao/quantization/fx/_equalize.py 2024-08-20T21:38:16.5445611Z inflating: build/lib/torch/ao/quantization/fx/_lower_to_native_backend.py 2024-08-20T21:38:16.5449618Z inflating: build/lib/torch/ao/quantization/fx/convert.py 2024-08-20T21:38:16.5451040Z inflating: build/lib/torch/ao/quantization/fx/custom_config.py 2024-08-20T21:38:16.5452340Z inflating: build/lib/torch/ao/quantization/fx/fuse.py 2024-08-20T21:38:16.5453509Z inflating: build/lib/torch/ao/quantization/fx/fuse_handler.py 2024-08-20T21:38:16.5454655Z inflating: build/lib/torch/ao/quantization/fx/graph_module.py 2024-08-20T21:38:16.5455773Z inflating: build/lib/torch/ao/quantization/fx/lower_to_fbgemm.py 2024-08-20T21:38:16.5456970Z inflating: build/lib/torch/ao/quantization/fx/lower_to_qnnpack.py 2024-08-20T21:38:16.5458320Z inflating: build/lib/torch/ao/quantization/fx/lstm_utils.py 2024-08-20T21:38:16.5459060Z inflating: build/lib/torch/ao/quantization/fx/match_utils.py 2024-08-20T21:38:16.5459808Z inflating: build/lib/torch/ao/quantization/fx/pattern_utils.py 2024-08-20T21:38:16.5464337Z inflating: build/lib/torch/ao/quantization/fx/prepare.py 2024-08-20T21:38:16.5465934Z inflating: build/lib/torch/ao/quantization/fx/qconfig_mapping_utils.py 2024-08-20T21:38:16.5467209Z inflating: build/lib/torch/ao/quantization/fx/quantize_handler.py 2024-08-20T21:38:16.5468115Z inflating: build/lib/torch/ao/quantization/fx/tracer.py 2024-08-20T21:38:16.5470292Z inflating: build/lib/torch/ao/quantization/fx/utils.py 2024-08-20T21:38:16.5471374Z creating: build/lib/torch/ao/quantization/fx/_model_report/ 2024-08-20T21:38:16.5472122Z extracting: build/lib/torch/ao/quantization/fx/_model_report/__init__.py 2024-08-20T21:38:16.5476398Z inflating: build/lib/torch/ao/quantization/fx/_model_report/detector.py 2024-08-20T21:38:16.5478874Z inflating: build/lib/torch/ao/quantization/fx/_model_report/model_report.py 2024-08-20T21:38:16.5480257Z inflating: build/lib/torch/ao/quantization/fx/_model_report/model_report_observer.py 2024-08-20T21:38:16.5482807Z inflating: build/lib/torch/ao/quantization/fx/_model_report/model_report_visualizer.py 2024-08-20T21:38:16.5484088Z creating: build/lib/torch/ao/quantization/pt2e/ 2024-08-20T21:38:16.5485140Z extracting: build/lib/torch/ao/quantization/pt2e/__init__.py 2024-08-20T21:38:16.5486088Z inflating: build/lib/torch/ao/quantization/pt2e/_numeric_debugger.py 2024-08-20T21:38:16.5487362Z inflating: build/lib/torch/ao/quantization/pt2e/duplicate_dq_pass.py 2024-08-20T21:38:16.5488531Z inflating: build/lib/torch/ao/quantization/pt2e/export_utils.py 2024-08-20T21:38:16.5489258Z inflating: build/lib/torch/ao/quantization/pt2e/graph_utils.py 2024-08-20T21:38:16.5490411Z inflating: build/lib/torch/ao/quantization/pt2e/port_metadata_pass.py 2024-08-20T21:38:16.5491152Z inflating: build/lib/torch/ao/quantization/pt2e/prepare.py 2024-08-20T21:38:16.5492985Z inflating: build/lib/torch/ao/quantization/pt2e/qat_utils.py 2024-08-20T21:38:16.5494925Z inflating: build/lib/torch/ao/quantization/pt2e/utils.py 2024-08-20T21:38:16.5496057Z creating: build/lib/torch/ao/quantization/pt2e/representation/ 2024-08-20T21:38:16.5496865Z inflating: build/lib/torch/ao/quantization/pt2e/representation/__init__.py 2024-08-20T21:38:16.5498318Z inflating: build/lib/torch/ao/quantization/pt2e/representation/rewrite.py 2024-08-20T21:38:16.5499695Z creating: build/lib/torch/ao/quantization/quantizer/ 2024-08-20T21:38:16.5500878Z inflating: build/lib/torch/ao/quantization/quantizer/__init__.py 2024-08-20T21:38:16.5502332Z inflating: build/lib/torch/ao/quantization/quantizer/composable_quantizer.py 2024-08-20T21:38:16.5503257Z inflating: build/lib/torch/ao/quantization/quantizer/embedding_quantizer.py 2024-08-20T21:38:16.5504077Z inflating: build/lib/torch/ao/quantization/quantizer/quantizer.py 2024-08-20T21:38:16.5504810Z inflating: build/lib/torch/ao/quantization/quantizer/utils.py 2024-08-20T21:38:16.5506328Z inflating: build/lib/torch/ao/quantization/quantizer/x86_inductor_quantizer.py 2024-08-20T21:38:16.5507709Z inflating: build/lib/torch/ao/quantization/quantizer/xnnpack_quantizer.py 2024-08-20T21:38:16.5510775Z inflating: build/lib/torch/ao/quantization/quantizer/xnnpack_quantizer_utils.py 2024-08-20T21:38:16.5511508Z creating: build/lib/torch/autograd/ 2024-08-20T21:38:16.5512574Z inflating: build/lib/torch/autograd/__init__.py 2024-08-20T21:38:16.5513618Z inflating: build/lib/torch/autograd/anomaly_mode.py 2024-08-20T21:38:16.5514460Z inflating: build/lib/torch/autograd/forward_ad.py 2024-08-20T21:38:16.5517089Z inflating: build/lib/torch/autograd/function.py 2024-08-20T21:38:16.5520728Z inflating: build/lib/torch/autograd/functional.py 2024-08-20T21:38:16.5521881Z inflating: build/lib/torch/autograd/grad_mode.py 2024-08-20T21:38:16.5528580Z inflating: build/lib/torch/autograd/gradcheck.py 2024-08-20T21:38:16.5531046Z inflating: build/lib/torch/autograd/graph.py 2024-08-20T21:38:16.5534725Z inflating: build/lib/torch/autograd/profiler.py 2024-08-20T21:38:16.5536130Z inflating: build/lib/torch/autograd/profiler_legacy.py 2024-08-20T21:38:16.5539324Z inflating: build/lib/torch/autograd/profiler_util.py 2024-08-20T21:38:16.5540451Z inflating: build/lib/torch/autograd/variable.py 2024-08-20T21:38:16.5541365Z creating: build/lib/torch/autograd/_functions/ 2024-08-20T21:38:16.5542428Z extracting: build/lib/torch/autograd/_functions/__init__.py 2024-08-20T21:38:16.5543734Z inflating: build/lib/torch/autograd/_functions/tensor.py 2024-08-20T21:38:16.5544812Z inflating: build/lib/torch/autograd/_functions/utils.py 2024-08-20T21:38:16.5545633Z creating: build/lib/torch/backends/ 2024-08-20T21:38:16.5546209Z inflating: build/lib/torch/backends/__init__.py 2024-08-20T21:38:16.5546704Z creating: build/lib/torch/backends/_coreml/ 2024-08-20T21:38:16.5547251Z extracting: build/lib/torch/backends/_coreml/__init__.py 2024-08-20T21:38:16.5547890Z inflating: build/lib/torch/backends/_coreml/preprocess.py 2024-08-20T21:38:16.5548453Z creating: build/lib/torch/backends/_nnapi/ 2024-08-20T21:38:16.5549001Z extracting: build/lib/torch/backends/_nnapi/__init__.py 2024-08-20T21:38:16.5549604Z inflating: build/lib/torch/backends/_nnapi/prepare.py 2024-08-20T21:38:16.5550823Z inflating: build/lib/torch/backends/_nnapi/serializer.py 2024-08-20T21:38:16.5551821Z creating: build/lib/torch/backends/cpu/ 2024-08-20T21:38:16.5552458Z inflating: build/lib/torch/backends/cpu/__init__.py 2024-08-20T21:38:16.5552975Z creating: build/lib/torch/backends/cuda/ 2024-08-20T21:38:16.5553723Z inflating: build/lib/torch/backends/cuda/__init__.py 2024-08-20T21:38:16.5554490Z creating: build/lib/torch/backends/cudnn/ 2024-08-20T21:38:16.5555479Z inflating: build/lib/torch/backends/cudnn/__init__.py 2024-08-20T21:38:16.5556517Z inflating: build/lib/torch/backends/cudnn/rnn.py 2024-08-20T21:38:16.5557448Z creating: build/lib/torch/backends/mha/ 2024-08-20T21:38:16.5558381Z inflating: build/lib/torch/backends/mha/__init__.py 2024-08-20T21:38:16.5559291Z creating: build/lib/torch/backends/mkl/ 2024-08-20T21:38:16.5560233Z inflating: build/lib/torch/backends/mkl/__init__.py 2024-08-20T21:38:16.5561208Z creating: build/lib/torch/backends/mkldnn/ 2024-08-20T21:38:16.5562217Z inflating: build/lib/torch/backends/mkldnn/__init__.py 2024-08-20T21:38:16.5563159Z creating: build/lib/torch/backends/mps/ 2024-08-20T21:38:16.5563670Z inflating: build/lib/torch/backends/mps/__init__.py 2024-08-20T21:38:16.5564197Z creating: build/lib/torch/backends/nnpack/ 2024-08-20T21:38:16.5564719Z inflating: build/lib/torch/backends/nnpack/__init__.py 2024-08-20T21:38:16.5565263Z creating: build/lib/torch/backends/openmp/ 2024-08-20T21:38:16.5566207Z inflating: build/lib/torch/backends/openmp/__init__.py 2024-08-20T21:38:16.5567139Z creating: build/lib/torch/backends/opt_einsum/ 2024-08-20T21:38:16.5567774Z inflating: build/lib/torch/backends/opt_einsum/__init__.py 2024-08-20T21:38:16.5568849Z creating: build/lib/torch/backends/quantized/ 2024-08-20T21:38:16.5570008Z inflating: build/lib/torch/backends/quantized/__init__.py 2024-08-20T21:38:16.5571041Z creating: build/lib/torch/backends/xeon/ 2024-08-20T21:38:16.5572025Z extracting: build/lib/torch/backends/xeon/__init__.py 2024-08-20T21:38:16.5572947Z inflating: build/lib/torch/backends/xeon/run_cpu.py 2024-08-20T21:38:16.5573480Z creating: build/lib/torch/backends/xnnpack/ 2024-08-20T21:38:16.5574027Z inflating: build/lib/torch/backends/xnnpack/__init__.py 2024-08-20T21:38:16.5574553Z creating: build/lib/torch/compiler/ 2024-08-20T21:38:16.5575008Z inflating: build/lib/torch/compiler/__init__.py 2024-08-20T21:38:16.5575489Z creating: build/lib/torch/contrib/ 2024-08-20T21:38:16.5576008Z extracting: build/lib/torch/contrib/__init__.py 2024-08-20T21:38:16.5577061Z inflating: build/lib/torch/contrib/_tensorboard_vis.py 2024-08-20T21:38:16.5577618Z creating: build/lib/torch/cpu/ 2024-08-20T21:38:16.5578114Z inflating: build/lib/torch/cpu/__init__.py 2024-08-20T21:38:16.5578560Z creating: build/lib/torch/cpu/amp/ 2024-08-20T21:38:16.5579375Z inflating: build/lib/torch/cpu/amp/__init__.py 2024-08-20T21:38:16.5580066Z inflating: build/lib/torch/cpu/amp/autocast_mode.py 2024-08-20T21:38:16.5580681Z inflating: build/lib/torch/cpu/amp/grad_scaler.py 2024-08-20T21:38:16.5581573Z creating: build/lib/torch/cuda/ 2024-08-20T21:38:16.5582385Z inflating: build/lib/torch/cuda/__init__.py 2024-08-20T21:38:16.5583339Z inflating: build/lib/torch/cuda/_gpu_trace.py 2024-08-20T21:38:16.5583863Z inflating: build/lib/torch/cuda/_memory_viz.py 2024-08-20T21:38:16.5584389Z inflating: build/lib/torch/cuda/_sanitizer.py 2024-08-20T21:38:16.5585238Z inflating: build/lib/torch/cuda/_utils.py 2024-08-20T21:38:16.5585969Z inflating: build/lib/torch/cuda/comm.py 2024-08-20T21:38:16.5586622Z extracting: build/lib/torch/cuda/error.py 2024-08-20T21:38:16.5587082Z inflating: build/lib/torch/cuda/gds.py 2024-08-20T21:38:16.5587558Z inflating: build/lib/torch/cuda/graphs.py 2024-08-20T21:38:16.5588054Z inflating: build/lib/torch/cuda/jiterator.py 2024-08-20T21:38:16.5588993Z inflating: build/lib/torch/cuda/memory.py 2024-08-20T21:38:16.5589859Z inflating: build/lib/torch/cuda/nccl.py 2024-08-20T21:38:16.5590707Z inflating: build/lib/torch/cuda/nvtx.py 2024-08-20T21:38:16.5591536Z inflating: build/lib/torch/cuda/profiler.py 2024-08-20T21:38:16.5592420Z inflating: build/lib/torch/cuda/random.py 2024-08-20T21:38:16.5593074Z inflating: build/lib/torch/cuda/sparse.py 2024-08-20T21:38:16.5593898Z inflating: build/lib/torch/cuda/streams.py 2024-08-20T21:38:16.5594571Z inflating: build/lib/torch/cuda/tunable.py 2024-08-20T21:38:16.5595413Z creating: build/lib/torch/cuda/amp/ 2024-08-20T21:38:16.5596260Z inflating: build/lib/torch/cuda/amp/__init__.py 2024-08-20T21:38:16.5597304Z inflating: build/lib/torch/cuda/amp/autocast_mode.py 2024-08-20T21:38:16.5598220Z inflating: build/lib/torch/cuda/amp/common.py 2024-08-20T21:38:16.5599221Z inflating: build/lib/torch/cuda/amp/grad_scaler.py 2024-08-20T21:38:16.5599729Z creating: build/lib/torch/distributed/ 2024-08-20T21:38:16.5600217Z inflating: build/lib/torch/distributed/__init__.py 2024-08-20T21:38:16.5600824Z inflating: build/lib/torch/distributed/_checkpointable.py 2024-08-20T21:38:16.5601493Z inflating: build/lib/torch/distributed/_composable_state.py 2024-08-20T21:38:16.5602803Z inflating: build/lib/torch/distributed/_functional_collectives.py 2024-08-20T21:38:16.5603605Z inflating: build/lib/torch/distributed/_functional_collectives_impl.py 2024-08-20T21:38:16.5604697Z inflating: build/lib/torch/distributed/_state_dict_utils.py 2024-08-20T21:38:16.5605879Z inflating: build/lib/torch/distributed/argparse_util.py 2024-08-20T21:38:16.5606781Z inflating: build/lib/torch/distributed/c10d_logger.py 2024-08-20T21:38:16.5607957Z inflating: build/lib/torch/distributed/collective_utils.py 2024-08-20T21:38:16.5608657Z inflating: build/lib/torch/distributed/constants.py 2024-08-20T21:38:16.5610820Z inflating: build/lib/torch/distributed/device_mesh.py 2024-08-20T21:38:16.5623260Z inflating: build/lib/torch/distributed/distributed_c10d.py 2024-08-20T21:38:16.5624236Z inflating: build/lib/torch/distributed/launch.py 2024-08-20T21:38:16.5625361Z inflating: build/lib/torch/distributed/logging_handlers.py 2024-08-20T21:38:16.5626372Z inflating: build/lib/torch/distributed/remote_device.py 2024-08-20T21:38:16.5627378Z inflating: build/lib/torch/distributed/rendezvous.py 2024-08-20T21:38:16.5629695Z inflating: build/lib/torch/distributed/run.py 2024-08-20T21:38:16.5631515Z inflating: build/lib/torch/distributed/utils.py 2024-08-20T21:38:16.5632532Z creating: build/lib/torch/distributed/_composable/ 2024-08-20T21:38:16.5633565Z inflating: build/lib/torch/distributed/_composable/__init__.py 2024-08-20T21:38:16.5635159Z inflating: build/lib/torch/distributed/_composable/checkpoint_activation.py 2024-08-20T21:38:16.5636350Z inflating: build/lib/torch/distributed/_composable/contract.py 2024-08-20T21:38:16.5637727Z inflating: build/lib/torch/distributed/_composable/fully_shard.py 2024-08-20T21:38:16.5638559Z inflating: build/lib/torch/distributed/_composable/replicate.py 2024-08-20T21:38:16.5639386Z creating: build/lib/torch/distributed/_composable/fsdp/ 2024-08-20T21:38:16.5640640Z inflating: build/lib/torch/distributed/_composable/fsdp/__init__.py 2024-08-20T21:38:16.5641856Z inflating: build/lib/torch/distributed/_composable/fsdp/_fsdp_api.py 2024-08-20T21:38:16.5642738Z inflating: build/lib/torch/distributed/_composable/fsdp/_fsdp_collectives.py 2024-08-20T21:38:16.5643580Z inflating: build/lib/torch/distributed/_composable/fsdp/_fsdp_common.py 2024-08-20T21:38:16.5644641Z inflating: build/lib/torch/distributed/_composable/fsdp/_fsdp_init.py 2024-08-20T21:38:16.5645605Z inflating: build/lib/torch/distributed/_composable/fsdp/_fsdp_param.py 2024-08-20T21:38:16.5647088Z inflating: build/lib/torch/distributed/_composable/fsdp/_fsdp_param_group.py 2024-08-20T21:38:16.5648570Z inflating: build/lib/torch/distributed/_composable/fsdp/_fsdp_state.py 2024-08-20T21:38:16.5650602Z inflating: build/lib/torch/distributed/_composable/fsdp/fully_shard.py 2024-08-20T21:38:16.5651859Z creating: build/lib/torch/distributed/_shard/ 2024-08-20T21:38:16.5652464Z inflating: build/lib/torch/distributed/_shard/__init__.py 2024-08-20T21:38:16.5653622Z inflating: build/lib/torch/distributed/_shard/_utils.py 2024-08-20T21:38:16.5654762Z inflating: build/lib/torch/distributed/_shard/api.py 2024-08-20T21:38:16.5655958Z inflating: build/lib/torch/distributed/_shard/common_op_utils.py 2024-08-20T21:38:16.5657188Z inflating: build/lib/torch/distributed/_shard/metadata.py 2024-08-20T21:38:16.5658383Z inflating: build/lib/torch/distributed/_shard/op_registry_utils.py 2024-08-20T21:38:16.5659169Z inflating: build/lib/torch/distributed/_shard/sharder.py 2024-08-20T21:38:16.5660187Z creating: build/lib/torch/distributed/_shard/checkpoint/ 2024-08-20T21:38:16.5660884Z inflating: build/lib/torch/distributed/_shard/checkpoint/__init__.py 2024-08-20T21:38:16.5661599Z creating: build/lib/torch/distributed/_shard/sharded_optim/ 2024-08-20T21:38:16.5662316Z inflating: build/lib/torch/distributed/_shard/sharded_optim/__init__.py 2024-08-20T21:38:16.5663321Z inflating: build/lib/torch/distributed/_shard/sharded_optim/api.py 2024-08-20T21:38:16.5664635Z creating: build/lib/torch/distributed/_shard/sharded_tensor/ 2024-08-20T21:38:16.5665737Z inflating: build/lib/torch/distributed/_shard/sharded_tensor/__init__.py 2024-08-20T21:38:16.5667191Z inflating: build/lib/torch/distributed/_shard/sharded_tensor/api.py 2024-08-20T21:38:16.5668370Z inflating: build/lib/torch/distributed/_shard/sharded_tensor/logger.py 2024-08-20T21:38:16.5669989Z inflating: build/lib/torch/distributed/_shard/sharded_tensor/logging_handlers.py 2024-08-20T21:38:16.5671778Z inflating: build/lib/torch/distributed/_shard/sharded_tensor/metadata.py 2024-08-20T21:38:16.5673115Z inflating: build/lib/torch/distributed/_shard/sharded_tensor/reshard.py 2024-08-20T21:38:16.5674627Z inflating: build/lib/torch/distributed/_shard/sharded_tensor/shard.py 2024-08-20T21:38:16.5675858Z inflating: build/lib/torch/distributed/_shard/sharded_tensor/utils.py 2024-08-20T21:38:16.5676997Z creating: build/lib/torch/distributed/_shard/sharded_tensor/_ops/ 2024-08-20T21:38:16.5678256Z inflating: build/lib/torch/distributed/_shard/sharded_tensor/_ops/__init__.py 2024-08-20T21:38:16.5679531Z inflating: build/lib/torch/distributed/_shard/sharded_tensor/_ops/_common.py 2024-08-20T21:38:16.5680824Z inflating: build/lib/torch/distributed/_shard/sharded_tensor/_ops/binary_cmp.py 2024-08-20T21:38:16.5682093Z inflating: build/lib/torch/distributed/_shard/sharded_tensor/_ops/init.py 2024-08-20T21:38:16.5683214Z inflating: build/lib/torch/distributed/_shard/sharded_tensor/_ops/misc_ops.py 2024-08-20T21:38:16.5684859Z inflating: build/lib/torch/distributed/_shard/sharded_tensor/_ops/tensor_ops.py 2024-08-20T21:38:16.5685902Z creating: build/lib/torch/distributed/_shard/sharding_plan/ 2024-08-20T21:38:16.5686652Z inflating: build/lib/torch/distributed/_shard/sharding_plan/__init__.py 2024-08-20T21:38:16.5687590Z inflating: build/lib/torch/distributed/_shard/sharding_plan/api.py 2024-08-20T21:38:16.5688853Z creating: build/lib/torch/distributed/_shard/sharding_spec/ 2024-08-20T21:38:16.5689712Z inflating: build/lib/torch/distributed/_shard/sharding_spec/__init__.py 2024-08-20T21:38:16.5690820Z inflating: build/lib/torch/distributed/_shard/sharding_spec/_internals.py 2024-08-20T21:38:16.5692010Z inflating: build/lib/torch/distributed/_shard/sharding_spec/api.py 2024-08-20T21:38:16.5692861Z inflating: build/lib/torch/distributed/_shard/sharding_spec/chunk_sharding_spec.py 2024-08-20T21:38:16.5694197Z creating: build/lib/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/ 2024-08-20T21:38:16.5695609Z extracting: build/lib/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/__init__.py 2024-08-20T21:38:16.5697099Z inflating: build/lib/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/_common.py 2024-08-20T21:38:16.5714847Z inflating: build/lib/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/embedding.py 2024-08-20T21:38:16.5716793Z inflating: build/lib/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/embedding_bag.py 2024-08-20T21:38:16.5717665Z creating: build/lib/torch/distributed/_sharded_tensor/ 2024-08-20T21:38:16.5718346Z inflating: build/lib/torch/distributed/_sharded_tensor/__init__.py 2024-08-20T21:38:16.5719017Z creating: build/lib/torch/distributed/_sharding_spec/ 2024-08-20T21:38:16.5719662Z inflating: build/lib/torch/distributed/_sharding_spec/__init__.py 2024-08-20T21:38:16.5720349Z creating: build/lib/torch/distributed/_symmetric_memory/ 2024-08-20T21:38:16.5721077Z inflating: build/lib/torch/distributed/_symmetric_memory/__init__.py 2024-08-20T21:38:16.5721721Z creating: build/lib/torch/distributed/_tensor/ 2024-08-20T21:38:16.5722286Z inflating: build/lib/torch/distributed/_tensor/__init__.py 2024-08-20T21:38:16.5722994Z inflating: build/lib/torch/distributed/_tensor/_collective_utils.py 2024-08-20T21:38:16.5723718Z inflating: build/lib/torch/distributed/_tensor/_dispatch.py 2024-08-20T21:38:16.5724385Z inflating: build/lib/torch/distributed/_tensor/_op_schema.py 2024-08-20T21:38:16.5725095Z inflating: build/lib/torch/distributed/_tensor/_redistribute.py 2024-08-20T21:38:16.5726017Z inflating: build/lib/torch/distributed/_tensor/_sharding_prop.py 2024-08-20T21:38:16.5726747Z inflating: build/lib/torch/distributed/_tensor/_shards_wrapper.py 2024-08-20T21:38:16.5727439Z inflating: build/lib/torch/distributed/_tensor/_tp_conv.py 2024-08-20T21:38:16.5728082Z inflating: build/lib/torch/distributed/_tensor/_utils.py 2024-08-20T21:38:16.5728825Z inflating: build/lib/torch/distributed/_tensor/api.py 2024-08-20T21:38:16.5729471Z inflating: build/lib/torch/distributed/_tensor/device_mesh.py 2024-08-20T21:38:16.5730192Z inflating: build/lib/torch/distributed/_tensor/placement_types.py 2024-08-20T21:38:16.5730875Z inflating: build/lib/torch/distributed/_tensor/random.py 2024-08-20T21:38:16.5731466Z creating: build/lib/torch/distributed/_tensor/debug/ 2024-08-20T21:38:16.5732118Z inflating: build/lib/torch/distributed/_tensor/debug/__init__.py 2024-08-20T21:38:16.5732879Z inflating: build/lib/torch/distributed/_tensor/debug/_op_coverage.py 2024-08-20T21:38:16.5733627Z inflating: build/lib/torch/distributed/_tensor/debug/comm_mode.py 2024-08-20T21:38:16.5734420Z inflating: build/lib/torch/distributed/_tensor/debug/visualize_sharding.py 2024-08-20T21:38:16.5735199Z creating: build/lib/torch/distributed/_tensor/experimental/ 2024-08-20T21:38:16.5736009Z inflating: build/lib/torch/distributed/_tensor/experimental/__init__.py 2024-08-20T21:38:16.5736852Z inflating: build/lib/torch/distributed/_tensor/experimental/attention.py 2024-08-20T21:38:16.5737685Z inflating: build/lib/torch/distributed/_tensor/experimental/func_map.py 2024-08-20T21:38:16.5738554Z inflating: build/lib/torch/distributed/_tensor/experimental/register_sharding.py 2024-08-20T21:38:16.5739459Z inflating: build/lib/torch/distributed/_tensor/experimental/tp_transform.py 2024-08-20T21:38:16.5740256Z creating: build/lib/torch/distributed/_tensor/ops/ 2024-08-20T21:38:16.5740891Z inflating: build/lib/torch/distributed/_tensor/ops/__init__.py 2024-08-20T21:38:16.5741701Z inflating: build/lib/torch/distributed/_tensor/ops/_common_rules.py 2024-08-20T21:38:16.5742446Z inflating: build/lib/torch/distributed/_tensor/ops/_conv_ops.py 2024-08-20T21:38:16.5743210Z inflating: build/lib/torch/distributed/_tensor/ops/_einsum_strategy.py 2024-08-20T21:38:16.5744001Z inflating: build/lib/torch/distributed/_tensor/ops/_embedding_ops.py 2024-08-20T21:38:16.5744814Z inflating: build/lib/torch/distributed/_tensor/ops/_experimental_ops.py 2024-08-20T21:38:16.5745583Z inflating: build/lib/torch/distributed/_tensor/ops/_math_ops.py 2024-08-20T21:38:16.5746299Z inflating: build/lib/torch/distributed/_tensor/ops/_matrix_ops.py 2024-08-20T21:38:16.5747055Z inflating: build/lib/torch/distributed/_tensor/ops/_pointwise_ops.py 2024-08-20T21:38:16.5747812Z inflating: build/lib/torch/distributed/_tensor/ops/_random_ops.py 2024-08-20T21:38:16.5748548Z inflating: build/lib/torch/distributed/_tensor/ops/_tensor_ops.py 2024-08-20T21:38:16.5749253Z inflating: build/lib/torch/distributed/_tensor/ops/_view_ops.py 2024-08-20T21:38:16.5749961Z inflating: build/lib/torch/distributed/_tensor/ops/utils.py 2024-08-20T21:38:16.5750548Z creating: build/lib/torch/distributed/_tools/ 2024-08-20T21:38:16.5751117Z inflating: build/lib/torch/distributed/_tools/__init__.py 2024-08-20T21:38:16.5751817Z inflating: build/lib/torch/distributed/_tools/fsdp2_mem_tracker.py 2024-08-20T21:38:16.5752533Z inflating: build/lib/torch/distributed/_tools/mem_tracker.py 2024-08-20T21:38:16.5753222Z inflating: build/lib/torch/distributed/_tools/memory_tracker.py 2024-08-20T21:38:16.5753925Z inflating: build/lib/torch/distributed/_tools/mod_tracker.py 2024-08-20T21:38:16.5754538Z creating: build/lib/torch/distributed/algorithms/ 2024-08-20T21:38:16.5755144Z inflating: build/lib/torch/distributed/algorithms/__init__.py 2024-08-20T21:38:16.5755821Z inflating: build/lib/torch/distributed/algorithms/join.py 2024-08-20T21:38:16.5756487Z creating: build/lib/torch/distributed/algorithms/_checkpoint/ 2024-08-20T21:38:16.5757265Z extracting: build/lib/torch/distributed/algorithms/_checkpoint/__init__.py 2024-08-20T21:38:16.5758235Z inflating: build/lib/torch/distributed/algorithms/_checkpoint/checkpoint_wrapper.py 2024-08-20T21:38:16.5759086Z creating: build/lib/torch/distributed/algorithms/_comm_hooks/ 2024-08-20T21:38:16.5759939Z inflating: build/lib/torch/distributed/algorithms/_comm_hooks/__init__.py 2024-08-20T21:38:16.5760818Z inflating: build/lib/torch/distributed/algorithms/_comm_hooks/default_hooks.py 2024-08-20T21:38:16.5761706Z creating: build/lib/torch/distributed/algorithms/_optimizer_overlap/ 2024-08-20T21:38:16.5762568Z inflating: build/lib/torch/distributed/algorithms/_optimizer_overlap/__init__.py 2024-08-20T21:38:16.5763571Z inflating: build/lib/torch/distributed/algorithms/_optimizer_overlap/optimizer_overlap.py 2024-08-20T21:38:16.5764449Z creating: build/lib/torch/distributed/algorithms/_quantization/ 2024-08-20T21:38:16.5765258Z extracting: build/lib/torch/distributed/algorithms/_quantization/__init__.py 2024-08-20T21:38:16.5766180Z inflating: build/lib/torch/distributed/algorithms/_quantization/quantization.py 2024-08-20T21:38:16.5767072Z creating: build/lib/torch/distributed/algorithms/ddp_comm_hooks/ 2024-08-20T21:38:16.5767889Z inflating: build/lib/torch/distributed/algorithms/ddp_comm_hooks/__init__.py 2024-08-20T21:38:16.5768833Z inflating: build/lib/torch/distributed/algorithms/ddp_comm_hooks/ddp_zero_hook.py 2024-08-20T21:38:16.5769794Z inflating: build/lib/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py 2024-08-20T21:38:16.5770776Z inflating: build/lib/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py 2024-08-20T21:38:16.5771787Z inflating: build/lib/torch/distributed/algorithms/ddp_comm_hooks/mixed_precision_hooks.py 2024-08-20T21:38:16.5772858Z inflating: build/lib/torch/distributed/algorithms/ddp_comm_hooks/optimizer_overlap_hooks.py 2024-08-20T21:38:16.5773900Z inflating: build/lib/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py 2024-08-20T21:38:16.5774893Z inflating: build/lib/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py 2024-08-20T21:38:16.5775888Z inflating: build/lib/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py 2024-08-20T21:38:16.5776766Z creating: build/lib/torch/distributed/algorithms/model_averaging/ 2024-08-20T21:38:16.5777604Z extracting: build/lib/torch/distributed/algorithms/model_averaging/__init__.py 2024-08-20T21:38:16.5778543Z inflating: build/lib/torch/distributed/algorithms/model_averaging/averagers.py 2024-08-20T21:38:16.5779591Z inflating: build/lib/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py 2024-08-20T21:38:16.5780691Z inflating: build/lib/torch/distributed/algorithms/model_averaging/utils.py 2024-08-20T21:38:16.5781394Z creating: build/lib/torch/distributed/autograd/ 2024-08-20T21:38:16.5782017Z inflating: build/lib/torch/distributed/autograd/__init__.py 2024-08-20T21:38:16.5782622Z creating: build/lib/torch/distributed/checkpoint/ 2024-08-20T21:38:16.5783319Z inflating: build/lib/torch/distributed/checkpoint/__init__.py 2024-08-20T21:38:16.5784110Z inflating: build/lib/torch/distributed/checkpoint/_checkpointer.py 2024-08-20T21:38:16.5784956Z inflating: build/lib/torch/distributed/checkpoint/_dedup_save_plans.py 2024-08-20T21:38:16.5785764Z inflating: build/lib/torch/distributed/checkpoint/_dedup_tensors.py 2024-08-20T21:38:16.5786639Z inflating: build/lib/torch/distributed/checkpoint/_fsspec_filesystem.py 2024-08-20T21:38:16.5787444Z inflating: build/lib/torch/distributed/checkpoint/_nested_dict.py 2024-08-20T21:38:16.5788245Z inflating: build/lib/torch/distributed/checkpoint/_sharded_tensor_utils.py 2024-08-20T21:38:16.5789115Z inflating: build/lib/torch/distributed/checkpoint/_storage_utils.py 2024-08-20T21:38:16.5789866Z inflating: build/lib/torch/distributed/checkpoint/_traverse.py 2024-08-20T21:38:16.5790583Z inflating: build/lib/torch/distributed/checkpoint/api.py 2024-08-20T21:38:16.5791380Z inflating: build/lib/torch/distributed/checkpoint/default_planner.py 2024-08-20T21:38:16.5792167Z inflating: build/lib/torch/distributed/checkpoint/filesystem.py 2024-08-20T21:38:16.5793052Z inflating: build/lib/torch/distributed/checkpoint/format_utils.py 2024-08-20T21:38:16.5793760Z inflating: build/lib/torch/distributed/checkpoint/logger.py 2024-08-20T21:38:16.5794566Z inflating: build/lib/torch/distributed/checkpoint/logging_handlers.py 2024-08-20T21:38:16.5795324Z inflating: build/lib/torch/distributed/checkpoint/metadata.py 2024-08-20T21:38:16.5796072Z inflating: build/lib/torch/distributed/checkpoint/optimizer.py 2024-08-20T21:38:16.5796786Z inflating: build/lib/torch/distributed/checkpoint/planner.py 2024-08-20T21:38:16.5797586Z inflating: build/lib/torch/distributed/checkpoint/planner_helpers.py 2024-08-20T21:38:16.5798402Z inflating: build/lib/torch/distributed/checkpoint/resharding.py 2024-08-20T21:38:16.5799170Z inflating: build/lib/torch/distributed/checkpoint/staging.py 2024-08-20T21:38:16.5802785Z inflating: build/lib/torch/distributed/checkpoint/state_dict.py 2024-08-20T21:38:16.5804245Z inflating: build/lib/torch/distributed/checkpoint/state_dict_loader.py 2024-08-20T21:38:16.5805613Z inflating: build/lib/torch/distributed/checkpoint/state_dict_saver.py 2024-08-20T21:38:16.5806437Z inflating: build/lib/torch/distributed/checkpoint/stateful.py 2024-08-20T21:38:16.5807392Z inflating: build/lib/torch/distributed/checkpoint/storage.py 2024-08-20T21:38:16.5809060Z inflating: build/lib/torch/distributed/checkpoint/utils.py 2024-08-20T21:38:16.5809657Z creating: build/lib/torch/distributed/elastic/ 2024-08-20T21:38:16.5810526Z inflating: build/lib/torch/distributed/elastic/__init__.py 2024-08-20T21:38:16.5811270Z inflating: build/lib/torch/distributed/elastic/control_plane.py 2024-08-20T21:38:16.5811924Z creating: build/lib/torch/distributed/elastic/agent/ 2024-08-20T21:38:16.5812599Z extracting: build/lib/torch/distributed/elastic/agent/__init__.py 2024-08-20T21:38:16.5813303Z creating: build/lib/torch/distributed/elastic/agent/server/ 2024-08-20T21:38:16.5814109Z inflating: build/lib/torch/distributed/elastic/agent/server/__init__.py 2024-08-20T21:38:16.5815948Z inflating: build/lib/torch/distributed/elastic/agent/server/api.py 2024-08-20T21:38:16.5816837Z inflating: build/lib/torch/distributed/elastic/agent/server/health_check_server.py 2024-08-20T21:38:16.5818562Z inflating: build/lib/torch/distributed/elastic/agent/server/local_elastic_agent.py 2024-08-20T21:38:16.5819352Z creating: build/lib/torch/distributed/elastic/events/ 2024-08-20T21:38:16.5820094Z inflating: build/lib/torch/distributed/elastic/events/__init__.py 2024-08-20T21:38:16.5820828Z inflating: build/lib/torch/distributed/elastic/events/api.py 2024-08-20T21:38:16.5821560Z inflating: build/lib/torch/distributed/elastic/events/handlers.py 2024-08-20T21:38:16.5822219Z creating: build/lib/torch/distributed/elastic/metrics/ 2024-08-20T21:38:16.5822903Z inflating: build/lib/torch/distributed/elastic/metrics/__init__.py 2024-08-20T21:38:16.5823799Z inflating: build/lib/torch/distributed/elastic/metrics/api.py 2024-08-20T21:38:16.5824524Z creating: build/lib/torch/distributed/elastic/multiprocessing/ 2024-08-20T21:38:16.5825352Z inflating: build/lib/torch/distributed/elastic/multiprocessing/__init__.py 2024-08-20T21:38:16.5828979Z inflating: build/lib/torch/distributed/elastic/multiprocessing/api.py 2024-08-20T21:38:16.5829968Z inflating: build/lib/torch/distributed/elastic/multiprocessing/redirects.py 2024-08-20T21:38:16.5831030Z inflating: build/lib/torch/distributed/elastic/multiprocessing/tail_log.py 2024-08-20T21:38:16.5831895Z creating: build/lib/torch/distributed/elastic/multiprocessing/errors/ 2024-08-20T21:38:16.5832922Z inflating: build/lib/torch/distributed/elastic/multiprocessing/errors/__init__.py 2024-08-20T21:38:16.5834034Z inflating: build/lib/torch/distributed/elastic/multiprocessing/errors/error_handler.py 2024-08-20T21:38:16.5835157Z inflating: build/lib/torch/distributed/elastic/multiprocessing/errors/handlers.py 2024-08-20T21:38:16.5836569Z creating: build/lib/torch/distributed/elastic/multiprocessing/subprocess_handler/ 2024-08-20T21:38:16.5837725Z inflating: build/lib/torch/distributed/elastic/multiprocessing/subprocess_handler/__init__.py 2024-08-20T21:38:16.5838915Z inflating: build/lib/torch/distributed/elastic/multiprocessing/subprocess_handler/handlers.py 2024-08-20T21:38:16.5840172Z inflating: build/lib/torch/distributed/elastic/multiprocessing/subprocess_handler/subprocess_handler.py 2024-08-20T21:38:16.5841223Z creating: build/lib/torch/distributed/elastic/rendezvous/ 2024-08-20T21:38:16.5841958Z inflating: build/lib/torch/distributed/elastic/rendezvous/__init__.py 2024-08-20T21:38:16.5842848Z inflating: build/lib/torch/distributed/elastic/rendezvous/api.py 2024-08-20T21:38:16.5843727Z inflating: build/lib/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py 2024-08-20T21:38:16.5845085Z inflating: build/lib/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py 2024-08-20T21:38:16.5848590Z inflating: build/lib/torch/distributed/elastic/rendezvous/etcd_rendezvous.py 2024-08-20T21:38:16.5849652Z inflating: build/lib/torch/distributed/elastic/rendezvous/etcd_rendezvous_backend.py 2024-08-20T21:38:16.5850815Z inflating: build/lib/torch/distributed/elastic/rendezvous/etcd_server.py 2024-08-20T21:38:16.5852111Z inflating: build/lib/torch/distributed/elastic/rendezvous/etcd_store.py 2024-08-20T21:38:16.5853008Z inflating: build/lib/torch/distributed/elastic/rendezvous/registry.py 2024-08-20T21:38:16.5853953Z inflating: build/lib/torch/distributed/elastic/rendezvous/static_tcp_rendezvous.py 2024-08-20T21:38:16.5854997Z inflating: build/lib/torch/distributed/elastic/rendezvous/utils.py 2024-08-20T21:38:16.5855679Z creating: build/lib/torch/distributed/elastic/timer/ 2024-08-20T21:38:16.5856383Z inflating: build/lib/torch/distributed/elastic/timer/__init__.py 2024-08-20T21:38:16.5857289Z inflating: build/lib/torch/distributed/elastic/timer/api.py 2024-08-20T21:38:16.5858114Z inflating: build/lib/torch/distributed/elastic/timer/debug_info_logging.py 2024-08-20T21:38:16.5859570Z inflating: build/lib/torch/distributed/elastic/timer/file_based_local_timer.py 2024-08-20T21:38:16.5860647Z inflating: build/lib/torch/distributed/elastic/timer/local_timer.py 2024-08-20T21:38:16.5861370Z creating: build/lib/torch/distributed/elastic/utils/ 2024-08-20T21:38:16.5862058Z inflating: build/lib/torch/distributed/elastic/utils/__init__.py 2024-08-20T21:38:16.5862775Z inflating: build/lib/torch/distributed/elastic/utils/api.py 2024-08-20T21:38:16.5863594Z inflating: build/lib/torch/distributed/elastic/utils/distributed.py 2024-08-20T21:38:16.5864417Z inflating: build/lib/torch/distributed/elastic/utils/log_level.py 2024-08-20T21:38:16.5865150Z inflating: build/lib/torch/distributed/elastic/utils/logging.py 2024-08-20T21:38:16.5865948Z inflating: build/lib/torch/distributed/elastic/utils/store.py 2024-08-20T21:38:16.5866668Z creating: build/lib/torch/distributed/elastic/utils/data/ 2024-08-20T21:38:16.5867417Z inflating: build/lib/torch/distributed/elastic/utils/data/__init__.py 2024-08-20T21:38:16.5868374Z inflating: build/lib/torch/distributed/elastic/utils/data/cycling_iterator.py 2024-08-20T21:38:16.5869406Z inflating: build/lib/torch/distributed/elastic/utils/data/elastic_distributed_sampler.py 2024-08-20T21:38:16.5870198Z creating: build/lib/torch/distributed/fsdp/ 2024-08-20T21:38:16.5870740Z inflating: build/lib/torch/distributed/fsdp/__init__.py 2024-08-20T21:38:16.5871568Z inflating: build/lib/torch/distributed/fsdp/_common_utils.py 2024-08-20T21:38:16.5872337Z inflating: build/lib/torch/distributed/fsdp/_debug_utils.py 2024-08-20T21:38:16.5873243Z inflating: build/lib/torch/distributed/fsdp/_dynamo_utils.py 2024-08-20T21:38:16.5874922Z inflating: build/lib/torch/distributed/fsdp/_exec_order_utils.py 2024-08-20T21:38:16.5882994Z inflating: build/lib/torch/distributed/fsdp/_flat_param.py 2024-08-20T21:38:16.5883967Z inflating: build/lib/torch/distributed/fsdp/_fsdp_extensions.py 2024-08-20T21:38:16.5887597Z inflating: build/lib/torch/distributed/fsdp/_init_utils.py 2024-08-20T21:38:16.5888367Z inflating: build/lib/torch/distributed/fsdp/_limiter_utils.py 2024-08-20T21:38:16.5894248Z inflating: build/lib/torch/distributed/fsdp/_optim_utils.py 2024-08-20T21:38:16.5899262Z inflating: build/lib/torch/distributed/fsdp/_runtime_utils.py 2024-08-20T21:38:16.5900142Z inflating: build/lib/torch/distributed/fsdp/_shard_utils.py 2024-08-20T21:38:16.5902870Z inflating: build/lib/torch/distributed/fsdp/_state_dict_utils.py 2024-08-20T21:38:16.5903975Z inflating: build/lib/torch/distributed/fsdp/_trace_utils.py 2024-08-20T21:38:16.5904857Z inflating: build/lib/torch/distributed/fsdp/_traversal_utils.py 2024-08-20T21:38:16.5906109Z inflating: build/lib/torch/distributed/fsdp/_unshard_param_utils.py 2024-08-20T21:38:16.5907292Z inflating: build/lib/torch/distributed/fsdp/_wrap_utils.py 2024-08-20T21:38:16.5909100Z inflating: build/lib/torch/distributed/fsdp/api.py 2024-08-20T21:38:16.5916046Z inflating: build/lib/torch/distributed/fsdp/fully_sharded_data_parallel.py 2024-08-20T21:38:16.5917694Z inflating: build/lib/torch/distributed/fsdp/sharded_grad_scaler.py 2024-08-20T21:38:16.5919649Z inflating: build/lib/torch/distributed/fsdp/wrap.py 2024-08-20T21:38:16.5920326Z creating: build/lib/torch/distributed/launcher/ 2024-08-20T21:38:16.5920921Z inflating: build/lib/torch/distributed/launcher/__init__.py 2024-08-20T21:38:16.5921717Z inflating: build/lib/torch/distributed/launcher/api.py 2024-08-20T21:38:16.5922380Z creating: build/lib/torch/distributed/nn/ 2024-08-20T21:38:16.5922911Z inflating: build/lib/torch/distributed/nn/__init__.py 2024-08-20T21:38:16.5923676Z inflating: build/lib/torch/distributed/nn/functional.py 2024-08-20T21:38:16.5924344Z creating: build/lib/torch/distributed/nn/api/ 2024-08-20T21:38:16.5924929Z extracting: build/lib/torch/distributed/nn/api/__init__.py 2024-08-20T21:38:16.5926981Z inflating: build/lib/torch/distributed/nn/api/remote_module.py 2024-08-20T21:38:16.5927698Z creating: build/lib/torch/distributed/nn/jit/ 2024-08-20T21:38:16.5928402Z extracting: build/lib/torch/distributed/nn/jit/__init__.py 2024-08-20T21:38:16.5929195Z inflating: build/lib/torch/distributed/nn/jit/instantiator.py 2024-08-20T21:38:16.5929960Z creating: build/lib/torch/distributed/nn/jit/templates/ 2024-08-20T21:38:16.5930778Z extracting: build/lib/torch/distributed/nn/jit/templates/__init__.py 2024-08-20T21:38:16.5931771Z inflating: build/lib/torch/distributed/nn/jit/templates/remote_module_template.py 2024-08-20T21:38:16.5932694Z creating: build/lib/torch/distributed/optim/ 2024-08-20T21:38:16.5933292Z inflating: build/lib/torch/distributed/optim/__init__.py 2024-08-20T21:38:16.5934136Z inflating: build/lib/torch/distributed/optim/apply_optimizer_in_backward.py 2024-08-20T21:38:16.5935070Z inflating: build/lib/torch/distributed/optim/functional_adadelta.py 2024-08-20T21:38:16.5935988Z inflating: build/lib/torch/distributed/optim/functional_adagrad.py 2024-08-20T21:38:16.5936869Z inflating: build/lib/torch/distributed/optim/functional_adam.py 2024-08-20T21:38:16.5937692Z inflating: build/lib/torch/distributed/optim/functional_adamax.py 2024-08-20T21:38:16.5938046Z inflating: build/lib/torch/distributed/optim/functional_adamw.py 2024-08-20T21:38:16.5938350Z inflating: build/lib/torch/distributed/optim/functional_rmsprop.py 2024-08-20T21:38:16.5938651Z inflating: build/lib/torch/distributed/optim/functional_rprop.py 2024-08-20T21:38:16.5938923Z inflating: build/lib/torch/distributed/optim/functional_sgd.py 2024-08-20T21:38:16.5939544Z inflating: build/lib/torch/distributed/optim/named_optimizer.py 2024-08-20T21:38:16.5940844Z inflating: build/lib/torch/distributed/optim/optimizer.py 2024-08-20T21:38:16.5941694Z inflating: build/lib/torch/distributed/optim/post_localSGD_optimizer.py 2024-08-20T21:38:16.5942344Z inflating: build/lib/torch/distributed/optim/utils.py 2024-08-20T21:38:16.5947433Z inflating: build/lib/torch/distributed/optim/zero_redundancy_optimizer.py 2024-08-20T21:38:16.5948069Z inflating: build/lib/torch/distributed/optim/zero_redundancy_optimizer.pyi 2024-08-20T21:38:16.5948271Z creating: build/lib/torch/distributed/pipelining/ 2024-08-20T21:38:16.5952157Z inflating: build/lib/torch/distributed/pipelining/_IR.py 2024-08-20T21:38:16.5952532Z inflating: build/lib/torch/distributed/pipelining/__init__.py 2024-08-20T21:38:16.5953312Z inflating: build/lib/torch/distributed/pipelining/_backward.py 2024-08-20T21:38:16.5953803Z inflating: build/lib/torch/distributed/pipelining/_debug.py 2024-08-20T21:38:16.5954303Z inflating: build/lib/torch/distributed/pipelining/_unflatten.py 2024-08-20T21:38:16.5954930Z inflating: build/lib/torch/distributed/pipelining/_utils.py 2024-08-20T21:38:16.5956596Z inflating: build/lib/torch/distributed/pipelining/microbatch.py 2024-08-20T21:38:16.5962276Z inflating: build/lib/torch/distributed/pipelining/schedules.py 2024-08-20T21:38:16.5966309Z inflating: build/lib/torch/distributed/pipelining/stage.py 2024-08-20T21:38:16.5966629Z creating: build/lib/torch/distributed/rpc/ 2024-08-20T21:38:16.5967901Z inflating: build/lib/torch/distributed/rpc/__init__.py 2024-08-20T21:38:16.5968356Z inflating: build/lib/torch/distributed/rpc/_utils.py 2024-08-20T21:38:16.5971219Z inflating: build/lib/torch/distributed/rpc/api.py 2024-08-20T21:38:16.5972856Z inflating: build/lib/torch/distributed/rpc/backend_registry.py 2024-08-20T21:38:16.5973181Z inflating: build/lib/torch/distributed/rpc/constants.py 2024-08-20T21:38:16.5974229Z inflating: build/lib/torch/distributed/rpc/functions.py 2024-08-20T21:38:16.5975450Z inflating: build/lib/torch/distributed/rpc/internal.py 2024-08-20T21:38:16.5976383Z inflating: build/lib/torch/distributed/rpc/options.py 2024-08-20T21:38:16.5976906Z inflating: build/lib/torch/distributed/rpc/rref_proxy.py 2024-08-20T21:38:16.5978487Z inflating: build/lib/torch/distributed/rpc/server_process_global_profiler.py 2024-08-20T21:38:16.5978694Z creating: build/lib/torch/distributed/rpc/_testing/ 2024-08-20T21:38:16.5979037Z inflating: build/lib/torch/distributed/rpc/_testing/__init__.py 2024-08-20T21:38:16.5980026Z inflating: build/lib/torch/distributed/rpc/_testing/faulty_agent_backend_registry.py 2024-08-20T21:38:16.5980234Z creating: build/lib/torch/distributed/tensor/ 2024-08-20T21:38:16.5980533Z extracting: build/lib/torch/distributed/tensor/__init__.py 2024-08-20T21:38:16.5980820Z creating: build/lib/torch/distributed/tensor/parallel/ 2024-08-20T21:38:16.5981174Z inflating: build/lib/torch/distributed/tensor/parallel/__init__.py 2024-08-20T21:38:16.5981766Z inflating: build/lib/torch/distributed/tensor/parallel/_data_parallel_utils.py 2024-08-20T21:38:16.5982430Z inflating: build/lib/torch/distributed/tensor/parallel/_utils.py 2024-08-20T21:38:16.5983244Z inflating: build/lib/torch/distributed/tensor/parallel/api.py 2024-08-20T21:38:16.5983962Z inflating: build/lib/torch/distributed/tensor/parallel/ddp.py 2024-08-20T21:38:16.5985491Z inflating: build/lib/torch/distributed/tensor/parallel/fsdp.py 2024-08-20T21:38:16.5986159Z inflating: build/lib/torch/distributed/tensor/parallel/input_reshard.py 2024-08-20T21:38:16.5987760Z inflating: build/lib/torch/distributed/tensor/parallel/loss.py 2024-08-20T21:38:16.5989880Z inflating: build/lib/torch/distributed/tensor/parallel/style.py 2024-08-20T21:38:16.5990051Z creating: build/lib/torch/distributions/ 2024-08-20T21:38:16.5990985Z inflating: build/lib/torch/distributions/__init__.py 2024-08-20T21:38:16.5991622Z inflating: build/lib/torch/distributions/bernoulli.py 2024-08-20T21:38:16.5992280Z inflating: build/lib/torch/distributions/beta.py 2024-08-20T21:38:16.5993225Z inflating: build/lib/torch/distributions/binomial.py 2024-08-20T21:38:16.5994111Z inflating: build/lib/torch/distributions/categorical.py 2024-08-20T21:38:16.5994705Z inflating: build/lib/torch/distributions/cauchy.py 2024-08-20T21:38:16.5995200Z inflating: build/lib/torch/distributions/chi2.py 2024-08-20T21:38:16.5996451Z inflating: build/lib/torch/distributions/constraint_registry.py 2024-08-20T21:38:16.5997981Z inflating: build/lib/torch/distributions/constraints.py 2024-08-20T21:38:16.5999355Z inflating: build/lib/torch/distributions/continuous_bernoulli.py 2024-08-20T21:38:16.5999957Z inflating: build/lib/torch/distributions/dirichlet.py 2024-08-20T21:38:16.6001366Z inflating: build/lib/torch/distributions/distribution.py 2024-08-20T21:38:16.6001841Z inflating: build/lib/torch/distributions/exp_family.py 2024-08-20T21:38:16.6002491Z inflating: build/lib/torch/distributions/exponential.py 2024-08-20T21:38:16.6003192Z inflating: build/lib/torch/distributions/fishersnedecor.py 2024-08-20T21:38:16.6003827Z inflating: build/lib/torch/distributions/gamma.py 2024-08-20T21:38:16.6004637Z inflating: build/lib/torch/distributions/geometric.py 2024-08-20T21:38:16.6005313Z inflating: build/lib/torch/distributions/gumbel.py 2024-08-20T21:38:16.6005951Z inflating: build/lib/torch/distributions/half_cauchy.py 2024-08-20T21:38:16.6006435Z inflating: build/lib/torch/distributions/half_normal.py 2024-08-20T21:38:16.6007278Z inflating: build/lib/torch/distributions/independent.py 2024-08-20T21:38:16.6007809Z inflating: build/lib/torch/distributions/inverse_gamma.py 2024-08-20T21:38:16.6010232Z inflating: build/lib/torch/distributions/kl.py 2024-08-20T21:38:16.6010852Z inflating: build/lib/torch/distributions/kumaraswamy.py 2024-08-20T21:38:16.6011536Z inflating: build/lib/torch/distributions/laplace.py 2024-08-20T21:38:16.6012586Z inflating: build/lib/torch/distributions/lkj_cholesky.py 2024-08-20T21:38:16.6013013Z inflating: build/lib/torch/distributions/log_normal.py 2024-08-20T21:38:16.6013620Z inflating: build/lib/torch/distributions/logistic_normal.py 2024-08-20T21:38:16.6014947Z inflating: build/lib/torch/distributions/lowrank_multivariate_normal.py 2024-08-20T21:38:16.6015774Z inflating: build/lib/torch/distributions/mixture_same_family.py 2024-08-20T21:38:16.6016591Z inflating: build/lib/torch/distributions/multinomial.py 2024-08-20T21:38:16.6017938Z inflating: build/lib/torch/distributions/multivariate_normal.py 2024-08-20T21:38:16.6018608Z inflating: build/lib/torch/distributions/negative_binomial.py 2024-08-20T21:38:16.6019215Z inflating: build/lib/torch/distributions/normal.py 2024-08-20T21:38:16.6020155Z inflating: build/lib/torch/distributions/one_hot_categorical.py 2024-08-20T21:38:16.6020644Z inflating: build/lib/torch/distributions/pareto.py 2024-08-20T21:38:16.6021224Z inflating: build/lib/torch/distributions/poisson.py 2024-08-20T21:38:16.6022318Z inflating: build/lib/torch/distributions/relaxed_bernoulli.py 2024-08-20T21:38:16.6023035Z inflating: build/lib/torch/distributions/relaxed_categorical.py 2024-08-20T21:38:16.6023633Z inflating: build/lib/torch/distributions/studentT.py 2024-08-20T21:38:16.6024878Z inflating: build/lib/torch/distributions/transformed_distribution.py 2024-08-20T21:38:16.6027988Z inflating: build/lib/torch/distributions/transforms.py 2024-08-20T21:38:16.6028565Z inflating: build/lib/torch/distributions/uniform.py 2024-08-20T21:38:16.6029672Z inflating: build/lib/torch/distributions/utils.py 2024-08-20T21:38:16.6030596Z inflating: build/lib/torch/distributions/von_mises.py 2024-08-20T21:38:16.6031124Z inflating: build/lib/torch/distributions/weibull.py 2024-08-20T21:38:16.6032638Z inflating: build/lib/torch/distributions/wishart.py 2024-08-20T21:38:16.6032785Z creating: build/lib/torch/export/ 2024-08-20T21:38:16.6034426Z inflating: build/lib/torch/export/__init__.py 2024-08-20T21:38:16.6035278Z inflating: build/lib/torch/export/_remove_auto_functionalized_pass.py 2024-08-20T21:38:16.6036390Z inflating: build/lib/torch/export/_remove_effect_tokens_pass.py 2024-08-20T21:38:16.6036635Z inflating: build/lib/torch/export/_safeguard.py 2024-08-20T21:38:16.6042308Z inflating: build/lib/torch/export/_trace.py 2024-08-20T21:38:16.6042807Z inflating: build/lib/torch/export/_tree_utils.py 2024-08-20T21:38:16.6044182Z inflating: build/lib/torch/export/_unlift.py 2024-08-20T21:38:16.6044675Z inflating: build/lib/torch/export/custom_obj.py 2024-08-20T21:38:16.6048605Z inflating: build/lib/torch/export/dynamic_shapes.py 2024-08-20T21:38:16.6052118Z inflating: build/lib/torch/export/exported_program.py 2024-08-20T21:38:16.6053721Z inflating: build/lib/torch/export/graph_signature.py 2024-08-20T21:38:16.6057472Z inflating: build/lib/torch/export/unflatten.py 2024-08-20T21:38:16.6057686Z creating: build/lib/torch/export/experimental/ 2024-08-20T21:38:16.6058410Z inflating: build/lib/torch/export/experimental/__init__.py 2024-08-20T21:38:16.6058575Z creating: build/lib/torch/fft/ 2024-08-20T21:38:16.6061861Z inflating: build/lib/torch/fft/__init__.py 2024-08-20T21:38:16.6062028Z creating: build/lib/torch/func/ 2024-08-20T21:38:16.6062371Z inflating: build/lib/torch/func/__init__.py 2024-08-20T21:38:16.6062607Z creating: build/lib/torch/futures/ 2024-08-20T21:38:16.6064245Z inflating: build/lib/torch/futures/__init__.py 2024-08-20T21:38:16.6064372Z creating: build/lib/torch/fx/ 2024-08-20T21:38:16.6065230Z inflating: build/lib/torch/fx/__init__.py 2024-08-20T21:38:16.6065666Z inflating: build/lib/torch/fx/_compatibility.py 2024-08-20T21:38:16.6066799Z inflating: build/lib/torch/fx/_lazy_graph_module.py 2024-08-20T21:38:16.6067284Z inflating: build/lib/torch/fx/_pytree.py 2024-08-20T21:38:16.6071104Z inflating: build/lib/torch/fx/_symbolic_trace.py 2024-08-20T21:38:16.6071496Z inflating: build/lib/torch/fx/_utils.py 2024-08-20T21:38:16.6072090Z inflating: build/lib/torch/fx/annotate.py 2024-08-20T21:38:16.6072443Z inflating: build/lib/torch/fx/config.py 2024-08-20T21:38:16.6077934Z inflating: build/lib/torch/fx/graph.py 2024-08-20T21:38:16.6081241Z inflating: build/lib/torch/fx/graph_module.py 2024-08-20T21:38:16.6081833Z inflating: build/lib/torch/fx/immutable_collections.py 2024-08-20T21:38:16.6083775Z inflating: build/lib/torch/fx/interpreter.py 2024-08-20T21:38:16.6086505Z inflating: build/lib/torch/fx/node.py 2024-08-20T21:38:16.6088605Z inflating: build/lib/torch/fx/operator_schemas.py 2024-08-20T21:38:16.6090697Z inflating: build/lib/torch/fx/proxy.py 2024-08-20T21:38:16.6092158Z inflating: build/lib/torch/fx/subgraph_rewriter.py 2024-08-20T21:38:16.6092658Z inflating: build/lib/torch/fx/tensor_type.py 2024-08-20T21:38:16.6093328Z inflating: build/lib/torch/fx/traceback.py 2024-08-20T21:38:16.6093563Z creating: build/lib/torch/fx/experimental/ 2024-08-20T21:38:16.6093997Z extracting: build/lib/torch/fx/experimental/__init__.py 2024-08-20T21:38:16.6094533Z inflating: build/lib/torch/fx/experimental/_backward_state.py 2024-08-20T21:38:16.6095240Z inflating: build/lib/torch/fx/experimental/_config.py 2024-08-20T21:38:16.6098825Z inflating: build/lib/torch/fx/experimental/accelerator_partitioner.py 2024-08-20T21:38:16.6100195Z inflating: build/lib/torch/fx/experimental/const_fold.py 2024-08-20T21:38:16.6100568Z inflating: build/lib/torch/fx/experimental/debug.py 2024-08-20T21:38:16.6103283Z inflating: build/lib/torch/fx/experimental/graph_gradual_typechecker.py 2024-08-20T21:38:16.6104688Z inflating: build/lib/torch/fx/experimental/merge_matmul.py 2024-08-20T21:38:16.6105846Z inflating: build/lib/torch/fx/experimental/meta_tracer.py 2024-08-20T21:38:16.6106640Z inflating: build/lib/torch/fx/experimental/normalize.py 2024-08-20T21:38:16.6108450Z inflating: build/lib/torch/fx/experimental/optimization.py 2024-08-20T21:38:16.6109717Z inflating: build/lib/torch/fx/experimental/partitioner_utils.py 2024-08-20T21:38:16.6115589Z inflating: build/lib/torch/fx/experimental/proxy_tensor.py 2024-08-20T21:38:16.6117657Z inflating: build/lib/torch/fx/experimental/recording.py 2024-08-20T21:38:16.6118001Z inflating: build/lib/torch/fx/experimental/refinement_types.py 2024-08-20T21:38:16.6118932Z inflating: build/lib/torch/fx/experimental/rewriter.py 2024-08-20T21:38:16.6119762Z inflating: build/lib/torch/fx/experimental/schema_type_annotation.py 2024-08-20T21:38:16.6123469Z inflating: build/lib/torch/fx/experimental/sym_node.py 2024-08-20T21:38:16.6141902Z inflating: build/lib/torch/fx/experimental/symbolic_shapes.py 2024-08-20T21:38:16.6142504Z inflating: build/lib/torch/fx/experimental/unify_refinements.py 2024-08-20T21:38:16.6145293Z inflating: build/lib/torch/fx/experimental/validator.py 2024-08-20T21:38:16.6145634Z creating: build/lib/torch/fx/experimental/migrate_gradual_types/ 2024-08-20T21:38:16.6146158Z extracting: build/lib/torch/fx/experimental/migrate_gradual_types/__init__.py 2024-08-20T21:38:16.6147475Z inflating: build/lib/torch/fx/experimental/migrate_gradual_types/constraint.py 2024-08-20T21:38:16.6150767Z inflating: build/lib/torch/fx/experimental/migrate_gradual_types/constraint_generator.py 2024-08-20T21:38:16.6153699Z inflating: build/lib/torch/fx/experimental/migrate_gradual_types/constraint_transformation.py 2024-08-20T21:38:16.6154081Z inflating: build/lib/torch/fx/experimental/migrate_gradual_types/operation.py 2024-08-20T21:38:16.6155433Z inflating: build/lib/torch/fx/experimental/migrate_gradual_types/transform_to_z3.py 2024-08-20T21:38:16.6155984Z inflating: build/lib/torch/fx/experimental/migrate_gradual_types/util.py 2024-08-20T21:38:16.6156623Z inflating: build/lib/torch/fx/experimental/migrate_gradual_types/z3_types.py 2024-08-20T21:38:16.6156904Z creating: build/lib/torch/fx/experimental/unification/ 2024-08-20T21:38:16.6157276Z inflating: build/lib/torch/fx/experimental/unification/__init__.py 2024-08-20T21:38:16.6157897Z inflating: build/lib/torch/fx/experimental/unification/core.py 2024-08-20T21:38:16.6158294Z inflating: build/lib/torch/fx/experimental/unification/dispatch.py 2024-08-20T21:38:16.6159039Z inflating: build/lib/torch/fx/experimental/unification/match.py 2024-08-20T21:38:16.6159674Z inflating: build/lib/torch/fx/experimental/unification/more.py 2024-08-20T21:38:16.6161098Z inflating: build/lib/torch/fx/experimental/unification/unification_tools.py 2024-08-20T21:38:16.6161571Z inflating: build/lib/torch/fx/experimental/unification/utils.py 2024-08-20T21:38:16.6162242Z inflating: build/lib/torch/fx/experimental/unification/variable.py 2024-08-20T21:38:16.6162686Z creating: build/lib/torch/fx/experimental/unification/multipledispatch/ 2024-08-20T21:38:16.6163159Z inflating: build/lib/torch/fx/experimental/unification/multipledispatch/__init__.py 2024-08-20T21:38:16.6163879Z inflating: build/lib/torch/fx/experimental/unification/multipledispatch/conflict.py 2024-08-20T21:38:16.6164516Z inflating: build/lib/torch/fx/experimental/unification/multipledispatch/core.py 2024-08-20T21:38:16.6166082Z inflating: build/lib/torch/fx/experimental/unification/multipledispatch/dispatcher.py 2024-08-20T21:38:16.6166756Z inflating: build/lib/torch/fx/experimental/unification/multipledispatch/utils.py 2024-08-20T21:38:16.6167583Z inflating: build/lib/torch/fx/experimental/unification/multipledispatch/variadic.py 2024-08-20T21:38:16.6167773Z creating: build/lib/torch/fx/passes/ 2024-08-20T21:38:16.6168019Z inflating: build/lib/torch/fx/passes/__init__.py 2024-08-20T21:38:16.6168633Z inflating: build/lib/torch/fx/passes/annotate_getitem_nodes.py 2024-08-20T21:38:16.6169177Z inflating: build/lib/torch/fx/passes/fake_tensor_prop.py 2024-08-20T21:38:16.6170869Z inflating: build/lib/torch/fx/passes/graph_drawer.py 2024-08-20T21:38:16.6171514Z inflating: build/lib/torch/fx/passes/graph_manipulation.py 2024-08-20T21:38:16.6172186Z inflating: build/lib/torch/fx/passes/graph_transform_observer.py 2024-08-20T21:38:16.6175094Z inflating: build/lib/torch/fx/passes/net_min_base.py 2024-08-20T21:38:16.6175879Z inflating: build/lib/torch/fx/passes/operator_support.py 2024-08-20T21:38:16.6176548Z inflating: build/lib/torch/fx/passes/param_fetch.py 2024-08-20T21:38:16.6177615Z inflating: build/lib/torch/fx/passes/pass_manager.py 2024-08-20T21:38:16.6180541Z inflating: build/lib/torch/fx/passes/reinplace.py 2024-08-20T21:38:16.6182781Z inflating: build/lib/torch/fx/passes/runtime_assert.py 2024-08-20T21:38:16.6183742Z inflating: build/lib/torch/fx/passes/shape_prop.py 2024-08-20T21:38:16.6185876Z inflating: build/lib/torch/fx/passes/split_module.py 2024-08-20T21:38:16.6187116Z inflating: build/lib/torch/fx/passes/split_utils.py 2024-08-20T21:38:16.6189808Z inflating: build/lib/torch/fx/passes/splitter_base.py 2024-08-20T21:38:16.6191071Z inflating: build/lib/torch/fx/passes/tools_common.py 2024-08-20T21:38:16.6191338Z creating: build/lib/torch/fx/passes/backends/ 2024-08-20T21:38:16.6191788Z extracting: build/lib/torch/fx/passes/backends/__init__.py 2024-08-20T21:38:16.6192371Z inflating: build/lib/torch/fx/passes/backends/cudagraphs.py 2024-08-20T21:38:16.6192595Z creating: build/lib/torch/fx/passes/dialect/ 2024-08-20T21:38:16.6192981Z extracting: build/lib/torch/fx/passes/dialect/__init__.py 2024-08-20T21:38:16.6193197Z creating: build/lib/torch/fx/passes/dialect/common/ 2024-08-20T21:38:16.6193616Z extracting: build/lib/torch/fx/passes/dialect/common/__init__.py 2024-08-20T21:38:16.6194488Z inflating: build/lib/torch/fx/passes/dialect/common/cse_pass.py 2024-08-20T21:38:16.6194700Z creating: build/lib/torch/fx/passes/infra/ 2024-08-20T21:38:16.6194999Z extracting: build/lib/torch/fx/passes/infra/__init__.py 2024-08-20T21:38:16.6196768Z inflating: build/lib/torch/fx/passes/infra/partitioner.py 2024-08-20T21:38:16.6197257Z inflating: build/lib/torch/fx/passes/infra/pass_base.py 2024-08-20T21:38:16.6198571Z inflating: build/lib/torch/fx/passes/infra/pass_manager.py 2024-08-20T21:38:16.6198845Z creating: build/lib/torch/fx/passes/tests/ 2024-08-20T21:38:16.6199175Z extracting: build/lib/torch/fx/passes/tests/__init__.py 2024-08-20T21:38:16.6199729Z inflating: build/lib/torch/fx/passes/tests/test_pass_manager.py 2024-08-20T21:38:16.6199931Z creating: build/lib/torch/fx/passes/utils/ 2024-08-20T21:38:16.6200367Z inflating: build/lib/torch/fx/passes/utils/__init__.py 2024-08-20T21:38:16.6201081Z inflating: build/lib/torch/fx/passes/utils/common.py 2024-08-20T21:38:16.6202298Z inflating: build/lib/torch/fx/passes/utils/fuser_utils.py 2024-08-20T21:38:16.6203978Z inflating: build/lib/torch/fx/passes/utils/matcher_utils.py 2024-08-20T21:38:16.6204852Z inflating: build/lib/torch/fx/passes/utils/matcher_with_name_node_map_utils.py 2024-08-20T21:38:16.6205593Z inflating: build/lib/torch/fx/passes/utils/source_matcher_utils.py 2024-08-20T21:38:16.6205832Z inflating: build/lib/torch/fx/__init__.pyi 2024-08-20T21:38:16.6206093Z creating: build/lib/torch/jit/ 2024-08-20T21:38:16.6207318Z inflating: build/lib/torch/jit/__init__.py 2024-08-20T21:38:16.6207917Z inflating: build/lib/torch/jit/_async.py 2024-08-20T21:38:16.6208357Z inflating: build/lib/torch/jit/_await.py 2024-08-20T21:38:16.6209334Z inflating: build/lib/torch/jit/_builtins.py 2024-08-20T21:38:16.6210465Z inflating: build/lib/torch/jit/_check.py 2024-08-20T21:38:16.6211405Z inflating: build/lib/torch/jit/_dataclass_impls.py 2024-08-20T21:38:16.6211760Z inflating: build/lib/torch/jit/_decomposition_utils.py 2024-08-20T21:38:16.6212495Z inflating: build/lib/torch/jit/_decompositions.py 2024-08-20T21:38:16.6213999Z inflating: build/lib/torch/jit/_freeze.py 2024-08-20T21:38:16.6214947Z inflating: build/lib/torch/jit/_fuser.py 2024-08-20T21:38:16.6215426Z inflating: build/lib/torch/jit/_ir_utils.py 2024-08-20T21:38:16.6215756Z inflating: build/lib/torch/jit/_logging.py 2024-08-20T21:38:16.6217092Z inflating: build/lib/torch/jit/_monkeytype_config.py 2024-08-20T21:38:16.6217355Z inflating: build/lib/torch/jit/_pickle.py 2024-08-20T21:38:16.6220871Z inflating: build/lib/torch/jit/_recursive.py 2024-08-20T21:38:16.6225889Z inflating: build/lib/torch/jit/_script.py 2024-08-20T21:38:16.6227083Z inflating: build/lib/torch/jit/_serialization.py 2024-08-20T21:38:16.6230536Z inflating: build/lib/torch/jit/_shape_functions.py 2024-08-20T21:38:16.6231159Z inflating: build/lib/torch/jit/_state.py 2024-08-20T21:38:16.6235575Z inflating: build/lib/torch/jit/_trace.py 2024-08-20T21:38:16.6237504Z inflating: build/lib/torch/jit/annotations.py 2024-08-20T21:38:16.6240923Z inflating: build/lib/torch/jit/frontend.py 2024-08-20T21:38:16.6241510Z inflating: build/lib/torch/jit/generate_bytecode.py 2024-08-20T21:38:16.6242031Z inflating: build/lib/torch/jit/quantized.py 2024-08-20T21:38:16.6243290Z inflating: build/lib/torch/jit/supported_ops.py 2024-08-20T21:38:16.6243852Z inflating: build/lib/torch/jit/unsupported_tensor_ops.py 2024-08-20T21:38:16.6244032Z creating: build/lib/torch/jit/_passes/ 2024-08-20T21:38:16.6244307Z extracting: build/lib/torch/jit/_passes/__init__.py 2024-08-20T21:38:16.6245067Z inflating: build/lib/torch/jit/_passes/_property_propagation.py 2024-08-20T21:38:16.6245262Z creating: build/lib/torch/jit/mobile/ 2024-08-20T21:38:16.6246253Z inflating: build/lib/torch/jit/mobile/__init__.py 2024-08-20T21:38:16.6247302Z inflating: build/lib/torch/jit/_script.pyi 2024-08-20T21:38:16.6247468Z creating: build/lib/torch/linalg/ 2024-08-20T21:38:16.6254956Z inflating: build/lib/torch/linalg/__init__.py 2024-08-20T21:38:16.6255139Z creating: build/lib/torch/masked/ 2024-08-20T21:38:16.6255591Z inflating: build/lib/torch/masked/__init__.py 2024-08-20T21:38:16.6258460Z inflating: build/lib/torch/masked/_docs.py 2024-08-20T21:38:16.6262887Z inflating: build/lib/torch/masked/_ops.py 2024-08-20T21:38:16.6263111Z creating: build/lib/torch/masked/maskedtensor/ 2024-08-20T21:38:16.6263602Z inflating: build/lib/torch/masked/maskedtensor/__init__.py 2024-08-20T21:38:16.6265157Z inflating: build/lib/torch/masked/maskedtensor/_ops_refs.py 2024-08-20T21:38:16.6265845Z inflating: build/lib/torch/masked/maskedtensor/binary.py 2024-08-20T21:38:16.6267258Z inflating: build/lib/torch/masked/maskedtensor/core.py 2024-08-20T21:38:16.6267761Z inflating: build/lib/torch/masked/maskedtensor/creation.py 2024-08-20T21:38:16.6268249Z inflating: build/lib/torch/masked/maskedtensor/passthrough.py 2024-08-20T21:38:16.6269023Z inflating: build/lib/torch/masked/maskedtensor/reductions.py 2024-08-20T21:38:16.6269746Z inflating: build/lib/torch/masked/maskedtensor/unary.py 2024-08-20T21:38:16.6270005Z creating: build/lib/torch/monitor/ 2024-08-20T21:38:16.6270454Z inflating: build/lib/torch/monitor/__init__.py 2024-08-20T21:38:16.6270736Z creating: build/lib/torch/mps/ 2024-08-20T21:38:16.6271667Z inflating: build/lib/torch/mps/__init__.py 2024-08-20T21:38:16.6272067Z inflating: build/lib/torch/mps/event.py 2024-08-20T21:38:16.6272697Z inflating: build/lib/torch/mps/profiler.py 2024-08-20T21:38:16.6272987Z creating: build/lib/torch/mtia/ 2024-08-20T21:38:16.6274372Z inflating: build/lib/torch/mtia/__init__.py 2024-08-20T21:38:16.6274788Z inflating: build/lib/torch/mtia/_utils.py 2024-08-20T21:38:16.6275110Z creating: build/lib/torch/multiprocessing/ 2024-08-20T21:38:16.6275807Z inflating: build/lib/torch/multiprocessing/__init__.py 2024-08-20T21:38:16.6276262Z inflating: build/lib/torch/multiprocessing/_atfork.py 2024-08-20T21:38:16.6276688Z inflating: build/lib/torch/multiprocessing/pool.py 2024-08-20T21:38:16.6277204Z inflating: build/lib/torch/multiprocessing/queue.py 2024-08-20T21:38:16.6279483Z inflating: build/lib/torch/multiprocessing/reductions.py 2024-08-20T21:38:16.6280688Z inflating: build/lib/torch/multiprocessing/spawn.py 2024-08-20T21:38:16.6280829Z creating: build/lib/torch/nested/ 2024-08-20T21:38:16.6282755Z inflating: build/lib/torch/nested/__init__.py 2024-08-20T21:38:16.6282957Z creating: build/lib/torch/nested/_internal/ 2024-08-20T21:38:16.6283217Z extracting: build/lib/torch/nested/_internal/__init__.py 2024-08-20T21:38:16.6285127Z inflating: build/lib/torch/nested/_internal/nested_tensor.py 2024-08-20T21:38:16.6288931Z inflating: build/lib/torch/nested/_internal/ops.py 2024-08-20T21:38:16.6291429Z inflating: build/lib/torch/nested/_internal/sdpa.py 2024-08-20T21:38:16.6291556Z creating: build/lib/torch/nn/ 2024-08-20T21:38:16.6292160Z inflating: build/lib/torch/nn/__init__.py 2024-08-20T21:38:16.6292650Z inflating: build/lib/torch/nn/_reduction.py 2024-08-20T21:38:16.6293327Z inflating: build/lib/torch/nn/common_types.py 2024-08-20T21:38:16.6293909Z inflating: build/lib/torch/nn/cpp.py 2024-08-20T21:38:16.6308298Z inflating: build/lib/torch/nn/functional.py 2024-08-20T21:38:16.6309081Z inflating: build/lib/torch/nn/grad.py 2024-08-20T21:38:16.6311227Z inflating: build/lib/torch/nn/init.py 2024-08-20T21:38:16.6312497Z inflating: build/lib/torch/nn/parameter.py 2024-08-20T21:38:16.6312698Z creating: build/lib/torch/nn/attention/ 2024-08-20T21:38:16.6313536Z inflating: build/lib/torch/nn/attention/__init__.py 2024-08-20T21:38:16.6314114Z inflating: build/lib/torch/nn/attention/_utils.py 2024-08-20T21:38:16.6315456Z inflating: build/lib/torch/nn/attention/bias.py 2024-08-20T21:38:16.6318507Z inflating: build/lib/torch/nn/attention/flex_attention.py 2024-08-20T21:38:16.6318755Z creating: build/lib/torch/nn/backends/ 2024-08-20T21:38:16.6319167Z extracting: build/lib/torch/nn/backends/__init__.py 2024-08-20T21:38:16.6319572Z inflating: build/lib/torch/nn/backends/thnn.py 2024-08-20T21:38:16.6319946Z creating: build/lib/torch/nn/intrinsic/ 2024-08-20T21:38:16.6320530Z inflating: build/lib/torch/nn/intrinsic/__init__.py 2024-08-20T21:38:16.6320795Z creating: build/lib/torch/nn/intrinsic/modules/ 2024-08-20T21:38:16.6321283Z inflating: build/lib/torch/nn/intrinsic/modules/__init__.py 2024-08-20T21:38:16.6321717Z inflating: build/lib/torch/nn/intrinsic/modules/fused.py 2024-08-20T21:38:16.6322028Z creating: build/lib/torch/nn/intrinsic/qat/ 2024-08-20T21:38:16.6322437Z extracting: build/lib/torch/nn/intrinsic/qat/__init__.py 2024-08-20T21:38:16.6322673Z creating: build/lib/torch/nn/intrinsic/qat/modules/ 2024-08-20T21:38:16.6323184Z inflating: build/lib/torch/nn/intrinsic/qat/modules/__init__.py 2024-08-20T21:38:16.6323719Z inflating: build/lib/torch/nn/intrinsic/qat/modules/conv_fused.py 2024-08-20T21:38:16.6324249Z inflating: build/lib/torch/nn/intrinsic/qat/modules/linear_fused.py 2024-08-20T21:38:16.6324726Z inflating: build/lib/torch/nn/intrinsic/qat/modules/linear_relu.py 2024-08-20T21:38:16.6324946Z creating: build/lib/torch/nn/intrinsic/quantized/ 2024-08-20T21:38:16.6325390Z inflating: build/lib/torch/nn/intrinsic/quantized/__init__.py 2024-08-20T21:38:16.6325900Z creating: build/lib/torch/nn/intrinsic/quantized/dynamic/ 2024-08-20T21:38:16.6326415Z extracting: build/lib/torch/nn/intrinsic/quantized/dynamic/__init__.py 2024-08-20T21:38:16.6326715Z creating: build/lib/torch/nn/intrinsic/quantized/dynamic/modules/ 2024-08-20T21:38:16.6327164Z inflating: build/lib/torch/nn/intrinsic/quantized/dynamic/modules/__init__.py 2024-08-20T21:38:16.6327725Z inflating: build/lib/torch/nn/intrinsic/quantized/dynamic/modules/linear_relu.py 2024-08-20T21:38:16.6327959Z creating: build/lib/torch/nn/intrinsic/quantized/modules/ 2024-08-20T21:38:16.6328466Z inflating: build/lib/torch/nn/intrinsic/quantized/modules/__init__.py 2024-08-20T21:38:16.6328875Z inflating: build/lib/torch/nn/intrinsic/quantized/modules/bn_relu.py 2024-08-20T21:38:16.6329302Z inflating: build/lib/torch/nn/intrinsic/quantized/modules/conv_relu.py 2024-08-20T21:38:16.6329865Z inflating: build/lib/torch/nn/intrinsic/quantized/modules/linear_relu.py 2024-08-20T21:38:16.6330125Z creating: build/lib/torch/nn/modules/ 2024-08-20T21:38:16.6330741Z inflating: build/lib/torch/nn/modules/__init__.py 2024-08-20T21:38:16.6332079Z inflating: build/lib/torch/nn/modules/_functions.py 2024-08-20T21:38:16.6335911Z inflating: build/lib/torch/nn/modules/activation.py 2024-08-20T21:38:16.6337260Z inflating: build/lib/torch/nn/modules/adaptive.py 2024-08-20T21:38:16.6339899Z inflating: build/lib/torch/nn/modules/batchnorm.py 2024-08-20T21:38:16.6340416Z inflating: build/lib/torch/nn/modules/channelshuffle.py 2024-08-20T21:38:16.6343071Z inflating: build/lib/torch/nn/modules/container.py 2024-08-20T21:38:16.6347296Z inflating: build/lib/torch/nn/modules/conv.py 2024-08-20T21:38:16.6347871Z inflating: build/lib/torch/nn/modules/distance.py 2024-08-20T21:38:16.6349279Z inflating: build/lib/torch/nn/modules/dropout.py 2024-08-20T21:38:16.6350085Z inflating: build/lib/torch/nn/modules/flatten.py 2024-08-20T21:38:16.6351687Z inflating: build/lib/torch/nn/modules/fold.py 2024-08-20T21:38:16.6352978Z inflating: build/lib/torch/nn/modules/instancenorm.py 2024-08-20T21:38:16.6354239Z inflating: build/lib/torch/nn/modules/lazy.py 2024-08-20T21:38:16.6355356Z inflating: build/lib/torch/nn/modules/linear.py 2024-08-20T21:38:16.6361637Z inflating: build/lib/torch/nn/modules/loss.py 2024-08-20T21:38:16.6369641Z inflating: build/lib/torch/nn/modules/module.py 2024-08-20T21:38:16.6371056Z inflating: build/lib/torch/nn/modules/normalization.py 2024-08-20T21:38:16.6372882Z inflating: build/lib/torch/nn/modules/padding.py 2024-08-20T21:38:16.6373675Z inflating: build/lib/torch/nn/modules/pixelshuffle.py 2024-08-20T21:38:16.6377108Z inflating: build/lib/torch/nn/modules/pooling.py 2024-08-20T21:38:16.6381826Z inflating: build/lib/torch/nn/modules/rnn.py 2024-08-20T21:38:16.6383809Z inflating: build/lib/torch/nn/modules/sparse.py 2024-08-20T21:38:16.6387158Z inflating: build/lib/torch/nn/modules/transformer.py 2024-08-20T21:38:16.6388395Z inflating: build/lib/torch/nn/modules/upsampling.py 2024-08-20T21:38:16.6388891Z inflating: build/lib/torch/nn/modules/utils.py 2024-08-20T21:38:16.6389084Z creating: build/lib/torch/nn/parallel/ 2024-08-20T21:38:16.6389709Z inflating: build/lib/torch/nn/parallel/__init__.py 2024-08-20T21:38:16.6390567Z inflating: build/lib/torch/nn/parallel/_functions.py 2024-08-20T21:38:16.6391787Z inflating: build/lib/torch/nn/parallel/comm.py 2024-08-20T21:38:16.6393181Z inflating: build/lib/torch/nn/parallel/data_parallel.py 2024-08-20T21:38:16.6401116Z inflating: build/lib/torch/nn/parallel/distributed.py 2024-08-20T21:38:16.6401866Z inflating: build/lib/torch/nn/parallel/parallel_apply.py 2024-08-20T21:38:16.6402865Z inflating: build/lib/torch/nn/parallel/replicate.py 2024-08-20T21:38:16.6403657Z inflating: build/lib/torch/nn/parallel/scatter_gather.py 2024-08-20T21:38:16.6403808Z creating: build/lib/torch/nn/qat/ 2024-08-20T21:38:16.6404348Z inflating: build/lib/torch/nn/qat/__init__.py 2024-08-20T21:38:16.6404553Z creating: build/lib/torch/nn/qat/dynamic/ 2024-08-20T21:38:16.6405184Z inflating: build/lib/torch/nn/qat/dynamic/__init__.py 2024-08-20T21:38:16.6405406Z creating: build/lib/torch/nn/qat/dynamic/modules/ 2024-08-20T21:38:16.6405834Z inflating: build/lib/torch/nn/qat/dynamic/modules/__init__.py 2024-08-20T21:38:16.6406321Z inflating: build/lib/torch/nn/qat/dynamic/modules/linear.py 2024-08-20T21:38:16.6406512Z creating: build/lib/torch/nn/qat/modules/ 2024-08-20T21:38:16.6406977Z inflating: build/lib/torch/nn/qat/modules/__init__.py 2024-08-20T21:38:16.6407529Z inflating: build/lib/torch/nn/qat/modules/conv.py 2024-08-20T21:38:16.6407999Z inflating: build/lib/torch/nn/qat/modules/embedding_ops.py 2024-08-20T21:38:16.6408422Z inflating: build/lib/torch/nn/qat/modules/linear.py 2024-08-20T21:38:16.6408633Z creating: build/lib/torch/nn/quantizable/ 2024-08-20T21:38:16.6409132Z extracting: build/lib/torch/nn/quantizable/__init__.py 2024-08-20T21:38:16.6409342Z creating: build/lib/torch/nn/quantizable/modules/ 2024-08-20T21:38:16.6409817Z inflating: build/lib/torch/nn/quantizable/modules/__init__.py 2024-08-20T21:38:16.6410291Z inflating: build/lib/torch/nn/quantizable/modules/activation.py 2024-08-20T21:38:16.6410714Z inflating: build/lib/torch/nn/quantizable/modules/rnn.py 2024-08-20T21:38:16.6411028Z creating: build/lib/torch/nn/quantized/ 2024-08-20T21:38:16.6411469Z inflating: build/lib/torch/nn/quantized/__init__.py 2024-08-20T21:38:16.6411883Z inflating: build/lib/torch/nn/quantized/functional.py 2024-08-20T21:38:16.6412255Z creating: build/lib/torch/nn/quantized/_reference/ 2024-08-20T21:38:16.6412693Z extracting: build/lib/torch/nn/quantized/_reference/__init__.py 2024-08-20T21:38:16.6412932Z creating: build/lib/torch/nn/quantized/_reference/modules/ 2024-08-20T21:38:16.6413517Z inflating: build/lib/torch/nn/quantized/_reference/modules/__init__.py 2024-08-20T21:38:16.6414515Z inflating: build/lib/torch/nn/quantized/_reference/modules/conv.py 2024-08-20T21:38:16.6414906Z inflating: build/lib/torch/nn/quantized/_reference/modules/linear.py 2024-08-20T21:38:16.6415361Z inflating: build/lib/torch/nn/quantized/_reference/modules/rnn.py 2024-08-20T21:38:16.6415895Z inflating: build/lib/torch/nn/quantized/_reference/modules/sparse.py 2024-08-20T21:38:16.6416323Z inflating: build/lib/torch/nn/quantized/_reference/modules/utils.py 2024-08-20T21:38:16.6416508Z creating: build/lib/torch/nn/quantized/dynamic/ 2024-08-20T21:38:16.6416926Z extracting: build/lib/torch/nn/quantized/dynamic/__init__.py 2024-08-20T21:38:16.6417170Z creating: build/lib/torch/nn/quantized/dynamic/modules/ 2024-08-20T21:38:16.6417891Z inflating: build/lib/torch/nn/quantized/dynamic/modules/__init__.py 2024-08-20T21:38:16.6418294Z inflating: build/lib/torch/nn/quantized/dynamic/modules/conv.py 2024-08-20T21:38:16.6418788Z inflating: build/lib/torch/nn/quantized/dynamic/modules/linear.py 2024-08-20T21:38:16.6419289Z inflating: build/lib/torch/nn/quantized/dynamic/modules/rnn.py 2024-08-20T21:38:16.6419490Z creating: build/lib/torch/nn/quantized/modules/ 2024-08-20T21:38:16.6420317Z inflating: build/lib/torch/nn/quantized/modules/__init__.py 2024-08-20T21:38:16.6420748Z inflating: build/lib/torch/nn/quantized/modules/activation.py 2024-08-20T21:38:16.6421259Z inflating: build/lib/torch/nn/quantized/modules/batchnorm.py 2024-08-20T21:38:16.6421637Z inflating: build/lib/torch/nn/quantized/modules/conv.py 2024-08-20T21:38:16.6422116Z inflating: build/lib/torch/nn/quantized/modules/dropout.py 2024-08-20T21:38:16.6422653Z inflating: build/lib/torch/nn/quantized/modules/embedding_ops.py 2024-08-20T21:38:16.6423259Z inflating: build/lib/torch/nn/quantized/modules/functional_modules.py 2024-08-20T21:38:16.6423601Z inflating: build/lib/torch/nn/quantized/modules/linear.py 2024-08-20T21:38:16.6424254Z inflating: build/lib/torch/nn/quantized/modules/normalization.py 2024-08-20T21:38:16.6424716Z inflating: build/lib/torch/nn/quantized/modules/rnn.py 2024-08-20T21:38:16.6425180Z inflating: build/lib/torch/nn/quantized/modules/utils.py 2024-08-20T21:38:16.6425336Z creating: build/lib/torch/nn/utils/ 2024-08-20T21:38:16.6425996Z inflating: build/lib/torch/nn/utils/__init__.py 2024-08-20T21:38:16.6426753Z inflating: build/lib/torch/nn/utils/_deprecation_utils.py 2024-08-20T21:38:16.6428064Z inflating: build/lib/torch/nn/utils/_named_member_accessor.py 2024-08-20T21:38:16.6428858Z inflating: build/lib/torch/nn/utils/_per_sample_grad.py 2024-08-20T21:38:16.6429862Z inflating: build/lib/torch/nn/utils/clip_grad.py 2024-08-20T21:38:16.6430439Z inflating: build/lib/torch/nn/utils/convert_parameters.py 2024-08-20T21:38:16.6431165Z inflating: build/lib/torch/nn/utils/fusion.py 2024-08-20T21:38:16.6432439Z inflating: build/lib/torch/nn/utils/init.py 2024-08-20T21:38:16.6433514Z inflating: build/lib/torch/nn/utils/memory_format.py 2024-08-20T21:38:16.6435807Z inflating: build/lib/torch/nn/utils/parametrizations.py 2024-08-20T21:38:16.6438599Z inflating: build/lib/torch/nn/utils/parametrize.py 2024-08-20T21:38:16.6442448Z inflating: build/lib/torch/nn/utils/prune.py 2024-08-20T21:38:16.6444463Z inflating: build/lib/torch/nn/utils/rnn.py 2024-08-20T21:38:16.6446014Z inflating: build/lib/torch/nn/utils/spectral_norm.py 2024-08-20T21:38:16.6447295Z inflating: build/lib/torch/nn/utils/stateless.py 2024-08-20T21:38:16.6448346Z inflating: build/lib/torch/nn/utils/weight_norm.py 2024-08-20T21:38:16.6448592Z creating: build/lib/torch/nn/utils/_expanded_weights/ 2024-08-20T21:38:16.6449089Z inflating: build/lib/torch/nn/utils/_expanded_weights/__init__.py 2024-08-20T21:38:16.6449822Z inflating: build/lib/torch/nn/utils/_expanded_weights/conv_expanded_weights.py 2024-08-20T21:38:16.6451707Z inflating: build/lib/torch/nn/utils/_expanded_weights/conv_utils.py 2024-08-20T21:38:16.6452292Z inflating: build/lib/torch/nn/utils/_expanded_weights/embedding_expanded_weights.py 2024-08-20T21:38:16.6453343Z inflating: build/lib/torch/nn/utils/_expanded_weights/expanded_weights_impl.py 2024-08-20T21:38:16.6454243Z inflating: build/lib/torch/nn/utils/_expanded_weights/expanded_weights_utils.py 2024-08-20T21:38:16.6455121Z inflating: build/lib/torch/nn/utils/_expanded_weights/group_norm_expanded_weights.py 2024-08-20T21:38:16.6455890Z inflating: build/lib/torch/nn/utils/_expanded_weights/instance_norm_expanded_weights.py 2024-08-20T21:38:16.6456555Z inflating: build/lib/torch/nn/utils/_expanded_weights/layer_norm_expanded_weights.py 2024-08-20T21:38:16.6457286Z inflating: build/lib/torch/nn/utils/_expanded_weights/linear_expanded_weights.py 2024-08-20T21:38:16.6457518Z inflating: build/lib/torch/nn/parameter.pyi 2024-08-20T21:38:16.6457675Z creating: build/lib/torch/onnx/ 2024-08-20T21:38:16.6458537Z inflating: build/lib/torch/onnx/__init__.py 2024-08-20T21:38:16.6458946Z inflating: build/lib/torch/onnx/_constants.py 2024-08-20T21:38:16.6459620Z inflating: build/lib/torch/onnx/_deprecation.py 2024-08-20T21:38:16.6460126Z inflating: build/lib/torch/onnx/_experimental.py 2024-08-20T21:38:16.6460608Z inflating: build/lib/torch/onnx/_exporter_states.py 2024-08-20T21:38:16.6461023Z inflating: build/lib/torch/onnx/_flags.py 2024-08-20T21:38:16.6461738Z inflating: build/lib/torch/onnx/_globals.py 2024-08-20T21:38:16.6462379Z inflating: build/lib/torch/onnx/_onnx_supported_ops.py 2024-08-20T21:38:16.6463882Z inflating: build/lib/torch/onnx/_type_utils.py 2024-08-20T21:38:16.6464449Z inflating: build/lib/torch/onnx/errors.py 2024-08-20T21:38:16.6464999Z inflating: build/lib/torch/onnx/operators.py 2024-08-20T21:38:16.6466136Z inflating: build/lib/torch/onnx/symbolic_caffe2.py 2024-08-20T21:38:16.6471753Z inflating: build/lib/torch/onnx/symbolic_helper.py 2024-08-20T21:38:16.6474335Z inflating: build/lib/torch/onnx/symbolic_opset10.py 2024-08-20T21:38:16.6478152Z inflating: build/lib/torch/onnx/symbolic_opset11.py 2024-08-20T21:38:16.6479582Z inflating: build/lib/torch/onnx/symbolic_opset12.py 2024-08-20T21:38:16.6482585Z inflating: build/lib/torch/onnx/symbolic_opset13.py 2024-08-20T21:38:16.6483875Z inflating: build/lib/torch/onnx/symbolic_opset14.py 2024-08-20T21:38:16.6484643Z inflating: build/lib/torch/onnx/symbolic_opset15.py 2024-08-20T21:38:16.6485789Z inflating: build/lib/torch/onnx/symbolic_opset16.py 2024-08-20T21:38:16.6486925Z inflating: build/lib/torch/onnx/symbolic_opset17.py 2024-08-20T21:38:16.6488043Z inflating: build/lib/torch/onnx/symbolic_opset18.py 2024-08-20T21:38:16.6488535Z inflating: build/lib/torch/onnx/symbolic_opset19.py 2024-08-20T21:38:16.6489266Z inflating: build/lib/torch/onnx/symbolic_opset20.py 2024-08-20T21:38:16.6489916Z inflating: build/lib/torch/onnx/symbolic_opset7.py 2024-08-20T21:38:16.6491530Z inflating: build/lib/torch/onnx/symbolic_opset8.py 2024-08-20T21:38:16.6505791Z inflating: build/lib/torch/onnx/symbolic_opset9.py 2024-08-20T21:38:16.6511737Z inflating: build/lib/torch/onnx/utils.py 2024-08-20T21:38:16.6516762Z inflating: build/lib/torch/onnx/verification.py 2024-08-20T21:38:16.6516975Z creating: build/lib/torch/onnx/_internal/ 2024-08-20T21:38:16.6517619Z extracting: build/lib/torch/onnx/_internal/__init__.py 2024-08-20T21:38:16.6522660Z inflating: build/lib/torch/onnx/_internal/_exporter_legacy.py 2024-08-20T21:38:16.6524554Z inflating: build/lib/torch/onnx/_internal/io_adapter.py 2024-08-20T21:38:16.6526301Z inflating: build/lib/torch/onnx/_internal/jit_utils.py 2024-08-20T21:38:16.6527654Z inflating: build/lib/torch/onnx/_internal/onnx_proto_utils.py 2024-08-20T21:38:16.6531719Z inflating: build/lib/torch/onnx/_internal/onnxruntime.py 2024-08-20T21:38:16.6533086Z inflating: build/lib/torch/onnx/_internal/registration.py 2024-08-20T21:38:16.6533400Z creating: build/lib/torch/onnx/_internal/diagnostics/ 2024-08-20T21:38:16.6534039Z inflating: build/lib/torch/onnx/_internal/diagnostics/__init__.py 2024-08-20T21:38:16.6535258Z inflating: build/lib/torch/onnx/_internal/diagnostics/_diagnostic.py 2024-08-20T21:38:16.6537845Z inflating: build/lib/torch/onnx/_internal/diagnostics/_rules.py 2024-08-20T21:38:16.6538111Z creating: build/lib/torch/onnx/_internal/diagnostics/infra/ 2024-08-20T21:38:16.6538771Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/__init__.py 2024-08-20T21:38:16.6540220Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/_infra.py 2024-08-20T21:38:16.6542026Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/context.py 2024-08-20T21:38:16.6542898Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/decorator.py 2024-08-20T21:38:16.6543713Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/formatter.py 2024-08-20T21:38:16.6544411Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/utils.py 2024-08-20T21:38:16.6544800Z creating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/ 2024-08-20T21:38:16.6545712Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/__init__.py 2024-08-20T21:38:16.6546473Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_address.py 2024-08-20T21:38:16.6547249Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_artifact.py 2024-08-20T21:38:16.6547946Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_artifact_change.py 2024-08-20T21:38:16.6548571Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_artifact_content.py 2024-08-20T21:38:16.6549238Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_artifact_location.py 2024-08-20T21:38:16.6549846Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_attachment.py 2024-08-20T21:38:16.6550508Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_code_flow.py 2024-08-20T21:38:16.6551456Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_configuration_override.py 2024-08-20T21:38:16.6552101Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_conversion.py 2024-08-20T21:38:16.6552743Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_edge.py 2024-08-20T21:38:16.6553441Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_edge_traversal.py 2024-08-20T21:38:16.6554084Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_exception.py 2024-08-20T21:38:16.6554949Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_external_properties.py 2024-08-20T21:38:16.6555696Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_external_property_file_reference.py 2024-08-20T21:38:16.6556510Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_external_property_file_references.py 2024-08-20T21:38:16.6557084Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_fix.py 2024-08-20T21:38:16.6557673Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_graph.py 2024-08-20T21:38:16.6558383Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_graph_traversal.py 2024-08-20T21:38:16.6559189Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_invocation.py 2024-08-20T21:38:16.6559947Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_location.py 2024-08-20T21:38:16.6560666Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_location_relationship.py 2024-08-20T21:38:16.6561308Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_logical_location.py 2024-08-20T21:38:16.6561894Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_message.py 2024-08-20T21:38:16.6562661Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_multiformat_message_string.py 2024-08-20T21:38:16.6563181Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_node.py 2024-08-20T21:38:16.6563946Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_notification.py 2024-08-20T21:38:16.6565192Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_physical_location.py 2024-08-20T21:38:16.6565792Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_property_bag.py 2024-08-20T21:38:16.6566384Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_rectangle.py 2024-08-20T21:38:16.6567049Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_region.py 2024-08-20T21:38:16.6567721Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_replacement.py 2024-08-20T21:38:16.6568454Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_configuration.py 2024-08-20T21:38:16.6569296Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor.py 2024-08-20T21:38:16.6570048Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor_reference.py 2024-08-20T21:38:16.6570768Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor_relationship.py 2024-08-20T21:38:16.6571477Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_result.py 2024-08-20T21:38:16.6572233Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_result_provenance.py 2024-08-20T21:38:16.6573069Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_run.py 2024-08-20T21:38:16.6573831Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_run_automation_details.py 2024-08-20T21:38:16.6574432Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_sarif_log.py 2024-08-20T21:38:16.6575138Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_special_locations.py 2024-08-20T21:38:16.6575718Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_stack.py 2024-08-20T21:38:16.6576396Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_stack_frame.py 2024-08-20T21:38:16.6577065Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_suppression.py 2024-08-20T21:38:16.6577782Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_thread_flow.py 2024-08-20T21:38:16.6578570Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_thread_flow_location.py 2024-08-20T21:38:16.6579141Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_tool.py 2024-08-20T21:38:16.6580142Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_tool_component.py 2024-08-20T21:38:16.6580877Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_tool_component_reference.py 2024-08-20T21:38:16.6581586Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_translation_metadata.py 2024-08-20T21:38:16.6582360Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_version_control_details.py 2024-08-20T21:38:16.6582892Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_web_request.py 2024-08-20T21:38:16.6583572Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/_web_response.py 2024-08-20T21:38:16.6584194Z inflating: build/lib/torch/onnx/_internal/diagnostics/infra/sarif/version.py 2024-08-20T21:38:16.6584410Z creating: build/lib/torch/onnx/_internal/fx/ 2024-08-20T21:38:16.6585076Z inflating: build/lib/torch/onnx/_internal/fx/__init__.py 2024-08-20T21:38:16.6586675Z inflating: build/lib/torch/onnx/_internal/fx/_pass.py 2024-08-20T21:38:16.6587865Z inflating: build/lib/torch/onnx/_internal/fx/decomposition_skip.py 2024-08-20T21:38:16.6588739Z inflating: build/lib/torch/onnx/_internal/fx/decomposition_table.py 2024-08-20T21:38:16.6590026Z inflating: build/lib/torch/onnx/_internal/fx/diagnostics.py 2024-08-20T21:38:16.6591223Z inflating: build/lib/torch/onnx/_internal/fx/dynamo_graph_extractor.py 2024-08-20T21:38:16.6594124Z inflating: build/lib/torch/onnx/_internal/fx/fx_onnx_interpreter.py 2024-08-20T21:38:16.6595749Z inflating: build/lib/torch/onnx/_internal/fx/fx_symbolic_graph_extractor.py 2024-08-20T21:38:16.6598708Z inflating: build/lib/torch/onnx/_internal/fx/onnxfunction_dispatcher.py 2024-08-20T21:38:16.6600446Z inflating: build/lib/torch/onnx/_internal/fx/op_validation.py 2024-08-20T21:38:16.6601449Z inflating: build/lib/torch/onnx/_internal/fx/patcher.py 2024-08-20T21:38:16.6602220Z inflating: build/lib/torch/onnx/_internal/fx/registration.py 2024-08-20T21:38:16.6603786Z inflating: build/lib/torch/onnx/_internal/fx/serialization.py 2024-08-20T21:38:16.6604826Z inflating: build/lib/torch/onnx/_internal/fx/torch_export_graph_extractor.py 2024-08-20T21:38:16.6605874Z inflating: build/lib/torch/onnx/_internal/fx/type_utils.py 2024-08-20T21:38:16.6606218Z creating: build/lib/torch/onnx/_internal/fx/analysis/ 2024-08-20T21:38:16.6606722Z inflating: build/lib/torch/onnx/_internal/fx/analysis/__init__.py 2024-08-20T21:38:16.6607605Z inflating: build/lib/torch/onnx/_internal/fx/analysis/unsupported_nodes.py 2024-08-20T21:38:16.6607836Z creating: build/lib/torch/onnx/_internal/fx/passes/ 2024-08-20T21:38:16.6608470Z inflating: build/lib/torch/onnx/_internal/fx/passes/__init__.py 2024-08-20T21:38:16.6609501Z inflating: build/lib/torch/onnx/_internal/fx/passes/_utils.py 2024-08-20T21:38:16.6610282Z inflating: build/lib/torch/onnx/_internal/fx/passes/decomp.py 2024-08-20T21:38:16.6611549Z inflating: build/lib/torch/onnx/_internal/fx/passes/functionalization.py 2024-08-20T21:38:16.6614463Z inflating: build/lib/torch/onnx/_internal/fx/passes/modularization.py 2024-08-20T21:38:16.6615546Z inflating: build/lib/torch/onnx/_internal/fx/passes/readability.py 2024-08-20T21:38:16.6619927Z inflating: build/lib/torch/onnx/_internal/fx/passes/type_promotion.py 2024-08-20T21:38:16.6620789Z inflating: build/lib/torch/onnx/_internal/fx/passes/virtualization.py 2024-08-20T21:38:16.6620951Z creating: build/lib/torch/optim/ 2024-08-20T21:38:16.6621617Z inflating: build/lib/torch/optim/__init__.py 2024-08-20T21:38:16.6624075Z inflating: build/lib/torch/optim/_adafactor.py 2024-08-20T21:38:16.6624765Z inflating: build/lib/torch/optim/_functional.py 2024-08-20T21:38:16.6627287Z inflating: build/lib/torch/optim/adadelta.py 2024-08-20T21:38:16.6629750Z inflating: build/lib/torch/optim/adagrad.py 2024-08-20T21:38:16.6632319Z inflating: build/lib/torch/optim/adam.py 2024-08-20T21:38:16.6634068Z inflating: build/lib/torch/optim/adamax.py 2024-08-20T21:38:16.6636595Z inflating: build/lib/torch/optim/adamw.py 2024-08-20T21:38:16.6638198Z inflating: build/lib/torch/optim/asgd.py 2024-08-20T21:38:16.6640156Z inflating: build/lib/torch/optim/lbfgs.py 2024-08-20T21:38:16.6645854Z inflating: build/lib/torch/optim/lr_scheduler.py 2024-08-20T21:38:16.6648170Z inflating: build/lib/torch/optim/nadam.py 2024-08-20T21:38:16.6651646Z inflating: build/lib/torch/optim/optimizer.py 2024-08-20T21:38:16.6654160Z inflating: build/lib/torch/optim/radam.py 2024-08-20T21:38:16.6656077Z inflating: build/lib/torch/optim/rmsprop.py 2024-08-20T21:38:16.6657823Z inflating: build/lib/torch/optim/rprop.py 2024-08-20T21:38:16.6659666Z inflating: build/lib/torch/optim/sgd.py 2024-08-20T21:38:16.6660961Z inflating: build/lib/torch/optim/sparse_adam.py 2024-08-20T21:38:16.6662834Z inflating: build/lib/torch/optim/swa_utils.py 2024-08-20T21:38:16.6663022Z creating: build/lib/torch/optim/_multi_tensor/ 2024-08-20T21:38:16.6663787Z inflating: build/lib/torch/optim/_multi_tensor/__init__.py 2024-08-20T21:38:16.6664338Z inflating: build/lib/torch/optim/_multi_tensor/__init__.pyi 2024-08-20T21:38:16.6664617Z creating: build/lib/torch/package/ 2024-08-20T21:38:16.6665180Z inflating: build/lib/torch/package/__init__.py 2024-08-20T21:38:16.6666179Z inflating: build/lib/torch/package/_digraph.py 2024-08-20T21:38:16.6666838Z inflating: build/lib/torch/package/_directory_reader.py 2024-08-20T21:38:16.6667514Z inflating: build/lib/torch/package/_importlib.py 2024-08-20T21:38:16.6668176Z inflating: build/lib/torch/package/_mangling.py 2024-08-20T21:38:16.6668877Z inflating: build/lib/torch/package/_mock.py 2024-08-20T21:38:16.6669864Z inflating: build/lib/torch/package/_package_pickler.py 2024-08-20T21:38:16.6670412Z inflating: build/lib/torch/package/_package_unpickler.py 2024-08-20T21:38:16.6671512Z inflating: build/lib/torch/package/_stdlib.py 2024-08-20T21:38:16.6672598Z inflating: build/lib/torch/package/file_structure_representation.py 2024-08-20T21:38:16.6673291Z inflating: build/lib/torch/package/find_file_dependencies.py 2024-08-20T21:38:16.6674003Z inflating: build/lib/torch/package/glob_group.py 2024-08-20T21:38:16.6675322Z inflating: build/lib/torch/package/importer.py 2024-08-20T21:38:16.6679292Z inflating: build/lib/torch/package/package_exporter.py 2024-08-20T21:38:16.6682126Z inflating: build/lib/torch/package/package_importer.py 2024-08-20T21:38:16.6682759Z creating: build/lib/torch/package/analyze/ 2024-08-20T21:38:16.6683376Z inflating: build/lib/torch/package/analyze/__init__.py 2024-08-20T21:38:16.6684233Z inflating: build/lib/torch/package/analyze/find_first_use_of_broken_modules.py 2024-08-20T21:38:16.6684720Z inflating: build/lib/torch/package/analyze/is_from_package.py 2024-08-20T21:38:16.6685430Z inflating: build/lib/torch/package/analyze/trace_dependencies.py 2024-08-20T21:38:16.6685609Z creating: build/lib/torch/profiler/ 2024-08-20T21:38:16.6686292Z inflating: build/lib/torch/profiler/__init__.py 2024-08-20T21:38:16.6690411Z inflating: build/lib/torch/profiler/_memory_profiler.py 2024-08-20T21:38:16.6693006Z inflating: build/lib/torch/profiler/_pattern_matcher.py 2024-08-20T21:38:16.6694500Z inflating: build/lib/torch/profiler/_utils.py 2024-08-20T21:38:16.6695051Z inflating: build/lib/torch/profiler/itt.py 2024-08-20T21:38:16.6698136Z inflating: build/lib/torch/profiler/profiler.py 2024-08-20T21:38:16.6698672Z inflating: build/lib/torch/profiler/python_tracer.py 2024-08-20T21:38:16.6698938Z creating: build/lib/torch/quantization/ 2024-08-20T21:38:16.6699691Z inflating: build/lib/torch/quantization/__init__.py 2024-08-20T21:38:16.6700367Z inflating: build/lib/torch/quantization/_numeric_suite.py 2024-08-20T21:38:16.6700971Z inflating: build/lib/torch/quantization/_numeric_suite_fx.py 2024-08-20T21:38:16.6701859Z inflating: build/lib/torch/quantization/_quantized_conversions.py 2024-08-20T21:38:16.6702313Z inflating: build/lib/torch/quantization/fake_quantize.py 2024-08-20T21:38:16.6702933Z inflating: build/lib/torch/quantization/fuse_modules.py 2024-08-20T21:38:16.6703527Z inflating: build/lib/torch/quantization/fuser_method_mappings.py 2024-08-20T21:38:16.6704293Z inflating: build/lib/torch/quantization/observer.py 2024-08-20T21:38:16.6704777Z inflating: build/lib/torch/quantization/qconfig.py 2024-08-20T21:38:16.6705291Z inflating: build/lib/torch/quantization/quant_type.py 2024-08-20T21:38:16.6705998Z inflating: build/lib/torch/quantization/quantization_mappings.py 2024-08-20T21:38:16.6706441Z inflating: build/lib/torch/quantization/quantize.py 2024-08-20T21:38:16.6707045Z inflating: build/lib/torch/quantization/quantize_fx.py 2024-08-20T21:38:16.6707619Z inflating: build/lib/torch/quantization/quantize_jit.py 2024-08-20T21:38:16.6708118Z inflating: build/lib/torch/quantization/stubs.py 2024-08-20T21:38:16.6708732Z inflating: build/lib/torch/quantization/utils.py 2024-08-20T21:38:16.6708972Z creating: build/lib/torch/quantization/fx/ 2024-08-20T21:38:16.6709623Z inflating: build/lib/torch/quantization/fx/__init__.py 2024-08-20T21:38:16.6710254Z inflating: build/lib/torch/quantization/fx/_equalize.py 2024-08-20T21:38:16.6710725Z inflating: build/lib/torch/quantization/fx/convert.py 2024-08-20T21:38:16.6711207Z inflating: build/lib/torch/quantization/fx/fuse.py 2024-08-20T21:38:16.6711862Z inflating: build/lib/torch/quantization/fx/fusion_patterns.py 2024-08-20T21:38:16.6712381Z inflating: build/lib/torch/quantization/fx/graph_module.py 2024-08-20T21:38:16.6712996Z inflating: build/lib/torch/quantization/fx/match_utils.py 2024-08-20T21:38:16.6713545Z inflating: build/lib/torch/quantization/fx/pattern_utils.py 2024-08-20T21:38:16.6714185Z inflating: build/lib/torch/quantization/fx/prepare.py 2024-08-20T21:38:16.6715247Z inflating: build/lib/torch/quantization/fx/quantization_patterns.py 2024-08-20T21:38:16.6715690Z inflating: build/lib/torch/quantization/fx/quantization_types.py 2024-08-20T21:38:16.6716258Z inflating: build/lib/torch/quantization/fx/utils.py 2024-08-20T21:38:16.6716511Z creating: build/lib/torch/signal/ 2024-08-20T21:38:16.6717576Z inflating: build/lib/torch/signal/__init__.py 2024-08-20T21:38:16.6717808Z creating: build/lib/torch/signal/windows/ 2024-08-20T21:38:16.6718404Z inflating: build/lib/torch/signal/windows/__init__.py 2024-08-20T21:38:16.6720413Z inflating: build/lib/torch/signal/windows/windows.py 2024-08-20T21:38:16.6720622Z creating: build/lib/torch/sparse/ 2024-08-20T21:38:16.6722964Z inflating: build/lib/torch/sparse/__init__.py 2024-08-20T21:38:16.6724615Z inflating: build/lib/torch/sparse/_semi_structured_conversions.py 2024-08-20T21:38:16.6725388Z inflating: build/lib/torch/sparse/_semi_structured_ops.py 2024-08-20T21:38:16.6731124Z inflating: build/lib/torch/sparse/_triton_ops.py 2024-08-20T21:38:16.6750920Z inflating: build/lib/torch/sparse/_triton_ops_meta.py 2024-08-20T21:38:16.6753214Z inflating: build/lib/torch/sparse/semi_structured.py 2024-08-20T21:38:16.6753506Z creating: build/lib/torch/special/ 2024-08-20T21:38:16.6755971Z inflating: build/lib/torch/special/__init__.py 2024-08-20T21:38:16.6756186Z creating: build/lib/torch/testing/ 2024-08-20T21:38:16.6756707Z inflating: build/lib/torch/testing/__init__.py 2024-08-20T21:38:16.6761340Z inflating: build/lib/torch/testing/_comparison.py 2024-08-20T21:38:16.6762768Z inflating: build/lib/torch/testing/_creation.py 2024-08-20T21:38:16.6763377Z inflating: build/lib/torch/testing/_utils.py 2024-08-20T21:38:16.6763731Z creating: build/lib/torch/testing/_internal/ 2024-08-20T21:38:16.6764197Z extracting: build/lib/torch/testing/_internal/__init__.py 2024-08-20T21:38:16.6766117Z inflating: build/lib/torch/testing/_internal/autocast_test_lists.py 2024-08-20T21:38:16.6767708Z inflating: build/lib/torch/testing/_internal/autograd_function_db.py 2024-08-20T21:38:16.6768816Z inflating: build/lib/torch/testing/_internal/check_kernel_launches.py 2024-08-20T21:38:16.6770159Z inflating: build/lib/torch/testing/_internal/common_cuda.py 2024-08-20T21:38:16.6775481Z inflating: build/lib/torch/testing/_internal/common_device_type.py 2024-08-20T21:38:16.6776506Z inflating: build/lib/torch/testing/_internal/common_dist_composable.py 2024-08-20T21:38:16.6780641Z inflating: build/lib/torch/testing/_internal/common_distributed.py 2024-08-20T21:38:16.6781638Z inflating: build/lib/torch/testing/_internal/common_dtype.py 2024-08-20T21:38:16.6785832Z inflating: build/lib/torch/testing/_internal/common_fsdp.py 2024-08-20T21:38:16.6787484Z inflating: build/lib/torch/testing/_internal/common_jit.py 2024-08-20T21:38:16.6847331Z inflating: build/lib/torch/testing/_internal/common_methods_invocations.py 2024-08-20T21:38:16.6847885Z inflating: build/lib/torch/testing/_internal/common_mkldnn.py 2024-08-20T21:38:16.6858178Z inflating: build/lib/torch/testing/_internal/common_modules.py 2024-08-20T21:38:16.6867147Z inflating: build/lib/torch/testing/_internal/common_nn.py 2024-08-20T21:38:16.6871980Z inflating: build/lib/torch/testing/_internal/common_optimizers.py 2024-08-20T21:38:16.6873338Z inflating: build/lib/torch/testing/_internal/common_pruning.py 2024-08-20T21:38:16.6880188Z inflating: build/lib/torch/testing/_internal/common_quantization.py 2024-08-20T21:38:16.6881445Z inflating: build/lib/torch/testing/_internal/common_quantized.py 2024-08-20T21:38:16.6882582Z inflating: build/lib/torch/testing/_internal/common_subclass.py 2024-08-20T21:38:16.6898323Z inflating: build/lib/torch/testing/_internal/common_utils.py 2024-08-20T21:38:16.6900719Z inflating: build/lib/torch/testing/_internal/composite_compliance.py 2024-08-20T21:38:16.6902458Z inflating: build/lib/torch/testing/_internal/custom_op_db.py 2024-08-20T21:38:16.6903131Z inflating: build/lib/torch/testing/_internal/custom_tensor.py 2024-08-20T21:38:16.6904337Z inflating: build/lib/torch/testing/_internal/dist_utils.py 2024-08-20T21:38:16.6905344Z inflating: build/lib/torch/testing/_internal/dynamo_test_failures.py 2024-08-20T21:38:16.6906334Z inflating: build/lib/torch/testing/_internal/hop_db.py 2024-08-20T21:38:16.6908006Z inflating: build/lib/torch/testing/_internal/hypothesis_utils.py 2024-08-20T21:38:16.6908742Z inflating: build/lib/torch/testing/_internal/inductor_utils.py 2024-08-20T21:38:16.6911531Z inflating: build/lib/torch/testing/_internal/jit_metaprogramming_utils.py 2024-08-20T21:38:16.6914789Z inflating: build/lib/torch/testing/_internal/jit_utils.py 2024-08-20T21:38:16.6915983Z inflating: build/lib/torch/testing/_internal/logging_tensor.py 2024-08-20T21:38:16.6917051Z inflating: build/lib/torch/testing/_internal/logging_utils.py 2024-08-20T21:38:16.6917689Z inflating: build/lib/torch/testing/_internal/quantization_torch_package_models.py 2024-08-20T21:38:16.6918184Z inflating: build/lib/torch/testing/_internal/static_module.py 2024-08-20T21:38:16.6919275Z inflating: build/lib/torch/testing/_internal/torchbind_impls.py 2024-08-20T21:38:16.6920565Z inflating: build/lib/torch/testing/_internal/triton_utils.py 2024-08-20T21:38:16.6921332Z inflating: build/lib/torch/testing/_internal/two_tensor.py 2024-08-20T21:38:16.6921609Z creating: build/lib/torch/testing/_internal/codegen/ 2024-08-20T21:38:16.6922211Z extracting: build/lib/torch/testing/_internal/codegen/__init__.py 2024-08-20T21:38:16.6922684Z creating: build/lib/torch/testing/_internal/data/ 2024-08-20T21:38:16.6923142Z extracting: build/lib/torch/testing/_internal/data/__init__.py 2024-08-20T21:38:16.6923648Z inflating: build/lib/torch/testing/_internal/data/network1.py 2024-08-20T21:38:16.6924260Z inflating: build/lib/torch/testing/_internal/data/network2.py 2024-08-20T21:38:16.6924521Z creating: build/lib/torch/testing/_internal/distributed/ 2024-08-20T21:38:16.6925067Z extracting: build/lib/torch/testing/_internal/distributed/__init__.py 2024-08-20T21:38:16.6925901Z inflating: build/lib/torch/testing/_internal/distributed/checkpoint_utils.py 2024-08-20T21:38:16.6927529Z inflating: build/lib/torch/testing/_internal/distributed/common_state_dict.py 2024-08-20T21:38:16.6929982Z inflating: build/lib/torch/testing/_internal/distributed/ddp_under_dist_autograd_test.py 2024-08-20T21:38:16.6954493Z inflating: build/lib/torch/testing/_internal/distributed/distributed_test.py 2024-08-20T21:38:16.6955209Z inflating: build/lib/torch/testing/_internal/distributed/distributed_utils.py 2024-08-20T21:38:16.6955830Z inflating: build/lib/torch/testing/_internal/distributed/fake_pg.py 2024-08-20T21:38:16.6957942Z inflating: build/lib/torch/testing/_internal/distributed/multi_threaded_pg.py 2024-08-20T21:38:16.6959039Z inflating: build/lib/torch/testing/_internal/distributed/rpc_utils.py 2024-08-20T21:38:16.6959317Z creating: build/lib/torch/testing/_internal/distributed/_shard/ 2024-08-20T21:38:16.6959900Z extracting: build/lib/torch/testing/_internal/distributed/_shard/__init__.py 2024-08-20T21:38:16.6960617Z inflating: build/lib/torch/testing/_internal/distributed/_shard/test_common.py 2024-08-20T21:38:16.6961073Z creating: build/lib/torch/testing/_internal/distributed/_shard/sharded_tensor/ 2024-08-20T21:38:16.6961842Z inflating: build/lib/torch/testing/_internal/distributed/_shard/sharded_tensor/__init__.py 2024-08-20T21:38:16.6962727Z inflating: build/lib/torch/testing/_internal/distributed/_shard/sharded_tensor/_test_ops_common.py 2024-08-20T21:38:16.6963413Z inflating: build/lib/torch/testing/_internal/distributed/_shard/sharded_tensor/_test_st_common.py 2024-08-20T21:38:16.6963694Z creating: build/lib/torch/testing/_internal/distributed/_tensor/ 2024-08-20T21:38:16.6964086Z extracting: build/lib/torch/testing/_internal/distributed/_tensor/__init__.py 2024-08-20T21:38:16.6966202Z inflating: build/lib/torch/testing/_internal/distributed/_tensor/common_dtensor.py 2024-08-20T21:38:16.6966441Z creating: build/lib/torch/testing/_internal/distributed/nn/ 2024-08-20T21:38:16.6966873Z extracting: build/lib/torch/testing/_internal/distributed/nn/__init__.py 2024-08-20T21:38:16.6967273Z creating: build/lib/torch/testing/_internal/distributed/nn/api/ 2024-08-20T21:38:16.6967763Z extracting: build/lib/torch/testing/_internal/distributed/nn/api/__init__.py 2024-08-20T21:38:16.6969964Z inflating: build/lib/torch/testing/_internal/distributed/nn/api/remote_module_test.py 2024-08-20T21:38:16.6970228Z creating: build/lib/torch/testing/_internal/distributed/rpc/ 2024-08-20T21:38:16.6970703Z extracting: build/lib/torch/testing/_internal/distributed/rpc/__init__.py 2024-08-20T21:38:16.6977349Z inflating: build/lib/torch/testing/_internal/distributed/rpc/dist_autograd_test.py 2024-08-20T21:38:16.6978697Z inflating: build/lib/torch/testing/_internal/distributed/rpc/dist_optimizer_test.py 2024-08-20T21:38:16.6980230Z inflating: build/lib/torch/testing/_internal/distributed/rpc/faulty_agent_rpc_test.py 2024-08-20T21:38:16.6980977Z inflating: build/lib/torch/testing/_internal/distributed/rpc/faulty_rpc_agent_test_fixture.py 2024-08-20T21:38:16.6981653Z inflating: build/lib/torch/testing/_internal/distributed/rpc/rpc_agent_test_fixture.py 2024-08-20T21:38:16.6995236Z inflating: build/lib/torch/testing/_internal/distributed/rpc/rpc_test.py 2024-08-20T21:38:16.6996078Z inflating: build/lib/torch/testing/_internal/distributed/rpc/tensorpipe_rpc_agent_test_fixture.py 2024-08-20T21:38:16.6996384Z creating: build/lib/torch/testing/_internal/distributed/rpc/examples/ 2024-08-20T21:38:16.6996834Z extracting: build/lib/torch/testing/_internal/distributed/rpc/examples/__init__.py 2024-08-20T21:38:16.6998008Z inflating: build/lib/torch/testing/_internal/distributed/rpc/examples/parameter_server_test.py 2024-08-20T21:38:16.6999475Z inflating: build/lib/torch/testing/_internal/distributed/rpc/examples/reinforcement_learning_rpc_test.py 2024-08-20T21:38:16.6999809Z creating: build/lib/torch/testing/_internal/distributed/rpc/jit/ 2024-08-20T21:38:16.7000173Z extracting: build/lib/torch/testing/_internal/distributed/rpc/jit/__init__.py 2024-08-20T21:38:16.7001196Z inflating: build/lib/torch/testing/_internal/distributed/rpc/jit/dist_autograd_test.py 2024-08-20T21:38:16.7004439Z inflating: build/lib/torch/testing/_internal/distributed/rpc/jit/rpc_test.py 2024-08-20T21:38:16.7005631Z inflating: build/lib/torch/testing/_internal/distributed/rpc/jit/rpc_test_faulty.py 2024-08-20T21:38:16.7005857Z creating: build/lib/torch/testing/_internal/generated/ 2024-08-20T21:38:16.7006314Z extracting: build/lib/torch/testing/_internal/generated/__init__.py 2024-08-20T21:38:16.7026963Z inflating: build/lib/torch/testing/_internal/generated/annotated_fn_args.py 2024-08-20T21:38:16.7027176Z creating: build/lib/torch/testing/_internal/opinfo/ 2024-08-20T21:38:16.7027726Z inflating: build/lib/torch/testing/_internal/opinfo/__init__.py 2024-08-20T21:38:16.7035682Z inflating: build/lib/torch/testing/_internal/opinfo/core.py 2024-08-20T21:38:16.7036760Z inflating: build/lib/torch/testing/_internal/opinfo/refs.py 2024-08-20T21:38:16.7038058Z inflating: build/lib/torch/testing/_internal/opinfo/utils.py 2024-08-20T21:38:16.7038348Z creating: build/lib/torch/testing/_internal/opinfo/definitions/ 2024-08-20T21:38:16.7039070Z inflating: build/lib/torch/testing/_internal/opinfo/definitions/__init__.py 2024-08-20T21:38:16.7042539Z inflating: build/lib/torch/testing/_internal/opinfo/definitions/_masked.py 2024-08-20T21:38:16.7044479Z inflating: build/lib/torch/testing/_internal/opinfo/definitions/fft.py 2024-08-20T21:38:16.7049910Z inflating: build/lib/torch/testing/_internal/opinfo/definitions/linalg.py 2024-08-20T21:38:16.7051259Z inflating: build/lib/torch/testing/_internal/opinfo/definitions/nested.py 2024-08-20T21:38:16.7052693Z inflating: build/lib/torch/testing/_internal/opinfo/definitions/signal.py 2024-08-20T21:38:16.7055215Z inflating: build/lib/torch/testing/_internal/opinfo/definitions/sparse.py 2024-08-20T21:38:16.7057168Z inflating: build/lib/torch/testing/_internal/opinfo/definitions/special.py 2024-08-20T21:38:16.7057552Z creating: build/lib/torch/testing/_internal/optests/ 2024-08-20T21:38:16.7058162Z inflating: build/lib/torch/testing/_internal/optests/__init__.py 2024-08-20T21:38:16.7059259Z inflating: build/lib/torch/testing/_internal/optests/aot_autograd.py 2024-08-20T21:38:16.7060428Z inflating: build/lib/torch/testing/_internal/optests/autograd_registration.py 2024-08-20T21:38:16.7060845Z inflating: build/lib/torch/testing/_internal/optests/fake_tensor.py 2024-08-20T21:38:16.7063725Z inflating: build/lib/torch/testing/_internal/optests/generate_tests.py 2024-08-20T21:38:16.7064505Z inflating: build/lib/torch/testing/_internal/optests/make_fx.py 2024-08-20T21:38:16.7064833Z creating: build/lib/torch/testing/_internal/test_module/ 2024-08-20T21:38:16.7065326Z extracting: build/lib/torch/testing/_internal/test_module/__init__.py 2024-08-20T21:38:16.7065849Z inflating: build/lib/torch/testing/_internal/test_module/future_div.py 2024-08-20T21:38:16.7066444Z inflating: build/lib/torch/testing/_internal/test_module/no_future_div.py 2024-08-20T21:38:16.7066596Z creating: build/lib/torch/utils/ 2024-08-20T21:38:16.7067367Z inflating: build/lib/torch/utils/__init__.py 2024-08-20T21:38:16.7068391Z inflating: build/lib/torch/utils/_backport_slots.py 2024-08-20T21:38:16.7069919Z inflating: build/lib/torch/utils/_config_module.py 2024-08-20T21:38:16.7071225Z inflating: build/lib/torch/utils/_content_store.py 2024-08-20T21:38:16.7072302Z inflating: build/lib/torch/utils/_contextlib.py 2024-08-20T21:38:16.7073009Z inflating: build/lib/torch/utils/_cpp_extension_versioner.py 2024-08-20T21:38:16.7075564Z inflating: build/lib/torch/utils/_cxx_pytree.py 2024-08-20T21:38:16.7076554Z inflating: build/lib/torch/utils/_device.py 2024-08-20T21:38:16.7077041Z inflating: build/lib/torch/utils/_exposed_in.py 2024-08-20T21:38:16.7077952Z inflating: build/lib/torch/utils/_foreach_utils.py 2024-08-20T21:38:16.7079253Z inflating: build/lib/torch/utils/_freeze.py 2024-08-20T21:38:16.7080414Z inflating: build/lib/torch/utils/_get_clean_triton.py 2024-08-20T21:38:16.7080786Z inflating: build/lib/torch/utils/_import_utils.py 2024-08-20T21:38:16.7081284Z inflating: build/lib/torch/utils/_mode_utils.py 2024-08-20T21:38:16.7082357Z inflating: build/lib/torch/utils/_ordered_set.py 2024-08-20T21:38:16.7084912Z inflating: build/lib/torch/utils/_python_dispatch.py 2024-08-20T21:38:16.7088762Z inflating: build/lib/torch/utils/_pytree.py 2024-08-20T21:38:16.7089251Z inflating: build/lib/torch/utils/_stats.py 2024-08-20T21:38:16.7089847Z inflating: build/lib/torch/utils/_thunk.py 2024-08-20T21:38:16.7091344Z inflating: build/lib/torch/utils/_traceback.py 2024-08-20T21:38:16.7092070Z inflating: build/lib/torch/utils/_triton.py 2024-08-20T21:38:16.7092697Z inflating: build/lib/torch/utils/_typing_utils.py 2024-08-20T21:38:16.7093341Z inflating: build/lib/torch/utils/_zip.py 2024-08-20T21:38:16.7095329Z inflating: build/lib/torch/utils/backend_registration.py 2024-08-20T21:38:16.7097308Z inflating: build/lib/torch/utils/bundled_inputs.py 2024-08-20T21:38:16.7102658Z inflating: build/lib/torch/utils/checkpoint.py 2024-08-20T21:38:16.7105162Z inflating: build/lib/torch/utils/collect_env.py 2024-08-20T21:38:16.7105648Z inflating: build/lib/torch/utils/cpp_backtrace.py 2024-08-20T21:38:16.7113410Z inflating: build/lib/torch/utils/cpp_extension.py 2024-08-20T21:38:16.7113902Z inflating: build/lib/torch/utils/deterministic.py 2024-08-20T21:38:16.7114944Z inflating: build/lib/torch/utils/dlpack.py 2024-08-20T21:38:16.7115564Z inflating: build/lib/torch/utils/file_baton.py 2024-08-20T21:38:16.7118006Z inflating: build/lib/torch/utils/flop_counter.py 2024-08-20T21:38:16.7119273Z inflating: build/lib/torch/utils/hooks.py 2024-08-20T21:38:16.7120268Z inflating: build/lib/torch/utils/mkldnn.py 2024-08-20T21:38:16.7121334Z inflating: build/lib/torch/utils/mobile_optimizer.py 2024-08-20T21:38:16.7121683Z inflating: build/lib/torch/utils/model_zoo.py 2024-08-20T21:38:16.7122766Z inflating: build/lib/torch/utils/module_tracker.py 2024-08-20T21:38:16.7123721Z inflating: build/lib/torch/utils/show_pickle.py 2024-08-20T21:38:16.7124852Z inflating: build/lib/torch/utils/throughput_benchmark.py 2024-08-20T21:38:16.7126351Z inflating: build/lib/torch/utils/weak.py 2024-08-20T21:38:16.7126676Z creating: build/lib/torch/utils/_strobelight/ 2024-08-20T21:38:16.7127312Z extracting: build/lib/torch/utils/_strobelight/__init__.py 2024-08-20T21:38:16.7128592Z inflating: build/lib/torch/utils/_strobelight/cli_function_profiler.py 2024-08-20T21:38:16.7128742Z creating: build/lib/torch/utils/_sympy/ 2024-08-20T21:38:16.7129128Z extracting: build/lib/torch/utils/_sympy/__init__.py 2024-08-20T21:38:16.7131487Z inflating: build/lib/torch/utils/_sympy/functions.py 2024-08-20T21:38:16.7132540Z inflating: build/lib/torch/utils/_sympy/interp.py 2024-08-20T21:38:16.7133730Z inflating: build/lib/torch/utils/_sympy/numbers.py 2024-08-20T21:38:16.7134704Z inflating: build/lib/torch/utils/_sympy/reference.py 2024-08-20T21:38:16.7135373Z inflating: build/lib/torch/utils/_sympy/singleton_int.py 2024-08-20T21:38:16.7136444Z inflating: build/lib/torch/utils/_sympy/solve.py 2024-08-20T21:38:16.7137417Z inflating: build/lib/torch/utils/_sympy/symbol.py 2024-08-20T21:38:16.7140530Z inflating: build/lib/torch/utils/_sympy/value_ranges.py 2024-08-20T21:38:16.7140809Z creating: build/lib/torch/utils/backcompat/ 2024-08-20T21:38:16.7141450Z inflating: build/lib/torch/utils/backcompat/__init__.py 2024-08-20T21:38:16.7141688Z creating: build/lib/torch/utils/benchmark/ 2024-08-20T21:38:16.7142240Z inflating: build/lib/torch/utils/benchmark/__init__.py 2024-08-20T21:38:16.7142495Z creating: build/lib/torch/utils/benchmark/examples/ 2024-08-20T21:38:16.7143093Z extracting: build/lib/torch/utils/benchmark/examples/__init__.py 2024-08-20T21:38:16.7144290Z inflating: build/lib/torch/utils/benchmark/examples/blas_compare_setup.py 2024-08-20T21:38:16.7145054Z inflating: build/lib/torch/utils/benchmark/examples/compare.py 2024-08-20T21:38:16.7145645Z inflating: build/lib/torch/utils/benchmark/examples/fuzzer.py 2024-08-20T21:38:16.7146715Z inflating: build/lib/torch/utils/benchmark/examples/op_benchmark.py 2024-08-20T21:38:16.7147240Z inflating: build/lib/torch/utils/benchmark/examples/simple_timeit.py 2024-08-20T21:38:16.7148421Z inflating: build/lib/torch/utils/benchmark/examples/spectral_ops_fuzz_test.py 2024-08-20T21:38:16.7148661Z creating: build/lib/torch/utils/benchmark/op_fuzzers/ 2024-08-20T21:38:16.7148974Z extracting: build/lib/torch/utils/benchmark/op_fuzzers/__init__.py 2024-08-20T21:38:16.7149759Z inflating: build/lib/torch/utils/benchmark/op_fuzzers/binary.py 2024-08-20T21:38:16.7150606Z inflating: build/lib/torch/utils/benchmark/op_fuzzers/sparse_binary.py 2024-08-20T21:38:16.7151349Z inflating: build/lib/torch/utils/benchmark/op_fuzzers/sparse_unary.py 2024-08-20T21:38:16.7152119Z inflating: build/lib/torch/utils/benchmark/op_fuzzers/spectral.py 2024-08-20T21:38:16.7152847Z inflating: build/lib/torch/utils/benchmark/op_fuzzers/unary.py 2024-08-20T21:38:16.7153098Z creating: build/lib/torch/utils/benchmark/utils/ 2024-08-20T21:38:16.7153543Z extracting: build/lib/torch/utils/benchmark/utils/__init__.py 2024-08-20T21:38:16.7154161Z inflating: build/lib/torch/utils/benchmark/utils/_stubs.py 2024-08-20T21:38:16.7155854Z inflating: build/lib/torch/utils/benchmark/utils/common.py 2024-08-20T21:38:16.7157402Z inflating: build/lib/torch/utils/benchmark/utils/compare.py 2024-08-20T21:38:16.7158511Z inflating: build/lib/torch/utils/benchmark/utils/compile.py 2024-08-20T21:38:16.7159638Z inflating: build/lib/torch/utils/benchmark/utils/cpp_jit.py 2024-08-20T21:38:16.7161514Z inflating: build/lib/torch/utils/benchmark/utils/fuzzer.py 2024-08-20T21:38:16.7162561Z inflating: build/lib/torch/utils/benchmark/utils/sparse_fuzzer.py 2024-08-20T21:38:16.7164668Z inflating: build/lib/torch/utils/benchmark/utils/timer.py 2024-08-20T21:38:16.7165201Z creating: build/lib/torch/utils/benchmark/utils/valgrind_wrapper/ 2024-08-20T21:38:16.7165857Z extracting: build/lib/torch/utils/benchmark/utils/valgrind_wrapper/__init__.py 2024-08-20T21:38:16.7169172Z inflating: build/lib/torch/utils/benchmark/utils/valgrind_wrapper/timer_interface.py 2024-08-20T21:38:16.7169757Z inflating: build/lib/torch/utils/benchmark/utils/valgrind_wrapper/compat_bindings.cpp 2024-08-20T21:38:16.7170497Z inflating: build/lib/torch/utils/benchmark/utils/valgrind_wrapper/timer_callgrind_template.cpp 2024-08-20T21:38:16.7171446Z inflating: build/lib/torch/utils/benchmark/utils/valgrind_wrapper/callgrind.h 2024-08-20T21:38:16.7189957Z inflating: build/lib/torch/utils/benchmark/utils/valgrind_wrapper/valgrind.h 2024-08-20T21:38:16.7190512Z inflating: build/lib/torch/utils/benchmark/utils/timeit_template.cpp 2024-08-20T21:38:16.7190787Z creating: build/lib/torch/utils/bottleneck/ 2024-08-20T21:38:16.7191225Z extracting: build/lib/torch/utils/bottleneck/__init__.py 2024-08-20T21:38:16.7192364Z inflating: build/lib/torch/utils/bottleneck/__main__.py 2024-08-20T21:38:16.7192597Z creating: build/lib/torch/utils/data/ 2024-08-20T21:38:16.7193283Z inflating: build/lib/torch/utils/data/__init__.py 2024-08-20T21:38:16.7193933Z inflating: build/lib/torch/utils/data/backward_compatibility.py 2024-08-20T21:38:16.7199823Z inflating: build/lib/torch/utils/data/dataloader.py 2024-08-20T21:38:16.7201715Z inflating: build/lib/torch/utils/data/dataset.py 2024-08-20T21:38:16.7202883Z inflating: build/lib/torch/utils/data/distributed.py 2024-08-20T21:38:16.7203774Z inflating: build/lib/torch/utils/data/graph.py 2024-08-20T21:38:16.7204831Z inflating: build/lib/torch/utils/data/graph_settings.py 2024-08-20T21:38:16.7206312Z inflating: build/lib/torch/utils/data/sampler.py 2024-08-20T21:38:16.7206608Z creating: build/lib/torch/utils/data/_utils/ 2024-08-20T21:38:16.7207412Z inflating: build/lib/torch/utils/data/_utils/__init__.py 2024-08-20T21:38:16.7209086Z inflating: build/lib/torch/utils/data/_utils/collate.py 2024-08-20T21:38:16.7209698Z inflating: build/lib/torch/utils/data/_utils/fetch.py 2024-08-20T21:38:16.7210680Z inflating: build/lib/torch/utils/data/_utils/pin_memory.py 2024-08-20T21:38:16.7211435Z inflating: build/lib/torch/utils/data/_utils/signal_handling.py 2024-08-20T21:38:16.7213128Z inflating: build/lib/torch/utils/data/_utils/worker.py 2024-08-20T21:38:16.7213507Z creating: build/lib/torch/utils/data/datapipes/ 2024-08-20T21:38:16.7214193Z inflating: build/lib/torch/utils/data/datapipes/__init__.py 2024-08-20T21:38:16.7215329Z inflating: build/lib/torch/utils/data/datapipes/_decorator.py 2024-08-20T21:38:16.7216792Z inflating: build/lib/torch/utils/data/datapipes/_hook_iterator.py 2024-08-20T21:38:16.7218459Z inflating: build/lib/torch/utils/data/datapipes/_typing.py 2024-08-20T21:38:16.7220244Z inflating: build/lib/torch/utils/data/datapipes/datapipe.py 2024-08-20T21:38:16.7221670Z inflating: build/lib/torch/utils/data/datapipes/gen_pyi.py 2024-08-20T21:38:16.7221898Z creating: build/lib/torch/utils/data/datapipes/dataframe/ 2024-08-20T21:38:16.7222684Z inflating: build/lib/torch/utils/data/datapipes/dataframe/__init__.py 2024-08-20T21:38:16.7223507Z inflating: build/lib/torch/utils/data/datapipes/dataframe/dataframe_wrapper.py 2024-08-20T21:38:16.7224990Z inflating: build/lib/torch/utils/data/datapipes/dataframe/dataframes.py 2024-08-20T21:38:16.7225939Z inflating: build/lib/torch/utils/data/datapipes/dataframe/datapipes.py 2024-08-20T21:38:16.7227225Z inflating: build/lib/torch/utils/data/datapipes/dataframe/structures.py 2024-08-20T21:38:16.7227443Z creating: build/lib/torch/utils/data/datapipes/iter/ 2024-08-20T21:38:16.7228137Z inflating: build/lib/torch/utils/data/datapipes/iter/__init__.py 2024-08-20T21:38:16.7229511Z inflating: build/lib/torch/utils/data/datapipes/iter/callable.py 2024-08-20T21:38:16.7230645Z inflating: build/lib/torch/utils/data/datapipes/iter/combinatorics.py 2024-08-20T21:38:16.7232930Z inflating: build/lib/torch/utils/data/datapipes/iter/combining.py 2024-08-20T21:38:16.7233642Z inflating: build/lib/torch/utils/data/datapipes/iter/filelister.py 2024-08-20T21:38:16.7234408Z inflating: build/lib/torch/utils/data/datapipes/iter/fileopener.py 2024-08-20T21:38:16.7235933Z inflating: build/lib/torch/utils/data/datapipes/iter/grouping.py 2024-08-20T21:38:16.7236753Z inflating: build/lib/torch/utils/data/datapipes/iter/routeddecoder.py 2024-08-20T21:38:16.7237785Z inflating: build/lib/torch/utils/data/datapipes/iter/selecting.py 2024-08-20T21:38:16.7238561Z inflating: build/lib/torch/utils/data/datapipes/iter/sharding.py 2024-08-20T21:38:16.7239263Z inflating: build/lib/torch/utils/data/datapipes/iter/streamreader.py 2024-08-20T21:38:16.7239928Z inflating: build/lib/torch/utils/data/datapipes/iter/utils.py 2024-08-20T21:38:16.7240157Z creating: build/lib/torch/utils/data/datapipes/map/ 2024-08-20T21:38:16.7240894Z inflating: build/lib/torch/utils/data/datapipes/map/__init__.py 2024-08-20T21:38:16.7241631Z inflating: build/lib/torch/utils/data/datapipes/map/callable.py 2024-08-20T21:38:16.7242617Z inflating: build/lib/torch/utils/data/datapipes/map/combinatorics.py 2024-08-20T21:38:16.7243320Z inflating: build/lib/torch/utils/data/datapipes/map/combining.py 2024-08-20T21:38:16.7244070Z inflating: build/lib/torch/utils/data/datapipes/map/grouping.py 2024-08-20T21:38:16.7244731Z inflating: build/lib/torch/utils/data/datapipes/map/utils.py 2024-08-20T21:38:16.7245132Z creating: build/lib/torch/utils/data/datapipes/utils/ 2024-08-20T21:38:16.7245588Z extracting: build/lib/torch/utils/data/datapipes/utils/__init__.py 2024-08-20T21:38:16.7247203Z inflating: build/lib/torch/utils/data/datapipes/utils/common.py 2024-08-20T21:38:16.7248731Z inflating: build/lib/torch/utils/data/datapipes/utils/decoder.py 2024-08-20T21:38:16.7249407Z inflating: build/lib/torch/utils/data/datapipes/utils/snapshot.py 2024-08-20T21:38:16.7249609Z creating: build/lib/torch/utils/hipify/ 2024-08-20T21:38:16.7250258Z inflating: build/lib/torch/utils/hipify/__init__.py 2024-08-20T21:38:16.7250874Z inflating: build/lib/torch/utils/hipify/constants.py 2024-08-20T21:38:16.7267625Z inflating: build/lib/torch/utils/hipify/cuda_to_hip_mappings.py 2024-08-20T21:38:16.7271419Z inflating: build/lib/torch/utils/hipify/hipify_python.py 2024-08-20T21:38:16.7271855Z extracting: build/lib/torch/utils/hipify/version.py 2024-08-20T21:38:16.7272088Z creating: build/lib/torch/utils/jit/ 2024-08-20T21:38:16.7272523Z extracting: build/lib/torch/utils/jit/__init__.py 2024-08-20T21:38:16.7273455Z inflating: build/lib/torch/utils/jit/log_extract.py 2024-08-20T21:38:16.7273748Z creating: build/lib/torch/utils/model_dump/ 2024-08-20T21:38:16.7275735Z inflating: build/lib/torch/utils/model_dump/__init__.py 2024-08-20T21:38:16.7276125Z inflating: build/lib/torch/utils/model_dump/__main__.py 2024-08-20T21:38:16.7276727Z inflating: build/lib/torch/utils/model_dump/skeleton.html 2024-08-20T21:38:16.7278610Z inflating: build/lib/torch/utils/model_dump/code.js 2024-08-20T21:38:16.7279219Z inflating: build/lib/torch/utils/model_dump/htm.mjs 2024-08-20T21:38:16.7280661Z inflating: build/lib/torch/utils/model_dump/preact.mjs 2024-08-20T21:38:16.7280908Z creating: build/lib/torch/utils/tensorboard/ 2024-08-20T21:38:16.7281479Z inflating: build/lib/torch/utils/tensorboard/__init__.py 2024-08-20T21:38:16.7282117Z inflating: build/lib/torch/utils/tensorboard/_convert_np.py 2024-08-20T21:38:16.7282891Z inflating: build/lib/torch/utils/tensorboard/_embedding.py 2024-08-20T21:38:16.7283606Z inflating: build/lib/torch/utils/tensorboard/_onnx_graph.py 2024-08-20T21:38:16.7284279Z inflating: build/lib/torch/utils/tensorboard/_proto_graph.py 2024-08-20T21:38:16.7285931Z inflating: build/lib/torch/utils/tensorboard/_pytorch_graph.py 2024-08-20T21:38:16.7286878Z inflating: build/lib/torch/utils/tensorboard/_utils.py 2024-08-20T21:38:16.7289723Z inflating: build/lib/torch/utils/tensorboard/summary.py 2024-08-20T21:38:16.7293326Z inflating: build/lib/torch/utils/tensorboard/writer.py 2024-08-20T21:38:16.7293595Z creating: build/lib/torch/utils/viz/ 2024-08-20T21:38:16.7293991Z extracting: build/lib/torch/utils/viz/__init__.py 2024-08-20T21:38:16.7295769Z inflating: build/lib/torch/utils/viz/_cycles.py 2024-08-20T21:38:16.7296429Z inflating: build/lib/torch/utils/_config_typing.pyi 2024-08-20T21:38:16.7296651Z creating: build/lib/torch/xpu/ 2024-08-20T21:38:16.7298359Z inflating: build/lib/torch/xpu/__init__.py 2024-08-20T21:38:16.7299009Z inflating: build/lib/torch/xpu/_gpu_trace.py 2024-08-20T21:38:16.7299635Z inflating: build/lib/torch/xpu/_utils.py 2024-08-20T21:38:16.7300655Z inflating: build/lib/torch/xpu/random.py 2024-08-20T21:38:16.7301641Z inflating: build/lib/torch/xpu/streams.py 2024-08-20T21:38:16.7301941Z extracting: build/lib/torch/py.typed 2024-08-20T21:38:16.7302279Z creating: build/lib/torch/bin/ 2024-08-20T21:38:16.7658376Z inflating: build/lib/torch/bin/protoc-3.13.0.0 2024-08-20T21:38:16.8012895Z inflating: build/lib/torch/bin/protoc 2024-08-20T21:38:16.8060916Z inflating: build/lib/torch/bin/test_edge_op_registration 2024-08-20T21:38:16.8616158Z inflating: build/lib/torch/bin/test_jit 2024-08-20T21:38:16.9602864Z inflating: build/lib/torch/bin/test_tensorexpr 2024-08-20T21:38:16.9618665Z inflating: build/lib/torch/bin/tutorial_tensorexpr 2024-08-20T21:38:16.9666152Z inflating: build/lib/torch/bin/FileStoreTest 2024-08-20T21:38:16.9714805Z inflating: build/lib/torch/bin/TCPStoreTest 2024-08-20T21:38:16.9762272Z inflating: build/lib/torch/bin/HashStoreTest 2024-08-20T21:38:16.9811033Z inflating: build/lib/torch/bin/test_dist_autograd 2024-08-20T21:38:16.9872191Z inflating: build/lib/torch/bin/test_cpp_rpc 2024-08-20T21:38:17.1115208Z inflating: build/lib/torch/bin/test_api 2024-08-20T21:38:17.1175969Z inflating: build/lib/torch/bin/test_mobile_nnc 2024-08-20T21:38:17.1185322Z inflating: build/lib/torch/bin/aot_model_compiler_test 2024-08-20T21:38:17.1492764Z inflating: build/lib/torch/bin/test_lazy 2024-08-20T21:38:17.1493284Z creating: build/lib/torch/test/ 2024-08-20T21:38:17.1537905Z inflating: build/lib/torch/test/c10_CompileTimeFunctionPointer_test 2024-08-20T21:38:17.1582993Z inflating: build/lib/torch/test/c10_DeviceGuard_test 2024-08-20T21:38:17.1628985Z inflating: build/lib/torch/test/c10_Device_test 2024-08-20T21:38:17.1680640Z inflating: build/lib/torch/test/c10_DispatchKeySet_test 2024-08-20T21:38:17.1728159Z inflating: build/lib/torch/test/c10_Scalar_test 2024-08-20T21:38:17.1771593Z inflating: build/lib/torch/test/c10_StreamGuard_test 2024-08-20T21:38:17.1816985Z inflating: build/lib/torch/test/c10_SymInt_test 2024-08-20T21:38:17.1865331Z inflating: build/lib/torch/test/c10_InlineDeviceGuard_test 2024-08-20T21:38:17.1914607Z inflating: build/lib/torch/test/c10_InlineStreamGuard_test 2024-08-20T21:38:17.1965024Z inflating: build/lib/torch/test/c10_SizesAndStrides_test 2024-08-20T21:38:17.2025587Z inflating: build/lib/torch/test/c10_cow_test 2024-08-20T21:38:17.2072198Z inflating: build/lib/torch/test/c10_Bitset_test 2024-08-20T21:38:17.2115702Z inflating: build/lib/torch/test/c10_ConstexprCrc_test 2024-08-20T21:38:17.2160545Z inflating: build/lib/torch/test/c10_DeadlockDetection_test 2024-08-20T21:38:17.2205252Z inflating: build/lib/torch/test/c10_Half_test 2024-08-20T21:38:17.2255088Z inflating: build/lib/torch/test/c10_LeftRight_test 2024-08-20T21:38:17.2302844Z inflating: build/lib/torch/test/c10_Metaprogramming_test 2024-08-20T21:38:17.2347467Z inflating: build/lib/torch/test/c10_Synchronized_test 2024-08-20T21:38:17.2395544Z inflating: build/lib/torch/test/c10_ThreadLocal_test 2024-08-20T21:38:17.2440967Z inflating: build/lib/torch/test/c10_TypeIndex_test 2024-08-20T21:38:17.2485787Z inflating: build/lib/torch/test/c10_TypeList_test 2024-08-20T21:38:17.2529663Z inflating: build/lib/torch/test/c10_TypeTraits_test 2024-08-20T21:38:17.2575450Z inflating: build/lib/torch/test/c10_accumulate_test 2024-08-20T21:38:17.2623775Z inflating: build/lib/torch/test/c10_bfloat16_test 2024-08-20T21:38:17.2668797Z inflating: build/lib/torch/test/c10_bit_cast_test 2024-08-20T21:38:17.2720240Z inflating: build/lib/torch/test/c10_complex_math_test 2024-08-20T21:38:17.2768810Z inflating: build/lib/torch/test/c10_complex_test 2024-08-20T21:38:17.2815796Z inflating: build/lib/torch/test/c10_exception_test 2024-08-20T21:38:17.2861704Z inflating: build/lib/torch/test/c10_flags_test 2024-08-20T21:38:17.2905882Z inflating: build/lib/torch/test/c10_generic_math_test 2024-08-20T21:38:17.3033617Z inflating: build/lib/torch/test/c10_intrusive_ptr_test 2024-08-20T21:38:17.3078972Z inflating: build/lib/torch/test/c10_irange_test 2024-08-20T21:38:17.3125619Z inflating: build/lib/torch/test/c10_lazy_test 2024-08-20T21:38:17.3175110Z inflating: build/lib/torch/test/c10_logging_test 2024-08-20T21:38:17.3243561Z inflating: build/lib/torch/test/c10_optional_test 2024-08-20T21:38:17.3298166Z inflating: build/lib/torch/test/c10_ordered_preserving_dict_test 2024-08-20T21:38:17.3346002Z inflating: build/lib/torch/test/c10_registry_test 2024-08-20T21:38:17.3474726Z inflating: build/lib/torch/test/c10_small_vector_test 2024-08-20T21:38:17.3520240Z inflating: build/lib/torch/test/c10_ssize_test 2024-08-20T21:38:17.3565729Z inflating: build/lib/torch/test/c10_string_util_test 2024-08-20T21:38:17.3616266Z inflating: build/lib/torch/test/c10_string_view_test 2024-08-20T21:38:17.3661253Z inflating: build/lib/torch/test/c10_tempfile_test 2024-08-20T21:38:17.3709146Z inflating: build/lib/torch/test/c10_typeid_test 2024-08-20T21:38:17.3747949Z inflating: build/lib/torch/test/c10_intrusive_ptr_benchmark 2024-08-20T21:38:17.3811788Z inflating: build/lib/torch/test/Dict_test 2024-08-20T21:38:17.3858040Z inflating: build/lib/torch/test/Dimname_test 2024-08-20T21:38:17.3917040Z inflating: build/lib/torch/test/MaybeOwned_test 2024-08-20T21:38:17.3967388Z inflating: build/lib/torch/test/NamedTensor_test 2024-08-20T21:38:17.4019260Z inflating: build/lib/torch/test/apply_utils_test 2024-08-20T21:38:17.4072521Z inflating: build/lib/torch/test/atest 2024-08-20T21:38:17.4129522Z inflating: build/lib/torch/test/basic 2024-08-20T21:38:17.4178057Z inflating: build/lib/torch/test/broadcast_test 2024-08-20T21:38:17.4223363Z inflating: build/lib/torch/test/cpu_allocator_test 2024-08-20T21:38:17.4274704Z inflating: build/lib/torch/test/cpu_generator_test 2024-08-20T21:38:17.4322127Z inflating: build/lib/torch/test/cpu_profiling_allocator_test 2024-08-20T21:38:17.4406655Z inflating: build/lib/torch/test/cpu_rng_test 2024-08-20T21:38:17.4451230Z inflating: build/lib/torch/test/dispatch_key_set_test 2024-08-20T21:38:17.4495990Z inflating: build/lib/torch/test/dlconvertor_test 2024-08-20T21:38:17.4549020Z inflating: build/lib/torch/test/extension_backend_test 2024-08-20T21:38:17.4597345Z inflating: build/lib/torch/test/half_test 2024-08-20T21:38:17.4685964Z inflating: build/lib/torch/test/ivalue_test 2024-08-20T21:38:17.4730697Z inflating: build/lib/torch/test/lazy_tensor_test 2024-08-20T21:38:17.4777797Z inflating: build/lib/torch/test/math_kernel_test 2024-08-20T21:38:17.4824840Z inflating: build/lib/torch/test/memory_format_test 2024-08-20T21:38:17.4871840Z inflating: build/lib/torch/test/memory_overlapping_test 2024-08-20T21:38:17.4919299Z inflating: build/lib/torch/test/mobile_memory_cleanup 2024-08-20T21:38:17.4970623Z inflating: build/lib/torch/test/native_test 2024-08-20T21:38:17.5015491Z inflating: build/lib/torch/test/operator_name_test 2024-08-20T21:38:17.5060942Z inflating: build/lib/torch/test/operators_test 2024-08-20T21:38:17.5106748Z inflating: build/lib/torch/test/packedtensoraccessor_test 2024-08-20T21:38:17.5171153Z inflating: build/lib/torch/test/pow_test 2024-08-20T21:38:17.5221792Z inflating: build/lib/torch/test/quantized_test 2024-08-20T21:38:17.5266679Z inflating: build/lib/torch/test/reduce_ops_test 2024-08-20T21:38:17.5312218Z inflating: build/lib/torch/test/reportMemoryUsage_test 2024-08-20T21:38:17.5363250Z inflating: build/lib/torch/test/scalar_tensor_test 2024-08-20T21:38:17.5414971Z inflating: build/lib/torch/test/scalar_test 2024-08-20T21:38:17.5460664Z inflating: build/lib/torch/test/StorageUtils_test 2024-08-20T21:38:17.5506954Z inflating: build/lib/torch/test/stride_properties_test 2024-08-20T21:38:17.5579821Z inflating: build/lib/torch/test/tensor_iterator_test 2024-08-20T21:38:17.5627449Z inflating: build/lib/torch/test/test_parallel 2024-08-20T21:38:17.5630059Z inflating: build/lib/torch/test/thread_init_test 2024-08-20T21:38:17.5676402Z inflating: build/lib/torch/test/type_ptr_test 2024-08-20T21:38:17.5730848Z inflating: build/lib/torch/test/type_test 2024-08-20T21:38:17.5777346Z inflating: build/lib/torch/test/undefined_tensor_test 2024-08-20T21:38:17.5778949Z inflating: build/lib/torch/test/verify_api_visibility 2024-08-20T21:38:17.5843967Z inflating: build/lib/torch/test/legacy_vmap_test 2024-08-20T21:38:17.5889697Z inflating: build/lib/torch/test/weakref_test 2024-08-20T21:38:17.5935662Z inflating: build/lib/torch/test/wrapdim_test 2024-08-20T21:38:17.5981594Z inflating: build/lib/torch/test/xla_tensor_test 2024-08-20T21:38:17.6035379Z inflating: build/lib/torch/test/IListRef_test 2024-08-20T21:38:17.6127404Z inflating: build/lib/torch/test/List_test 2024-08-20T21:38:17.6184948Z inflating: build/lib/torch/test/KernelFunction_test 2024-08-20T21:38:17.6304144Z inflating: build/lib/torch/test/kernel_function_legacy_test 2024-08-20T21:38:17.6393055Z inflating: build/lib/torch/test/kernel_function_test 2024-08-20T21:38:17.6514106Z inflating: build/lib/torch/test/kernel_lambda_legacy_test 2024-08-20T21:38:17.6609388Z inflating: build/lib/torch/test/kernel_lambda_test 2024-08-20T21:38:17.6663994Z inflating: build/lib/torch/test/kernel_stackbased_test 2024-08-20T21:38:17.6753897Z inflating: build/lib/torch/test/make_boxed_from_unboxed_functor_test 2024-08-20T21:38:17.6798283Z inflating: build/lib/torch/test/CppSignature_test 2024-08-20T21:38:17.6847600Z inflating: build/lib/torch/test/backend_fallback_test 2024-08-20T21:38:17.6890870Z inflating: build/lib/torch/test/op_allowlist_test 2024-08-20T21:38:17.7194830Z inflating: build/lib/torch/test/op_registration_test 2024-08-20T21:38:17.7250163Z inflating: build/lib/torch/test/inline_container_test 2024-08-20T21:38:17.7250968Z creating: build/lib/torch/_C/ 2024-08-20T21:38:17.7251457Z inflating: build/lib/torch/_C/_aoti.pyi 2024-08-20T21:38:17.7252052Z inflating: build/lib/torch/_C/_autograd.pyi 2024-08-20T21:38:17.7252658Z inflating: build/lib/torch/_C/_cpu.pyi 2024-08-20T21:38:17.7253180Z inflating: build/lib/torch/_C/_cudnn.pyi 2024-08-20T21:38:17.7253872Z inflating: build/lib/torch/_C/_distributed_autograd.pyi 2024-08-20T21:38:17.7255687Z inflating: build/lib/torch/_C/_distributed_c10d.pyi 2024-08-20T21:38:17.7256510Z inflating: build/lib/torch/_C/_distributed_rpc.pyi 2024-08-20T21:38:17.7257437Z inflating: build/lib/torch/_C/_distributed_rpc_testing.pyi 2024-08-20T21:38:17.7258101Z inflating: build/lib/torch/_C/_functions.pyi 2024-08-20T21:38:17.7258715Z inflating: build/lib/torch/_C/_functorch.pyi 2024-08-20T21:38:17.7259264Z inflating: build/lib/torch/_C/_itt.pyi 2024-08-20T21:38:17.7259869Z inflating: build/lib/torch/_C/_lazy.pyi 2024-08-20T21:38:17.7260449Z inflating: build/lib/torch/_C/_lazy_ts_backend.pyi 2024-08-20T21:38:17.7261055Z inflating: build/lib/torch/_C/_monitor.pyi 2024-08-20T21:38:17.7261581Z inflating: build/lib/torch/_C/_nvtx.pyi 2024-08-20T21:38:17.7262396Z inflating: build/lib/torch/_C/_onnx.pyi 2024-08-20T21:38:17.7263033Z inflating: build/lib/torch/_C/_profiler.pyi 2024-08-20T21:38:17.7263534Z inflating: build/lib/torch/_C/_verbose.pyi 2024-08-20T21:38:17.7264002Z creating: build/lib/torch/include/ 2024-08-20T21:38:17.7268560Z inflating: build/lib/torch/include/pthreadpool.h 2024-08-20T21:38:17.7269843Z inflating: build/lib/torch/include/fxdiv.h 2024-08-20T21:38:17.7273303Z inflating: build/lib/torch/include/cpuinfo.h 2024-08-20T21:38:17.7274097Z inflating: build/lib/torch/include/qnnpack_func.h 2024-08-20T21:38:17.7274835Z inflating: build/lib/torch/include/clog.h 2024-08-20T21:38:17.7277673Z inflating: build/lib/torch/include/psimd.h 2024-08-20T21:38:17.7278173Z inflating: build/lib/torch/include/fp16.h 2024-08-20T21:38:17.7280406Z inflating: build/lib/torch/include/nnpack.h 2024-08-20T21:38:17.7291152Z inflating: build/lib/torch/include/xnnpack.h 2024-08-20T21:38:17.7291998Z inflating: build/lib/torch/include/experiments-config.h 2024-08-20T21:38:17.7292579Z inflating: build/lib/torch/include/dnnl.h 2024-08-20T21:38:17.7293259Z inflating: build/lib/torch/include/dnnl_config.h 2024-08-20T21:38:17.7293848Z inflating: build/lib/torch/include/dnnl_debug.h 2024-08-20T21:38:17.7294431Z inflating: build/lib/torch/include/dnnl_ocl.h 2024-08-20T21:38:17.7295000Z inflating: build/lib/torch/include/dnnl_sycl.h 2024-08-20T21:38:17.7295666Z inflating: build/lib/torch/include/dnnl_sycl_types.h 2024-08-20T21:38:17.7296296Z inflating: build/lib/torch/include/dnnl_threadpool.h 2024-08-20T21:38:17.7296905Z inflating: build/lib/torch/include/dnnl_types.h 2024-08-20T21:38:17.7297497Z inflating: build/lib/torch/include/dnnl_version.h 2024-08-20T21:38:17.7308985Z inflating: build/lib/torch/include/sleef.h 2024-08-20T21:38:17.7309518Z creating: build/lib/torch/include/ATen/ 2024-08-20T21:38:17.7310229Z inflating: build/lib/torch/include/ATen/ATen.h 2024-08-20T21:38:17.7310928Z inflating: build/lib/torch/include/ATen/AccumulateType.h 2024-08-20T21:38:17.7311574Z extracting: build/lib/torch/include/ATen/ArrayRef.h 2024-08-20T21:38:17.7312226Z extracting: build/lib/torch/include/ATen/Backend.h 2024-08-20T21:38:17.7312839Z extracting: build/lib/torch/include/ATen/Backtrace.h 2024-08-20T21:38:17.7313428Z inflating: build/lib/torch/include/ATen/BlasBackend.h 2024-08-20T21:38:17.7314160Z inflating: build/lib/torch/include/ATen/CPUApplyUtils.h 2024-08-20T21:38:17.7314868Z inflating: build/lib/torch/include/ATen/CPUFixedAllocator.h 2024-08-20T21:38:17.7315841Z inflating: build/lib/torch/include/ATen/CPUGeneratorImpl.h 2024-08-20T21:38:17.7317099Z inflating: build/lib/torch/include/ATen/CachedTensorUtils.h 2024-08-20T21:38:17.7318315Z inflating: build/lib/torch/include/ATen/CollapseDims.h 2024-08-20T21:38:17.7318897Z inflating: build/lib/torch/include/ATen/Config.h 2024-08-20T21:38:17.7319712Z inflating: build/lib/torch/include/ATen/Context.h 2024-08-20T21:38:17.7320787Z inflating: build/lib/torch/include/ATen/DLConvertor.h 2024-08-20T21:38:17.7321863Z extracting: build/lib/torch/include/ATen/Device.h 2024-08-20T21:38:17.7323028Z inflating: build/lib/torch/include/ATen/DeviceAccelerator.h 2024-08-20T21:38:17.7323799Z inflating: build/lib/torch/include/ATen/DeviceGuard.h 2024-08-20T21:38:17.7324393Z extracting: build/lib/torch/include/ATen/DimVector.h 2024-08-20T21:38:17.7324971Z extracting: build/lib/torch/include/ATen/Dimname.h 2024-08-20T21:38:17.7325970Z inflating: build/lib/torch/include/ATen/Dispatch.h 2024-08-20T21:38:17.7328051Z inflating: build/lib/torch/include/ATen/Dispatch_v2.h 2024-08-20T21:38:17.7329148Z inflating: build/lib/torch/include/ATen/DynamicLibrary.h 2024-08-20T21:38:17.7330330Z inflating: build/lib/torch/include/ATen/EmptyTensor.h 2024-08-20T21:38:17.7330924Z inflating: build/lib/torch/include/ATen/ExpandBase.h 2024-08-20T21:38:17.7331941Z inflating: build/lib/torch/include/ATen/ExpandUtils.h 2024-08-20T21:38:17.7333053Z extracting: build/lib/torch/include/ATen/Formatting.h 2024-08-20T21:38:17.7333799Z inflating: build/lib/torch/include/ATen/FuncTorchTLS.h 2024-08-20T21:38:17.7334797Z inflating: build/lib/torch/include/ATen/FunctionalStorageImpl.h 2024-08-20T21:38:17.7335999Z inflating: build/lib/torch/include/ATen/FunctionalTensorWrapper.h 2024-08-20T21:38:17.7337284Z extracting: build/lib/torch/include/ATen/Generator.h 2024-08-20T21:38:17.7338363Z inflating: build/lib/torch/include/ATen/InferSize.h 2024-08-20T21:38:17.7339428Z inflating: build/lib/torch/include/ATen/InitialTensorOptions.h 2024-08-20T21:38:17.7340726Z extracting: build/lib/torch/include/ATen/Layout.h 2024-08-20T21:38:17.7341519Z inflating: build/lib/torch/include/ATen/LegacyBatchedFallback.h 2024-08-20T21:38:17.7342985Z inflating: build/lib/torch/include/ATen/LegacyBatchedTensorImpl.h 2024-08-20T21:38:17.7344320Z inflating: build/lib/torch/include/ATen/LegacyVmapMode.h 2024-08-20T21:38:17.7345409Z inflating: build/lib/torch/include/ATen/LegacyVmapTransforms.h 2024-08-20T21:38:17.7346493Z inflating: build/lib/torch/include/ATen/LinalgBackend.h 2024-08-20T21:38:17.7347121Z inflating: build/lib/torch/include/ATen/MapAllocator.h 2024-08-20T21:38:17.7348128Z inflating: build/lib/torch/include/ATen/MatrixRef.h 2024-08-20T21:38:17.7349232Z inflating: build/lib/torch/include/ATen/MemoryOverlap.h 2024-08-20T21:38:17.7350184Z extracting: build/lib/torch/include/ATen/NamedTensor.h 2024-08-20T21:38:17.7351375Z inflating: build/lib/torch/include/ATen/NamedTensorUtils.h 2024-08-20T21:38:17.7352461Z inflating: build/lib/torch/include/ATen/NestedTensorImpl.h 2024-08-20T21:38:17.7353633Z inflating: build/lib/torch/include/ATen/NumericUtils.h 2024-08-20T21:38:17.7354785Z inflating: build/lib/torch/include/ATen/OpMathType.h 2024-08-20T21:38:17.7356175Z inflating: build/lib/torch/include/ATen/OpaqueTensorImpl.h 2024-08-20T21:38:17.7357412Z inflating: build/lib/torch/include/ATen/PTThreadPool.h 2024-08-20T21:38:17.7358480Z inflating: build/lib/torch/include/ATen/PadNd.h 2024-08-20T21:38:17.7359597Z inflating: build/lib/torch/include/ATen/Parallel-inl.h 2024-08-20T21:38:17.7360545Z inflating: build/lib/torch/include/ATen/Parallel.h 2024-08-20T21:38:17.7361293Z inflating: build/lib/torch/include/ATen/ParallelFuture.h 2024-08-20T21:38:17.7362199Z inflating: build/lib/torch/include/ATen/ParallelNative.h 2024-08-20T21:38:17.7363041Z inflating: build/lib/torch/include/ATen/ParallelOpenMP.h 2024-08-20T21:38:17.7364345Z inflating: build/lib/torch/include/ATen/PythonTorchFunctionTLS.h 2024-08-20T21:38:17.7365623Z inflating: build/lib/torch/include/ATen/SavedTensorHooks.h 2024-08-20T21:38:17.7366574Z extracting: build/lib/torch/include/ATen/Scalar.h 2024-08-20T21:38:17.7367271Z inflating: build/lib/torch/include/ATen/ScalarOps.h 2024-08-20T21:38:17.7367965Z inflating: build/lib/torch/include/ATen/ScalarType.h 2024-08-20T21:38:17.7368874Z inflating: build/lib/torch/include/ATen/SequenceNumber.h 2024-08-20T21:38:17.7369496Z extracting: build/lib/torch/include/ATen/SmallVector.h 2024-08-20T21:38:17.7370158Z inflating: build/lib/torch/include/ATen/SparseCsrTensorImpl.h 2024-08-20T21:38:17.7370891Z inflating: build/lib/torch/include/ATen/SparseCsrTensorUtils.h 2024-08-20T21:38:17.7372201Z inflating: build/lib/torch/include/ATen/SparseTensorImpl.h 2024-08-20T21:38:17.7373190Z extracting: build/lib/torch/include/ATen/Storage.h 2024-08-20T21:38:17.7374279Z inflating: build/lib/torch/include/ATen/StorageUtils.h 2024-08-20T21:38:17.7375325Z extracting: build/lib/torch/include/ATen/Tensor.h 2024-08-20T21:38:17.7376316Z inflating: build/lib/torch/include/ATen/TensorAccessor.h 2024-08-20T21:38:17.7377524Z inflating: build/lib/torch/include/ATen/TensorGeometry.h 2024-08-20T21:38:17.7378579Z inflating: build/lib/torch/include/ATen/TensorIndexing.h 2024-08-20T21:38:17.7379665Z inflating: build/lib/torch/include/ATen/TensorIterator.h 2024-08-20T21:38:17.7381030Z inflating: build/lib/torch/include/ATen/TensorIteratorInternal.h 2024-08-20T21:38:17.7382126Z inflating: build/lib/torch/include/ATen/TensorMeta.h 2024-08-20T21:38:17.7383180Z inflating: build/lib/torch/include/ATen/TensorNames.h 2024-08-20T21:38:17.7383804Z inflating: build/lib/torch/include/ATen/TensorOperators.h 2024-08-20T21:38:17.7384433Z extracting: build/lib/torch/include/ATen/TensorOptions.h 2024-08-20T21:38:17.7385181Z inflating: build/lib/torch/include/ATen/TensorSubclassLikeUtils.h 2024-08-20T21:38:17.7386457Z inflating: build/lib/torch/include/ATen/TensorUtils.h 2024-08-20T21:38:17.7387544Z inflating: build/lib/torch/include/ATen/ThreadLocalPythonObjects.h 2024-08-20T21:38:17.7388901Z inflating: build/lib/torch/include/ATen/ThreadLocalState.h 2024-08-20T21:38:17.7389759Z inflating: build/lib/torch/include/ATen/TracerMode.h 2024-08-20T21:38:17.7390928Z inflating: build/lib/torch/include/ATen/TypeDefault.h 2024-08-20T21:38:17.7391666Z inflating: build/lib/torch/include/ATen/Utils.h 2024-08-20T21:38:17.7392214Z inflating: build/lib/torch/include/ATen/Version.h 2024-08-20T21:38:17.7392853Z inflating: build/lib/torch/include/ATen/WrapDimUtils.h 2024-08-20T21:38:17.7394073Z inflating: build/lib/torch/include/ATen/WrapDimUtilsMulti.h 2024-08-20T21:38:17.7394792Z inflating: build/lib/torch/include/ATen/autocast_mode.h 2024-08-20T21:38:17.7395458Z inflating: build/lib/torch/include/ATen/ceil_div.h 2024-08-20T21:38:17.7396555Z inflating: build/lib/torch/include/ATen/code_template.h 2024-08-20T21:38:17.7397301Z inflating: build/lib/torch/include/ATen/cpp_custom_type_hack.h 2024-08-20T21:38:17.7397929Z inflating: build/lib/torch/include/ATen/div_rtn.h 2024-08-20T21:38:17.7398657Z inflating: build/lib/torch/include/ATen/dlpack.h 2024-08-20T21:38:17.7399820Z inflating: build/lib/torch/include/ATen/jit_macros.h 2024-08-20T21:38:17.7400447Z inflating: build/lib/torch/include/ATen/jiterator_macros.h 2024-08-20T21:38:17.7401475Z inflating: build/lib/torch/include/ATen/record_function.h 2024-08-20T21:38:17.7402409Z inflating: build/lib/torch/include/ATen/CPUFunctions.h 2024-08-20T21:38:17.7403039Z inflating: build/lib/torch/include/ATen/CPUFunctions_inl.h 2024-08-20T21:38:17.7404194Z inflating: build/lib/torch/include/ATen/CompositeExplicitAutogradFunctions.h 2024-08-20T21:38:17.7405870Z inflating: build/lib/torch/include/ATen/CompositeExplicitAutogradFunctions_inl.h 2024-08-20T21:38:17.7407002Z inflating: build/lib/torch/include/ATen/CompositeExplicitAutogradNonFunctionalFunctions.h 2024-08-20T21:38:17.7408254Z inflating: build/lib/torch/include/ATen/CompositeExplicitAutogradNonFunctionalFunctions_inl.h 2024-08-20T21:38:17.7410150Z inflating: build/lib/torch/include/ATen/CompositeImplicitAutogradFunctions.h 2024-08-20T21:38:17.7411541Z inflating: build/lib/torch/include/ATen/CompositeImplicitAutogradFunctions_inl.h 2024-08-20T21:38:17.7413074Z inflating: build/lib/torch/include/ATen/CompositeImplicitAutogradNestedTensorFunctions.h 2024-08-20T21:38:17.7414303Z inflating: build/lib/torch/include/ATen/CompositeImplicitAutogradNestedTensorFunctions_inl.h 2024-08-20T21:38:17.7415212Z inflating: build/lib/torch/include/ATen/Functions.h 2024-08-20T21:38:17.7415947Z inflating: build/lib/torch/include/ATen/MetaFunctions.h 2024-08-20T21:38:17.7416887Z inflating: build/lib/torch/include/ATen/MetaFunctions_inl.h 2024-08-20T21:38:17.7417552Z inflating: build/lib/torch/include/ATen/MethodOperators.h 2024-08-20T21:38:17.7418202Z inflating: build/lib/torch/include/ATen/NativeFunctions.h 2024-08-20T21:38:17.7419613Z inflating: build/lib/torch/include/ATen/NativeMetaFunctions.h 2024-08-20T21:38:17.7423111Z inflating: build/lib/torch/include/ATen/Operators.h 2024-08-20T21:38:17.7511677Z inflating: build/lib/torch/include/ATen/RedispatchFunctions.h 2024-08-20T21:38:17.7550304Z inflating: build/lib/torch/include/ATen/RegistrationDeclarations.h 2024-08-20T21:38:17.7616786Z inflating: build/lib/torch/include/ATen/VmapGeneratedPlumbing.h 2024-08-20T21:38:17.7617884Z inflating: build/lib/torch/include/ATen/CUDAFunctions.h 2024-08-20T21:38:17.7619548Z inflating: build/lib/torch/include/ATen/CUDAFunctions_inl.h 2024-08-20T21:38:17.7620741Z creating: build/lib/torch/include/ATen/cpu/ 2024-08-20T21:38:17.7621692Z inflating: build/lib/torch/include/ATen/cpu/FlushDenormal.h 2024-08-20T21:38:17.7622767Z inflating: build/lib/torch/include/ATen/cpu/Utils.h 2024-08-20T21:38:17.7623600Z inflating: build/lib/torch/include/ATen/cpu/vml.h 2024-08-20T21:38:17.7624375Z creating: build/lib/torch/include/ATen/cpu/vec/ 2024-08-20T21:38:17.7625294Z creating: build/lib/torch/include/ATen/cpu/vec/vec256/ 2024-08-20T21:38:17.7626496Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/missing_vld1_neon.h 2024-08-20T21:38:17.7627536Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/missing_vst1_neon.h 2024-08-20T21:38:17.7628345Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vec256.h 2024-08-20T21:38:17.7629563Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vec256_bfloat16.h 2024-08-20T21:38:17.7631400Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vec256_complex_double.h 2024-08-20T21:38:17.7633230Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vec256_complex_float.h 2024-08-20T21:38:17.7634525Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vec256_convert.h 2024-08-20T21:38:17.7635864Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vec256_double.h 2024-08-20T21:38:17.7637960Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vec256_float.h 2024-08-20T21:38:17.7640281Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vec256_float_neon.h 2024-08-20T21:38:17.7642549Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vec256_half_neon.h 2024-08-20T21:38:17.7646673Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vec256_int.h 2024-08-20T21:38:17.7647752Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vec256_mask.h 2024-08-20T21:38:17.7650513Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vec256_qint.h 2024-08-20T21:38:17.7651803Z creating: build/lib/torch/include/ATen/cpu/vec/vec256/vsx/ 2024-08-20T21:38:17.7652659Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vsx/vec256_bfloat16_vsx.h 2024-08-20T21:38:17.7654019Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vsx/vec256_common_vsx.h 2024-08-20T21:38:17.7655519Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vsx/vec256_complex_double_vsx.h 2024-08-20T21:38:17.7657379Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vsx/vec256_complex_float_vsx.h 2024-08-20T21:38:17.7658968Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vsx/vec256_double_vsx.h 2024-08-20T21:38:17.7660484Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vsx/vec256_float_vsx.h 2024-08-20T21:38:17.7662046Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vsx/vec256_int16_vsx.h 2024-08-20T21:38:17.7663399Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vsx/vec256_int32_vsx.h 2024-08-20T21:38:17.7664779Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vsx/vec256_int64_vsx.h 2024-08-20T21:38:17.7666112Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vsx/vec256_qint32_vsx.h 2024-08-20T21:38:17.7667765Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vsx/vec256_qint8_vsx.h 2024-08-20T21:38:17.7669563Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vsx/vec256_quint8_vsx.h 2024-08-20T21:38:17.7671322Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/vsx/vsx_helpers.h 2024-08-20T21:38:17.7672460Z creating: build/lib/torch/include/ATen/cpu/vec/vec256/zarch/ 2024-08-20T21:38:17.7678202Z inflating: build/lib/torch/include/ATen/cpu/vec/vec256/zarch/vec256_zarch.h 2024-08-20T21:38:17.7679071Z creating: build/lib/torch/include/ATen/cpu/vec/vec512/ 2024-08-20T21:38:17.7680106Z inflating: build/lib/torch/include/ATen/cpu/vec/vec512/vec512.h 2024-08-20T21:38:17.7684082Z inflating: build/lib/torch/include/ATen/cpu/vec/vec512/vec512_bfloat16.h 2024-08-20T21:38:17.7686247Z inflating: build/lib/torch/include/ATen/cpu/vec/vec512/vec512_complex_double.h 2024-08-20T21:38:17.7689074Z inflating: build/lib/torch/include/ATen/cpu/vec/vec512/vec512_complex_float.h 2024-08-20T21:38:17.7690362Z inflating: build/lib/torch/include/ATen/cpu/vec/vec512/vec512_convert.h 2024-08-20T21:38:17.7691582Z inflating: build/lib/torch/include/ATen/cpu/vec/vec512/vec512_double.h 2024-08-20T21:38:17.7693588Z inflating: build/lib/torch/include/ATen/cpu/vec/vec512/vec512_float.h 2024-08-20T21:38:17.7697156Z inflating: build/lib/torch/include/ATen/cpu/vec/vec512/vec512_int.h 2024-08-20T21:38:17.7698427Z inflating: build/lib/torch/include/ATen/cpu/vec/vec512/vec512_mask.h 2024-08-20T21:38:17.7701535Z inflating: build/lib/torch/include/ATen/cpu/vec/vec512/vec512_qint.h 2024-08-20T21:38:17.7702636Z inflating: build/lib/torch/include/ATen/cpu/vec/functional.h 2024-08-20T21:38:17.7703747Z inflating: build/lib/torch/include/ATen/cpu/vec/functional_base.h 2024-08-20T21:38:17.7705159Z inflating: build/lib/torch/include/ATen/cpu/vec/functional_bfloat16.h 2024-08-20T21:38:17.7706585Z inflating: build/lib/torch/include/ATen/cpu/vec/intrinsics.h 2024-08-20T21:38:17.7707259Z inflating: build/lib/torch/include/ATen/cpu/vec/vec.h 2024-08-20T21:38:17.7709489Z inflating: build/lib/torch/include/ATen/cpu/vec/vec_base.h 2024-08-20T21:38:17.7710651Z inflating: build/lib/torch/include/ATen/cpu/vec/vec_convert.h 2024-08-20T21:38:17.7711684Z inflating: build/lib/torch/include/ATen/cpu/vec/vec_half.h 2024-08-20T21:38:17.7712728Z inflating: build/lib/torch/include/ATen/cpu/vec/vec_mask.h 2024-08-20T21:38:17.7713824Z inflating: build/lib/torch/include/ATen/cpu/vec/vec_n.h 2024-08-20T21:38:17.7714865Z creating: build/lib/torch/include/ATen/core/ 2024-08-20T21:38:17.7715911Z inflating: build/lib/torch/include/ATen/core/ATenGeneral.h 2024-08-20T21:38:17.7717018Z inflating: build/lib/torch/include/ATen/core/ATenOpList.h 2024-08-20T21:38:17.7718063Z inflating: build/lib/torch/include/ATen/core/ATen_fwd.h 2024-08-20T21:38:17.7718673Z inflating: build/lib/torch/include/ATen/core/ATen_pch.h 2024-08-20T21:38:17.7719755Z inflating: build/lib/torch/include/ATen/core/Array.h 2024-08-20T21:38:17.7720684Z inflating: build/lib/torch/include/ATen/core/Backtrace.h 2024-08-20T21:38:17.7721891Z inflating: build/lib/torch/include/ATen/core/CachingHostAllocator.h 2024-08-20T21:38:17.7722785Z inflating: build/lib/torch/include/ATen/core/CheckMemoryFormat.h 2024-08-20T21:38:17.7724197Z inflating: build/lib/torch/include/ATen/core/DeprecatedTypeProperties.h 2024-08-20T21:38:17.7726012Z inflating: build/lib/torch/include/ATen/core/DeprecatedTypePropertiesRegistry.h 2024-08-20T21:38:17.7727196Z inflating: build/lib/torch/include/ATen/core/Dict.h 2024-08-20T21:38:17.7728050Z inflating: build/lib/torch/include/ATen/core/Dict_inl.h 2024-08-20T21:38:17.7729191Z inflating: build/lib/torch/include/ATen/core/DimVector.h 2024-08-20T21:38:17.7729945Z inflating: build/lib/torch/include/ATen/core/Dimname.h 2024-08-20T21:38:17.7730630Z inflating: build/lib/torch/include/ATen/core/DistributionsHelper.h 2024-08-20T21:38:17.7731801Z inflating: build/lib/torch/include/ATen/core/Formatting.h 2024-08-20T21:38:17.7732862Z inflating: build/lib/torch/include/ATen/core/Generator.h 2024-08-20T21:38:17.7733961Z inflating: build/lib/torch/include/ATen/core/GeneratorForPrivateuseone.h 2024-08-20T21:38:17.7735018Z inflating: build/lib/torch/include/ATen/core/IListRef.h 2024-08-20T21:38:17.7735883Z inflating: build/lib/torch/include/ATen/core/IListRef_inl.h 2024-08-20T21:38:17.7736896Z inflating: build/lib/torch/include/ATen/core/LegacyTypeDispatch.h 2024-08-20T21:38:17.7737951Z inflating: build/lib/torch/include/ATen/core/List.h 2024-08-20T21:38:17.7738945Z inflating: build/lib/torch/include/ATen/core/List_inl.h 2024-08-20T21:38:17.7740077Z inflating: build/lib/torch/include/ATen/core/MT19937RNGEngine.h 2024-08-20T21:38:17.7741011Z inflating: build/lib/torch/include/ATen/core/NamedTensor.h 2024-08-20T21:38:17.7742279Z inflating: build/lib/torch/include/ATen/core/NestedIntSymNodeImpl.h 2024-08-20T21:38:17.7743676Z inflating: build/lib/torch/include/ATen/core/PhiloxRNGEngine.h 2024-08-20T21:38:17.7745090Z inflating: build/lib/torch/include/ATen/core/PythonFallbackKernel.h 2024-08-20T21:38:17.7746437Z inflating: build/lib/torch/include/ATen/core/PythonOpRegistrationTrampoline.h 2024-08-20T21:38:17.7747695Z inflating: build/lib/torch/include/ATen/core/QuantizerBase.h 2024-08-20T21:38:17.7748344Z inflating: build/lib/torch/include/ATen/core/Range.h 2024-08-20T21:38:17.7748937Z inflating: build/lib/torch/include/ATen/core/Reduction.h 2024-08-20T21:38:17.7749554Z extracting: build/lib/torch/include/ATen/core/Scalar.h 2024-08-20T21:38:17.7750636Z extracting: build/lib/torch/include/ATen/core/ScalarType.h 2024-08-20T21:38:17.7751514Z inflating: build/lib/torch/include/ATen/core/Tensor.h 2024-08-20T21:38:17.7752713Z inflating: build/lib/torch/include/ATen/core/TensorAccessor.h 2024-08-20T21:38:17.7753946Z inflating: build/lib/torch/include/ATen/core/TensorBase.h 2024-08-20T21:38:17.7755180Z inflating: build/lib/torch/include/ATen/core/TorchDispatchUtils.h 2024-08-20T21:38:17.7756582Z inflating: build/lib/torch/include/ATen/core/TransformationHelper.h 2024-08-20T21:38:17.7758018Z extracting: build/lib/torch/include/ATen/core/UndefinedTensorImpl.h 2024-08-20T21:38:17.7758804Z inflating: build/lib/torch/include/ATen/core/UnsafeFromTH.h 2024-08-20T21:38:17.7759700Z inflating: build/lib/torch/include/ATen/core/VariableHooksInterface.h 2024-08-20T21:38:17.7761116Z inflating: build/lib/torch/include/ATen/core/Variadic.h 2024-08-20T21:38:17.7762067Z inflating: build/lib/torch/include/ATen/core/Vitals.h 2024-08-20T21:38:17.7763102Z inflating: build/lib/torch/include/ATen/core/alias_info.h 2024-08-20T21:38:17.7764045Z inflating: build/lib/torch/include/ATen/core/blob.h 2024-08-20T21:38:17.7764721Z inflating: build/lib/torch/include/ATen/core/builtin_function.h 2024-08-20T21:38:17.7765582Z inflating: build/lib/torch/include/ATen/core/class_type.h 2024-08-20T21:38:17.7766440Z inflating: build/lib/torch/include/ATen/core/custom_class.h 2024-08-20T21:38:17.7767407Z inflating: build/lib/torch/include/ATen/core/dynamic_type.h 2024-08-20T21:38:17.7768628Z inflating: build/lib/torch/include/ATen/core/enum_type.h 2024-08-20T21:38:17.7769316Z inflating: build/lib/torch/include/ATen/core/function.h 2024-08-20T21:38:17.7770624Z inflating: build/lib/torch/include/ATen/core/function_schema.h 2024-08-20T21:38:17.7771484Z inflating: build/lib/torch/include/ATen/core/function_schema_inl.h 2024-08-20T21:38:17.7772175Z inflating: build/lib/torch/include/ATen/core/functional.h 2024-08-20T21:38:17.7772804Z inflating: build/lib/torch/include/ATen/core/grad_mode.h 2024-08-20T21:38:17.7773477Z inflating: build/lib/torch/include/ATen/core/interned_strings.h 2024-08-20T21:38:17.7774300Z inflating: build/lib/torch/include/ATen/core/interned_strings_class.h 2024-08-20T21:38:17.7775350Z inflating: build/lib/torch/include/ATen/core/ivalue.h 2024-08-20T21:38:17.7780783Z inflating: build/lib/torch/include/ATen/core/ivalue_inl.h 2024-08-20T21:38:17.7781810Z inflating: build/lib/torch/include/ATen/core/ivalue_to.h 2024-08-20T21:38:17.7786322Z inflating: build/lib/torch/include/ATen/core/jit_type.h 2024-08-20T21:38:17.7788488Z inflating: build/lib/torch/include/ATen/core/jit_type_base.h 2024-08-20T21:38:17.7789720Z inflating: build/lib/torch/include/ATen/core/operator_name.h 2024-08-20T21:38:17.7790975Z inflating: build/lib/torch/include/ATen/core/qualified_name.h 2024-08-20T21:38:17.7792023Z inflating: build/lib/torch/include/ATen/core/rref_interface.h 2024-08-20T21:38:17.7793042Z inflating: build/lib/torch/include/ATen/core/stack.h 2024-08-20T21:38:17.7794150Z inflating: build/lib/torch/include/ATen/core/symbol.h 2024-08-20T21:38:17.7795304Z inflating: build/lib/torch/include/ATen/core/type_factory.h 2024-08-20T21:38:17.7795957Z inflating: build/lib/torch/include/ATen/core/type_ptr.h 2024-08-20T21:38:17.7796565Z extracting: build/lib/torch/include/ATen/core/typeid.h 2024-08-20T21:38:17.7809610Z inflating: build/lib/torch/include/ATen/core/TensorBody.h 2024-08-20T21:38:17.7813662Z inflating: build/lib/torch/include/ATen/core/aten_interned_strings.h 2024-08-20T21:38:17.7814922Z inflating: build/lib/torch/include/ATen/core/enum_tag.h 2024-08-20T21:38:17.7815561Z creating: build/lib/torch/include/ATen/core/boxing/ 2024-08-20T21:38:17.7816791Z inflating: build/lib/torch/include/ATen/core/boxing/BoxedKernel.h 2024-08-20T21:38:17.7817965Z inflating: build/lib/torch/include/ATen/core/boxing/BoxedKernel_impl.h 2024-08-20T21:38:17.7819172Z inflating: build/lib/torch/include/ATen/core/boxing/KernelFunction.h 2024-08-20T21:38:17.7820765Z inflating: build/lib/torch/include/ATen/core/boxing/KernelFunction_impl.h 2024-08-20T21:38:17.7822150Z inflating: build/lib/torch/include/ATen/core/boxing/OperatorKernel.h 2024-08-20T21:38:17.7823031Z creating: build/lib/torch/include/ATen/core/boxing/impl/ 2024-08-20T21:38:17.7824070Z inflating: build/lib/torch/include/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h 2024-08-20T21:38:17.7825216Z inflating: build/lib/torch/include/ATen/core/boxing/impl/WrapFunctionIntoRuntimeFunctor.h 2024-08-20T21:38:17.7827110Z inflating: build/lib/torch/include/ATen/core/boxing/impl/boxing.h 2024-08-20T21:38:17.7828540Z inflating: build/lib/torch/include/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h 2024-08-20T21:38:17.7830053Z inflating: build/lib/torch/include/ATen/core/boxing/impl/test_helpers.h 2024-08-20T21:38:17.7830794Z creating: build/lib/torch/include/ATen/core/dispatch/ 2024-08-20T21:38:17.7831501Z inflating: build/lib/torch/include/ATen/core/dispatch/CppSignature.h 2024-08-20T21:38:17.7833011Z inflating: build/lib/torch/include/ATen/core/dispatch/DispatchKeyExtractor.h 2024-08-20T21:38:17.7833920Z inflating: build/lib/torch/include/ATen/core/dispatch/Dispatcher.h 2024-08-20T21:38:17.7835453Z inflating: build/lib/torch/include/ATen/core/dispatch/ObservedOperators.h 2024-08-20T21:38:17.7837020Z inflating: build/lib/torch/include/ATen/core/dispatch/OperatorEntry.h 2024-08-20T21:38:17.7838304Z inflating: build/lib/torch/include/ATen/core/dispatch/OperatorOptions.h 2024-08-20T21:38:17.7839623Z inflating: build/lib/torch/include/ATen/core/dispatch/RegistrationHandleRAII.h 2024-08-20T21:38:17.7840564Z creating: build/lib/torch/include/ATen/core/op_registration/ 2024-08-20T21:38:17.7841786Z inflating: build/lib/torch/include/ATen/core/op_registration/adaption.h 2024-08-20T21:38:17.7843325Z inflating: build/lib/torch/include/ATen/core/op_registration/infer_schema.h 2024-08-20T21:38:17.7844199Z inflating: build/lib/torch/include/ATen/core/op_registration/op_allowlist.h 2024-08-20T21:38:17.7845389Z inflating: build/lib/torch/include/ATen/core/op_registration/op_registration.h 2024-08-20T21:38:17.7846209Z creating: build/lib/torch/include/ATen/cuda/ 2024-08-20T21:38:17.7846879Z inflating: build/lib/torch/include/ATen/cuda/ApplyGridUtils.cuh 2024-08-20T21:38:17.7848186Z inflating: build/lib/torch/include/ATen/cuda/AsmUtils.cuh 2024-08-20T21:38:17.7849364Z inflating: build/lib/torch/include/ATen/cuda/Atomic.cuh 2024-08-20T21:38:17.7850211Z inflating: build/lib/torch/include/ATen/cuda/CUDAApplyUtils.cuh 2024-08-20T21:38:17.7851657Z inflating: build/lib/torch/include/ATen/cuda/CUDAGraphsUtils.cuh 2024-08-20T21:38:17.7852571Z inflating: build/lib/torch/include/ATen/cuda/CUDATensorMethods.cuh 2024-08-20T21:38:17.7853861Z inflating: build/lib/torch/include/ATen/cuda/DeviceUtils.cuh 2024-08-20T21:38:17.7854928Z inflating: build/lib/torch/include/ATen/cuda/NumericLimits.cuh 2024-08-20T21:38:17.7856052Z inflating: build/lib/torch/include/ATen/cuda/PhiloxUtils.cuh 2024-08-20T21:38:17.7857276Z inflating: build/lib/torch/include/ATen/cuda/ScanUtils.cuh 2024-08-20T21:38:17.7858438Z inflating: build/lib/torch/include/ATen/cuda/cub.cuh 2024-08-20T21:38:17.7859400Z inflating: build/lib/torch/include/ATen/cuda/cub_definitions.cuh 2024-08-20T21:38:17.7860641Z inflating: build/lib/torch/include/ATen/cuda/ATenCUDAGeneral.h 2024-08-20T21:38:17.7861938Z inflating: build/lib/torch/include/ATen/cuda/CUDABlas.h 2024-08-20T21:38:17.7862767Z inflating: build/lib/torch/include/ATen/cuda/CUDAContext.h 2024-08-20T21:38:17.7863866Z inflating: build/lib/torch/include/ATen/cuda/CUDAContextLight.h 2024-08-20T21:38:17.7865176Z inflating: build/lib/torch/include/ATen/cuda/CUDADataType.h 2024-08-20T21:38:17.7866428Z inflating: build/lib/torch/include/ATen/cuda/CUDADevice.h 2024-08-20T21:38:17.7867262Z inflating: build/lib/torch/include/ATen/cuda/CUDAEvent.h 2024-08-20T21:38:17.7868573Z inflating: build/lib/torch/include/ATen/cuda/CUDAGeneratorImpl.h 2024-08-20T21:38:17.7869861Z inflating: build/lib/torch/include/ATen/cuda/CUDAGraph.h 2024-08-20T21:38:17.7871013Z inflating: build/lib/torch/include/ATen/cuda/CUDASparse.h 2024-08-20T21:38:17.7872040Z inflating: build/lib/torch/include/ATen/cuda/CUDASparseBlas.h 2024-08-20T21:38:17.7873427Z inflating: build/lib/torch/include/ATen/cuda/CUDASparseDescriptors.h 2024-08-20T21:38:17.7874621Z inflating: build/lib/torch/include/ATen/cuda/CUDAUtils.h 2024-08-20T21:38:17.7875723Z inflating: build/lib/torch/include/ATen/cuda/CachingHostAllocator.h 2024-08-20T21:38:17.7876819Z inflating: build/lib/torch/include/ATen/cuda/EmptyTensor.h 2024-08-20T21:38:17.7878170Z inflating: build/lib/torch/include/ATen/cuda/Exceptions.h 2024-08-20T21:38:17.7879457Z inflating: build/lib/torch/include/ATen/cuda/PeerToPeerAccess.h 2024-08-20T21:38:17.7880323Z inflating: build/lib/torch/include/ATen/cuda/PhiloxCudaState.h 2024-08-20T21:38:17.7881758Z inflating: build/lib/torch/include/ATen/cuda/PinnedMemoryAllocator.h 2024-08-20T21:38:17.7882932Z inflating: build/lib/torch/include/ATen/cuda/Sleep.h 2024-08-20T21:38:17.7883953Z inflating: build/lib/torch/include/ATen/cuda/ThrustAllocator.h 2024-08-20T21:38:17.7884602Z inflating: build/lib/torch/include/ATen/cuda/cub.h 2024-08-20T21:38:17.7885602Z inflating: build/lib/torch/include/ATen/cuda/jiterator.h 2024-08-20T21:38:17.7886609Z inflating: build/lib/torch/include/ATen/cuda/jiterator_impl.h 2024-08-20T21:38:17.7887694Z inflating: build/lib/torch/include/ATen/cuda/llvm_jit_strings.h 2024-08-20T21:38:17.7888901Z creating: build/lib/torch/include/ATen/cuda/detail/ 2024-08-20T21:38:17.7889810Z inflating: build/lib/torch/include/ATen/cuda/detail/IndexUtils.cuh 2024-08-20T21:38:17.7891145Z inflating: build/lib/torch/include/ATen/cuda/detail/IntegerDivider.cuh 2024-08-20T21:38:17.7892114Z inflating: build/lib/torch/include/ATen/cuda/detail/OffsetCalculator.cuh 2024-08-20T21:38:17.7893831Z inflating: build/lib/torch/include/ATen/cuda/detail/PhiloxCudaStateRaw.cuh 2024-08-20T21:38:17.7895363Z inflating: build/lib/torch/include/ATen/cuda/detail/TensorInfo.cuh 2024-08-20T21:38:17.7896789Z inflating: build/lib/torch/include/ATen/cuda/detail/UnpackRaw.cuh 2024-08-20T21:38:17.7897532Z inflating: build/lib/torch/include/ATen/cuda/detail/CUDAHooks.h 2024-08-20T21:38:17.7898904Z inflating: build/lib/torch/include/ATen/cuda/detail/DeviceThreadHandles.h 2024-08-20T21:38:17.7900237Z inflating: build/lib/torch/include/ATen/cuda/detail/KernelUtils.h 2024-08-20T21:38:17.7901496Z inflating: build/lib/torch/include/ATen/cuda/detail/LazyNVRTC.h 2024-08-20T21:38:17.7902628Z creating: build/lib/torch/include/ATen/cuda/tunable/ 2024-08-20T21:38:17.7903602Z inflating: build/lib/torch/include/ATen/cuda/tunable/GemmCommon.h 2024-08-20T21:38:17.7904777Z inflating: build/lib/torch/include/ATen/cuda/tunable/GemmHipblaslt.h 2024-08-20T21:38:17.7906157Z inflating: build/lib/torch/include/ATen/cuda/tunable/GemmRocblas.h 2024-08-20T21:38:17.7907453Z inflating: build/lib/torch/include/ATen/cuda/tunable/StreamTimer.h 2024-08-20T21:38:17.7908840Z inflating: build/lib/torch/include/ATen/cuda/tunable/Tunable.h 2024-08-20T21:38:17.7910149Z inflating: build/lib/torch/include/ATen/cuda/tunable/TunableGemm.h 2024-08-20T21:38:17.7911448Z inflating: build/lib/torch/include/ATen/cuda/tunable/TunableOp.h 2024-08-20T21:38:17.7912593Z creating: build/lib/torch/include/ATen/cudnn/ 2024-08-20T21:38:17.7913696Z inflating: build/lib/torch/include/ATen/cudnn/Descriptors.h 2024-08-20T21:38:17.7914978Z extracting: build/lib/torch/include/ATen/cudnn/Exceptions.h 2024-08-20T21:38:17.7916183Z inflating: build/lib/torch/include/ATen/cudnn/Handle.h 2024-08-20T21:38:17.7917327Z extracting: build/lib/torch/include/ATen/cudnn/Handles.h 2024-08-20T21:38:17.7918447Z inflating: build/lib/torch/include/ATen/cudnn/Types.h 2024-08-20T21:38:17.7919554Z inflating: build/lib/torch/include/ATen/cudnn/Utils.h 2024-08-20T21:38:17.7921112Z inflating: build/lib/torch/include/ATen/cudnn/cudnn-wrapper.h 2024-08-20T21:38:17.7922274Z creating: build/lib/torch/include/ATen/functorch/ 2024-08-20T21:38:17.7923518Z inflating: build/lib/torch/include/ATen/functorch/ADInterpreters.h 2024-08-20T21:38:17.7925001Z inflating: build/lib/torch/include/ATen/functorch/BatchRulesHelper.h 2024-08-20T21:38:17.7926683Z inflating: build/lib/torch/include/ATen/functorch/BatchedFallback.h 2024-08-20T21:38:17.7928042Z inflating: build/lib/torch/include/ATen/functorch/BatchedTensorImpl.h 2024-08-20T21:38:17.7929697Z inflating: build/lib/torch/include/ATen/functorch/BatchingMetaprogramming.h 2024-08-20T21:38:17.7931487Z inflating: build/lib/torch/include/ATen/functorch/DynamicLayer.h 2024-08-20T21:38:17.7933072Z inflating: build/lib/torch/include/ATen/functorch/FunctionalizeInterpreter.h 2024-08-20T21:38:17.7934667Z inflating: build/lib/torch/include/ATen/functorch/Interpreter.h 2024-08-20T21:38:17.7936183Z inflating: build/lib/torch/include/ATen/functorch/LegacyVmapTransforms.h 2024-08-20T21:38:17.7937597Z inflating: build/lib/torch/include/ATen/functorch/Macros.h 2024-08-20T21:38:17.7938997Z inflating: build/lib/torch/include/ATen/functorch/PlumbingHelper.h 2024-08-20T21:38:17.7940536Z inflating: build/lib/torch/include/ATen/functorch/TensorWrapper.h 2024-08-20T21:38:17.7941940Z inflating: build/lib/torch/include/ATen/functorch/VmapInterpreter.h 2024-08-20T21:38:17.7943173Z creating: build/lib/torch/include/ATen/ops/ 2024-08-20T21:38:17.7944337Z inflating: build/lib/torch/include/ATen/ops/from_blob.h 2024-08-20T21:38:17.7945472Z inflating: build/lib/torch/include/ATen/ops/tensor.h 2024-08-20T21:38:17.7946707Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool2d.h 2024-08-20T21:38:17.7948245Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool2d_backward.h 2024-08-20T21:38:17.7950314Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool2d_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.7952509Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool2d_backward_cpu_dispatch.h 2024-08-20T21:38:17.7954435Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool2d_backward_cuda_dispatch.h 2024-08-20T21:38:17.7956299Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool2d_backward_native.h 2024-08-20T21:38:17.7958060Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool2d_backward_ops.h 2024-08-20T21:38:17.7960067Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool2d_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.7962063Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool2d_cpu_dispatch.h 2024-08-20T21:38:17.7963826Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool2d_cuda_dispatch.h 2024-08-20T21:38:17.7965491Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool2d_native.h 2024-08-20T21:38:17.7967054Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool2d_ops.h 2024-08-20T21:38:17.7968306Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool3d.h 2024-08-20T21:38:17.7969826Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool3d_backward.h 2024-08-20T21:38:17.7971734Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool3d_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.7973937Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool3d_backward_cpu_dispatch.h 2024-08-20T21:38:17.7975865Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool3d_backward_cuda_dispatch.h 2024-08-20T21:38:17.7977705Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool3d_backward_native.h 2024-08-20T21:38:17.7979484Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool3d_backward_ops.h 2024-08-20T21:38:17.7981558Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool3d_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.7983567Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool3d_cpu_dispatch.h 2024-08-20T21:38:17.7985299Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool3d_cuda_dispatch.h 2024-08-20T21:38:17.7986969Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool3d_native.h 2024-08-20T21:38:17.7988527Z inflating: build/lib/torch/include/ATen/ops/_adaptive_avg_pool3d_ops.h 2024-08-20T21:38:17.7989916Z inflating: build/lib/torch/include/ATen/ops/_add_batch_dim.h 2024-08-20T21:38:17.7991620Z inflating: build/lib/torch/include/ATen/ops/_add_batch_dim_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.7993577Z inflating: build/lib/torch/include/ATen/ops/_add_batch_dim_native.h 2024-08-20T21:38:17.7994964Z inflating: build/lib/torch/include/ATen/ops/_add_batch_dim_ops.h 2024-08-20T21:38:17.7996210Z inflating: build/lib/torch/include/ATen/ops/_add_relu.h 2024-08-20T21:38:17.7997805Z inflating: build/lib/torch/include/ATen/ops/_add_relu_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.7999537Z inflating: build/lib/torch/include/ATen/ops/_add_relu_cpu_dispatch.h 2024-08-20T21:38:17.8001011Z inflating: build/lib/torch/include/ATen/ops/_add_relu_meta_dispatch.h 2024-08-20T21:38:17.8002419Z inflating: build/lib/torch/include/ATen/ops/_add_relu_native.h 2024-08-20T21:38:17.8003696Z inflating: build/lib/torch/include/ATen/ops/_add_relu_ops.h 2024-08-20T21:38:17.8004965Z inflating: build/lib/torch/include/ATen/ops/_addmm_activation.h 2024-08-20T21:38:17.8007028Z inflating: build/lib/torch/include/ATen/ops/_addmm_activation_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.8008971Z inflating: build/lib/torch/include/ATen/ops/_addmm_activation_cpu_dispatch.h 2024-08-20T21:38:17.8010670Z inflating: build/lib/torch/include/ATen/ops/_addmm_activation_cuda_dispatch.h 2024-08-20T21:38:17.8012203Z inflating: build/lib/torch/include/ATen/ops/_addmm_activation_meta.h 2024-08-20T21:38:17.8013787Z inflating: build/lib/torch/include/ATen/ops/_addmm_activation_meta_dispatch.h 2024-08-20T21:38:17.8015400Z inflating: build/lib/torch/include/ATen/ops/_addmm_activation_native.h 2024-08-20T21:38:17.8016898Z inflating: build/lib/torch/include/ATen/ops/_addmm_activation_ops.h 2024-08-20T21:38:17.8018188Z inflating: build/lib/torch/include/ATen/ops/_aminmax.h 2024-08-20T21:38:17.8019819Z inflating: build/lib/torch/include/ATen/ops/_aminmax_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8021537Z inflating: build/lib/torch/include/ATen/ops/_aminmax_cpu_dispatch.h 2024-08-20T21:38:17.8023033Z inflating: build/lib/torch/include/ATen/ops/_aminmax_cuda_dispatch.h 2024-08-20T21:38:17.8024534Z inflating: build/lib/torch/include/ATen/ops/_aminmax_native.h 2024-08-20T21:38:17.8025941Z inflating: build/lib/torch/include/ATen/ops/_aminmax_ops.h 2024-08-20T21:38:17.8027487Z inflating: build/lib/torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale.h 2024-08-20T21:38:17.8029793Z inflating: build/lib/torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8032123Z inflating: build/lib/torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_cpu_dispatch.h 2024-08-20T21:38:17.8034324Z inflating: build/lib/torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_cuda_dispatch.h 2024-08-20T21:38:17.8036448Z inflating: build/lib/torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_native.h 2024-08-20T21:38:17.8038451Z inflating: build/lib/torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_ops.h 2024-08-20T21:38:17.8040174Z inflating: build/lib/torch/include/ATen/ops/_amp_update_scale.h 2024-08-20T21:38:17.8041893Z inflating: build/lib/torch/include/ATen/ops/_amp_update_scale_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8043803Z inflating: build/lib/torch/include/ATen/ops/_amp_update_scale_cpu_dispatch.h 2024-08-20T21:38:17.8045480Z inflating: build/lib/torch/include/ATen/ops/_amp_update_scale_cuda_dispatch.h 2024-08-20T21:38:17.8046998Z inflating: build/lib/torch/include/ATen/ops/_amp_update_scale_meta_dispatch.h 2024-08-20T21:38:17.8048524Z inflating: build/lib/torch/include/ATen/ops/_amp_update_scale_native.h 2024-08-20T21:38:17.8049994Z inflating: build/lib/torch/include/ATen/ops/_amp_update_scale_ops.h 2024-08-20T21:38:17.8051111Z inflating: build/lib/torch/include/ATen/ops/_assert_async.h 2024-08-20T21:38:17.8052527Z inflating: build/lib/torch/include/ATen/ops/_assert_async_cpu_dispatch.h 2024-08-20T21:38:17.8054305Z inflating: build/lib/torch/include/ATen/ops/_assert_async_cuda_dispatch.h 2024-08-20T21:38:17.8055765Z inflating: build/lib/torch/include/ATen/ops/_assert_async_native.h 2024-08-20T21:38:17.8057137Z inflating: build/lib/torch/include/ATen/ops/_assert_async_ops.h 2024-08-20T21:38:17.8058445Z inflating: build/lib/torch/include/ATen/ops/_assert_scalar.h 2024-08-20T21:38:17.8060238Z inflating: build/lib/torch/include/ATen/ops/_assert_scalar_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8062040Z inflating: build/lib/torch/include/ATen/ops/_assert_scalar_native.h 2024-08-20T21:38:17.8063438Z inflating: build/lib/torch/include/ATen/ops/_assert_scalar_ops.h 2024-08-20T21:38:17.8064881Z inflating: build/lib/torch/include/ATen/ops/_assert_tensor_metadata.h 2024-08-20T21:38:17.8066804Z inflating: build/lib/torch/include/ATen/ops/_assert_tensor_metadata_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8068940Z inflating: build/lib/torch/include/ATen/ops/_assert_tensor_metadata_native.h 2024-08-20T21:38:17.8070577Z inflating: build/lib/torch/include/ATen/ops/_assert_tensor_metadata_ops.h 2024-08-20T21:38:17.8072173Z inflating: build/lib/torch/include/ATen/ops/_autocast_to_full_precision.h 2024-08-20T21:38:17.8074137Z inflating: build/lib/torch/include/ATen/ops/_autocast_to_full_precision_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8076257Z inflating: build/lib/torch/include/ATen/ops/_autocast_to_full_precision_native.h 2024-08-20T21:38:17.8077952Z inflating: build/lib/torch/include/ATen/ops/_autocast_to_full_precision_ops.h 2024-08-20T21:38:17.8079597Z inflating: build/lib/torch/include/ATen/ops/_autocast_to_reduced_precision.h 2024-08-20T21:38:17.8081659Z inflating: build/lib/torch/include/ATen/ops/_autocast_to_reduced_precision_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8083809Z inflating: build/lib/torch/include/ATen/ops/_autocast_to_reduced_precision_native.h 2024-08-20T21:38:17.8085242Z inflating: build/lib/torch/include/ATen/ops/_autocast_to_reduced_precision_ops.h 2024-08-20T21:38:17.8086392Z inflating: build/lib/torch/include/ATen/ops/_backward.h 2024-08-20T21:38:17.8087956Z inflating: build/lib/torch/include/ATen/ops/_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8089552Z inflating: build/lib/torch/include/ATen/ops/_backward_native.h 2024-08-20T21:38:17.8090843Z inflating: build/lib/torch/include/ATen/ops/_backward_ops.h 2024-08-20T21:38:17.8092059Z inflating: build/lib/torch/include/ATen/ops/_batch_norm_impl_index.h 2024-08-20T21:38:17.8093652Z inflating: build/lib/torch/include/ATen/ops/_batch_norm_impl_index_backward.h 2024-08-20T21:38:17.8095528Z inflating: build/lib/torch/include/ATen/ops/_batch_norm_impl_index_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8097684Z inflating: build/lib/torch/include/ATen/ops/_batch_norm_impl_index_backward_native.h 2024-08-20T21:38:17.8099498Z inflating: build/lib/torch/include/ATen/ops/_batch_norm_impl_index_backward_ops.h 2024-08-20T21:38:17.8101630Z inflating: build/lib/torch/include/ATen/ops/_batch_norm_impl_index_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8103565Z inflating: build/lib/torch/include/ATen/ops/_batch_norm_impl_index_native.h 2024-08-20T21:38:17.8105158Z inflating: build/lib/torch/include/ATen/ops/_batch_norm_impl_index_ops.h 2024-08-20T21:38:17.8106647Z inflating: build/lib/torch/include/ATen/ops/_batch_norm_no_update.h 2024-08-20T21:38:17.8108506Z inflating: build/lib/torch/include/ATen/ops/_batch_norm_no_update_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8110460Z inflating: build/lib/torch/include/ATen/ops/_batch_norm_no_update_native.h 2024-08-20T21:38:17.8112054Z inflating: build/lib/torch/include/ATen/ops/_batch_norm_no_update_ops.h 2024-08-20T21:38:17.8113574Z inflating: build/lib/torch/include/ATen/ops/_batch_norm_with_update.h 2024-08-20T21:38:17.8115476Z inflating: build/lib/torch/include/ATen/ops/_batch_norm_with_update_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8117702Z inflating: build/lib/torch/include/ATen/ops/_batch_norm_with_update_cpu_dispatch.h 2024-08-20T21:38:17.8119511Z inflating: build/lib/torch/include/ATen/ops/_batch_norm_with_update_cuda_dispatch.h 2024-08-20T21:38:17.8121260Z inflating: build/lib/torch/include/ATen/ops/_batch_norm_with_update_native.h 2024-08-20T21:38:17.8122872Z inflating: build/lib/torch/include/ATen/ops/_batch_norm_with_update_ops.h 2024-08-20T21:38:17.8124243Z inflating: build/lib/torch/include/ATen/ops/_cast_Byte.h 2024-08-20T21:38:17.8125978Z inflating: build/lib/torch/include/ATen/ops/_cast_Byte_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8127233Z inflating: build/lib/torch/include/ATen/ops/_cast_Byte_native.h 2024-08-20T21:38:17.8128551Z inflating: build/lib/torch/include/ATen/ops/_cast_Byte_ops.h 2024-08-20T21:38:17.8129864Z inflating: build/lib/torch/include/ATen/ops/_cast_Char.h 2024-08-20T21:38:17.8131455Z inflating: build/lib/torch/include/ATen/ops/_cast_Char_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8133085Z inflating: build/lib/torch/include/ATen/ops/_cast_Char_native.h 2024-08-20T21:38:17.8134400Z inflating: build/lib/torch/include/ATen/ops/_cast_Char_ops.h 2024-08-20T21:38:17.8135599Z inflating: build/lib/torch/include/ATen/ops/_cast_Double.h 2024-08-20T21:38:17.8137257Z inflating: build/lib/torch/include/ATen/ops/_cast_Double_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8138645Z inflating: build/lib/torch/include/ATen/ops/_cast_Double_native.h 2024-08-20T21:38:17.8140039Z inflating: build/lib/torch/include/ATen/ops/_cast_Double_ops.h 2024-08-20T21:38:17.8141273Z inflating: build/lib/torch/include/ATen/ops/_cast_Float.h 2024-08-20T21:38:17.8142870Z inflating: build/lib/torch/include/ATen/ops/_cast_Float_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8144409Z inflating: build/lib/torch/include/ATen/ops/_cast_Float_native.h 2024-08-20T21:38:17.8145740Z inflating: build/lib/torch/include/ATen/ops/_cast_Float_ops.h 2024-08-20T21:38:17.8146964Z inflating: build/lib/torch/include/ATen/ops/_cast_Half.h 2024-08-20T21:38:17.8148558Z inflating: build/lib/torch/include/ATen/ops/_cast_Half_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8150258Z inflating: build/lib/torch/include/ATen/ops/_cast_Half_native.h 2024-08-20T21:38:17.8151572Z inflating: build/lib/torch/include/ATen/ops/_cast_Half_ops.h 2024-08-20T21:38:17.8152736Z inflating: build/lib/torch/include/ATen/ops/_cast_Int.h 2024-08-20T21:38:17.8154307Z inflating: build/lib/torch/include/ATen/ops/_cast_Int_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8155970Z inflating: build/lib/torch/include/ATen/ops/_cast_Int_native.h 2024-08-20T21:38:17.8157262Z inflating: build/lib/torch/include/ATen/ops/_cast_Int_ops.h 2024-08-20T21:38:17.8158466Z inflating: build/lib/torch/include/ATen/ops/_cast_Long.h 2024-08-20T21:38:17.8160080Z inflating: build/lib/torch/include/ATen/ops/_cast_Long_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8161574Z inflating: build/lib/torch/include/ATen/ops/_cast_Long_native.h 2024-08-20T21:38:17.8162884Z inflating: build/lib/torch/include/ATen/ops/_cast_Long_ops.h 2024-08-20T21:38:17.8164108Z inflating: build/lib/torch/include/ATen/ops/_cast_Short.h 2024-08-20T21:38:17.8165528Z inflating: build/lib/torch/include/ATen/ops/_cast_Short_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8167243Z inflating: build/lib/torch/include/ATen/ops/_cast_Short_native.h 2024-08-20T21:38:17.8168553Z inflating: build/lib/torch/include/ATen/ops/_cast_Short_ops.h 2024-08-20T21:38:17.8169843Z inflating: build/lib/torch/include/ATen/ops/_cdist_backward.h 2024-08-20T21:38:17.8171579Z inflating: build/lib/torch/include/ATen/ops/_cdist_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8173463Z inflating: build/lib/torch/include/ATen/ops/_cdist_backward_cpu_dispatch.h 2024-08-20T21:38:17.8175274Z inflating: build/lib/torch/include/ATen/ops/_cdist_backward_cuda_dispatch.h 2024-08-20T21:38:17.8176841Z inflating: build/lib/torch/include/ATen/ops/_cdist_backward_native.h 2024-08-20T21:38:17.8178277Z inflating: build/lib/torch/include/ATen/ops/_cdist_backward_ops.h 2024-08-20T21:38:17.8179586Z inflating: build/lib/torch/include/ATen/ops/_cdist_forward.h 2024-08-20T21:38:17.8181913Z inflating: build/lib/torch/include/ATen/ops/_cdist_forward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8183521Z inflating: build/lib/torch/include/ATen/ops/_cdist_forward_cpu_dispatch.h 2024-08-20T21:38:17.8185135Z inflating: build/lib/torch/include/ATen/ops/_cdist_forward_cuda_dispatch.h 2024-08-20T21:38:17.8186653Z inflating: build/lib/torch/include/ATen/ops/_cdist_forward_native.h 2024-08-20T21:38:17.8188071Z inflating: build/lib/torch/include/ATen/ops/_cdist_forward_ops.h 2024-08-20T21:38:17.8189588Z inflating: build/lib/torch/include/ATen/ops/_cholesky_solve_helper.h 2024-08-20T21:38:17.8191503Z inflating: build/lib/torch/include/ATen/ops/_cholesky_solve_helper_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8193522Z inflating: build/lib/torch/include/ATen/ops/_cholesky_solve_helper_cpu_dispatch.h 2024-08-20T21:38:17.8195328Z inflating: build/lib/torch/include/ATen/ops/_cholesky_solve_helper_cuda_dispatch.h 2024-08-20T21:38:17.8197031Z inflating: build/lib/torch/include/ATen/ops/_cholesky_solve_helper_native.h 2024-08-20T21:38:17.8198643Z inflating: build/lib/torch/include/ATen/ops/_cholesky_solve_helper_ops.h 2024-08-20T21:38:17.8200225Z inflating: build/lib/torch/include/ATen/ops/_choose_qparams_per_tensor.h 2024-08-20T21:38:17.8202213Z inflating: build/lib/torch/include/ATen/ops/_choose_qparams_per_tensor_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8204226Z inflating: build/lib/torch/include/ATen/ops/_choose_qparams_per_tensor_native.h 2024-08-20T21:38:17.8205890Z inflating: build/lib/torch/include/ATen/ops/_choose_qparams_per_tensor_ops.h 2024-08-20T21:38:17.8207309Z inflating: build/lib/torch/include/ATen/ops/_chunk_cat.h 2024-08-20T21:38:17.8209056Z inflating: build/lib/torch/include/ATen/ops/_chunk_cat_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8210845Z inflating: build/lib/torch/include/ATen/ops/_chunk_cat_cuda_dispatch.h 2024-08-20T21:38:17.8212287Z inflating: build/lib/torch/include/ATen/ops/_chunk_cat_native.h 2024-08-20T21:38:17.8213574Z inflating: build/lib/torch/include/ATen/ops/_chunk_cat_ops.h 2024-08-20T21:38:17.8214775Z inflating: build/lib/torch/include/ATen/ops/_coalesce.h 2024-08-20T21:38:17.8216340Z inflating: build/lib/torch/include/ATen/ops/_coalesce_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8217969Z inflating: build/lib/torch/include/ATen/ops/_coalesce_native.h 2024-08-20T21:38:17.8219261Z inflating: build/lib/torch/include/ATen/ops/_coalesce_ops.h 2024-08-20T21:38:17.8220577Z inflating: build/lib/torch/include/ATen/ops/_coalesced.h 2024-08-20T21:38:17.8221885Z inflating: build/lib/torch/include/ATen/ops/_coalesced_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8223691Z inflating: build/lib/torch/include/ATen/ops/_coalesced_meta_dispatch.h 2024-08-20T21:38:17.8224992Z inflating: build/lib/torch/include/ATen/ops/_coalesced_native.h 2024-08-20T21:38:17.8226426Z inflating: build/lib/torch/include/ATen/ops/_coalesced_ops.h 2024-08-20T21:38:17.8227524Z inflating: build/lib/torch/include/ATen/ops/_compute_linear_combination.h 2024-08-20T21:38:17.8229220Z inflating: build/lib/torch/include/ATen/ops/_compute_linear_combination_cpu_dispatch.h 2024-08-20T21:38:17.8231124Z inflating: build/lib/torch/include/ATen/ops/_compute_linear_combination_cuda_dispatch.h 2024-08-20T21:38:17.8232950Z inflating: build/lib/torch/include/ATen/ops/_compute_linear_combination_native.h 2024-08-20T21:38:17.8234783Z inflating: build/lib/torch/include/ATen/ops/_compute_linear_combination_ops.h 2024-08-20T21:38:17.8236342Z inflating: build/lib/torch/include/ATen/ops/_conj.h 2024-08-20T21:38:17.8237847Z inflating: build/lib/torch/include/ATen/ops/_conj_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8239410Z inflating: build/lib/torch/include/ATen/ops/_conj_copy.h 2024-08-20T21:38:17.8241004Z inflating: build/lib/torch/include/ATen/ops/_conj_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8243347Z inflating: build/lib/torch/include/ATen/ops/_conj_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.8245217Z inflating: build/lib/torch/include/ATen/ops/_conj_copy_native.h 2024-08-20T21:38:17.8246398Z inflating: build/lib/torch/include/ATen/ops/_conj_copy_ops.h 2024-08-20T21:38:17.8247647Z inflating: build/lib/torch/include/ATen/ops/_conj_native.h 2024-08-20T21:38:17.8248805Z inflating: build/lib/torch/include/ATen/ops/_conj_ops.h 2024-08-20T21:38:17.8250283Z inflating: build/lib/torch/include/ATen/ops/_conj_physical.h 2024-08-20T21:38:17.8251981Z inflating: build/lib/torch/include/ATen/ops/_conj_physical_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8253748Z inflating: build/lib/torch/include/ATen/ops/_conj_physical_native.h 2024-08-20T21:38:17.8255161Z inflating: build/lib/torch/include/ATen/ops/_conj_physical_ops.h 2024-08-20T21:38:17.8256491Z inflating: build/lib/torch/include/ATen/ops/_conv_depthwise2d.h 2024-08-20T21:38:17.8258026Z inflating: build/lib/torch/include/ATen/ops/_conv_depthwise2d_cuda_dispatch.h 2024-08-20T21:38:17.8259418Z inflating: build/lib/torch/include/ATen/ops/_conv_depthwise2d_native.h 2024-08-20T21:38:17.8260976Z inflating: build/lib/torch/include/ATen/ops/_conv_depthwise2d_ops.h 2024-08-20T21:38:17.8262568Z inflating: build/lib/torch/include/ATen/ops/_convert_indices_from_coo_to_csr.h 2024-08-20T21:38:17.8264822Z inflating: build/lib/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.8267225Z inflating: build/lib/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_cpu_dispatch.h 2024-08-20T21:38:17.8269225Z inflating: build/lib/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_cuda_dispatch.h 2024-08-20T21:38:17.8270899Z inflating: build/lib/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_meta.h 2024-08-20T21:38:17.8272789Z inflating: build/lib/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_meta_dispatch.h 2024-08-20T21:38:17.8274709Z inflating: build/lib/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_native.h 2024-08-20T21:38:17.8276525Z inflating: build/lib/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_ops.h 2024-08-20T21:38:17.8278265Z inflating: build/lib/torch/include/ATen/ops/_convert_indices_from_csr_to_coo.h 2024-08-20T21:38:17.8280549Z inflating: build/lib/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.8282909Z inflating: build/lib/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_cpu_dispatch.h 2024-08-20T21:38:17.8284893Z inflating: build/lib/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_cuda_dispatch.h 2024-08-20T21:38:17.8286719Z inflating: build/lib/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_meta.h 2024-08-20T21:38:17.8288627Z inflating: build/lib/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_meta_dispatch.h 2024-08-20T21:38:17.8290682Z inflating: build/lib/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_native.h 2024-08-20T21:38:17.8292476Z inflating: build/lib/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_ops.h 2024-08-20T21:38:17.8294181Z inflating: build/lib/torch/include/ATen/ops/_convert_weight_to_int4pack.h 2024-08-20T21:38:17.8295921Z inflating: build/lib/torch/include/ATen/ops/_convert_weight_to_int4pack_cpu_dispatch.h 2024-08-20T21:38:17.8297805Z inflating: build/lib/torch/include/ATen/ops/_convert_weight_to_int4pack_cuda_dispatch.h 2024-08-20T21:38:17.8299860Z inflating: build/lib/torch/include/ATen/ops/_convert_weight_to_int4pack_native.h 2024-08-20T21:38:17.8301573Z inflating: build/lib/torch/include/ATen/ops/_convert_weight_to_int4pack_ops.h 2024-08-20T21:38:17.8303048Z inflating: build/lib/torch/include/ATen/ops/_convolution.h 2024-08-20T21:38:17.8304693Z inflating: build/lib/torch/include/ATen/ops/_convolution_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8306686Z inflating: build/lib/torch/include/ATen/ops/_convolution_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8308532Z inflating: build/lib/torch/include/ATen/ops/_convolution_double_backward.h 2024-08-20T21:38:17.8310409Z inflating: build/lib/torch/include/ATen/ops/_convolution_double_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8312641Z inflating: build/lib/torch/include/ATen/ops/_convolution_double_backward_native.h 2024-08-20T21:38:17.8313981Z inflating: build/lib/torch/include/ATen/ops/_convolution_double_backward_ops.h 2024-08-20T21:38:17.8315528Z inflating: build/lib/torch/include/ATen/ops/_convolution_mode.h 2024-08-20T21:38:17.8317308Z inflating: build/lib/torch/include/ATen/ops/_convolution_mode_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8319174Z inflating: build/lib/torch/include/ATen/ops/_convolution_mode_native.h 2024-08-20T21:38:17.8320747Z inflating: build/lib/torch/include/ATen/ops/_convolution_mode_ops.h 2024-08-20T21:38:17.8322166Z inflating: build/lib/torch/include/ATen/ops/_convolution_native.h 2024-08-20T21:38:17.8323502Z inflating: build/lib/torch/include/ATen/ops/_convolution_ops.h 2024-08-20T21:38:17.8324730Z inflating: build/lib/torch/include/ATen/ops/_copy_from.h 2024-08-20T21:38:17.8326475Z inflating: build/lib/torch/include/ATen/ops/_copy_from_and_resize.h 2024-08-20T21:38:17.8327608Z inflating: build/lib/torch/include/ATen/ops/_copy_from_and_resize_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8328675Z inflating: build/lib/torch/include/ATen/ops/_copy_from_and_resize_native.h 2024-08-20T21:38:17.8329518Z inflating: build/lib/torch/include/ATen/ops/_copy_from_and_resize_ops.h 2024-08-20T21:38:17.8330460Z inflating: build/lib/torch/include/ATen/ops/_copy_from_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8331370Z inflating: build/lib/torch/include/ATen/ops/_copy_from_native.h 2024-08-20T21:38:17.8332077Z inflating: build/lib/torch/include/ATen/ops/_copy_from_ops.h 2024-08-20T21:38:17.8332967Z inflating: build/lib/torch/include/ATen/ops/_cslt_compress.h 2024-08-20T21:38:17.8334140Z inflating: build/lib/torch/include/ATen/ops/_cslt_compress_cuda_dispatch.h 2024-08-20T21:38:17.8335515Z inflating: build/lib/torch/include/ATen/ops/_cslt_compress_native.h 2024-08-20T21:38:17.8336860Z inflating: build/lib/torch/include/ATen/ops/_cslt_compress_ops.h 2024-08-20T21:38:17.8338043Z inflating: build/lib/torch/include/ATen/ops/_cslt_sparse_mm.h 2024-08-20T21:38:17.8339461Z inflating: build/lib/torch/include/ATen/ops/_cslt_sparse_mm_cuda_dispatch.h 2024-08-20T21:38:17.8341060Z inflating: build/lib/torch/include/ATen/ops/_cslt_sparse_mm_native.h 2024-08-20T21:38:17.8342432Z inflating: build/lib/torch/include/ATen/ops/_cslt_sparse_mm_ops.h 2024-08-20T21:38:17.8343749Z inflating: build/lib/torch/include/ATen/ops/_cslt_sparse_mm_search.h 2024-08-20T21:38:17.8345297Z inflating: build/lib/torch/include/ATen/ops/_cslt_sparse_mm_search_cuda_dispatch.h 2024-08-20T21:38:17.8346530Z inflating: build/lib/torch/include/ATen/ops/_cslt_sparse_mm_search_native.h 2024-08-20T21:38:17.8347383Z inflating: build/lib/torch/include/ATen/ops/_cslt_sparse_mm_search_ops.h 2024-08-20T21:38:17.8348113Z inflating: build/lib/torch/include/ATen/ops/_ctc_loss.h 2024-08-20T21:38:17.8348770Z inflating: build/lib/torch/include/ATen/ops/_ctc_loss_backward.h 2024-08-20T21:38:17.8349738Z inflating: build/lib/torch/include/ATen/ops/_ctc_loss_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8350959Z inflating: build/lib/torch/include/ATen/ops/_ctc_loss_backward_cpu_dispatch.h 2024-08-20T21:38:17.8351863Z inflating: build/lib/torch/include/ATen/ops/_ctc_loss_backward_cuda_dispatch.h 2024-08-20T21:38:17.8352747Z inflating: build/lib/torch/include/ATen/ops/_ctc_loss_backward_native.h 2024-08-20T21:38:17.8353563Z inflating: build/lib/torch/include/ATen/ops/_ctc_loss_backward_ops.h 2024-08-20T21:38:17.8354505Z inflating: build/lib/torch/include/ATen/ops/_ctc_loss_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8355430Z inflating: build/lib/torch/include/ATen/ops/_ctc_loss_cpu_dispatch.h 2024-08-20T21:38:17.8356226Z inflating: build/lib/torch/include/ATen/ops/_ctc_loss_cuda_dispatch.h 2024-08-20T21:38:17.8357030Z inflating: build/lib/torch/include/ATen/ops/_ctc_loss_meta_dispatch.h 2024-08-20T21:38:17.8357770Z inflating: build/lib/torch/include/ATen/ops/_ctc_loss_native.h 2024-08-20T21:38:17.8358565Z inflating: build/lib/torch/include/ATen/ops/_ctc_loss_ops.h 2024-08-20T21:38:17.8359257Z inflating: build/lib/torch/include/ATen/ops/_cudnn_ctc_loss.h 2024-08-20T21:38:17.8360161Z inflating: build/lib/torch/include/ATen/ops/_cudnn_ctc_loss_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8361175Z inflating: build/lib/torch/include/ATen/ops/_cudnn_ctc_loss_cuda_dispatch.h 2024-08-20T21:38:17.8362005Z inflating: build/lib/torch/include/ATen/ops/_cudnn_ctc_loss_native.h 2024-08-20T21:38:17.8362771Z inflating: build/lib/torch/include/ATen/ops/_cudnn_ctc_loss_ops.h 2024-08-20T21:38:17.8363546Z inflating: build/lib/torch/include/ATen/ops/_cudnn_init_dropout_state.h 2024-08-20T21:38:17.8364591Z inflating: build/lib/torch/include/ATen/ops/_cudnn_init_dropout_state_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8365721Z inflating: build/lib/torch/include/ATen/ops/_cudnn_init_dropout_state_cuda_dispatch.h 2024-08-20T21:38:17.8366670Z inflating: build/lib/torch/include/ATen/ops/_cudnn_init_dropout_state_native.h 2024-08-20T21:38:17.8367565Z inflating: build/lib/torch/include/ATen/ops/_cudnn_init_dropout_state_ops.h 2024-08-20T21:38:17.8368312Z inflating: build/lib/torch/include/ATen/ops/_cudnn_rnn.h 2024-08-20T21:38:17.8368984Z inflating: build/lib/torch/include/ATen/ops/_cudnn_rnn_backward.h 2024-08-20T21:38:17.8369949Z inflating: build/lib/torch/include/ATen/ops/_cudnn_rnn_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8371007Z inflating: build/lib/torch/include/ATen/ops/_cudnn_rnn_backward_cuda_dispatch.h 2024-08-20T21:38:17.8371897Z inflating: build/lib/torch/include/ATen/ops/_cudnn_rnn_backward_native.h 2024-08-20T21:38:17.8372706Z inflating: build/lib/torch/include/ATen/ops/_cudnn_rnn_backward_ops.h 2024-08-20T21:38:17.8373653Z inflating: build/lib/torch/include/ATen/ops/_cudnn_rnn_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8374610Z inflating: build/lib/torch/include/ATen/ops/_cudnn_rnn_cuda_dispatch.h 2024-08-20T21:38:17.8375430Z inflating: build/lib/torch/include/ATen/ops/_cudnn_rnn_flatten_weight.h 2024-08-20T21:38:17.8376479Z inflating: build/lib/torch/include/ATen/ops/_cudnn_rnn_flatten_weight_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8377601Z inflating: build/lib/torch/include/ATen/ops/_cudnn_rnn_flatten_weight_cuda_dispatch.h 2024-08-20T21:38:17.8378550Z inflating: build/lib/torch/include/ATen/ops/_cudnn_rnn_flatten_weight_native.h 2024-08-20T21:38:17.8379431Z inflating: build/lib/torch/include/ATen/ops/_cudnn_rnn_flatten_weight_ops.h 2024-08-20T21:38:17.8380309Z inflating: build/lib/torch/include/ATen/ops/_cudnn_rnn_native.h 2024-08-20T21:38:17.8381007Z inflating: build/lib/torch/include/ATen/ops/_cudnn_rnn_ops.h 2024-08-20T21:38:17.8381732Z inflating: build/lib/torch/include/ATen/ops/_cufft_clear_plan_cache.h 2024-08-20T21:38:17.8382748Z inflating: build/lib/torch/include/ATen/ops/_cufft_clear_plan_cache_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8383883Z inflating: build/lib/torch/include/ATen/ops/_cufft_clear_plan_cache_native.h 2024-08-20T21:38:17.8384743Z inflating: build/lib/torch/include/ATen/ops/_cufft_clear_plan_cache_ops.h 2024-08-20T21:38:17.8385604Z inflating: build/lib/torch/include/ATen/ops/_cufft_get_plan_cache_max_size.h 2024-08-20T21:38:17.8386701Z inflating: build/lib/torch/include/ATen/ops/_cufft_get_plan_cache_max_size_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8387835Z inflating: build/lib/torch/include/ATen/ops/_cufft_get_plan_cache_max_size_native.h 2024-08-20T21:38:17.8388768Z inflating: build/lib/torch/include/ATen/ops/_cufft_get_plan_cache_max_size_ops.h 2024-08-20T21:38:17.8389652Z inflating: build/lib/torch/include/ATen/ops/_cufft_get_plan_cache_size.h 2024-08-20T21:38:17.8390707Z inflating: build/lib/torch/include/ATen/ops/_cufft_get_plan_cache_size_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8391941Z inflating: build/lib/torch/include/ATen/ops/_cufft_get_plan_cache_size_native.h 2024-08-20T21:38:17.8392848Z inflating: build/lib/torch/include/ATen/ops/_cufft_get_plan_cache_size_ops.h 2024-08-20T21:38:17.8393773Z inflating: build/lib/torch/include/ATen/ops/_cufft_set_plan_cache_max_size.h 2024-08-20T21:38:17.8394864Z inflating: build/lib/torch/include/ATen/ops/_cufft_set_plan_cache_max_size_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8396026Z inflating: build/lib/torch/include/ATen/ops/_cufft_set_plan_cache_max_size_native.h 2024-08-20T21:38:17.8396975Z inflating: build/lib/torch/include/ATen/ops/_cufft_set_plan_cache_max_size_ops.h 2024-08-20T21:38:17.8397784Z inflating: build/lib/torch/include/ATen/ops/_cummax_helper.h 2024-08-20T21:38:17.8398539Z inflating: build/lib/torch/include/ATen/ops/_cummax_helper_cpu_dispatch.h 2024-08-20T21:38:17.8399394Z inflating: build/lib/torch/include/ATen/ops/_cummax_helper_cuda_dispatch.h 2024-08-20T21:38:17.8400223Z inflating: build/lib/torch/include/ATen/ops/_cummax_helper_native.h 2024-08-20T21:38:17.8400966Z inflating: build/lib/torch/include/ATen/ops/_cummax_helper_ops.h 2024-08-20T21:38:17.8401674Z inflating: build/lib/torch/include/ATen/ops/_cummin_helper.h 2024-08-20T21:38:17.8402430Z inflating: build/lib/torch/include/ATen/ops/_cummin_helper_cpu_dispatch.h 2024-08-20T21:38:17.8403276Z inflating: build/lib/torch/include/ATen/ops/_cummin_helper_cuda_dispatch.h 2024-08-20T21:38:17.8404095Z inflating: build/lib/torch/include/ATen/ops/_cummin_helper_native.h 2024-08-20T21:38:17.8404886Z inflating: build/lib/torch/include/ATen/ops/_cummin_helper_ops.h 2024-08-20T21:38:17.8405675Z inflating: build/lib/torch/include/ATen/ops/_debug_has_internal_overlap.h 2024-08-20T21:38:17.8406725Z inflating: build/lib/torch/include/ATen/ops/_debug_has_internal_overlap_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8407832Z inflating: build/lib/torch/include/ATen/ops/_debug_has_internal_overlap_native.h 2024-08-20T21:38:17.8408753Z inflating: build/lib/torch/include/ATen/ops/_debug_has_internal_overlap_ops.h 2024-08-20T21:38:17.8409484Z inflating: build/lib/torch/include/ATen/ops/_dimI.h 2024-08-20T21:38:17.8410092Z inflating: build/lib/torch/include/ATen/ops/_dimI_native.h 2024-08-20T21:38:17.8410722Z inflating: build/lib/torch/include/ATen/ops/_dimI_ops.h 2024-08-20T21:38:17.8411299Z inflating: build/lib/torch/include/ATen/ops/_dimV.h 2024-08-20T21:38:17.8411909Z inflating: build/lib/torch/include/ATen/ops/_dimV_native.h 2024-08-20T21:38:17.8412534Z inflating: build/lib/torch/include/ATen/ops/_dimV_ops.h 2024-08-20T21:38:17.8413151Z inflating: build/lib/torch/include/ATen/ops/_dim_arange.h 2024-08-20T21:38:17.8414008Z inflating: build/lib/torch/include/ATen/ops/_dim_arange_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8414925Z inflating: build/lib/torch/include/ATen/ops/_dim_arange_native.h 2024-08-20T21:38:17.8415644Z inflating: build/lib/torch/include/ATen/ops/_dim_arange_ops.h 2024-08-20T21:38:17.8416409Z inflating: build/lib/torch/include/ATen/ops/_dirichlet_grad.h 2024-08-20T21:38:17.8417332Z inflating: build/lib/torch/include/ATen/ops/_dirichlet_grad_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8418342Z inflating: build/lib/torch/include/ATen/ops/_dirichlet_grad_cpu_dispatch.h 2024-08-20T21:38:17.8419192Z inflating: build/lib/torch/include/ATen/ops/_dirichlet_grad_cuda_dispatch.h 2024-08-20T21:38:17.8420109Z inflating: build/lib/torch/include/ATen/ops/_dirichlet_grad_native.h 2024-08-20T21:38:17.8420874Z inflating: build/lib/torch/include/ATen/ops/_dirichlet_grad_ops.h 2024-08-20T21:38:17.8421680Z inflating: build/lib/torch/include/ATen/ops/_efficient_attention_backward.h 2024-08-20T21:38:17.8422619Z inflating: build/lib/torch/include/ATen/ops/_efficient_attention_backward_cuda_dispatch.h 2024-08-20T21:38:17.8423619Z inflating: build/lib/torch/include/ATen/ops/_efficient_attention_backward_native.h 2024-08-20T21:38:17.8424625Z inflating: build/lib/torch/include/ATen/ops/_efficient_attention_backward_ops.h 2024-08-20T21:38:17.8425509Z inflating: build/lib/torch/include/ATen/ops/_efficient_attention_forward.h 2024-08-20T21:38:17.8426648Z inflating: build/lib/torch/include/ATen/ops/_efficient_attention_forward_cuda_dispatch.h 2024-08-20T21:38:17.8427634Z inflating: build/lib/torch/include/ATen/ops/_efficient_attention_forward_native.h 2024-08-20T21:38:17.8428547Z inflating: build/lib/torch/include/ATen/ops/_efficient_attention_forward_ops.h 2024-08-20T21:38:17.8429397Z inflating: build/lib/torch/include/ATen/ops/_efficientzerotensor.h 2024-08-20T21:38:17.8430394Z inflating: build/lib/torch/include/ATen/ops/_efficientzerotensor_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8431462Z inflating: build/lib/torch/include/ATen/ops/_efficientzerotensor_cpu_dispatch.h 2024-08-20T21:38:17.8432387Z inflating: build/lib/torch/include/ATen/ops/_efficientzerotensor_cuda_dispatch.h 2024-08-20T21:38:17.8433338Z inflating: build/lib/torch/include/ATen/ops/_efficientzerotensor_meta_dispatch.h 2024-08-20T21:38:17.8434245Z inflating: build/lib/torch/include/ATen/ops/_efficientzerotensor_native.h 2024-08-20T21:38:17.8435077Z inflating: build/lib/torch/include/ATen/ops/_efficientzerotensor_ops.h 2024-08-20T21:38:17.8435838Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag.h 2024-08-20T21:38:17.8436579Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_backward.h 2024-08-20T21:38:17.8437444Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_backward_cpu_dispatch.h 2024-08-20T21:38:17.8438409Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_backward_cuda_dispatch.h 2024-08-20T21:38:17.8439345Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_backward_native.h 2024-08-20T21:38:17.8440214Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_backward_ops.h 2024-08-20T21:38:17.8441199Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8442196Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_cpu_dispatch.h 2024-08-20T21:38:17.8443062Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_cuda_dispatch.h 2024-08-20T21:38:17.8464901Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_dense_backward.h 2024-08-20T21:38:17.8467013Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_dense_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8469116Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_dense_backward_cpu_dispatch.h 2024-08-20T21:38:17.8470980Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_dense_backward_cuda_dispatch.h 2024-08-20T21:38:17.8472761Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_dense_backward_native.h 2024-08-20T21:38:17.8474453Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_dense_backward_ops.h 2024-08-20T21:38:17.8476029Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_forward_only.h 2024-08-20T21:38:17.8478138Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_forward_only_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8480228Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_forward_only_cpu_dispatch.h 2024-08-20T21:38:17.8482021Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_forward_only_cuda_dispatch.h 2024-08-20T21:38:17.8483774Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_forward_only_native.h 2024-08-20T21:38:17.8485373Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_forward_only_ops.h 2024-08-20T21:38:17.8486862Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_native.h 2024-08-20T21:38:17.8488194Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_ops.h 2024-08-20T21:38:17.8489762Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward.h 2024-08-20T21:38:17.8492167Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8494483Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_cpu_dispatch.h 2024-08-20T21:38:17.8496613Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_cuda_dispatch.h 2024-08-20T21:38:17.8498689Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_native.h 2024-08-20T21:38:17.8500702Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_ops.h 2024-08-20T21:38:17.8502442Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_sparse_backward.h 2024-08-20T21:38:17.8504421Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_sparse_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8506498Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_sparse_backward_native.h 2024-08-20T21:38:17.8508202Z inflating: build/lib/torch/include/ATen/ops/_embedding_bag_sparse_backward_ops.h 2024-08-20T21:38:17.8509767Z inflating: build/lib/torch/include/ATen/ops/_empty_affine_quantized.h 2024-08-20T21:38:17.8511596Z inflating: build/lib/torch/include/ATen/ops/_empty_affine_quantized_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8513570Z inflating: build/lib/torch/include/ATen/ops/_empty_affine_quantized_cpu_dispatch.h 2024-08-20T21:38:17.8515207Z inflating: build/lib/torch/include/ATen/ops/_empty_affine_quantized_native.h 2024-08-20T21:38:17.8516757Z inflating: build/lib/torch/include/ATen/ops/_empty_affine_quantized_ops.h 2024-08-20T21:38:17.8518358Z inflating: build/lib/torch/include/ATen/ops/_empty_per_channel_affine_quantized.h 2024-08-20T21:38:17.8520417Z inflating: build/lib/torch/include/ATen/ops/_empty_per_channel_affine_quantized_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8522636Z inflating: build/lib/torch/include/ATen/ops/_empty_per_channel_affine_quantized_cpu_dispatch.h 2024-08-20T21:38:17.8524542Z inflating: build/lib/torch/include/ATen/ops/_empty_per_channel_affine_quantized_native.h 2024-08-20T21:38:17.8526477Z inflating: build/lib/torch/include/ATen/ops/_empty_per_channel_affine_quantized_ops.h 2024-08-20T21:38:17.8527998Z inflating: build/lib/torch/include/ATen/ops/_euclidean_dist.h 2024-08-20T21:38:17.8529636Z inflating: build/lib/torch/include/ATen/ops/_euclidean_dist_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8531393Z inflating: build/lib/torch/include/ATen/ops/_euclidean_dist_native.h 2024-08-20T21:38:17.8532725Z inflating: build/lib/torch/include/ATen/ops/_euclidean_dist_ops.h 2024-08-20T21:38:17.8534289Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine.h 2024-08-20T21:38:17.8536225Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward.h 2024-08-20T21:38:17.8538576Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_cpu_dispatch.h 2024-08-20T21:38:17.8540986Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_cuda_dispatch.h 2024-08-20T21:38:17.8543233Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_native.h 2024-08-20T21:38:17.8545393Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_ops.h 2024-08-20T21:38:17.8547749Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8550069Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_cpu_dispatch.h 2024-08-20T21:38:17.8552187Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_cuda_dispatch.h 2024-08-20T21:38:17.8554377Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_native.h 2024-08-20T21:38:17.8556340Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_ops.h 2024-08-20T21:38:17.8558215Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine.h 2024-08-20T21:38:17.8560132Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward.h 2024-08-20T21:38:17.8562273Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_cpu_dispatch.h 2024-08-20T21:38:17.8564683Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_cuda_dispatch.h 2024-08-20T21:38:17.8566915Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_native.h 2024-08-20T21:38:17.8569036Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_ops.h 2024-08-20T21:38:17.8571389Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8573742Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_cpu_dispatch.h 2024-08-20T21:38:17.8575852Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_cuda_dispatch.h 2024-08-20T21:38:17.8577871Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_native.h 2024-08-20T21:38:17.8579907Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_ops.h 2024-08-20T21:38:17.8581953Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams.h 2024-08-20T21:38:17.8584464Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8587109Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_cpu_dispatch.h 2024-08-20T21:38:17.8589535Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_cuda_dispatch.h 2024-08-20T21:38:17.8591875Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_native.h 2024-08-20T21:38:17.8594131Z inflating: build/lib/torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_ops.h 2024-08-20T21:38:17.8595754Z inflating: build/lib/torch/include/ATen/ops/_fft_c2c.h 2024-08-20T21:38:17.8596966Z inflating: build/lib/torch/include/ATen/ops/_fft_c2c_cpu_dispatch.h 2024-08-20T21:38:17.8598346Z inflating: build/lib/torch/include/ATen/ops/_fft_c2c_cuda_dispatch.h 2024-08-20T21:38:17.8599635Z inflating: build/lib/torch/include/ATen/ops/_fft_c2c_native.h 2024-08-20T21:38:17.8600833Z inflating: build/lib/torch/include/ATen/ops/_fft_c2c_ops.h 2024-08-20T21:38:17.8602043Z inflating: build/lib/torch/include/ATen/ops/_fft_c2r.h 2024-08-20T21:38:17.8603234Z inflating: build/lib/torch/include/ATen/ops/_fft_c2r_cpu_dispatch.h 2024-08-20T21:38:17.8604628Z inflating: build/lib/torch/include/ATen/ops/_fft_c2r_cuda_dispatch.h 2024-08-20T21:38:17.8605947Z inflating: build/lib/torch/include/ATen/ops/_fft_c2r_native.h 2024-08-20T21:38:17.8607119Z inflating: build/lib/torch/include/ATen/ops/_fft_c2r_ops.h 2024-08-20T21:38:17.8608231Z inflating: build/lib/torch/include/ATen/ops/_fft_r2c.h 2024-08-20T21:38:17.8609457Z inflating: build/lib/torch/include/ATen/ops/_fft_r2c_cpu_dispatch.h 2024-08-20T21:38:17.8610865Z inflating: build/lib/torch/include/ATen/ops/_fft_r2c_cuda_dispatch.h 2024-08-20T21:38:17.8612287Z inflating: build/lib/torch/include/ATen/ops/_fft_r2c_native.h 2024-08-20T21:38:17.8613468Z inflating: build/lib/torch/include/ATen/ops/_fft_r2c_ops.h 2024-08-20T21:38:17.8614899Z inflating: build/lib/torch/include/ATen/ops/_fill_mem_eff_dropout_mask.h 2024-08-20T21:38:17.8616578Z inflating: build/lib/torch/include/ATen/ops/_fill_mem_eff_dropout_mask_cuda_dispatch.h 2024-08-20T21:38:17.8618363Z inflating: build/lib/torch/include/ATen/ops/_fill_mem_eff_dropout_mask_meta_dispatch.h 2024-08-20T21:38:17.8620179Z inflating: build/lib/torch/include/ATen/ops/_fill_mem_eff_dropout_mask_native.h 2024-08-20T21:38:17.8621870Z inflating: build/lib/torch/include/ATen/ops/_fill_mem_eff_dropout_mask_ops.h 2024-08-20T21:38:17.8623406Z inflating: build/lib/torch/include/ATen/ops/_flash_attention_backward.h 2024-08-20T21:38:17.8625028Z inflating: build/lib/torch/include/ATen/ops/_flash_attention_backward_cuda_dispatch.h 2024-08-20T21:38:17.8626942Z inflating: build/lib/torch/include/ATen/ops/_flash_attention_backward_native.h 2024-08-20T21:38:17.8628602Z inflating: build/lib/torch/include/ATen/ops/_flash_attention_backward_ops.h 2024-08-20T21:38:17.8630155Z inflating: build/lib/torch/include/ATen/ops/_flash_attention_forward.h 2024-08-20T21:38:17.8631816Z inflating: build/lib/torch/include/ATen/ops/_flash_attention_forward_cuda_dispatch.h 2024-08-20T21:38:17.8633540Z inflating: build/lib/torch/include/ATen/ops/_flash_attention_forward_native.h 2024-08-20T21:38:17.8635158Z inflating: build/lib/torch/include/ATen/ops/_flash_attention_forward_ops.h 2024-08-20T21:38:17.8636493Z inflating: build/lib/torch/include/ATen/ops/_foobar.h 2024-08-20T21:38:17.8637987Z inflating: build/lib/torch/include/ATen/ops/_foobar_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8639660Z inflating: build/lib/torch/include/ATen/ops/_foobar_cpu_dispatch.h 2024-08-20T21:38:17.8640987Z inflating: build/lib/torch/include/ATen/ops/_foobar_native.h 2024-08-20T21:38:17.8642199Z inflating: build/lib/torch/include/ATen/ops/_foobar_ops.h 2024-08-20T21:38:17.8643388Z inflating: build/lib/torch/include/ATen/ops/_foreach_abs.h 2024-08-20T21:38:17.8645036Z inflating: build/lib/torch/include/ATen/ops/_foreach_abs_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8646843Z inflating: build/lib/torch/include/ATen/ops/_foreach_abs_cuda_dispatch.h 2024-08-20T21:38:17.8648292Z inflating: build/lib/torch/include/ATen/ops/_foreach_abs_native.h 2024-08-20T21:38:17.8649628Z inflating: build/lib/torch/include/ATen/ops/_foreach_abs_ops.h 2024-08-20T21:38:17.8650902Z inflating: build/lib/torch/include/ATen/ops/_foreach_acos.h 2024-08-20T21:38:17.8652467Z inflating: build/lib/torch/include/ATen/ops/_foreach_acos_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8654295Z inflating: build/lib/torch/include/ATen/ops/_foreach_acos_cuda_dispatch.h 2024-08-20T21:38:17.8655791Z inflating: build/lib/torch/include/ATen/ops/_foreach_acos_native.h 2024-08-20T21:38:17.8657160Z inflating: build/lib/torch/include/ATen/ops/_foreach_acos_ops.h 2024-08-20T21:38:17.8658416Z inflating: build/lib/torch/include/ATen/ops/_foreach_add.h 2024-08-20T21:38:17.8660108Z inflating: build/lib/torch/include/ATen/ops/_foreach_add_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8662117Z inflating: build/lib/torch/include/ATen/ops/_foreach_add_cuda_dispatch.h 2024-08-20T21:38:17.8663570Z inflating: build/lib/torch/include/ATen/ops/_foreach_add_native.h 2024-08-20T21:38:17.8664912Z inflating: build/lib/torch/include/ATen/ops/_foreach_add_ops.h 2024-08-20T21:38:17.8666220Z inflating: build/lib/torch/include/ATen/ops/_foreach_addcdiv.h 2024-08-20T21:38:17.8667934Z inflating: build/lib/torch/include/ATen/ops/_foreach_addcdiv_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8669828Z inflating: build/lib/torch/include/ATen/ops/_foreach_addcdiv_cuda_dispatch.h 2024-08-20T21:38:17.8671409Z inflating: build/lib/torch/include/ATen/ops/_foreach_addcdiv_native.h 2024-08-20T21:38:17.8672858Z inflating: build/lib/torch/include/ATen/ops/_foreach_addcdiv_ops.h 2024-08-20T21:38:17.8674333Z inflating: build/lib/torch/include/ATen/ops/_foreach_addcmul.h 2024-08-20T21:38:17.8676091Z inflating: build/lib/torch/include/ATen/ops/_foreach_addcmul_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8678011Z inflating: build/lib/torch/include/ATen/ops/_foreach_addcmul_cuda_dispatch.h 2024-08-20T21:38:17.8679548Z inflating: build/lib/torch/include/ATen/ops/_foreach_addcmul_native.h 2024-08-20T21:38:17.8681009Z inflating: build/lib/torch/include/ATen/ops/_foreach_addcmul_ops.h 2024-08-20T21:38:17.8682334Z inflating: build/lib/torch/include/ATen/ops/_foreach_asin.h 2024-08-20T21:38:17.8683990Z inflating: build/lib/torch/include/ATen/ops/_foreach_asin_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8685806Z inflating: build/lib/torch/include/ATen/ops/_foreach_asin_cuda_dispatch.h 2024-08-20T21:38:17.8687314Z inflating: build/lib/torch/include/ATen/ops/_foreach_asin_native.h 2024-08-20T21:38:17.8688685Z inflating: build/lib/torch/include/ATen/ops/_foreach_asin_ops.h 2024-08-20T21:38:17.8689837Z inflating: build/lib/torch/include/ATen/ops/_foreach_atan.h 2024-08-20T21:38:17.8691532Z inflating: build/lib/torch/include/ATen/ops/_foreach_atan_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8693362Z inflating: build/lib/torch/include/ATen/ops/_foreach_atan_cuda_dispatch.h 2024-08-20T21:38:17.8694829Z inflating: build/lib/torch/include/ATen/ops/_foreach_atan_native.h 2024-08-20T21:38:17.8696195Z inflating: build/lib/torch/include/ATen/ops/_foreach_atan_ops.h 2024-08-20T21:38:17.8697486Z inflating: build/lib/torch/include/ATen/ops/_foreach_ceil.h 2024-08-20T21:38:17.8698351Z inflating: build/lib/torch/include/ATen/ops/_foreach_ceil_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8698979Z inflating: build/lib/torch/include/ATen/ops/_foreach_ceil_cuda_dispatch.h 2024-08-20T21:38:17.8699528Z inflating: build/lib/torch/include/ATen/ops/_foreach_ceil_native.h 2024-08-20T21:38:17.8700100Z inflating: build/lib/torch/include/ATen/ops/_foreach_ceil_ops.h 2024-08-20T21:38:17.8700667Z inflating: build/lib/torch/include/ATen/ops/_foreach_clamp_max.h 2024-08-20T21:38:17.8701598Z inflating: build/lib/torch/include/ATen/ops/_foreach_clamp_max_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8702277Z inflating: build/lib/torch/include/ATen/ops/_foreach_clamp_max_cuda_dispatch.h 2024-08-20T21:38:17.8702893Z inflating: build/lib/torch/include/ATen/ops/_foreach_clamp_max_native.h 2024-08-20T21:38:17.8703470Z inflating: build/lib/torch/include/ATen/ops/_foreach_clamp_max_ops.h 2024-08-20T21:38:17.8704507Z inflating: build/lib/torch/include/ATen/ops/_foreach_clamp_min.h 2024-08-20T21:38:17.8705465Z inflating: build/lib/torch/include/ATen/ops/_foreach_clamp_min_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8706146Z inflating: build/lib/torch/include/ATen/ops/_foreach_clamp_min_cuda_dispatch.h 2024-08-20T21:38:17.8706770Z inflating: build/lib/torch/include/ATen/ops/_foreach_clamp_min_native.h 2024-08-20T21:38:17.8707344Z inflating: build/lib/torch/include/ATen/ops/_foreach_clamp_min_ops.h 2024-08-20T21:38:17.8707955Z inflating: build/lib/torch/include/ATen/ops/_foreach_copy.h 2024-08-20T21:38:17.8708865Z inflating: build/lib/torch/include/ATen/ops/_foreach_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8709494Z inflating: build/lib/torch/include/ATen/ops/_foreach_copy_cuda_dispatch.h 2024-08-20T21:38:17.8710039Z inflating: build/lib/torch/include/ATen/ops/_foreach_copy_native.h 2024-08-20T21:38:17.8710571Z inflating: build/lib/torch/include/ATen/ops/_foreach_copy_ops.h 2024-08-20T21:38:17.8711009Z inflating: build/lib/torch/include/ATen/ops/_foreach_cos.h 2024-08-20T21:38:17.8711893Z inflating: build/lib/torch/include/ATen/ops/_foreach_cos_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8712514Z inflating: build/lib/torch/include/ATen/ops/_foreach_cos_cuda_dispatch.h 2024-08-20T21:38:17.8713041Z inflating: build/lib/torch/include/ATen/ops/_foreach_cos_native.h 2024-08-20T21:38:17.8713676Z inflating: build/lib/torch/include/ATen/ops/_foreach_cos_ops.h 2024-08-20T21:38:17.8714146Z inflating: build/lib/torch/include/ATen/ops/_foreach_cosh.h 2024-08-20T21:38:17.8715038Z inflating: build/lib/torch/include/ATen/ops/_foreach_cosh_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8715673Z inflating: build/lib/torch/include/ATen/ops/_foreach_cosh_cuda_dispatch.h 2024-08-20T21:38:17.8716203Z inflating: build/lib/torch/include/ATen/ops/_foreach_cosh_native.h 2024-08-20T21:38:17.8716716Z inflating: build/lib/torch/include/ATen/ops/_foreach_cosh_ops.h 2024-08-20T21:38:17.8717177Z inflating: build/lib/torch/include/ATen/ops/_foreach_div.h 2024-08-20T21:38:17.8718035Z inflating: build/lib/torch/include/ATen/ops/_foreach_div_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8718679Z inflating: build/lib/torch/include/ATen/ops/_foreach_div_cuda_dispatch.h 2024-08-20T21:38:17.8719201Z inflating: build/lib/torch/include/ATen/ops/_foreach_div_native.h 2024-08-20T21:38:17.8719700Z inflating: build/lib/torch/include/ATen/ops/_foreach_div_ops.h 2024-08-20T21:38:17.8720169Z inflating: build/lib/torch/include/ATen/ops/_foreach_erf.h 2024-08-20T21:38:17.8721049Z inflating: build/lib/torch/include/ATen/ops/_foreach_erf_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8721661Z inflating: build/lib/torch/include/ATen/ops/_foreach_erf_cuda_dispatch.h 2024-08-20T21:38:17.8722193Z inflating: build/lib/torch/include/ATen/ops/_foreach_erf_native.h 2024-08-20T21:38:17.8722677Z inflating: build/lib/torch/include/ATen/ops/_foreach_erf_ops.h 2024-08-20T21:38:17.8723155Z inflating: build/lib/torch/include/ATen/ops/_foreach_erfc.h 2024-08-20T21:38:17.8724035Z inflating: build/lib/torch/include/ATen/ops/_foreach_erfc_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8724651Z inflating: build/lib/torch/include/ATen/ops/_foreach_erfc_cuda_dispatch.h 2024-08-20T21:38:17.8725220Z inflating: build/lib/torch/include/ATen/ops/_foreach_erfc_native.h 2024-08-20T21:38:17.8725866Z inflating: build/lib/torch/include/ATen/ops/_foreach_erfc_ops.h 2024-08-20T21:38:17.8726321Z inflating: build/lib/torch/include/ATen/ops/_foreach_exp.h 2024-08-20T21:38:17.8727208Z inflating: build/lib/torch/include/ATen/ops/_foreach_exp_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8727689Z inflating: build/lib/torch/include/ATen/ops/_foreach_exp_cuda_dispatch.h 2024-08-20T21:38:17.8728210Z inflating: build/lib/torch/include/ATen/ops/_foreach_exp_native.h 2024-08-20T21:38:17.8728714Z inflating: build/lib/torch/include/ATen/ops/_foreach_exp_ops.h 2024-08-20T21:38:17.8729177Z inflating: build/lib/torch/include/ATen/ops/_foreach_expm1.h 2024-08-20T21:38:17.8730094Z inflating: build/lib/torch/include/ATen/ops/_foreach_expm1_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8730729Z inflating: build/lib/torch/include/ATen/ops/_foreach_expm1_cuda_dispatch.h 2024-08-20T21:38:17.8731285Z inflating: build/lib/torch/include/ATen/ops/_foreach_expm1_native.h 2024-08-20T21:38:17.8731952Z inflating: build/lib/torch/include/ATen/ops/_foreach_expm1_ops.h 2024-08-20T21:38:17.8732429Z inflating: build/lib/torch/include/ATen/ops/_foreach_floor.h 2024-08-20T21:38:17.8733353Z inflating: build/lib/torch/include/ATen/ops/_foreach_floor_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8734010Z inflating: build/lib/torch/include/ATen/ops/_foreach_floor_cuda_dispatch.h 2024-08-20T21:38:17.8734554Z inflating: build/lib/torch/include/ATen/ops/_foreach_floor_native.h 2024-08-20T21:38:17.8735085Z inflating: build/lib/torch/include/ATen/ops/_foreach_floor_ops.h 2024-08-20T21:38:17.8735540Z inflating: build/lib/torch/include/ATen/ops/_foreach_frac.h 2024-08-20T21:38:17.8736421Z inflating: build/lib/torch/include/ATen/ops/_foreach_frac_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8737066Z inflating: build/lib/torch/include/ATen/ops/_foreach_frac_cuda_dispatch.h 2024-08-20T21:38:17.8737720Z inflating: build/lib/torch/include/ATen/ops/_foreach_frac_native.h 2024-08-20T21:38:17.8738230Z inflating: build/lib/torch/include/ATen/ops/_foreach_frac_ops.h 2024-08-20T21:38:17.8738707Z inflating: build/lib/torch/include/ATen/ops/_foreach_lerp.h 2024-08-20T21:38:17.8739589Z inflating: build/lib/torch/include/ATen/ops/_foreach_lerp_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8740330Z inflating: build/lib/torch/include/ATen/ops/_foreach_lerp_cuda_dispatch.h 2024-08-20T21:38:17.8740875Z inflating: build/lib/torch/include/ATen/ops/_foreach_lerp_native.h 2024-08-20T21:38:17.8741377Z inflating: build/lib/torch/include/ATen/ops/_foreach_lerp_ops.h 2024-08-20T21:38:17.8741871Z inflating: build/lib/torch/include/ATen/ops/_foreach_lgamma.h 2024-08-20T21:38:17.8742787Z inflating: build/lib/torch/include/ATen/ops/_foreach_lgamma_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8743434Z inflating: build/lib/torch/include/ATen/ops/_foreach_lgamma_cuda_dispatch.h 2024-08-20T21:38:17.8744043Z inflating: build/lib/torch/include/ATen/ops/_foreach_lgamma_native.h 2024-08-20T21:38:17.8744563Z inflating: build/lib/torch/include/ATen/ops/_foreach_lgamma_ops.h 2024-08-20T21:38:17.8745003Z inflating: build/lib/torch/include/ATen/ops/_foreach_log.h 2024-08-20T21:38:17.8745501Z inflating: build/lib/torch/include/ATen/ops/_foreach_log10.h 2024-08-20T21:38:17.8746381Z inflating: build/lib/torch/include/ATen/ops/_foreach_log10_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8747040Z inflating: build/lib/torch/include/ATen/ops/_foreach_log10_cuda_dispatch.h 2024-08-20T21:38:17.8747582Z inflating: build/lib/torch/include/ATen/ops/_foreach_log10_native.h 2024-08-20T21:38:17.8748088Z inflating: build/lib/torch/include/ATen/ops/_foreach_log10_ops.h 2024-08-20T21:38:17.8748584Z inflating: build/lib/torch/include/ATen/ops/_foreach_log1p.h 2024-08-20T21:38:17.8749322Z inflating: build/lib/torch/include/ATen/ops/_foreach_log1p_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8749966Z inflating: build/lib/torch/include/ATen/ops/_foreach_log1p_cuda_dispatch.h 2024-08-20T21:38:17.8750524Z inflating: build/lib/torch/include/ATen/ops/_foreach_log1p_native.h 2024-08-20T21:38:17.8751055Z inflating: build/lib/torch/include/ATen/ops/_foreach_log1p_ops.h 2024-08-20T21:38:17.8751518Z inflating: build/lib/torch/include/ATen/ops/_foreach_log2.h 2024-08-20T21:38:17.8752405Z inflating: build/lib/torch/include/ATen/ops/_foreach_log2_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8753028Z inflating: build/lib/torch/include/ATen/ops/_foreach_log2_cuda_dispatch.h 2024-08-20T21:38:17.8753586Z inflating: build/lib/torch/include/ATen/ops/_foreach_log2_native.h 2024-08-20T21:38:17.8754092Z inflating: build/lib/torch/include/ATen/ops/_foreach_log2_ops.h 2024-08-20T21:38:17.8754966Z inflating: build/lib/torch/include/ATen/ops/_foreach_log_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8755612Z inflating: build/lib/torch/include/ATen/ops/_foreach_log_cuda_dispatch.h 2024-08-20T21:38:17.8756256Z inflating: build/lib/torch/include/ATen/ops/_foreach_log_native.h 2024-08-20T21:38:17.8756757Z inflating: build/lib/torch/include/ATen/ops/_foreach_log_ops.h 2024-08-20T21:38:17.8757214Z inflating: build/lib/torch/include/ATen/ops/_foreach_max.h 2024-08-20T21:38:17.8758075Z inflating: build/lib/torch/include/ATen/ops/_foreach_max_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8758705Z inflating: build/lib/torch/include/ATen/ops/_foreach_max_cuda_dispatch.h 2024-08-20T21:38:17.8759223Z inflating: build/lib/torch/include/ATen/ops/_foreach_max_native.h 2024-08-20T21:38:17.8759711Z inflating: build/lib/torch/include/ATen/ops/_foreach_max_ops.h 2024-08-20T21:38:17.8760222Z inflating: build/lib/torch/include/ATen/ops/_foreach_maximum.h 2024-08-20T21:38:17.8761154Z inflating: build/lib/torch/include/ATen/ops/_foreach_maximum_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8761875Z inflating: build/lib/torch/include/ATen/ops/_foreach_maximum_cuda_dispatch.h 2024-08-20T21:38:17.8762484Z inflating: build/lib/torch/include/ATen/ops/_foreach_maximum_native.h 2024-08-20T21:38:17.8763022Z inflating: build/lib/torch/include/ATen/ops/_foreach_maximum_ops.h 2024-08-20T21:38:17.8763541Z inflating: build/lib/torch/include/ATen/ops/_foreach_minimum.h 2024-08-20T21:38:17.8764460Z inflating: build/lib/torch/include/ATen/ops/_foreach_minimum_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8765018Z inflating: build/lib/torch/include/ATen/ops/_foreach_minimum_cuda_dispatch.h 2024-08-20T21:38:17.8765608Z inflating: build/lib/torch/include/ATen/ops/_foreach_minimum_native.h 2024-08-20T21:38:17.8766154Z inflating: build/lib/torch/include/ATen/ops/_foreach_minimum_ops.h 2024-08-20T21:38:17.8766600Z inflating: build/lib/torch/include/ATen/ops/_foreach_mul.h 2024-08-20T21:38:17.8767501Z inflating: build/lib/torch/include/ATen/ops/_foreach_mul_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8768127Z inflating: build/lib/torch/include/ATen/ops/_foreach_mul_cuda_dispatch.h 2024-08-20T21:38:17.8768645Z inflating: build/lib/torch/include/ATen/ops/_foreach_mul_native.h 2024-08-20T21:38:17.8769148Z inflating: build/lib/torch/include/ATen/ops/_foreach_mul_ops.h 2024-08-20T21:38:17.8769582Z inflating: build/lib/torch/include/ATen/ops/_foreach_neg.h 2024-08-20T21:38:17.8770470Z inflating: build/lib/torch/include/ATen/ops/_foreach_neg_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8771075Z inflating: build/lib/torch/include/ATen/ops/_foreach_neg_cuda_dispatch.h 2024-08-20T21:38:17.8771591Z inflating: build/lib/torch/include/ATen/ops/_foreach_neg_native.h 2024-08-20T21:38:17.8772104Z inflating: build/lib/torch/include/ATen/ops/_foreach_neg_ops.h 2024-08-20T21:38:17.8772567Z inflating: build/lib/torch/include/ATen/ops/_foreach_norm.h 2024-08-20T21:38:17.8773453Z inflating: build/lib/torch/include/ATen/ops/_foreach_norm_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8774114Z inflating: build/lib/torch/include/ATen/ops/_foreach_norm_cuda_dispatch.h 2024-08-20T21:38:17.8774650Z inflating: build/lib/torch/include/ATen/ops/_foreach_norm_native.h 2024-08-20T21:38:17.8775171Z inflating: build/lib/torch/include/ATen/ops/_foreach_norm_ops.h 2024-08-20T21:38:17.8775605Z inflating: build/lib/torch/include/ATen/ops/_foreach_pow.h 2024-08-20T21:38:17.8776471Z inflating: build/lib/torch/include/ATen/ops/_foreach_pow_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8777095Z inflating: build/lib/torch/include/ATen/ops/_foreach_pow_cuda_dispatch.h 2024-08-20T21:38:17.8777613Z inflating: build/lib/torch/include/ATen/ops/_foreach_pow_native.h 2024-08-20T21:38:17.8778101Z inflating: build/lib/torch/include/ATen/ops/_foreach_pow_ops.h 2024-08-20T21:38:17.8778644Z inflating: build/lib/torch/include/ATen/ops/_foreach_reciprocal.h 2024-08-20T21:38:17.8779609Z inflating: build/lib/torch/include/ATen/ops/_foreach_reciprocal_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8780465Z inflating: build/lib/torch/include/ATen/ops/_foreach_reciprocal_cuda_dispatch.h 2024-08-20T21:38:17.8781100Z inflating: build/lib/torch/include/ATen/ops/_foreach_reciprocal_native.h 2024-08-20T21:38:17.8781675Z inflating: build/lib/torch/include/ATen/ops/_foreach_reciprocal_ops.h 2024-08-20T21:38:17.8782168Z inflating: build/lib/torch/include/ATen/ops/_foreach_round.h 2024-08-20T21:38:17.8783045Z inflating: build/lib/torch/include/ATen/ops/_foreach_round_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8783682Z inflating: build/lib/torch/include/ATen/ops/_foreach_round_cuda_dispatch.h 2024-08-20T21:38:17.8784255Z inflating: build/lib/torch/include/ATen/ops/_foreach_round_native.h 2024-08-20T21:38:17.8784770Z inflating: build/lib/torch/include/ATen/ops/_foreach_round_ops.h 2024-08-20T21:38:17.8785354Z inflating: build/lib/torch/include/ATen/ops/_foreach_sigmoid.h 2024-08-20T21:38:17.8786278Z inflating: build/lib/torch/include/ATen/ops/_foreach_sigmoid_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8786948Z inflating: build/lib/torch/include/ATen/ops/_foreach_sigmoid_cuda_dispatch.h 2024-08-20T21:38:17.8787557Z inflating: build/lib/torch/include/ATen/ops/_foreach_sigmoid_native.h 2024-08-20T21:38:17.8788098Z inflating: build/lib/torch/include/ATen/ops/_foreach_sigmoid_ops.h 2024-08-20T21:38:17.8788556Z inflating: build/lib/torch/include/ATen/ops/_foreach_sign.h 2024-08-20T21:38:17.8789458Z inflating: build/lib/torch/include/ATen/ops/_foreach_sign_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8790080Z inflating: build/lib/torch/include/ATen/ops/_foreach_sign_cuda_dispatch.h 2024-08-20T21:38:17.8790621Z inflating: build/lib/torch/include/ATen/ops/_foreach_sign_native.h 2024-08-20T21:38:17.8791143Z inflating: build/lib/torch/include/ATen/ops/_foreach_sign_ops.h 2024-08-20T21:38:17.8791588Z inflating: build/lib/torch/include/ATen/ops/_foreach_sin.h 2024-08-20T21:38:17.8792484Z inflating: build/lib/torch/include/ATen/ops/_foreach_sin_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8793092Z inflating: build/lib/torch/include/ATen/ops/_foreach_sin_cuda_dispatch.h 2024-08-20T21:38:17.8793642Z inflating: build/lib/torch/include/ATen/ops/_foreach_sin_native.h 2024-08-20T21:38:17.8794156Z inflating: build/lib/torch/include/ATen/ops/_foreach_sin_ops.h 2024-08-20T21:38:17.8794620Z inflating: build/lib/torch/include/ATen/ops/_foreach_sinh.h 2024-08-20T21:38:17.8795489Z inflating: build/lib/torch/include/ATen/ops/_foreach_sinh_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8796129Z inflating: build/lib/torch/include/ATen/ops/_foreach_sinh_cuda_dispatch.h 2024-08-20T21:38:17.8796666Z inflating: build/lib/torch/include/ATen/ops/_foreach_sinh_native.h 2024-08-20T21:38:17.8797179Z inflating: build/lib/torch/include/ATen/ops/_foreach_sinh_ops.h 2024-08-20T21:38:17.8797659Z inflating: build/lib/torch/include/ATen/ops/_foreach_sqrt.h 2024-08-20T21:38:17.8798549Z inflating: build/lib/torch/include/ATen/ops/_foreach_sqrt_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8799181Z inflating: build/lib/torch/include/ATen/ops/_foreach_sqrt_cuda_dispatch.h 2024-08-20T21:38:17.8799718Z inflating: build/lib/torch/include/ATen/ops/_foreach_sqrt_native.h 2024-08-20T21:38:17.8800241Z inflating: build/lib/torch/include/ATen/ops/_foreach_sqrt_ops.h 2024-08-20T21:38:17.8800612Z inflating: build/lib/torch/include/ATen/ops/_foreach_sub.h 2024-08-20T21:38:17.8801481Z inflating: build/lib/torch/include/ATen/ops/_foreach_sub_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8802099Z inflating: build/lib/torch/include/ATen/ops/_foreach_sub_cuda_dispatch.h 2024-08-20T21:38:17.8802639Z inflating: build/lib/torch/include/ATen/ops/_foreach_sub_native.h 2024-08-20T21:38:17.8803125Z inflating: build/lib/torch/include/ATen/ops/_foreach_sub_ops.h 2024-08-20T21:38:17.8803587Z inflating: build/lib/torch/include/ATen/ops/_foreach_tan.h 2024-08-20T21:38:17.8804575Z inflating: build/lib/torch/include/ATen/ops/_foreach_tan_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8805244Z inflating: build/lib/torch/include/ATen/ops/_foreach_tan_cuda_dispatch.h 2024-08-20T21:38:17.8805792Z inflating: build/lib/torch/include/ATen/ops/_foreach_tan_native.h 2024-08-20T21:38:17.8806293Z inflating: build/lib/torch/include/ATen/ops/_foreach_tan_ops.h 2024-08-20T21:38:17.8806763Z inflating: build/lib/torch/include/ATen/ops/_foreach_tanh.h 2024-08-20T21:38:17.8807677Z inflating: build/lib/torch/include/ATen/ops/_foreach_tanh_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8808315Z inflating: build/lib/torch/include/ATen/ops/_foreach_tanh_cuda_dispatch.h 2024-08-20T21:38:17.8808862Z inflating: build/lib/torch/include/ATen/ops/_foreach_tanh_native.h 2024-08-20T21:38:17.8809472Z inflating: build/lib/torch/include/ATen/ops/_foreach_tanh_ops.h 2024-08-20T21:38:17.8809968Z inflating: build/lib/torch/include/ATen/ops/_foreach_trunc.h 2024-08-20T21:38:17.8810885Z inflating: build/lib/torch/include/ATen/ops/_foreach_trunc_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8811536Z inflating: build/lib/torch/include/ATen/ops/_foreach_trunc_cuda_dispatch.h 2024-08-20T21:38:17.8812095Z inflating: build/lib/torch/include/ATen/ops/_foreach_trunc_native.h 2024-08-20T21:38:17.8812621Z inflating: build/lib/torch/include/ATen/ops/_foreach_trunc_ops.h 2024-08-20T21:38:17.8813077Z inflating: build/lib/torch/include/ATen/ops/_foreach_zero.h 2024-08-20T21:38:17.8813946Z inflating: build/lib/torch/include/ATen/ops/_foreach_zero_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8814589Z inflating: build/lib/torch/include/ATen/ops/_foreach_zero_cuda_dispatch.h 2024-08-20T21:38:17.8815132Z inflating: build/lib/torch/include/ATen/ops/_foreach_zero_native.h 2024-08-20T21:38:17.8815670Z inflating: build/lib/torch/include/ATen/ops/_foreach_zero_ops.h 2024-08-20T21:38:17.8816278Z inflating: build/lib/torch/include/ATen/ops/_functional_assert_async.h 2024-08-20T21:38:17.8817020Z inflating: build/lib/torch/include/ATen/ops/_functional_assert_async_cpu_dispatch.h 2024-08-20T21:38:17.8817705Z inflating: build/lib/torch/include/ATen/ops/_functional_assert_async_native.h 2024-08-20T21:38:17.8818338Z inflating: build/lib/torch/include/ATen/ops/_functional_assert_async_ops.h 2024-08-20T21:38:17.8818952Z inflating: build/lib/torch/include/ATen/ops/_functional_assert_scalar.h 2024-08-20T21:38:17.8820073Z inflating: build/lib/torch/include/ATen/ops/_functional_assert_scalar_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8820762Z inflating: build/lib/torch/include/ATen/ops/_functional_assert_scalar_native.h 2024-08-20T21:38:17.8821435Z inflating: build/lib/torch/include/ATen/ops/_functional_assert_scalar_ops.h 2024-08-20T21:38:17.8822122Z inflating: build/lib/torch/include/ATen/ops/_functional_sym_constrain_range.h 2024-08-20T21:38:17.8823218Z inflating: build/lib/torch/include/ATen/ops/_functional_sym_constrain_range_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8823992Z inflating: build/lib/torch/include/ATen/ops/_functional_sym_constrain_range_for_size.h 2024-08-20T21:38:17.8825170Z inflating: build/lib/torch/include/ATen/ops/_functional_sym_constrain_range_for_size_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8826162Z inflating: build/lib/torch/include/ATen/ops/_functional_sym_constrain_range_for_size_native.h 2024-08-20T21:38:17.8826995Z inflating: build/lib/torch/include/ATen/ops/_functional_sym_constrain_range_for_size_ops.h 2024-08-20T21:38:17.8827763Z inflating: build/lib/torch/include/ATen/ops/_functional_sym_constrain_range_native.h 2024-08-20T21:38:17.8828502Z inflating: build/lib/torch/include/ATen/ops/_functional_sym_constrain_range_ops.h 2024-08-20T21:38:17.8828987Z inflating: build/lib/torch/include/ATen/ops/_fused_adagrad.h 2024-08-20T21:38:17.8830021Z inflating: build/lib/torch/include/ATen/ops/_fused_adagrad_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8830666Z inflating: build/lib/torch/include/ATen/ops/_fused_adagrad_cpu_dispatch.h 2024-08-20T21:38:17.8831218Z inflating: build/lib/torch/include/ATen/ops/_fused_adagrad_native.h 2024-08-20T21:38:17.8831735Z inflating: build/lib/torch/include/ATen/ops/_fused_adagrad_ops.h 2024-08-20T21:38:17.8832179Z inflating: build/lib/torch/include/ATen/ops/_fused_adam.h 2024-08-20T21:38:17.8833045Z inflating: build/lib/torch/include/ATen/ops/_fused_adam_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8833600Z inflating: build/lib/torch/include/ATen/ops/_fused_adam_cpu_dispatch.h 2024-08-20T21:38:17.8834223Z inflating: build/lib/torch/include/ATen/ops/_fused_adam_cuda_dispatch.h 2024-08-20T21:38:17.8834747Z inflating: build/lib/torch/include/ATen/ops/_fused_adam_native.h 2024-08-20T21:38:17.8835376Z inflating: build/lib/torch/include/ATen/ops/_fused_adam_ops.h 2024-08-20T21:38:17.8835827Z inflating: build/lib/torch/include/ATen/ops/_fused_adamw.h 2024-08-20T21:38:17.8836714Z inflating: build/lib/torch/include/ATen/ops/_fused_adamw_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8837223Z inflating: build/lib/torch/include/ATen/ops/_fused_adamw_cpu_dispatch.h 2024-08-20T21:38:17.8837837Z inflating: build/lib/torch/include/ATen/ops/_fused_adamw_cuda_dispatch.h 2024-08-20T21:38:17.8838356Z inflating: build/lib/torch/include/ATen/ops/_fused_adamw_native.h 2024-08-20T21:38:17.8838866Z inflating: build/lib/torch/include/ATen/ops/_fused_adamw_ops.h 2024-08-20T21:38:17.8839335Z inflating: build/lib/torch/include/ATen/ops/_fused_dropout.h 2024-08-20T21:38:17.8840246Z inflating: build/lib/torch/include/ATen/ops/_fused_dropout_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8840885Z inflating: build/lib/torch/include/ATen/ops/_fused_dropout_cuda_dispatch.h 2024-08-20T21:38:17.8841452Z inflating: build/lib/torch/include/ATen/ops/_fused_dropout_native.h 2024-08-20T21:38:17.8841993Z inflating: build/lib/torch/include/ATen/ops/_fused_dropout_ops.h 2024-08-20T21:38:17.8842665Z inflating: build/lib/torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper.h 2024-08-20T21:38:17.8843748Z inflating: build/lib/torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8844570Z inflating: build/lib/torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_cpu_dispatch.h 2024-08-20T21:38:17.8845402Z inflating: build/lib/torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_cuda_dispatch.h 2024-08-20T21:38:17.8846181Z inflating: build/lib/torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_native.h 2024-08-20T21:38:17.8846877Z inflating: build/lib/torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_ops.h 2024-08-20T21:38:17.8847387Z inflating: build/lib/torch/include/ATen/ops/_fused_sdp_choice.h 2024-08-20T21:38:17.8848073Z inflating: build/lib/torch/include/ATen/ops/_fused_sdp_choice_cpu_dispatch.h 2024-08-20T21:38:17.8848751Z inflating: build/lib/torch/include/ATen/ops/_fused_sdp_choice_cuda_dispatch.h 2024-08-20T21:38:17.8849430Z inflating: build/lib/torch/include/ATen/ops/_fused_sdp_choice_meta_dispatch.h 2024-08-20T21:38:17.8850032Z inflating: build/lib/torch/include/ATen/ops/_fused_sdp_choice_native.h 2024-08-20T21:38:17.8850581Z inflating: build/lib/torch/include/ATen/ops/_fused_sdp_choice_ops.h 2024-08-20T21:38:17.8850993Z inflating: build/lib/torch/include/ATen/ops/_fused_sgd.h 2024-08-20T21:38:17.8851860Z inflating: build/lib/torch/include/ATen/ops/_fused_sgd_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8852441Z inflating: build/lib/torch/include/ATen/ops/_fused_sgd_cpu_dispatch.h 2024-08-20T21:38:17.8853044Z inflating: build/lib/torch/include/ATen/ops/_fused_sgd_cuda_dispatch.h 2024-08-20T21:38:17.8853558Z inflating: build/lib/torch/include/ATen/ops/_fused_sgd_native.h 2024-08-20T21:38:17.8854121Z inflating: build/lib/torch/include/ATen/ops/_fused_sgd_ops.h 2024-08-20T21:38:17.8854555Z inflating: build/lib/torch/include/ATen/ops/_fw_primal.h 2024-08-20T21:38:17.8855389Z inflating: build/lib/torch/include/ATen/ops/_fw_primal_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8855874Z inflating: build/lib/torch/include/ATen/ops/_fw_primal_copy.h 2024-08-20T21:38:17.8856796Z inflating: build/lib/torch/include/ATen/ops/_fw_primal_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8857874Z inflating: build/lib/torch/include/ATen/ops/_fw_primal_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.8858461Z inflating: build/lib/torch/include/ATen/ops/_fw_primal_copy_native.h 2024-08-20T21:38:17.8858985Z inflating: build/lib/torch/include/ATen/ops/_fw_primal_copy_ops.h 2024-08-20T21:38:17.8859488Z inflating: build/lib/torch/include/ATen/ops/_fw_primal_native.h 2024-08-20T21:38:17.8860225Z inflating: build/lib/torch/include/ATen/ops/_fw_primal_ops.h 2024-08-20T21:38:17.8860824Z inflating: build/lib/torch/include/ATen/ops/_gather_sparse_backward.h 2024-08-20T21:38:17.8861825Z inflating: build/lib/torch/include/ATen/ops/_gather_sparse_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8862510Z inflating: build/lib/torch/include/ATen/ops/_gather_sparse_backward_native.h 2024-08-20T21:38:17.8863138Z inflating: build/lib/torch/include/ATen/ops/_gather_sparse_backward_ops.h 2024-08-20T21:38:17.8863795Z inflating: build/lib/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback.h 2024-08-20T21:38:17.8864551Z inflating: build/lib/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward.h 2024-08-20T21:38:17.8865701Z inflating: build/lib/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8866522Z inflating: build/lib/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_native.h 2024-08-20T21:38:17.8867338Z inflating: build/lib/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_ops.h 2024-08-20T21:38:17.8868395Z inflating: build/lib/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8869127Z inflating: build/lib/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_native.h 2024-08-20T21:38:17.8869811Z inflating: build/lib/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_ops.h 2024-08-20T21:38:17.8870541Z inflating: build/lib/torch/include/ATen/ops/_has_compatible_shallow_copy_type.h 2024-08-20T21:38:17.8871643Z inflating: build/lib/torch/include/ATen/ops/_has_compatible_shallow_copy_type_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8872423Z inflating: build/lib/torch/include/ATen/ops/_has_compatible_shallow_copy_type_native.h 2024-08-20T21:38:17.8873185Z inflating: build/lib/torch/include/ATen/ops/_has_compatible_shallow_copy_type_ops.h 2024-08-20T21:38:17.8873601Z inflating: build/lib/torch/include/ATen/ops/_has_same_storage_numel.h 2024-08-20T21:38:17.8874593Z inflating: build/lib/torch/include/ATen/ops/_has_same_storage_numel_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8875272Z inflating: build/lib/torch/include/ATen/ops/_has_same_storage_numel_native.h 2024-08-20T21:38:17.8875895Z inflating: build/lib/torch/include/ATen/ops/_has_same_storage_numel_ops.h 2024-08-20T21:38:17.8876483Z inflating: build/lib/torch/include/ATen/ops/_histogramdd_bin_edges.h 2024-08-20T21:38:17.8877471Z inflating: build/lib/torch/include/ATen/ops/_histogramdd_bin_edges_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8878190Z inflating: build/lib/torch/include/ATen/ops/_histogramdd_bin_edges_cpu_dispatch.h 2024-08-20T21:38:17.8878847Z inflating: build/lib/torch/include/ATen/ops/_histogramdd_bin_edges_native.h 2024-08-20T21:38:17.8879458Z inflating: build/lib/torch/include/ATen/ops/_histogramdd_bin_edges_ops.h 2024-08-20T21:38:17.8880062Z inflating: build/lib/torch/include/ATen/ops/_histogramdd_from_bin_cts.h 2024-08-20T21:38:17.8881198Z inflating: build/lib/torch/include/ATen/ops/_histogramdd_from_bin_cts_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8881962Z inflating: build/lib/torch/include/ATen/ops/_histogramdd_from_bin_cts_cpu_dispatch.h 2024-08-20T21:38:17.8882668Z inflating: build/lib/torch/include/ATen/ops/_histogramdd_from_bin_cts_native.h 2024-08-20T21:38:17.8883308Z inflating: build/lib/torch/include/ATen/ops/_histogramdd_from_bin_cts_ops.h 2024-08-20T21:38:17.8883932Z inflating: build/lib/torch/include/ATen/ops/_histogramdd_from_bin_tensors.h 2024-08-20T21:38:17.8885019Z inflating: build/lib/torch/include/ATen/ops/_histogramdd_from_bin_tensors_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8885821Z inflating: build/lib/torch/include/ATen/ops/_histogramdd_from_bin_tensors_cpu_dispatch.h 2024-08-20T21:38:17.8886643Z inflating: build/lib/torch/include/ATen/ops/_histogramdd_from_bin_tensors_native.h 2024-08-20T21:38:17.8887358Z inflating: build/lib/torch/include/ATen/ops/_histogramdd_from_bin_tensors_ops.h 2024-08-20T21:38:17.8887839Z inflating: build/lib/torch/include/ATen/ops/_index_put_impl.h 2024-08-20T21:38:17.8888780Z inflating: build/lib/torch/include/ATen/ops/_index_put_impl_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8889410Z inflating: build/lib/torch/include/ATen/ops/_index_put_impl_cpu_dispatch.h 2024-08-20T21:38:17.8890051Z inflating: build/lib/torch/include/ATen/ops/_index_put_impl_cuda_dispatch.h 2024-08-20T21:38:17.8890705Z inflating: build/lib/torch/include/ATen/ops/_index_put_impl_meta_dispatch.h 2024-08-20T21:38:17.8891272Z inflating: build/lib/torch/include/ATen/ops/_index_put_impl_native.h 2024-08-20T21:38:17.8891797Z inflating: build/lib/torch/include/ATen/ops/_index_put_impl_ops.h 2024-08-20T21:38:17.8892212Z inflating: build/lib/torch/include/ATen/ops/_indices.h 2024-08-20T21:38:17.8892684Z inflating: build/lib/torch/include/ATen/ops/_indices_copy.h 2024-08-20T21:38:17.8893609Z inflating: build/lib/torch/include/ATen/ops/_indices_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8894674Z inflating: build/lib/torch/include/ATen/ops/_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.8895208Z inflating: build/lib/torch/include/ATen/ops/_indices_copy_native.h 2024-08-20T21:38:17.8895736Z inflating: build/lib/torch/include/ATen/ops/_indices_copy_ops.h 2024-08-20T21:38:17.8896235Z inflating: build/lib/torch/include/ATen/ops/_indices_native.h 2024-08-20T21:38:17.8896678Z inflating: build/lib/torch/include/ATen/ops/_indices_ops.h 2024-08-20T21:38:17.8897071Z inflating: build/lib/torch/include/ATen/ops/_int_mm.h 2024-08-20T21:38:17.8897607Z inflating: build/lib/torch/include/ATen/ops/_int_mm_cpu_dispatch.h 2024-08-20T21:38:17.8898132Z inflating: build/lib/torch/include/ATen/ops/_int_mm_cuda_dispatch.h 2024-08-20T21:38:17.8898624Z inflating: build/lib/torch/include/ATen/ops/_int_mm_native.h 2024-08-20T21:38:17.8899050Z inflating: build/lib/torch/include/ATen/ops/_int_mm_ops.h 2024-08-20T21:38:17.8899501Z inflating: build/lib/torch/include/ATen/ops/_is_all_true.h 2024-08-20T21:38:17.8900460Z inflating: build/lib/torch/include/ATen/ops/_is_all_true_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8900978Z inflating: build/lib/torch/include/ATen/ops/_is_all_true_native.h 2024-08-20T21:38:17.8901487Z inflating: build/lib/torch/include/ATen/ops/_is_all_true_ops.h 2024-08-20T21:38:17.8901930Z inflating: build/lib/torch/include/ATen/ops/_is_any_true.h 2024-08-20T21:38:17.8902806Z inflating: build/lib/torch/include/ATen/ops/_is_any_true_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8903346Z inflating: build/lib/torch/include/ATen/ops/_is_any_true_native.h 2024-08-20T21:38:17.8903839Z inflating: build/lib/torch/include/ATen/ops/_is_any_true_ops.h 2024-08-20T21:38:17.8904316Z inflating: build/lib/torch/include/ATen/ops/_is_zerotensor.h 2024-08-20T21:38:17.8905320Z inflating: build/lib/torch/include/ATen/ops/_is_zerotensor_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8905875Z inflating: build/lib/torch/include/ATen/ops/_is_zerotensor_native.h 2024-08-20T21:38:17.8906416Z inflating: build/lib/torch/include/ATen/ops/_is_zerotensor_ops.h 2024-08-20T21:38:17.8907091Z inflating: build/lib/torch/include/ATen/ops/_jagged_to_padded_dense_forward.h 2024-08-20T21:38:17.8907913Z inflating: build/lib/torch/include/ATen/ops/_jagged_to_padded_dense_forward_cpu_dispatch.h 2024-08-20T21:38:17.8908747Z inflating: build/lib/torch/include/ATen/ops/_jagged_to_padded_dense_forward_cuda_dispatch.h 2024-08-20T21:38:17.8909491Z inflating: build/lib/torch/include/ATen/ops/_jagged_to_padded_dense_forward_native.h 2024-08-20T21:38:17.8910059Z inflating: build/lib/torch/include/ATen/ops/_jagged_to_padded_dense_forward_ops.h 2024-08-20T21:38:17.8910562Z inflating: build/lib/torch/include/ATen/ops/_lazy_clone.h 2024-08-20T21:38:17.8911417Z inflating: build/lib/torch/include/ATen/ops/_lazy_clone_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8911948Z inflating: build/lib/torch/include/ATen/ops/_lazy_clone_native.h 2024-08-20T21:38:17.8912425Z inflating: build/lib/torch/include/ATen/ops/_lazy_clone_ops.h 2024-08-20T21:38:17.8912966Z inflating: build/lib/torch/include/ATen/ops/_linalg_check_errors.h 2024-08-20T21:38:17.8913950Z inflating: build/lib/torch/include/ATen/ops/_linalg_check_errors_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8914573Z inflating: build/lib/torch/include/ATen/ops/_linalg_check_errors_native.h 2024-08-20T21:38:17.8915158Z inflating: build/lib/torch/include/ATen/ops/_linalg_check_errors_ops.h 2024-08-20T21:38:17.8915604Z inflating: build/lib/torch/include/ATen/ops/_linalg_det.h 2024-08-20T21:38:17.8916627Z inflating: build/lib/torch/include/ATen/ops/_linalg_det_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.8917245Z inflating: build/lib/torch/include/ATen/ops/_linalg_det_cpu_dispatch.h 2024-08-20T21:38:17.8917851Z inflating: build/lib/torch/include/ATen/ops/_linalg_det_cuda_dispatch.h 2024-08-20T21:38:17.8918348Z inflating: build/lib/torch/include/ATen/ops/_linalg_det_meta.h 2024-08-20T21:38:17.8918966Z inflating: build/lib/torch/include/ATen/ops/_linalg_det_meta_dispatch.h 2024-08-20T21:38:17.8919497Z inflating: build/lib/torch/include/ATen/ops/_linalg_det_native.h 2024-08-20T21:38:17.8919979Z inflating: build/lib/torch/include/ATen/ops/_linalg_det_ops.h 2024-08-20T21:38:17.8920474Z inflating: build/lib/torch/include/ATen/ops/_linalg_eigh.h 2024-08-20T21:38:17.8921516Z inflating: build/lib/torch/include/ATen/ops/_linalg_eigh_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.8922135Z inflating: build/lib/torch/include/ATen/ops/_linalg_eigh_cpu_dispatch.h 2024-08-20T21:38:17.8922754Z inflating: build/lib/torch/include/ATen/ops/_linalg_eigh_cuda_dispatch.h 2024-08-20T21:38:17.8923274Z inflating: build/lib/torch/include/ATen/ops/_linalg_eigh_meta.h 2024-08-20T21:38:17.8923895Z inflating: build/lib/torch/include/ATen/ops/_linalg_eigh_meta_dispatch.h 2024-08-20T21:38:17.8924427Z inflating: build/lib/torch/include/ATen/ops/_linalg_eigh_native.h 2024-08-20T21:38:17.8924929Z inflating: build/lib/torch/include/ATen/ops/_linalg_eigh_ops.h 2024-08-20T21:38:17.8925440Z inflating: build/lib/torch/include/ATen/ops/_linalg_eigvals.h 2024-08-20T21:38:17.8926385Z inflating: build/lib/torch/include/ATen/ops/_linalg_eigvals_cpu_dispatch.h 2024-08-20T21:38:17.8927055Z inflating: build/lib/torch/include/ATen/ops/_linalg_eigvals_cuda_dispatch.h 2024-08-20T21:38:17.8927635Z inflating: build/lib/torch/include/ATen/ops/_linalg_eigvals_native.h 2024-08-20T21:38:17.8928107Z inflating: build/lib/torch/include/ATen/ops/_linalg_eigvals_ops.h 2024-08-20T21:38:17.8928626Z inflating: build/lib/torch/include/ATen/ops/_linalg_slogdet.h 2024-08-20T21:38:17.8929869Z inflating: build/lib/torch/include/ATen/ops/_linalg_slogdet_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.8930511Z inflating: build/lib/torch/include/ATen/ops/_linalg_slogdet_cpu_dispatch.h 2024-08-20T21:38:17.8931165Z inflating: build/lib/torch/include/ATen/ops/_linalg_slogdet_cuda_dispatch.h 2024-08-20T21:38:17.8931706Z inflating: build/lib/torch/include/ATen/ops/_linalg_slogdet_meta.h 2024-08-20T21:38:17.8932343Z inflating: build/lib/torch/include/ATen/ops/_linalg_slogdet_meta_dispatch.h 2024-08-20T21:38:17.8932930Z inflating: build/lib/torch/include/ATen/ops/_linalg_slogdet_native.h 2024-08-20T21:38:17.8933460Z inflating: build/lib/torch/include/ATen/ops/_linalg_slogdet_ops.h 2024-08-20T21:38:17.8933978Z inflating: build/lib/torch/include/ATen/ops/_linalg_solve_ex.h 2024-08-20T21:38:17.8935066Z inflating: build/lib/torch/include/ATen/ops/_linalg_solve_ex_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.8935831Z inflating: build/lib/torch/include/ATen/ops/_linalg_solve_ex_cpu_dispatch.h 2024-08-20T21:38:17.8936520Z inflating: build/lib/torch/include/ATen/ops/_linalg_solve_ex_cuda_dispatch.h 2024-08-20T21:38:17.8937065Z inflating: build/lib/torch/include/ATen/ops/_linalg_solve_ex_meta.h 2024-08-20T21:38:17.8937724Z inflating: build/lib/torch/include/ATen/ops/_linalg_solve_ex_meta_dispatch.h 2024-08-20T21:38:17.8938303Z inflating: build/lib/torch/include/ATen/ops/_linalg_solve_ex_native.h 2024-08-20T21:38:17.8938827Z inflating: build/lib/torch/include/ATen/ops/_linalg_solve_ex_ops.h 2024-08-20T21:38:17.8939226Z inflating: build/lib/torch/include/ATen/ops/_linalg_svd.h 2024-08-20T21:38:17.8940346Z inflating: build/lib/torch/include/ATen/ops/_linalg_svd_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.8940944Z inflating: build/lib/torch/include/ATen/ops/_linalg_svd_cpu_dispatch.h 2024-08-20T21:38:17.8941590Z inflating: build/lib/torch/include/ATen/ops/_linalg_svd_cuda_dispatch.h 2024-08-20T21:38:17.8942090Z inflating: build/lib/torch/include/ATen/ops/_linalg_svd_meta.h 2024-08-20T21:38:17.8942695Z inflating: build/lib/torch/include/ATen/ops/_linalg_svd_meta_dispatch.h 2024-08-20T21:38:17.8943224Z inflating: build/lib/torch/include/ATen/ops/_linalg_svd_native.h 2024-08-20T21:38:17.8943701Z inflating: build/lib/torch/include/ATen/ops/_linalg_svd_ops.h 2024-08-20T21:38:17.8944249Z inflating: build/lib/torch/include/ATen/ops/_local_scalar_dense.h 2024-08-20T21:38:17.8944959Z inflating: build/lib/torch/include/ATen/ops/_local_scalar_dense_cpu_dispatch.h 2024-08-20T21:38:17.8945657Z inflating: build/lib/torch/include/ATen/ops/_local_scalar_dense_cuda_dispatch.h 2024-08-20T21:38:17.8946303Z inflating: build/lib/torch/include/ATen/ops/_local_scalar_dense_native.h 2024-08-20T21:38:17.8946894Z inflating: build/lib/torch/include/ATen/ops/_local_scalar_dense_ops.h 2024-08-20T21:38:17.8947338Z inflating: build/lib/torch/include/ATen/ops/_log_softmax.h 2024-08-20T21:38:17.8947986Z inflating: build/lib/torch/include/ATen/ops/_log_softmax_backward_data.h 2024-08-20T21:38:17.8948915Z inflating: build/lib/torch/include/ATen/ops/_log_softmax_backward_data_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.8949693Z inflating: build/lib/torch/include/ATen/ops/_log_softmax_backward_data_cpu_dispatch.h 2024-08-20T21:38:17.8950481Z inflating: build/lib/torch/include/ATen/ops/_log_softmax_backward_data_cuda_dispatch.h 2024-08-20T21:38:17.8951151Z inflating: build/lib/torch/include/ATen/ops/_log_softmax_backward_data_meta.h 2024-08-20T21:38:17.8951924Z inflating: build/lib/torch/include/ATen/ops/_log_softmax_backward_data_meta_dispatch.h 2024-08-20T21:38:17.8952626Z inflating: build/lib/torch/include/ATen/ops/_log_softmax_backward_data_native.h 2024-08-20T21:38:17.8953291Z inflating: build/lib/torch/include/ATen/ops/_log_softmax_backward_data_ops.h 2024-08-20T21:38:17.8954487Z inflating: build/lib/torch/include/ATen/ops/_log_softmax_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.8955101Z inflating: build/lib/torch/include/ATen/ops/_log_softmax_cpu_dispatch.h 2024-08-20T21:38:17.8955714Z inflating: build/lib/torch/include/ATen/ops/_log_softmax_cuda_dispatch.h 2024-08-20T21:38:17.8956253Z inflating: build/lib/torch/include/ATen/ops/_log_softmax_meta.h 2024-08-20T21:38:17.8956867Z inflating: build/lib/torch/include/ATen/ops/_log_softmax_meta_dispatch.h 2024-08-20T21:38:17.8957395Z inflating: build/lib/torch/include/ATen/ops/_log_softmax_native.h 2024-08-20T21:38:17.8957903Z inflating: build/lib/torch/include/ATen/ops/_log_softmax_ops.h 2024-08-20T21:38:17.8958370Z inflating: build/lib/torch/include/ATen/ops/_logcumsumexp.h 2024-08-20T21:38:17.8959025Z inflating: build/lib/torch/include/ATen/ops/_logcumsumexp_cpu_dispatch.h 2024-08-20T21:38:17.8959666Z inflating: build/lib/torch/include/ATen/ops/_logcumsumexp_cuda_dispatch.h 2024-08-20T21:38:17.8960304Z inflating: build/lib/torch/include/ATen/ops/_logcumsumexp_native.h 2024-08-20T21:38:17.8960838Z inflating: build/lib/torch/include/ATen/ops/_logcumsumexp_ops.h 2024-08-20T21:38:17.8961240Z inflating: build/lib/torch/include/ATen/ops/_lstm_mps.h 2024-08-20T21:38:17.8962098Z inflating: build/lib/torch/include/ATen/ops/_lstm_mps_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8962604Z inflating: build/lib/torch/include/ATen/ops/_lstm_mps_native.h 2024-08-20T21:38:17.8963064Z inflating: build/lib/torch/include/ATen/ops/_lstm_mps_ops.h 2024-08-20T21:38:17.8963543Z inflating: build/lib/torch/include/ATen/ops/_lu_with_info.h 2024-08-20T21:38:17.8964430Z inflating: build/lib/torch/include/ATen/ops/_lu_with_info_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.8964966Z inflating: build/lib/torch/include/ATen/ops/_lu_with_info_native.h 2024-08-20T21:38:17.8965487Z inflating: build/lib/torch/include/ATen/ops/_lu_with_info_ops.h 2024-08-20T21:38:17.8965972Z inflating: build/lib/torch/include/ATen/ops/_make_dep_token.h 2024-08-20T21:38:17.8966625Z inflating: build/lib/torch/include/ATen/ops/_make_dep_token_cpu_dispatch.h 2024-08-20T21:38:17.8967204Z inflating: build/lib/torch/include/ATen/ops/_make_dep_token_native.h 2024-08-20T21:38:17.8967724Z inflating: build/lib/torch/include/ATen/ops/_make_dep_token_ops.h 2024-08-20T21:38:17.8968135Z inflating: build/lib/torch/include/ATen/ops/_make_dual.h 2024-08-20T21:38:17.8969009Z inflating: build/lib/torch/include/ATen/ops/_make_dual_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8969488Z inflating: build/lib/torch/include/ATen/ops/_make_dual_copy.h 2024-08-20T21:38:17.8970321Z inflating: build/lib/torch/include/ATen/ops/_make_dual_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8971420Z inflating: build/lib/torch/include/ATen/ops/_make_dual_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.8972006Z inflating: build/lib/torch/include/ATen/ops/_make_dual_copy_native.h 2024-08-20T21:38:17.8972549Z inflating: build/lib/torch/include/ATen/ops/_make_dual_copy_ops.h 2024-08-20T21:38:17.8973051Z inflating: build/lib/torch/include/ATen/ops/_make_dual_native.h 2024-08-20T21:38:17.8973515Z inflating: build/lib/torch/include/ATen/ops/_make_dual_ops.h 2024-08-20T21:38:17.8974233Z inflating: build/lib/torch/include/ATen/ops/_make_per_channel_quantized_tensor.h 2024-08-20T21:38:17.8975348Z inflating: build/lib/torch/include/ATen/ops/_make_per_channel_quantized_tensor_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8976199Z inflating: build/lib/torch/include/ATen/ops/_make_per_channel_quantized_tensor_cpu_dispatch.h 2024-08-20T21:38:17.8977055Z inflating: build/lib/torch/include/ATen/ops/_make_per_channel_quantized_tensor_cuda_dispatch.h 2024-08-20T21:38:17.8977826Z inflating: build/lib/torch/include/ATen/ops/_make_per_channel_quantized_tensor_native.h 2024-08-20T21:38:17.8978609Z inflating: build/lib/torch/include/ATen/ops/_make_per_channel_quantized_tensor_ops.h 2024-08-20T21:38:17.8979382Z inflating: build/lib/torch/include/ATen/ops/_make_per_tensor_quantized_tensor.h 2024-08-20T21:38:17.8980565Z inflating: build/lib/torch/include/ATen/ops/_make_per_tensor_quantized_tensor_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8981429Z inflating: build/lib/torch/include/ATen/ops/_make_per_tensor_quantized_tensor_cpu_dispatch.h 2024-08-20T21:38:17.8982264Z inflating: build/lib/torch/include/ATen/ops/_make_per_tensor_quantized_tensor_cuda_dispatch.h 2024-08-20T21:38:17.8983048Z inflating: build/lib/torch/include/ATen/ops/_make_per_tensor_quantized_tensor_native.h 2024-08-20T21:38:17.8983765Z inflating: build/lib/torch/include/ATen/ops/_make_per_tensor_quantized_tensor_ops.h 2024-08-20T21:38:17.8984242Z inflating: build/lib/torch/include/ATen/ops/_masked_scale.h 2024-08-20T21:38:17.8985140Z inflating: build/lib/torch/include/ATen/ops/_masked_scale_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8985945Z inflating: build/lib/torch/include/ATen/ops/_masked_scale_cuda_dispatch.h 2024-08-20T21:38:17.8986482Z inflating: build/lib/torch/include/ATen/ops/_masked_scale_native.h 2024-08-20T21:38:17.8987026Z inflating: build/lib/torch/include/ATen/ops/_masked_scale_ops.h 2024-08-20T21:38:17.8987362Z inflating: build/lib/torch/include/ATen/ops/_masked_softmax.h 2024-08-20T21:38:17.8987924Z inflating: build/lib/torch/include/ATen/ops/_masked_softmax_backward.h 2024-08-20T21:38:17.8988928Z inflating: build/lib/torch/include/ATen/ops/_masked_softmax_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8989658Z inflating: build/lib/torch/include/ATen/ops/_masked_softmax_backward_cpu_dispatch.h 2024-08-20T21:38:17.8990420Z inflating: build/lib/torch/include/ATen/ops/_masked_softmax_backward_cuda_dispatch.h 2024-08-20T21:38:17.8991102Z inflating: build/lib/torch/include/ATen/ops/_masked_softmax_backward_native.h 2024-08-20T21:38:17.8991755Z inflating: build/lib/torch/include/ATen/ops/_masked_softmax_backward_ops.h 2024-08-20T21:38:17.8992674Z inflating: build/lib/torch/include/ATen/ops/_masked_softmax_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8993310Z inflating: build/lib/torch/include/ATen/ops/_masked_softmax_cpu_dispatch.h 2024-08-20T21:38:17.8993956Z inflating: build/lib/torch/include/ATen/ops/_masked_softmax_cuda_dispatch.h 2024-08-20T21:38:17.8994521Z inflating: build/lib/torch/include/ATen/ops/_masked_softmax_native.h 2024-08-20T21:38:17.8995053Z inflating: build/lib/torch/include/ATen/ops/_masked_softmax_ops.h 2024-08-20T21:38:17.8995613Z inflating: build/lib/torch/include/ATen/ops/_mixed_dtypes_linear.h 2024-08-20T21:38:17.8996324Z inflating: build/lib/torch/include/ATen/ops/_mixed_dtypes_linear_cuda_dispatch.h 2024-08-20T21:38:17.8996951Z inflating: build/lib/torch/include/ATen/ops/_mixed_dtypes_linear_native.h 2024-08-20T21:38:17.8997570Z inflating: build/lib/torch/include/ATen/ops/_mixed_dtypes_linear_ops.h 2024-08-20T21:38:17.8998052Z inflating: build/lib/torch/include/ATen/ops/_mkldnn_reshape.h 2024-08-20T21:38:17.8998970Z inflating: build/lib/torch/include/ATen/ops/_mkldnn_reshape_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.8999544Z inflating: build/lib/torch/include/ATen/ops/_mkldnn_reshape_native.h 2024-08-20T21:38:17.9000066Z inflating: build/lib/torch/include/ATen/ops/_mkldnn_reshape_ops.h 2024-08-20T21:38:17.9000598Z inflating: build/lib/torch/include/ATen/ops/_mkldnn_transpose.h 2024-08-20T21:38:17.9001537Z inflating: build/lib/torch/include/ATen/ops/_mkldnn_transpose_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9002217Z inflating: build/lib/torch/include/ATen/ops/_mkldnn_transpose_meta_dispatch.h 2024-08-20T21:38:17.9002841Z inflating: build/lib/torch/include/ATen/ops/_mkldnn_transpose_native.h 2024-08-20T21:38:17.9003400Z inflating: build/lib/torch/include/ATen/ops/_mkldnn_transpose_ops.h 2024-08-20T21:38:17.9003909Z inflating: build/lib/torch/include/ATen/ops/_mps_convolution.h 2024-08-20T21:38:17.9004951Z inflating: build/lib/torch/include/ATen/ops/_mps_convolution_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9005542Z inflating: build/lib/torch/include/ATen/ops/_mps_convolution_native.h 2024-08-20T21:38:17.9006104Z inflating: build/lib/torch/include/ATen/ops/_mps_convolution_ops.h 2024-08-20T21:38:17.9006729Z inflating: build/lib/torch/include/ATen/ops/_mps_convolution_transpose.h 2024-08-20T21:38:17.9007751Z inflating: build/lib/torch/include/ATen/ops/_mps_convolution_transpose_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9008464Z inflating: build/lib/torch/include/ATen/ops/_mps_convolution_transpose_native.h 2024-08-20T21:38:17.9009127Z inflating: build/lib/torch/include/ATen/ops/_mps_convolution_transpose_ops.h 2024-08-20T21:38:17.9009720Z inflating: build/lib/torch/include/ATen/ops/_native_batch_norm_legit.h 2024-08-20T21:38:17.9010872Z inflating: build/lib/torch/include/ATen/ops/_native_batch_norm_legit_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9011618Z inflating: build/lib/torch/include/ATen/ops/_native_batch_norm_legit_cpu_dispatch.h 2024-08-20T21:38:17.9012375Z inflating: build/lib/torch/include/ATen/ops/_native_batch_norm_legit_cuda_dispatch.h 2024-08-20T21:38:17.9013045Z inflating: build/lib/torch/include/ATen/ops/_native_batch_norm_legit_native.h 2024-08-20T21:38:17.9013770Z inflating: build/lib/torch/include/ATen/ops/_native_batch_norm_legit_no_training.h 2024-08-20T21:38:17.9014915Z inflating: build/lib/torch/include/ATen/ops/_native_batch_norm_legit_no_training_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9015701Z inflating: build/lib/torch/include/ATen/ops/_native_batch_norm_legit_no_training_native.h 2024-08-20T21:38:17.9016473Z inflating: build/lib/torch/include/ATen/ops/_native_batch_norm_legit_no_training_ops.h 2024-08-20T21:38:17.9017135Z inflating: build/lib/torch/include/ATen/ops/_native_batch_norm_legit_ops.h 2024-08-20T21:38:17.9017781Z inflating: build/lib/torch/include/ATen/ops/_native_multi_head_attention.h 2024-08-20T21:38:17.9018835Z inflating: build/lib/torch/include/ATen/ops/_native_multi_head_attention_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9019639Z inflating: build/lib/torch/include/ATen/ops/_native_multi_head_attention_cpu_dispatch.h 2024-08-20T21:38:17.9020489Z inflating: build/lib/torch/include/ATen/ops/_native_multi_head_attention_cuda_dispatch.h 2024-08-20T21:38:17.9021233Z inflating: build/lib/torch/include/ATen/ops/_native_multi_head_attention_native.h 2024-08-20T21:38:17.9021917Z inflating: build/lib/torch/include/ATen/ops/_native_multi_head_attention_ops.h 2024-08-20T21:38:17.9022335Z inflating: build/lib/torch/include/ATen/ops/_neg_view.h 2024-08-20T21:38:17.9023088Z inflating: build/lib/torch/include/ATen/ops/_neg_view_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9023567Z inflating: build/lib/torch/include/ATen/ops/_neg_view_copy.h 2024-08-20T21:38:17.9024491Z inflating: build/lib/torch/include/ATen/ops/_neg_view_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9025567Z inflating: build/lib/torch/include/ATen/ops/_neg_view_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9026258Z inflating: build/lib/torch/include/ATen/ops/_neg_view_copy_native.h 2024-08-20T21:38:17.9026805Z inflating: build/lib/torch/include/ATen/ops/_neg_view_copy_ops.h 2024-08-20T21:38:17.9027303Z inflating: build/lib/torch/include/ATen/ops/_neg_view_native.h 2024-08-20T21:38:17.9027756Z inflating: build/lib/torch/include/ATen/ops/_neg_view_ops.h 2024-08-20T21:38:17.9028568Z inflating: build/lib/torch/include/ATen/ops/_nested_compute_contiguous_strides_offsets.h 2024-08-20T21:38:17.9029513Z inflating: build/lib/torch/include/ATen/ops/_nested_compute_contiguous_strides_offsets_cpu_dispatch.h 2024-08-20T21:38:17.9030474Z inflating: build/lib/torch/include/ATen/ops/_nested_compute_contiguous_strides_offsets_cuda_dispatch.h 2024-08-20T21:38:17.9031556Z inflating: build/lib/torch/include/ATen/ops/_nested_compute_contiguous_strides_offsets_native.h 2024-08-20T21:38:17.9032400Z inflating: build/lib/torch/include/ATen/ops/_nested_compute_contiguous_strides_offsets_ops.h 2024-08-20T21:38:17.9032953Z inflating: build/lib/torch/include/ATen/ops/_nested_from_padded.h 2024-08-20T21:38:17.9033713Z inflating: build/lib/torch/include/ATen/ops/_nested_from_padded_and_nested_example.h 2024-08-20T21:38:17.9034857Z inflating: build/lib/torch/include/ATen/ops/_nested_from_padded_and_nested_example_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9035683Z inflating: build/lib/torch/include/ATen/ops/_nested_from_padded_and_nested_example_native.h 2024-08-20T21:38:17.9036486Z inflating: build/lib/torch/include/ATen/ops/_nested_from_padded_and_nested_example_ops.h 2024-08-20T21:38:17.9037580Z inflating: build/lib/torch/include/ATen/ops/_nested_from_padded_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9038270Z inflating: build/lib/torch/include/ATen/ops/_nested_from_padded_cpu_dispatch.h 2024-08-20T21:38:17.9038957Z inflating: build/lib/torch/include/ATen/ops/_nested_from_padded_cuda_dispatch.h 2024-08-20T21:38:17.9039594Z inflating: build/lib/torch/include/ATen/ops/_nested_from_padded_native.h 2024-08-20T21:38:17.9040177Z inflating: build/lib/torch/include/ATen/ops/_nested_from_padded_ops.h 2024-08-20T21:38:17.9040775Z inflating: build/lib/torch/include/ATen/ops/_nested_get_jagged_dummy.h 2024-08-20T21:38:17.9041465Z inflating: build/lib/torch/include/ATen/ops/_nested_get_jagged_dummy_native.h 2024-08-20T21:38:17.9042097Z inflating: build/lib/torch/include/ATen/ops/_nested_get_jagged_dummy_ops.h 2024-08-20T21:38:17.9042641Z inflating: build/lib/torch/include/ATen/ops/_nested_get_lengths.h 2024-08-20T21:38:17.9043257Z inflating: build/lib/torch/include/ATen/ops/_nested_get_lengths_native.h 2024-08-20T21:38:17.9043853Z inflating: build/lib/torch/include/ATen/ops/_nested_get_lengths_ops.h 2024-08-20T21:38:17.9044486Z inflating: build/lib/torch/include/ATen/ops/_nested_get_max_seqlen.h 2024-08-20T21:38:17.9045119Z inflating: build/lib/torch/include/ATen/ops/_nested_get_max_seqlen_native.h 2024-08-20T21:38:17.9045722Z inflating: build/lib/torch/include/ATen/ops/_nested_get_max_seqlen_ops.h 2024-08-20T21:38:17.9046307Z inflating: build/lib/torch/include/ATen/ops/_nested_get_min_seqlen.h 2024-08-20T21:38:17.9046954Z inflating: build/lib/torch/include/ATen/ops/_nested_get_min_seqlen_native.h 2024-08-20T21:38:17.9047575Z inflating: build/lib/torch/include/ATen/ops/_nested_get_min_seqlen_ops.h 2024-08-20T21:38:17.9048100Z inflating: build/lib/torch/include/ATen/ops/_nested_get_offsets.h 2024-08-20T21:38:17.9048723Z inflating: build/lib/torch/include/ATen/ops/_nested_get_offsets_native.h 2024-08-20T21:38:17.9049337Z inflating: build/lib/torch/include/ATen/ops/_nested_get_offsets_ops.h 2024-08-20T21:38:17.9049920Z inflating: build/lib/torch/include/ATen/ops/_nested_get_ragged_idx.h 2024-08-20T21:38:17.9050578Z inflating: build/lib/torch/include/ATen/ops/_nested_get_ragged_idx_native.h 2024-08-20T21:38:17.9051203Z inflating: build/lib/torch/include/ATen/ops/_nested_get_ragged_idx_ops.h 2024-08-20T21:38:17.9051723Z inflating: build/lib/torch/include/ATen/ops/_nested_get_values.h 2024-08-20T21:38:17.9052245Z inflating: build/lib/torch/include/ATen/ops/_nnpack_available.h 2024-08-20T21:38:17.9052851Z inflating: build/lib/torch/include/ATen/ops/_nested_get_values_copy.h 2024-08-20T21:38:17.9053840Z inflating: build/lib/torch/include/ATen/ops/_nested_get_values_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9055045Z inflating: build/lib/torch/include/ATen/ops/_nested_get_values_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9055672Z inflating: build/lib/torch/include/ATen/ops/_nested_get_values_copy_native.h 2024-08-20T21:38:17.9056398Z inflating: build/lib/torch/include/ATen/ops/_nested_get_values_copy_ops.h 2024-08-20T21:38:17.9057035Z inflating: build/lib/torch/include/ATen/ops/_nested_get_values_native.h 2024-08-20T21:38:17.9057603Z inflating: build/lib/torch/include/ATen/ops/_nested_get_values_ops.h 2024-08-20T21:38:17.9058180Z inflating: build/lib/torch/include/ATen/ops/_nested_select_backward.h 2024-08-20T21:38:17.9058828Z inflating: build/lib/torch/include/ATen/ops/_nested_select_backward_native.h 2024-08-20T21:38:17.9059378Z inflating: build/lib/torch/include/ATen/ops/_nested_select_backward_ops.h 2024-08-20T21:38:17.9059999Z inflating: build/lib/torch/include/ATen/ops/_nested_sum_backward.h 2024-08-20T21:38:17.9060612Z inflating: build/lib/torch/include/ATen/ops/_nested_sum_backward_native.h 2024-08-20T21:38:17.9061206Z inflating: build/lib/torch/include/ATen/ops/_nested_sum_backward_ops.h 2024-08-20T21:38:17.9061977Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_from_mask.h 2024-08-20T21:38:17.9062971Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_from_mask_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9063716Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_from_mask_cpu_dispatch.h 2024-08-20T21:38:17.9064518Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_from_mask_cuda_dispatch.h 2024-08-20T21:38:17.9065248Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned.h 2024-08-20T21:38:17.9066187Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_cpu_dispatch.h 2024-08-20T21:38:17.9067064Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_cuda_dispatch.h 2024-08-20T21:38:17.9067866Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_native.h 2024-08-20T21:38:17.9068659Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_ops.h 2024-08-20T21:38:17.9069360Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_from_mask_native.h 2024-08-20T21:38:17.9070002Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_from_mask_ops.h 2024-08-20T21:38:17.9070688Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_from_tensor_list.h 2024-08-20T21:38:17.9071762Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_from_tensor_list_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9072520Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_from_tensor_list_native.h 2024-08-20T21:38:17.9073237Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_from_tensor_list_ops.h 2024-08-20T21:38:17.9073753Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_size.h 2024-08-20T21:38:17.9074717Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_size_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9075362Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_size_native.h 2024-08-20T21:38:17.9075913Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_size_ops.h 2024-08-20T21:38:17.9076618Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_softmax_with_shape.h 2024-08-20T21:38:17.9077392Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_softmax_with_shape_native.h 2024-08-20T21:38:17.9078144Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_softmax_with_shape_ops.h 2024-08-20T21:38:17.9078803Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_storage_offsets.h 2024-08-20T21:38:17.9079877Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_storage_offsets_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9080625Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_storage_offsets_native.h 2024-08-20T21:38:17.9081338Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_storage_offsets_ops.h 2024-08-20T21:38:17.9081915Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_strides.h 2024-08-20T21:38:17.9083032Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_strides_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9083684Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_strides_native.h 2024-08-20T21:38:17.9084329Z inflating: build/lib/torch/include/ATen/ops/_nested_tensor_strides_ops.h 2024-08-20T21:38:17.9084918Z inflating: build/lib/torch/include/ATen/ops/_nested_view_from_buffer.h 2024-08-20T21:38:17.9085559Z inflating: build/lib/torch/include/ATen/ops/_nested_view_from_buffer_copy.h 2024-08-20T21:38:17.9086636Z inflating: build/lib/torch/include/ATen/ops/_nested_view_from_buffer_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9087879Z inflating: build/lib/torch/include/ATen/ops/_nested_view_from_buffer_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9088610Z inflating: build/lib/torch/include/ATen/ops/_nested_view_from_buffer_copy_native.h 2024-08-20T21:38:17.9089448Z inflating: build/lib/torch/include/ATen/ops/_nested_view_from_buffer_copy_ops.h 2024-08-20T21:38:17.9090186Z inflating: build/lib/torch/include/ATen/ops/_nested_view_from_buffer_cpu_dispatch.h 2024-08-20T21:38:17.9090967Z inflating: build/lib/torch/include/ATen/ops/_nested_view_from_buffer_cuda_dispatch.h 2024-08-20T21:38:17.9091648Z inflating: build/lib/torch/include/ATen/ops/_nested_view_from_buffer_native.h 2024-08-20T21:38:17.9092294Z inflating: build/lib/torch/include/ATen/ops/_nested_view_from_buffer_ops.h 2024-08-20T21:38:17.9092903Z inflating: build/lib/torch/include/ATen/ops/_nested_view_from_jagged.h 2024-08-20T21:38:17.9093539Z inflating: build/lib/torch/include/ATen/ops/_nested_view_from_jagged_copy.h 2024-08-20T21:38:17.9094604Z inflating: build/lib/torch/include/ATen/ops/_nested_view_from_jagged_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9095720Z inflating: build/lib/torch/include/ATen/ops/_nested_view_from_jagged_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9096482Z inflating: build/lib/torch/include/ATen/ops/_nested_view_from_jagged_copy_native.h 2024-08-20T21:38:17.9097206Z inflating: build/lib/torch/include/ATen/ops/_nested_view_from_jagged_copy_ops.h 2024-08-20T21:38:17.9097873Z inflating: build/lib/torch/include/ATen/ops/_nested_view_from_jagged_native.h 2024-08-20T21:38:17.9098500Z inflating: build/lib/torch/include/ATen/ops/_nested_view_from_jagged_ops.h 2024-08-20T21:38:17.9099211Z inflating: build/lib/torch/include/ATen/ops/_new_zeros_with_same_feature_meta.h 2024-08-20T21:38:17.9100369Z inflating: build/lib/torch/include/ATen/ops/_new_zeros_with_same_feature_meta_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9101140Z inflating: build/lib/torch/include/ATen/ops/_new_zeros_with_same_feature_meta_native.h 2024-08-20T21:38:17.9101894Z inflating: build/lib/torch/include/ATen/ops/_new_zeros_with_same_feature_meta_ops.h 2024-08-20T21:38:17.9102833Z inflating: build/lib/torch/include/ATen/ops/_nnpack_available_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9103453Z inflating: build/lib/torch/include/ATen/ops/_nnpack_available_native.h 2024-08-20T21:38:17.9104017Z inflating: build/lib/torch/include/ATen/ops/_nnpack_available_ops.h 2024-08-20T21:38:17.9104653Z inflating: build/lib/torch/include/ATen/ops/_nnpack_spatial_convolution.h 2024-08-20T21:38:17.9105703Z inflating: build/lib/torch/include/ATen/ops/_nnpack_spatial_convolution_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9106416Z inflating: build/lib/torch/include/ATen/ops/_nnpack_spatial_convolution_native.h 2024-08-20T21:38:17.9107102Z inflating: build/lib/torch/include/ATen/ops/_nnpack_spatial_convolution_ops.h 2024-08-20T21:38:17.9107480Z inflating: build/lib/torch/include/ATen/ops/_nnz.h 2024-08-20T21:38:17.9107912Z inflating: build/lib/torch/include/ATen/ops/_nnz_native.h 2024-08-20T21:38:17.9108332Z inflating: build/lib/torch/include/ATen/ops/_nnz_ops.h 2024-08-20T21:38:17.9109034Z inflating: build/lib/torch/include/ATen/ops/_pack_padded_sequence.h 2024-08-20T21:38:17.9109705Z inflating: build/lib/torch/include/ATen/ops/_pack_padded_sequence_backward.h 2024-08-20T21:38:17.9110791Z inflating: build/lib/torch/include/ATen/ops/_pack_padded_sequence_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9111533Z inflating: build/lib/torch/include/ATen/ops/_pack_padded_sequence_backward_native.h 2024-08-20T21:38:17.9112232Z inflating: build/lib/torch/include/ATen/ops/_pack_padded_sequence_backward_ops.h 2024-08-20T21:38:17.9113225Z inflating: build/lib/torch/include/ATen/ops/_pack_padded_sequence_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9113870Z inflating: build/lib/torch/include/ATen/ops/_pack_padded_sequence_native.h 2024-08-20T21:38:17.9114506Z inflating: build/lib/torch/include/ATen/ops/_pack_padded_sequence_ops.h 2024-08-20T21:38:17.9115057Z inflating: build/lib/torch/include/ATen/ops/_pad_circular.h 2024-08-20T21:38:17.9115942Z inflating: build/lib/torch/include/ATen/ops/_pad_circular_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9116514Z inflating: build/lib/torch/include/ATen/ops/_pad_circular_native.h 2024-08-20T21:38:17.9117035Z inflating: build/lib/torch/include/ATen/ops/_pad_circular_ops.h 2024-08-20T21:38:17.9117449Z inflating: build/lib/torch/include/ATen/ops/_pad_enum.h 2024-08-20T21:38:17.9118296Z inflating: build/lib/torch/include/ATen/ops/_pad_enum_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9118798Z inflating: build/lib/torch/include/ATen/ops/_pad_enum_native.h 2024-08-20T21:38:17.9119260Z inflating: build/lib/torch/include/ATen/ops/_pad_enum_ops.h 2024-08-20T21:38:17.9119822Z inflating: build/lib/torch/include/ATen/ops/_pad_packed_sequence.h 2024-08-20T21:38:17.9120772Z inflating: build/lib/torch/include/ATen/ops/_pad_packed_sequence_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9121421Z inflating: build/lib/torch/include/ATen/ops/_pad_packed_sequence_native.h 2024-08-20T21:38:17.9122027Z inflating: build/lib/torch/include/ATen/ops/_pad_packed_sequence_ops.h 2024-08-20T21:38:17.9122709Z inflating: build/lib/torch/include/ATen/ops/_padded_dense_to_jagged_forward.h 2024-08-20T21:38:17.9123559Z inflating: build/lib/torch/include/ATen/ops/_padded_dense_to_jagged_forward_cpu_dispatch.h 2024-08-20T21:38:17.9124363Z inflating: build/lib/torch/include/ATen/ops/_padded_dense_to_jagged_forward_cuda_dispatch.h 2024-08-20T21:38:17.9125108Z inflating: build/lib/torch/include/ATen/ops/_padded_dense_to_jagged_forward_native.h 2024-08-20T21:38:17.9125978Z inflating: build/lib/torch/include/ATen/ops/_padded_dense_to_jagged_forward_ops.h 2024-08-20T21:38:17.9126462Z inflating: build/lib/torch/include/ATen/ops/_pdist_backward.h 2024-08-20T21:38:17.9127388Z inflating: build/lib/torch/include/ATen/ops/_pdist_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9128049Z inflating: build/lib/torch/include/ATen/ops/_pdist_backward_cpu_dispatch.h 2024-08-20T21:38:17.9128696Z inflating: build/lib/torch/include/ATen/ops/_pdist_backward_cuda_dispatch.h 2024-08-20T21:38:17.9129285Z inflating: build/lib/torch/include/ATen/ops/_pdist_backward_native.h 2024-08-20T21:38:17.9129809Z inflating: build/lib/torch/include/ATen/ops/_pdist_backward_ops.h 2024-08-20T21:38:17.9130276Z inflating: build/lib/torch/include/ATen/ops/_pdist_forward.h 2024-08-20T21:38:17.9131204Z inflating: build/lib/torch/include/ATen/ops/_pdist_forward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9131825Z inflating: build/lib/torch/include/ATen/ops/_pdist_forward_cpu_dispatch.h 2024-08-20T21:38:17.9132498Z inflating: build/lib/torch/include/ATen/ops/_pdist_forward_cuda_dispatch.h 2024-08-20T21:38:17.9132873Z inflating: build/lib/torch/include/ATen/ops/_pdist_forward_native.h 2024-08-20T21:38:17.9133395Z inflating: build/lib/torch/include/ATen/ops/_pdist_forward_ops.h 2024-08-20T21:38:17.9134025Z inflating: build/lib/torch/include/ATen/ops/_pin_memory.h 2024-08-20T21:38:17.9134886Z inflating: build/lib/torch/include/ATen/ops/_pin_memory_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9135402Z inflating: build/lib/torch/include/ATen/ops/_pin_memory_native.h 2024-08-20T21:38:17.9135899Z inflating: build/lib/torch/include/ATen/ops/_pin_memory_ops.h 2024-08-20T21:38:17.9136360Z inflating: build/lib/torch/include/ATen/ops/_prelu_kernel.h 2024-08-20T21:38:17.9136935Z inflating: build/lib/torch/include/ATen/ops/_prelu_kernel_backward.h 2024-08-20T21:38:17.9137661Z inflating: build/lib/torch/include/ATen/ops/_prelu_kernel_backward_cpu_dispatch.h 2024-08-20T21:38:17.9138395Z inflating: build/lib/torch/include/ATen/ops/_prelu_kernel_backward_cuda_dispatch.h 2024-08-20T21:38:17.9139115Z inflating: build/lib/torch/include/ATen/ops/_prelu_kernel_backward_native.h 2024-08-20T21:38:17.9139962Z inflating: build/lib/torch/include/ATen/ops/_prelu_kernel_backward_ops.h 2024-08-20T21:38:17.9140590Z inflating: build/lib/torch/include/ATen/ops/_prelu_kernel_cpu_dispatch.h 2024-08-20T21:38:17.9141234Z inflating: build/lib/torch/include/ATen/ops/_prelu_kernel_cuda_dispatch.h 2024-08-20T21:38:17.9141771Z inflating: build/lib/torch/include/ATen/ops/_prelu_kernel_native.h 2024-08-20T21:38:17.9142278Z inflating: build/lib/torch/include/ATen/ops/_prelu_kernel_ops.h 2024-08-20T21:38:17.9142685Z inflating: build/lib/torch/include/ATen/ops/_print.h 2024-08-20T21:38:17.9143489Z inflating: build/lib/torch/include/ATen/ops/_print_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9143965Z inflating: build/lib/torch/include/ATen/ops/_print_native.h 2024-08-20T21:38:17.9144398Z inflating: build/lib/torch/include/ATen/ops/_print_ops.h 2024-08-20T21:38:17.9144926Z inflating: build/lib/torch/include/ATen/ops/_propagate_xla_data.h 2024-08-20T21:38:17.9145907Z inflating: build/lib/torch/include/ATen/ops/_propagate_xla_data_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9146473Z inflating: build/lib/torch/include/ATen/ops/_propagate_xla_data_native.h 2024-08-20T21:38:17.9147033Z inflating: build/lib/torch/include/ATen/ops/_propagate_xla_data_ops.h 2024-08-20T21:38:17.9147569Z inflating: build/lib/torch/include/ATen/ops/_remove_batch_dim.h 2024-08-20T21:38:17.9148480Z inflating: build/lib/torch/include/ATen/ops/_remove_batch_dim_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9149071Z inflating: build/lib/torch/include/ATen/ops/_remove_batch_dim_native.h 2024-08-20T21:38:17.9149641Z inflating: build/lib/torch/include/ATen/ops/_remove_batch_dim_ops.h 2024-08-20T21:38:17.9150114Z inflating: build/lib/torch/include/ATen/ops/_reshape_alias.h 2024-08-20T21:38:17.9150663Z inflating: build/lib/torch/include/ATen/ops/_reshape_alias_copy.h 2024-08-20T21:38:17.9151624Z inflating: build/lib/torch/include/ATen/ops/_reshape_alias_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9152771Z inflating: build/lib/torch/include/ATen/ops/_reshape_alias_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9153405Z inflating: build/lib/torch/include/ATen/ops/_reshape_alias_copy_native.h 2024-08-20T21:38:17.9153981Z inflating: build/lib/torch/include/ATen/ops/_reshape_alias_copy_ops.h 2024-08-20T21:38:17.9154645Z inflating: build/lib/torch/include/ATen/ops/_reshape_alias_cpu_dispatch.h 2024-08-20T21:38:17.9155312Z inflating: build/lib/torch/include/ATen/ops/_reshape_alias_cuda_dispatch.h 2024-08-20T21:38:17.9155956Z inflating: build/lib/torch/include/ATen/ops/_reshape_alias_meta_dispatch.h 2024-08-20T21:38:17.9156532Z inflating: build/lib/torch/include/ATen/ops/_reshape_alias_native.h 2024-08-20T21:38:17.9157045Z inflating: build/lib/torch/include/ATen/ops/_reshape_alias_ops.h 2024-08-20T21:38:17.9157515Z inflating: build/lib/torch/include/ATen/ops/_reshape_copy.h 2024-08-20T21:38:17.9158421Z inflating: build/lib/torch/include/ATen/ops/_reshape_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9159104Z inflating: build/lib/torch/include/ATen/ops/_reshape_copy_native.h 2024-08-20T21:38:17.9159620Z inflating: build/lib/torch/include/ATen/ops/_reshape_copy_ops.h 2024-08-20T21:38:17.9160171Z inflating: build/lib/torch/include/ATen/ops/_reshape_from_tensor.h 2024-08-20T21:38:17.9161121Z inflating: build/lib/torch/include/ATen/ops/_reshape_from_tensor_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9161776Z inflating: build/lib/torch/include/ATen/ops/_reshape_from_tensor_native.h 2024-08-20T21:38:17.9162366Z inflating: build/lib/torch/include/ATen/ops/_reshape_from_tensor_ops.h 2024-08-20T21:38:17.9162842Z inflating: build/lib/torch/include/ATen/ops/_resize_output.h 2024-08-20T21:38:17.9163742Z inflating: build/lib/torch/include/ATen/ops/_resize_output_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9164483Z inflating: build/lib/torch/include/ATen/ops/_resize_output_meta_dispatch.h 2024-08-20T21:38:17.9165046Z inflating: build/lib/torch/include/ATen/ops/_resize_output_native.h 2024-08-20T21:38:17.9165584Z inflating: build/lib/torch/include/ATen/ops/_resize_output_ops.h 2024-08-20T21:38:17.9166052Z inflating: build/lib/torch/include/ATen/ops/_rowwise_prune.h 2024-08-20T21:38:17.9166938Z inflating: build/lib/torch/include/ATen/ops/_rowwise_prune_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9167515Z inflating: build/lib/torch/include/ATen/ops/_rowwise_prune_native.h 2024-08-20T21:38:17.9168028Z inflating: build/lib/torch/include/ATen/ops/_rowwise_prune_ops.h 2024-08-20T21:38:17.9168524Z inflating: build/lib/torch/include/ATen/ops/_safe_softmax.h 2024-08-20T21:38:17.9169404Z inflating: build/lib/torch/include/ATen/ops/_safe_softmax_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9169926Z inflating: build/lib/torch/include/ATen/ops/_safe_softmax_native.h 2024-08-20T21:38:17.9170315Z inflating: build/lib/torch/include/ATen/ops/_safe_softmax_ops.h 2024-08-20T21:38:17.9170834Z inflating: build/lib/torch/include/ATen/ops/_sample_dirichlet.h 2024-08-20T21:38:17.9171762Z inflating: build/lib/torch/include/ATen/ops/_sample_dirichlet_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9172436Z inflating: build/lib/torch/include/ATen/ops/_sample_dirichlet_cpu_dispatch.h 2024-08-20T21:38:17.9173115Z inflating: build/lib/torch/include/ATen/ops/_sample_dirichlet_cuda_dispatch.h 2024-08-20T21:38:17.9173738Z inflating: build/lib/torch/include/ATen/ops/_sample_dirichlet_native.h 2024-08-20T21:38:17.9174295Z inflating: build/lib/torch/include/ATen/ops/_sample_dirichlet_ops.h 2024-08-20T21:38:17.9174889Z inflating: build/lib/torch/include/ATen/ops/_saturate_weight_to_fp16.h 2024-08-20T21:38:17.9175899Z inflating: build/lib/torch/include/ATen/ops/_saturate_weight_to_fp16_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9176595Z inflating: build/lib/torch/include/ATen/ops/_saturate_weight_to_fp16_native.h 2024-08-20T21:38:17.9177240Z inflating: build/lib/torch/include/ATen/ops/_saturate_weight_to_fp16_ops.h 2024-08-20T21:38:17.9177951Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_attention_math.h 2024-08-20T21:38:17.9179060Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_attention_math_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9179935Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_attention_math_for_mps.h 2024-08-20T21:38:17.9180804Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_attention_math_for_mps_native.h 2024-08-20T21:38:17.9181623Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_attention_math_for_mps_ops.h 2024-08-20T21:38:17.9182425Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_attention_math_native.h 2024-08-20T21:38:17.9183171Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_attention_math_ops.h 2024-08-20T21:38:17.9184051Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_cudnn_attention.h 2024-08-20T21:38:17.9184875Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_cudnn_attention_backward.h 2024-08-20T21:38:17.9185842Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_cudnn_attention_backward_cuda_dispatch.h 2024-08-20T21:38:17.9186736Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_cudnn_attention_backward_native.h 2024-08-20T21:38:17.9187640Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_cudnn_attention_backward_ops.h 2024-08-20T21:38:17.9188492Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_cudnn_attention_cuda_dispatch.h 2024-08-20T21:38:17.9189300Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_cudnn_attention_native.h 2024-08-20T21:38:17.9190048Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_cudnn_attention_ops.h 2024-08-20T21:38:17.9190899Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_efficient_attention.h 2024-08-20T21:38:17.9191790Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward.h 2024-08-20T21:38:17.9192794Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward_cuda_dispatch.h 2024-08-20T21:38:17.9193751Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward_native.h 2024-08-20T21:38:17.9194661Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward_ops.h 2024-08-20T21:38:17.9195566Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_cuda_dispatch.h 2024-08-20T21:38:17.9196418Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_native.h 2024-08-20T21:38:17.9197215Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_ops.h 2024-08-20T21:38:17.9197898Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_flash_attention.h 2024-08-20T21:38:17.9198742Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward.h 2024-08-20T21:38:17.9199710Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_cuda_dispatch.h 2024-08-20T21:38:17.9200623Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_native.h 2024-08-20T21:38:17.9201461Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_ops.h 2024-08-20T21:38:17.9202348Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_flash_attention_cuda_dispatch.h 2024-08-20T21:38:17.9203147Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_flash_attention_for_cpu.h 2024-08-20T21:38:17.9204039Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_flash_attention_for_cpu_backward.h 2024-08-20T21:38:17.9205122Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_flash_attention_for_cpu_backward_cpu_dispatch.h 2024-08-20T21:38:17.9206094Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_flash_attention_for_cpu_backward_native.h 2024-08-20T21:38:17.9207033Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_flash_attention_for_cpu_backward_ops.h 2024-08-20T21:38:17.9207798Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_flash_attention_for_cpu_cpu_dispatch.h 2024-08-20T21:38:17.9208692Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_flash_attention_for_cpu_native.h 2024-08-20T21:38:17.9209527Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_flash_attention_for_cpu_ops.h 2024-08-20T21:38:17.9210336Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_flash_attention_native.h 2024-08-20T21:38:17.9211104Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_flash_attention_ops.h 2024-08-20T21:38:17.9212070Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_fused_attention_overrideable.h 2024-08-20T21:38:17.9213026Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_fused_attention_overrideable_backward.h 2024-08-20T21:38:17.9214384Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_fused_attention_overrideable_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9215442Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_fused_attention_overrideable_backward_native.h 2024-08-20T21:38:17.9216439Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_fused_attention_overrideable_backward_ops.h 2024-08-20T21:38:17.9217719Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_fused_attention_overrideable_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9218644Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_fused_attention_overrideable_native.h 2024-08-20T21:38:17.9219633Z inflating: build/lib/torch/include/ATen/ops/_scaled_dot_product_fused_attention_overrideable_ops.h 2024-08-20T21:38:17.9220145Z inflating: build/lib/torch/include/ATen/ops/_scaled_mm.h 2024-08-20T21:38:17.9220732Z inflating: build/lib/torch/include/ATen/ops/_scaled_mm_cuda_dispatch.h 2024-08-20T21:38:17.9221245Z inflating: build/lib/torch/include/ATen/ops/_scaled_mm_native.h 2024-08-20T21:38:17.9221742Z inflating: build/lib/torch/include/ATen/ops/_scaled_mm_ops.h 2024-08-20T21:38:17.9222342Z inflating: build/lib/torch/include/ATen/ops/_segment_reduce_backward.h 2024-08-20T21:38:17.9223364Z inflating: build/lib/torch/include/ATen/ops/_segment_reduce_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9224094Z inflating: build/lib/torch/include/ATen/ops/_segment_reduce_backward_cpu_dispatch.h 2024-08-20T21:38:17.9224887Z inflating: build/lib/torch/include/ATen/ops/_segment_reduce_backward_cuda_dispatch.h 2024-08-20T21:38:17.9225585Z inflating: build/lib/torch/include/ATen/ops/_segment_reduce_backward_native.h 2024-08-20T21:38:17.9226382Z inflating: build/lib/torch/include/ATen/ops/_segment_reduce_backward_ops.h 2024-08-20T21:38:17.9226768Z inflating: build/lib/torch/include/ATen/ops/_shape_as_tensor.h 2024-08-20T21:38:17.9227268Z inflating: build/lib/torch/include/ATen/ops/_shape_as_tensor_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9227608Z inflating: build/lib/torch/include/ATen/ops/_shape_as_tensor_native.h 2024-08-20T21:38:17.9228150Z inflating: build/lib/torch/include/ATen/ops/_shape_as_tensor_ops.h 2024-08-20T21:38:17.9228692Z inflating: build/lib/torch/include/ATen/ops/_slow_conv2d_backward.h 2024-08-20T21:38:17.9230625Z inflating: build/lib/torch/include/ATen/ops/_slow_conv2d_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9231353Z inflating: build/lib/torch/include/ATen/ops/_slow_conv2d_backward_cpu_dispatch.h 2024-08-20T21:38:17.9232060Z inflating: build/lib/torch/include/ATen/ops/_slow_conv2d_backward_cuda_dispatch.h 2024-08-20T21:38:17.9232705Z inflating: build/lib/torch/include/ATen/ops/_slow_conv2d_backward_native.h 2024-08-20T21:38:17.9233321Z inflating: build/lib/torch/include/ATen/ops/_slow_conv2d_backward_ops.h 2024-08-20T21:38:17.9233870Z inflating: build/lib/torch/include/ATen/ops/_slow_conv2d_forward.h 2024-08-20T21:38:17.9234578Z inflating: build/lib/torch/include/ATen/ops/_slow_conv2d_forward_cpu_dispatch.h 2024-08-20T21:38:17.9235282Z inflating: build/lib/torch/include/ATen/ops/_slow_conv2d_forward_cuda_dispatch.h 2024-08-20T21:38:17.9235899Z inflating: build/lib/torch/include/ATen/ops/_slow_conv2d_forward_native.h 2024-08-20T21:38:17.9236507Z inflating: build/lib/torch/include/ATen/ops/_slow_conv2d_forward_ops.h 2024-08-20T21:38:17.9237014Z inflating: build/lib/torch/include/ATen/ops/_sobol_engine_draw.h 2024-08-20T21:38:17.9237958Z inflating: build/lib/torch/include/ATen/ops/_sobol_engine_draw_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9238754Z inflating: build/lib/torch/include/ATen/ops/_sobol_engine_draw_native.h 2024-08-20T21:38:17.9239328Z inflating: build/lib/torch/include/ATen/ops/_sobol_engine_draw_ops.h 2024-08-20T21:38:17.9239842Z inflating: build/lib/torch/include/ATen/ops/_sobol_engine_ff.h 2024-08-20T21:38:17.9240758Z inflating: build/lib/torch/include/ATen/ops/_sobol_engine_ff_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9241330Z inflating: build/lib/torch/include/ATen/ops/_sobol_engine_ff_native.h 2024-08-20T21:38:17.9241879Z inflating: build/lib/torch/include/ATen/ops/_sobol_engine_ff_ops.h 2024-08-20T21:38:17.9242545Z inflating: build/lib/torch/include/ATen/ops/_sobol_engine_initialize_state.h 2024-08-20T21:38:17.9243607Z inflating: build/lib/torch/include/ATen/ops/_sobol_engine_initialize_state_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9244354Z inflating: build/lib/torch/include/ATen/ops/_sobol_engine_initialize_state_native.h 2024-08-20T21:38:17.9245200Z inflating: build/lib/torch/include/ATen/ops/_sobol_engine_initialize_state_ops.h 2024-08-20T21:38:17.9245644Z inflating: build/lib/torch/include/ATen/ops/_sobol_engine_scramble.h 2024-08-20T21:38:17.9246602Z inflating: build/lib/torch/include/ATen/ops/_sobol_engine_scramble_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9247252Z inflating: build/lib/torch/include/ATen/ops/_sobol_engine_scramble_native.h 2024-08-20T21:38:17.9247886Z inflating: build/lib/torch/include/ATen/ops/_sobol_engine_scramble_ops.h 2024-08-20T21:38:17.9248277Z inflating: build/lib/torch/include/ATen/ops/_softmax.h 2024-08-20T21:38:17.9248837Z inflating: build/lib/torch/include/ATen/ops/_softmax_backward_data.h 2024-08-20T21:38:17.9250012Z inflating: build/lib/torch/include/ATen/ops/_softmax_backward_data_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9250727Z inflating: build/lib/torch/include/ATen/ops/_softmax_backward_data_cpu_dispatch.h 2024-08-20T21:38:17.9251454Z inflating: build/lib/torch/include/ATen/ops/_softmax_backward_data_cuda_dispatch.h 2024-08-20T21:38:17.9252097Z inflating: build/lib/torch/include/ATen/ops/_softmax_backward_data_meta.h 2024-08-20T21:38:17.9252814Z inflating: build/lib/torch/include/ATen/ops/_softmax_backward_data_meta_dispatch.h 2024-08-20T21:38:17.9253473Z inflating: build/lib/torch/include/ATen/ops/_softmax_backward_data_native.h 2024-08-20T21:38:17.9254083Z inflating: build/lib/torch/include/ATen/ops/_softmax_backward_data_ops.h 2024-08-20T21:38:17.9255088Z inflating: build/lib/torch/include/ATen/ops/_softmax_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9255660Z inflating: build/lib/torch/include/ATen/ops/_softmax_cpu_dispatch.h 2024-08-20T21:38:17.9256233Z inflating: build/lib/torch/include/ATen/ops/_softmax_cuda_dispatch.h 2024-08-20T21:38:17.9256711Z inflating: build/lib/torch/include/ATen/ops/_softmax_meta.h 2024-08-20T21:38:17.9257296Z inflating: build/lib/torch/include/ATen/ops/_softmax_meta_dispatch.h 2024-08-20T21:38:17.9257779Z inflating: build/lib/torch/include/ATen/ops/_softmax_native.h 2024-08-20T21:38:17.9258231Z inflating: build/lib/torch/include/ATen/ops/_softmax_ops.h 2024-08-20T21:38:17.9258690Z inflating: build/lib/torch/include/ATen/ops/_sparse_addmm.h 2024-08-20T21:38:17.9259579Z inflating: build/lib/torch/include/ATen/ops/_sparse_addmm_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9260205Z inflating: build/lib/torch/include/ATen/ops/_sparse_addmm_native.h 2024-08-20T21:38:17.9260707Z inflating: build/lib/torch/include/ATen/ops/_sparse_addmm_ops.h 2024-08-20T21:38:17.9261246Z inflating: build/lib/torch/include/ATen/ops/_sparse_broadcast_to.h 2024-08-20T21:38:17.9261867Z inflating: build/lib/torch/include/ATen/ops/_sparse_broadcast_to_copy.h 2024-08-20T21:38:17.9262881Z inflating: build/lib/torch/include/ATen/ops/_sparse_broadcast_to_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9264194Z inflating: build/lib/torch/include/ATen/ops/_sparse_broadcast_to_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9264890Z inflating: build/lib/torch/include/ATen/ops/_sparse_broadcast_to_copy_native.h 2024-08-20T21:38:17.9265534Z inflating: build/lib/torch/include/ATen/ops/_sparse_broadcast_to_copy_ops.h 2024-08-20T21:38:17.9266174Z inflating: build/lib/torch/include/ATen/ops/_sparse_broadcast_to_native.h 2024-08-20T21:38:17.9266767Z inflating: build/lib/torch/include/ATen/ops/_sparse_broadcast_to_ops.h 2024-08-20T21:38:17.9267369Z inflating: build/lib/torch/include/ATen/ops/_sparse_bsc_tensor_unsafe.h 2024-08-20T21:38:17.9268382Z inflating: build/lib/torch/include/ATen/ops/_sparse_bsc_tensor_unsafe_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9269063Z inflating: build/lib/torch/include/ATen/ops/_sparse_bsc_tensor_unsafe_native.h 2024-08-20T21:38:17.9269827Z inflating: build/lib/torch/include/ATen/ops/_sparse_bsc_tensor_unsafe_ops.h 2024-08-20T21:38:17.9270433Z inflating: build/lib/torch/include/ATen/ops/_sparse_bsr_tensor_unsafe.h 2024-08-20T21:38:17.9271426Z inflating: build/lib/torch/include/ATen/ops/_sparse_bsr_tensor_unsafe_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9272126Z inflating: build/lib/torch/include/ATen/ops/_sparse_bsr_tensor_unsafe_native.h 2024-08-20T21:38:17.9272771Z inflating: build/lib/torch/include/ATen/ops/_sparse_bsr_tensor_unsafe_ops.h 2024-08-20T21:38:17.9273440Z inflating: build/lib/torch/include/ATen/ops/_sparse_compressed_tensor_unsafe.h 2024-08-20T21:38:17.9274575Z inflating: build/lib/torch/include/ATen/ops/_sparse_compressed_tensor_unsafe_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9275311Z inflating: build/lib/torch/include/ATen/ops/_sparse_compressed_tensor_unsafe_native.h 2024-08-20T21:38:17.9276047Z inflating: build/lib/torch/include/ATen/ops/_sparse_compressed_tensor_unsafe_ops.h 2024-08-20T21:38:17.9276773Z inflating: build/lib/torch/include/ATen/ops/_sparse_compressed_tensor_with_dims.h 2024-08-20T21:38:17.9277897Z inflating: build/lib/torch/include/ATen/ops/_sparse_compressed_tensor_with_dims_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9278711Z inflating: build/lib/torch/include/ATen/ops/_sparse_compressed_tensor_with_dims_native.h 2024-08-20T21:38:17.9279326Z inflating: build/lib/torch/include/ATen/ops/_sparse_coo_tensor_unsafe.h 2024-08-20T21:38:17.9280065Z inflating: build/lib/torch/include/ATen/ops/_sparse_compressed_tensor_with_dims_ops.h 2024-08-20T21:38:17.9281101Z inflating: build/lib/torch/include/ATen/ops/_sparse_coo_tensor_unsafe_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9281776Z inflating: build/lib/torch/include/ATen/ops/_sparse_coo_tensor_unsafe_native.h 2024-08-20T21:38:17.9282431Z inflating: build/lib/torch/include/ATen/ops/_sparse_coo_tensor_unsafe_ops.h 2024-08-20T21:38:17.9283078Z inflating: build/lib/torch/include/ATen/ops/_sparse_coo_tensor_with_dims.h 2024-08-20T21:38:17.9283746Z inflating: build/lib/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors.h 2024-08-20T21:38:17.9284861Z inflating: build/lib/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9285771Z inflating: build/lib/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_meta_dispatch.h 2024-08-20T21:38:17.9286621Z inflating: build/lib/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_native.h 2024-08-20T21:38:17.9287429Z inflating: build/lib/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_ops.h 2024-08-20T21:38:17.9288481Z inflating: build/lib/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9289269Z inflating: build/lib/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_meta_dispatch.h 2024-08-20T21:38:17.9289995Z inflating: build/lib/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_native.h 2024-08-20T21:38:17.9290736Z inflating: build/lib/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_ops.h 2024-08-20T21:38:17.9291376Z inflating: build/lib/torch/include/ATen/ops/_sparse_csc_tensor_unsafe.h 2024-08-20T21:38:17.9292377Z inflating: build/lib/torch/include/ATen/ops/_sparse_csc_tensor_unsafe_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9293059Z inflating: build/lib/torch/include/ATen/ops/_sparse_csc_tensor_unsafe_native.h 2024-08-20T21:38:17.9293718Z inflating: build/lib/torch/include/ATen/ops/_sparse_csc_tensor_unsafe_ops.h 2024-08-20T21:38:17.9294210Z inflating: build/lib/torch/include/ATen/ops/_sparse_csr_prod.h 2024-08-20T21:38:17.9295139Z inflating: build/lib/torch/include/ATen/ops/_sparse_csr_prod_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9295722Z inflating: build/lib/torch/include/ATen/ops/_sparse_csr_prod_native.h 2024-08-20T21:38:17.9296353Z inflating: build/lib/torch/include/ATen/ops/_sparse_csr_prod_ops.h 2024-08-20T21:38:17.9296862Z inflating: build/lib/torch/include/ATen/ops/_sparse_csr_sum.h 2024-08-20T21:38:17.9297763Z inflating: build/lib/torch/include/ATen/ops/_sparse_csr_sum_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9298330Z inflating: build/lib/torch/include/ATen/ops/_sparse_csr_sum_native.h 2024-08-20T21:38:17.9298870Z inflating: build/lib/torch/include/ATen/ops/_sparse_csr_sum_ops.h 2024-08-20T21:38:17.9299482Z inflating: build/lib/torch/include/ATen/ops/_sparse_csr_tensor_unsafe.h 2024-08-20T21:38:17.9300569Z inflating: build/lib/torch/include/ATen/ops/_sparse_csr_tensor_unsafe_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9301254Z inflating: build/lib/torch/include/ATen/ops/_sparse_csr_tensor_unsafe_native.h 2024-08-20T21:38:17.9301893Z inflating: build/lib/torch/include/ATen/ops/_sparse_csr_tensor_unsafe_ops.h 2024-08-20T21:38:17.9302429Z inflating: build/lib/torch/include/ATen/ops/_sparse_log_softmax.h 2024-08-20T21:38:17.9303141Z inflating: build/lib/torch/include/ATen/ops/_sparse_log_softmax_backward_data.h 2024-08-20T21:38:17.9304245Z inflating: build/lib/torch/include/ATen/ops/_sparse_log_softmax_backward_data_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9305027Z inflating: build/lib/torch/include/ATen/ops/_sparse_log_softmax_backward_data_native.h 2024-08-20T21:38:17.9305753Z inflating: build/lib/torch/include/ATen/ops/_sparse_log_softmax_backward_data_ops.h 2024-08-20T21:38:17.9306715Z inflating: build/lib/torch/include/ATen/ops/_sparse_log_softmax_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9307659Z inflating: build/lib/torch/include/ATen/ops/_sparse_log_softmax_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9308278Z inflating: build/lib/torch/include/ATen/ops/_sparse_log_softmax_native.h 2024-08-20T21:38:17.9308877Z inflating: build/lib/torch/include/ATen/ops/_sparse_log_softmax_ops.h 2024-08-20T21:38:17.9309466Z inflating: build/lib/torch/include/ATen/ops/_sparse_mask_projection.h 2024-08-20T21:38:17.9310463Z inflating: build/lib/torch/include/ATen/ops/_sparse_mask_projection_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9311145Z inflating: build/lib/torch/include/ATen/ops/_sparse_mask_projection_native.h 2024-08-20T21:38:17.9311814Z inflating: build/lib/torch/include/ATen/ops/_sparse_mask_projection_ops.h 2024-08-20T21:38:17.9312256Z inflating: build/lib/torch/include/ATen/ops/_sparse_mm.h 2024-08-20T21:38:17.9313115Z inflating: build/lib/torch/include/ATen/ops/_sparse_mm_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9313612Z inflating: build/lib/torch/include/ATen/ops/_sparse_mm_native.h 2024-08-20T21:38:17.9314101Z inflating: build/lib/torch/include/ATen/ops/_sparse_mm_ops.h 2024-08-20T21:38:17.9314665Z inflating: build/lib/torch/include/ATen/ops/_sparse_mm_reduce_impl.h 2024-08-20T21:38:17.9315336Z inflating: build/lib/torch/include/ATen/ops/_sparse_mm_reduce_impl_backward.h 2024-08-20T21:38:17.9316200Z inflating: build/lib/torch/include/ATen/ops/_sparse_mm_reduce_impl_backward_native.h 2024-08-20T21:38:17.9316925Z inflating: build/lib/torch/include/ATen/ops/_sparse_mm_reduce_impl_backward_ops.h 2024-08-20T21:38:17.9317572Z inflating: build/lib/torch/include/ATen/ops/_sparse_mm_reduce_impl_native.h 2024-08-20T21:38:17.9318206Z inflating: build/lib/torch/include/ATen/ops/_sparse_mm_reduce_impl_ops.h 2024-08-20T21:38:17.9318828Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_addmm.h 2024-08-20T21:38:17.9319650Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_addmm_cuda_dispatch.h 2024-08-20T21:38:17.9320359Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_addmm_native.h 2024-08-20T21:38:17.9321053Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_addmm_ops.h 2024-08-20T21:38:17.9321654Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_apply.h 2024-08-20T21:38:17.9322503Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_apply_cuda_dispatch.h 2024-08-20T21:38:17.9323219Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_apply_dense.h 2024-08-20T21:38:17.9324098Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_apply_dense_cuda_dispatch.h 2024-08-20T21:38:17.9324896Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_apply_dense_native.h 2024-08-20T21:38:17.9325813Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_apply_dense_ops.h 2024-08-20T21:38:17.9326532Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_apply_native.h 2024-08-20T21:38:17.9327233Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_apply_ops.h 2024-08-20T21:38:17.9327915Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_linear.h 2024-08-20T21:38:17.9328739Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_linear_cuda_dispatch.h 2024-08-20T21:38:17.9329447Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_linear_native.h 2024-08-20T21:38:17.9330156Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_linear_ops.h 2024-08-20T21:38:17.9330775Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_mm.h 2024-08-20T21:38:17.9331569Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_mm_cuda_dispatch.h 2024-08-20T21:38:17.9332259Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_mm_native.h 2024-08-20T21:38:17.9332912Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_mm_ops.h 2024-08-20T21:38:17.9333556Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_tile.h 2024-08-20T21:38:17.9334325Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_tile_cuda_dispatch.h 2024-08-20T21:38:17.9335035Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_tile_native.h 2024-08-20T21:38:17.9335751Z inflating: build/lib/torch/include/ATen/ops/_sparse_semi_structured_tile_ops.h 2024-08-20T21:38:17.9336226Z inflating: build/lib/torch/include/ATen/ops/_sparse_softmax.h 2024-08-20T21:38:17.9336887Z inflating: build/lib/torch/include/ATen/ops/_sparse_softmax_backward_data.h 2024-08-20T21:38:17.9337946Z inflating: build/lib/torch/include/ATen/ops/_sparse_softmax_backward_data_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9338670Z inflating: build/lib/torch/include/ATen/ops/_sparse_softmax_backward_data_native.h 2024-08-20T21:38:17.9339390Z inflating: build/lib/torch/include/ATen/ops/_sparse_softmax_backward_data_ops.h 2024-08-20T21:38:17.9340329Z inflating: build/lib/torch/include/ATen/ops/_sparse_softmax_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9341238Z inflating: build/lib/torch/include/ATen/ops/_sparse_softmax_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9341832Z inflating: build/lib/torch/include/ATen/ops/_sparse_softmax_native.h 2024-08-20T21:38:17.9342546Z inflating: build/lib/torch/include/ATen/ops/_sparse_softmax_ops.h 2024-08-20T21:38:17.9343121Z inflating: build/lib/torch/include/ATen/ops/_sparse_sparse_matmul.h 2024-08-20T21:38:17.9344088Z inflating: build/lib/torch/include/ATen/ops/_sparse_sparse_matmul_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9344730Z inflating: build/lib/torch/include/ATen/ops/_sparse_sparse_matmul_native.h 2024-08-20T21:38:17.9345352Z inflating: build/lib/torch/include/ATen/ops/_sparse_sparse_matmul_ops.h 2024-08-20T21:38:17.9345803Z inflating: build/lib/torch/include/ATen/ops/_sparse_sum.h 2024-08-20T21:38:17.9346343Z inflating: build/lib/torch/include/ATen/ops/_sparse_sum_backward.h 2024-08-20T21:38:17.9347308Z inflating: build/lib/torch/include/ATen/ops/_sparse_sum_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9348124Z inflating: build/lib/torch/include/ATen/ops/_sparse_sum_backward_native.h 2024-08-20T21:38:17.9348747Z inflating: build/lib/torch/include/ATen/ops/_sparse_sum_backward_ops.h 2024-08-20T21:38:17.9349598Z inflating: build/lib/torch/include/ATen/ops/_sparse_sum_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9350460Z inflating: build/lib/torch/include/ATen/ops/_sparse_sum_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9350997Z inflating: build/lib/torch/include/ATen/ops/_sparse_sum_native.h 2024-08-20T21:38:17.9351474Z inflating: build/lib/torch/include/ATen/ops/_sparse_sum_ops.h 2024-08-20T21:38:17.9351888Z inflating: build/lib/torch/include/ATen/ops/_spdiags.h 2024-08-20T21:38:17.9352717Z inflating: build/lib/torch/include/ATen/ops/_spdiags_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9353270Z inflating: build/lib/torch/include/ATen/ops/_spdiags_cpu_dispatch.h 2024-08-20T21:38:17.9353772Z inflating: build/lib/torch/include/ATen/ops/_spdiags_native.h 2024-08-20T21:38:17.9354262Z inflating: build/lib/torch/include/ATen/ops/_spdiags_ops.h 2024-08-20T21:38:17.9354644Z inflating: build/lib/torch/include/ATen/ops/_stack.h 2024-08-20T21:38:17.9355461Z inflating: build/lib/torch/include/ATen/ops/_stack_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9355986Z inflating: build/lib/torch/include/ATen/ops/_stack_cpu_dispatch.h 2024-08-20T21:38:17.9356443Z inflating: build/lib/torch/include/ATen/ops/_stack_native.h 2024-08-20T21:38:17.9356869Z inflating: build/lib/torch/include/ATen/ops/_stack_ops.h 2024-08-20T21:38:17.9357341Z inflating: build/lib/torch/include/ATen/ops/_standard_gamma.h 2024-08-20T21:38:17.9358254Z inflating: build/lib/torch/include/ATen/ops/_standard_gamma_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9358911Z inflating: build/lib/torch/include/ATen/ops/_standard_gamma_cpu_dispatch.h 2024-08-20T21:38:17.9359556Z inflating: build/lib/torch/include/ATen/ops/_standard_gamma_cuda_dispatch.h 2024-08-20T21:38:17.9360005Z inflating: build/lib/torch/include/ATen/ops/_standard_gamma_grad.h 2024-08-20T21:38:17.9360971Z inflating: build/lib/torch/include/ATen/ops/_standard_gamma_grad_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9361654Z inflating: build/lib/torch/include/ATen/ops/_standard_gamma_grad_cpu_dispatch.h 2024-08-20T21:38:17.9362383Z inflating: build/lib/torch/include/ATen/ops/_standard_gamma_grad_cuda_dispatch.h 2024-08-20T21:38:17.9363000Z inflating: build/lib/torch/include/ATen/ops/_standard_gamma_grad_native.h 2024-08-20T21:38:17.9363597Z inflating: build/lib/torch/include/ATen/ops/_standard_gamma_grad_ops.h 2024-08-20T21:38:17.9364188Z inflating: build/lib/torch/include/ATen/ops/_standard_gamma_native.h 2024-08-20T21:38:17.9364708Z inflating: build/lib/torch/include/ATen/ops/_standard_gamma_ops.h 2024-08-20T21:38:17.9365301Z inflating: build/lib/torch/include/ATen/ops/_test_ambiguous_defaults.h 2024-08-20T21:38:17.9366324Z inflating: build/lib/torch/include/ATen/ops/_test_ambiguous_defaults_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9367102Z inflating: build/lib/torch/include/ATen/ops/_test_ambiguous_defaults_native.h 2024-08-20T21:38:17.9367760Z inflating: build/lib/torch/include/ATen/ops/_test_ambiguous_defaults_ops.h 2024-08-20T21:38:17.9368437Z inflating: build/lib/torch/include/ATen/ops/_test_autograd_multiple_dispatch.h 2024-08-20T21:38:17.9369547Z inflating: build/lib/torch/include/ATen/ops/_test_autograd_multiple_dispatch_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9370654Z inflating: build/lib/torch/include/ATen/ops/_test_autograd_multiple_dispatch_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9371400Z inflating: build/lib/torch/include/ATen/ops/_test_autograd_multiple_dispatch_native.h 2024-08-20T21:38:17.9372205Z inflating: build/lib/torch/include/ATen/ops/_test_autograd_multiple_dispatch_ops.h 2024-08-20T21:38:17.9372937Z inflating: build/lib/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view.h 2024-08-20T21:38:17.9374195Z inflating: build/lib/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9375020Z inflating: build/lib/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy.h 2024-08-20T21:38:17.9376222Z inflating: build/lib/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9377583Z inflating: build/lib/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9378472Z inflating: build/lib/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_native.h 2024-08-20T21:38:17.9379312Z inflating: build/lib/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_ops.h 2024-08-20T21:38:17.9380213Z inflating: build/lib/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_native.h 2024-08-20T21:38:17.9380997Z inflating: build/lib/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_ops.h 2024-08-20T21:38:17.9381561Z inflating: build/lib/torch/include/ATen/ops/_test_check_tensor.h 2024-08-20T21:38:17.9382512Z inflating: build/lib/torch/include/ATen/ops/_test_check_tensor_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9383116Z inflating: build/lib/torch/include/ATen/ops/_test_check_tensor_native.h 2024-08-20T21:38:17.9383709Z inflating: build/lib/torch/include/ATen/ops/_test_check_tensor_ops.h 2024-08-20T21:38:17.9384325Z inflating: build/lib/torch/include/ATen/ops/_test_functorch_fallback.h 2024-08-20T21:38:17.9385322Z inflating: build/lib/torch/include/ATen/ops/_test_functorch_fallback_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9386080Z inflating: build/lib/torch/include/ATen/ops/_test_functorch_fallback_cpu_dispatch.h 2024-08-20T21:38:17.9386752Z inflating: build/lib/torch/include/ATen/ops/_test_functorch_fallback_native.h 2024-08-20T21:38:17.9387397Z inflating: build/lib/torch/include/ATen/ops/_test_functorch_fallback_ops.h 2024-08-20T21:38:17.9388066Z inflating: build/lib/torch/include/ATen/ops/_test_optional_filled_intlist.h 2024-08-20T21:38:17.9389114Z inflating: build/lib/torch/include/ATen/ops/_test_optional_filled_intlist_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9389898Z inflating: build/lib/torch/include/ATen/ops/_test_optional_filled_intlist_cpu_dispatch.h 2024-08-20T21:38:17.9390640Z inflating: build/lib/torch/include/ATen/ops/_test_optional_filled_intlist_native.h 2024-08-20T21:38:17.9391337Z inflating: build/lib/torch/include/ATen/ops/_test_optional_filled_intlist_ops.h 2024-08-20T21:38:17.9391953Z inflating: build/lib/torch/include/ATen/ops/_test_optional_floatlist.h 2024-08-20T21:38:17.9392949Z inflating: build/lib/torch/include/ATen/ops/_test_optional_floatlist_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9393681Z inflating: build/lib/torch/include/ATen/ops/_test_optional_floatlist_cpu_dispatch.h 2024-08-20T21:38:17.9394872Z inflating: build/lib/torch/include/ATen/ops/_test_optional_floatlist_native.h 2024-08-20T21:38:17.9395523Z inflating: build/lib/torch/include/ATen/ops/_test_optional_floatlist_ops.h 2024-08-20T21:38:17.9396102Z inflating: build/lib/torch/include/ATen/ops/_test_optional_intlist.h 2024-08-20T21:38:17.9396959Z inflating: build/lib/torch/include/ATen/ops/_test_optional_intlist_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9397678Z inflating: build/lib/torch/include/ATen/ops/_test_optional_intlist_cpu_dispatch.h 2024-08-20T21:38:17.9398340Z inflating: build/lib/torch/include/ATen/ops/_test_optional_intlist_native.h 2024-08-20T21:38:17.9398957Z inflating: build/lib/torch/include/ATen/ops/_test_optional_intlist_ops.h 2024-08-20T21:38:17.9399579Z inflating: build/lib/torch/include/ATen/ops/_test_parallel_materialize.h 2024-08-20T21:38:17.9400636Z inflating: build/lib/torch/include/ATen/ops/_test_parallel_materialize_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9401492Z inflating: build/lib/torch/include/ATen/ops/_test_parallel_materialize_native.h 2024-08-20T21:38:17.9402156Z inflating: build/lib/torch/include/ATen/ops/_test_parallel_materialize_ops.h 2024-08-20T21:38:17.9402802Z inflating: build/lib/torch/include/ATen/ops/_test_serialization_subcmul.h 2024-08-20T21:38:17.9403839Z inflating: build/lib/torch/include/ATen/ops/_test_serialization_subcmul_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9404576Z inflating: build/lib/torch/include/ATen/ops/_test_serialization_subcmul_native.h 2024-08-20T21:38:17.9405240Z inflating: build/lib/torch/include/ATen/ops/_test_serialization_subcmul_ops.h 2024-08-20T21:38:17.9405782Z inflating: build/lib/torch/include/ATen/ops/_test_string_default.h 2024-08-20T21:38:17.9406744Z inflating: build/lib/torch/include/ATen/ops/_test_string_default_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9407373Z inflating: build/lib/torch/include/ATen/ops/_test_string_default_native.h 2024-08-20T21:38:17.9407972Z inflating: build/lib/torch/include/ATen/ops/_test_string_default_ops.h 2024-08-20T21:38:17.9408557Z inflating: build/lib/torch/include/ATen/ops/_test_warn_in_autograd.h 2024-08-20T21:38:17.9409531Z inflating: build/lib/torch/include/ATen/ops/_test_warn_in_autograd_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9410189Z inflating: build/lib/torch/include/ATen/ops/_test_warn_in_autograd_native.h 2024-08-20T21:38:17.9410800Z inflating: build/lib/torch/include/ATen/ops/_test_warn_in_autograd_ops.h 2024-08-20T21:38:17.9411552Z inflating: build/lib/torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward.h 2024-08-20T21:38:17.9412723Z inflating: build/lib/torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9413549Z inflating: build/lib/torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward_native.h 2024-08-20T21:38:17.9414351Z inflating: build/lib/torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward_ops.h 2024-08-20T21:38:17.9415150Z inflating: build/lib/torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward.h 2024-08-20T21:38:17.9416316Z inflating: build/lib/torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9417153Z inflating: build/lib/torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward_native.h 2024-08-20T21:38:17.9417962Z inflating: build/lib/torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward_ops.h 2024-08-20T21:38:17.9418501Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_gru_cell.h 2024-08-20T21:38:17.9419162Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_gru_cell_backward.h 2024-08-20T21:38:17.9420272Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_gru_cell_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9421014Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_gru_cell_backward_cuda_dispatch.h 2024-08-20T21:38:17.9421849Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_gru_cell_backward_native.h 2024-08-20T21:38:17.9422525Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_gru_cell_backward_ops.h 2024-08-20T21:38:17.9423506Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_gru_cell_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9424215Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_gru_cell_cuda_dispatch.h 2024-08-20T21:38:17.9424834Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_gru_cell_native.h 2024-08-20T21:38:17.9425441Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_gru_cell_ops.h 2024-08-20T21:38:17.9426118Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_lstm_cell.h 2024-08-20T21:38:17.9426648Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward.h 2024-08-20T21:38:17.9427592Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9428312Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl.h 2024-08-20T21:38:17.9429454Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9430313Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_cuda_dispatch.h 2024-08-20T21:38:17.9431098Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_native.h 2024-08-20T21:38:17.9431861Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_ops.h 2024-08-20T21:38:17.9432594Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_native.h 2024-08-20T21:38:17.9433298Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_ops.h 2024-08-20T21:38:17.9434287Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_lstm_cell_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9434860Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_lstm_cell_cuda_dispatch.h 2024-08-20T21:38:17.9435476Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_lstm_cell_native.h 2024-08-20T21:38:17.9436081Z inflating: build/lib/torch/include/ATen/ops/_thnn_fused_lstm_cell_ops.h 2024-08-20T21:38:17.9436486Z inflating: build/lib/torch/include/ATen/ops/_to_copy.h 2024-08-20T21:38:17.9437326Z inflating: build/lib/torch/include/ATen/ops/_to_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9437803Z inflating: build/lib/torch/include/ATen/ops/_to_copy_native.h 2024-08-20T21:38:17.9438244Z inflating: build/lib/torch/include/ATen/ops/_to_copy_ops.h 2024-08-20T21:38:17.9438647Z inflating: build/lib/torch/include/ATen/ops/_to_cpu.h 2024-08-20T21:38:17.9439459Z inflating: build/lib/torch/include/ATen/ops/_to_cpu_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9439948Z inflating: build/lib/torch/include/ATen/ops/_to_cpu_native.h 2024-08-20T21:38:17.9440386Z inflating: build/lib/torch/include/ATen/ops/_to_cpu_ops.h 2024-08-20T21:38:17.9440800Z inflating: build/lib/torch/include/ATen/ops/_to_dense.h 2024-08-20T21:38:17.9441639Z inflating: build/lib/torch/include/ATen/ops/_to_dense_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9442124Z inflating: build/lib/torch/include/ATen/ops/_to_dense_native.h 2024-08-20T21:38:17.9442578Z inflating: build/lib/torch/include/ATen/ops/_to_dense_ops.h 2024-08-20T21:38:17.9443027Z inflating: build/lib/torch/include/ATen/ops/_to_sparse.h 2024-08-20T21:38:17.9443492Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_bsc.h 2024-08-20T21:38:17.9444369Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_bsc_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9445010Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_bsc_cpu_dispatch.h 2024-08-20T21:38:17.9445659Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_bsc_cuda_dispatch.h 2024-08-20T21:38:17.9446351Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_bsc_native.h 2024-08-20T21:38:17.9446866Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_bsc_ops.h 2024-08-20T21:38:17.9447326Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_bsr.h 2024-08-20T21:38:17.9448243Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_bsr_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9448846Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_bsr_cpu_dispatch.h 2024-08-20T21:38:17.9449480Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_bsr_cuda_dispatch.h 2024-08-20T21:38:17.9450049Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_bsr_native.h 2024-08-20T21:38:17.9450557Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_bsr_ops.h 2024-08-20T21:38:17.9451433Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9452111Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_cpu_dispatch.h 2024-08-20T21:38:17.9452573Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_csc.h 2024-08-20T21:38:17.9453463Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_csc_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9454087Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_csc_cpu_dispatch.h 2024-08-20T21:38:17.9454727Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_csc_cuda_dispatch.h 2024-08-20T21:38:17.9455288Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_csc_native.h 2024-08-20T21:38:17.9455804Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_csc_ops.h 2024-08-20T21:38:17.9456269Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_csr.h 2024-08-20T21:38:17.9457192Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_csr_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9457826Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_csr_cpu_dispatch.h 2024-08-20T21:38:17.9458475Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_csr_cuda_dispatch.h 2024-08-20T21:38:17.9459034Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_csr_native.h 2024-08-20T21:38:17.9459545Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_csr_ops.h 2024-08-20T21:38:17.9460266Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_cuda_dispatch.h 2024-08-20T21:38:17.9460794Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_native.h 2024-08-20T21:38:17.9461254Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_ops.h 2024-08-20T21:38:17.9461888Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_semi_structured.h 2024-08-20T21:38:17.9462664Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_semi_structured_cuda_dispatch.h 2024-08-20T21:38:17.9463348Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_semi_structured_native.h 2024-08-20T21:38:17.9464021Z inflating: build/lib/torch/include/ATen/ops/_to_sparse_semi_structured_ops.h 2024-08-20T21:38:17.9464650Z inflating: build/lib/torch/include/ATen/ops/_transform_bias_rescale_qkv.h 2024-08-20T21:38:17.9465702Z inflating: build/lib/torch/include/ATen/ops/_transform_bias_rescale_qkv_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9466478Z inflating: build/lib/torch/include/ATen/ops/_transform_bias_rescale_qkv_cpu_dispatch.h 2024-08-20T21:38:17.9467246Z inflating: build/lib/torch/include/ATen/ops/_transform_bias_rescale_qkv_cuda_dispatch.h 2024-08-20T21:38:17.9467969Z inflating: build/lib/torch/include/ATen/ops/_transform_bias_rescale_qkv_native.h 2024-08-20T21:38:17.9468665Z inflating: build/lib/torch/include/ATen/ops/_transform_bias_rescale_qkv_ops.h 2024-08-20T21:38:17.9469303Z inflating: build/lib/torch/include/ATen/ops/_transformer_encoder_layer_fwd.h 2024-08-20T21:38:17.9470380Z inflating: build/lib/torch/include/ATen/ops/_transformer_encoder_layer_fwd_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9471335Z inflating: build/lib/torch/include/ATen/ops/_transformer_encoder_layer_fwd_cpu_dispatch.h 2024-08-20T21:38:17.9472179Z inflating: build/lib/torch/include/ATen/ops/_transformer_encoder_layer_fwd_cuda_dispatch.h 2024-08-20T21:38:17.9472757Z inflating: build/lib/torch/include/ATen/ops/_transformer_encoder_layer_fwd_native.h 2024-08-20T21:38:17.9473459Z inflating: build/lib/torch/include/ATen/ops/_transformer_encoder_layer_fwd_ops.h 2024-08-20T21:38:17.9473894Z inflating: build/lib/torch/include/ATen/ops/_trilinear.h 2024-08-20T21:38:17.9474733Z inflating: build/lib/torch/include/ATen/ops/_trilinear_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9475801Z inflating: build/lib/torch/include/ATen/ops/_trilinear_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9476306Z inflating: build/lib/torch/include/ATen/ops/_trilinear_native.h 2024-08-20T21:38:17.9476869Z inflating: build/lib/torch/include/ATen/ops/_trilinear_ops.h 2024-08-20T21:38:17.9477532Z inflating: build/lib/torch/include/ATen/ops/_triton_multi_head_attention.h 2024-08-20T21:38:17.9478569Z inflating: build/lib/torch/include/ATen/ops/_triton_multi_head_attention_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9479366Z inflating: build/lib/torch/include/ATen/ops/_triton_multi_head_attention_cuda_dispatch.h 2024-08-20T21:38:17.9480083Z inflating: build/lib/torch/include/ATen/ops/_triton_multi_head_attention_native.h 2024-08-20T21:38:17.9480763Z inflating: build/lib/torch/include/ATen/ops/_triton_multi_head_attention_ops.h 2024-08-20T21:38:17.9481414Z inflating: build/lib/torch/include/ATen/ops/_triton_scaled_dot_attention.h 2024-08-20T21:38:17.9482452Z inflating: build/lib/torch/include/ATen/ops/_triton_scaled_dot_attention_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9483242Z inflating: build/lib/torch/include/ATen/ops/_triton_scaled_dot_attention_cuda_dispatch.h 2024-08-20T21:38:17.9483922Z inflating: build/lib/torch/include/ATen/ops/_triton_scaled_dot_attention_native.h 2024-08-20T21:38:17.9484628Z inflating: build/lib/torch/include/ATen/ops/_triton_scaled_dot_attention_ops.h 2024-08-20T21:38:17.9484907Z inflating: build/lib/torch/include/ATen/ops/_unique.h 2024-08-20T21:38:17.9485329Z inflating: build/lib/torch/include/ATen/ops/_unique2.h 2024-08-20T21:38:17.9486159Z inflating: build/lib/torch/include/ATen/ops/_unique2_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9486714Z inflating: build/lib/torch/include/ATen/ops/_unique2_cpu_dispatch.h 2024-08-20T21:38:17.9487299Z inflating: build/lib/torch/include/ATen/ops/_unique2_cuda_dispatch.h 2024-08-20T21:38:17.9487782Z inflating: build/lib/torch/include/ATen/ops/_unique2_native.h 2024-08-20T21:38:17.9488178Z inflating: build/lib/torch/include/ATen/ops/_unique2_ops.h 2024-08-20T21:38:17.9488840Z inflating: build/lib/torch/include/ATen/ops/_unique_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9489395Z inflating: build/lib/torch/include/ATen/ops/_unique_cpu_dispatch.h 2024-08-20T21:38:17.9489974Z inflating: build/lib/torch/include/ATen/ops/_unique_cuda_dispatch.h 2024-08-20T21:38:17.9490452Z inflating: build/lib/torch/include/ATen/ops/_unique_native.h 2024-08-20T21:38:17.9490892Z inflating: build/lib/torch/include/ATen/ops/_unique_ops.h 2024-08-20T21:38:17.9491347Z inflating: build/lib/torch/include/ATen/ops/_unpack_dual.h 2024-08-20T21:38:17.9492206Z inflating: build/lib/torch/include/ATen/ops/_unpack_dual_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9492763Z inflating: build/lib/torch/include/ATen/ops/_unpack_dual_native.h 2024-08-20T21:38:17.9493166Z inflating: build/lib/torch/include/ATen/ops/_unpack_dual_ops.h 2024-08-20T21:38:17.9493630Z inflating: build/lib/torch/include/ATen/ops/_unsafe_index.h 2024-08-20T21:38:17.9494528Z inflating: build/lib/torch/include/ATen/ops/_unsafe_index_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9495069Z inflating: build/lib/torch/include/ATen/ops/_unsafe_index_native.h 2024-08-20T21:38:17.9495675Z inflating: build/lib/torch/include/ATen/ops/_unsafe_index_ops.h 2024-08-20T21:38:17.9496204Z inflating: build/lib/torch/include/ATen/ops/_unsafe_index_put.h 2024-08-20T21:38:17.9497128Z inflating: build/lib/torch/include/ATen/ops/_unsafe_index_put_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9497729Z inflating: build/lib/torch/include/ATen/ops/_unsafe_index_put_native.h 2024-08-20T21:38:17.9498291Z inflating: build/lib/torch/include/ATen/ops/_unsafe_index_put_ops.h 2024-08-20T21:38:17.9498824Z inflating: build/lib/torch/include/ATen/ops/_unsafe_masked_index.h 2024-08-20T21:38:17.9499857Z inflating: build/lib/torch/include/ATen/ops/_unsafe_masked_index_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9500485Z inflating: build/lib/torch/include/ATen/ops/_unsafe_masked_index_native.h 2024-08-20T21:38:17.9501177Z inflating: build/lib/torch/include/ATen/ops/_unsafe_masked_index_ops.h 2024-08-20T21:38:17.9501910Z inflating: build/lib/torch/include/ATen/ops/_unsafe_masked_index_put_accumulate.h 2024-08-20T21:38:17.9503045Z inflating: build/lib/torch/include/ATen/ops/_unsafe_masked_index_put_accumulate_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9503835Z inflating: build/lib/torch/include/ATen/ops/_unsafe_masked_index_put_accumulate_native.h 2024-08-20T21:38:17.9504597Z inflating: build/lib/torch/include/ATen/ops/_unsafe_masked_index_put_accumulate_ops.h 2024-08-20T21:38:17.9505035Z inflating: build/lib/torch/include/ATen/ops/_unsafe_view.h 2024-08-20T21:38:17.9505919Z inflating: build/lib/torch/include/ATen/ops/_unsafe_view_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9506421Z inflating: build/lib/torch/include/ATen/ops/_unsafe_view_ops.h 2024-08-20T21:38:17.9506949Z inflating: build/lib/torch/include/ATen/ops/_unsafe_view_native.h 2024-08-20T21:38:17.9507543Z inflating: build/lib/torch/include/ATen/ops/_upsample_bicubic2d_aa.h 2024-08-20T21:38:17.9508218Z inflating: build/lib/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward.h 2024-08-20T21:38:17.9509472Z inflating: build/lib/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9510311Z inflating: build/lib/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_cpu_dispatch.h 2024-08-20T21:38:17.9511128Z inflating: build/lib/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_cuda_dispatch.h 2024-08-20T21:38:17.9511793Z inflating: build/lib/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_meta.h 2024-08-20T21:38:17.9512585Z inflating: build/lib/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_meta_dispatch.h 2024-08-20T21:38:17.9513344Z inflating: build/lib/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_native.h 2024-08-20T21:38:17.9514070Z inflating: build/lib/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_ops.h 2024-08-20T21:38:17.9515235Z inflating: build/lib/torch/include/ATen/ops/_upsample_bicubic2d_aa_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9516244Z inflating: build/lib/torch/include/ATen/ops/_upsample_bicubic2d_aa_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9516959Z inflating: build/lib/torch/include/ATen/ops/_upsample_bicubic2d_aa_cpu_dispatch.h 2024-08-20T21:38:17.9517693Z inflating: build/lib/torch/include/ATen/ops/_upsample_bicubic2d_aa_cuda_dispatch.h 2024-08-20T21:38:17.9518330Z inflating: build/lib/torch/include/ATen/ops/_upsample_bicubic2d_aa_meta.h 2024-08-20T21:38:17.9519043Z inflating: build/lib/torch/include/ATen/ops/_upsample_bicubic2d_aa_meta_dispatch.h 2024-08-20T21:38:17.9519692Z inflating: build/lib/torch/include/ATen/ops/_upsample_bicubic2d_aa_native.h 2024-08-20T21:38:17.9520325Z inflating: build/lib/torch/include/ATen/ops/_upsample_bicubic2d_aa_ops.h 2024-08-20T21:38:17.9520913Z inflating: build/lib/torch/include/ATen/ops/_upsample_bilinear2d_aa.h 2024-08-20T21:38:17.9521718Z inflating: build/lib/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward.h 2024-08-20T21:38:17.9522987Z inflating: build/lib/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9523812Z inflating: build/lib/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_cpu_dispatch.h 2024-08-20T21:38:17.9524663Z inflating: build/lib/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_cuda_dispatch.h 2024-08-20T21:38:17.9525389Z inflating: build/lib/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_meta.h 2024-08-20T21:38:17.9526400Z inflating: build/lib/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_meta_dispatch.h 2024-08-20T21:38:17.9527166Z inflating: build/lib/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_native.h 2024-08-20T21:38:17.9527889Z inflating: build/lib/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_ops.h 2024-08-20T21:38:17.9529243Z inflating: build/lib/torch/include/ATen/ops/_upsample_bilinear2d_aa_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9530232Z inflating: build/lib/torch/include/ATen/ops/_upsample_bilinear2d_aa_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9530968Z inflating: build/lib/torch/include/ATen/ops/_upsample_bilinear2d_aa_cpu_dispatch.h 2024-08-20T21:38:17.9531710Z inflating: build/lib/torch/include/ATen/ops/_upsample_bilinear2d_aa_cuda_dispatch.h 2024-08-20T21:38:17.9532347Z inflating: build/lib/torch/include/ATen/ops/_upsample_bilinear2d_aa_meta.h 2024-08-20T21:38:17.9533092Z inflating: build/lib/torch/include/ATen/ops/_upsample_bilinear2d_aa_meta_dispatch.h 2024-08-20T21:38:17.9533764Z inflating: build/lib/torch/include/ATen/ops/_upsample_bilinear2d_aa_native.h 2024-08-20T21:38:17.9534383Z inflating: build/lib/torch/include/ATen/ops/_upsample_bilinear2d_aa_ops.h 2024-08-20T21:38:17.9535012Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact1d.h 2024-08-20T21:38:17.9535727Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact1d_backward.h 2024-08-20T21:38:17.9537024Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9537878Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_cpu_dispatch.h 2024-08-20T21:38:17.9538751Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_cuda_dispatch.h 2024-08-20T21:38:17.9539518Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_meta.h 2024-08-20T21:38:17.9540478Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_meta_dispatch.h 2024-08-20T21:38:17.9541261Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_native.h 2024-08-20T21:38:17.9542035Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_ops.h 2024-08-20T21:38:17.9543222Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact1d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9544248Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact1d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9545000Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact1d_cpu_dispatch.h 2024-08-20T21:38:17.9545768Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact1d_cuda_dispatch.h 2024-08-20T21:38:17.9546428Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact1d_meta.h 2024-08-20T21:38:17.9547204Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact1d_meta_dispatch.h 2024-08-20T21:38:17.9547884Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact1d_native.h 2024-08-20T21:38:17.9548545Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact1d_ops.h 2024-08-20T21:38:17.9549058Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact2d.h 2024-08-20T21:38:17.9549756Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact2d_backward.h 2024-08-20T21:38:17.9551061Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9551917Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_cpu_dispatch.h 2024-08-20T21:38:17.9552779Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_cuda_dispatch.h 2024-08-20T21:38:17.9553511Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_meta.h 2024-08-20T21:38:17.9554343Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_meta_dispatch.h 2024-08-20T21:38:17.9555113Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_native.h 2024-08-20T21:38:17.9555942Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_ops.h 2024-08-20T21:38:17.9556973Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact2d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9559132Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact2d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9560792Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact2d_cpu_dispatch.h 2024-08-20T21:38:17.9562523Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact2d_cuda_dispatch.h 2024-08-20T21:38:17.9564219Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact2d_meta.h 2024-08-20T21:38:17.9565956Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact2d_meta_dispatch.h 2024-08-20T21:38:17.9567705Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact2d_native.h 2024-08-20T21:38:17.9569252Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact2d_ops.h 2024-08-20T21:38:17.9570841Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact3d.h 2024-08-20T21:38:17.9572488Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact3d_backward.h 2024-08-20T21:38:17.9574800Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9577235Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_cpu_dispatch.h 2024-08-20T21:38:17.9579270Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_cuda_dispatch.h 2024-08-20T21:38:17.9581268Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_meta.h 2024-08-20T21:38:17.9595581Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_meta_dispatch.h 2024-08-20T21:38:17.9597578Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_native.h 2024-08-20T21:38:17.9599458Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_ops.h 2024-08-20T21:38:17.9601724Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact3d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9604230Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact3d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9606314Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact3d_cpu_dispatch.h 2024-08-20T21:38:17.9608155Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact3d_cuda_dispatch.h 2024-08-20T21:38:17.9609967Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact3d_meta.h 2024-08-20T21:38:17.9611713Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact3d_meta_dispatch.h 2024-08-20T21:38:17.9613476Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact3d_native.h 2024-08-20T21:38:17.9615345Z inflating: build/lib/torch/include/ATen/ops/_upsample_nearest_exact3d_ops.h 2024-08-20T21:38:17.9616837Z inflating: build/lib/torch/include/ATen/ops/_use_cudnn_ctc_loss.h 2024-08-20T21:38:17.9618384Z inflating: build/lib/torch/include/ATen/ops/_use_cudnn_ctc_loss_cuda_dispatch.h 2024-08-20T21:38:17.9620059Z inflating: build/lib/torch/include/ATen/ops/_use_cudnn_ctc_loss_native.h 2024-08-20T21:38:17.9621566Z inflating: build/lib/torch/include/ATen/ops/_use_cudnn_ctc_loss_ops.h 2024-08-20T21:38:17.9623126Z inflating: build/lib/torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight.h 2024-08-20T21:38:17.9625101Z inflating: build/lib/torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9627203Z inflating: build/lib/torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight_native.h 2024-08-20T21:38:17.9628956Z inflating: build/lib/torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight_ops.h 2024-08-20T21:38:17.9630886Z inflating: build/lib/torch/include/ATen/ops/_validate_compressed_sparse_indices.h 2024-08-20T21:38:17.9632774Z inflating: build/lib/torch/include/ATen/ops/_validate_compressed_sparse_indices_cpu_dispatch.h 2024-08-20T21:38:17.9634828Z inflating: build/lib/torch/include/ATen/ops/_validate_compressed_sparse_indices_cuda_dispatch.h 2024-08-20T21:38:17.9636822Z inflating: build/lib/torch/include/ATen/ops/_validate_compressed_sparse_indices_native.h 2024-08-20T21:38:17.9638697Z inflating: build/lib/torch/include/ATen/ops/_validate_compressed_sparse_indices_ops.h 2024-08-20T21:38:17.9640461Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_bsc_tensor_args.h 2024-08-20T21:38:17.9642565Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_bsc_tensor_args_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9644731Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_bsc_tensor_args_native.h 2024-08-20T21:38:17.9646536Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_bsc_tensor_args_ops.h 2024-08-20T21:38:17.9648180Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_bsr_tensor_args.h 2024-08-20T21:38:17.9650255Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_bsr_tensor_args_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9652381Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_bsr_tensor_args_native.h 2024-08-20T21:38:17.9654184Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_bsr_tensor_args_ops.h 2024-08-20T21:38:17.9655990Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_compressed_tensor_args.h 2024-08-20T21:38:17.9658251Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_compressed_tensor_args_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9660631Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_compressed_tensor_args_native.h 2024-08-20T21:38:17.9662610Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_compressed_tensor_args_ops.h 2024-08-20T21:38:17.9664250Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_coo_tensor_args.h 2024-08-20T21:38:17.9666344Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_coo_tensor_args_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9668525Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_coo_tensor_args_native.h 2024-08-20T21:38:17.9670338Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_coo_tensor_args_ops.h 2024-08-20T21:38:17.9672101Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_csc_tensor_args.h 2024-08-20T21:38:17.9674119Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_csc_tensor_args_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9676293Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_csc_tensor_args_native.h 2024-08-20T21:38:17.9678104Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_csc_tensor_args_ops.h 2024-08-20T21:38:17.9679988Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_csr_tensor_args.h 2024-08-20T21:38:17.9682090Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_csr_tensor_args_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9684249Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_csr_tensor_args_native.h 2024-08-20T21:38:17.9686046Z inflating: build/lib/torch/include/ATen/ops/_validate_sparse_csr_tensor_args_ops.h 2024-08-20T21:38:17.9687481Z inflating: build/lib/torch/include/ATen/ops/_values.h 2024-08-20T21:38:17.9688638Z inflating: build/lib/torch/include/ATen/ops/_values_copy.h 2024-08-20T21:38:17.9690161Z inflating: build/lib/torch/include/ATen/ops/_values_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9692390Z inflating: build/lib/torch/include/ATen/ops/_values_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9694422Z inflating: build/lib/torch/include/ATen/ops/_values_copy_native.h 2024-08-20T21:38:17.9695773Z inflating: build/lib/torch/include/ATen/ops/_values_copy_ops.h 2024-08-20T21:38:17.9697002Z inflating: build/lib/torch/include/ATen/ops/_values_native.h 2024-08-20T21:38:17.9698047Z inflating: build/lib/torch/include/ATen/ops/_values_ops.h 2024-08-20T21:38:17.9699196Z inflating: build/lib/torch/include/ATen/ops/_version.h 2024-08-20T21:38:17.9700826Z inflating: build/lib/torch/include/ATen/ops/_version_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9702329Z inflating: build/lib/torch/include/ATen/ops/_version_native.h 2024-08-20T21:38:17.9703573Z inflating: build/lib/torch/include/ATen/ops/_version_ops.h 2024-08-20T21:38:17.9704851Z inflating: build/lib/torch/include/ATen/ops/_weight_int4pack_mm.h 2024-08-20T21:38:17.9706358Z inflating: build/lib/torch/include/ATen/ops/_weight_int4pack_mm_cpu_dispatch.h 2024-08-20T21:38:17.9708080Z inflating: build/lib/torch/include/ATen/ops/_weight_int4pack_mm_cuda_dispatch.h 2024-08-20T21:38:17.9709716Z inflating: build/lib/torch/include/ATen/ops/_weight_int4pack_mm_native.h 2024-08-20T21:38:17.9711217Z inflating: build/lib/torch/include/ATen/ops/_weight_int4pack_mm_ops.h 2024-08-20T21:38:17.9712654Z inflating: build/lib/torch/include/ATen/ops/_weight_int8pack_mm.h 2024-08-20T21:38:17.9714183Z inflating: build/lib/torch/include/ATen/ops/_weight_int8pack_mm_cpu_dispatch.h 2024-08-20T21:38:17.9715799Z inflating: build/lib/torch/include/ATen/ops/_weight_int8pack_mm_native.h 2024-08-20T21:38:17.9717305Z inflating: build/lib/torch/include/ATen/ops/_weight_int8pack_mm_ops.h 2024-08-20T21:38:17.9718669Z inflating: build/lib/torch/include/ATen/ops/_weight_norm.h 2024-08-20T21:38:17.9720300Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9722199Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_differentiable_backward.h 2024-08-20T21:38:17.9724430Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_differentiable_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9726831Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_differentiable_backward_native.h 2024-08-20T21:38:17.9728719Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_differentiable_backward_ops.h 2024-08-20T21:38:17.9730400Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_interface.h 2024-08-20T21:38:17.9731963Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_interface_backward.h 2024-08-20T21:38:17.9734071Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_interface_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9736251Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_interface_backward_cpu_dispatch.h 2024-08-20T21:38:17.9738279Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_interface_backward_cuda_dispatch.h 2024-08-20T21:38:17.9740130Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_interface_backward_native.h 2024-08-20T21:38:17.9742026Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_interface_backward_ops.h 2024-08-20T21:38:17.9744085Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_interface_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9746117Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_interface_cpu_dispatch.h 2024-08-20T21:38:17.9747903Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_interface_cuda_dispatch.h 2024-08-20T21:38:17.9749590Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_interface_native.h 2024-08-20T21:38:17.9751173Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_interface_ops.h 2024-08-20T21:38:17.9752639Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_native.h 2024-08-20T21:38:17.9753964Z inflating: build/lib/torch/include/ATen/ops/_weight_norm_ops.h 2024-08-20T21:38:17.9755201Z inflating: build/lib/torch/include/ATen/ops/abs.h 2024-08-20T21:38:17.9756656Z inflating: build/lib/torch/include/ATen/ops/abs_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9758262Z inflating: build/lib/torch/include/ATen/ops/abs_cpu_dispatch.h 2024-08-20T21:38:17.9759597Z inflating: build/lib/torch/include/ATen/ops/abs_cuda_dispatch.h 2024-08-20T21:38:17.9760890Z inflating: build/lib/torch/include/ATen/ops/abs_native.h 2024-08-20T21:38:17.9762015Z inflating: build/lib/torch/include/ATen/ops/abs_ops.h 2024-08-20T21:38:17.9763100Z inflating: build/lib/torch/include/ATen/ops/absolute.h 2024-08-20T21:38:17.9764663Z inflating: build/lib/torch/include/ATen/ops/absolute_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9766333Z inflating: build/lib/torch/include/ATen/ops/absolute_native.h 2024-08-20T21:38:17.9767577Z inflating: build/lib/torch/include/ATen/ops/absolute_ops.h 2024-08-20T21:38:17.9768693Z inflating: build/lib/torch/include/ATen/ops/acos.h 2024-08-20T21:38:17.9770366Z inflating: build/lib/torch/include/ATen/ops/acos_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9772179Z inflating: build/lib/torch/include/ATen/ops/acos_cpu_dispatch.h 2024-08-20T21:38:17.9773540Z inflating: build/lib/torch/include/ATen/ops/acos_cuda_dispatch.h 2024-08-20T21:38:17.9774796Z inflating: build/lib/torch/include/ATen/ops/acos_meta.h 2024-08-20T21:38:17.9776030Z inflating: build/lib/torch/include/ATen/ops/acos_meta_dispatch.h 2024-08-20T21:38:17.9777091Z inflating: build/lib/torch/include/ATen/ops/acos_native.h 2024-08-20T21:38:17.9778233Z inflating: build/lib/torch/include/ATen/ops/acos_ops.h 2024-08-20T21:38:17.9779323Z inflating: build/lib/torch/include/ATen/ops/acosh.h 2024-08-20T21:38:17.9781077Z inflating: build/lib/torch/include/ATen/ops/acosh_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9782946Z inflating: build/lib/torch/include/ATen/ops/acosh_cpu_dispatch.h 2024-08-20T21:38:17.9784336Z inflating: build/lib/torch/include/ATen/ops/acosh_cuda_dispatch.h 2024-08-20T21:38:17.9785597Z inflating: build/lib/torch/include/ATen/ops/acosh_meta.h 2024-08-20T21:38:17.9786868Z inflating: build/lib/torch/include/ATen/ops/acosh_meta_dispatch.h 2024-08-20T21:38:17.9788157Z inflating: build/lib/torch/include/ATen/ops/acosh_native.h 2024-08-20T21:38:17.9789318Z inflating: build/lib/torch/include/ATen/ops/acosh_ops.h 2024-08-20T21:38:17.9790594Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool1d.h 2024-08-20T21:38:17.9792435Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool1d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9794379Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool1d_native.h 2024-08-20T21:38:17.9795931Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool1d_ops.h 2024-08-20T21:38:17.9797383Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool2d.h 2024-08-20T21:38:17.9799227Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool2d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9801347Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool2d_cpu_dispatch.h 2024-08-20T21:38:17.9803088Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool2d_cuda_dispatch.h 2024-08-20T21:38:17.9804758Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool2d_native.h 2024-08-20T21:38:17.9806282Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool2d_ops.h 2024-08-20T21:38:17.9807734Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool3d.h 2024-08-20T21:38:17.9809222Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool3d_backward.h 2024-08-20T21:38:17.9811002Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool3d_backward_cpu_dispatch.h 2024-08-20T21:38:17.9812916Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool3d_backward_cuda_dispatch.h 2024-08-20T21:38:17.9814771Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool3d_backward_native.h 2024-08-20T21:38:17.9816540Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool3d_backward_ops.h 2024-08-20T21:38:17.9818547Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool3d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9820625Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool3d_cpu_dispatch.h 2024-08-20T21:38:17.9822374Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool3d_cuda_dispatch.h 2024-08-20T21:38:17.9824030Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool3d_native.h 2024-08-20T21:38:17.9825547Z inflating: build/lib/torch/include/ATen/ops/adaptive_avg_pool3d_ops.h 2024-08-20T21:38:17.9827133Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool1d.h 2024-08-20T21:38:17.9828965Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool1d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9830912Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool1d_native.h 2024-08-20T21:38:17.9832455Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool1d_ops.h 2024-08-20T21:38:17.9833910Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool2d.h 2024-08-20T21:38:17.9835382Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool2d_backward.h 2024-08-20T21:38:17.9837647Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9840033Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool2d_backward_cpu_dispatch.h 2024-08-20T21:38:17.9841992Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool2d_backward_cuda_dispatch.h 2024-08-20T21:38:17.9843826Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool2d_backward_meta.h 2024-08-20T21:38:17.9845678Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool2d_backward_meta_dispatch.h 2024-08-20T21:38:17.9847566Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool2d_backward_native.h 2024-08-20T21:38:17.9849316Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool2d_backward_ops.h 2024-08-20T21:38:17.9851514Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool2d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9853718Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool2d_cpu_dispatch.h 2024-08-20T21:38:17.9855275Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool2d_cuda_dispatch.h 2024-08-20T21:38:17.9856915Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool2d_meta.h 2024-08-20T21:38:17.9858547Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool2d_meta_dispatch.h 2024-08-20T21:38:17.9860286Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool2d_native.h 2024-08-20T21:38:17.9861799Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool2d_ops.h 2024-08-20T21:38:17.9863247Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool3d.h 2024-08-20T21:38:17.9864923Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool3d_backward.h 2024-08-20T21:38:17.9867140Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool3d_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9869531Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool3d_backward_cpu_dispatch.h 2024-08-20T21:38:17.9871476Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool3d_backward_cuda_dispatch.h 2024-08-20T21:38:17.9873315Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool3d_backward_meta.h 2024-08-20T21:38:17.9875142Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool3d_backward_meta_dispatch.h 2024-08-20T21:38:17.9877016Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool3d_backward_native.h 2024-08-20T21:38:17.9878778Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool3d_backward_ops.h 2024-08-20T21:38:17.9881075Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool3d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9883334Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool3d_cpu_dispatch.h 2024-08-20T21:38:17.9885073Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool3d_cuda_dispatch.h 2024-08-20T21:38:17.9886705Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool3d_meta.h 2024-08-20T21:38:17.9888343Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool3d_meta_dispatch.h 2024-08-20T21:38:17.9890001Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool3d_native.h 2024-08-20T21:38:17.9891308Z inflating: build/lib/torch/include/ATen/ops/adaptive_max_pool3d_ops.h 2024-08-20T21:38:17.9892560Z inflating: build/lib/torch/include/ATen/ops/add.h 2024-08-20T21:38:17.9893989Z inflating: build/lib/torch/include/ATen/ops/add_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9896091Z inflating: build/lib/torch/include/ATen/ops/add_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9897849Z inflating: build/lib/torch/include/ATen/ops/add_cpu_dispatch.h 2024-08-20T21:38:17.9899165Z inflating: build/lib/torch/include/ATen/ops/add_cuda_dispatch.h 2024-08-20T21:38:17.9900464Z inflating: build/lib/torch/include/ATen/ops/add_meta.h 2024-08-20T21:38:17.9901667Z inflating: build/lib/torch/include/ATen/ops/add_meta_dispatch.h 2024-08-20T21:38:17.9902919Z inflating: build/lib/torch/include/ATen/ops/add_native.h 2024-08-20T21:38:17.9904034Z inflating: build/lib/torch/include/ATen/ops/add_ops.h 2024-08-20T21:38:17.9905107Z inflating: build/lib/torch/include/ATen/ops/addbmm.h 2024-08-20T21:38:17.9906318Z inflating: build/lib/torch/include/ATen/ops/addbmm_cpu_dispatch.h 2024-08-20T21:38:17.9907727Z inflating: build/lib/torch/include/ATen/ops/addbmm_cuda_dispatch.h 2024-08-20T21:38:17.9909138Z inflating: build/lib/torch/include/ATen/ops/addbmm_meta_dispatch.h 2024-08-20T21:38:17.9910463Z inflating: build/lib/torch/include/ATen/ops/addbmm_native.h 2024-08-20T21:38:17.9911713Z inflating: build/lib/torch/include/ATen/ops/addbmm_ops.h 2024-08-20T21:38:17.9912835Z inflating: build/lib/torch/include/ATen/ops/addcdiv.h 2024-08-20T21:38:17.9914549Z inflating: build/lib/torch/include/ATen/ops/addcdiv_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9916285Z inflating: build/lib/torch/include/ATen/ops/addcdiv_cpu_dispatch.h 2024-08-20T21:38:17.9917699Z inflating: build/lib/torch/include/ATen/ops/addcdiv_cuda_dispatch.h 2024-08-20T21:38:17.9919013Z inflating: build/lib/torch/include/ATen/ops/addcdiv_meta.h 2024-08-20T21:38:17.9920343Z inflating: build/lib/torch/include/ATen/ops/addcdiv_meta_dispatch.h 2024-08-20T21:38:17.9921691Z inflating: build/lib/torch/include/ATen/ops/addcdiv_native.h 2024-08-20T21:38:17.9922913Z inflating: build/lib/torch/include/ATen/ops/addcdiv_ops.h 2024-08-20T21:38:17.9924036Z inflating: build/lib/torch/include/ATen/ops/addcmul.h 2024-08-20T21:38:17.9926055Z inflating: build/lib/torch/include/ATen/ops/addcmul_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9927918Z inflating: build/lib/torch/include/ATen/ops/addcmul_cpu_dispatch.h 2024-08-20T21:38:17.9929097Z inflating: build/lib/torch/include/ATen/ops/addcmul_cuda_dispatch.h 2024-08-20T21:38:17.9930477Z inflating: build/lib/torch/include/ATen/ops/addcmul_meta.h 2024-08-20T21:38:17.9931802Z inflating: build/lib/torch/include/ATen/ops/addcmul_meta_dispatch.h 2024-08-20T21:38:17.9933133Z inflating: build/lib/torch/include/ATen/ops/addcmul_native.h 2024-08-20T21:38:17.9934345Z inflating: build/lib/torch/include/ATen/ops/addcmul_ops.h 2024-08-20T21:38:17.9935497Z inflating: build/lib/torch/include/ATen/ops/addmm.h 2024-08-20T21:38:17.9937176Z inflating: build/lib/torch/include/ATen/ops/addmm_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9939156Z inflating: build/lib/torch/include/ATen/ops/addmm_cpu_dispatch.h 2024-08-20T21:38:17.9940607Z inflating: build/lib/torch/include/ATen/ops/addmm_cuda_dispatch.h 2024-08-20T21:38:17.9941877Z inflating: build/lib/torch/include/ATen/ops/addmm_meta.h 2024-08-20T21:38:17.9943129Z inflating: build/lib/torch/include/ATen/ops/addmm_meta_dispatch.h 2024-08-20T21:38:17.9944425Z inflating: build/lib/torch/include/ATen/ops/addmm_native.h 2024-08-20T21:38:17.9945611Z inflating: build/lib/torch/include/ATen/ops/addmm_ops.h 2024-08-20T21:38:17.9946694Z inflating: build/lib/torch/include/ATen/ops/addmv.h 2024-08-20T21:38:17.9948375Z inflating: build/lib/torch/include/ATen/ops/addmv_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9950209Z inflating: build/lib/torch/include/ATen/ops/addmv_cpu_dispatch.h 2024-08-20T21:38:17.9951564Z inflating: build/lib/torch/include/ATen/ops/addmv_cuda_dispatch.h 2024-08-20T21:38:17.9952845Z inflating: build/lib/torch/include/ATen/ops/addmv_meta.h 2024-08-20T21:38:17.9954114Z inflating: build/lib/torch/include/ATen/ops/addmv_meta_dispatch.h 2024-08-20T21:38:17.9955395Z inflating: build/lib/torch/include/ATen/ops/addmv_native.h 2024-08-20T21:38:17.9956554Z inflating: build/lib/torch/include/ATen/ops/addmv_ops.h 2024-08-20T21:38:17.9957650Z inflating: build/lib/torch/include/ATen/ops/addr.h 2024-08-20T21:38:17.9959115Z inflating: build/lib/torch/include/ATen/ops/addr_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9960736Z inflating: build/lib/torch/include/ATen/ops/addr_cpu_dispatch.h 2024-08-20T21:38:17.9962088Z inflating: build/lib/torch/include/ATen/ops/addr_cuda_dispatch.h 2024-08-20T21:38:17.9963330Z inflating: build/lib/torch/include/ATen/ops/addr_native.h 2024-08-20T21:38:17.9964454Z inflating: build/lib/torch/include/ATen/ops/addr_ops.h 2024-08-20T21:38:17.9965566Z inflating: build/lib/torch/include/ATen/ops/adjoint.h 2024-08-20T21:38:17.9966978Z inflating: build/lib/torch/include/ATen/ops/adjoint_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9968605Z inflating: build/lib/torch/include/ATen/ops/adjoint_native.h 2024-08-20T21:38:17.9969813Z inflating: build/lib/torch/include/ATen/ops/adjoint_ops.h 2024-08-20T21:38:17.9971116Z inflating: build/lib/torch/include/ATen/ops/affine_grid_generator.h 2024-08-20T21:38:17.9972662Z inflating: build/lib/torch/include/ATen/ops/affine_grid_generator_backward.h 2024-08-20T21:38:17.9974753Z inflating: build/lib/torch/include/ATen/ops/affine_grid_generator_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:17.9976932Z inflating: build/lib/torch/include/ATen/ops/affine_grid_generator_backward_native.h 2024-08-20T21:38:17.9978724Z inflating: build/lib/torch/include/ATen/ops/affine_grid_generator_backward_ops.h 2024-08-20T21:38:17.9980802Z inflating: build/lib/torch/include/ATen/ops/affine_grid_generator_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9982788Z inflating: build/lib/torch/include/ATen/ops/affine_grid_generator_native.h 2024-08-20T21:38:17.9984257Z inflating: build/lib/torch/include/ATen/ops/affine_grid_generator_ops.h 2024-08-20T21:38:17.9984963Z inflating: build/lib/torch/include/ATen/ops/alias.h 2024-08-20T21:38:17.9986199Z inflating: build/lib/torch/include/ATen/ops/alias_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9987615Z inflating: build/lib/torch/include/ATen/ops/alias_copy.h 2024-08-20T21:38:17.9989236Z inflating: build/lib/torch/include/ATen/ops/alias_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:17.9991458Z inflating: build/lib/torch/include/ATen/ops/alias_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:17.9993352Z inflating: build/lib/torch/include/ATen/ops/alias_copy_native.h 2024-08-20T21:38:17.9994660Z inflating: build/lib/torch/include/ATen/ops/alias_copy_ops.h 2024-08-20T21:38:17.9995887Z inflating: build/lib/torch/include/ATen/ops/alias_native.h 2024-08-20T21:38:17.9997157Z inflating: build/lib/torch/include/ATen/ops/alias_ops.h 2024-08-20T21:38:17.9998273Z inflating: build/lib/torch/include/ATen/ops/align_as.h 2024-08-20T21:38:17.9999831Z inflating: build/lib/torch/include/ATen/ops/align_as_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0001477Z inflating: build/lib/torch/include/ATen/ops/align_as_native.h 2024-08-20T21:38:18.0002707Z inflating: build/lib/torch/include/ATen/ops/align_as_ops.h 2024-08-20T21:38:18.0003855Z inflating: build/lib/torch/include/ATen/ops/align_tensors.h 2024-08-20T21:38:18.0005473Z inflating: build/lib/torch/include/ATen/ops/align_tensors_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0007245Z inflating: build/lib/torch/include/ATen/ops/align_tensors_native.h 2024-08-20T21:38:18.0008607Z inflating: build/lib/torch/include/ATen/ops/align_tensors_ops.h 2024-08-20T21:38:18.0009813Z inflating: build/lib/torch/include/ATen/ops/align_to.h 2024-08-20T21:38:18.0011364Z inflating: build/lib/torch/include/ATen/ops/align_to_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0013030Z inflating: build/lib/torch/include/ATen/ops/align_to_native.h 2024-08-20T21:38:18.0014263Z inflating: build/lib/torch/include/ATen/ops/align_to_ops.h 2024-08-20T21:38:18.0015369Z inflating: build/lib/torch/include/ATen/ops/all.h 2024-08-20T21:38:18.0016816Z inflating: build/lib/torch/include/ATen/ops/all_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0018872Z inflating: build/lib/torch/include/ATen/ops/all_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0020983Z inflating: build/lib/torch/include/ATen/ops/all_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0022510Z inflating: build/lib/torch/include/ATen/ops/all_cpu_dispatch.h 2024-08-20T21:38:18.0023835Z inflating: build/lib/torch/include/ATen/ops/all_cuda_dispatch.h 2024-08-20T21:38:18.0025049Z inflating: build/lib/torch/include/ATen/ops/all_meta.h 2024-08-20T21:38:18.0026427Z inflating: build/lib/torch/include/ATen/ops/all_meta_dispatch.h 2024-08-20T21:38:18.0027117Z inflating: build/lib/torch/include/ATen/ops/all_native.h 2024-08-20T21:38:18.0027766Z inflating: build/lib/torch/include/ATen/ops/all_ops.h 2024-08-20T21:38:18.0028857Z inflating: build/lib/torch/include/ATen/ops/allclose.h 2024-08-20T21:38:18.0030445Z inflating: build/lib/torch/include/ATen/ops/allclose_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0032085Z inflating: build/lib/torch/include/ATen/ops/allclose_native.h 2024-08-20T21:38:18.0033322Z inflating: build/lib/torch/include/ATen/ops/allclose_ops.h 2024-08-20T21:38:18.0034543Z inflating: build/lib/torch/include/ATen/ops/alpha_dropout.h 2024-08-20T21:38:18.0036224Z inflating: build/lib/torch/include/ATen/ops/alpha_dropout_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0038004Z inflating: build/lib/torch/include/ATen/ops/alpha_dropout_native.h 2024-08-20T21:38:18.0039406Z inflating: build/lib/torch/include/ATen/ops/alpha_dropout_ops.h 2024-08-20T21:38:18.0040748Z inflating: build/lib/torch/include/ATen/ops/amax.h 2024-08-20T21:38:18.0042438Z inflating: build/lib/torch/include/ATen/ops/amax_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0044130Z inflating: build/lib/torch/include/ATen/ops/amax_cpu_dispatch.h 2024-08-20T21:38:18.0045498Z inflating: build/lib/torch/include/ATen/ops/amax_cuda_dispatch.h 2024-08-20T21:38:18.0046724Z inflating: build/lib/torch/include/ATen/ops/amax_meta.h 2024-08-20T21:38:18.0047970Z inflating: build/lib/torch/include/ATen/ops/amax_meta_dispatch.h 2024-08-20T21:38:18.0049221Z inflating: build/lib/torch/include/ATen/ops/amax_native.h 2024-08-20T21:38:18.0050347Z inflating: build/lib/torch/include/ATen/ops/amax_ops.h 2024-08-20T21:38:18.0051405Z inflating: build/lib/torch/include/ATen/ops/amin.h 2024-08-20T21:38:18.0053070Z inflating: build/lib/torch/include/ATen/ops/amin_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0055021Z inflating: build/lib/torch/include/ATen/ops/amin_cpu_dispatch.h 2024-08-20T21:38:18.0056376Z inflating: build/lib/torch/include/ATen/ops/amin_cuda_dispatch.h 2024-08-20T21:38:18.0057607Z inflating: build/lib/torch/include/ATen/ops/amin_meta.h 2024-08-20T21:38:18.0058845Z inflating: build/lib/torch/include/ATen/ops/amin_meta_dispatch.h 2024-08-20T21:38:18.0060201Z inflating: build/lib/torch/include/ATen/ops/amin_native.h 2024-08-20T21:38:18.0061342Z inflating: build/lib/torch/include/ATen/ops/amin_ops.h 2024-08-20T21:38:18.0062438Z inflating: build/lib/torch/include/ATen/ops/aminmax.h 2024-08-20T21:38:18.0064147Z inflating: build/lib/torch/include/ATen/ops/aminmax_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0066053Z inflating: build/lib/torch/include/ATen/ops/aminmax_cpu_dispatch.h 2024-08-20T21:38:18.0067499Z inflating: build/lib/torch/include/ATen/ops/aminmax_cuda_dispatch.h 2024-08-20T21:38:18.0068818Z inflating: build/lib/torch/include/ATen/ops/aminmax_meta.h 2024-08-20T21:38:18.0070132Z inflating: build/lib/torch/include/ATen/ops/aminmax_meta_dispatch.h 2024-08-20T21:38:18.0071501Z inflating: build/lib/torch/include/ATen/ops/aminmax_native.h 2024-08-20T21:38:18.0072713Z inflating: build/lib/torch/include/ATen/ops/aminmax_ops.h 2024-08-20T21:38:18.0073813Z inflating: build/lib/torch/include/ATen/ops/and.h 2024-08-20T21:38:18.0075248Z inflating: build/lib/torch/include/ATen/ops/and_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0076779Z inflating: build/lib/torch/include/ATen/ops/and_native.h 2024-08-20T21:38:18.0077882Z inflating: build/lib/torch/include/ATen/ops/and_ops.h 2024-08-20T21:38:18.0078939Z inflating: build/lib/torch/include/ATen/ops/angle.h 2024-08-20T21:38:18.0080186Z inflating: build/lib/torch/include/ATen/ops/angle_cpu_dispatch.h 2024-08-20T21:38:18.0081364Z inflating: build/lib/torch/include/ATen/ops/angle_cuda_dispatch.h 2024-08-20T21:38:18.0082656Z inflating: build/lib/torch/include/ATen/ops/angle_native.h 2024-08-20T21:38:18.0083837Z inflating: build/lib/torch/include/ATen/ops/angle_ops.h 2024-08-20T21:38:18.0084897Z inflating: build/lib/torch/include/ATen/ops/any.h 2024-08-20T21:38:18.0086329Z inflating: build/lib/torch/include/ATen/ops/any_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0088390Z inflating: build/lib/torch/include/ATen/ops/any_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0090518Z inflating: build/lib/torch/include/ATen/ops/any_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0092105Z inflating: build/lib/torch/include/ATen/ops/any_cpu_dispatch.h 2024-08-20T21:38:18.0093414Z inflating: build/lib/torch/include/ATen/ops/any_cuda_dispatch.h 2024-08-20T21:38:18.0094650Z inflating: build/lib/torch/include/ATen/ops/any_meta.h 2024-08-20T21:38:18.0095845Z inflating: build/lib/torch/include/ATen/ops/any_meta_dispatch.h 2024-08-20T21:38:18.0097101Z inflating: build/lib/torch/include/ATen/ops/any_native.h 2024-08-20T21:38:18.0098334Z inflating: build/lib/torch/include/ATen/ops/any_ops.h 2024-08-20T21:38:18.0099395Z inflating: build/lib/torch/include/ATen/ops/arange.h 2024-08-20T21:38:18.0100998Z inflating: build/lib/torch/include/ATen/ops/arange_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0102682Z inflating: build/lib/torch/include/ATen/ops/arange_cpu_dispatch.h 2024-08-20T21:38:18.0104063Z inflating: build/lib/torch/include/ATen/ops/arange_cuda_dispatch.h 2024-08-20T21:38:18.0105481Z inflating: build/lib/torch/include/ATen/ops/arange_meta_dispatch.h 2024-08-20T21:38:18.0106799Z inflating: build/lib/torch/include/ATen/ops/arange_native.h 2024-08-20T21:38:18.0107994Z inflating: build/lib/torch/include/ATen/ops/arange_ops.h 2024-08-20T21:38:18.0109089Z inflating: build/lib/torch/include/ATen/ops/arccos.h 2024-08-20T21:38:18.0110610Z inflating: build/lib/torch/include/ATen/ops/arccos_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0112319Z inflating: build/lib/torch/include/ATen/ops/arccos_native.h 2024-08-20T21:38:18.0113529Z inflating: build/lib/torch/include/ATen/ops/arccos_ops.h 2024-08-20T21:38:18.0114652Z inflating: build/lib/torch/include/ATen/ops/arccosh.h 2024-08-20T21:38:18.0116199Z inflating: build/lib/torch/include/ATen/ops/arccosh_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0117526Z inflating: build/lib/torch/include/ATen/ops/arccosh_native.h 2024-08-20T21:38:18.0118757Z inflating: build/lib/torch/include/ATen/ops/arccosh_ops.h 2024-08-20T21:38:18.0119881Z inflating: build/lib/torch/include/ATen/ops/arcsin.h 2024-08-20T21:38:18.0121403Z inflating: build/lib/torch/include/ATen/ops/arcsin_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0123019Z inflating: build/lib/torch/include/ATen/ops/arcsin_native.h 2024-08-20T21:38:18.0124232Z inflating: build/lib/torch/include/ATen/ops/arcsin_ops.h 2024-08-20T21:38:18.0125360Z inflating: build/lib/torch/include/ATen/ops/arcsinh.h 2024-08-20T21:38:18.0127023Z inflating: build/lib/torch/include/ATen/ops/arcsinh_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0128501Z inflating: build/lib/torch/include/ATen/ops/arcsinh_native.h 2024-08-20T21:38:18.0129730Z inflating: build/lib/torch/include/ATen/ops/arcsinh_ops.h 2024-08-20T21:38:18.0130840Z inflating: build/lib/torch/include/ATen/ops/arctan.h 2024-08-20T21:38:18.0131927Z inflating: build/lib/torch/include/ATen/ops/arctan2.h 2024-08-20T21:38:18.0133484Z inflating: build/lib/torch/include/ATen/ops/arctan2_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0135095Z inflating: build/lib/torch/include/ATen/ops/arctan2_native.h 2024-08-20T21:38:18.0136321Z inflating: build/lib/torch/include/ATen/ops/arctan2_ops.h 2024-08-20T21:38:18.0137864Z inflating: build/lib/torch/include/ATen/ops/arctan_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0139481Z inflating: build/lib/torch/include/ATen/ops/arctan_native.h 2024-08-20T21:38:18.0140746Z inflating: build/lib/torch/include/ATen/ops/arctan_ops.h 2024-08-20T21:38:18.0141870Z inflating: build/lib/torch/include/ATen/ops/arctanh.h 2024-08-20T21:38:18.0143423Z inflating: build/lib/torch/include/ATen/ops/arctanh_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0145050Z inflating: build/lib/torch/include/ATen/ops/arctanh_native.h 2024-08-20T21:38:18.0146274Z inflating: build/lib/torch/include/ATen/ops/arctanh_ops.h 2024-08-20T21:38:18.0147404Z inflating: build/lib/torch/include/ATen/ops/argmax.h 2024-08-20T21:38:18.0149092Z inflating: build/lib/torch/include/ATen/ops/argmax_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0150958Z inflating: build/lib/torch/include/ATen/ops/argmax_cpu_dispatch.h 2024-08-20T21:38:18.0152371Z inflating: build/lib/torch/include/ATen/ops/argmax_cuda_dispatch.h 2024-08-20T21:38:18.0153650Z inflating: build/lib/torch/include/ATen/ops/argmax_meta.h 2024-08-20T21:38:18.0154757Z inflating: build/lib/torch/include/ATen/ops/argmax_meta_dispatch.h 2024-08-20T21:38:18.0156262Z inflating: build/lib/torch/include/ATen/ops/argmax_native.h 2024-08-20T21:38:18.0157451Z inflating: build/lib/torch/include/ATen/ops/argmax_ops.h 2024-08-20T21:38:18.0158568Z inflating: build/lib/torch/include/ATen/ops/argmin.h 2024-08-20T21:38:18.0160266Z inflating: build/lib/torch/include/ATen/ops/argmin_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0162117Z inflating: build/lib/torch/include/ATen/ops/argmin_cpu_dispatch.h 2024-08-20T21:38:18.0163488Z inflating: build/lib/torch/include/ATen/ops/argmin_cuda_dispatch.h 2024-08-20T21:38:18.0164783Z inflating: build/lib/torch/include/ATen/ops/argmin_meta.h 2024-08-20T21:38:18.0166080Z inflating: build/lib/torch/include/ATen/ops/argmin_meta_dispatch.h 2024-08-20T21:38:18.0167386Z inflating: build/lib/torch/include/ATen/ops/argmin_native.h 2024-08-20T21:38:18.0168721Z inflating: build/lib/torch/include/ATen/ops/argmin_ops.h 2024-08-20T21:38:18.0169861Z inflating: build/lib/torch/include/ATen/ops/argsort.h 2024-08-20T21:38:18.0171381Z inflating: build/lib/torch/include/ATen/ops/argsort_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0173020Z inflating: build/lib/torch/include/ATen/ops/argsort_native.h 2024-08-20T21:38:18.0174244Z inflating: build/lib/torch/include/ATen/ops/argsort_ops.h 2024-08-20T21:38:18.0175383Z inflating: build/lib/torch/include/ATen/ops/argwhere.h 2024-08-20T21:38:18.0176935Z inflating: build/lib/torch/include/ATen/ops/argwhere_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0178595Z inflating: build/lib/torch/include/ATen/ops/argwhere_native.h 2024-08-20T21:38:18.0179914Z inflating: build/lib/torch/include/ATen/ops/argwhere_ops.h 2024-08-20T21:38:18.0181095Z inflating: build/lib/torch/include/ATen/ops/as_strided.h 2024-08-20T21:38:18.0182859Z inflating: build/lib/torch/include/ATen/ops/as_strided_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0184711Z inflating: build/lib/torch/include/ATen/ops/as_strided_copy.h 2024-08-20T21:38:18.0186399Z inflating: build/lib/torch/include/ATen/ops/as_strided_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0188729Z inflating: build/lib/torch/include/ATen/ops/as_strided_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0190598Z inflating: build/lib/torch/include/ATen/ops/as_strided_copy_native.h 2024-08-20T21:38:18.0192022Z inflating: build/lib/torch/include/ATen/ops/as_strided_copy_ops.h 2024-08-20T21:38:18.0193427Z inflating: build/lib/torch/include/ATen/ops/as_strided_cpu_dispatch.h 2024-08-20T21:38:18.0194923Z inflating: build/lib/torch/include/ATen/ops/as_strided_cuda_dispatch.h 2024-08-20T21:38:18.0196446Z inflating: build/lib/torch/include/ATen/ops/as_strided_meta_dispatch.h 2024-08-20T21:38:18.0197851Z inflating: build/lib/torch/include/ATen/ops/as_strided_native.h 2024-08-20T21:38:18.0199166Z inflating: build/lib/torch/include/ATen/ops/as_strided_ops.h 2024-08-20T21:38:18.0200406Z inflating: build/lib/torch/include/ATen/ops/as_strided_scatter.h 2024-08-20T21:38:18.0202182Z inflating: build/lib/torch/include/ATen/ops/as_strided_scatter_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0204577Z inflating: build/lib/torch/include/ATen/ops/as_strided_scatter_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0206613Z inflating: build/lib/torch/include/ATen/ops/as_strided_scatter_native.h 2024-08-20T21:38:18.0208116Z inflating: build/lib/torch/include/ATen/ops/as_strided_scatter_ops.h 2024-08-20T21:38:18.0209347Z inflating: build/lib/torch/include/ATen/ops/asin.h 2024-08-20T21:38:18.0211007Z inflating: build/lib/torch/include/ATen/ops/asin_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0212818Z inflating: build/lib/torch/include/ATen/ops/asin_cpu_dispatch.h 2024-08-20T21:38:18.0214164Z inflating: build/lib/torch/include/ATen/ops/asin_cuda_dispatch.h 2024-08-20T21:38:18.0215512Z inflating: build/lib/torch/include/ATen/ops/asin_meta.h 2024-08-20T21:38:18.0216765Z inflating: build/lib/torch/include/ATen/ops/asin_meta_dispatch.h 2024-08-20T21:38:18.0218022Z inflating: build/lib/torch/include/ATen/ops/asin_native.h 2024-08-20T21:38:18.0219152Z inflating: build/lib/torch/include/ATen/ops/asin_ops.h 2024-08-20T21:38:18.0220305Z inflating: build/lib/torch/include/ATen/ops/asinh.h 2024-08-20T21:38:18.0221967Z inflating: build/lib/torch/include/ATen/ops/asinh_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0223793Z inflating: build/lib/torch/include/ATen/ops/asinh_cpu_dispatch.h 2024-08-20T21:38:18.0225172Z inflating: build/lib/torch/include/ATen/ops/asinh_cuda_dispatch.h 2024-08-20T21:38:18.0226572Z inflating: build/lib/torch/include/ATen/ops/asinh_meta.h 2024-08-20T21:38:18.0227654Z inflating: build/lib/torch/include/ATen/ops/asinh_meta_dispatch.h 2024-08-20T21:38:18.0229110Z inflating: build/lib/torch/include/ATen/ops/asinh_native.h 2024-08-20T21:38:18.0230288Z inflating: build/lib/torch/include/ATen/ops/asinh_ops.h 2024-08-20T21:38:18.0231351Z inflating: build/lib/torch/include/ATen/ops/atan.h 2024-08-20T21:38:18.0232388Z inflating: build/lib/torch/include/ATen/ops/atan2.h 2024-08-20T21:38:18.0234073Z inflating: build/lib/torch/include/ATen/ops/atan2_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0235888Z inflating: build/lib/torch/include/ATen/ops/atan2_cpu_dispatch.h 2024-08-20T21:38:18.0237263Z inflating: build/lib/torch/include/ATen/ops/atan2_cuda_dispatch.h 2024-08-20T21:38:18.0238541Z inflating: build/lib/torch/include/ATen/ops/atan2_meta.h 2024-08-20T21:38:18.0239782Z inflating: build/lib/torch/include/ATen/ops/atan2_meta_dispatch.h 2024-08-20T21:38:18.0241064Z inflating: build/lib/torch/include/ATen/ops/atan2_native.h 2024-08-20T21:38:18.0242248Z inflating: build/lib/torch/include/ATen/ops/atan2_ops.h 2024-08-20T21:38:18.0243969Z inflating: build/lib/torch/include/ATen/ops/atan_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0245761Z inflating: build/lib/torch/include/ATen/ops/atan_cpu_dispatch.h 2024-08-20T21:38:18.0247116Z inflating: build/lib/torch/include/ATen/ops/atan_cuda_dispatch.h 2024-08-20T21:38:18.0248357Z inflating: build/lib/torch/include/ATen/ops/atan_meta.h 2024-08-20T21:38:18.0249591Z inflating: build/lib/torch/include/ATen/ops/atan_meta_dispatch.h 2024-08-20T21:38:18.0250857Z inflating: build/lib/torch/include/ATen/ops/atan_native.h 2024-08-20T21:38:18.0251987Z inflating: build/lib/torch/include/ATen/ops/atan_ops.h 2024-08-20T21:38:18.0253051Z inflating: build/lib/torch/include/ATen/ops/atanh.h 2024-08-20T21:38:18.0254731Z inflating: build/lib/torch/include/ATen/ops/atanh_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0256599Z inflating: build/lib/torch/include/ATen/ops/atanh_cpu_dispatch.h 2024-08-20T21:38:18.0257971Z inflating: build/lib/torch/include/ATen/ops/atanh_cuda_dispatch.h 2024-08-20T21:38:18.0259243Z inflating: build/lib/torch/include/ATen/ops/atanh_meta.h 2024-08-20T21:38:18.0260577Z inflating: build/lib/torch/include/ATen/ops/atanh_meta_dispatch.h 2024-08-20T21:38:18.0261871Z inflating: build/lib/torch/include/ATen/ops/atanh_native.h 2024-08-20T21:38:18.0263033Z inflating: build/lib/torch/include/ATen/ops/atanh_ops.h 2024-08-20T21:38:18.0264201Z inflating: build/lib/torch/include/ATen/ops/atleast_1d.h 2024-08-20T21:38:18.0265631Z inflating: build/lib/torch/include/ATen/ops/atleast_1d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0267321Z inflating: build/lib/torch/include/ATen/ops/atleast_1d_native.h 2024-08-20T21:38:18.0268635Z inflating: build/lib/torch/include/ATen/ops/atleast_1d_ops.h 2024-08-20T21:38:18.0269763Z inflating: build/lib/torch/include/ATen/ops/atleast_2d.h 2024-08-20T21:38:18.0271361Z inflating: build/lib/torch/include/ATen/ops/atleast_2d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0273250Z inflating: build/lib/torch/include/ATen/ops/atleast_2d_native.h 2024-08-20T21:38:18.0274564Z inflating: build/lib/torch/include/ATen/ops/atleast_2d_ops.h 2024-08-20T21:38:18.0275775Z inflating: build/lib/torch/include/ATen/ops/atleast_3d.h 2024-08-20T21:38:18.0277377Z inflating: build/lib/torch/include/ATen/ops/atleast_3d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0280854Z inflating: build/lib/torch/include/ATen/ops/atleast_3d_native.h 2024-08-20T21:38:18.0282158Z inflating: build/lib/torch/include/ATen/ops/atleast_3d_ops.h 2024-08-20T21:38:18.0283358Z inflating: build/lib/torch/include/ATen/ops/avg_pool1d.h 2024-08-20T21:38:18.0284950Z inflating: build/lib/torch/include/ATen/ops/avg_pool1d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0286672Z inflating: build/lib/torch/include/ATen/ops/avg_pool1d_native.h 2024-08-20T21:38:18.0288060Z inflating: build/lib/torch/include/ATen/ops/avg_pool1d_ops.h 2024-08-20T21:38:18.0289284Z inflating: build/lib/torch/include/ATen/ops/avg_pool2d.h 2024-08-20T21:38:18.0290557Z inflating: build/lib/torch/include/ATen/ops/avg_pool2d_backward.h 2024-08-20T21:38:18.0292557Z inflating: build/lib/torch/include/ATen/ops/avg_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0294727Z inflating: build/lib/torch/include/ATen/ops/avg_pool2d_backward_cpu_dispatch.h 2024-08-20T21:38:18.0296457Z inflating: build/lib/torch/include/ATen/ops/avg_pool2d_backward_cuda_dispatch.h 2024-08-20T21:38:18.0298125Z inflating: build/lib/torch/include/ATen/ops/avg_pool2d_backward_meta.h 2024-08-20T21:38:18.0299733Z inflating: build/lib/torch/include/ATen/ops/avg_pool2d_backward_meta_dispatch.h 2024-08-20T21:38:18.0301461Z inflating: build/lib/torch/include/ATen/ops/avg_pool2d_backward_native.h 2024-08-20T21:38:18.0302826Z inflating: build/lib/torch/include/ATen/ops/avg_pool2d_backward_ops.h 2024-08-20T21:38:18.0304789Z inflating: build/lib/torch/include/ATen/ops/avg_pool2d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0306733Z inflating: build/lib/torch/include/ATen/ops/avg_pool2d_cpu_dispatch.h 2024-08-20T21:38:18.0308256Z inflating: build/lib/torch/include/ATen/ops/avg_pool2d_cuda_dispatch.h 2024-08-20T21:38:18.0309705Z inflating: build/lib/torch/include/ATen/ops/avg_pool2d_meta.h 2024-08-20T21:38:18.0311094Z inflating: build/lib/torch/include/ATen/ops/avg_pool2d_meta_dispatch.h 2024-08-20T21:38:18.0312517Z inflating: build/lib/torch/include/ATen/ops/avg_pool2d_native.h 2024-08-20T21:38:18.0313831Z inflating: build/lib/torch/include/ATen/ops/avg_pool2d_ops.h 2024-08-20T21:38:18.0315029Z inflating: build/lib/torch/include/ATen/ops/avg_pool3d.h 2024-08-20T21:38:18.0316297Z inflating: build/lib/torch/include/ATen/ops/avg_pool3d_backward.h 2024-08-20T21:38:18.0318308Z inflating: build/lib/torch/include/ATen/ops/avg_pool3d_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0320452Z inflating: build/lib/torch/include/ATen/ops/avg_pool3d_backward_cpu_dispatch.h 2024-08-20T21:38:18.0322183Z inflating: build/lib/torch/include/ATen/ops/avg_pool3d_backward_cuda_dispatch.h 2024-08-20T21:38:18.0323821Z inflating: build/lib/torch/include/ATen/ops/avg_pool3d_backward_meta.h 2024-08-20T21:38:18.0325433Z inflating: build/lib/torch/include/ATen/ops/avg_pool3d_backward_meta_dispatch.h 2024-08-20T21:38:18.0327106Z inflating: build/lib/torch/include/ATen/ops/avg_pool3d_backward_native.h 2024-08-20T21:38:18.0328029Z inflating: build/lib/torch/include/ATen/ops/avg_pool3d_backward_ops.h 2024-08-20T21:38:18.0329181Z inflating: build/lib/torch/include/ATen/ops/avg_pool3d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0330306Z inflating: build/lib/torch/include/ATen/ops/avg_pool3d_cpu_dispatch.h 2024-08-20T21:38:18.0331235Z inflating: build/lib/torch/include/ATen/ops/avg_pool3d_cuda_dispatch.h 2024-08-20T21:38:18.0332257Z inflating: build/lib/torch/include/ATen/ops/avg_pool3d_meta.h 2024-08-20T21:38:18.0333049Z inflating: build/lib/torch/include/ATen/ops/avg_pool3d_meta_dispatch.h 2024-08-20T21:38:18.0333865Z inflating: build/lib/torch/include/ATen/ops/avg_pool3d_native.h 2024-08-20T21:38:18.0334666Z inflating: build/lib/torch/include/ATen/ops/avg_pool3d_ops.h 2024-08-20T21:38:18.0335338Z inflating: build/lib/torch/include/ATen/ops/baddbmm.h 2024-08-20T21:38:18.0336310Z inflating: build/lib/torch/include/ATen/ops/baddbmm_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0337412Z inflating: build/lib/torch/include/ATen/ops/baddbmm_cpu_dispatch.h 2024-08-20T21:38:18.0338261Z inflating: build/lib/torch/include/ATen/ops/baddbmm_cuda_dispatch.h 2024-08-20T21:38:18.0339060Z inflating: build/lib/torch/include/ATen/ops/baddbmm_meta.h 2024-08-20T21:38:18.0339504Z inflating: build/lib/torch/include/ATen/ops/baddbmm_meta_dispatch.h 2024-08-20T21:38:18.0339851Z inflating: build/lib/torch/include/ATen/ops/baddbmm_native.h 2024-08-20T21:38:18.0340089Z inflating: build/lib/torch/include/ATen/ops/baddbmm_ops.h 2024-08-20T21:38:18.0340391Z inflating: build/lib/torch/include/ATen/ops/bartlett_window.h 2024-08-20T21:38:18.0340956Z inflating: build/lib/torch/include/ATen/ops/bartlett_window_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0341270Z inflating: build/lib/torch/include/ATen/ops/bartlett_window_native.h 2024-08-20T21:38:18.0341610Z inflating: build/lib/torch/include/ATen/ops/bartlett_window_ops.h 2024-08-20T21:38:18.0341837Z inflating: build/lib/torch/include/ATen/ops/batch_norm.h 2024-08-20T21:38:18.0342160Z inflating: build/lib/torch/include/ATen/ops/batch_norm_backward.h 2024-08-20T21:38:18.0342555Z inflating: build/lib/torch/include/ATen/ops/batch_norm_backward_cpu_dispatch.h 2024-08-20T21:38:18.0342966Z inflating: build/lib/torch/include/ATen/ops/batch_norm_backward_cuda_dispatch.h 2024-08-20T21:38:18.0343350Z inflating: build/lib/torch/include/ATen/ops/batch_norm_backward_elemt.h 2024-08-20T21:38:18.0343963Z inflating: build/lib/torch/include/ATen/ops/batch_norm_backward_elemt_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0344422Z inflating: build/lib/torch/include/ATen/ops/batch_norm_backward_elemt_cuda_dispatch.h 2024-08-20T21:38:18.0344810Z inflating: build/lib/torch/include/ATen/ops/batch_norm_backward_elemt_native.h 2024-08-20T21:38:18.0345198Z inflating: build/lib/torch/include/ATen/ops/batch_norm_backward_elemt_ops.h 2024-08-20T21:38:18.0345572Z inflating: build/lib/torch/include/ATen/ops/batch_norm_backward_native.h 2024-08-20T21:38:18.0345903Z inflating: build/lib/torch/include/ATen/ops/batch_norm_backward_ops.h 2024-08-20T21:38:18.0346277Z inflating: build/lib/torch/include/ATen/ops/batch_norm_backward_reduce.h 2024-08-20T21:38:18.0346888Z inflating: build/lib/torch/include/ATen/ops/batch_norm_backward_reduce_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0347373Z inflating: build/lib/torch/include/ATen/ops/batch_norm_backward_reduce_cuda_dispatch.h 2024-08-20T21:38:18.0347787Z inflating: build/lib/torch/include/ATen/ops/batch_norm_backward_reduce_native.h 2024-08-20T21:38:18.0348202Z inflating: build/lib/torch/include/ATen/ops/batch_norm_backward_reduce_ops.h 2024-08-20T21:38:18.0348711Z inflating: build/lib/torch/include/ATen/ops/batch_norm_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0349020Z inflating: build/lib/torch/include/ATen/ops/batch_norm_elemt.h 2024-08-20T21:38:18.0349414Z inflating: build/lib/torch/include/ATen/ops/batch_norm_elemt_cuda_dispatch.h 2024-08-20T21:38:18.0349742Z inflating: build/lib/torch/include/ATen/ops/batch_norm_elemt_native.h 2024-08-20T21:38:18.0350037Z inflating: build/lib/torch/include/ATen/ops/batch_norm_elemt_ops.h 2024-08-20T21:38:18.0350407Z inflating: build/lib/torch/include/ATen/ops/batch_norm_gather_stats.h 2024-08-20T21:38:18.0351069Z inflating: build/lib/torch/include/ATen/ops/batch_norm_gather_stats_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0351528Z inflating: build/lib/torch/include/ATen/ops/batch_norm_gather_stats_cuda_dispatch.h 2024-08-20T21:38:18.0352073Z inflating: build/lib/torch/include/ATen/ops/batch_norm_gather_stats_native.h 2024-08-20T21:38:18.0352460Z inflating: build/lib/torch/include/ATen/ops/batch_norm_gather_stats_ops.h 2024-08-20T21:38:18.0352864Z inflating: build/lib/torch/include/ATen/ops/batch_norm_gather_stats_with_counts.h 2024-08-20T21:38:18.0353555Z inflating: build/lib/torch/include/ATen/ops/batch_norm_gather_stats_with_counts_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0354053Z inflating: build/lib/torch/include/ATen/ops/batch_norm_gather_stats_with_counts_cuda_dispatch.h 2024-08-20T21:38:18.0354549Z inflating: build/lib/torch/include/ATen/ops/batch_norm_gather_stats_with_counts_native.h 2024-08-20T21:38:18.0355029Z inflating: build/lib/torch/include/ATen/ops/batch_norm_gather_stats_with_counts_ops.h 2024-08-20T21:38:18.0355365Z inflating: build/lib/torch/include/ATen/ops/batch_norm_native.h 2024-08-20T21:38:18.0355647Z inflating: build/lib/torch/include/ATen/ops/batch_norm_ops.h 2024-08-20T21:38:18.0355931Z inflating: build/lib/torch/include/ATen/ops/batch_norm_stats.h 2024-08-20T21:38:18.0356589Z inflating: build/lib/torch/include/ATen/ops/batch_norm_stats_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0356998Z inflating: build/lib/torch/include/ATen/ops/batch_norm_stats_cuda_dispatch.h 2024-08-20T21:38:18.0357311Z inflating: build/lib/torch/include/ATen/ops/batch_norm_stats_native.h 2024-08-20T21:38:18.0357663Z inflating: build/lib/torch/include/ATen/ops/batch_norm_stats_ops.h 2024-08-20T21:38:18.0358014Z inflating: build/lib/torch/include/ATen/ops/batch_norm_update_stats.h 2024-08-20T21:38:18.0358616Z inflating: build/lib/torch/include/ATen/ops/batch_norm_update_stats_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0359033Z inflating: build/lib/torch/include/ATen/ops/batch_norm_update_stats_cpu_dispatch.h 2024-08-20T21:38:18.0359468Z inflating: build/lib/torch/include/ATen/ops/batch_norm_update_stats_cuda_dispatch.h 2024-08-20T21:38:18.0359884Z inflating: build/lib/torch/include/ATen/ops/batch_norm_update_stats_native.h 2024-08-20T21:38:18.0360234Z inflating: build/lib/torch/include/ATen/ops/batch_norm_update_stats_ops.h 2024-08-20T21:38:18.0360493Z inflating: build/lib/torch/include/ATen/ops/bernoulli.h 2024-08-20T21:38:18.0360977Z inflating: build/lib/torch/include/ATen/ops/bernoulli_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0361632Z inflating: build/lib/torch/include/ATen/ops/bernoulli_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0361961Z inflating: build/lib/torch/include/ATen/ops/bernoulli_cpu_dispatch.h 2024-08-20T21:38:18.0362313Z inflating: build/lib/torch/include/ATen/ops/bernoulli_cuda_dispatch.h 2024-08-20T21:38:18.0362654Z inflating: build/lib/torch/include/ATen/ops/bernoulli_meta_dispatch.h 2024-08-20T21:38:18.0362980Z inflating: build/lib/torch/include/ATen/ops/bernoulli_native.h 2024-08-20T21:38:18.0363234Z inflating: build/lib/torch/include/ATen/ops/bernoulli_ops.h 2024-08-20T21:38:18.0363491Z inflating: build/lib/torch/include/ATen/ops/bilinear.h 2024-08-20T21:38:18.0363967Z inflating: build/lib/torch/include/ATen/ops/bilinear_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0364313Z inflating: build/lib/torch/include/ATen/ops/bilinear_native.h 2024-08-20T21:38:18.0364558Z inflating: build/lib/torch/include/ATen/ops/bilinear_ops.h 2024-08-20T21:38:18.0364904Z inflating: build/lib/torch/include/ATen/ops/binary_cross_entropy.h 2024-08-20T21:38:18.0365301Z inflating: build/lib/torch/include/ATen/ops/binary_cross_entropy_backward.h 2024-08-20T21:38:18.0365755Z inflating: build/lib/torch/include/ATen/ops/binary_cross_entropy_backward_cpu_dispatch.h 2024-08-20T21:38:18.0366304Z inflating: build/lib/torch/include/ATen/ops/binary_cross_entropy_backward_cuda_dispatch.h 2024-08-20T21:38:18.0366747Z inflating: build/lib/torch/include/ATen/ops/binary_cross_entropy_backward_native.h 2024-08-20T21:38:18.0367142Z inflating: build/lib/torch/include/ATen/ops/binary_cross_entropy_backward_ops.h 2024-08-20T21:38:18.0367563Z inflating: build/lib/torch/include/ATen/ops/binary_cross_entropy_cpu_dispatch.h 2024-08-20T21:38:18.0367997Z inflating: build/lib/torch/include/ATen/ops/binary_cross_entropy_cuda_dispatch.h 2024-08-20T21:38:18.0368377Z inflating: build/lib/torch/include/ATen/ops/binary_cross_entropy_native.h 2024-08-20T21:38:18.0368746Z inflating: build/lib/torch/include/ATen/ops/binary_cross_entropy_ops.h 2024-08-20T21:38:18.0369134Z inflating: build/lib/torch/include/ATen/ops/binary_cross_entropy_with_logits.h 2024-08-20T21:38:18.0369811Z inflating: build/lib/torch/include/ATen/ops/binary_cross_entropy_with_logits_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0370335Z inflating: build/lib/torch/include/ATen/ops/binary_cross_entropy_with_logits_native.h 2024-08-20T21:38:18.0370748Z inflating: build/lib/torch/include/ATen/ops/binary_cross_entropy_with_logits_ops.h 2024-08-20T21:38:18.0370964Z inflating: build/lib/torch/include/ATen/ops/bincount.h 2024-08-20T21:38:18.0371466Z inflating: build/lib/torch/include/ATen/ops/bincount_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0371824Z inflating: build/lib/torch/include/ATen/ops/bincount_cpu_dispatch.h 2024-08-20T21:38:18.0372140Z inflating: build/lib/torch/include/ATen/ops/bincount_cuda_dispatch.h 2024-08-20T21:38:18.0372456Z inflating: build/lib/torch/include/ATen/ops/bincount_native.h 2024-08-20T21:38:18.0372697Z inflating: build/lib/torch/include/ATen/ops/bincount_ops.h 2024-08-20T21:38:18.0372951Z inflating: build/lib/torch/include/ATen/ops/binomial.h 2024-08-20T21:38:18.0373430Z inflating: build/lib/torch/include/ATen/ops/binomial_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0373777Z inflating: build/lib/torch/include/ATen/ops/binomial_cpu_dispatch.h 2024-08-20T21:38:18.0374126Z inflating: build/lib/torch/include/ATen/ops/binomial_cuda_dispatch.h 2024-08-20T21:38:18.0374402Z inflating: build/lib/torch/include/ATen/ops/binomial_native.h 2024-08-20T21:38:18.0374639Z inflating: build/lib/torch/include/ATen/ops/binomial_ops.h 2024-08-20T21:38:18.0374903Z inflating: build/lib/torch/include/ATen/ops/bitwise_and.h 2024-08-20T21:38:18.0375438Z inflating: build/lib/torch/include/ATen/ops/bitwise_and_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0376017Z inflating: build/lib/torch/include/ATen/ops/bitwise_and_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0376396Z inflating: build/lib/torch/include/ATen/ops/bitwise_and_cpu_dispatch.h 2024-08-20T21:38:18.0376773Z inflating: build/lib/torch/include/ATen/ops/bitwise_and_cuda_dispatch.h 2024-08-20T21:38:18.0377047Z inflating: build/lib/torch/include/ATen/ops/bitwise_and_meta.h 2024-08-20T21:38:18.0377435Z inflating: build/lib/torch/include/ATen/ops/bitwise_and_meta_dispatch.h 2024-08-20T21:38:18.0377717Z inflating: build/lib/torch/include/ATen/ops/bitwise_and_native.h 2024-08-20T21:38:18.0378015Z inflating: build/lib/torch/include/ATen/ops/bitwise_and_ops.h 2024-08-20T21:38:18.0378309Z inflating: build/lib/torch/include/ATen/ops/bitwise_left_shift.h 2024-08-20T21:38:18.0378866Z inflating: build/lib/torch/include/ATen/ops/bitwise_left_shift_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0379543Z inflating: build/lib/torch/include/ATen/ops/bitwise_left_shift_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0380003Z inflating: build/lib/torch/include/ATen/ops/bitwise_left_shift_cpu_dispatch.h 2024-08-20T21:38:18.0380423Z inflating: build/lib/torch/include/ATen/ops/bitwise_left_shift_cuda_dispatch.h 2024-08-20T21:38:18.0380801Z inflating: build/lib/torch/include/ATen/ops/bitwise_left_shift_meta.h 2024-08-20T21:38:18.0381263Z inflating: build/lib/torch/include/ATen/ops/bitwise_left_shift_meta_dispatch.h 2024-08-20T21:38:18.0381607Z inflating: build/lib/torch/include/ATen/ops/bitwise_left_shift_native.h 2024-08-20T21:38:18.0381976Z inflating: build/lib/torch/include/ATen/ops/bitwise_left_shift_ops.h 2024-08-20T21:38:18.0382210Z inflating: build/lib/torch/include/ATen/ops/bitwise_not.h 2024-08-20T21:38:18.0382891Z inflating: build/lib/torch/include/ATen/ops/bitwise_not_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0383220Z inflating: build/lib/torch/include/ATen/ops/bitwise_not_cpu_dispatch.h 2024-08-20T21:38:18.0383593Z inflating: build/lib/torch/include/ATen/ops/bitwise_not_cuda_dispatch.h 2024-08-20T21:38:18.0383874Z inflating: build/lib/torch/include/ATen/ops/bitwise_not_meta.h 2024-08-20T21:38:18.0384247Z inflating: build/lib/torch/include/ATen/ops/bitwise_not_meta_dispatch.h 2024-08-20T21:38:18.0384640Z inflating: build/lib/torch/include/ATen/ops/bitwise_not_native.h 2024-08-20T21:38:18.0384921Z inflating: build/lib/torch/include/ATen/ops/bitwise_not_ops.h 2024-08-20T21:38:18.0385187Z inflating: build/lib/torch/include/ATen/ops/bitwise_or.h 2024-08-20T21:38:18.0385663Z inflating: build/lib/torch/include/ATen/ops/bitwise_or_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0386327Z inflating: build/lib/torch/include/ATen/ops/bitwise_or_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0386646Z inflating: build/lib/torch/include/ATen/ops/bitwise_or_cpu_dispatch.h 2024-08-20T21:38:18.0387018Z inflating: build/lib/torch/include/ATen/ops/bitwise_or_cuda_dispatch.h 2024-08-20T21:38:18.0387278Z inflating: build/lib/torch/include/ATen/ops/bitwise_or_meta.h 2024-08-20T21:38:18.0387642Z inflating: build/lib/torch/include/ATen/ops/bitwise_or_meta_dispatch.h 2024-08-20T21:38:18.0387971Z inflating: build/lib/torch/include/ATen/ops/bitwise_or_native.h 2024-08-20T21:38:18.0388241Z inflating: build/lib/torch/include/ATen/ops/bitwise_or_ops.h 2024-08-20T21:38:18.0388529Z inflating: build/lib/torch/include/ATen/ops/bitwise_right_shift.h 2024-08-20T21:38:18.0389122Z inflating: build/lib/torch/include/ATen/ops/bitwise_right_shift_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0389764Z inflating: build/lib/torch/include/ATen/ops/bitwise_right_shift_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0390186Z inflating: build/lib/torch/include/ATen/ops/bitwise_right_shift_cpu_dispatch.h 2024-08-20T21:38:18.0390603Z inflating: build/lib/torch/include/ATen/ops/bitwise_right_shift_cuda_dispatch.h 2024-08-20T21:38:18.0390927Z inflating: build/lib/torch/include/ATen/ops/bitwise_right_shift_meta.h 2024-08-20T21:38:18.0391366Z inflating: build/lib/torch/include/ATen/ops/bitwise_right_shift_meta_dispatch.h 2024-08-20T21:38:18.0391741Z inflating: build/lib/torch/include/ATen/ops/bitwise_right_shift_native.h 2024-08-20T21:38:18.0392070Z inflating: build/lib/torch/include/ATen/ops/bitwise_right_shift_ops.h 2024-08-20T21:38:18.0392352Z inflating: build/lib/torch/include/ATen/ops/bitwise_xor.h 2024-08-20T21:38:18.0392874Z inflating: build/lib/torch/include/ATen/ops/bitwise_xor_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0393504Z inflating: build/lib/torch/include/ATen/ops/bitwise_xor_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0393877Z inflating: build/lib/torch/include/ATen/ops/bitwise_xor_cpu_dispatch.h 2024-08-20T21:38:18.0394214Z inflating: build/lib/torch/include/ATen/ops/bitwise_xor_cuda_dispatch.h 2024-08-20T21:38:18.0394534Z inflating: build/lib/torch/include/ATen/ops/bitwise_xor_meta.h 2024-08-20T21:38:18.0394895Z inflating: build/lib/torch/include/ATen/ops/bitwise_xor_meta_dispatch.h 2024-08-20T21:38:18.0395188Z inflating: build/lib/torch/include/ATen/ops/bitwise_xor_native.h 2024-08-20T21:38:18.0395506Z inflating: build/lib/torch/include/ATen/ops/bitwise_xor_ops.h 2024-08-20T21:38:18.0395865Z inflating: build/lib/torch/include/ATen/ops/blackman_window.h 2024-08-20T21:38:18.0396412Z inflating: build/lib/torch/include/ATen/ops/blackman_window_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0396777Z inflating: build/lib/torch/include/ATen/ops/blackman_window_native.h 2024-08-20T21:38:18.0397079Z inflating: build/lib/torch/include/ATen/ops/blackman_window_ops.h 2024-08-20T21:38:18.0397345Z inflating: build/lib/torch/include/ATen/ops/block_diag.h 2024-08-20T21:38:18.0397850Z inflating: build/lib/torch/include/ATen/ops/block_diag_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0398126Z inflating: build/lib/torch/include/ATen/ops/block_diag_native.h 2024-08-20T21:38:18.0398436Z inflating: build/lib/torch/include/ATen/ops/block_diag_ops.h 2024-08-20T21:38:18.0398629Z inflating: build/lib/torch/include/ATen/ops/bmm.h 2024-08-20T21:38:18.0399250Z inflating: build/lib/torch/include/ATen/ops/bmm_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0399575Z inflating: build/lib/torch/include/ATen/ops/bmm_cpu_dispatch.h 2024-08-20T21:38:18.0399852Z inflating: build/lib/torch/include/ATen/ops/bmm_cuda_dispatch.h 2024-08-20T21:38:18.0400114Z inflating: build/lib/torch/include/ATen/ops/bmm_meta.h 2024-08-20T21:38:18.0400392Z inflating: build/lib/torch/include/ATen/ops/bmm_meta_dispatch.h 2024-08-20T21:38:18.0400657Z inflating: build/lib/torch/include/ATen/ops/bmm_native.h 2024-08-20T21:38:18.0400880Z inflating: build/lib/torch/include/ATen/ops/bmm_ops.h 2024-08-20T21:38:18.0401204Z inflating: build/lib/torch/include/ATen/ops/broadcast_tensors.h 2024-08-20T21:38:18.0401758Z inflating: build/lib/torch/include/ATen/ops/broadcast_tensors_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0402097Z inflating: build/lib/torch/include/ATen/ops/broadcast_tensors_native.h 2024-08-20T21:38:18.0402367Z inflating: build/lib/torch/include/ATen/ops/cummin_ops.h 2024-08-20T21:38:18.0402684Z inflating: build/lib/torch/include/ATen/ops/broadcast_tensors_ops.h 2024-08-20T21:38:18.0402960Z inflating: build/lib/torch/include/ATen/ops/broadcast_to.h 2024-08-20T21:38:18.0403484Z inflating: build/lib/torch/include/ATen/ops/broadcast_to_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0403785Z inflating: build/lib/torch/include/ATen/ops/broadcast_to_native.h 2024-08-20T21:38:18.0404091Z inflating: build/lib/torch/include/ATen/ops/broadcast_to_ops.h 2024-08-20T21:38:18.0404315Z inflating: build/lib/torch/include/ATen/ops/bucketize.h 2024-08-20T21:38:18.0404835Z inflating: build/lib/torch/include/ATen/ops/bucketize_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0405187Z inflating: build/lib/torch/include/ATen/ops/bucketize_cpu_dispatch.h 2024-08-20T21:38:18.0405508Z inflating: build/lib/torch/include/ATen/ops/bucketize_cuda_dispatch.h 2024-08-20T21:38:18.0405832Z inflating: build/lib/torch/include/ATen/ops/bucketize_native.h 2024-08-20T21:38:18.0406100Z inflating: build/lib/torch/include/ATen/ops/bucketize_ops.h 2024-08-20T21:38:18.0406342Z inflating: build/lib/torch/include/ATen/ops/can_cast.h 2024-08-20T21:38:18.0406814Z inflating: build/lib/torch/include/ATen/ops/can_cast_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0407101Z inflating: build/lib/torch/include/ATen/ops/can_cast_native.h 2024-08-20T21:38:18.0407394Z inflating: build/lib/torch/include/ATen/ops/can_cast_ops.h 2024-08-20T21:38:18.0407654Z inflating: build/lib/torch/include/ATen/ops/cartesian_prod.h 2024-08-20T21:38:18.0408192Z inflating: build/lib/torch/include/ATen/ops/cartesian_prod_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0408551Z inflating: build/lib/torch/include/ATen/ops/cartesian_prod_native.h 2024-08-20T21:38:18.0408835Z inflating: build/lib/torch/include/ATen/ops/cartesian_prod_ops.h 2024-08-20T21:38:18.0409033Z inflating: build/lib/torch/include/ATen/ops/cat.h 2024-08-20T21:38:18.0409683Z inflating: build/lib/torch/include/ATen/ops/cat_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0410125Z inflating: build/lib/torch/include/ATen/ops/cat_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0410455Z inflating: build/lib/torch/include/ATen/ops/cat_cpu_dispatch.h 2024-08-20T21:38:18.0410736Z inflating: build/lib/torch/include/ATen/ops/cat_cuda_dispatch.h 2024-08-20T21:38:18.0410963Z inflating: build/lib/torch/include/ATen/ops/cat_meta.h 2024-08-20T21:38:18.0411280Z inflating: build/lib/torch/include/ATen/ops/cat_meta_dispatch.h 2024-08-20T21:38:18.0411544Z inflating: build/lib/torch/include/ATen/ops/cat_native.h 2024-08-20T21:38:18.0411754Z inflating: build/lib/torch/include/ATen/ops/cat_ops.h 2024-08-20T21:38:18.0411977Z inflating: build/lib/torch/include/ATen/ops/cauchy.h 2024-08-20T21:38:18.0412455Z inflating: build/lib/torch/include/ATen/ops/cauchy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0412839Z inflating: build/lib/torch/include/ATen/ops/cauchy_cpu_dispatch.h 2024-08-20T21:38:18.0413152Z inflating: build/lib/torch/include/ATen/ops/cauchy_cuda_dispatch.h 2024-08-20T21:38:18.0413486Z inflating: build/lib/torch/include/ATen/ops/cauchy_meta_dispatch.h 2024-08-20T21:38:18.0413750Z inflating: build/lib/torch/include/ATen/ops/cauchy_native.h 2024-08-20T21:38:18.0413975Z inflating: build/lib/torch/include/ATen/ops/cauchy_ops.h 2024-08-20T21:38:18.0414249Z inflating: build/lib/torch/include/ATen/ops/ccol_indices.h 2024-08-20T21:38:18.0414778Z inflating: build/lib/torch/include/ATen/ops/ccol_indices_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0415053Z inflating: build/lib/torch/include/ATen/ops/ccol_indices_copy.h 2024-08-20T21:38:18.0415602Z inflating: build/lib/torch/include/ATen/ops/ccol_indices_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0416259Z inflating: build/lib/torch/include/ATen/ops/ccol_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0416615Z inflating: build/lib/torch/include/ATen/ops/ccol_indices_copy_native.h 2024-08-20T21:38:18.0416943Z inflating: build/lib/torch/include/ATen/ops/ccol_indices_copy_ops.h 2024-08-20T21:38:18.0417228Z inflating: build/lib/torch/include/ATen/ops/ccol_indices_native.h 2024-08-20T21:38:18.0417534Z inflating: build/lib/torch/include/ATen/ops/ccol_indices_ops.h 2024-08-20T21:38:18.0417748Z inflating: build/lib/torch/include/ATen/ops/cdist.h 2024-08-20T21:38:18.0418208Z inflating: build/lib/torch/include/ATen/ops/cdist_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0418461Z inflating: build/lib/torch/include/ATen/ops/cdist_native.h 2024-08-20T21:38:18.0418735Z inflating: build/lib/torch/include/ATen/ops/cdist_ops.h 2024-08-20T21:38:18.0418928Z inflating: build/lib/torch/include/ATen/ops/ceil.h 2024-08-20T21:38:18.0419498Z inflating: build/lib/torch/include/ATen/ops/ceil_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0419945Z inflating: build/lib/torch/include/ATen/ops/ceil_cpu_dispatch.h 2024-08-20T21:38:18.0420229Z inflating: build/lib/torch/include/ATen/ops/ceil_cuda_dispatch.h 2024-08-20T21:38:18.0420509Z inflating: build/lib/torch/include/ATen/ops/ceil_meta.h 2024-08-20T21:38:18.0420947Z inflating: build/lib/torch/include/ATen/ops/ceil_meta_dispatch.h 2024-08-20T21:38:18.0421215Z inflating: build/lib/torch/include/ATen/ops/ceil_native.h 2024-08-20T21:38:18.0421463Z inflating: build/lib/torch/include/ATen/ops/ceil_ops.h 2024-08-20T21:38:18.0421676Z inflating: build/lib/torch/include/ATen/ops/celu.h 2024-08-20T21:38:18.0422146Z inflating: build/lib/torch/include/ATen/ops/celu_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0422391Z inflating: build/lib/torch/include/ATen/ops/celu_native.h 2024-08-20T21:38:18.0422643Z inflating: build/lib/torch/include/ATen/ops/celu_ops.h 2024-08-20T21:38:18.0422887Z inflating: build/lib/torch/include/ATen/ops/chain_matmul.h 2024-08-20T21:38:18.0423488Z inflating: build/lib/torch/include/ATen/ops/chain_matmul_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0423819Z inflating: build/lib/torch/include/ATen/ops/chain_matmul_native.h 2024-08-20T21:38:18.0424102Z inflating: build/lib/torch/include/ATen/ops/chain_matmul_ops.h 2024-08-20T21:38:18.0424345Z inflating: build/lib/torch/include/ATen/ops/chalf.h 2024-08-20T21:38:18.0424812Z inflating: build/lib/torch/include/ATen/ops/chalf_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0425077Z inflating: build/lib/torch/include/ATen/ops/chalf_native.h 2024-08-20T21:38:18.0425308Z inflating: build/lib/torch/include/ATen/ops/chalf_ops.h 2024-08-20T21:38:18.0425600Z inflating: build/lib/torch/include/ATen/ops/channel_shuffle.h 2024-08-20T21:38:18.0426311Z inflating: build/lib/torch/include/ATen/ops/channel_shuffle_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0426816Z inflating: build/lib/torch/include/ATen/ops/channel_shuffle_cpu_dispatch.h 2024-08-20T21:38:18.0427175Z inflating: build/lib/torch/include/ATen/ops/channel_shuffle_cuda_dispatch.h 2024-08-20T21:38:18.0427538Z inflating: build/lib/torch/include/ATen/ops/channel_shuffle_native.h 2024-08-20T21:38:18.0427823Z inflating: build/lib/torch/include/ATen/ops/channel_shuffle_ops.h 2024-08-20T21:38:18.0428087Z inflating: build/lib/torch/include/ATen/ops/cholesky.h 2024-08-20T21:38:18.0428412Z inflating: build/lib/torch/include/ATen/ops/cholesky_cpu_dispatch.h 2024-08-20T21:38:18.0428747Z inflating: build/lib/torch/include/ATen/ops/cholesky_cuda_dispatch.h 2024-08-20T21:38:18.0429033Z inflating: build/lib/torch/include/ATen/ops/cholesky_inverse.h 2024-08-20T21:38:18.0429427Z inflating: build/lib/torch/include/ATen/ops/cholesky_inverse_cpu_dispatch.h 2024-08-20T21:38:18.0429832Z inflating: build/lib/torch/include/ATen/ops/cholesky_inverse_cuda_dispatch.h 2024-08-20T21:38:18.0430208Z inflating: build/lib/torch/include/ATen/ops/cholesky_inverse_native.h 2024-08-20T21:38:18.0430508Z inflating: build/lib/torch/include/ATen/ops/cholesky_inverse_ops.h 2024-08-20T21:38:18.0430820Z inflating: build/lib/torch/include/ATen/ops/cholesky_native.h 2024-08-20T21:38:18.0431058Z inflating: build/lib/torch/include/ATen/ops/cholesky_ops.h 2024-08-20T21:38:18.0431354Z inflating: build/lib/torch/include/ATen/ops/cholesky_solve.h 2024-08-20T21:38:18.0431904Z inflating: build/lib/torch/include/ATen/ops/cholesky_solve_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0432207Z inflating: build/lib/torch/include/ATen/ops/cholesky_solve_native.h 2024-08-20T21:38:18.0432528Z inflating: build/lib/torch/include/ATen/ops/cholesky_solve_ops.h 2024-08-20T21:38:18.0432905Z inflating: build/lib/torch/include/ATen/ops/choose_qparams_optimized.h 2024-08-20T21:38:18.0433503Z inflating: build/lib/torch/include/ATen/ops/choose_qparams_optimized_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0433881Z inflating: build/lib/torch/include/ATen/ops/choose_qparams_optimized_native.h 2024-08-20T21:38:18.0434286Z inflating: build/lib/torch/include/ATen/ops/choose_qparams_optimized_ops.h 2024-08-20T21:38:18.0434532Z inflating: build/lib/torch/include/ATen/ops/chunk.h 2024-08-20T21:38:18.0434992Z inflating: build/lib/torch/include/ATen/ops/chunk_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0435293Z inflating: build/lib/torch/include/ATen/ops/chunk_native.h 2024-08-20T21:38:18.0435549Z inflating: build/lib/torch/include/ATen/ops/chunk_ops.h 2024-08-20T21:38:18.0435767Z inflating: build/lib/torch/include/ATen/ops/clamp.h 2024-08-20T21:38:18.0436339Z inflating: build/lib/torch/include/ATen/ops/clamp_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0436650Z inflating: build/lib/torch/include/ATen/ops/clamp_cpu_dispatch.h 2024-08-20T21:38:18.0436963Z inflating: build/lib/torch/include/ATen/ops/clamp_cuda_dispatch.h 2024-08-20T21:38:18.0437213Z inflating: build/lib/torch/include/ATen/ops/clamp_max.h 2024-08-20T21:38:18.0437926Z inflating: build/lib/torch/include/ATen/ops/clamp_max_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0438266Z inflating: build/lib/torch/include/ATen/ops/clamp_max_cpu_dispatch.h 2024-08-20T21:38:18.0438597Z inflating: build/lib/torch/include/ATen/ops/clamp_max_cuda_dispatch.h 2024-08-20T21:38:18.0438907Z inflating: build/lib/torch/include/ATen/ops/clamp_max_meta.h 2024-08-20T21:38:18.0439224Z inflating: build/lib/torch/include/ATen/ops/clamp_max_meta_dispatch.h 2024-08-20T21:38:18.0439507Z inflating: build/lib/torch/include/ATen/ops/clamp_max_native.h 2024-08-20T21:38:18.0439793Z inflating: build/lib/torch/include/ATen/ops/clamp_max_ops.h 2024-08-20T21:38:18.0440044Z inflating: build/lib/torch/include/ATen/ops/clamp_meta.h 2024-08-20T21:38:18.0440343Z inflating: build/lib/torch/include/ATen/ops/clamp_meta_dispatch.h 2024-08-20T21:38:18.0440671Z inflating: build/lib/torch/include/ATen/ops/clamp_min.h 2024-08-20T21:38:18.0441274Z inflating: build/lib/torch/include/ATen/ops/clamp_min_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0441601Z inflating: build/lib/torch/include/ATen/ops/clamp_min_cpu_dispatch.h 2024-08-20T21:38:18.0441957Z inflating: build/lib/torch/include/ATen/ops/clamp_min_cuda_dispatch.h 2024-08-20T21:38:18.0442212Z inflating: build/lib/torch/include/ATen/ops/clamp_min_meta.h 2024-08-20T21:38:18.0442631Z inflating: build/lib/torch/include/ATen/ops/clamp_min_meta_dispatch.h 2024-08-20T21:38:18.0443123Z inflating: build/lib/torch/include/ATen/ops/clamp_min_native.h 2024-08-20T21:38:18.0443405Z inflating: build/lib/torch/include/ATen/ops/clamp_min_ops.h 2024-08-20T21:38:18.0443702Z inflating: build/lib/torch/include/ATen/ops/clamp_native.h 2024-08-20T21:38:18.0443927Z inflating: build/lib/torch/include/ATen/ops/clamp_ops.h 2024-08-20T21:38:18.0444128Z inflating: build/lib/torch/include/ATen/ops/clip.h 2024-08-20T21:38:18.0444622Z inflating: build/lib/torch/include/ATen/ops/clip_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0444890Z inflating: build/lib/torch/include/ATen/ops/clip_native.h 2024-08-20T21:38:18.0445115Z inflating: build/lib/torch/include/ATen/ops/clip_ops.h 2024-08-20T21:38:18.0445363Z inflating: build/lib/torch/include/ATen/ops/clone.h 2024-08-20T21:38:18.0445842Z inflating: build/lib/torch/include/ATen/ops/clone_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0446092Z inflating: build/lib/torch/include/ATen/ops/clone_native.h 2024-08-20T21:38:18.0446335Z inflating: build/lib/torch/include/ATen/ops/clone_ops.h 2024-08-20T21:38:18.0446562Z inflating: build/lib/torch/include/ATen/ops/coalesce.h 2024-08-20T21:38:18.0447084Z inflating: build/lib/torch/include/ATen/ops/coalesce_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0447345Z inflating: build/lib/torch/include/ATen/ops/coalesce_native.h 2024-08-20T21:38:18.0447625Z inflating: build/lib/torch/include/ATen/ops/coalesce_ops.h 2024-08-20T21:38:18.0447852Z inflating: build/lib/torch/include/ATen/ops/col2im.h 2024-08-20T21:38:18.0448180Z inflating: build/lib/torch/include/ATen/ops/col2im_cpu_dispatch.h 2024-08-20T21:38:18.0448487Z inflating: build/lib/torch/include/ATen/ops/col2im_cuda_dispatch.h 2024-08-20T21:38:18.0448775Z inflating: build/lib/torch/include/ATen/ops/col2im_native.h 2024-08-20T21:38:18.0449002Z inflating: build/lib/torch/include/ATen/ops/col2im_ops.h 2024-08-20T21:38:18.0449264Z inflating: build/lib/torch/include/ATen/ops/col_indices.h 2024-08-20T21:38:18.0449865Z inflating: build/lib/torch/include/ATen/ops/col_indices_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0450166Z inflating: build/lib/torch/include/ATen/ops/col_indices_copy.h 2024-08-20T21:38:18.0450726Z inflating: build/lib/torch/include/ATen/ops/col_indices_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0451371Z inflating: build/lib/torch/include/ATen/ops/col_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0451835Z inflating: build/lib/torch/include/ATen/ops/col_indices_copy_native.h 2024-08-20T21:38:18.0452173Z inflating: build/lib/torch/include/ATen/ops/col_indices_copy_ops.h 2024-08-20T21:38:18.0452456Z inflating: build/lib/torch/include/ATen/ops/col_indices_native.h 2024-08-20T21:38:18.0452733Z inflating: build/lib/torch/include/ATen/ops/col_indices_ops.h 2024-08-20T21:38:18.0452974Z inflating: build/lib/torch/include/ATen/ops/column_stack.h 2024-08-20T21:38:18.0453493Z inflating: build/lib/torch/include/ATen/ops/column_stack_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0453830Z inflating: build/lib/torch/include/ATen/ops/column_stack_native.h 2024-08-20T21:38:18.0454130Z inflating: build/lib/torch/include/ATen/ops/column_stack_ops.h 2024-08-20T21:38:18.0454379Z inflating: build/lib/torch/include/ATen/ops/combinations.h 2024-08-20T21:38:18.0454986Z inflating: build/lib/torch/include/ATen/ops/combinations_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0455320Z inflating: build/lib/torch/include/ATen/ops/combinations_native.h 2024-08-20T21:38:18.0455630Z inflating: build/lib/torch/include/ATen/ops/combinations_ops.h 2024-08-20T21:38:18.0455877Z inflating: build/lib/torch/include/ATen/ops/complex.h 2024-08-20T21:38:18.0456471Z inflating: build/lib/torch/include/ATen/ops/complex_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0456786Z inflating: build/lib/torch/include/ATen/ops/complex_cpu_dispatch.h 2024-08-20T21:38:18.0457131Z inflating: build/lib/torch/include/ATen/ops/complex_cuda_dispatch.h 2024-08-20T21:38:18.0457405Z inflating: build/lib/torch/include/ATen/ops/complex_native.h 2024-08-20T21:38:18.0457666Z inflating: build/lib/torch/include/ATen/ops/complex_ops.h 2024-08-20T21:38:18.0457874Z inflating: build/lib/torch/include/ATen/ops/concat.h 2024-08-20T21:38:18.0458374Z inflating: build/lib/torch/include/ATen/ops/concat_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0458674Z inflating: build/lib/torch/include/ATen/ops/concat_native.h 2024-08-20T21:38:18.0458903Z inflating: build/lib/torch/include/ATen/ops/concat_ops.h 2024-08-20T21:38:18.0459186Z inflating: build/lib/torch/include/ATen/ops/concatenate.h 2024-08-20T21:38:18.0459709Z inflating: build/lib/torch/include/ATen/ops/concatenate_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0460090Z inflating: build/lib/torch/include/ATen/ops/concatenate_native.h 2024-08-20T21:38:18.0460409Z inflating: build/lib/torch/include/ATen/ops/concatenate_ops.h 2024-08-20T21:38:18.0460603Z inflating: build/lib/torch/include/ATen/ops/conj.h 2024-08-20T21:38:18.0461073Z inflating: build/lib/torch/include/ATen/ops/conj_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0461316Z inflating: build/lib/torch/include/ATen/ops/conj_native.h 2024-08-20T21:38:18.0461575Z inflating: build/lib/torch/include/ATen/ops/conj_ops.h 2024-08-20T21:38:18.0461846Z inflating: build/lib/torch/include/ATen/ops/conj_physical.h 2024-08-20T21:38:18.0462370Z inflating: build/lib/torch/include/ATen/ops/conj_physical_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0462882Z inflating: build/lib/torch/include/ATen/ops/conj_physical_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0463277Z inflating: build/lib/torch/include/ATen/ops/conj_physical_cpu_dispatch.h 2024-08-20T21:38:18.0463617Z inflating: build/lib/torch/include/ATen/ops/conj_physical_cuda_dispatch.h 2024-08-20T21:38:18.0463948Z inflating: build/lib/torch/include/ATen/ops/conj_physical_native.h 2024-08-20T21:38:18.0464245Z inflating: build/lib/torch/include/ATen/ops/conj_physical_ops.h 2024-08-20T21:38:18.0464535Z inflating: build/lib/torch/include/ATen/ops/constant_pad_nd.h 2024-08-20T21:38:18.0465080Z inflating: build/lib/torch/include/ATen/ops/constant_pad_nd_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0465450Z inflating: build/lib/torch/include/ATen/ops/constant_pad_nd_native.h 2024-08-20T21:38:18.0465806Z inflating: build/lib/torch/include/ATen/ops/constant_pad_nd_ops.h 2024-08-20T21:38:18.0466088Z inflating: build/lib/torch/include/ATen/ops/contiguous.h 2024-08-20T21:38:18.0466604Z inflating: build/lib/torch/include/ATen/ops/contiguous_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0466884Z inflating: build/lib/torch/include/ATen/ops/contiguous_native.h 2024-08-20T21:38:18.0467190Z inflating: build/lib/torch/include/ATen/ops/contiguous_ops.h 2024-08-20T21:38:18.0467397Z inflating: build/lib/torch/include/ATen/ops/conv1d.h 2024-08-20T21:38:18.0467881Z inflating: build/lib/torch/include/ATen/ops/conv1d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0468183Z inflating: build/lib/torch/include/ATen/ops/conv1d_native.h 2024-08-20T21:38:18.0468411Z inflating: build/lib/torch/include/ATen/ops/conv1d_ops.h 2024-08-20T21:38:18.0468684Z inflating: build/lib/torch/include/ATen/ops/conv2d.h 2024-08-20T21:38:18.0469315Z inflating: build/lib/torch/include/ATen/ops/conv2d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0469598Z inflating: build/lib/torch/include/ATen/ops/conv2d_native.h 2024-08-20T21:38:18.0470017Z inflating: build/lib/torch/include/ATen/ops/conv2d_ops.h 2024-08-20T21:38:18.0470410Z inflating: build/lib/torch/include/ATen/ops/conv3d.h 2024-08-20T21:38:18.0471211Z inflating: build/lib/torch/include/ATen/ops/conv3d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0471690Z inflating: build/lib/torch/include/ATen/ops/conv3d_native.h 2024-08-20T21:38:18.0472116Z inflating: build/lib/torch/include/ATen/ops/conv3d_ops.h 2024-08-20T21:38:18.0472618Z inflating: build/lib/torch/include/ATen/ops/conv_depthwise3d.h 2024-08-20T21:38:18.0473567Z inflating: build/lib/torch/include/ATen/ops/conv_depthwise3d_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0474253Z inflating: build/lib/torch/include/ATen/ops/conv_depthwise3d_cuda_dispatch.h 2024-08-20T21:38:18.0474866Z inflating: build/lib/torch/include/ATen/ops/conv_depthwise3d_native.h 2024-08-20T21:38:18.0475409Z inflating: build/lib/torch/include/ATen/ops/conv_depthwise3d_ops.h 2024-08-20T21:38:18.0475813Z inflating: build/lib/torch/include/ATen/ops/conv_tbc.h 2024-08-20T21:38:18.0476338Z inflating: build/lib/torch/include/ATen/ops/conv_tbc_backward.h 2024-08-20T21:38:18.0477287Z inflating: build/lib/torch/include/ATen/ops/conv_tbc_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0477877Z inflating: build/lib/torch/include/ATen/ops/conv_tbc_backward_native.h 2024-08-20T21:38:18.0478447Z inflating: build/lib/torch/include/ATen/ops/conv_tbc_backward_ops.h 2024-08-20T21:38:18.0479294Z inflating: build/lib/torch/include/ATen/ops/conv_tbc_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0479791Z inflating: build/lib/torch/include/ATen/ops/conv_tbc_native.h 2024-08-20T21:38:18.0480240Z inflating: build/lib/torch/include/ATen/ops/conv_tbc_ops.h 2024-08-20T21:38:18.0480764Z inflating: build/lib/torch/include/ATen/ops/conv_transpose1d.h 2024-08-20T21:38:18.0481733Z inflating: build/lib/torch/include/ATen/ops/conv_transpose1d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0482326Z inflating: build/lib/torch/include/ATen/ops/conv_transpose1d_native.h 2024-08-20T21:38:18.0482877Z inflating: build/lib/torch/include/ATen/ops/conv_transpose1d_ops.h 2024-08-20T21:38:18.0483396Z inflating: build/lib/torch/include/ATen/ops/conv_transpose2d.h 2024-08-20T21:38:18.0484334Z inflating: build/lib/torch/include/ATen/ops/conv_transpose2d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0484922Z inflating: build/lib/torch/include/ATen/ops/conv_transpose2d_native.h 2024-08-20T21:38:18.0485481Z inflating: build/lib/torch/include/ATen/ops/conv_transpose2d_ops.h 2024-08-20T21:38:18.0485978Z inflating: build/lib/torch/include/ATen/ops/conv_transpose3d.h 2024-08-20T21:38:18.0487054Z inflating: build/lib/torch/include/ATen/ops/conv_transpose3d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0487762Z inflating: build/lib/torch/include/ATen/ops/conv_transpose3d_native.h 2024-08-20T21:38:18.0488307Z inflating: build/lib/torch/include/ATen/ops/conv_transpose3d_ops.h 2024-08-20T21:38:18.0488724Z inflating: build/lib/torch/include/ATen/ops/convolution.h 2024-08-20T21:38:18.0489278Z inflating: build/lib/torch/include/ATen/ops/convolution_backward.h 2024-08-20T21:38:18.0490141Z inflating: build/lib/torch/include/ATen/ops/convolution_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0490903Z inflating: build/lib/torch/include/ATen/ops/convolution_backward_cuda_dispatch.h 2024-08-20T21:38:18.0491553Z inflating: build/lib/torch/include/ATen/ops/convolution_backward_native.h 2024-08-20T21:38:18.0492069Z inflating: build/lib/torch/include/ATen/ops/convolution_backward_ops.h 2024-08-20T21:38:18.0492876Z inflating: build/lib/torch/include/ATen/ops/convolution_backward_overrideable.h 2024-08-20T21:38:18.0494057Z inflating: build/lib/torch/include/ATen/ops/convolution_backward_overrideable_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0494891Z inflating: build/lib/torch/include/ATen/ops/convolution_backward_overrideable_native.h 2024-08-20T21:38:18.0495655Z inflating: build/lib/torch/include/ATen/ops/convolution_backward_overrideable_ops.h 2024-08-20T21:38:18.0496568Z inflating: build/lib/torch/include/ATen/ops/convolution_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0497113Z inflating: build/lib/torch/include/ATen/ops/convolution_native.h 2024-08-20T21:38:18.0497609Z inflating: build/lib/torch/include/ATen/ops/convolution_ops.h 2024-08-20T21:38:18.0498248Z inflating: build/lib/torch/include/ATen/ops/convolution_overrideable.h 2024-08-20T21:38:18.0499353Z inflating: build/lib/torch/include/ATen/ops/convolution_overrideable_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0500134Z inflating: build/lib/torch/include/ATen/ops/convolution_overrideable_native.h 2024-08-20T21:38:18.0500857Z inflating: build/lib/torch/include/ATen/ops/convolution_overrideable_ops.h 2024-08-20T21:38:18.0501204Z inflating: build/lib/torch/include/ATen/ops/copy.h 2024-08-20T21:38:18.0502015Z inflating: build/lib/torch/include/ATen/ops/copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0503002Z inflating: build/lib/torch/include/ATen/ops/copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0503527Z inflating: build/lib/torch/include/ATen/ops/copy_meta_dispatch.h 2024-08-20T21:38:18.0503989Z inflating: build/lib/torch/include/ATen/ops/copy_native.h 2024-08-20T21:38:18.0504390Z inflating: build/lib/torch/include/ATen/ops/copy_ops.h 2024-08-20T21:38:18.0505061Z inflating: build/lib/torch/include/ATen/ops/copy_sparse_to_sparse.h 2024-08-20T21:38:18.0506052Z inflating: build/lib/torch/include/ATen/ops/copy_sparse_to_sparse_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0506804Z inflating: build/lib/torch/include/ATen/ops/copy_sparse_to_sparse_meta_dispatch.h 2024-08-20T21:38:18.0507455Z inflating: build/lib/torch/include/ATen/ops/copy_sparse_to_sparse_native.h 2024-08-20T21:38:18.0508087Z inflating: build/lib/torch/include/ATen/ops/copy_sparse_to_sparse_ops.h 2024-08-20T21:38:18.0508479Z inflating: build/lib/torch/include/ATen/ops/copysign.h 2024-08-20T21:38:18.0509351Z inflating: build/lib/torch/include/ATen/ops/copysign_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0510494Z inflating: build/lib/torch/include/ATen/ops/copysign_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0511061Z inflating: build/lib/torch/include/ATen/ops/copysign_cpu_dispatch.h 2024-08-20T21:38:18.0511656Z inflating: build/lib/torch/include/ATen/ops/copysign_cuda_dispatch.h 2024-08-20T21:38:18.0512121Z inflating: build/lib/torch/include/ATen/ops/copysign_meta.h 2024-08-20T21:38:18.0512700Z inflating: build/lib/torch/include/ATen/ops/copysign_meta_dispatch.h 2024-08-20T21:38:18.0513312Z inflating: build/lib/torch/include/ATen/ops/copysign_native.h 2024-08-20T21:38:18.0513842Z inflating: build/lib/torch/include/ATen/ops/copysign_ops.h 2024-08-20T21:38:18.0514236Z inflating: build/lib/torch/include/ATen/ops/corrcoef.h 2024-08-20T21:38:18.0515113Z inflating: build/lib/torch/include/ATen/ops/corrcoef_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0515592Z inflating: build/lib/torch/include/ATen/ops/corrcoef_native.h 2024-08-20T21:38:18.0516053Z inflating: build/lib/torch/include/ATen/ops/corrcoef_ops.h 2024-08-20T21:38:18.0516413Z inflating: build/lib/torch/include/ATen/ops/cos.h 2024-08-20T21:38:18.0517382Z inflating: build/lib/torch/include/ATen/ops/cos_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0517898Z inflating: build/lib/torch/include/ATen/ops/cos_cpu_dispatch.h 2024-08-20T21:38:18.0518523Z inflating: build/lib/torch/include/ATen/ops/cos_cuda_dispatch.h 2024-08-20T21:38:18.0518920Z inflating: build/lib/torch/include/ATen/ops/cos_meta.h 2024-08-20T21:38:18.0519446Z inflating: build/lib/torch/include/ATen/ops/cos_meta_dispatch.h 2024-08-20T21:38:18.0519877Z inflating: build/lib/torch/include/ATen/ops/cos_native.h 2024-08-20T21:38:18.0520268Z inflating: build/lib/torch/include/ATen/ops/cos_ops.h 2024-08-20T21:38:18.0520636Z inflating: build/lib/torch/include/ATen/ops/cosh.h 2024-08-20T21:38:18.0521621Z inflating: build/lib/torch/include/ATen/ops/cosh_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0522149Z inflating: build/lib/torch/include/ATen/ops/cosh_cpu_dispatch.h 2024-08-20T21:38:18.0522666Z inflating: build/lib/torch/include/ATen/ops/cosh_cuda_dispatch.h 2024-08-20T21:38:18.0523085Z inflating: build/lib/torch/include/ATen/ops/cosh_meta.h 2024-08-20T21:38:18.0523619Z inflating: build/lib/torch/include/ATen/ops/cosh_meta_dispatch.h 2024-08-20T21:38:18.0524050Z inflating: build/lib/torch/include/ATen/ops/cosh_native.h 2024-08-20T21:38:18.0524447Z inflating: build/lib/torch/include/ATen/ops/cosh_ops.h 2024-08-20T21:38:18.0525015Z inflating: build/lib/torch/include/ATen/ops/cosine_embedding_loss.h 2024-08-20T21:38:18.0526175Z inflating: build/lib/torch/include/ATen/ops/cosine_embedding_loss_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0526819Z inflating: build/lib/torch/include/ATen/ops/cosine_embedding_loss_native.h 2024-08-20T21:38:18.0527448Z inflating: build/lib/torch/include/ATen/ops/cosine_embedding_loss_ops.h 2024-08-20T21:38:18.0527984Z inflating: build/lib/torch/include/ATen/ops/cosine_similarity.h 2024-08-20T21:38:18.0528762Z inflating: build/lib/torch/include/ATen/ops/cosine_similarity_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0529366Z inflating: build/lib/torch/include/ATen/ops/cosine_similarity_native.h 2024-08-20T21:38:18.0529931Z inflating: build/lib/torch/include/ATen/ops/cosine_similarity_ops.h 2024-08-20T21:38:18.0530415Z inflating: build/lib/torch/include/ATen/ops/count_nonzero.h 2024-08-20T21:38:18.0531317Z inflating: build/lib/torch/include/ATen/ops/count_nonzero_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0531936Z inflating: build/lib/torch/include/ATen/ops/count_nonzero_cpu_dispatch.h 2024-08-20T21:38:18.0532592Z inflating: build/lib/torch/include/ATen/ops/count_nonzero_cuda_dispatch.h 2024-08-20T21:38:18.0533135Z inflating: build/lib/torch/include/ATen/ops/count_nonzero_native.h 2024-08-20T21:38:18.0533661Z inflating: build/lib/torch/include/ATen/ops/count_nonzero_ops.h 2024-08-20T21:38:18.0534016Z inflating: build/lib/torch/include/ATen/ops/cov.h 2024-08-20T21:38:18.0534783Z inflating: build/lib/torch/include/ATen/ops/cov_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0535228Z inflating: build/lib/torch/include/ATen/ops/cov_native.h 2024-08-20T21:38:18.0535621Z inflating: build/lib/torch/include/ATen/ops/cov_ops.h 2024-08-20T21:38:18.0535992Z inflating: build/lib/torch/include/ATen/ops/cross.h 2024-08-20T21:38:18.0536994Z inflating: build/lib/torch/include/ATen/ops/cross_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0537525Z inflating: build/lib/torch/include/ATen/ops/cross_entropy_loss.h 2024-08-20T21:38:18.0538503Z inflating: build/lib/torch/include/ATen/ops/cross_entropy_loss_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0539128Z inflating: build/lib/torch/include/ATen/ops/cross_entropy_loss_native.h 2024-08-20T21:38:18.0539703Z inflating: build/lib/torch/include/ATen/ops/cross_entropy_loss_ops.h 2024-08-20T21:38:18.0540241Z inflating: build/lib/torch/include/ATen/ops/cross_native.h 2024-08-20T21:38:18.0540645Z inflating: build/lib/torch/include/ATen/ops/cross_ops.h 2024-08-20T21:38:18.0541080Z inflating: build/lib/torch/include/ATen/ops/crow_indices.h 2024-08-20T21:38:18.0541987Z inflating: build/lib/torch/include/ATen/ops/crow_indices_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0542638Z inflating: build/lib/torch/include/ATen/ops/crow_indices_copy.h 2024-08-20T21:38:18.0543579Z inflating: build/lib/torch/include/ATen/ops/crow_indices_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0544710Z inflating: build/lib/torch/include/ATen/ops/crow_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0545314Z inflating: build/lib/torch/include/ATen/ops/crow_indices_copy_native.h 2024-08-20T21:38:18.0545886Z inflating: build/lib/torch/include/ATen/ops/crow_indices_copy_ops.h 2024-08-20T21:38:18.0546416Z inflating: build/lib/torch/include/ATen/ops/crow_indices_native.h 2024-08-20T21:38:18.0546904Z inflating: build/lib/torch/include/ATen/ops/crow_indices_ops.h 2024-08-20T21:38:18.0547304Z inflating: build/lib/torch/include/ATen/ops/ctc_loss.h 2024-08-20T21:38:18.0548140Z inflating: build/lib/torch/include/ATen/ops/ctc_loss_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0548629Z inflating: build/lib/torch/include/ATen/ops/ctc_loss_native.h 2024-08-20T21:38:18.0549097Z inflating: build/lib/torch/include/ATen/ops/ctc_loss_ops.h 2024-08-20T21:38:18.0549723Z inflating: build/lib/torch/include/ATen/ops/cudnn_affine_grid_generator.h 2024-08-20T21:38:18.0550461Z inflating: build/lib/torch/include/ATen/ops/cudnn_affine_grid_generator_backward.h 2024-08-20T21:38:18.0551633Z inflating: build/lib/torch/include/ATen/ops/cudnn_affine_grid_generator_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0552530Z inflating: build/lib/torch/include/ATen/ops/cudnn_affine_grid_generator_backward_cuda_dispatch.h 2024-08-20T21:38:18.0553378Z inflating: build/lib/torch/include/ATen/ops/cudnn_affine_grid_generator_backward_native.h 2024-08-20T21:38:18.0554155Z inflating: build/lib/torch/include/ATen/ops/cudnn_affine_grid_generator_backward_ops.h 2024-08-20T21:38:18.0555225Z inflating: build/lib/torch/include/ATen/ops/cudnn_affine_grid_generator_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0556057Z inflating: build/lib/torch/include/ATen/ops/cudnn_affine_grid_generator_cuda_dispatch.h 2024-08-20T21:38:18.0556755Z inflating: build/lib/torch/include/ATen/ops/cudnn_affine_grid_generator_native.h 2024-08-20T21:38:18.0557495Z inflating: build/lib/torch/include/ATen/ops/cudnn_affine_grid_generator_ops.h 2024-08-20T21:38:18.0557993Z inflating: build/lib/torch/include/ATen/ops/cudnn_batch_norm.h 2024-08-20T21:38:18.0558610Z inflating: build/lib/torch/include/ATen/ops/cudnn_batch_norm_backward.h 2024-08-20T21:38:18.0559673Z inflating: build/lib/torch/include/ATen/ops/cudnn_batch_norm_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0560189Z inflating: build/lib/torch/include/ATen/ops/cudnn_batch_norm_backward_cuda_dispatch.h 2024-08-20T21:38:18.0560887Z inflating: build/lib/torch/include/ATen/ops/cudnn_batch_norm_backward_native.h 2024-08-20T21:38:18.0561566Z inflating: build/lib/torch/include/ATen/ops/cudnn_batch_norm_backward_ops.h 2024-08-20T21:38:18.0562601Z inflating: build/lib/torch/include/ATen/ops/cudnn_batch_norm_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0563295Z inflating: build/lib/torch/include/ATen/ops/cudnn_batch_norm_cuda_dispatch.h 2024-08-20T21:38:18.0563872Z inflating: build/lib/torch/include/ATen/ops/cudnn_batch_norm_native.h 2024-08-20T21:38:18.0564424Z inflating: build/lib/torch/include/ATen/ops/cudnn_batch_norm_ops.h 2024-08-20T21:38:18.0565101Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution.h 2024-08-20T21:38:18.0565591Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution_add_relu.h 2024-08-20T21:38:18.0566667Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution_add_relu_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0567472Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution_add_relu_cuda_dispatch.h 2024-08-20T21:38:18.0568269Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution_add_relu_native.h 2024-08-20T21:38:18.0568932Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution_add_relu_ops.h 2024-08-20T21:38:18.0569634Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution_cuda_dispatch.h 2024-08-20T21:38:18.0570242Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution_native.h 2024-08-20T21:38:18.0570818Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution_ops.h 2024-08-20T21:38:18.0571390Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution_relu.h 2024-08-20T21:38:18.0572400Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution_relu_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0573168Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution_relu_cuda_dispatch.h 2024-08-20T21:38:18.0573819Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution_relu_native.h 2024-08-20T21:38:18.0574451Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution_relu_ops.h 2024-08-20T21:38:18.0575118Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution_transpose.h 2024-08-20T21:38:18.0576249Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution_transpose_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0577063Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution_transpose_cuda_dispatch.h 2024-08-20T21:38:18.0577775Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution_transpose_native.h 2024-08-20T21:38:18.0578462Z inflating: build/lib/torch/include/ATen/ops/cudnn_convolution_transpose_ops.h 2024-08-20T21:38:18.0578998Z inflating: build/lib/torch/include/ATen/ops/cudnn_grid_sampler.h 2024-08-20T21:38:18.0579633Z inflating: build/lib/torch/include/ATen/ops/cudnn_grid_sampler_backward.h 2024-08-20T21:38:18.0580752Z inflating: build/lib/torch/include/ATen/ops/cudnn_grid_sampler_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0581588Z inflating: build/lib/torch/include/ATen/ops/cudnn_grid_sampler_backward_cuda_dispatch.h 2024-08-20T21:38:18.0582313Z inflating: build/lib/torch/include/ATen/ops/cudnn_grid_sampler_backward_native.h 2024-08-20T21:38:18.0583000Z inflating: build/lib/torch/include/ATen/ops/cudnn_grid_sampler_backward_ops.h 2024-08-20T21:38:18.0583971Z inflating: build/lib/torch/include/ATen/ops/cudnn_grid_sampler_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0584774Z inflating: build/lib/torch/include/ATen/ops/cudnn_grid_sampler_cuda_dispatch.h 2024-08-20T21:38:18.0585407Z inflating: build/lib/torch/include/ATen/ops/cudnn_grid_sampler_native.h 2024-08-20T21:38:18.0585980Z inflating: build/lib/torch/include/ATen/ops/cudnn_grid_sampler_ops.h 2024-08-20T21:38:18.0586517Z inflating: build/lib/torch/include/ATen/ops/cudnn_is_acceptable.h 2024-08-20T21:38:18.0587520Z inflating: build/lib/torch/include/ATen/ops/cudnn_is_acceptable_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0588150Z inflating: build/lib/torch/include/ATen/ops/cudnn_is_acceptable_native.h 2024-08-20T21:38:18.0588935Z inflating: build/lib/torch/include/ATen/ops/cudnn_is_acceptable_ops.h 2024-08-20T21:38:18.0589321Z inflating: build/lib/torch/include/ATen/ops/cummax.h 2024-08-20T21:38:18.0590153Z inflating: build/lib/torch/include/ATen/ops/cummax_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0590995Z inflating: build/lib/torch/include/ATen/ops/cummax_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0591463Z inflating: build/lib/torch/include/ATen/ops/cummax_native.h 2024-08-20T21:38:18.0591892Z inflating: build/lib/torch/include/ATen/ops/cummax_ops.h 2024-08-20T21:38:18.0592436Z inflating: build/lib/torch/include/ATen/ops/cummaxmin_backward.h 2024-08-20T21:38:18.0593494Z inflating: build/lib/torch/include/ATen/ops/cummaxmin_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0594138Z inflating: build/lib/torch/include/ATen/ops/cummaxmin_backward_native.h 2024-08-20T21:38:18.0594816Z inflating: build/lib/torch/include/ATen/ops/cummaxmin_backward_ops.h 2024-08-20T21:38:18.0595197Z inflating: build/lib/torch/include/ATen/ops/cummin.h 2024-08-20T21:38:18.0596032Z inflating: build/lib/torch/include/ATen/ops/cummin_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0596860Z inflating: build/lib/torch/include/ATen/ops/cummin_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0597320Z inflating: build/lib/torch/include/ATen/ops/cummin_native.h 2024-08-20T21:38:18.0597721Z inflating: build/lib/torch/include/ATen/ops/cumprod.h 2024-08-20T21:38:18.0598243Z inflating: build/lib/torch/include/ATen/ops/cumprod_backward.h 2024-08-20T21:38:18.0599192Z inflating: build/lib/torch/include/ATen/ops/cumprod_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0599804Z inflating: build/lib/torch/include/ATen/ops/cumprod_backward_native.h 2024-08-20T21:38:18.0600346Z inflating: build/lib/torch/include/ATen/ops/cumprod_backward_ops.h 2024-08-20T21:38:18.0601402Z inflating: build/lib/torch/include/ATen/ops/cumprod_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0602244Z inflating: build/lib/torch/include/ATen/ops/cumprod_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0602815Z inflating: build/lib/torch/include/ATen/ops/cumprod_cpu_dispatch.h 2024-08-20T21:38:18.0603238Z inflating: build/lib/torch/include/ATen/ops/cumprod_cuda_dispatch.h 2024-08-20T21:38:18.0603696Z inflating: build/lib/torch/include/ATen/ops/cumprod_meta.h 2024-08-20T21:38:18.0604254Z inflating: build/lib/torch/include/ATen/ops/cumprod_meta_dispatch.h 2024-08-20T21:38:18.0604743Z inflating: build/lib/torch/include/ATen/ops/cumprod_native.h 2024-08-20T21:38:18.0605172Z inflating: build/lib/torch/include/ATen/ops/cumprod_ops.h 2024-08-20T21:38:18.0605568Z inflating: build/lib/torch/include/ATen/ops/cumsum.h 2024-08-20T21:38:18.0606590Z inflating: build/lib/torch/include/ATen/ops/cumsum_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0607428Z inflating: build/lib/torch/include/ATen/ops/cumsum_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0607975Z inflating: build/lib/torch/include/ATen/ops/cumsum_cpu_dispatch.h 2024-08-20T21:38:18.0608523Z inflating: build/lib/torch/include/ATen/ops/cumsum_cuda_dispatch.h 2024-08-20T21:38:18.0608964Z inflating: build/lib/torch/include/ATen/ops/cumsum_meta.h 2024-08-20T21:38:18.0609521Z inflating: build/lib/torch/include/ATen/ops/cumsum_meta_dispatch.h 2024-08-20T21:38:18.0609992Z inflating: build/lib/torch/include/ATen/ops/cumsum_native.h 2024-08-20T21:38:18.0610406Z inflating: build/lib/torch/include/ATen/ops/cumsum_ops.h 2024-08-20T21:38:18.0610974Z inflating: build/lib/torch/include/ATen/ops/cumulative_trapezoid.h 2024-08-20T21:38:18.0611988Z inflating: build/lib/torch/include/ATen/ops/cumulative_trapezoid_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0612667Z inflating: build/lib/torch/include/ATen/ops/cumulative_trapezoid_native.h 2024-08-20T21:38:18.0613396Z inflating: build/lib/torch/include/ATen/ops/cumulative_trapezoid_ops.h 2024-08-20T21:38:18.0613755Z inflating: build/lib/torch/include/ATen/ops/data.h 2024-08-20T21:38:18.0614574Z inflating: build/lib/torch/include/ATen/ops/data_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0615003Z inflating: build/lib/torch/include/ATen/ops/data_native.h 2024-08-20T21:38:18.0615410Z inflating: build/lib/torch/include/ATen/ops/data_ops.h 2024-08-20T21:38:18.0615759Z inflating: build/lib/torch/include/ATen/ops/deg2rad.h 2024-08-20T21:38:18.0616586Z inflating: build/lib/torch/include/ATen/ops/deg2rad_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0617057Z inflating: build/lib/torch/include/ATen/ops/deg2rad_native.h 2024-08-20T21:38:18.0617503Z inflating: build/lib/torch/include/ATen/ops/deg2rad_ops.h 2024-08-20T21:38:18.0617930Z inflating: build/lib/torch/include/ATen/ops/dense_dim.h 2024-08-20T21:38:18.0618889Z inflating: build/lib/torch/include/ATen/ops/dense_dim_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0619390Z inflating: build/lib/torch/include/ATen/ops/dense_dim_native.h 2024-08-20T21:38:18.0619916Z inflating: build/lib/torch/include/ATen/ops/dense_dim_ops.h 2024-08-20T21:38:18.0620355Z inflating: build/lib/torch/include/ATen/ops/dequantize.h 2024-08-20T21:38:18.0621252Z inflating: build/lib/torch/include/ATen/ops/dequantize_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0621848Z inflating: build/lib/torch/include/ATen/ops/dequantize_cpu_dispatch.h 2024-08-20T21:38:18.0622481Z inflating: build/lib/torch/include/ATen/ops/dequantize_cuda_dispatch.h 2024-08-20T21:38:18.0622994Z inflating: build/lib/torch/include/ATen/ops/dequantize_native.h 2024-08-20T21:38:18.0623483Z inflating: build/lib/torch/include/ATen/ops/dequantize_ops.h 2024-08-20T21:38:18.0623844Z inflating: build/lib/torch/include/ATen/ops/det.h 2024-08-20T21:38:18.0624634Z inflating: build/lib/torch/include/ATen/ops/det_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0625081Z inflating: build/lib/torch/include/ATen/ops/det_native.h 2024-08-20T21:38:18.0625464Z inflating: build/lib/torch/include/ATen/ops/det_ops.h 2024-08-20T21:38:18.0626001Z inflating: build/lib/torch/include/ATen/ops/detach.h 2024-08-20T21:38:18.0626530Z inflating: build/lib/torch/include/ATen/ops/detach_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0626766Z inflating: build/lib/torch/include/ATen/ops/detach_copy.h 2024-08-20T21:38:18.0627238Z inflating: build/lib/torch/include/ATen/ops/detach_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0641359Z inflating: build/lib/torch/include/ATen/ops/detach_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0642019Z inflating: build/lib/torch/include/ATen/ops/detach_copy_native.h 2024-08-20T21:38:18.0642708Z inflating: build/lib/torch/include/ATen/ops/detach_copy_ops.h 2024-08-20T21:38:18.0643107Z inflating: build/lib/torch/include/ATen/ops/detach_native.h 2024-08-20T21:38:18.0643360Z inflating: build/lib/torch/include/ATen/ops/detach_ops.h 2024-08-20T21:38:18.0643587Z inflating: build/lib/torch/include/ATen/ops/diag.h 2024-08-20T21:38:18.0644032Z inflating: build/lib/torch/include/ATen/ops/diag_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0644276Z inflating: build/lib/torch/include/ATen/ops/diag_embed.h 2024-08-20T21:38:18.0644785Z inflating: build/lib/torch/include/ATen/ops/diag_embed_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0645397Z inflating: build/lib/torch/include/ATen/ops/diag_embed_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0645683Z inflating: build/lib/torch/include/ATen/ops/diag_embed_native.h 2024-08-20T21:38:18.0645976Z inflating: build/lib/torch/include/ATen/ops/diag_embed_ops.h 2024-08-20T21:38:18.0646228Z inflating: build/lib/torch/include/ATen/ops/diag_native.h 2024-08-20T21:38:18.0646451Z inflating: build/lib/torch/include/ATen/ops/diag_ops.h 2024-08-20T21:38:18.0646861Z inflating: build/lib/torch/include/ATen/ops/diagflat.h 2024-08-20T21:38:18.0647358Z inflating: build/lib/torch/include/ATen/ops/diagflat_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0647645Z inflating: build/lib/torch/include/ATen/ops/diagflat_native.h 2024-08-20T21:38:18.0647890Z inflating: build/lib/torch/include/ATen/ops/diagflat_ops.h 2024-08-20T21:38:18.0648152Z inflating: build/lib/torch/include/ATen/ops/diagonal.h 2024-08-20T21:38:18.0648432Z inflating: build/lib/torch/include/ATen/ops/diagonal_backward.h 2024-08-20T21:38:18.0648991Z inflating: build/lib/torch/include/ATen/ops/diagonal_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0649374Z inflating: build/lib/torch/include/ATen/ops/diagonal_backward_native.h 2024-08-20T21:38:18.0649680Z inflating: build/lib/torch/include/ATen/ops/diagonal_backward_ops.h 2024-08-20T21:38:18.0650286Z inflating: build/lib/torch/include/ATen/ops/diagonal_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0650785Z inflating: build/lib/torch/include/ATen/ops/diagonal_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0651078Z inflating: build/lib/torch/include/ATen/ops/diagonal_copy.h 2024-08-20T21:38:18.0651618Z inflating: build/lib/torch/include/ATen/ops/diagonal_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0652257Z inflating: build/lib/torch/include/ATen/ops/diagonal_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0652588Z inflating: build/lib/torch/include/ATen/ops/diagonal_copy_native.h 2024-08-20T21:38:18.0652891Z inflating: build/lib/torch/include/ATen/ops/diagonal_copy_ops.h 2024-08-20T21:38:18.0653193Z inflating: build/lib/torch/include/ATen/ops/diagonal_native.h 2024-08-20T21:38:18.0653447Z inflating: build/lib/torch/include/ATen/ops/diagonal_ops.h 2024-08-20T21:38:18.0653766Z inflating: build/lib/torch/include/ATen/ops/diagonal_scatter.h 2024-08-20T21:38:18.0654323Z inflating: build/lib/torch/include/ATen/ops/diagonal_scatter_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0654993Z inflating: build/lib/torch/include/ATen/ops/diagonal_scatter_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0655312Z inflating: build/lib/torch/include/ATen/ops/diagonal_scatter_native.h 2024-08-20T21:38:18.0655650Z inflating: build/lib/torch/include/ATen/ops/diagonal_scatter_ops.h 2024-08-20T21:38:18.0655858Z inflating: build/lib/torch/include/ATen/ops/diff.h 2024-08-20T21:38:18.0656328Z inflating: build/lib/torch/include/ATen/ops/diff_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0656597Z inflating: build/lib/torch/include/ATen/ops/diff_native.h 2024-08-20T21:38:18.0656829Z inflating: build/lib/torch/include/ATen/ops/diff_ops.h 2024-08-20T21:38:18.0657079Z inflating: build/lib/torch/include/ATen/ops/digamma.h 2024-08-20T21:38:18.0657682Z inflating: build/lib/torch/include/ATen/ops/digamma_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0658042Z inflating: build/lib/torch/include/ATen/ops/digamma_cpu_dispatch.h 2024-08-20T21:38:18.0658387Z inflating: build/lib/torch/include/ATen/ops/digamma_cuda_dispatch.h 2024-08-20T21:38:18.0658639Z inflating: build/lib/torch/include/ATen/ops/digamma_meta.h 2024-08-20T21:38:18.0658983Z inflating: build/lib/torch/include/ATen/ops/digamma_meta_dispatch.h 2024-08-20T21:38:18.0659240Z inflating: build/lib/torch/include/ATen/ops/digamma_native.h 2024-08-20T21:38:18.0659527Z inflating: build/lib/torch/include/ATen/ops/digamma_ops.h 2024-08-20T21:38:18.0659720Z inflating: build/lib/torch/include/ATen/ops/dist.h 2024-08-20T21:38:18.0660273Z inflating: build/lib/torch/include/ATen/ops/dist_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0660506Z inflating: build/lib/torch/include/ATen/ops/dist_native.h 2024-08-20T21:38:18.0660768Z inflating: build/lib/torch/include/ATen/ops/dist_ops.h 2024-08-20T21:38:18.0661165Z inflating: build/lib/torch/include/ATen/ops/div.h 2024-08-20T21:38:18.0661619Z inflating: build/lib/torch/include/ATen/ops/div_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0662181Z inflating: build/lib/torch/include/ATen/ops/div_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0662466Z inflating: build/lib/torch/include/ATen/ops/div_cpu_dispatch.h 2024-08-20T21:38:18.0662784Z inflating: build/lib/torch/include/ATen/ops/div_cuda_dispatch.h 2024-08-20T21:38:18.0662999Z inflating: build/lib/torch/include/ATen/ops/div_meta.h 2024-08-20T21:38:18.0663321Z inflating: build/lib/torch/include/ATen/ops/div_meta_dispatch.h 2024-08-20T21:38:18.0663548Z inflating: build/lib/torch/include/ATen/ops/div_native.h 2024-08-20T21:38:18.0663812Z inflating: build/lib/torch/include/ATen/ops/div_ops.h 2024-08-20T21:38:18.0664021Z inflating: build/lib/torch/include/ATen/ops/divide.h 2024-08-20T21:38:18.0664570Z inflating: build/lib/torch/include/ATen/ops/divide_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0664840Z inflating: build/lib/torch/include/ATen/ops/divide_native.h 2024-08-20T21:38:18.0665106Z inflating: build/lib/torch/include/ATen/ops/divide_ops.h 2024-08-20T21:38:18.0665297Z inflating: build/lib/torch/include/ATen/ops/dot.h 2024-08-20T21:38:18.0665841Z inflating: build/lib/torch/include/ATen/ops/dot_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0666261Z inflating: build/lib/torch/include/ATen/ops/dot_cpu_dispatch.h 2024-08-20T21:38:18.0666541Z inflating: build/lib/torch/include/ATen/ops/dot_cuda_dispatch.h 2024-08-20T21:38:18.0666823Z inflating: build/lib/torch/include/ATen/ops/dot_native.h 2024-08-20T21:38:18.0667035Z inflating: build/lib/torch/include/ATen/ops/dot_ops.h 2024-08-20T21:38:18.0667301Z inflating: build/lib/torch/include/ATen/ops/dropout.h 2024-08-20T21:38:18.0667764Z inflating: build/lib/torch/include/ATen/ops/dropout_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0668067Z inflating: build/lib/torch/include/ATen/ops/dropout_native.h 2024-08-20T21:38:18.0668308Z inflating: build/lib/torch/include/ATen/ops/dropout_ops.h 2024-08-20T21:38:18.0668538Z inflating: build/lib/torch/include/ATen/ops/dsplit.h 2024-08-20T21:38:18.0669008Z inflating: build/lib/torch/include/ATen/ops/dsplit_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0669306Z inflating: build/lib/torch/include/ATen/ops/dsplit_native.h 2024-08-20T21:38:18.0669655Z inflating: build/lib/torch/include/ATen/ops/dsplit_ops.h 2024-08-20T21:38:18.0669908Z inflating: build/lib/torch/include/ATen/ops/dstack.h 2024-08-20T21:38:18.0670407Z inflating: build/lib/torch/include/ATen/ops/dstack_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0670660Z inflating: build/lib/torch/include/ATen/ops/dstack_native.h 2024-08-20T21:38:18.0670942Z inflating: build/lib/torch/include/ATen/ops/dstack_ops.h 2024-08-20T21:38:18.0671157Z inflating: build/lib/torch/include/ATen/ops/einsum.h 2024-08-20T21:38:18.0671642Z inflating: build/lib/torch/include/ATen/ops/einsum_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0671908Z inflating: build/lib/torch/include/ATen/ops/einsum_native.h 2024-08-20T21:38:18.0672170Z inflating: build/lib/torch/include/ATen/ops/einsum_ops.h 2024-08-20T21:38:18.0672362Z inflating: build/lib/torch/include/ATen/ops/elu.h 2024-08-20T21:38:18.0672633Z inflating: build/lib/torch/include/ATen/ops/elu_backward.h 2024-08-20T21:38:18.0673260Z inflating: build/lib/torch/include/ATen/ops/elu_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0673593Z inflating: build/lib/torch/include/ATen/ops/elu_backward_cpu_dispatch.h 2024-08-20T21:38:18.0673987Z inflating: build/lib/torch/include/ATen/ops/elu_backward_cuda_dispatch.h 2024-08-20T21:38:18.0674266Z inflating: build/lib/torch/include/ATen/ops/elu_backward_meta.h 2024-08-20T21:38:18.0674655Z inflating: build/lib/torch/include/ATen/ops/elu_backward_meta_dispatch.h 2024-08-20T21:38:18.0675068Z inflating: build/lib/torch/include/ATen/ops/elu_backward_native.h 2024-08-20T21:38:18.0675347Z inflating: build/lib/torch/include/ATen/ops/elu_backward_ops.h 2024-08-20T21:38:18.0675926Z inflating: build/lib/torch/include/ATen/ops/elu_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0676236Z inflating: build/lib/torch/include/ATen/ops/elu_cpu_dispatch.h 2024-08-20T21:38:18.0676513Z inflating: build/lib/torch/include/ATen/ops/elu_cuda_dispatch.h 2024-08-20T21:38:18.0676735Z inflating: build/lib/torch/include/ATen/ops/elu_meta.h 2024-08-20T21:38:18.0677048Z inflating: build/lib/torch/include/ATen/ops/elu_meta_dispatch.h 2024-08-20T21:38:18.0677290Z inflating: build/lib/torch/include/ATen/ops/elu_native.h 2024-08-20T21:38:18.0677540Z inflating: build/lib/torch/include/ATen/ops/elu_ops.h 2024-08-20T21:38:18.0677822Z inflating: build/lib/torch/include/ATen/ops/embedding.h 2024-08-20T21:38:18.0678165Z inflating: build/lib/torch/include/ATen/ops/embedding_backward.h 2024-08-20T21:38:18.0678734Z inflating: build/lib/torch/include/ATen/ops/embedding_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0679073Z inflating: build/lib/torch/include/ATen/ops/embedding_backward_native.h 2024-08-20T21:38:18.0679439Z inflating: build/lib/torch/include/ATen/ops/embedding_backward_ops.h 2024-08-20T21:38:18.0679695Z inflating: build/lib/torch/include/ATen/ops/embedding_bag.h 2024-08-20T21:38:18.0680227Z inflating: build/lib/torch/include/ATen/ops/embedding_bag_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0680577Z inflating: build/lib/torch/include/ATen/ops/embedding_bag_native.h 2024-08-20T21:38:18.0680855Z inflating: build/lib/torch/include/ATen/ops/embedding_bag_ops.h 2024-08-20T21:38:18.0681381Z inflating: build/lib/torch/include/ATen/ops/embedding_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0681756Z inflating: build/lib/torch/include/ATen/ops/embedding_dense_backward.h 2024-08-20T21:38:18.0682363Z inflating: build/lib/torch/include/ATen/ops/embedding_dense_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0682785Z inflating: build/lib/torch/include/ATen/ops/embedding_dense_backward_cpu_dispatch.h 2024-08-20T21:38:18.0683243Z inflating: build/lib/torch/include/ATen/ops/embedding_dense_backward_cuda_dispatch.h 2024-08-20T21:38:18.0683611Z inflating: build/lib/torch/include/ATen/ops/embedding_dense_backward_native.h 2024-08-20T21:38:18.0684016Z inflating: build/lib/torch/include/ATen/ops/embedding_dense_backward_ops.h 2024-08-20T21:38:18.0684291Z inflating: build/lib/torch/include/ATen/ops/embedding_native.h 2024-08-20T21:38:18.0684558Z inflating: build/lib/torch/include/ATen/ops/embedding_ops.h 2024-08-20T21:38:18.0684869Z inflating: build/lib/torch/include/ATen/ops/embedding_renorm.h 2024-08-20T21:38:18.0685424Z inflating: build/lib/torch/include/ATen/ops/embedding_renorm_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0685817Z inflating: build/lib/torch/include/ATen/ops/embedding_renorm_cpu_dispatch.h 2024-08-20T21:38:18.0686204Z inflating: build/lib/torch/include/ATen/ops/embedding_renorm_cuda_dispatch.h 2024-08-20T21:38:18.0686607Z inflating: build/lib/torch/include/ATen/ops/embedding_renorm_meta_dispatch.h 2024-08-20T21:38:18.0686939Z inflating: build/lib/torch/include/ATen/ops/embedding_renorm_native.h 2024-08-20T21:38:18.0687236Z inflating: build/lib/torch/include/ATen/ops/embedding_renorm_ops.h 2024-08-20T21:38:18.0687624Z inflating: build/lib/torch/include/ATen/ops/embedding_sparse_backward.h 2024-08-20T21:38:18.0688234Z inflating: build/lib/torch/include/ATen/ops/embedding_sparse_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0688659Z inflating: build/lib/torch/include/ATen/ops/embedding_sparse_backward_native.h 2024-08-20T21:38:18.0689035Z inflating: build/lib/torch/include/ATen/ops/embedding_sparse_backward_ops.h 2024-08-20T21:38:18.0689474Z inflating: build/lib/torch/include/ATen/ops/empty.h 2024-08-20T21:38:18.0690310Z inflating: build/lib/torch/include/ATen/ops/empty_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0691090Z inflating: build/lib/torch/include/ATen/ops/empty_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0691623Z inflating: build/lib/torch/include/ATen/ops/empty_cpu_dispatch.h 2024-08-20T21:38:18.0692153Z inflating: build/lib/torch/include/ATen/ops/empty_cuda_dispatch.h 2024-08-20T21:38:18.0692586Z inflating: build/lib/torch/include/ATen/ops/empty_like.h 2024-08-20T21:38:18.0693396Z inflating: build/lib/torch/include/ATen/ops/empty_like_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0693920Z inflating: build/lib/torch/include/ATen/ops/empty_like_native.h 2024-08-20T21:38:18.0694400Z inflating: build/lib/torch/include/ATen/ops/empty_like_ops.h 2024-08-20T21:38:18.0695014Z inflating: build/lib/torch/include/ATen/ops/empty_meta_dispatch.h 2024-08-20T21:38:18.0695497Z inflating: build/lib/torch/include/ATen/ops/empty_native.h 2024-08-20T21:38:18.0695900Z inflating: build/lib/torch/include/ATen/ops/empty_ops.h 2024-08-20T21:38:18.0696376Z inflating: build/lib/torch/include/ATen/ops/empty_permuted.h 2024-08-20T21:38:18.0697332Z inflating: build/lib/torch/include/ATen/ops/empty_permuted_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0697893Z inflating: build/lib/torch/include/ATen/ops/empty_permuted_native.h 2024-08-20T21:38:18.0698433Z inflating: build/lib/torch/include/ATen/ops/empty_permuted_ops.h 2024-08-20T21:38:18.0698921Z inflating: build/lib/torch/include/ATen/ops/empty_quantized.h 2024-08-20T21:38:18.0699922Z inflating: build/lib/torch/include/ATen/ops/empty_quantized_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0700513Z inflating: build/lib/torch/include/ATen/ops/empty_quantized_native.h 2024-08-20T21:38:18.0701049Z inflating: build/lib/torch/include/ATen/ops/empty_quantized_ops.h 2024-08-20T21:38:18.0701527Z inflating: build/lib/torch/include/ATen/ops/empty_strided.h 2024-08-20T21:38:18.0702457Z inflating: build/lib/torch/include/ATen/ops/empty_strided_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0703075Z inflating: build/lib/torch/include/ATen/ops/empty_strided_cpu_dispatch.h 2024-08-20T21:38:18.0703704Z inflating: build/lib/torch/include/ATen/ops/empty_strided_cuda_dispatch.h 2024-08-20T21:38:18.0704357Z inflating: build/lib/torch/include/ATen/ops/empty_strided_meta_dispatch.h 2024-08-20T21:38:18.0704916Z inflating: build/lib/torch/include/ATen/ops/empty_strided_native.h 2024-08-20T21:38:18.0705451Z inflating: build/lib/torch/include/ATen/ops/empty_strided_ops.h 2024-08-20T21:38:18.0705801Z inflating: build/lib/torch/include/ATen/ops/eq.h 2024-08-20T21:38:18.0706743Z inflating: build/lib/torch/include/ATen/ops/eq_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0707252Z inflating: build/lib/torch/include/ATen/ops/eq_cpu_dispatch.h 2024-08-20T21:38:18.0707747Z inflating: build/lib/torch/include/ATen/ops/eq_cuda_dispatch.h 2024-08-20T21:38:18.0708137Z inflating: build/lib/torch/include/ATen/ops/eq_meta.h 2024-08-20T21:38:18.0708650Z inflating: build/lib/torch/include/ATen/ops/eq_meta_dispatch.h 2024-08-20T21:38:18.0709050Z inflating: build/lib/torch/include/ATen/ops/eq_native.h 2024-08-20T21:38:18.0709443Z inflating: build/lib/torch/include/ATen/ops/eq_ops.h 2024-08-20T21:38:18.0709745Z inflating: build/lib/torch/include/ATen/ops/equal.h 2024-08-20T21:38:18.0710265Z inflating: build/lib/torch/include/ATen/ops/equal_cpu_dispatch.h 2024-08-20T21:38:18.0710812Z inflating: build/lib/torch/include/ATen/ops/equal_cuda_dispatch.h 2024-08-20T21:38:18.0711263Z inflating: build/lib/torch/include/ATen/ops/equal_native.h 2024-08-20T21:38:18.0711669Z inflating: build/lib/torch/include/ATen/ops/equal_ops.h 2024-08-20T21:38:18.0712049Z inflating: build/lib/torch/include/ATen/ops/erf.h 2024-08-20T21:38:18.0712994Z inflating: build/lib/torch/include/ATen/ops/erf_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0713508Z inflating: build/lib/torch/include/ATen/ops/erf_cpu_dispatch.h 2024-08-20T21:38:18.0714031Z inflating: build/lib/torch/include/ATen/ops/erf_cuda_dispatch.h 2024-08-20T21:38:18.0714419Z inflating: build/lib/torch/include/ATen/ops/erf_meta.h 2024-08-20T21:38:18.0714929Z inflating: build/lib/torch/include/ATen/ops/erf_meta_dispatch.h 2024-08-20T21:38:18.0715377Z inflating: build/lib/torch/include/ATen/ops/erf_native.h 2024-08-20T21:38:18.0715759Z inflating: build/lib/torch/include/ATen/ops/erf_ops.h 2024-08-20T21:38:18.0716129Z inflating: build/lib/torch/include/ATen/ops/erfc.h 2024-08-20T21:38:18.0717115Z inflating: build/lib/torch/include/ATen/ops/erfc_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0717709Z inflating: build/lib/torch/include/ATen/ops/erfc_cpu_dispatch.h 2024-08-20T21:38:18.0718255Z inflating: build/lib/torch/include/ATen/ops/erfc_cuda_dispatch.h 2024-08-20T21:38:18.0718671Z inflating: build/lib/torch/include/ATen/ops/erfc_meta.h 2024-08-20T21:38:18.0719190Z inflating: build/lib/torch/include/ATen/ops/erfc_meta_dispatch.h 2024-08-20T21:38:18.0719641Z inflating: build/lib/torch/include/ATen/ops/erfc_native.h 2024-08-20T21:38:18.0720054Z inflating: build/lib/torch/include/ATen/ops/erfc_ops.h 2024-08-20T21:38:18.0720432Z inflating: build/lib/torch/include/ATen/ops/erfinv.h 2024-08-20T21:38:18.0721449Z inflating: build/lib/torch/include/ATen/ops/erfinv_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0721979Z inflating: build/lib/torch/include/ATen/ops/erfinv_cpu_dispatch.h 2024-08-20T21:38:18.0722558Z inflating: build/lib/torch/include/ATen/ops/erfinv_cuda_dispatch.h 2024-08-20T21:38:18.0723187Z inflating: build/lib/torch/include/ATen/ops/erfinv_meta.h 2024-08-20T21:38:18.0723746Z inflating: build/lib/torch/include/ATen/ops/erfinv_meta_dispatch.h 2024-08-20T21:38:18.0724286Z inflating: build/lib/torch/include/ATen/ops/erfinv_native.h 2024-08-20T21:38:18.0724702Z inflating: build/lib/torch/include/ATen/ops/erfinv_ops.h 2024-08-20T21:38:18.0725060Z inflating: build/lib/torch/include/ATen/ops/exp.h 2024-08-20T21:38:18.0725445Z inflating: build/lib/torch/include/ATen/ops/exp2.h 2024-08-20T21:38:18.0726584Z inflating: build/lib/torch/include/ATen/ops/exp2_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0727117Z inflating: build/lib/torch/include/ATen/ops/exp2_cpu_dispatch.h 2024-08-20T21:38:18.0727637Z inflating: build/lib/torch/include/ATen/ops/exp2_cuda_dispatch.h 2024-08-20T21:38:18.0728046Z inflating: build/lib/torch/include/ATen/ops/exp2_meta.h 2024-08-20T21:38:18.0728578Z inflating: build/lib/torch/include/ATen/ops/exp2_meta_dispatch.h 2024-08-20T21:38:18.0729020Z inflating: build/lib/torch/include/ATen/ops/exp2_native.h 2024-08-20T21:38:18.0729422Z inflating: build/lib/torch/include/ATen/ops/exp2_ops.h 2024-08-20T21:38:18.0730418Z inflating: build/lib/torch/include/ATen/ops/exp_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0730925Z inflating: build/lib/torch/include/ATen/ops/exp_cpu_dispatch.h 2024-08-20T21:38:18.0731432Z inflating: build/lib/torch/include/ATen/ops/exp_cuda_dispatch.h 2024-08-20T21:38:18.0731843Z inflating: build/lib/torch/include/ATen/ops/exp_meta.h 2024-08-20T21:38:18.0732356Z inflating: build/lib/torch/include/ATen/ops/exp_meta_dispatch.h 2024-08-20T21:38:18.0732798Z inflating: build/lib/torch/include/ATen/ops/exp_native.h 2024-08-20T21:38:18.0733183Z inflating: build/lib/torch/include/ATen/ops/exp_ops.h 2024-08-20T21:38:18.0733559Z inflating: build/lib/torch/include/ATen/ops/expand.h 2024-08-20T21:38:18.0733995Z inflating: build/lib/torch/include/ATen/ops/expand_as.h 2024-08-20T21:38:18.0734856Z inflating: build/lib/torch/include/ATen/ops/expand_as_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0735535Z inflating: build/lib/torch/include/ATen/ops/expand_as_native.h 2024-08-20T21:38:18.0736026Z inflating: build/lib/torch/include/ATen/ops/expand_as_ops.h 2024-08-20T21:38:18.0737075Z inflating: build/lib/torch/include/ATen/ops/expand_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0737518Z inflating: build/lib/torch/include/ATen/ops/expand_copy.h 2024-08-20T21:38:18.0738408Z inflating: build/lib/torch/include/ATen/ops/expand_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0739481Z inflating: build/lib/torch/include/ATen/ops/expand_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0740107Z inflating: build/lib/torch/include/ATen/ops/expand_copy_native.h 2024-08-20T21:38:18.0740603Z inflating: build/lib/torch/include/ATen/ops/expand_copy_ops.h 2024-08-20T21:38:18.0741063Z inflating: build/lib/torch/include/ATen/ops/expand_native.h 2024-08-20T21:38:18.0741630Z inflating: build/lib/torch/include/ATen/ops/expand_ops.h 2024-08-20T21:38:18.0742006Z inflating: build/lib/torch/include/ATen/ops/expm1.h 2024-08-20T21:38:18.0743188Z inflating: build/lib/torch/include/ATen/ops/expm1_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0743730Z inflating: build/lib/torch/include/ATen/ops/expm1_cpu_dispatch.h 2024-08-20T21:38:18.0744267Z inflating: build/lib/torch/include/ATen/ops/expm1_cuda_dispatch.h 2024-08-20T21:38:18.0744694Z inflating: build/lib/torch/include/ATen/ops/expm1_meta.h 2024-08-20T21:38:18.0745218Z inflating: build/lib/torch/include/ATen/ops/expm1_meta_dispatch.h 2024-08-20T21:38:18.0745658Z inflating: build/lib/torch/include/ATen/ops/expm1_native.h 2024-08-20T21:38:18.0746082Z inflating: build/lib/torch/include/ATen/ops/expm1_ops.h 2024-08-20T21:38:18.0746518Z inflating: build/lib/torch/include/ATen/ops/exponential.h 2024-08-20T21:38:18.0747454Z inflating: build/lib/torch/include/ATen/ops/exponential_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0748179Z inflating: build/lib/torch/include/ATen/ops/exponential_cpu_dispatch.h 2024-08-20T21:38:18.0748909Z inflating: build/lib/torch/include/ATen/ops/exponential_cuda_dispatch.h 2024-08-20T21:38:18.0749538Z inflating: build/lib/torch/include/ATen/ops/exponential_meta_dispatch.h 2024-08-20T21:38:18.0750080Z inflating: build/lib/torch/include/ATen/ops/exponential_native.h 2024-08-20T21:38:18.0750581Z inflating: build/lib/torch/include/ATen/ops/exponential_ops.h 2024-08-20T21:38:18.0750947Z inflating: build/lib/torch/include/ATen/ops/eye.h 2024-08-20T21:38:18.0751736Z inflating: build/lib/torch/include/ATen/ops/eye_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0752231Z inflating: build/lib/torch/include/ATen/ops/eye_cpu_dispatch.h 2024-08-20T21:38:18.0752765Z inflating: build/lib/torch/include/ATen/ops/eye_cuda_dispatch.h 2024-08-20T21:38:18.0753281Z inflating: build/lib/torch/include/ATen/ops/eye_meta_dispatch.h 2024-08-20T21:38:18.0753700Z inflating: build/lib/torch/include/ATen/ops/eye_native.h 2024-08-20T21:38:18.0754097Z inflating: build/lib/torch/include/ATen/ops/eye_ops.h 2024-08-20T21:38:18.0754791Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_channel_affine.h 2024-08-20T21:38:18.0755599Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask.h 2024-08-20T21:38:18.0756521Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward.h 2024-08-20T21:38:18.0757847Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0758847Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_native.h 2024-08-20T21:38:18.0759788Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_ops.h 2024-08-20T21:38:18.0761015Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0761983Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_cpu_dispatch.h 2024-08-20T21:38:18.0762965Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_cuda_dispatch.h 2024-08-20T21:38:18.0763861Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_native.h 2024-08-20T21:38:18.0764711Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_ops.h 2024-08-20T21:38:18.0765815Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_channel_affine_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0766607Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_channel_affine_native.h 2024-08-20T21:38:18.0767318Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_channel_affine_ops.h 2024-08-20T21:38:18.0768113Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_tensor_affine.h 2024-08-20T21:38:18.0768920Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask.h 2024-08-20T21:38:18.0769801Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward.h 2024-08-20T21:38:18.0771121Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0772110Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_native.h 2024-08-20T21:38:18.0773052Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_ops.h 2024-08-20T21:38:18.0774285Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0775220Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_cpu_dispatch.h 2024-08-20T21:38:18.0776188Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_cuda_dispatch.h 2024-08-20T21:38:18.0777064Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_native.h 2024-08-20T21:38:18.0777948Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_ops.h 2024-08-20T21:38:18.0779067Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_tensor_affine_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0779882Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_tensor_affine_native.h 2024-08-20T21:38:18.0780605Z inflating: build/lib/torch/include/ATen/ops/fake_quantize_per_tensor_affine_ops.h 2024-08-20T21:38:18.0781221Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_fp16_weight.h 2024-08-20T21:38:18.0782280Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_fp16_weight_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0783105Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation.h 2024-08-20T21:38:18.0784320Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0785193Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_native.h 2024-08-20T21:38:18.0786048Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_ops.h 2024-08-20T21:38:18.0786750Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_fp16_weight_native.h 2024-08-20T21:38:18.0787408Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_fp16_weight_ops.h 2024-08-20T21:38:18.0788031Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_int8_weight.h 2024-08-20T21:38:18.0789080Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_int8_weight_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0790008Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation.h 2024-08-20T21:38:18.0791225Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0792089Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation_native.h 2024-08-20T21:38:18.0792961Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation_ops.h 2024-08-20T21:38:18.0793615Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_int8_weight_native.h 2024-08-20T21:38:18.0794272Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_int8_weight_ops.h 2024-08-20T21:38:18.0794952Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_quantize_weight.h 2024-08-20T21:38:18.0796048Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_quantize_weight_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0796903Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_quantize_weight_native.h 2024-08-20T21:38:18.0797608Z inflating: build/lib/torch/include/ATen/ops/fbgemm_linear_quantize_weight_ops.h 2024-08-20T21:38:18.0798301Z inflating: build/lib/torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16.h 2024-08-20T21:38:18.0799318Z inflating: build/lib/torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0799997Z inflating: build/lib/torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16_native.h 2024-08-20T21:38:18.0800696Z inflating: build/lib/torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16_ops.h 2024-08-20T21:38:18.0801374Z inflating: build/lib/torch/include/ATen/ops/fbgemm_pack_quantized_matrix.h 2024-08-20T21:38:18.0802657Z inflating: build/lib/torch/include/ATen/ops/fbgemm_pack_quantized_matrix_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0803433Z inflating: build/lib/torch/include/ATen/ops/fbgemm_pack_quantized_matrix_native.h 2024-08-20T21:38:18.0804128Z inflating: build/lib/torch/include/ATen/ops/fbgemm_pack_quantized_matrix_ops.h 2024-08-20T21:38:18.0804700Z inflating: build/lib/torch/include/ATen/ops/feature_alpha_dropout.h 2024-08-20T21:38:18.0805727Z inflating: build/lib/torch/include/ATen/ops/feature_alpha_dropout_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0806375Z inflating: build/lib/torch/include/ATen/ops/feature_alpha_dropout_native.h 2024-08-20T21:38:18.0807006Z inflating: build/lib/torch/include/ATen/ops/feature_alpha_dropout_ops.h 2024-08-20T21:38:18.0807510Z inflating: build/lib/torch/include/ATen/ops/feature_dropout.h 2024-08-20T21:38:18.0808449Z inflating: build/lib/torch/include/ATen/ops/feature_dropout_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0809041Z inflating: build/lib/torch/include/ATen/ops/feature_dropout_native.h 2024-08-20T21:38:18.0809586Z inflating: build/lib/torch/include/ATen/ops/feature_dropout_ops.h 2024-08-20T21:38:18.0809983Z inflating: build/lib/torch/include/ATen/ops/fft_fft.h 2024-08-20T21:38:18.0810390Z inflating: build/lib/torch/include/ATen/ops/fft_fft2.h 2024-08-20T21:38:18.0811236Z inflating: build/lib/torch/include/ATen/ops/fft_fft2_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0811719Z inflating: build/lib/torch/include/ATen/ops/fft_fft2_native.h 2024-08-20T21:38:18.0812173Z inflating: build/lib/torch/include/ATen/ops/fft_fft2_ops.h 2024-08-20T21:38:18.0813017Z inflating: build/lib/torch/include/ATen/ops/fft_fft_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0813504Z inflating: build/lib/torch/include/ATen/ops/fft_fft_native.h 2024-08-20T21:38:18.0813933Z inflating: build/lib/torch/include/ATen/ops/fft_fft_ops.h 2024-08-20T21:38:18.0814358Z inflating: build/lib/torch/include/ATen/ops/fft_fftfreq.h 2024-08-20T21:38:18.0815254Z inflating: build/lib/torch/include/ATen/ops/fft_fftfreq_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0815873Z inflating: build/lib/torch/include/ATen/ops/fft_fftfreq_native.h 2024-08-20T21:38:18.0816364Z inflating: build/lib/torch/include/ATen/ops/fft_fftfreq_ops.h 2024-08-20T21:38:18.0816773Z inflating: build/lib/torch/include/ATen/ops/fft_fftn.h 2024-08-20T21:38:18.0817620Z inflating: build/lib/torch/include/ATen/ops/fft_fftn_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0818101Z inflating: build/lib/torch/include/ATen/ops/fft_fftn_native.h 2024-08-20T21:38:18.0818562Z inflating: build/lib/torch/include/ATen/ops/fft_fftn_ops.h 2024-08-20T21:38:18.0819001Z inflating: build/lib/torch/include/ATen/ops/fft_fftshift.h 2024-08-20T21:38:18.0819973Z inflating: build/lib/torch/include/ATen/ops/fft_fftshift_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0820507Z inflating: build/lib/torch/include/ATen/ops/fft_fftshift_native.h 2024-08-20T21:38:18.0821004Z inflating: build/lib/torch/include/ATen/ops/fft_fftshift_ops.h 2024-08-20T21:38:18.0821537Z inflating: build/lib/torch/include/ATen/ops/fft_hfft.h 2024-08-20T21:38:18.0821945Z inflating: build/lib/torch/include/ATen/ops/fft_hfft2.h 2024-08-20T21:38:18.0822793Z inflating: build/lib/torch/include/ATen/ops/fft_hfft2_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0823494Z inflating: build/lib/torch/include/ATen/ops/fft_hfft2_native.h 2024-08-20T21:38:18.0823956Z inflating: build/lib/torch/include/ATen/ops/fft_hfft2_ops.h 2024-08-20T21:38:18.0824823Z inflating: build/lib/torch/include/ATen/ops/fft_hfft_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0825298Z inflating: build/lib/torch/include/ATen/ops/fft_hfft_native.h 2024-08-20T21:38:18.0825881Z inflating: build/lib/torch/include/ATen/ops/fft_hfft_ops.h 2024-08-20T21:38:18.0826221Z inflating: build/lib/torch/include/ATen/ops/fft_hfftn.h 2024-08-20T21:38:18.0826678Z inflating: build/lib/torch/include/ATen/ops/fft_hfftn_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0826953Z inflating: build/lib/torch/include/ATen/ops/fft_hfftn_native.h 2024-08-20T21:38:18.0827402Z inflating: build/lib/torch/include/ATen/ops/fft_hfftn_ops.h 2024-08-20T21:38:18.0827790Z inflating: build/lib/torch/include/ATen/ops/fft_ifft.h 2024-08-20T21:38:18.0828208Z inflating: build/lib/torch/include/ATen/ops/fft_ifft2.h 2024-08-20T21:38:18.0829063Z inflating: build/lib/torch/include/ATen/ops/fft_ifft2_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0829552Z inflating: build/lib/torch/include/ATen/ops/fft_ifft2_native.h 2024-08-20T21:38:18.0830044Z inflating: build/lib/torch/include/ATen/ops/fft_ifft2_ops.h 2024-08-20T21:38:18.0830975Z inflating: build/lib/torch/include/ATen/ops/fft_ifft_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0831461Z inflating: build/lib/torch/include/ATen/ops/fft_ifft_native.h 2024-08-20T21:38:18.0831930Z inflating: build/lib/torch/include/ATen/ops/fft_ifft_ops.h 2024-08-20T21:38:18.0832344Z inflating: build/lib/torch/include/ATen/ops/fft_ifftn.h 2024-08-20T21:38:18.0833212Z inflating: build/lib/torch/include/ATen/ops/fft_ifftn_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0833721Z inflating: build/lib/torch/include/ATen/ops/fft_ifftn_native.h 2024-08-20T21:38:18.0834177Z inflating: build/lib/torch/include/ATen/ops/fft_ifftn_ops.h 2024-08-20T21:38:18.0834650Z inflating: build/lib/torch/include/ATen/ops/fft_ifftshift.h 2024-08-20T21:38:18.0835638Z inflating: build/lib/torch/include/ATen/ops/fft_ifftshift_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0836187Z inflating: build/lib/torch/include/ATen/ops/fft_ifftshift_native.h 2024-08-20T21:38:18.0836711Z inflating: build/lib/torch/include/ATen/ops/fft_ifftshift_ops.h 2024-08-20T21:38:18.0837120Z inflating: build/lib/torch/include/ATen/ops/fft_ihfft.h 2024-08-20T21:38:18.0837545Z inflating: build/lib/torch/include/ATen/ops/fft_ihfft2.h 2024-08-20T21:38:18.0838414Z inflating: build/lib/torch/include/ATen/ops/fft_ihfft2_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0839095Z inflating: build/lib/torch/include/ATen/ops/fft_ihfft2_native.h 2024-08-20T21:38:18.0839586Z inflating: build/lib/torch/include/ATen/ops/fft_ihfft2_ops.h 2024-08-20T21:38:18.0840302Z inflating: build/lib/torch/include/ATen/ops/fft_ihfft_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0840794Z inflating: build/lib/torch/include/ATen/ops/fft_ihfft_native.h 2024-08-20T21:38:18.0841268Z inflating: build/lib/torch/include/ATen/ops/fft_ihfft_ops.h 2024-08-20T21:38:18.0841686Z inflating: build/lib/torch/include/ATen/ops/fft_ihfftn.h 2024-08-20T21:38:18.0842558Z inflating: build/lib/torch/include/ATen/ops/fft_ihfftn_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0843077Z inflating: build/lib/torch/include/ATen/ops/fft_ihfftn_native.h 2024-08-20T21:38:18.0843539Z inflating: build/lib/torch/include/ATen/ops/fft_ihfftn_ops.h 2024-08-20T21:38:18.0844087Z inflating: build/lib/torch/include/ATen/ops/fft_irfft.h 2024-08-20T21:38:18.0844535Z inflating: build/lib/torch/include/ATen/ops/fft_irfft2.h 2024-08-20T21:38:18.0845399Z inflating: build/lib/torch/include/ATen/ops/fft_irfft2_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0845919Z inflating: build/lib/torch/include/ATen/ops/fft_irfft2_native.h 2024-08-20T21:38:18.0846384Z inflating: build/lib/torch/include/ATen/ops/fft_irfft2_ops.h 2024-08-20T21:38:18.0847239Z inflating: build/lib/torch/include/ATen/ops/fft_irfft_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0847651Z inflating: build/lib/torch/include/ATen/ops/fft_irfft_native.h 2024-08-20T21:38:18.0848111Z inflating: build/lib/torch/include/ATen/ops/fft_irfft_ops.h 2024-08-20T21:38:18.0848545Z inflating: build/lib/torch/include/ATen/ops/fft_irfftn.h 2024-08-20T21:38:18.0849414Z inflating: build/lib/torch/include/ATen/ops/fft_irfftn_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0849946Z inflating: build/lib/torch/include/ATen/ops/fft_irfftn_native.h 2024-08-20T21:38:18.0850419Z inflating: build/lib/torch/include/ATen/ops/fft_irfftn_ops.h 2024-08-20T21:38:18.0850829Z inflating: build/lib/torch/include/ATen/ops/fft_rfft.h 2024-08-20T21:38:18.0851253Z inflating: build/lib/torch/include/ATen/ops/fft_rfft2.h 2024-08-20T21:38:18.0852093Z inflating: build/lib/torch/include/ATen/ops/fft_rfft2_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0852606Z inflating: build/lib/torch/include/ATen/ops/fft_rfft2_native.h 2024-08-20T21:38:18.0853078Z inflating: build/lib/torch/include/ATen/ops/fft_rfft2_ops.h 2024-08-20T21:38:18.0853927Z inflating: build/lib/torch/include/ATen/ops/fft_rfft_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0854432Z inflating: build/lib/torch/include/ATen/ops/fft_rfft_native.h 2024-08-20T21:38:18.0854875Z inflating: build/lib/torch/include/ATen/ops/fft_rfft_ops.h 2024-08-20T21:38:18.0855334Z inflating: build/lib/torch/include/ATen/ops/fft_rfftfreq.h 2024-08-20T21:38:18.0856248Z inflating: build/lib/torch/include/ATen/ops/fft_rfftfreq_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0856772Z inflating: build/lib/torch/include/ATen/ops/fft_rfftfreq_native.h 2024-08-20T21:38:18.0857280Z inflating: build/lib/torch/include/ATen/ops/fft_rfftfreq_ops.h 2024-08-20T21:38:18.0857681Z inflating: build/lib/torch/include/ATen/ops/fft_rfftn.h 2024-08-20T21:38:18.0858557Z inflating: build/lib/torch/include/ATen/ops/fft_rfftn_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0859050Z inflating: build/lib/torch/include/ATen/ops/fft_rfftn_native.h 2024-08-20T21:38:18.0859513Z inflating: build/lib/torch/include/ATen/ops/fft_rfftn_ops.h 2024-08-20T21:38:18.0859976Z inflating: build/lib/torch/include/ATen/ops/fill.h 2024-08-20T21:38:18.0860772Z inflating: build/lib/torch/include/ATen/ops/fill_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0861297Z inflating: build/lib/torch/include/ATen/ops/fill_cpu_dispatch.h 2024-08-20T21:38:18.0861846Z inflating: build/lib/torch/include/ATen/ops/fill_cuda_dispatch.h 2024-08-20T21:38:18.0862406Z inflating: build/lib/torch/include/ATen/ops/fill_diagonal.h 2024-08-20T21:38:18.0863302Z inflating: build/lib/torch/include/ATen/ops/fill_diagonal_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0863861Z inflating: build/lib/torch/include/ATen/ops/fill_diagonal_native.h 2024-08-20T21:38:18.0864369Z inflating: build/lib/torch/include/ATen/ops/fill_diagonal_ops.h 2024-08-20T21:38:18.0864905Z inflating: build/lib/torch/include/ATen/ops/fill_meta_dispatch.h 2024-08-20T21:38:18.0865353Z inflating: build/lib/torch/include/ATen/ops/fill_native.h 2024-08-20T21:38:18.0865769Z inflating: build/lib/torch/include/ATen/ops/fill_ops.h 2024-08-20T21:38:18.0866131Z inflating: build/lib/torch/include/ATen/ops/fix.h 2024-08-20T21:38:18.0866914Z inflating: build/lib/torch/include/ATen/ops/fix_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0867444Z inflating: build/lib/torch/include/ATen/ops/fix_native.h 2024-08-20T21:38:18.0867855Z inflating: build/lib/torch/include/ATen/ops/fix_ops.h 2024-08-20T21:38:18.0868254Z inflating: build/lib/torch/include/ATen/ops/flatten.h 2024-08-20T21:38:18.0869097Z inflating: build/lib/torch/include/ATen/ops/flatten_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0869681Z inflating: build/lib/torch/include/ATen/ops/flatten_dense_tensors.h 2024-08-20T21:38:18.0870683Z inflating: build/lib/torch/include/ATen/ops/flatten_dense_tensors_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0871358Z inflating: build/lib/torch/include/ATen/ops/flatten_dense_tensors_native.h 2024-08-20T21:38:18.0872033Z inflating: build/lib/torch/include/ATen/ops/flatten_dense_tensors_ops.h 2024-08-20T21:38:18.0872509Z inflating: build/lib/torch/include/ATen/ops/flatten_native.h 2024-08-20T21:38:18.0872952Z inflating: build/lib/torch/include/ATen/ops/flatten_ops.h 2024-08-20T21:38:18.0873334Z inflating: build/lib/torch/include/ATen/ops/flip.h 2024-08-20T21:38:18.0874144Z inflating: build/lib/torch/include/ATen/ops/flip_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0874676Z inflating: build/lib/torch/include/ATen/ops/flip_cpu_dispatch.h 2024-08-20T21:38:18.0875193Z inflating: build/lib/torch/include/ATen/ops/flip_cuda_dispatch.h 2024-08-20T21:38:18.0875651Z inflating: build/lib/torch/include/ATen/ops/flip_native.h 2024-08-20T21:38:18.0876016Z inflating: build/lib/torch/include/ATen/ops/flip_ops.h 2024-08-20T21:38:18.0876411Z inflating: build/lib/torch/include/ATen/ops/fliplr.h 2024-08-20T21:38:18.0877320Z inflating: build/lib/torch/include/ATen/ops/fliplr_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0877781Z inflating: build/lib/torch/include/ATen/ops/fliplr_native.h 2024-08-20T21:38:18.0878216Z inflating: build/lib/torch/include/ATen/ops/fliplr_ops.h 2024-08-20T21:38:18.0878615Z inflating: build/lib/torch/include/ATen/ops/flipud.h 2024-08-20T21:38:18.0879310Z inflating: build/lib/torch/include/ATen/ops/flipud_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0879804Z inflating: build/lib/torch/include/ATen/ops/flipud_native.h 2024-08-20T21:38:18.0880241Z inflating: build/lib/torch/include/ATen/ops/flipud_ops.h 2024-08-20T21:38:18.0880665Z inflating: build/lib/torch/include/ATen/ops/float_power.h 2024-08-20T21:38:18.0881560Z inflating: build/lib/torch/include/ATen/ops/float_power_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0882091Z inflating: build/lib/torch/include/ATen/ops/float_power_native.h 2024-08-20T21:38:18.0882580Z inflating: build/lib/torch/include/ATen/ops/float_power_ops.h 2024-08-20T21:38:18.0882970Z inflating: build/lib/torch/include/ATen/ops/floor.h 2024-08-20T21:38:18.0883986Z inflating: build/lib/torch/include/ATen/ops/floor_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0884345Z inflating: build/lib/torch/include/ATen/ops/floor_cpu_dispatch.h 2024-08-20T21:38:18.0884921Z inflating: build/lib/torch/include/ATen/ops/floor_cuda_dispatch.h 2024-08-20T21:38:18.0885344Z inflating: build/lib/torch/include/ATen/ops/floor_divide.h 2024-08-20T21:38:18.0886394Z inflating: build/lib/torch/include/ATen/ops/floor_divide_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0887037Z inflating: build/lib/torch/include/ATen/ops/floor_divide_cpu_dispatch.h 2024-08-20T21:38:18.0887651Z inflating: build/lib/torch/include/ATen/ops/floor_divide_cuda_dispatch.h 2024-08-20T21:38:18.0888298Z inflating: build/lib/torch/include/ATen/ops/floor_divide_meta_dispatch.h 2024-08-20T21:38:18.0888832Z inflating: build/lib/torch/include/ATen/ops/floor_divide_native.h 2024-08-20T21:38:18.0889209Z inflating: build/lib/torch/include/ATen/ops/floor_divide_ops.h 2024-08-20T21:38:18.0889630Z inflating: build/lib/torch/include/ATen/ops/floor_meta.h 2024-08-20T21:38:18.0890151Z inflating: build/lib/torch/include/ATen/ops/floor_meta_dispatch.h 2024-08-20T21:38:18.0890690Z inflating: build/lib/torch/include/ATen/ops/floor_native.h 2024-08-20T21:38:18.0891118Z inflating: build/lib/torch/include/ATen/ops/floor_ops.h 2024-08-20T21:38:18.0891486Z inflating: build/lib/torch/include/ATen/ops/fmax.h 2024-08-20T21:38:18.0892463Z inflating: build/lib/torch/include/ATen/ops/fmax_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0892992Z inflating: build/lib/torch/include/ATen/ops/fmax_cpu_dispatch.h 2024-08-20T21:38:18.0893515Z inflating: build/lib/torch/include/ATen/ops/fmax_cuda_dispatch.h 2024-08-20T21:38:18.0893953Z inflating: build/lib/torch/include/ATen/ops/fmax_meta.h 2024-08-20T21:38:18.0894463Z inflating: build/lib/torch/include/ATen/ops/fmax_meta_dispatch.h 2024-08-20T21:38:18.0894886Z inflating: build/lib/torch/include/ATen/ops/fmax_native.h 2024-08-20T21:38:18.0895296Z inflating: build/lib/torch/include/ATen/ops/fmax_ops.h 2024-08-20T21:38:18.0895674Z inflating: build/lib/torch/include/ATen/ops/fmin.h 2024-08-20T21:38:18.0896658Z inflating: build/lib/torch/include/ATen/ops/fmin_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0897191Z inflating: build/lib/torch/include/ATen/ops/fmin_cpu_dispatch.h 2024-08-20T21:38:18.0897717Z inflating: build/lib/torch/include/ATen/ops/fmin_cuda_dispatch.h 2024-08-20T21:38:18.0898142Z inflating: build/lib/torch/include/ATen/ops/fmin_meta.h 2024-08-20T21:38:18.0898656Z inflating: build/lib/torch/include/ATen/ops/fmin_meta_dispatch.h 2024-08-20T21:38:18.0899092Z inflating: build/lib/torch/include/ATen/ops/fmin_native.h 2024-08-20T21:38:18.0899435Z inflating: build/lib/torch/include/ATen/ops/fmin_ops.h 2024-08-20T21:38:18.0899874Z inflating: build/lib/torch/include/ATen/ops/fmod.h 2024-08-20T21:38:18.0900692Z inflating: build/lib/torch/include/ATen/ops/fmod_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0901708Z inflating: build/lib/torch/include/ATen/ops/fmod_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0902236Z inflating: build/lib/torch/include/ATen/ops/fmod_cpu_dispatch.h 2024-08-20T21:38:18.0902748Z inflating: build/lib/torch/include/ATen/ops/fmod_cuda_dispatch.h 2024-08-20T21:38:18.0903159Z inflating: build/lib/torch/include/ATen/ops/fmod_meta.h 2024-08-20T21:38:18.0903785Z inflating: build/lib/torch/include/ATen/ops/fmod_meta_dispatch.h 2024-08-20T21:38:18.0904232Z inflating: build/lib/torch/include/ATen/ops/fmod_native.h 2024-08-20T21:38:18.0904636Z inflating: build/lib/torch/include/ATen/ops/fmod_ops.h 2024-08-20T21:38:18.0904977Z inflating: build/lib/torch/include/ATen/ops/frac.h 2024-08-20T21:38:18.0905971Z inflating: build/lib/torch/include/ATen/ops/frac_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0906489Z inflating: build/lib/torch/include/ATen/ops/frac_cpu_dispatch.h 2024-08-20T21:38:18.0907021Z inflating: build/lib/torch/include/ATen/ops/frac_cuda_dispatch.h 2024-08-20T21:38:18.0907533Z inflating: build/lib/torch/include/ATen/ops/frac_meta.h 2024-08-20T21:38:18.0908151Z inflating: build/lib/torch/include/ATen/ops/frac_meta_dispatch.h 2024-08-20T21:38:18.0908583Z inflating: build/lib/torch/include/ATen/ops/frac_native.h 2024-08-20T21:38:18.0908992Z inflating: build/lib/torch/include/ATen/ops/frac_ops.h 2024-08-20T21:38:18.0909561Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool2d.h 2024-08-20T21:38:18.0910262Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool2d_backward.h 2024-08-20T21:38:18.0911640Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0912474Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool2d_backward_cpu_dispatch.h 2024-08-20T21:38:18.0913352Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool2d_backward_cuda_dispatch.h 2024-08-20T21:38:18.0914159Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool2d_backward_meta.h 2024-08-20T21:38:18.0915009Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool2d_backward_meta_dispatch.h 2024-08-20T21:38:18.0915783Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool2d_backward_native.h 2024-08-20T21:38:18.0916530Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool2d_backward_ops.h 2024-08-20T21:38:18.0917755Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool2d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0918322Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool2d_cpu_dispatch.h 2024-08-20T21:38:18.0919071Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool2d_cuda_dispatch.h 2024-08-20T21:38:18.0919722Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool2d_meta.h 2024-08-20T21:38:18.0920447Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool2d_meta_dispatch.h 2024-08-20T21:38:18.0921113Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool2d_native.h 2024-08-20T21:38:18.0921752Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool2d_ops.h 2024-08-20T21:38:18.0922315Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool3d.h 2024-08-20T21:38:18.0923014Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool3d_backward.h 2024-08-20T21:38:18.0923842Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool3d_backward_cpu_dispatch.h 2024-08-20T21:38:18.0924704Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool3d_backward_cuda_dispatch.h 2024-08-20T21:38:18.0925468Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool3d_backward_native.h 2024-08-20T21:38:18.0926324Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool3d_backward_ops.h 2024-08-20T21:38:18.0927529Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool3d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0928281Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool3d_cpu_dispatch.h 2024-08-20T21:38:18.0929021Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool3d_cuda_dispatch.h 2024-08-20T21:38:18.0929671Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool3d_meta.h 2024-08-20T21:38:18.0930411Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool3d_meta_dispatch.h 2024-08-20T21:38:18.0931060Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool3d_native.h 2024-08-20T21:38:18.0931690Z inflating: build/lib/torch/include/ATen/ops/fractional_max_pool3d_ops.h 2024-08-20T21:38:18.0932080Z inflating: build/lib/torch/include/ATen/ops/frexp.h 2024-08-20T21:38:18.0932882Z inflating: build/lib/torch/include/ATen/ops/frexp_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0933422Z inflating: build/lib/torch/include/ATen/ops/frexp_cpu_dispatch.h 2024-08-20T21:38:18.0933965Z inflating: build/lib/torch/include/ATen/ops/frexp_cuda_dispatch.h 2024-08-20T21:38:18.0934572Z inflating: build/lib/torch/include/ATen/ops/frexp_native.h 2024-08-20T21:38:18.0934982Z inflating: build/lib/torch/include/ATen/ops/frexp_ops.h 2024-08-20T21:38:18.0935461Z inflating: build/lib/torch/include/ATen/ops/frobenius_norm.h 2024-08-20T21:38:18.0936416Z inflating: build/lib/torch/include/ATen/ops/frobenius_norm_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0936981Z inflating: build/lib/torch/include/ATen/ops/frobenius_norm_native.h 2024-08-20T21:38:18.0937510Z inflating: build/lib/torch/include/ATen/ops/frobenius_norm_ops.h 2024-08-20T21:38:18.0937932Z inflating: build/lib/torch/include/ATen/ops/from_file.h 2024-08-20T21:38:18.0938797Z inflating: build/lib/torch/include/ATen/ops/from_file_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0939369Z inflating: build/lib/torch/include/ATen/ops/from_file_cpu_dispatch.h 2024-08-20T21:38:18.0940070Z inflating: build/lib/torch/include/ATen/ops/from_file_native.h 2024-08-20T21:38:18.0940545Z inflating: build/lib/torch/include/ATen/ops/from_file_ops.h 2024-08-20T21:38:18.0940913Z inflating: build/lib/torch/include/ATen/ops/full.h 2024-08-20T21:38:18.0941711Z inflating: build/lib/torch/include/ATen/ops/full_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0942126Z inflating: build/lib/torch/include/ATen/ops/full_like.h 2024-08-20T21:38:18.0942991Z inflating: build/lib/torch/include/ATen/ops/full_like_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0943489Z inflating: build/lib/torch/include/ATen/ops/full_like_native.h 2024-08-20T21:38:18.0943945Z inflating: build/lib/torch/include/ATen/ops/full_like_ops.h 2024-08-20T21:38:18.0944408Z inflating: build/lib/torch/include/ATen/ops/full_native.h 2024-08-20T21:38:18.0944798Z inflating: build/lib/torch/include/ATen/ops/full_ops.h 2024-08-20T21:38:18.0945484Z inflating: build/lib/torch/include/ATen/ops/fused_moving_avg_obs_fake_quant.h 2024-08-20T21:38:18.0946625Z inflating: build/lib/torch/include/ATen/ops/fused_moving_avg_obs_fake_quant_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0947424Z inflating: build/lib/torch/include/ATen/ops/fused_moving_avg_obs_fake_quant_native.h 2024-08-20T21:38:18.0948147Z inflating: build/lib/torch/include/ATen/ops/fused_moving_avg_obs_fake_quant_ops.h 2024-08-20T21:38:18.0948542Z inflating: build/lib/torch/include/ATen/ops/gather.h 2024-08-20T21:38:18.0949034Z inflating: build/lib/torch/include/ATen/ops/gather_backward.h 2024-08-20T21:38:18.0949979Z inflating: build/lib/torch/include/ATen/ops/gather_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0950552Z inflating: build/lib/torch/include/ATen/ops/gather_backward_native.h 2024-08-20T21:38:18.0951089Z inflating: build/lib/torch/include/ATen/ops/gather_backward_ops.h 2024-08-20T21:38:18.0952114Z inflating: build/lib/torch/include/ATen/ops/gather_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0952961Z inflating: build/lib/torch/include/ATen/ops/gather_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0953508Z inflating: build/lib/torch/include/ATen/ops/gather_cpu_dispatch.h 2024-08-20T21:38:18.0954066Z inflating: build/lib/torch/include/ATen/ops/gather_cuda_dispatch.h 2024-08-20T21:38:18.0954401Z inflating: build/lib/torch/include/ATen/ops/gather_meta.h 2024-08-20T21:38:18.0954911Z inflating: build/lib/torch/include/ATen/ops/gather_meta_dispatch.h 2024-08-20T21:38:18.0955371Z inflating: build/lib/torch/include/ATen/ops/gather_native.h 2024-08-20T21:38:18.0955779Z inflating: build/lib/torch/include/ATen/ops/gather_ops.h 2024-08-20T21:38:18.0956139Z inflating: build/lib/torch/include/ATen/ops/gcd.h 2024-08-20T21:38:18.0957118Z inflating: build/lib/torch/include/ATen/ops/gcd_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0957633Z inflating: build/lib/torch/include/ATen/ops/gcd_cpu_dispatch.h 2024-08-20T21:38:18.0958150Z inflating: build/lib/torch/include/ATen/ops/gcd_cuda_dispatch.h 2024-08-20T21:38:18.0958661Z inflating: build/lib/torch/include/ATen/ops/gcd_meta.h 2024-08-20T21:38:18.0959188Z inflating: build/lib/torch/include/ATen/ops/gcd_meta_dispatch.h 2024-08-20T21:38:18.0959607Z inflating: build/lib/torch/include/ATen/ops/gcd_native.h 2024-08-20T21:38:18.0960006Z inflating: build/lib/torch/include/ATen/ops/gcd_ops.h 2024-08-20T21:38:18.0960362Z inflating: build/lib/torch/include/ATen/ops/ge.h 2024-08-20T21:38:18.0961308Z inflating: build/lib/torch/include/ATen/ops/ge_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0961798Z inflating: build/lib/torch/include/ATen/ops/ge_cpu_dispatch.h 2024-08-20T21:38:18.0962318Z inflating: build/lib/torch/include/ATen/ops/ge_cuda_dispatch.h 2024-08-20T21:38:18.0962686Z inflating: build/lib/torch/include/ATen/ops/ge_meta.h 2024-08-20T21:38:18.0963326Z inflating: build/lib/torch/include/ATen/ops/ge_meta_dispatch.h 2024-08-20T21:38:18.0964181Z inflating: build/lib/torch/include/ATen/ops/ge_native.h 2024-08-20T21:38:18.0964568Z inflating: build/lib/torch/include/ATen/ops/ge_ops.h 2024-08-20T21:38:18.0964934Z inflating: build/lib/torch/include/ATen/ops/gelu.h 2024-08-20T21:38:18.0965413Z inflating: build/lib/torch/include/ATen/ops/gelu_backward.h 2024-08-20T21:38:18.0966501Z inflating: build/lib/torch/include/ATen/ops/gelu_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0967155Z inflating: build/lib/torch/include/ATen/ops/gelu_backward_cpu_dispatch.h 2024-08-20T21:38:18.0967781Z inflating: build/lib/torch/include/ATen/ops/gelu_backward_cuda_dispatch.h 2024-08-20T21:38:18.0968304Z inflating: build/lib/torch/include/ATen/ops/gelu_backward_meta.h 2024-08-20T21:38:18.0968956Z inflating: build/lib/torch/include/ATen/ops/gelu_backward_meta_dispatch.h 2024-08-20T21:38:18.0969500Z inflating: build/lib/torch/include/ATen/ops/gelu_backward_native.h 2024-08-20T21:38:18.0970034Z inflating: build/lib/torch/include/ATen/ops/gelu_backward_ops.h 2024-08-20T21:38:18.0971047Z inflating: build/lib/torch/include/ATen/ops/gelu_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0971558Z inflating: build/lib/torch/include/ATen/ops/gelu_cpu_dispatch.h 2024-08-20T21:38:18.0972097Z inflating: build/lib/torch/include/ATen/ops/gelu_cuda_dispatch.h 2024-08-20T21:38:18.0972502Z inflating: build/lib/torch/include/ATen/ops/gelu_meta.h 2024-08-20T21:38:18.0973023Z inflating: build/lib/torch/include/ATen/ops/gelu_meta_dispatch.h 2024-08-20T21:38:18.0973474Z inflating: build/lib/torch/include/ATen/ops/gelu_native.h 2024-08-20T21:38:18.0973862Z inflating: build/lib/torch/include/ATen/ops/gelu_ops.h 2024-08-20T21:38:18.0974270Z inflating: build/lib/torch/include/ATen/ops/geometric.h 2024-08-20T21:38:18.0975168Z inflating: build/lib/torch/include/ATen/ops/geometric_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0975755Z inflating: build/lib/torch/include/ATen/ops/geometric_cpu_dispatch.h 2024-08-20T21:38:18.0976375Z inflating: build/lib/torch/include/ATen/ops/geometric_cuda_dispatch.h 2024-08-20T21:38:18.0976978Z inflating: build/lib/torch/include/ATen/ops/geometric_meta_dispatch.h 2024-08-20T21:38:18.0977490Z inflating: build/lib/torch/include/ATen/ops/geometric_native.h 2024-08-20T21:38:18.0977974Z inflating: build/lib/torch/include/ATen/ops/geometric_ops.h 2024-08-20T21:38:18.0978340Z inflating: build/lib/torch/include/ATen/ops/geqrf.h 2024-08-20T21:38:18.0978866Z inflating: build/lib/torch/include/ATen/ops/geqrf_cpu_dispatch.h 2024-08-20T21:38:18.0979405Z inflating: build/lib/torch/include/ATen/ops/geqrf_cuda_dispatch.h 2024-08-20T21:38:18.0979931Z inflating: build/lib/torch/include/ATen/ops/geqrf_native.h 2024-08-20T21:38:18.0980332Z inflating: build/lib/torch/include/ATen/ops/geqrf_ops.h 2024-08-20T21:38:18.0980702Z inflating: build/lib/torch/include/ATen/ops/ger.h 2024-08-20T21:38:18.0981502Z inflating: build/lib/torch/include/ATen/ops/ger_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0982028Z inflating: build/lib/torch/include/ATen/ops/ger_native.h 2024-08-20T21:38:18.0982409Z inflating: build/lib/torch/include/ATen/ops/ger_ops.h 2024-08-20T21:38:18.0982776Z inflating: build/lib/torch/include/ATen/ops/glu.h 2024-08-20T21:38:18.0983234Z inflating: build/lib/torch/include/ATen/ops/glu_backward.h 2024-08-20T21:38:18.0983844Z inflating: build/lib/torch/include/ATen/ops/glu_backward_cpu_dispatch.h 2024-08-20T21:38:18.0984471Z inflating: build/lib/torch/include/ATen/ops/glu_backward_cuda_dispatch.h 2024-08-20T21:38:18.0984976Z inflating: build/lib/torch/include/ATen/ops/glu_backward_jvp.h 2024-08-20T21:38:18.0985909Z inflating: build/lib/torch/include/ATen/ops/glu_backward_jvp_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0986583Z inflating: build/lib/torch/include/ATen/ops/glu_backward_jvp_cpu_dispatch.h 2024-08-20T21:38:18.0987338Z inflating: build/lib/torch/include/ATen/ops/glu_backward_jvp_cuda_dispatch.h 2024-08-20T21:38:18.0988045Z inflating: build/lib/torch/include/ATen/ops/glu_backward_jvp_native.h 2024-08-20T21:38:18.0988606Z inflating: build/lib/torch/include/ATen/ops/glu_backward_jvp_ops.h 2024-08-20T21:38:18.0989130Z inflating: build/lib/torch/include/ATen/ops/glu_backward_native.h 2024-08-20T21:38:18.0989624Z inflating: build/lib/torch/include/ATen/ops/glu_backward_ops.h 2024-08-20T21:38:18.0990610Z inflating: build/lib/torch/include/ATen/ops/glu_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.0991112Z inflating: build/lib/torch/include/ATen/ops/glu_cpu_dispatch.h 2024-08-20T21:38:18.0991637Z inflating: build/lib/torch/include/ATen/ops/glu_cuda_dispatch.h 2024-08-20T21:38:18.0991969Z inflating: build/lib/torch/include/ATen/ops/glu_jvp.h 2024-08-20T21:38:18.0992654Z inflating: build/lib/torch/include/ATen/ops/glu_jvp_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.0993306Z inflating: build/lib/torch/include/ATen/ops/glu_jvp_cpu_dispatch.h 2024-08-20T21:38:18.0993874Z inflating: build/lib/torch/include/ATen/ops/glu_jvp_cuda_dispatch.h 2024-08-20T21:38:18.0994343Z inflating: build/lib/torch/include/ATen/ops/glu_jvp_native.h 2024-08-20T21:38:18.0994789Z inflating: build/lib/torch/include/ATen/ops/glu_jvp_ops.h 2024-08-20T21:38:18.0995220Z inflating: build/lib/torch/include/ATen/ops/glu_meta.h 2024-08-20T21:38:18.0995727Z inflating: build/lib/torch/include/ATen/ops/glu_meta_dispatch.h 2024-08-20T21:38:18.0996167Z inflating: build/lib/torch/include/ATen/ops/glu_native.h 2024-08-20T21:38:18.0996560Z inflating: build/lib/torch/include/ATen/ops/glu_ops.h 2024-08-20T21:38:18.0996953Z inflating: build/lib/torch/include/ATen/ops/gradient.h 2024-08-20T21:38:18.0997841Z inflating: build/lib/torch/include/ATen/ops/gradient_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.0998413Z inflating: build/lib/torch/include/ATen/ops/gradient_native.h 2024-08-20T21:38:18.0998885Z inflating: build/lib/torch/include/ATen/ops/gradient_ops.h 2024-08-20T21:38:18.0999269Z inflating: build/lib/torch/include/ATen/ops/greater.h 2024-08-20T21:38:18.1000125Z inflating: build/lib/torch/include/ATen/ops/greater_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1000609Z inflating: build/lib/torch/include/ATen/ops/greater_equal.h 2024-08-20T21:38:18.1001515Z inflating: build/lib/torch/include/ATen/ops/greater_equal_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1002071Z inflating: build/lib/torch/include/ATen/ops/greater_equal_native.h 2024-08-20T21:38:18.1002619Z inflating: build/lib/torch/include/ATen/ops/greater_equal_ops.h 2024-08-20T21:38:18.1003095Z inflating: build/lib/torch/include/ATen/ops/greater_native.h 2024-08-20T21:38:18.1003537Z inflating: build/lib/torch/include/ATen/ops/greater_ops.h 2024-08-20T21:38:18.1003986Z inflating: build/lib/torch/include/ATen/ops/grid_sampler.h 2024-08-20T21:38:18.1004457Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_2d.h 2024-08-20T21:38:18.1005187Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_2d_backward.h 2024-08-20T21:38:18.1006215Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_2d_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1006965Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_2d_backward_cpu_dispatch.h 2024-08-20T21:38:18.1007738Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_2d_backward_cuda_dispatch.h 2024-08-20T21:38:18.1008425Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_2d_backward_native.h 2024-08-20T21:38:18.1009070Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_2d_backward_ops.h 2024-08-20T21:38:18.1009999Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_2d_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1010644Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_2d_cpu_dispatch.h 2024-08-20T21:38:18.1011408Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_2d_cuda_dispatch.h 2024-08-20T21:38:18.1011976Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_2d_native.h 2024-08-20T21:38:18.1012501Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_2d_ops.h 2024-08-20T21:38:18.1012997Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_3d.h 2024-08-20T21:38:18.1013597Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_3d_backward.h 2024-08-20T21:38:18.1014616Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_3d_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1015377Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_3d_backward_cpu_dispatch.h 2024-08-20T21:38:18.1016143Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_3d_backward_cuda_dispatch.h 2024-08-20T21:38:18.1016827Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_3d_backward_native.h 2024-08-20T21:38:18.1017465Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_3d_backward_ops.h 2024-08-20T21:38:18.1018411Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_3d_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1019079Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_3d_cpu_dispatch.h 2024-08-20T21:38:18.1019717Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_3d_cuda_dispatch.h 2024-08-20T21:38:18.1020392Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_3d_native.h 2024-08-20T21:38:18.1020938Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_3d_ops.h 2024-08-20T21:38:18.1021813Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1022353Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_native.h 2024-08-20T21:38:18.1022857Z inflating: build/lib/torch/include/ATen/ops/grid_sampler_ops.h 2024-08-20T21:38:18.1023299Z inflating: build/lib/torch/include/ATen/ops/group_norm.h 2024-08-20T21:38:18.1024182Z inflating: build/lib/torch/include/ATen/ops/group_norm_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1024698Z inflating: build/lib/torch/include/ATen/ops/group_norm_native.h 2024-08-20T21:38:18.1025169Z inflating: build/lib/torch/include/ATen/ops/group_norm_ops.h 2024-08-20T21:38:18.1025546Z inflating: build/lib/torch/include/ATen/ops/gru.h 2024-08-20T21:38:18.1026044Z inflating: build/lib/torch/include/ATen/ops/gru_cell.h 2024-08-20T21:38:18.1026500Z inflating: build/lib/torch/include/ATen/ops/gru_cell_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1026775Z inflating: build/lib/torch/include/ATen/ops/gru_cell_native.h 2024-08-20T21:38:18.1027014Z inflating: build/lib/torch/include/ATen/ops/gru_cell_ops.h 2024-08-20T21:38:18.1027453Z inflating: build/lib/torch/include/ATen/ops/gru_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1027699Z inflating: build/lib/torch/include/ATen/ops/gru_native.h 2024-08-20T21:38:18.1028086Z inflating: build/lib/torch/include/ATen/ops/gru_ops.h 2024-08-20T21:38:18.1028602Z inflating: build/lib/torch/include/ATen/ops/gt.h 2024-08-20T21:38:18.1029574Z inflating: build/lib/torch/include/ATen/ops/gt_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1030057Z inflating: build/lib/torch/include/ATen/ops/gt_cpu_dispatch.h 2024-08-20T21:38:18.1030570Z inflating: build/lib/torch/include/ATen/ops/gt_cuda_dispatch.h 2024-08-20T21:38:18.1030961Z inflating: build/lib/torch/include/ATen/ops/gt_meta.h 2024-08-20T21:38:18.1031472Z inflating: build/lib/torch/include/ATen/ops/gt_meta_dispatch.h 2024-08-20T21:38:18.1031887Z inflating: build/lib/torch/include/ATen/ops/gt_native.h 2024-08-20T21:38:18.1032277Z inflating: build/lib/torch/include/ATen/ops/gt_ops.h 2024-08-20T21:38:18.1032597Z inflating: build/lib/torch/include/ATen/ops/hamming_window.h 2024-08-20T21:38:18.1033643Z inflating: build/lib/torch/include/ATen/ops/hamming_window_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1034220Z inflating: build/lib/torch/include/ATen/ops/hamming_window_native.h 2024-08-20T21:38:18.1034519Z inflating: build/lib/torch/include/ATen/ops/hamming_window_ops.h 2024-08-20T21:38:18.1034753Z inflating: build/lib/torch/include/ATen/ops/hann_window.h 2024-08-20T21:38:18.1035588Z inflating: build/lib/torch/include/ATen/ops/hann_window_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1036133Z inflating: build/lib/torch/include/ATen/ops/hann_window_native.h 2024-08-20T21:38:18.1036474Z inflating: build/lib/torch/include/ATen/ops/hann_window_ops.h 2024-08-20T21:38:18.1036763Z inflating: build/lib/torch/include/ATen/ops/hardshrink.h 2024-08-20T21:38:18.1037309Z inflating: build/lib/torch/include/ATen/ops/hardshrink_backward.h 2024-08-20T21:38:18.1038493Z inflating: build/lib/torch/include/ATen/ops/hardshrink_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1039229Z inflating: build/lib/torch/include/ATen/ops/hardshrink_backward_cpu_dispatch.h 2024-08-20T21:38:18.1039959Z inflating: build/lib/torch/include/ATen/ops/hardshrink_backward_cuda_dispatch.h 2024-08-20T21:38:18.1040475Z inflating: build/lib/torch/include/ATen/ops/hardshrink_backward_meta.h 2024-08-20T21:38:18.1041081Z inflating: build/lib/torch/include/ATen/ops/hardshrink_backward_meta_dispatch.h 2024-08-20T21:38:18.1041424Z inflating: build/lib/torch/include/ATen/ops/hardshrink_backward_native.h 2024-08-20T21:38:18.1041990Z inflating: build/lib/torch/include/ATen/ops/hardshrink_backward_ops.h 2024-08-20T21:38:18.1043096Z inflating: build/lib/torch/include/ATen/ops/hardshrink_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1043689Z inflating: build/lib/torch/include/ATen/ops/hardshrink_cpu_dispatch.h 2024-08-20T21:38:18.1044316Z inflating: build/lib/torch/include/ATen/ops/hardshrink_cuda_dispatch.h 2024-08-20T21:38:18.1044811Z inflating: build/lib/torch/include/ATen/ops/hardshrink_meta.h 2024-08-20T21:38:18.1045542Z inflating: build/lib/torch/include/ATen/ops/hardshrink_meta_dispatch.h 2024-08-20T21:38:18.1046077Z inflating: build/lib/torch/include/ATen/ops/hardshrink_native.h 2024-08-20T21:38:18.1046560Z inflating: build/lib/torch/include/ATen/ops/hardshrink_ops.h 2024-08-20T21:38:18.1047006Z inflating: build/lib/torch/include/ATen/ops/hardsigmoid.h 2024-08-20T21:38:18.1047496Z inflating: build/lib/torch/include/ATen/ops/hardsigmoid_backward.h 2024-08-20T21:38:18.1048700Z inflating: build/lib/torch/include/ATen/ops/hardsigmoid_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1049454Z inflating: build/lib/torch/include/ATen/ops/hardsigmoid_backward_cpu_dispatch.h 2024-08-20T21:38:18.1050175Z inflating: build/lib/torch/include/ATen/ops/hardsigmoid_backward_cuda_dispatch.h 2024-08-20T21:38:18.1050796Z inflating: build/lib/torch/include/ATen/ops/hardsigmoid_backward_meta.h 2024-08-20T21:38:18.1051537Z inflating: build/lib/torch/include/ATen/ops/hardsigmoid_backward_meta_dispatch.h 2024-08-20T21:38:18.1052298Z inflating: build/lib/torch/include/ATen/ops/hardsigmoid_backward_native.h 2024-08-20T21:38:18.1052837Z inflating: build/lib/torch/include/ATen/ops/hardsigmoid_backward_ops.h 2024-08-20T21:38:18.1053937Z inflating: build/lib/torch/include/ATen/ops/hardsigmoid_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1054552Z inflating: build/lib/torch/include/ATen/ops/hardsigmoid_cpu_dispatch.h 2024-08-20T21:38:18.1055192Z inflating: build/lib/torch/include/ATen/ops/hardsigmoid_cuda_dispatch.h 2024-08-20T21:38:18.1055690Z inflating: build/lib/torch/include/ATen/ops/hardsigmoid_meta.h 2024-08-20T21:38:18.1056315Z inflating: build/lib/torch/include/ATen/ops/hardsigmoid_meta_dispatch.h 2024-08-20T21:38:18.1056851Z inflating: build/lib/torch/include/ATen/ops/hardsigmoid_native.h 2024-08-20T21:38:18.1057431Z inflating: build/lib/torch/include/ATen/ops/hardsigmoid_ops.h 2024-08-20T21:38:18.1057834Z inflating: build/lib/torch/include/ATen/ops/hardswish.h 2024-08-20T21:38:18.1058382Z inflating: build/lib/torch/include/ATen/ops/hardswish_backward.h 2024-08-20T21:38:18.1059379Z inflating: build/lib/torch/include/ATen/ops/hardswish_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1059864Z inflating: build/lib/torch/include/ATen/ops/q_scale_ops.h 2024-08-20T21:38:18.1060584Z inflating: build/lib/torch/include/ATen/ops/hardswish_backward_cpu_dispatch.h 2024-08-20T21:38:18.1061275Z inflating: build/lib/torch/include/ATen/ops/hardswish_backward_cuda_dispatch.h 2024-08-20T21:38:18.1061913Z inflating: build/lib/torch/include/ATen/ops/hardswish_backward_native.h 2024-08-20T21:38:18.1062497Z inflating: build/lib/torch/include/ATen/ops/hardswish_backward_ops.h 2024-08-20T21:38:18.1063075Z inflating: build/lib/torch/include/ATen/ops/hardswish_cpu_dispatch.h 2024-08-20T21:38:18.1063699Z inflating: build/lib/torch/include/ATen/ops/hardswish_cuda_dispatch.h 2024-08-20T21:38:18.1064297Z inflating: build/lib/torch/include/ATen/ops/hardswish_meta_dispatch.h 2024-08-20T21:38:18.1064796Z inflating: build/lib/torch/include/ATen/ops/hardswish_native.h 2024-08-20T21:38:18.1065280Z inflating: build/lib/torch/include/ATen/ops/hardswish_ops.h 2024-08-20T21:38:18.1065670Z inflating: build/lib/torch/include/ATen/ops/hardtanh.h 2024-08-20T21:38:18.1066191Z inflating: build/lib/torch/include/ATen/ops/hardtanh_backward.h 2024-08-20T21:38:18.1066973Z inflating: build/lib/torch/include/ATen/ops/hardtanh_backward_cpu_dispatch.h 2024-08-20T21:38:18.1067667Z inflating: build/lib/torch/include/ATen/ops/hardtanh_backward_cuda_dispatch.h 2024-08-20T21:38:18.1068296Z inflating: build/lib/torch/include/ATen/ops/hardtanh_backward_native.h 2024-08-20T21:38:18.1068857Z inflating: build/lib/torch/include/ATen/ops/hardtanh_backward_ops.h 2024-08-20T21:38:18.1069426Z inflating: build/lib/torch/include/ATen/ops/hardtanh_cpu_dispatch.h 2024-08-20T21:38:18.1070025Z inflating: build/lib/torch/include/ATen/ops/hardtanh_cuda_dispatch.h 2024-08-20T21:38:18.1070602Z inflating: build/lib/torch/include/ATen/ops/hardtanh_meta_dispatch.h 2024-08-20T21:38:18.1071083Z inflating: build/lib/torch/include/ATen/ops/hardtanh_native.h 2024-08-20T21:38:18.1071629Z inflating: build/lib/torch/include/ATen/ops/hardtanh_ops.h 2024-08-20T21:38:18.1072037Z inflating: build/lib/torch/include/ATen/ops/heaviside.h 2024-08-20T21:38:18.1073130Z inflating: build/lib/torch/include/ATen/ops/heaviside_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1073565Z inflating: build/lib/torch/include/ATen/ops/heaviside_cpu_dispatch.h 2024-08-20T21:38:18.1074085Z inflating: build/lib/torch/include/ATen/ops/heaviside_cuda_dispatch.h 2024-08-20T21:38:18.1074570Z inflating: build/lib/torch/include/ATen/ops/heaviside_meta.h 2024-08-20T21:38:18.1075160Z inflating: build/lib/torch/include/ATen/ops/heaviside_meta_dispatch.h 2024-08-20T21:38:18.1075667Z inflating: build/lib/torch/include/ATen/ops/heaviside_native.h 2024-08-20T21:38:18.1076335Z inflating: build/lib/torch/include/ATen/ops/heaviside_ops.h 2024-08-20T21:38:18.1076883Z inflating: build/lib/torch/include/ATen/ops/hinge_embedding_loss.h 2024-08-20T21:38:18.1077873Z inflating: build/lib/torch/include/ATen/ops/hinge_embedding_loss_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1078590Z inflating: build/lib/torch/include/ATen/ops/hinge_embedding_loss_native.h 2024-08-20T21:38:18.1079191Z inflating: build/lib/torch/include/ATen/ops/hinge_embedding_loss_ops.h 2024-08-20T21:38:18.1079597Z inflating: build/lib/torch/include/ATen/ops/histc.h 2024-08-20T21:38:18.1080119Z inflating: build/lib/torch/include/ATen/ops/histc_cpu_dispatch.h 2024-08-20T21:38:18.1080657Z inflating: build/lib/torch/include/ATen/ops/histc_cuda_dispatch.h 2024-08-20T21:38:18.1081120Z inflating: build/lib/torch/include/ATen/ops/histc_native.h 2024-08-20T21:38:18.1081611Z inflating: build/lib/torch/include/ATen/ops/histc_ops.h 2024-08-20T21:38:18.1082033Z inflating: build/lib/torch/include/ATen/ops/histogram.h 2024-08-20T21:38:18.1082635Z inflating: build/lib/torch/include/ATen/ops/histogram_cpu_dispatch.h 2024-08-20T21:38:18.1083141Z inflating: build/lib/torch/include/ATen/ops/histogram_native.h 2024-08-20T21:38:18.1083619Z inflating: build/lib/torch/include/ATen/ops/histogram_ops.h 2024-08-20T21:38:18.1084029Z inflating: build/lib/torch/include/ATen/ops/histogramdd.h 2024-08-20T21:38:18.1084932Z inflating: build/lib/torch/include/ATen/ops/histogramdd_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1085475Z inflating: build/lib/torch/include/ATen/ops/histogramdd_native.h 2024-08-20T21:38:18.1085960Z inflating: build/lib/torch/include/ATen/ops/histogramdd_ops.h 2024-08-20T21:38:18.1086337Z inflating: build/lib/torch/include/ATen/ops/hsplit.h 2024-08-20T21:38:18.1087194Z inflating: build/lib/torch/include/ATen/ops/hsplit_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1087666Z inflating: build/lib/torch/include/ATen/ops/hsplit_native.h 2024-08-20T21:38:18.1088082Z inflating: build/lib/torch/include/ATen/ops/hsplit_ops.h 2024-08-20T21:38:18.1088481Z inflating: build/lib/torch/include/ATen/ops/hspmm.h 2024-08-20T21:38:18.1088932Z inflating: build/lib/torch/include/ATen/ops/hspmm_native.h 2024-08-20T21:38:18.1089362Z inflating: build/lib/torch/include/ATen/ops/hspmm_ops.h 2024-08-20T21:38:18.1089757Z inflating: build/lib/torch/include/ATen/ops/hstack.h 2024-08-20T21:38:18.1090573Z inflating: build/lib/torch/include/ATen/ops/hstack_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1091056Z inflating: build/lib/torch/include/ATen/ops/hstack_native.h 2024-08-20T21:38:18.1091530Z inflating: build/lib/torch/include/ATen/ops/hstack_ops.h 2024-08-20T21:38:18.1091943Z inflating: build/lib/torch/include/ATen/ops/huber_loss.h 2024-08-20T21:38:18.1092498Z inflating: build/lib/torch/include/ATen/ops/huber_loss_backward.h 2024-08-20T21:38:18.1093469Z inflating: build/lib/torch/include/ATen/ops/huber_loss_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1094171Z inflating: build/lib/torch/include/ATen/ops/huber_loss_backward_cpu_dispatch.h 2024-08-20T21:38:18.1094889Z inflating: build/lib/torch/include/ATen/ops/huber_loss_backward_cuda_dispatch.h 2024-08-20T21:38:18.1095519Z inflating: build/lib/torch/include/ATen/ops/huber_loss_backward_native.h 2024-08-20T21:38:18.1096107Z inflating: build/lib/torch/include/ATen/ops/huber_loss_backward_ops.h 2024-08-20T21:38:18.1096695Z inflating: build/lib/torch/include/ATen/ops/huber_loss_cpu_dispatch.h 2024-08-20T21:38:18.1097294Z inflating: build/lib/torch/include/ATen/ops/huber_loss_cuda_dispatch.h 2024-08-20T21:38:18.1097835Z inflating: build/lib/torch/include/ATen/ops/huber_loss_native.h 2024-08-20T21:38:18.1098308Z inflating: build/lib/torch/include/ATen/ops/huber_loss_ops.h 2024-08-20T21:38:18.1098687Z inflating: build/lib/torch/include/ATen/ops/hypot.h 2024-08-20T21:38:18.1099858Z inflating: build/lib/torch/include/ATen/ops/hypot_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1100385Z inflating: build/lib/torch/include/ATen/ops/hypot_cpu_dispatch.h 2024-08-20T21:38:18.1100918Z inflating: build/lib/torch/include/ATen/ops/hypot_cuda_dispatch.h 2024-08-20T21:38:18.1101353Z inflating: build/lib/torch/include/ATen/ops/hypot_meta.h 2024-08-20T21:38:18.1101883Z inflating: build/lib/torch/include/ATen/ops/hypot_meta_dispatch.h 2024-08-20T21:38:18.1102364Z inflating: build/lib/torch/include/ATen/ops/hypot_native.h 2024-08-20T21:38:18.1102771Z inflating: build/lib/torch/include/ATen/ops/hypot_ops.h 2024-08-20T21:38:18.1103109Z inflating: build/lib/torch/include/ATen/ops/i0.h 2024-08-20T21:38:18.1104094Z inflating: build/lib/torch/include/ATen/ops/i0_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1104654Z inflating: build/lib/torch/include/ATen/ops/i0_cpu_dispatch.h 2024-08-20T21:38:18.1105152Z inflating: build/lib/torch/include/ATen/ops/i0_cuda_dispatch.h 2024-08-20T21:38:18.1105536Z inflating: build/lib/torch/include/ATen/ops/i0_meta.h 2024-08-20T21:38:18.1106024Z inflating: build/lib/torch/include/ATen/ops/i0_meta_dispatch.h 2024-08-20T21:38:18.1106442Z inflating: build/lib/torch/include/ATen/ops/i0_native.h 2024-08-20T21:38:18.1106830Z inflating: build/lib/torch/include/ATen/ops/i0_ops.h 2024-08-20T21:38:18.1107210Z inflating: build/lib/torch/include/ATen/ops/igamma.h 2024-08-20T21:38:18.1108245Z inflating: build/lib/torch/include/ATen/ops/igamma_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1108776Z inflating: build/lib/torch/include/ATen/ops/igamma_cpu_dispatch.h 2024-08-20T21:38:18.1109337Z inflating: build/lib/torch/include/ATen/ops/igamma_cuda_dispatch.h 2024-08-20T21:38:18.1109764Z inflating: build/lib/torch/include/ATen/ops/igamma_meta.h 2024-08-20T21:38:18.1110322Z inflating: build/lib/torch/include/ATen/ops/igamma_meta_dispatch.h 2024-08-20T21:38:18.1110784Z inflating: build/lib/torch/include/ATen/ops/igamma_native.h 2024-08-20T21:38:18.1111230Z inflating: build/lib/torch/include/ATen/ops/igamma_ops.h 2024-08-20T21:38:18.1111508Z inflating: build/lib/torch/include/ATen/ops/igammac.h 2024-08-20T21:38:18.1112510Z inflating: build/lib/torch/include/ATen/ops/igammac_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1113060Z inflating: build/lib/torch/include/ATen/ops/igammac_cpu_dispatch.h 2024-08-20T21:38:18.1113622Z inflating: build/lib/torch/include/ATen/ops/igammac_cuda_dispatch.h 2024-08-20T21:38:18.1114080Z inflating: build/lib/torch/include/ATen/ops/igammac_meta.h 2024-08-20T21:38:18.1114640Z inflating: build/lib/torch/include/ATen/ops/igammac_meta_dispatch.h 2024-08-20T21:38:18.1115112Z inflating: build/lib/torch/include/ATen/ops/igammac_native.h 2024-08-20T21:38:18.1115573Z inflating: build/lib/torch/include/ATen/ops/igammac_ops.h 2024-08-20T21:38:18.1115964Z inflating: build/lib/torch/include/ATen/ops/im2col.h 2024-08-20T21:38:18.1116493Z inflating: build/lib/torch/include/ATen/ops/im2col_cpu_dispatch.h 2024-08-20T21:38:18.1117048Z inflating: build/lib/torch/include/ATen/ops/im2col_cuda_dispatch.h 2024-08-20T21:38:18.1117513Z inflating: build/lib/torch/include/ATen/ops/im2col_native.h 2024-08-20T21:38:18.1117960Z inflating: build/lib/torch/include/ATen/ops/im2col_ops.h 2024-08-20T21:38:18.1118321Z inflating: build/lib/torch/include/ATen/ops/imag.h 2024-08-20T21:38:18.1119055Z inflating: build/lib/torch/include/ATen/ops/imag_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1119498Z inflating: build/lib/torch/include/ATen/ops/imag_native.h 2024-08-20T21:38:18.1119907Z inflating: build/lib/torch/include/ATen/ops/imag_ops.h 2024-08-20T21:38:18.1120267Z inflating: build/lib/torch/include/ATen/ops/index.h 2024-08-20T21:38:18.1120690Z inflating: build/lib/torch/include/ATen/ops/index_add.h 2024-08-20T21:38:18.1121831Z inflating: build/lib/torch/include/ATen/ops/index_add_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1122697Z inflating: build/lib/torch/include/ATen/ops/index_add_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1123287Z inflating: build/lib/torch/include/ATen/ops/index_add_cpu_dispatch.h 2024-08-20T21:38:18.1123870Z inflating: build/lib/torch/include/ATen/ops/index_add_cuda_dispatch.h 2024-08-20T21:38:18.1124460Z inflating: build/lib/torch/include/ATen/ops/index_add_meta.h 2024-08-20T21:38:18.1125059Z inflating: build/lib/torch/include/ATen/ops/index_add_meta_dispatch.h 2024-08-20T21:38:18.1125548Z inflating: build/lib/torch/include/ATen/ops/index_add_native.h 2024-08-20T21:38:18.1126167Z inflating: build/lib/torch/include/ATen/ops/index_add_ops.h 2024-08-20T21:38:18.1127162Z inflating: build/lib/torch/include/ATen/ops/index_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1127766Z inflating: build/lib/torch/include/ATen/ops/index_copy.h 2024-08-20T21:38:18.1128837Z inflating: build/lib/torch/include/ATen/ops/index_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1129716Z inflating: build/lib/torch/include/ATen/ops/index_copy_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1130334Z inflating: build/lib/torch/include/ATen/ops/index_copy_cpu_dispatch.h 2024-08-20T21:38:18.1130934Z inflating: build/lib/torch/include/ATen/ops/index_copy_cuda_dispatch.h 2024-08-20T21:38:18.1131410Z inflating: build/lib/torch/include/ATen/ops/index_copy_meta.h 2024-08-20T21:38:18.1132033Z inflating: build/lib/torch/include/ATen/ops/index_copy_meta_dispatch.h 2024-08-20T21:38:18.1132545Z inflating: build/lib/torch/include/ATen/ops/index_copy_native.h 2024-08-20T21:38:18.1133014Z inflating: build/lib/torch/include/ATen/ops/index_copy_ops.h 2024-08-20T21:38:18.1133568Z inflating: build/lib/torch/include/ATen/ops/index_cpu_dispatch.h 2024-08-20T21:38:18.1134121Z inflating: build/lib/torch/include/ATen/ops/index_cuda_dispatch.h 2024-08-20T21:38:18.1134535Z inflating: build/lib/torch/include/ATen/ops/index_fill.h 2024-08-20T21:38:18.1135425Z inflating: build/lib/torch/include/ATen/ops/index_fill_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1136326Z inflating: build/lib/torch/include/ATen/ops/index_fill_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1136929Z inflating: build/lib/torch/include/ATen/ops/index_fill_cpu_dispatch.h 2024-08-20T21:38:18.1137529Z inflating: build/lib/torch/include/ATen/ops/index_fill_cuda_dispatch.h 2024-08-20T21:38:18.1138123Z inflating: build/lib/torch/include/ATen/ops/index_fill_meta_dispatch.h 2024-08-20T21:38:18.1138646Z inflating: build/lib/torch/include/ATen/ops/index_fill_native.h 2024-08-20T21:38:18.1139121Z inflating: build/lib/torch/include/ATen/ops/index_fill_ops.h 2024-08-20T21:38:18.1139538Z inflating: build/lib/torch/include/ATen/ops/index_meta.h 2024-08-20T21:38:18.1140170Z inflating: build/lib/torch/include/ATen/ops/index_meta_dispatch.h 2024-08-20T21:38:18.1140615Z inflating: build/lib/torch/include/ATen/ops/index_native.h 2024-08-20T21:38:18.1141045Z inflating: build/lib/torch/include/ATen/ops/index_ops.h 2024-08-20T21:38:18.1141462Z inflating: build/lib/torch/include/ATen/ops/index_put.h 2024-08-20T21:38:18.1142323Z inflating: build/lib/torch/include/ATen/ops/index_put_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1142848Z inflating: build/lib/torch/include/ATen/ops/index_put_native.h 2024-08-20T21:38:18.1143312Z inflating: build/lib/torch/include/ATen/ops/index_put_ops.h 2024-08-20T21:38:18.1143746Z inflating: build/lib/torch/include/ATen/ops/index_reduce.h 2024-08-20T21:38:18.1144833Z inflating: build/lib/torch/include/ATen/ops/index_reduce_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1145458Z inflating: build/lib/torch/include/ATen/ops/index_reduce_cpu_dispatch.h 2024-08-20T21:38:18.1146206Z inflating: build/lib/torch/include/ATen/ops/index_reduce_cuda_dispatch.h 2024-08-20T21:38:18.1146741Z inflating: build/lib/torch/include/ATen/ops/index_reduce_meta.h 2024-08-20T21:38:18.1147367Z inflating: build/lib/torch/include/ATen/ops/index_reduce_meta_dispatch.h 2024-08-20T21:38:18.1148032Z inflating: build/lib/torch/include/ATen/ops/index_reduce_native.h 2024-08-20T21:38:18.1148533Z inflating: build/lib/torch/include/ATen/ops/index_reduce_ops.h 2024-08-20T21:38:18.1148965Z inflating: build/lib/torch/include/ATen/ops/index_select.h 2024-08-20T21:38:18.1149535Z inflating: build/lib/torch/include/ATen/ops/index_select_backward.h 2024-08-20T21:38:18.1150535Z inflating: build/lib/torch/include/ATen/ops/index_select_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1151030Z inflating: build/lib/torch/include/ATen/ops/index_select_backward_native.h 2024-08-20T21:38:18.1151748Z inflating: build/lib/torch/include/ATen/ops/index_select_backward_ops.h 2024-08-20T21:38:18.1152639Z inflating: build/lib/torch/include/ATen/ops/index_select_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1153268Z inflating: build/lib/torch/include/ATen/ops/index_select_cpu_dispatch.h 2024-08-20T21:38:18.1153893Z inflating: build/lib/torch/include/ATen/ops/index_select_cuda_dispatch.h 2024-08-20T21:38:18.1154417Z inflating: build/lib/torch/include/ATen/ops/index_select_native.h 2024-08-20T21:38:18.1154923Z inflating: build/lib/torch/include/ATen/ops/index_select_ops.h 2024-08-20T21:38:18.1155300Z inflating: build/lib/torch/include/ATen/ops/indices.h 2024-08-20T21:38:18.1156154Z inflating: build/lib/torch/include/ATen/ops/indices_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1156611Z inflating: build/lib/torch/include/ATen/ops/indices_copy.h 2024-08-20T21:38:18.1157507Z inflating: build/lib/torch/include/ATen/ops/indices_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1158601Z inflating: build/lib/torch/include/ATen/ops/indices_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1159146Z inflating: build/lib/torch/include/ATen/ops/indices_copy_native.h 2024-08-20T21:38:18.1159640Z inflating: build/lib/torch/include/ATen/ops/indices_copy_ops.h 2024-08-20T21:38:18.1160127Z inflating: build/lib/torch/include/ATen/ops/indices_native.h 2024-08-20T21:38:18.1160569Z inflating: build/lib/torch/include/ATen/ops/indices_ops.h 2024-08-20T21:38:18.1161356Z inflating: build/lib/torch/include/ATen/ops/infinitely_differentiable_gelu_backward.h 2024-08-20T21:38:18.1162698Z inflating: build/lib/torch/include/ATen/ops/infinitely_differentiable_gelu_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1163693Z inflating: build/lib/torch/include/ATen/ops/infinitely_differentiable_gelu_backward_native.h 2024-08-20T21:38:18.1164552Z inflating: build/lib/torch/include/ATen/ops/infinitely_differentiable_gelu_backward_ops.h 2024-08-20T21:38:18.1164946Z inflating: build/lib/torch/include/ATen/ops/inner.h 2024-08-20T21:38:18.1165765Z inflating: build/lib/torch/include/ATen/ops/inner_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1166232Z inflating: build/lib/torch/include/ATen/ops/inner_native.h 2024-08-20T21:38:18.1166636Z inflating: build/lib/torch/include/ATen/ops/inner_ops.h 2024-08-20T21:38:18.1167099Z inflating: build/lib/torch/include/ATen/ops/instance_norm.h 2024-08-20T21:38:18.1168034Z inflating: build/lib/torch/include/ATen/ops/instance_norm_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1168574Z inflating: build/lib/torch/include/ATen/ops/instance_norm_native.h 2024-08-20T21:38:18.1169086Z inflating: build/lib/torch/include/ATen/ops/instance_norm_ops.h 2024-08-20T21:38:18.1169489Z inflating: build/lib/torch/include/ATen/ops/int_repr.h 2024-08-20T21:38:18.1170322Z inflating: build/lib/torch/include/ATen/ops/int_repr_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1170912Z inflating: build/lib/torch/include/ATen/ops/int_repr_native.h 2024-08-20T21:38:18.1171355Z inflating: build/lib/torch/include/ATen/ops/int_repr_ops.h 2024-08-20T21:38:18.1171751Z inflating: build/lib/torch/include/ATen/ops/inverse.h 2024-08-20T21:38:18.1172603Z inflating: build/lib/torch/include/ATen/ops/inverse_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1173078Z inflating: build/lib/torch/include/ATen/ops/inverse_native.h 2024-08-20T21:38:18.1173516Z inflating: build/lib/torch/include/ATen/ops/inverse_ops.h 2024-08-20T21:38:18.1173972Z inflating: build/lib/torch/include/ATen/ops/is_coalesced.h 2024-08-20T21:38:18.1174845Z inflating: build/lib/torch/include/ATen/ops/is_coalesced_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1175369Z inflating: build/lib/torch/include/ATen/ops/is_coalesced_native.h 2024-08-20T21:38:18.1175876Z inflating: build/lib/torch/include/ATen/ops/is_coalesced_ops.h 2024-08-20T21:38:18.1176373Z inflating: build/lib/torch/include/ATen/ops/is_complex.h 2024-08-20T21:38:18.1177270Z inflating: build/lib/torch/include/ATen/ops/is_complex_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1177779Z inflating: build/lib/torch/include/ATen/ops/is_complex_native.h 2024-08-20T21:38:18.1178264Z inflating: build/lib/torch/include/ATen/ops/is_complex_ops.h 2024-08-20T21:38:18.1178665Z inflating: build/lib/torch/include/ATen/ops/is_conj.h 2024-08-20T21:38:18.1179494Z inflating: build/lib/torch/include/ATen/ops/is_conj_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1180015Z inflating: build/lib/torch/include/ATen/ops/is_conj_native.h 2024-08-20T21:38:18.1180455Z inflating: build/lib/torch/include/ATen/ops/is_conj_ops.h 2024-08-20T21:38:18.1180928Z inflating: build/lib/torch/include/ATen/ops/is_distributed.h 2024-08-20T21:38:18.1181846Z inflating: build/lib/torch/include/ATen/ops/is_distributed_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1182432Z inflating: build/lib/torch/include/ATen/ops/is_distributed_native.h 2024-08-20T21:38:18.1182953Z inflating: build/lib/torch/include/ATen/ops/is_distributed_ops.h 2024-08-20T21:38:18.1183472Z inflating: build/lib/torch/include/ATen/ops/is_floating_point.h 2024-08-20T21:38:18.1184424Z inflating: build/lib/torch/include/ATen/ops/is_floating_point_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1185038Z inflating: build/lib/torch/include/ATen/ops/is_floating_point_native.h 2024-08-20T21:38:18.1185598Z inflating: build/lib/torch/include/ATen/ops/is_floating_point_ops.h 2024-08-20T21:38:18.1186065Z inflating: build/lib/torch/include/ATen/ops/is_inference.h 2024-08-20T21:38:18.1186944Z inflating: build/lib/torch/include/ATen/ops/is_inference_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1187437Z inflating: build/lib/torch/include/ATen/ops/is_inference_native.h 2024-08-20T21:38:18.1187883Z inflating: build/lib/torch/include/ATen/ops/is_inference_ops.h 2024-08-20T21:38:18.1188268Z inflating: build/lib/torch/include/ATen/ops/is_leaf.h 2024-08-20T21:38:18.1189103Z inflating: build/lib/torch/include/ATen/ops/is_leaf_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1189585Z inflating: build/lib/torch/include/ATen/ops/is_leaf_native.h 2024-08-20T21:38:18.1190004Z inflating: build/lib/torch/include/ATen/ops/is_leaf_ops.h 2024-08-20T21:38:18.1190402Z inflating: build/lib/torch/include/ATen/ops/is_neg.h 2024-08-20T21:38:18.1191239Z inflating: build/lib/torch/include/ATen/ops/is_neg_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1191706Z inflating: build/lib/torch/include/ATen/ops/is_neg_native.h 2024-08-20T21:38:18.1192143Z inflating: build/lib/torch/include/ATen/ops/is_neg_ops.h 2024-08-20T21:38:18.1192547Z inflating: build/lib/torch/include/ATen/ops/is_nonzero.h 2024-08-20T21:38:18.1193395Z inflating: build/lib/torch/include/ATen/ops/is_nonzero_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1193922Z inflating: build/lib/torch/include/ATen/ops/is_nonzero_native.h 2024-08-20T21:38:18.1194491Z inflating: build/lib/torch/include/ATen/ops/is_nonzero_ops.h 2024-08-20T21:38:18.1194907Z inflating: build/lib/torch/include/ATen/ops/is_pinned.h 2024-08-20T21:38:18.1195756Z inflating: build/lib/torch/include/ATen/ops/is_pinned_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1196252Z inflating: build/lib/torch/include/ATen/ops/is_pinned_native.h 2024-08-20T21:38:18.1196738Z inflating: build/lib/torch/include/ATen/ops/is_pinned_ops.h 2024-08-20T21:38:18.1197171Z inflating: build/lib/torch/include/ATen/ops/is_same_size.h 2024-08-20T21:38:18.1198088Z inflating: build/lib/torch/include/ATen/ops/is_same_size_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1198628Z inflating: build/lib/torch/include/ATen/ops/is_same_size_native.h 2024-08-20T21:38:18.1199122Z inflating: build/lib/torch/include/ATen/ops/is_same_size_ops.h 2024-08-20T21:38:18.1199604Z inflating: build/lib/torch/include/ATen/ops/is_set_to.h 2024-08-20T21:38:18.1200195Z inflating: build/lib/torch/include/ATen/ops/is_set_to_cpu_dispatch.h 2024-08-20T21:38:18.1200774Z inflating: build/lib/torch/include/ATen/ops/is_set_to_cuda_dispatch.h 2024-08-20T21:38:18.1201269Z inflating: build/lib/torch/include/ATen/ops/is_set_to_native.h 2024-08-20T21:38:18.1201737Z inflating: build/lib/torch/include/ATen/ops/is_set_to_ops.h 2024-08-20T21:38:18.1202135Z inflating: build/lib/torch/include/ATen/ops/is_signed.h 2024-08-20T21:38:18.1203002Z inflating: build/lib/torch/include/ATen/ops/is_signed_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1203488Z inflating: build/lib/torch/include/ATen/ops/is_signed_native.h 2024-08-20T21:38:18.1203948Z inflating: build/lib/torch/include/ATen/ops/is_signed_ops.h 2024-08-20T21:38:18.1204484Z inflating: build/lib/torch/include/ATen/ops/is_vulkan_available.h 2024-08-20T21:38:18.1205569Z inflating: build/lib/torch/include/ATen/ops/is_vulkan_available_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1206203Z inflating: build/lib/torch/include/ATen/ops/is_vulkan_available_native.h 2024-08-20T21:38:18.1206798Z inflating: build/lib/torch/include/ATen/ops/is_vulkan_available_ops.h 2024-08-20T21:38:18.1207179Z inflating: build/lib/torch/include/ATen/ops/isclose.h 2024-08-20T21:38:18.1208043Z inflating: build/lib/torch/include/ATen/ops/isclose_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1208530Z inflating: build/lib/torch/include/ATen/ops/isclose_native.h 2024-08-20T21:38:18.1208952Z inflating: build/lib/torch/include/ATen/ops/isclose_ops.h 2024-08-20T21:38:18.1209358Z inflating: build/lib/torch/include/ATen/ops/isfinite.h 2024-08-20T21:38:18.1210216Z inflating: build/lib/torch/include/ATen/ops/isfinite_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1210697Z inflating: build/lib/torch/include/ATen/ops/isfinite_native.h 2024-08-20T21:38:18.1211160Z inflating: build/lib/torch/include/ATen/ops/isfinite_ops.h 2024-08-20T21:38:18.1211537Z inflating: build/lib/torch/include/ATen/ops/isin.h 2024-08-20T21:38:18.1212511Z inflating: build/lib/torch/include/ATen/ops/isin_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1213032Z inflating: build/lib/torch/include/ATen/ops/isin_cpu_dispatch.h 2024-08-20T21:38:18.1213549Z inflating: build/lib/torch/include/ATen/ops/isin_cuda_dispatch.h 2024-08-20T21:38:18.1213986Z inflating: build/lib/torch/include/ATen/ops/isin_meta.h 2024-08-20T21:38:18.1214499Z inflating: build/lib/torch/include/ATen/ops/isin_meta_dispatch.h 2024-08-20T21:38:18.1214916Z inflating: build/lib/torch/include/ATen/ops/isin_native.h 2024-08-20T21:38:18.1215327Z inflating: build/lib/torch/include/ATen/ops/isin_ops.h 2024-08-20T21:38:18.1215708Z inflating: build/lib/torch/include/ATen/ops/isinf.h 2024-08-20T21:38:18.1216428Z inflating: build/lib/torch/include/ATen/ops/isinf_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1216899Z inflating: build/lib/torch/include/ATen/ops/isinf_native.h 2024-08-20T21:38:18.1217406Z inflating: build/lib/torch/include/ATen/ops/isinf_ops.h 2024-08-20T21:38:18.1217772Z inflating: build/lib/torch/include/ATen/ops/isnan.h 2024-08-20T21:38:18.1218599Z inflating: build/lib/torch/include/ATen/ops/isnan_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1219126Z inflating: build/lib/torch/include/ATen/ops/isnan_cpu_dispatch.h 2024-08-20T21:38:18.1219668Z inflating: build/lib/torch/include/ATen/ops/isnan_cuda_dispatch.h 2024-08-20T21:38:18.1220181Z inflating: build/lib/torch/include/ATen/ops/isnan_native.h 2024-08-20T21:38:18.1220585Z inflating: build/lib/torch/include/ATen/ops/isnan_ops.h 2024-08-20T21:38:18.1220979Z inflating: build/lib/torch/include/ATen/ops/isneginf.h 2024-08-20T21:38:18.1222020Z inflating: build/lib/torch/include/ATen/ops/isneginf_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1222704Z inflating: build/lib/torch/include/ATen/ops/isneginf_cpu_dispatch.h 2024-08-20T21:38:18.1223393Z inflating: build/lib/torch/include/ATen/ops/isneginf_cuda_dispatch.h 2024-08-20T21:38:18.1223872Z inflating: build/lib/torch/include/ATen/ops/isneginf_meta.h 2024-08-20T21:38:18.1224434Z inflating: build/lib/torch/include/ATen/ops/isneginf_meta_dispatch.h 2024-08-20T21:38:18.1224960Z inflating: build/lib/torch/include/ATen/ops/isneginf_native.h 2024-08-20T21:38:18.1225281Z inflating: build/lib/torch/include/ATen/ops/isneginf_ops.h 2024-08-20T21:38:18.1225561Z inflating: build/lib/torch/include/ATen/ops/isposinf.h 2024-08-20T21:38:18.1226722Z inflating: build/lib/torch/include/ATen/ops/isposinf_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1227374Z inflating: build/lib/torch/include/ATen/ops/isposinf_cpu_dispatch.h 2024-08-20T21:38:18.1227973Z inflating: build/lib/torch/include/ATen/ops/isposinf_cuda_dispatch.h 2024-08-20T21:38:18.1228444Z inflating: build/lib/torch/include/ATen/ops/isposinf_meta.h 2024-08-20T21:38:18.1229038Z inflating: build/lib/torch/include/ATen/ops/isposinf_meta_dispatch.h 2024-08-20T21:38:18.1229548Z inflating: build/lib/torch/include/ATen/ops/isposinf_native.h 2024-08-20T21:38:18.1229983Z inflating: build/lib/torch/include/ATen/ops/isposinf_ops.h 2024-08-20T21:38:18.1230356Z inflating: build/lib/torch/include/ATen/ops/isreal.h 2024-08-20T21:38:18.1231208Z inflating: build/lib/torch/include/ATen/ops/isreal_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1231666Z inflating: build/lib/torch/include/ATen/ops/isreal_native.h 2024-08-20T21:38:18.1232096Z inflating: build/lib/torch/include/ATen/ops/isreal_ops.h 2024-08-20T21:38:18.1232471Z inflating: build/lib/torch/include/ATen/ops/istft.h 2024-08-20T21:38:18.1233272Z inflating: build/lib/torch/include/ATen/ops/istft_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1233739Z inflating: build/lib/torch/include/ATen/ops/istft_native.h 2024-08-20T21:38:18.1239470Z inflating: build/lib/torch/include/ATen/ops/istft_ops.h 2024-08-20T21:38:18.1239817Z inflating: build/lib/torch/include/ATen/ops/item.h 2024-08-20T21:38:18.1240315Z inflating: build/lib/torch/include/ATen/ops/item_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1240552Z inflating: build/lib/torch/include/ATen/ops/item_native.h 2024-08-20T21:38:18.1240823Z inflating: build/lib/torch/include/ATen/ops/item_ops.h 2024-08-20T21:38:18.1241077Z inflating: build/lib/torch/include/ATen/ops/kaiser_window.h 2024-08-20T21:38:18.1241567Z inflating: build/lib/torch/include/ATen/ops/kaiser_window_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1241945Z inflating: build/lib/torch/include/ATen/ops/kaiser_window_native.h 2024-08-20T21:38:18.1242223Z inflating: build/lib/torch/include/ATen/ops/kaiser_window_ops.h 2024-08-20T21:38:18.1242441Z inflating: build/lib/torch/include/ATen/ops/kl_div.h 2024-08-20T21:38:18.1242920Z inflating: build/lib/torch/include/ATen/ops/kl_div_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1243383Z inflating: build/lib/torch/include/ATen/ops/kl_div_native.h 2024-08-20T21:38:18.1243653Z inflating: build/lib/torch/include/ATen/ops/kl_div_ops.h 2024-08-20T21:38:18.1243865Z inflating: build/lib/torch/include/ATen/ops/kron.h 2024-08-20T21:38:18.1244297Z inflating: build/lib/torch/include/ATen/ops/kron_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1244542Z inflating: build/lib/torch/include/ATen/ops/kron_native.h 2024-08-20T21:38:18.1244796Z inflating: build/lib/torch/include/ATen/ops/kron_ops.h 2024-08-20T21:38:18.1245012Z inflating: build/lib/torch/include/ATen/ops/kthvalue.h 2024-08-20T21:38:18.1245530Z inflating: build/lib/torch/include/ATen/ops/kthvalue_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1246032Z inflating: build/lib/torch/include/ATen/ops/kthvalue_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1246463Z inflating: build/lib/torch/include/ATen/ops/kthvalue_cpu_dispatch.h 2024-08-20T21:38:18.1246854Z inflating: build/lib/torch/include/ATen/ops/kthvalue_cuda_dispatch.h 2024-08-20T21:38:18.1247157Z inflating: build/lib/torch/include/ATen/ops/kthvalue_native.h 2024-08-20T21:38:18.1247422Z inflating: build/lib/torch/include/ATen/ops/kthvalue_ops.h 2024-08-20T21:38:18.1247655Z inflating: build/lib/torch/include/ATen/ops/l1_loss.h 2024-08-20T21:38:18.1248137Z inflating: build/lib/torch/include/ATen/ops/l1_loss_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1248401Z inflating: build/lib/torch/include/ATen/ops/l1_loss_native.h 2024-08-20T21:38:18.1248669Z inflating: build/lib/torch/include/ATen/ops/l1_loss_ops.h 2024-08-20T21:38:18.1248892Z inflating: build/lib/torch/include/ATen/ops/layer_norm.h 2024-08-20T21:38:18.1249409Z inflating: build/lib/torch/include/ATen/ops/layer_norm_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1249692Z inflating: build/lib/torch/include/ATen/ops/layer_norm_native.h 2024-08-20T21:38:18.1249988Z inflating: build/lib/torch/include/ATen/ops/layer_norm_ops.h 2024-08-20T21:38:18.1250187Z inflating: build/lib/torch/include/ATen/ops/lcm.h 2024-08-20T21:38:18.1250749Z inflating: build/lib/torch/include/ATen/ops/lcm_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1251075Z inflating: build/lib/torch/include/ATen/ops/lcm_cpu_dispatch.h 2024-08-20T21:38:18.1251351Z inflating: build/lib/torch/include/ATen/ops/lcm_cuda_dispatch.h 2024-08-20T21:38:18.1251578Z inflating: build/lib/torch/include/ATen/ops/lcm_meta.h 2024-08-20T21:38:18.1251888Z inflating: build/lib/torch/include/ATen/ops/lcm_meta_dispatch.h 2024-08-20T21:38:18.1252114Z inflating: build/lib/torch/include/ATen/ops/lcm_native.h 2024-08-20T21:38:18.1252322Z inflating: build/lib/torch/include/ATen/ops/lcm_ops.h 2024-08-20T21:38:18.1252575Z inflating: build/lib/torch/include/ATen/ops/ldexp.h 2024-08-20T21:38:18.1253055Z inflating: build/lib/torch/include/ATen/ops/ldexp_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1253299Z inflating: build/lib/torch/include/ATen/ops/ldexp_native.h 2024-08-20T21:38:18.1253532Z inflating: build/lib/torch/include/ATen/ops/ldexp_ops.h 2024-08-20T21:38:18.1253758Z inflating: build/lib/torch/include/ATen/ops/le.h 2024-08-20T21:38:18.1254307Z inflating: build/lib/torch/include/ATen/ops/le_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1254582Z inflating: build/lib/torch/include/ATen/ops/le_cpu_dispatch.h 2024-08-20T21:38:18.1254847Z inflating: build/lib/torch/include/ATen/ops/le_cuda_dispatch.h 2024-08-20T21:38:18.1255104Z inflating: build/lib/torch/include/ATen/ops/le_meta.h 2024-08-20T21:38:18.1255367Z inflating: build/lib/torch/include/ATen/ops/le_meta_dispatch.h 2024-08-20T21:38:18.1255625Z inflating: build/lib/torch/include/ATen/ops/le_native.h 2024-08-20T21:38:18.1255843Z inflating: build/lib/torch/include/ATen/ops/le_ops.h 2024-08-20T21:38:18.1256072Z inflating: build/lib/torch/include/ATen/ops/leaky_relu.h 2024-08-20T21:38:18.1256456Z inflating: build/lib/torch/include/ATen/ops/leaky_relu_backward.h 2024-08-20T21:38:18.1257131Z inflating: build/lib/torch/include/ATen/ops/leaky_relu_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1257546Z inflating: build/lib/torch/include/ATen/ops/leaky_relu_backward_cpu_dispatch.h 2024-08-20T21:38:18.1257944Z inflating: build/lib/torch/include/ATen/ops/leaky_relu_backward_cuda_dispatch.h 2024-08-20T21:38:18.1258303Z inflating: build/lib/torch/include/ATen/ops/leaky_relu_backward_meta.h 2024-08-20T21:38:18.1258721Z inflating: build/lib/torch/include/ATen/ops/leaky_relu_backward_meta_dispatch.h 2024-08-20T21:38:18.1259086Z inflating: build/lib/torch/include/ATen/ops/leaky_relu_backward_native.h 2024-08-20T21:38:18.1259425Z inflating: build/lib/torch/include/ATen/ops/leaky_relu_backward_ops.h 2024-08-20T21:38:18.1260192Z inflating: build/lib/torch/include/ATen/ops/leaky_relu_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1260571Z inflating: build/lib/torch/include/ATen/ops/leaky_relu_cpu_dispatch.h 2024-08-20T21:38:18.1260928Z inflating: build/lib/torch/include/ATen/ops/leaky_relu_cuda_dispatch.h 2024-08-20T21:38:18.1261216Z inflating: build/lib/torch/include/ATen/ops/leaky_relu_meta.h 2024-08-20T21:38:18.1261539Z inflating: build/lib/torch/include/ATen/ops/leaky_relu_meta_dispatch.h 2024-08-20T21:38:18.1261856Z inflating: build/lib/torch/include/ATen/ops/leaky_relu_native.h 2024-08-20T21:38:18.1262159Z inflating: build/lib/torch/include/ATen/ops/leaky_relu_ops.h 2024-08-20T21:38:18.1262359Z inflating: build/lib/torch/include/ATen/ops/lerp.h 2024-08-20T21:38:18.1262928Z inflating: build/lib/torch/include/ATen/ops/lerp_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1263238Z inflating: build/lib/torch/include/ATen/ops/lerp_cpu_dispatch.h 2024-08-20T21:38:18.1263540Z inflating: build/lib/torch/include/ATen/ops/lerp_cuda_dispatch.h 2024-08-20T21:38:18.1263765Z inflating: build/lib/torch/include/ATen/ops/lerp_meta.h 2024-08-20T21:38:18.1264055Z inflating: build/lib/torch/include/ATen/ops/lerp_meta_dispatch.h 2024-08-20T21:38:18.1264324Z inflating: build/lib/torch/include/ATen/ops/lerp_native.h 2024-08-20T21:38:18.1264552Z inflating: build/lib/torch/include/ATen/ops/lerp_ops.h 2024-08-20T21:38:18.1264784Z inflating: build/lib/torch/include/ATen/ops/less.h 2024-08-20T21:38:18.1265217Z inflating: build/lib/torch/include/ATen/ops/less_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1265496Z inflating: build/lib/torch/include/ATen/ops/less_equal.h 2024-08-20T21:38:18.1265955Z inflating: build/lib/torch/include/ATen/ops/less_equal_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1266268Z inflating: build/lib/torch/include/ATen/ops/less_equal_native.h 2024-08-20T21:38:18.1266536Z inflating: build/lib/torch/include/ATen/ops/less_equal_ops.h 2024-08-20T21:38:18.1266809Z inflating: build/lib/torch/include/ATen/ops/less_native.h 2024-08-20T21:38:18.1267024Z inflating: build/lib/torch/include/ATen/ops/less_ops.h 2024-08-20T21:38:18.1267280Z inflating: build/lib/torch/include/ATen/ops/lgamma.h 2024-08-20T21:38:18.1267860Z inflating: build/lib/torch/include/ATen/ops/lgamma_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1268160Z inflating: build/lib/torch/include/ATen/ops/lgamma_cpu_dispatch.h 2024-08-20T21:38:18.1268493Z inflating: build/lib/torch/include/ATen/ops/lgamma_cuda_dispatch.h 2024-08-20T21:38:18.1268723Z inflating: build/lib/torch/include/ATen/ops/lgamma_meta.h 2024-08-20T21:38:18.1269068Z inflating: build/lib/torch/include/ATen/ops/lgamma_meta_dispatch.h 2024-08-20T21:38:18.1269328Z inflating: build/lib/torch/include/ATen/ops/lgamma_native.h 2024-08-20T21:38:18.1269588Z inflating: build/lib/torch/include/ATen/ops/lgamma_ops.h 2024-08-20T21:38:18.1269795Z inflating: build/lib/torch/include/ATen/ops/lift.h 2024-08-20T21:38:18.1270332Z inflating: build/lib/torch/include/ATen/ops/lift_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1270601Z inflating: build/lib/torch/include/ATen/ops/lift_fresh.h 2024-08-20T21:38:18.1271078Z inflating: build/lib/torch/include/ATen/ops/lift_fresh_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1271335Z inflating: build/lib/torch/include/ATen/ops/lift_fresh_copy.h 2024-08-20T21:38:18.1271886Z inflating: build/lib/torch/include/ATen/ops/lift_fresh_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1272520Z inflating: build/lib/torch/include/ATen/ops/lift_fresh_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1272864Z inflating: build/lib/torch/include/ATen/ops/lift_fresh_copy_native.h 2024-08-20T21:38:18.1273201Z inflating: build/lib/torch/include/ATen/ops/lift_fresh_copy_ops.h 2024-08-20T21:38:18.1273538Z inflating: build/lib/torch/include/ATen/ops/lift_fresh_native.h 2024-08-20T21:38:18.1273836Z inflating: build/lib/torch/include/ATen/ops/lift_fresh_ops.h 2024-08-20T21:38:18.1274078Z inflating: build/lib/torch/include/ATen/ops/lift_native.h 2024-08-20T21:38:18.1274291Z inflating: build/lib/torch/include/ATen/ops/lift_ops.h 2024-08-20T21:38:18.1275572Z inflating: build/lib/torch/include/ATen/ops/linalg_cholesky.h 2024-08-20T21:38:18.1276113Z inflating: build/lib/torch/include/ATen/ops/linalg_cholesky_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1276395Z inflating: build/lib/torch/include/ATen/ops/linalg_cholesky_ex.h 2024-08-20T21:38:18.1277061Z inflating: build/lib/torch/include/ATen/ops/linalg_cholesky_ex_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1277473Z inflating: build/lib/torch/include/ATen/ops/linalg_cholesky_ex_cpu_dispatch.h 2024-08-20T21:38:18.1277849Z inflating: build/lib/torch/include/ATen/ops/linalg_cholesky_ex_cuda_dispatch.h 2024-08-20T21:38:18.1278219Z inflating: build/lib/torch/include/ATen/ops/linalg_cholesky_ex_meta.h 2024-08-20T21:38:18.1278635Z inflating: build/lib/torch/include/ATen/ops/linalg_cholesky_ex_meta_dispatch.h 2024-08-20T21:38:18.1278981Z inflating: build/lib/torch/include/ATen/ops/linalg_cholesky_ex_native.h 2024-08-20T21:38:18.1279328Z inflating: build/lib/torch/include/ATen/ops/linalg_cholesky_ex_ops.h 2024-08-20T21:38:18.1279650Z inflating: build/lib/torch/include/ATen/ops/linalg_cholesky_native.h 2024-08-20T21:38:18.1279974Z inflating: build/lib/torch/include/ATen/ops/linalg_cholesky_ops.h 2024-08-20T21:38:18.1280225Z inflating: build/lib/torch/include/ATen/ops/linalg_cond.h 2024-08-20T21:38:18.1280742Z inflating: build/lib/torch/include/ATen/ops/linalg_cond_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1281048Z inflating: build/lib/torch/include/ATen/ops/linalg_cond_native.h 2024-08-20T21:38:18.1281344Z inflating: build/lib/torch/include/ATen/ops/linalg_cond_ops.h 2024-08-20T21:38:18.1281589Z inflating: build/lib/torch/include/ATen/ops/linalg_cross.h 2024-08-20T21:38:18.1281862Z inflating: build/lib/torch/include/ATen/ops/mT_ops.h 2024-08-20T21:38:18.1282453Z inflating: build/lib/torch/include/ATen/ops/linalg_cross_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1282830Z inflating: build/lib/torch/include/ATen/ops/linalg_cross_cpu_dispatch.h 2024-08-20T21:38:18.1283207Z inflating: build/lib/torch/include/ATen/ops/linalg_cross_cuda_dispatch.h 2024-08-20T21:38:18.1283522Z inflating: build/lib/torch/include/ATen/ops/linalg_cross_meta.h 2024-08-20T21:38:18.1283996Z inflating: build/lib/torch/include/ATen/ops/linalg_cross_meta_dispatch.h 2024-08-20T21:38:18.1284368Z inflating: build/lib/torch/include/ATen/ops/linalg_cross_native.h 2024-08-20T21:38:18.1284705Z inflating: build/lib/torch/include/ATen/ops/linalg_cross_ops.h 2024-08-20T21:38:18.1284993Z inflating: build/lib/torch/include/ATen/ops/linalg_det.h 2024-08-20T21:38:18.1285583Z inflating: build/lib/torch/include/ATen/ops/linalg_det_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1286066Z inflating: build/lib/torch/include/ATen/ops/linalg_det_native.h 2024-08-20T21:38:18.1286393Z inflating: build/lib/torch/include/ATen/ops/linalg_det_ops.h 2024-08-20T21:38:18.1286735Z inflating: build/lib/torch/include/ATen/ops/linalg_diagonal.h 2024-08-20T21:38:18.1287369Z inflating: build/lib/torch/include/ATen/ops/linalg_diagonal_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1287758Z inflating: build/lib/torch/include/ATen/ops/linalg_diagonal_native.h 2024-08-20T21:38:18.1288110Z inflating: build/lib/torch/include/ATen/ops/linalg_diagonal_ops.h 2024-08-20T21:38:18.1288384Z inflating: build/lib/torch/include/ATen/ops/linalg_eig.h 2024-08-20T21:38:18.1288796Z inflating: build/lib/torch/include/ATen/ops/linalg_eig_cpu_dispatch.h 2024-08-20T21:38:18.1289193Z inflating: build/lib/torch/include/ATen/ops/linalg_eig_cuda_dispatch.h 2024-08-20T21:38:18.1289648Z inflating: build/lib/torch/include/ATen/ops/linalg_eig_native.h 2024-08-20T21:38:18.1289946Z inflating: build/lib/torch/include/ATen/ops/linalg_eig_ops.h 2024-08-20T21:38:18.1290256Z inflating: build/lib/torch/include/ATen/ops/linalg_eigh.h 2024-08-20T21:38:18.1290833Z inflating: build/lib/torch/include/ATen/ops/linalg_eigh_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1291155Z inflating: build/lib/torch/include/ATen/ops/linalg_eigh_native.h 2024-08-20T21:38:18.1291543Z inflating: build/lib/torch/include/ATen/ops/linalg_eigh_ops.h 2024-08-20T21:38:18.1291877Z inflating: build/lib/torch/include/ATen/ops/linalg_eigvals.h 2024-08-20T21:38:18.1292460Z inflating: build/lib/torch/include/ATen/ops/linalg_eigvals_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1292906Z inflating: build/lib/torch/include/ATen/ops/linalg_eigvals_cpu_dispatch.h 2024-08-20T21:38:18.1293356Z inflating: build/lib/torch/include/ATen/ops/linalg_eigvals_cuda_dispatch.h 2024-08-20T21:38:18.1293744Z inflating: build/lib/torch/include/ATen/ops/linalg_eigvals_native.h 2024-08-20T21:38:18.1294134Z inflating: build/lib/torch/include/ATen/ops/linalg_eigvals_ops.h 2024-08-20T21:38:18.1294438Z inflating: build/lib/torch/include/ATen/ops/linalg_eigvalsh.h 2024-08-20T21:38:18.1295063Z inflating: build/lib/torch/include/ATen/ops/linalg_eigvalsh_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1295458Z inflating: build/lib/torch/include/ATen/ops/linalg_eigvalsh_native.h 2024-08-20T21:38:18.1295798Z inflating: build/lib/torch/include/ATen/ops/linalg_eigvalsh_ops.h 2024-08-20T21:38:18.1296238Z inflating: build/lib/torch/include/ATen/ops/linalg_householder_product.h 2024-08-20T21:38:18.1296751Z inflating: build/lib/torch/include/ATen/ops/linalg_householder_product_cpu_dispatch.h 2024-08-20T21:38:18.1297271Z inflating: build/lib/torch/include/ATen/ops/linalg_householder_product_cuda_dispatch.h 2024-08-20T21:38:18.1297779Z inflating: build/lib/torch/include/ATen/ops/linalg_householder_product_native.h 2024-08-20T21:38:18.1298264Z inflating: build/lib/torch/include/ATen/ops/linalg_householder_product_ops.h 2024-08-20T21:38:18.1298566Z inflating: build/lib/torch/include/ATen/ops/linalg_inv.h 2024-08-20T21:38:18.1299137Z inflating: build/lib/torch/include/ATen/ops/linalg_inv_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1299449Z inflating: build/lib/torch/include/ATen/ops/linalg_inv_ex.h 2024-08-20T21:38:18.1300270Z inflating: build/lib/torch/include/ATen/ops/linalg_inv_ex_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1300639Z inflating: build/lib/torch/include/ATen/ops/linalg_inv_ex_cpu_dispatch.h 2024-08-20T21:38:18.1301030Z inflating: build/lib/torch/include/ATen/ops/linalg_inv_ex_cuda_dispatch.h 2024-08-20T21:38:18.1301436Z inflating: build/lib/torch/include/ATen/ops/linalg_inv_ex_meta.h 2024-08-20T21:38:18.1301842Z inflating: build/lib/torch/include/ATen/ops/linalg_inv_ex_meta_dispatch.h 2024-08-20T21:38:18.1302316Z inflating: build/lib/torch/include/ATen/ops/linalg_inv_ex_native.h 2024-08-20T21:38:18.1302640Z inflating: build/lib/torch/include/ATen/ops/linalg_inv_ex_ops.h 2024-08-20T21:38:18.1302985Z inflating: build/lib/torch/include/ATen/ops/linalg_inv_native.h 2024-08-20T21:38:18.1303322Z inflating: build/lib/torch/include/ATen/ops/linalg_inv_ops.h 2024-08-20T21:38:18.1303665Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_factor.h 2024-08-20T21:38:18.1304282Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_factor_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1304677Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_factor_ex.h 2024-08-20T21:38:18.1305488Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_factor_ex_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1305945Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_factor_ex_cpu_dispatch.h 2024-08-20T21:38:18.1306531Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_factor_ex_cuda_dispatch.h 2024-08-20T21:38:18.1306944Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_factor_ex_meta.h 2024-08-20T21:38:18.1307449Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_factor_ex_meta_dispatch.h 2024-08-20T21:38:18.1307890Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_factor_ex_native.h 2024-08-20T21:38:18.1308249Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_factor_ex_ops.h 2024-08-20T21:38:18.1308696Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_factor_native.h 2024-08-20T21:38:18.1309066Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_factor_ops.h 2024-08-20T21:38:18.1309412Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_solve.h 2024-08-20T21:38:18.1310178Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_solve_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1310602Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_solve_cpu_dispatch.h 2024-08-20T21:38:18.1311064Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_solve_cuda_dispatch.h 2024-08-20T21:38:18.1311437Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_solve_meta.h 2024-08-20T21:38:18.1311894Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_solve_meta_dispatch.h 2024-08-20T21:38:18.1312312Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_solve_native.h 2024-08-20T21:38:18.1312663Z inflating: build/lib/torch/include/ATen/ops/linalg_ldl_solve_ops.h 2024-08-20T21:38:18.1312975Z inflating: build/lib/torch/include/ATen/ops/linalg_lstsq.h 2024-08-20T21:38:18.1313605Z inflating: build/lib/torch/include/ATen/ops/linalg_lstsq_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1314042Z inflating: build/lib/torch/include/ATen/ops/linalg_lstsq_cpu_dispatch.h 2024-08-20T21:38:18.1314430Z inflating: build/lib/torch/include/ATen/ops/linalg_lstsq_cuda_dispatch.h 2024-08-20T21:38:18.1314844Z inflating: build/lib/torch/include/ATen/ops/linalg_lstsq_native.h 2024-08-20T21:38:18.1315200Z inflating: build/lib/torch/include/ATen/ops/linalg_lstsq_ops.h 2024-08-20T21:38:18.1315478Z inflating: build/lib/torch/include/ATen/ops/linalg_lu.h 2024-08-20T21:38:18.1316145Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1316549Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_cpu_dispatch.h 2024-08-20T21:38:18.1316943Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_cuda_dispatch.h 2024-08-20T21:38:18.1317286Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_factor.h 2024-08-20T21:38:18.1317948Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_factor_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1318287Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_factor_ex.h 2024-08-20T21:38:18.1319035Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_factor_ex_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1319627Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_factor_ex_cpu_dispatch.h 2024-08-20T21:38:18.1320096Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_factor_ex_cuda_dispatch.h 2024-08-20T21:38:18.1320469Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_factor_ex_meta.h 2024-08-20T21:38:18.1320961Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_factor_ex_meta_dispatch.h 2024-08-20T21:38:18.1321381Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_factor_ex_native.h 2024-08-20T21:38:18.1321795Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_factor_ex_ops.h 2024-08-20T21:38:18.1322191Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_factor_native.h 2024-08-20T21:38:18.1322563Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_factor_ops.h 2024-08-20T21:38:18.1322895Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_meta.h 2024-08-20T21:38:18.1323343Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_meta_dispatch.h 2024-08-20T21:38:18.1323719Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_native.h 2024-08-20T21:38:18.1324063Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_ops.h 2024-08-20T21:38:18.1324379Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_solve.h 2024-08-20T21:38:18.1325194Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_solve_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1325608Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_solve_cpu_dispatch.h 2024-08-20T21:38:18.1326205Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_solve_cuda_dispatch.h 2024-08-20T21:38:18.1326519Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_solve_meta.h 2024-08-20T21:38:18.1326918Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_solve_meta_dispatch.h 2024-08-20T21:38:18.1327292Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_solve_native.h 2024-08-20T21:38:18.1327661Z inflating: build/lib/torch/include/ATen/ops/linalg_lu_solve_ops.h 2024-08-20T21:38:18.1327957Z inflating: build/lib/torch/include/ATen/ops/linalg_matmul.h 2024-08-20T21:38:18.1328584Z inflating: build/lib/torch/include/ATen/ops/linalg_matmul_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1328940Z inflating: build/lib/torch/include/ATen/ops/linalg_matmul_native.h 2024-08-20T21:38:18.1329293Z inflating: build/lib/torch/include/ATen/ops/linalg_matmul_ops.h 2024-08-20T21:38:18.1329602Z inflating: build/lib/torch/include/ATen/ops/linalg_matrix_exp.h 2024-08-20T21:38:18.1330267Z inflating: build/lib/torch/include/ATen/ops/linalg_matrix_exp_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1330746Z inflating: build/lib/torch/include/ATen/ops/linalg_matrix_exp_cpu_dispatch.h 2024-08-20T21:38:18.1331169Z inflating: build/lib/torch/include/ATen/ops/linalg_matrix_exp_cuda_dispatch.h 2024-08-20T21:38:18.1331587Z inflating: build/lib/torch/include/ATen/ops/linalg_matrix_exp_native.h 2024-08-20T21:38:18.1331962Z inflating: build/lib/torch/include/ATen/ops/linalg_matrix_exp_ops.h 2024-08-20T21:38:18.1332328Z inflating: build/lib/torch/include/ATen/ops/linalg_matrix_norm.h 2024-08-20T21:38:18.1332974Z inflating: build/lib/torch/include/ATen/ops/linalg_matrix_norm_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1333343Z inflating: build/lib/torch/include/ATen/ops/linalg_matrix_norm_native.h 2024-08-20T21:38:18.1333794Z inflating: build/lib/torch/include/ATen/ops/linalg_matrix_norm_ops.h 2024-08-20T21:38:18.1334139Z inflating: build/lib/torch/include/ATen/ops/linalg_matrix_power.h 2024-08-20T21:38:18.1334774Z inflating: build/lib/torch/include/ATen/ops/linalg_matrix_power_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1335223Z inflating: build/lib/torch/include/ATen/ops/linalg_matrix_power_native.h 2024-08-20T21:38:18.1335607Z inflating: build/lib/torch/include/ATen/ops/linalg_matrix_power_ops.h 2024-08-20T21:38:18.1335964Z inflating: build/lib/torch/include/ATen/ops/linalg_matrix_rank.h 2024-08-20T21:38:18.1336732Z inflating: build/lib/torch/include/ATen/ops/linalg_matrix_rank_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1337207Z inflating: build/lib/torch/include/ATen/ops/linalg_matrix_rank_native.h 2024-08-20T21:38:18.1337534Z inflating: build/lib/torch/include/ATen/ops/linalg_matrix_rank_ops.h 2024-08-20T21:38:18.1337904Z inflating: build/lib/torch/include/ATen/ops/linalg_multi_dot.h 2024-08-20T21:38:18.1338508Z inflating: build/lib/torch/include/ATen/ops/linalg_multi_dot_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1338825Z inflating: build/lib/torch/include/ATen/ops/linalg_multi_dot_native.h 2024-08-20T21:38:18.1339175Z inflating: build/lib/torch/include/ATen/ops/linalg_multi_dot_ops.h 2024-08-20T21:38:18.1339504Z inflating: build/lib/torch/include/ATen/ops/linalg_norm.h 2024-08-20T21:38:18.1340277Z inflating: build/lib/torch/include/ATen/ops/linalg_norm_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1340659Z inflating: build/lib/torch/include/ATen/ops/linalg_norm_native.h 2024-08-20T21:38:18.1340982Z inflating: build/lib/torch/include/ATen/ops/linalg_norm_ops.h 2024-08-20T21:38:18.1341267Z inflating: build/lib/torch/include/ATen/ops/linalg_pinv.h 2024-08-20T21:38:18.1341867Z inflating: build/lib/torch/include/ATen/ops/linalg_pinv_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1342581Z inflating: build/lib/torch/include/ATen/ops/linalg_pinv_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1343181Z inflating: build/lib/torch/include/ATen/ops/linalg_pinv_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1343493Z inflating: build/lib/torch/include/ATen/ops/linalg_pinv_native.h 2024-08-20T21:38:18.1343863Z inflating: build/lib/torch/include/ATen/ops/linalg_pinv_ops.h 2024-08-20T21:38:18.1344120Z inflating: build/lib/torch/include/ATen/ops/linalg_qr.h 2024-08-20T21:38:18.1344772Z inflating: build/lib/torch/include/ATen/ops/linalg_qr_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1345199Z inflating: build/lib/torch/include/ATen/ops/linalg_qr_cpu_dispatch.h 2024-08-20T21:38:18.1345591Z inflating: build/lib/torch/include/ATen/ops/linalg_qr_cuda_dispatch.h 2024-08-20T21:38:18.1345895Z inflating: build/lib/torch/include/ATen/ops/linalg_qr_meta.h 2024-08-20T21:38:18.1346275Z inflating: build/lib/torch/include/ATen/ops/linalg_qr_meta_dispatch.h 2024-08-20T21:38:18.1346595Z inflating: build/lib/torch/include/ATen/ops/linalg_qr_native.h 2024-08-20T21:38:18.1346952Z inflating: build/lib/torch/include/ATen/ops/linalg_qr_ops.h 2024-08-20T21:38:18.1347279Z inflating: build/lib/torch/include/ATen/ops/linalg_slogdet.h 2024-08-20T21:38:18.1347863Z inflating: build/lib/torch/include/ATen/ops/linalg_slogdet_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1348283Z inflating: build/lib/torch/include/ATen/ops/linalg_slogdet_native.h 2024-08-20T21:38:18.1348570Z inflating: build/lib/torch/include/ATen/ops/linalg_slogdet_ops.h 2024-08-20T21:38:18.1348918Z inflating: build/lib/torch/include/ATen/ops/linalg_solve.h 2024-08-20T21:38:18.1349499Z inflating: build/lib/torch/include/ATen/ops/linalg_solve_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1349807Z inflating: build/lib/torch/include/ATen/ops/linalg_solve_ex.h 2024-08-20T21:38:18.1350441Z inflating: build/lib/torch/include/ATen/ops/linalg_solve_ex_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1350838Z inflating: build/lib/torch/include/ATen/ops/linalg_solve_ex_native.h 2024-08-20T21:38:18.1351223Z inflating: build/lib/torch/include/ATen/ops/linalg_solve_ex_ops.h 2024-08-20T21:38:18.1351544Z inflating: build/lib/torch/include/ATen/ops/linalg_solve_native.h 2024-08-20T21:38:18.1351883Z inflating: build/lib/torch/include/ATen/ops/linalg_solve_ops.h 2024-08-20T21:38:18.1352275Z inflating: build/lib/torch/include/ATen/ops/linalg_solve_triangular.h 2024-08-20T21:38:18.1352844Z inflating: build/lib/torch/include/ATen/ops/linalg_solve_triangular_cpu_dispatch.h 2024-08-20T21:38:18.1353340Z inflating: build/lib/torch/include/ATen/ops/linalg_solve_triangular_cuda_dispatch.h 2024-08-20T21:38:18.1353795Z inflating: build/lib/torch/include/ATen/ops/linalg_solve_triangular_native.h 2024-08-20T21:38:18.1354225Z inflating: build/lib/torch/include/ATen/ops/linalg_solve_triangular_ops.h 2024-08-20T21:38:18.1354528Z inflating: build/lib/torch/include/ATen/ops/linalg_svd.h 2024-08-20T21:38:18.1355111Z inflating: build/lib/torch/include/ATen/ops/linalg_svd_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1355423Z inflating: build/lib/torch/include/ATen/ops/linalg_svd_native.h 2024-08-20T21:38:18.1355818Z inflating: build/lib/torch/include/ATen/ops/linalg_svd_ops.h 2024-08-20T21:38:18.1356095Z inflating: build/lib/torch/include/ATen/ops/linalg_svdvals.h 2024-08-20T21:38:18.1356785Z inflating: build/lib/torch/include/ATen/ops/linalg_svdvals_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1357173Z inflating: build/lib/torch/include/ATen/ops/linalg_svdvals_native.h 2024-08-20T21:38:18.1357494Z inflating: build/lib/torch/include/ATen/ops/linalg_svdvals_ops.h 2024-08-20T21:38:18.1357884Z inflating: build/lib/torch/include/ATen/ops/linalg_tensorinv.h 2024-08-20T21:38:18.1358471Z inflating: build/lib/torch/include/ATen/ops/linalg_tensorinv_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1358885Z inflating: build/lib/torch/include/ATen/ops/linalg_tensorinv_native.h 2024-08-20T21:38:18.1359231Z inflating: build/lib/torch/include/ATen/ops/linalg_tensorinv_ops.h 2024-08-20T21:38:18.1359597Z inflating: build/lib/torch/include/ATen/ops/linalg_tensorsolve.h 2024-08-20T21:38:18.1360237Z inflating: build/lib/torch/include/ATen/ops/linalg_tensorsolve_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1360636Z inflating: build/lib/torch/include/ATen/ops/linalg_tensorsolve_native.h 2024-08-20T21:38:18.1361059Z inflating: build/lib/torch/include/ATen/ops/linalg_tensorsolve_ops.h 2024-08-20T21:38:18.1361315Z inflating: build/lib/torch/include/ATen/ops/linalg_vander.h 2024-08-20T21:38:18.1361946Z inflating: build/lib/torch/include/ATen/ops/linalg_vander_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1362304Z inflating: build/lib/torch/include/ATen/ops/linalg_vander_native.h 2024-08-20T21:38:18.1362636Z inflating: build/lib/torch/include/ATen/ops/linalg_vander_ops.h 2024-08-20T21:38:18.1362983Z inflating: build/lib/torch/include/ATen/ops/linalg_vecdot.h 2024-08-20T21:38:18.1363568Z inflating: build/lib/torch/include/ATen/ops/linalg_vecdot_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1363911Z inflating: build/lib/torch/include/ATen/ops/linalg_vecdot_native.h 2024-08-20T21:38:18.1364310Z inflating: build/lib/torch/include/ATen/ops/linalg_vecdot_ops.h 2024-08-20T21:38:18.1364659Z inflating: build/lib/torch/include/ATen/ops/linalg_vector_norm.h 2024-08-20T21:38:18.1365441Z inflating: build/lib/torch/include/ATen/ops/linalg_vector_norm_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1365911Z inflating: build/lib/torch/include/ATen/ops/linalg_vector_norm_cpu_dispatch.h 2024-08-20T21:38:18.1366377Z inflating: build/lib/torch/include/ATen/ops/linalg_vector_norm_cuda_dispatch.h 2024-08-20T21:38:18.1366784Z inflating: build/lib/torch/include/ATen/ops/linalg_vector_norm_meta.h 2024-08-20T21:38:18.1367210Z inflating: build/lib/torch/include/ATen/ops/linalg_vector_norm_meta_dispatch.h 2024-08-20T21:38:18.1367691Z inflating: build/lib/torch/include/ATen/ops/linalg_vector_norm_native.h 2024-08-20T21:38:18.1368062Z inflating: build/lib/torch/include/ATen/ops/linalg_vector_norm_ops.h 2024-08-20T21:38:18.1368305Z inflating: build/lib/torch/include/ATen/ops/linear.h 2024-08-20T21:38:18.1368673Z inflating: build/lib/torch/include/ATen/ops/linear_backward.h 2024-08-20T21:38:18.1369348Z inflating: build/lib/torch/include/ATen/ops/linear_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1369772Z inflating: build/lib/torch/include/ATen/ops/linear_backward_native.h 2024-08-20T21:38:18.1370127Z inflating: build/lib/torch/include/ATen/ops/linear_backward_ops.h 2024-08-20T21:38:18.1370673Z inflating: build/lib/torch/include/ATen/ops/linear_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1371228Z inflating: build/lib/torch/include/ATen/ops/linear_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1371578Z inflating: build/lib/torch/include/ATen/ops/linear_native.h 2024-08-20T21:38:18.1371845Z inflating: build/lib/torch/include/ATen/ops/linear_ops.h 2024-08-20T21:38:18.1372139Z inflating: build/lib/torch/include/ATen/ops/linspace.h 2024-08-20T21:38:18.1372697Z inflating: build/lib/torch/include/ATen/ops/linspace_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1373153Z inflating: build/lib/torch/include/ATen/ops/linspace_cpu_dispatch.h 2024-08-20T21:38:18.1373555Z inflating: build/lib/torch/include/ATen/ops/linspace_cuda_dispatch.h 2024-08-20T21:38:18.1373937Z inflating: build/lib/torch/include/ATen/ops/linspace_meta_dispatch.h 2024-08-20T21:38:18.1374282Z inflating: build/lib/torch/include/ATen/ops/linspace_native.h 2024-08-20T21:38:18.1374575Z inflating: build/lib/torch/include/ATen/ops/linspace_ops.h 2024-08-20T21:38:18.1374828Z inflating: build/lib/torch/include/ATen/ops/log.h 2024-08-20T21:38:18.1375076Z inflating: build/lib/torch/include/ATen/ops/log10.h 2024-08-20T21:38:18.1375752Z inflating: build/lib/torch/include/ATen/ops/log10_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1376107Z inflating: build/lib/torch/include/ATen/ops/log10_cpu_dispatch.h 2024-08-20T21:38:18.1376501Z inflating: build/lib/torch/include/ATen/ops/log10_cuda_dispatch.h 2024-08-20T21:38:18.1376786Z inflating: build/lib/torch/include/ATen/ops/log10_meta.h 2024-08-20T21:38:18.1377125Z inflating: build/lib/torch/include/ATen/ops/log10_meta_dispatch.h 2024-08-20T21:38:18.1377451Z inflating: build/lib/torch/include/ATen/ops/log10_native.h 2024-08-20T21:38:18.1377735Z inflating: build/lib/torch/include/ATen/ops/log10_ops.h 2024-08-20T21:38:18.1377947Z inflating: build/lib/torch/include/ATen/ops/log1p.h 2024-08-20T21:38:18.1378565Z inflating: build/lib/torch/include/ATen/ops/log1p_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1378926Z inflating: build/lib/torch/include/ATen/ops/log1p_cpu_dispatch.h 2024-08-20T21:38:18.1379287Z inflating: build/lib/torch/include/ATen/ops/log1p_cuda_dispatch.h 2024-08-20T21:38:18.1379545Z inflating: build/lib/torch/include/ATen/ops/log1p_meta.h 2024-08-20T21:38:18.1380002Z inflating: build/lib/torch/include/ATen/ops/log1p_meta_dispatch.h 2024-08-20T21:38:18.1380295Z inflating: build/lib/torch/include/ATen/ops/log1p_native.h 2024-08-20T21:38:18.1380596Z inflating: build/lib/torch/include/ATen/ops/log1p_ops.h 2024-08-20T21:38:18.1380826Z inflating: build/lib/torch/include/ATen/ops/log2.h 2024-08-20T21:38:18.1381488Z inflating: build/lib/torch/include/ATen/ops/log2_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1381848Z inflating: build/lib/torch/include/ATen/ops/log2_cpu_dispatch.h 2024-08-20T21:38:18.1382194Z inflating: build/lib/torch/include/ATen/ops/log2_cuda_dispatch.h 2024-08-20T21:38:18.1382491Z inflating: build/lib/torch/include/ATen/ops/log2_meta.h 2024-08-20T21:38:18.1382833Z inflating: build/lib/torch/include/ATen/ops/log2_meta_dispatch.h 2024-08-20T21:38:18.1383111Z inflating: build/lib/torch/include/ATen/ops/log2_native.h 2024-08-20T21:38:18.1383378Z inflating: build/lib/torch/include/ATen/ops/log2_ops.h 2024-08-20T21:38:18.1384031Z inflating: build/lib/torch/include/ATen/ops/log_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1384356Z inflating: build/lib/torch/include/ATen/ops/log_cpu_dispatch.h 2024-08-20T21:38:18.1384816Z inflating: build/lib/torch/include/ATen/ops/log_cuda_dispatch.h 2024-08-20T21:38:18.1385105Z inflating: build/lib/torch/include/ATen/ops/log_meta.h 2024-08-20T21:38:18.1385428Z inflating: build/lib/torch/include/ATen/ops/log_meta_dispatch.h 2024-08-20T21:38:18.1385727Z inflating: build/lib/torch/include/ATen/ops/log_native.h 2024-08-20T21:38:18.1385997Z inflating: build/lib/torch/include/ATen/ops/log_normal.h 2024-08-20T21:38:18.1386572Z inflating: build/lib/torch/include/ATen/ops/log_normal_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1386984Z inflating: build/lib/torch/include/ATen/ops/log_normal_cpu_dispatch.h 2024-08-20T21:38:18.1387381Z inflating: build/lib/torch/include/ATen/ops/log_normal_cuda_dispatch.h 2024-08-20T21:38:18.1387787Z inflating: build/lib/torch/include/ATen/ops/log_normal_meta_dispatch.h 2024-08-20T21:38:18.1388116Z inflating: build/lib/torch/include/ATen/ops/log_normal_native.h 2024-08-20T21:38:18.1388503Z inflating: build/lib/torch/include/ATen/ops/log_normal_ops.h 2024-08-20T21:38:18.1388804Z inflating: build/lib/torch/include/ATen/ops/log_ops.h 2024-08-20T21:38:18.1389093Z inflating: build/lib/torch/include/ATen/ops/log_sigmoid.h 2024-08-20T21:38:18.1389460Z inflating: build/lib/torch/include/ATen/ops/log_sigmoid_backward.h 2024-08-20T21:38:18.1389939Z inflating: build/lib/torch/include/ATen/ops/log_sigmoid_backward_cpu_dispatch.h 2024-08-20T21:38:18.1390406Z inflating: build/lib/torch/include/ATen/ops/log_sigmoid_backward_cuda_dispatch.h 2024-08-20T21:38:18.1390852Z inflating: build/lib/torch/include/ATen/ops/log_sigmoid_backward_native.h 2024-08-20T21:38:18.1391212Z inflating: build/lib/torch/include/ATen/ops/log_sigmoid_backward_ops.h 2024-08-20T21:38:18.1391825Z inflating: build/lib/torch/include/ATen/ops/log_sigmoid_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1392224Z inflating: build/lib/torch/include/ATen/ops/log_sigmoid_forward.h 2024-08-20T21:38:18.1392668Z inflating: build/lib/torch/include/ATen/ops/log_sigmoid_forward_cpu_dispatch.h 2024-08-20T21:38:18.1393163Z inflating: build/lib/torch/include/ATen/ops/log_sigmoid_forward_cuda_dispatch.h 2024-08-20T21:38:18.1393585Z inflating: build/lib/torch/include/ATen/ops/log_sigmoid_forward_native.h 2024-08-20T21:38:18.1393985Z inflating: build/lib/torch/include/ATen/ops/log_sigmoid_forward_ops.h 2024-08-20T21:38:18.1394352Z inflating: build/lib/torch/include/ATen/ops/log_sigmoid_native.h 2024-08-20T21:38:18.1394670Z inflating: build/lib/torch/include/ATen/ops/log_sigmoid_ops.h 2024-08-20T21:38:18.1394957Z inflating: build/lib/torch/include/ATen/ops/log_softmax.h 2024-08-20T21:38:18.1395521Z inflating: build/lib/torch/include/ATen/ops/log_softmax_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1396066Z inflating: build/lib/torch/include/ATen/ops/log_softmax_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1396409Z inflating: build/lib/torch/include/ATen/ops/log_softmax_native.h 2024-08-20T21:38:18.1396713Z inflating: build/lib/torch/include/ATen/ops/log_softmax_ops.h 2024-08-20T21:38:18.1397005Z inflating: build/lib/torch/include/ATen/ops/logaddexp.h 2024-08-20T21:38:18.1397238Z inflating: build/lib/torch/include/ATen/ops/logaddexp2.h 2024-08-20T21:38:18.1397915Z inflating: build/lib/torch/include/ATen/ops/logaddexp2_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1398286Z inflating: build/lib/torch/include/ATen/ops/logaddexp2_cpu_dispatch.h 2024-08-20T21:38:18.1398692Z inflating: build/lib/torch/include/ATen/ops/logaddexp2_cuda_dispatch.h 2024-08-20T21:38:18.1398998Z inflating: build/lib/torch/include/ATen/ops/logaddexp2_meta.h 2024-08-20T21:38:18.1399382Z inflating: build/lib/torch/include/ATen/ops/logaddexp2_meta_dispatch.h 2024-08-20T21:38:18.1399734Z inflating: build/lib/torch/include/ATen/ops/logaddexp2_native.h 2024-08-20T21:38:18.1400035Z inflating: build/lib/torch/include/ATen/ops/logaddexp2_ops.h 2024-08-20T21:38:18.1400772Z inflating: build/lib/torch/include/ATen/ops/logaddexp_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1401148Z inflating: build/lib/torch/include/ATen/ops/logaddexp_cpu_dispatch.h 2024-08-20T21:38:18.1401517Z inflating: build/lib/torch/include/ATen/ops/logaddexp_cuda_dispatch.h 2024-08-20T21:38:18.1401809Z inflating: build/lib/torch/include/ATen/ops/logaddexp_meta.h 2024-08-20T21:38:18.1402201Z inflating: build/lib/torch/include/ATen/ops/logaddexp_meta_dispatch.h 2024-08-20T21:38:18.1402514Z inflating: build/lib/torch/include/ATen/ops/logaddexp_native.h 2024-08-20T21:38:18.1402813Z inflating: build/lib/torch/include/ATen/ops/logaddexp_ops.h 2024-08-20T21:38:18.1403110Z inflating: build/lib/torch/include/ATen/ops/logcumsumexp.h 2024-08-20T21:38:18.1403687Z inflating: build/lib/torch/include/ATen/ops/logcumsumexp_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1404324Z inflating: build/lib/torch/include/ATen/ops/logcumsumexp_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1404668Z inflating: build/lib/torch/include/ATen/ops/logcumsumexp_native.h 2024-08-20T21:38:18.1405009Z inflating: build/lib/torch/include/ATen/ops/logcumsumexp_ops.h 2024-08-20T21:38:18.1405216Z inflating: build/lib/torch/include/ATen/ops/logdet.h 2024-08-20T21:38:18.1405758Z inflating: build/lib/torch/include/ATen/ops/logdet_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1406050Z inflating: build/lib/torch/include/ATen/ops/logdet_native.h 2024-08-20T21:38:18.1406276Z inflating: build/lib/torch/include/ATen/ops/logdet_ops.h 2024-08-20T21:38:18.1406572Z inflating: build/lib/torch/include/ATen/ops/logical_and.h 2024-08-20T21:38:18.1407104Z inflating: build/lib/torch/include/ATen/ops/logical_and_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1407514Z inflating: build/lib/torch/include/ATen/ops/logical_and_cpu_dispatch.h 2024-08-20T21:38:18.1407903Z inflating: build/lib/torch/include/ATen/ops/logical_and_cuda_dispatch.h 2024-08-20T21:38:18.1408244Z inflating: build/lib/torch/include/ATen/ops/logical_and_native.h 2024-08-20T21:38:18.1408531Z inflating: build/lib/torch/include/ATen/ops/logical_and_ops.h 2024-08-20T21:38:18.1408799Z inflating: build/lib/torch/include/ATen/ops/logical_not.h 2024-08-20T21:38:18.1409362Z inflating: build/lib/torch/include/ATen/ops/logical_not_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1409740Z inflating: build/lib/torch/include/ATen/ops/logical_not_cpu_dispatch.h 2024-08-20T21:38:18.1410113Z inflating: build/lib/torch/include/ATen/ops/logical_not_cuda_dispatch.h 2024-08-20T21:38:18.1410459Z inflating: build/lib/torch/include/ATen/ops/logical_not_native.h 2024-08-20T21:38:18.1410745Z inflating: build/lib/torch/include/ATen/ops/logical_not_ops.h 2024-08-20T21:38:18.1411029Z inflating: build/lib/torch/include/ATen/ops/logical_or.h 2024-08-20T21:38:18.1411561Z inflating: build/lib/torch/include/ATen/ops/logical_or_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1411963Z inflating: build/lib/torch/include/ATen/ops/logical_or_cpu_dispatch.h 2024-08-20T21:38:18.1412289Z inflating: build/lib/torch/include/ATen/ops/logical_or_cuda_dispatch.h 2024-08-20T21:38:18.1412632Z inflating: build/lib/torch/include/ATen/ops/logical_or_native.h 2024-08-20T21:38:18.1412923Z inflating: build/lib/torch/include/ATen/ops/logical_or_ops.h 2024-08-20T21:38:18.1413190Z inflating: build/lib/torch/include/ATen/ops/logical_xor.h 2024-08-20T21:38:18.1413749Z inflating: build/lib/torch/include/ATen/ops/logical_xor_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1414114Z inflating: build/lib/torch/include/ATen/ops/logical_xor_cpu_dispatch.h 2024-08-20T21:38:18.1414511Z inflating: build/lib/torch/include/ATen/ops/logical_xor_cuda_dispatch.h 2024-08-20T21:38:18.1414832Z inflating: build/lib/torch/include/ATen/ops/logical_xor_native.h 2024-08-20T21:38:18.1415151Z inflating: build/lib/torch/include/ATen/ops/logical_xor_ops.h 2024-08-20T21:38:18.1415473Z inflating: build/lib/torch/include/ATen/ops/logit.h 2024-08-20T21:38:18.1415757Z inflating: build/lib/torch/include/ATen/ops/logit_backward.h 2024-08-20T21:38:18.1416437Z inflating: build/lib/torch/include/ATen/ops/logit_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1416794Z inflating: build/lib/torch/include/ATen/ops/logit_backward_cpu_dispatch.h 2024-08-20T21:38:18.1417226Z inflating: build/lib/torch/include/ATen/ops/logit_backward_cuda_dispatch.h 2024-08-20T21:38:18.1417546Z inflating: build/lib/torch/include/ATen/ops/logit_backward_meta.h 2024-08-20T21:38:18.1417961Z inflating: build/lib/torch/include/ATen/ops/logit_backward_meta_dispatch.h 2024-08-20T21:38:18.1418299Z inflating: build/lib/torch/include/ATen/ops/logit_backward_native.h 2024-08-20T21:38:18.1418629Z inflating: build/lib/torch/include/ATen/ops/logit_backward_ops.h 2024-08-20T21:38:18.1419007Z inflating: build/lib/torch/include/ATen/ops/logit_cpu_dispatch.h 2024-08-20T21:38:18.1419361Z inflating: build/lib/torch/include/ATen/ops/logit_cuda_dispatch.h 2024-08-20T21:38:18.1419714Z inflating: build/lib/torch/include/ATen/ops/logit_meta_dispatch.h 2024-08-20T21:38:18.1420072Z inflating: build/lib/torch/include/ATen/ops/logit_native.h 2024-08-20T21:38:18.1420296Z inflating: build/lib/torch/include/ATen/ops/logit_ops.h 2024-08-20T21:38:18.1420578Z inflating: build/lib/torch/include/ATen/ops/logspace.h 2024-08-20T21:38:18.1421112Z inflating: build/lib/torch/include/ATen/ops/logspace_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1421456Z inflating: build/lib/torch/include/ATen/ops/logspace_cpu_dispatch.h 2024-08-20T21:38:18.1421838Z inflating: build/lib/torch/include/ATen/ops/logspace_cuda_dispatch.h 2024-08-20T21:38:18.1422217Z inflating: build/lib/torch/include/ATen/ops/logspace_meta_dispatch.h 2024-08-20T21:38:18.1422544Z inflating: build/lib/torch/include/ATen/ops/logspace_native.h 2024-08-20T21:38:18.1422814Z inflating: build/lib/torch/include/ATen/ops/logspace_ops.h 2024-08-20T21:38:18.1423073Z inflating: build/lib/torch/include/ATen/ops/logsumexp.h 2024-08-20T21:38:18.1423642Z inflating: build/lib/torch/include/ATen/ops/logsumexp_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1424311Z inflating: build/lib/torch/include/ATen/ops/logsumexp_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1424857Z inflating: build/lib/torch/include/ATen/ops/logsumexp_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1425181Z inflating: build/lib/torch/include/ATen/ops/logsumexp_native.h 2024-08-20T21:38:18.1425474Z inflating: build/lib/torch/include/ATen/ops/logsumexp_ops.h 2024-08-20T21:38:18.1425875Z inflating: build/lib/torch/include/ATen/ops/lshift.h 2024-08-20T21:38:18.1426442Z inflating: build/lib/torch/include/ATen/ops/lshift_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1426811Z inflating: build/lib/torch/include/ATen/ops/lshift_cpu_dispatch.h 2024-08-20T21:38:18.1427125Z inflating: build/lib/torch/include/ATen/ops/lshift_cuda_dispatch.h 2024-08-20T21:38:18.1427475Z inflating: build/lib/torch/include/ATen/ops/lshift_meta_dispatch.h 2024-08-20T21:38:18.1427776Z inflating: build/lib/torch/include/ATen/ops/lshift_native.h 2024-08-20T21:38:18.1428065Z inflating: build/lib/torch/include/ATen/ops/lshift_ops.h 2024-08-20T21:38:18.1428260Z inflating: build/lib/torch/include/ATen/ops/lstm.h 2024-08-20T21:38:18.1428516Z inflating: build/lib/torch/include/ATen/ops/lstm_cell.h 2024-08-20T21:38:18.1429079Z inflating: build/lib/torch/include/ATen/ops/lstm_cell_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1429384Z inflating: build/lib/torch/include/ATen/ops/lstm_cell_native.h 2024-08-20T21:38:18.1429683Z inflating: build/lib/torch/include/ATen/ops/lstm_cell_ops.h 2024-08-20T21:38:18.1430209Z inflating: build/lib/torch/include/ATen/ops/lstm_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1430652Z inflating: build/lib/torch/include/ATen/ops/lstm_mps_backward.h 2024-08-20T21:38:18.1431239Z inflating: build/lib/torch/include/ATen/ops/lstm_mps_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1431631Z inflating: build/lib/torch/include/ATen/ops/lstm_mps_backward_native.h 2024-08-20T21:38:18.1431967Z inflating: build/lib/torch/include/ATen/ops/lstm_mps_backward_ops.h 2024-08-20T21:38:18.1432249Z inflating: build/lib/torch/include/ATen/ops/lstm_native.h 2024-08-20T21:38:18.1432502Z inflating: build/lib/torch/include/ATen/ops/lstm_ops.h 2024-08-20T21:38:18.1432727Z inflating: build/lib/torch/include/ATen/ops/lt.h 2024-08-20T21:38:18.1433310Z inflating: build/lib/torch/include/ATen/ops/lt_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1433627Z inflating: build/lib/torch/include/ATen/ops/lt_cpu_dispatch.h 2024-08-20T21:38:18.1434050Z inflating: build/lib/torch/include/ATen/ops/lt_cuda_dispatch.h 2024-08-20T21:38:18.1434303Z inflating: build/lib/torch/include/ATen/ops/lt_meta.h 2024-08-20T21:38:18.1434604Z inflating: build/lib/torch/include/ATen/ops/lt_meta_dispatch.h 2024-08-20T21:38:18.1434875Z inflating: build/lib/torch/include/ATen/ops/lt_native.h 2024-08-20T21:38:18.1435134Z inflating: build/lib/torch/include/ATen/ops/lt_ops.h 2024-08-20T21:38:18.1435384Z inflating: build/lib/torch/include/ATen/ops/lu_solve.h 2024-08-20T21:38:18.1435892Z inflating: build/lib/torch/include/ATen/ops/lu_solve_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1436208Z inflating: build/lib/torch/include/ATen/ops/lu_solve_native.h 2024-08-20T21:38:18.1436478Z inflating: build/lib/torch/include/ATen/ops/lu_solve_ops.h 2024-08-20T21:38:18.1436754Z inflating: build/lib/torch/include/ATen/ops/lu_unpack.h 2024-08-20T21:38:18.1437388Z inflating: build/lib/torch/include/ATen/ops/lu_unpack_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1437764Z inflating: build/lib/torch/include/ATen/ops/lu_unpack_cpu_dispatch.h 2024-08-20T21:38:18.1438136Z inflating: build/lib/torch/include/ATen/ops/lu_unpack_cuda_dispatch.h 2024-08-20T21:38:18.1438426Z inflating: build/lib/torch/include/ATen/ops/lu_unpack_meta.h 2024-08-20T21:38:18.1438790Z inflating: build/lib/torch/include/ATen/ops/lu_unpack_meta_dispatch.h 2024-08-20T21:38:18.1439089Z inflating: build/lib/torch/include/ATen/ops/lu_unpack_native.h 2024-08-20T21:38:18.1439385Z inflating: build/lib/torch/include/ATen/ops/lu_unpack_ops.h 2024-08-20T21:38:18.1439635Z inflating: build/lib/torch/include/ATen/ops/mH.h 2024-08-20T21:38:18.1440119Z inflating: build/lib/torch/include/ATen/ops/mH_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1440395Z inflating: build/lib/torch/include/ATen/ops/mH_native.h 2024-08-20T21:38:18.1440644Z inflating: build/lib/torch/include/ATen/ops/mH_ops.h 2024-08-20T21:38:18.1440848Z inflating: build/lib/torch/include/ATen/ops/mT.h 2024-08-20T21:38:18.1441345Z inflating: build/lib/torch/include/ATen/ops/mT_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1441601Z inflating: build/lib/torch/include/ATen/ops/mT_native.h 2024-08-20T21:38:18.1441924Z inflating: build/lib/torch/include/ATen/ops/margin_ranking_loss.h 2024-08-20T21:38:18.1442566Z inflating: build/lib/torch/include/ATen/ops/margin_ranking_loss_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1442938Z inflating: build/lib/torch/include/ATen/ops/margin_ranking_loss_native.h 2024-08-20T21:38:18.1443322Z inflating: build/lib/torch/include/ATen/ops/margin_ranking_loss_ops.h 2024-08-20T21:38:18.1443572Z inflating: build/lib/torch/include/ATen/ops/masked_fill.h 2024-08-20T21:38:18.1444146Z inflating: build/lib/torch/include/ATen/ops/masked_fill_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1444558Z inflating: build/lib/torch/include/ATen/ops/masked_fill_cpu_dispatch.h 2024-08-20T21:38:18.1444930Z inflating: build/lib/torch/include/ATen/ops/masked_fill_cuda_dispatch.h 2024-08-20T21:38:18.1445371Z inflating: build/lib/torch/include/ATen/ops/masked_fill_meta_dispatch.h 2024-08-20T21:38:18.1445751Z inflating: build/lib/torch/include/ATen/ops/masked_fill_native.h 2024-08-20T21:38:18.1446048Z inflating: build/lib/torch/include/ATen/ops/masked_fill_ops.h 2024-08-20T21:38:18.1446342Z inflating: build/lib/torch/include/ATen/ops/masked_scatter.h 2024-08-20T21:38:18.1446709Z inflating: build/lib/torch/include/ATen/ops/masked_scatter_backward.h 2024-08-20T21:38:18.1447371Z inflating: build/lib/torch/include/ATen/ops/masked_scatter_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1447783Z inflating: build/lib/torch/include/ATen/ops/masked_scatter_backward_native.h 2024-08-20T21:38:18.1448189Z inflating: build/lib/torch/include/ATen/ops/masked_scatter_backward_ops.h 2024-08-20T21:38:18.1448761Z inflating: build/lib/torch/include/ATen/ops/masked_scatter_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1449236Z inflating: build/lib/torch/include/ATen/ops/masked_scatter_cpu_dispatch.h 2024-08-20T21:38:18.1449661Z inflating: build/lib/torch/include/ATen/ops/masked_scatter_cuda_dispatch.h 2024-08-20T21:38:18.1450044Z inflating: build/lib/torch/include/ATen/ops/masked_scatter_meta_dispatch.h 2024-08-20T21:38:18.1450401Z inflating: build/lib/torch/include/ATen/ops/masked_scatter_native.h 2024-08-20T21:38:18.1450756Z inflating: build/lib/torch/include/ATen/ops/masked_scatter_ops.h 2024-08-20T21:38:18.1451056Z inflating: build/lib/torch/include/ATen/ops/masked_select.h 2024-08-20T21:38:18.1451417Z inflating: build/lib/torch/include/ATen/ops/masked_select_backward.h 2024-08-20T21:38:18.1452070Z inflating: build/lib/torch/include/ATen/ops/masked_select_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1452472Z inflating: build/lib/torch/include/ATen/ops/masked_select_backward_native.h 2024-08-20T21:38:18.1452882Z inflating: build/lib/torch/include/ATen/ops/masked_select_backward_ops.h 2024-08-20T21:38:18.1453266Z inflating: build/lib/torch/include/ATen/ops/masked_select_cpu_dispatch.h 2024-08-20T21:38:18.1453659Z inflating: build/lib/torch/include/ATen/ops/masked_select_cuda_dispatch.h 2024-08-20T21:38:18.1453956Z inflating: build/lib/torch/include/ATen/ops/masked_select_native.h 2024-08-20T21:38:18.1454311Z inflating: build/lib/torch/include/ATen/ops/masked_select_ops.h 2024-08-20T21:38:18.1454550Z inflating: build/lib/torch/include/ATen/ops/matmul.h 2024-08-20T21:38:18.1454881Z inflating: build/lib/torch/include/ATen/ops/matmul_backward.h 2024-08-20T21:38:18.1455465Z inflating: build/lib/torch/include/ATen/ops/matmul_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1455839Z inflating: build/lib/torch/include/ATen/ops/matmul_backward_native.h 2024-08-20T21:38:18.1456159Z inflating: build/lib/torch/include/ATen/ops/matmul_backward_ops.h 2024-08-20T21:38:18.1456685Z inflating: build/lib/torch/include/ATen/ops/matmul_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1456996Z inflating: build/lib/torch/include/ATen/ops/matmul_native.h 2024-08-20T21:38:18.1457260Z inflating: build/lib/torch/include/ATen/ops/matmul_ops.h 2024-08-20T21:38:18.1457521Z inflating: build/lib/torch/include/ATen/ops/matrix_H.h 2024-08-20T21:38:18.1468288Z inflating: build/lib/torch/include/ATen/ops/matrix_H_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1468898Z inflating: build/lib/torch/include/ATen/ops/matrix_H_native.h 2024-08-20T21:38:18.1469338Z inflating: build/lib/torch/include/ATen/ops/matrix_H_ops.h 2024-08-20T21:38:18.1469661Z inflating: build/lib/torch/include/ATen/ops/matrix_exp.h 2024-08-20T21:38:18.1469994Z inflating: build/lib/torch/include/ATen/ops/matrix_exp_backward.h 2024-08-20T21:38:18.1470835Z inflating: build/lib/torch/include/ATen/ops/matrix_exp_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1471530Z inflating: build/lib/torch/include/ATen/ops/matrix_exp_backward_native.h 2024-08-20T21:38:18.1472147Z inflating: build/lib/torch/include/ATen/ops/matrix_exp_backward_ops.h 2024-08-20T21:38:18.1473055Z inflating: build/lib/torch/include/ATen/ops/matrix_exp_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1473337Z inflating: build/lib/torch/include/ATen/ops/matrix_exp_native.h 2024-08-20T21:38:18.1473593Z inflating: build/lib/torch/include/ATen/ops/matrix_exp_ops.h 2024-08-20T21:38:18.1473851Z inflating: build/lib/torch/include/ATen/ops/matrix_power.h 2024-08-20T21:38:18.1474334Z inflating: build/lib/torch/include/ATen/ops/matrix_power_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1474620Z inflating: build/lib/torch/include/ATen/ops/matrix_power_native.h 2024-08-20T21:38:18.1474905Z inflating: build/lib/torch/include/ATen/ops/matrix_power_ops.h 2024-08-20T21:38:18.1475093Z inflating: build/lib/torch/include/ATen/ops/max.h 2024-08-20T21:38:18.1475688Z inflating: build/lib/torch/include/ATen/ops/max_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1476114Z inflating: build/lib/torch/include/ATen/ops/max_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1476382Z inflating: build/lib/torch/include/ATen/ops/max_cpu_dispatch.h 2024-08-20T21:38:18.1476668Z inflating: build/lib/torch/include/ATen/ops/max_cuda_dispatch.h 2024-08-20T21:38:18.1476910Z inflating: build/lib/torch/include/ATen/ops/max_meta.h 2024-08-20T21:38:18.1477222Z inflating: build/lib/torch/include/ATen/ops/max_meta_dispatch.h 2024-08-20T21:38:18.1477458Z inflating: build/lib/torch/include/ATen/ops/max_native.h 2024-08-20T21:38:18.1477668Z inflating: build/lib/torch/include/ATen/ops/max_ops.h 2024-08-20T21:38:18.1477894Z inflating: build/lib/torch/include/ATen/ops/max_pool1d.h 2024-08-20T21:38:18.1478370Z inflating: build/lib/torch/include/ATen/ops/max_pool1d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1478654Z inflating: build/lib/torch/include/ATen/ops/max_pool1d_native.h 2024-08-20T21:38:18.1478925Z inflating: build/lib/torch/include/ATen/ops/max_pool1d_ops.h 2024-08-20T21:38:18.1479242Z inflating: build/lib/torch/include/ATen/ops/max_pool1d_with_indices.h 2024-08-20T21:38:18.1479783Z inflating: build/lib/torch/include/ATen/ops/max_pool1d_with_indices_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1480151Z inflating: build/lib/torch/include/ATen/ops/max_pool1d_with_indices_native.h 2024-08-20T21:38:18.1480488Z inflating: build/lib/torch/include/ATen/ops/max_pool1d_with_indices_ops.h 2024-08-20T21:38:18.1480714Z inflating: build/lib/torch/include/ATen/ops/max_pool2d.h 2024-08-20T21:38:18.1481013Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_backward.h 2024-08-20T21:38:18.1481525Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1481876Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_backward_native.h 2024-08-20T21:38:18.1482193Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_backward_ops.h 2024-08-20T21:38:18.1482653Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1482938Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_native.h 2024-08-20T21:38:18.1483192Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_ops.h 2024-08-20T21:38:18.1483504Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_with_indices.h 2024-08-20T21:38:18.1483885Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_with_indices_backward.h 2024-08-20T21:38:18.1484572Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_with_indices_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1485018Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_with_indices_backward_cpu_dispatch.h 2024-08-20T21:38:18.1485481Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_with_indices_backward_cuda_dispatch.h 2024-08-20T21:38:18.1485942Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_with_indices_backward_meta.h 2024-08-20T21:38:18.1486405Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_with_indices_backward_meta_dispatch.h 2024-08-20T21:38:18.1486817Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_with_indices_backward_native.h 2024-08-20T21:38:18.1487208Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_with_indices_backward_ops.h 2024-08-20T21:38:18.1487855Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_with_indices_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1488250Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_with_indices_cpu_dispatch.h 2024-08-20T21:38:18.1488665Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_with_indices_cuda_dispatch.h 2024-08-20T21:38:18.1489008Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_with_indices_meta.h 2024-08-20T21:38:18.1489460Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_with_indices_meta_dispatch.h 2024-08-20T21:38:18.1489837Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_with_indices_native.h 2024-08-20T21:38:18.1490171Z inflating: build/lib/torch/include/ATen/ops/max_pool2d_with_indices_ops.h 2024-08-20T21:38:18.1490399Z inflating: build/lib/torch/include/ATen/ops/max_pool3d.h 2024-08-20T21:38:18.1490872Z inflating: build/lib/torch/include/ATen/ops/max_pool3d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1491146Z inflating: build/lib/torch/include/ATen/ops/max_pool3d_native.h 2024-08-20T21:38:18.1491398Z inflating: build/lib/torch/include/ATen/ops/max_pool3d_ops.h 2024-08-20T21:38:18.1491723Z inflating: build/lib/torch/include/ATen/ops/max_pool3d_with_indices.h 2024-08-20T21:38:18.1492092Z inflating: build/lib/torch/include/ATen/ops/max_pool3d_with_indices_backward.h 2024-08-20T21:38:18.1492554Z inflating: build/lib/torch/include/ATen/ops/max_pool3d_with_indices_backward_cpu_dispatch.h 2024-08-20T21:38:18.1493012Z inflating: build/lib/torch/include/ATen/ops/max_pool3d_with_indices_backward_cuda_dispatch.h 2024-08-20T21:38:18.1493422Z inflating: build/lib/torch/include/ATen/ops/max_pool3d_with_indices_backward_native.h 2024-08-20T21:38:18.1493823Z inflating: build/lib/torch/include/ATen/ops/max_pool3d_with_indices_backward_ops.h 2024-08-20T21:38:18.1494216Z inflating: build/lib/torch/include/ATen/ops/max_pool3d_with_indices_cpu_dispatch.h 2024-08-20T21:38:18.1494606Z inflating: build/lib/torch/include/ATen/ops/max_pool3d_with_indices_cuda_dispatch.h 2024-08-20T21:38:18.1494974Z inflating: build/lib/torch/include/ATen/ops/max_pool3d_with_indices_native.h 2024-08-20T21:38:18.1495310Z inflating: build/lib/torch/include/ATen/ops/max_pool3d_with_indices_ops.h 2024-08-20T21:38:18.1495562Z inflating: build/lib/torch/include/ATen/ops/max_unpool2d.h 2024-08-20T21:38:18.1495899Z inflating: build/lib/torch/include/ATen/ops/max_unpool2d_cpu_dispatch.h 2024-08-20T21:38:18.1496238Z inflating: build/lib/torch/include/ATen/ops/max_unpool2d_cuda_dispatch.h 2024-08-20T21:38:18.1496533Z inflating: build/lib/torch/include/ATen/ops/max_unpool2d_native.h 2024-08-20T21:38:18.1496803Z inflating: build/lib/torch/include/ATen/ops/max_unpool2d_ops.h 2024-08-20T21:38:18.1497043Z inflating: build/lib/torch/include/ATen/ops/max_unpool3d.h 2024-08-20T21:38:18.1497387Z inflating: build/lib/torch/include/ATen/ops/max_unpool3d_cpu_dispatch.h 2024-08-20T21:38:18.1497722Z inflating: build/lib/torch/include/ATen/ops/max_unpool3d_cuda_dispatch.h 2024-08-20T21:38:18.1498015Z inflating: build/lib/torch/include/ATen/ops/max_unpool3d_native.h 2024-08-20T21:38:18.1498280Z inflating: build/lib/torch/include/ATen/ops/max_unpool3d_ops.h 2024-08-20T21:38:18.1498492Z inflating: build/lib/torch/include/ATen/ops/maximum.h 2024-08-20T21:38:18.1499052Z inflating: build/lib/torch/include/ATen/ops/maximum_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1499407Z inflating: build/lib/torch/include/ATen/ops/maximum_cpu_dispatch.h 2024-08-20T21:38:18.1499709Z inflating: build/lib/torch/include/ATen/ops/maximum_cuda_dispatch.h 2024-08-20T21:38:18.1500048Z inflating: build/lib/torch/include/ATen/ops/maximum_meta.h 2024-08-20T21:38:18.1500349Z inflating: build/lib/torch/include/ATen/ops/maximum_meta_dispatch.h 2024-08-20T21:38:18.1500606Z inflating: build/lib/torch/include/ATen/ops/maximum_native.h 2024-08-20T21:38:18.1500850Z inflating: build/lib/torch/include/ATen/ops/maximum_ops.h 2024-08-20T21:38:18.1501045Z inflating: build/lib/torch/include/ATen/ops/mean.h 2024-08-20T21:38:18.1501487Z inflating: build/lib/torch/include/ATen/ops/mean_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1502018Z inflating: build/lib/torch/include/ATen/ops/mean_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1502573Z inflating: build/lib/torch/include/ATen/ops/mean_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1502891Z inflating: build/lib/torch/include/ATen/ops/mean_cpu_dispatch.h 2024-08-20T21:38:18.1503171Z inflating: build/lib/torch/include/ATen/ops/mean_cuda_dispatch.h 2024-08-20T21:38:18.1503393Z inflating: build/lib/torch/include/ATen/ops/mean_meta.h 2024-08-20T21:38:18.1503685Z inflating: build/lib/torch/include/ATen/ops/mean_meta_dispatch.h 2024-08-20T21:38:18.1503915Z inflating: build/lib/torch/include/ATen/ops/mean_native.h 2024-08-20T21:38:18.1504131Z inflating: build/lib/torch/include/ATen/ops/mean_ops.h 2024-08-20T21:38:18.1504352Z inflating: build/lib/torch/include/ATen/ops/median.h 2024-08-20T21:38:18.1504796Z inflating: build/lib/torch/include/ATen/ops/median_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1505251Z inflating: build/lib/torch/include/ATen/ops/median_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1505537Z inflating: build/lib/torch/include/ATen/ops/median_cpu_dispatch.h 2024-08-20T21:38:18.1505838Z inflating: build/lib/torch/include/ATen/ops/median_cuda_dispatch.h 2024-08-20T21:38:18.1506106Z inflating: build/lib/torch/include/ATen/ops/median_native.h 2024-08-20T21:38:18.1506333Z inflating: build/lib/torch/include/ATen/ops/median_ops.h 2024-08-20T21:38:18.1506549Z inflating: build/lib/torch/include/ATen/ops/meshgrid.h 2024-08-20T21:38:18.1507023Z inflating: build/lib/torch/include/ATen/ops/meshgrid_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1507284Z inflating: build/lib/torch/include/ATen/ops/meshgrid_native.h 2024-08-20T21:38:18.1507538Z inflating: build/lib/torch/include/ATen/ops/meshgrid_ops.h 2024-08-20T21:38:18.1507725Z inflating: build/lib/torch/include/ATen/ops/min.h 2024-08-20T21:38:18.1508246Z inflating: build/lib/torch/include/ATen/ops/min_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1508676Z inflating: build/lib/torch/include/ATen/ops/min_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1508952Z inflating: build/lib/torch/include/ATen/ops/min_cpu_dispatch.h 2024-08-20T21:38:18.1509232Z inflating: build/lib/torch/include/ATen/ops/min_cuda_dispatch.h 2024-08-20T21:38:18.1509460Z inflating: build/lib/torch/include/ATen/ops/min_meta.h 2024-08-20T21:38:18.1509733Z inflating: build/lib/torch/include/ATen/ops/min_meta_dispatch.h 2024-08-20T21:38:18.1509959Z inflating: build/lib/torch/include/ATen/ops/min_native.h 2024-08-20T21:38:18.1510180Z inflating: build/lib/torch/include/ATen/ops/min_ops.h 2024-08-20T21:38:18.1510389Z inflating: build/lib/torch/include/ATen/ops/minimum.h 2024-08-20T21:38:18.1510956Z inflating: build/lib/torch/include/ATen/ops/minimum_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1511249Z inflating: build/lib/torch/include/ATen/ops/minimum_cpu_dispatch.h 2024-08-20T21:38:18.1511553Z inflating: build/lib/torch/include/ATen/ops/minimum_cuda_dispatch.h 2024-08-20T21:38:18.1511810Z inflating: build/lib/torch/include/ATen/ops/minimum_meta.h 2024-08-20T21:38:18.1512157Z inflating: build/lib/torch/include/ATen/ops/minimum_meta_dispatch.h 2024-08-20T21:38:18.1512416Z inflating: build/lib/torch/include/ATen/ops/minimum_native.h 2024-08-20T21:38:18.1512658Z inflating: build/lib/torch/include/ATen/ops/minimum_ops.h 2024-08-20T21:38:18.1512934Z inflating: build/lib/torch/include/ATen/ops/miopen_batch_norm.h 2024-08-20T21:38:18.1513270Z inflating: build/lib/torch/include/ATen/ops/miopen_batch_norm_backward.h 2024-08-20T21:38:18.1513908Z inflating: build/lib/torch/include/ATen/ops/miopen_batch_norm_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1514330Z inflating: build/lib/torch/include/ATen/ops/miopen_batch_norm_backward_cuda_dispatch.h 2024-08-20T21:38:18.1514722Z inflating: build/lib/torch/include/ATen/ops/miopen_batch_norm_backward_native.h 2024-08-20T21:38:18.1515081Z inflating: build/lib/torch/include/ATen/ops/miopen_batch_norm_backward_ops.h 2024-08-20T21:38:18.1515648Z inflating: build/lib/torch/include/ATen/ops/miopen_batch_norm_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1516030Z inflating: build/lib/torch/include/ATen/ops/miopen_batch_norm_cuda_dispatch.h 2024-08-20T21:38:18.1516356Z inflating: build/lib/torch/include/ATen/ops/miopen_batch_norm_native.h 2024-08-20T21:38:18.1516658Z inflating: build/lib/torch/include/ATen/ops/miopen_batch_norm_ops.h 2024-08-20T21:38:18.1516956Z inflating: build/lib/torch/include/ATen/ops/miopen_convolution.h 2024-08-20T21:38:18.1517297Z inflating: build/lib/torch/include/ATen/ops/miopen_convolution_add_relu.h 2024-08-20T21:38:18.1517736Z inflating: build/lib/torch/include/ATen/ops/miopen_convolution_add_relu_cuda_dispatch.h 2024-08-20T21:38:18.1518121Z inflating: build/lib/torch/include/ATen/ops/miopen_convolution_add_relu_native.h 2024-08-20T21:38:18.1518487Z inflating: build/lib/torch/include/ATen/ops/miopen_convolution_add_relu_ops.h 2024-08-20T21:38:18.1519019Z inflating: build/lib/torch/include/ATen/ops/miopen_convolution_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1519402Z inflating: build/lib/torch/include/ATen/ops/miopen_convolution_cuda_dispatch.h 2024-08-20T21:38:18.1519734Z inflating: build/lib/torch/include/ATen/ops/miopen_convolution_native.h 2024-08-20T21:38:18.1520055Z inflating: build/lib/torch/include/ATen/ops/miopen_convolution_ops.h 2024-08-20T21:38:18.1520374Z inflating: build/lib/torch/include/ATen/ops/miopen_convolution_relu.h 2024-08-20T21:38:18.1520784Z inflating: build/lib/torch/include/ATen/ops/miopen_convolution_relu_cuda_dispatch.h 2024-08-20T21:38:18.1521143Z inflating: build/lib/torch/include/ATen/ops/miopen_convolution_relu_native.h 2024-08-20T21:38:18.1521482Z inflating: build/lib/torch/include/ATen/ops/miopen_convolution_relu_ops.h 2024-08-20T21:38:18.1521840Z inflating: build/lib/torch/include/ATen/ops/miopen_convolution_transpose.h 2024-08-20T21:38:18.1522424Z inflating: build/lib/torch/include/ATen/ops/miopen_convolution_transpose_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1522867Z inflating: build/lib/torch/include/ATen/ops/miopen_convolution_transpose_cuda_dispatch.h 2024-08-20T21:38:18.1523273Z inflating: build/lib/torch/include/ATen/ops/miopen_convolution_transpose_native.h 2024-08-20T21:38:18.1523654Z inflating: build/lib/torch/include/ATen/ops/miopen_convolution_transpose_ops.h 2024-08-20T21:38:18.1524018Z inflating: build/lib/torch/include/ATen/ops/miopen_depthwise_convolution.h 2024-08-20T21:38:18.1524679Z inflating: build/lib/torch/include/ATen/ops/miopen_depthwise_convolution_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1525121Z inflating: build/lib/torch/include/ATen/ops/miopen_depthwise_convolution_cuda_dispatch.h 2024-08-20T21:38:18.1525529Z inflating: build/lib/torch/include/ATen/ops/miopen_depthwise_convolution_native.h 2024-08-20T21:38:18.1526088Z inflating: build/lib/torch/include/ATen/ops/miopen_depthwise_convolution_ops.h 2024-08-20T21:38:18.1526321Z inflating: build/lib/torch/include/ATen/ops/miopen_rnn.h 2024-08-20T21:38:18.1526753Z inflating: build/lib/torch/include/ATen/ops/miopen_rnn_backward.h 2024-08-20T21:38:18.1527280Z inflating: build/lib/torch/include/ATen/ops/miopen_rnn_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1527668Z inflating: build/lib/torch/include/ATen/ops/miopen_rnn_backward_cuda_dispatch.h 2024-08-20T21:38:18.1528001Z inflating: build/lib/torch/include/ATen/ops/miopen_rnn_backward_native.h 2024-08-20T21:38:18.1528319Z inflating: build/lib/torch/include/ATen/ops/miopen_rnn_backward_ops.h 2024-08-20T21:38:18.1528802Z inflating: build/lib/torch/include/ATen/ops/miopen_rnn_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1529130Z inflating: build/lib/torch/include/ATen/ops/miopen_rnn_cuda_dispatch.h 2024-08-20T21:38:18.1529409Z inflating: build/lib/torch/include/ATen/ops/miopen_rnn_native.h 2024-08-20T21:38:18.1529753Z inflating: build/lib/torch/include/ATen/ops/miopen_rnn_ops.h 2024-08-20T21:38:18.1529953Z inflating: build/lib/torch/include/ATen/ops/mish.h 2024-08-20T21:38:18.1530209Z inflating: build/lib/torch/include/ATen/ops/mish_backward.h 2024-08-20T21:38:18.1530711Z inflating: build/lib/torch/include/ATen/ops/mish_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1531048Z inflating: build/lib/torch/include/ATen/ops/mish_backward_cpu_dispatch.h 2024-08-20T21:38:18.1531406Z inflating: build/lib/torch/include/ATen/ops/mish_backward_cuda_dispatch.h 2024-08-20T21:38:18.1531700Z inflating: build/lib/torch/include/ATen/ops/mish_backward_native.h 2024-08-20T21:38:18.1531973Z inflating: build/lib/torch/include/ATen/ops/mish_backward_ops.h 2024-08-20T21:38:18.1532512Z inflating: build/lib/torch/include/ATen/ops/mish_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1532790Z inflating: build/lib/torch/include/ATen/ops/mish_cpu_dispatch.h 2024-08-20T21:38:18.1533073Z inflating: build/lib/torch/include/ATen/ops/mish_cuda_dispatch.h 2024-08-20T21:38:18.1533315Z inflating: build/lib/torch/include/ATen/ops/mish_meta.h 2024-08-20T21:38:18.1533594Z inflating: build/lib/torch/include/ATen/ops/mish_meta_dispatch.h 2024-08-20T21:38:18.1533833Z inflating: build/lib/torch/include/ATen/ops/mish_native.h 2024-08-20T21:38:18.1534046Z inflating: build/lib/torch/include/ATen/ops/mish_ops.h 2024-08-20T21:38:18.1534380Z inflating: build/lib/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d.h 2024-08-20T21:38:18.1534784Z inflating: build/lib/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward.h 2024-08-20T21:38:18.1535397Z inflating: build/lib/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1535833Z inflating: build/lib/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward_native.h 2024-08-20T21:38:18.1536259Z inflating: build/lib/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward_ops.h 2024-08-20T21:38:18.1536650Z inflating: build/lib/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_native.h 2024-08-20T21:38:18.1537012Z inflating: build/lib/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_ops.h 2024-08-20T21:38:18.1537311Z inflating: build/lib/torch/include/ATen/ops/mkldnn_convolution.h 2024-08-20T21:38:18.1537828Z inflating: build/lib/torch/include/ATen/ops/mkldnn_convolution_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1538168Z inflating: build/lib/torch/include/ATen/ops/mkldnn_convolution_native.h 2024-08-20T21:38:18.1538478Z inflating: build/lib/torch/include/ATen/ops/mkldnn_convolution_ops.h 2024-08-20T21:38:18.1538729Z inflating: build/lib/torch/include/ATen/ops/mkldnn_linear.h 2024-08-20T21:38:18.1539050Z inflating: build/lib/torch/include/ATen/ops/mkldnn_linear_backward.h 2024-08-20T21:38:18.1539591Z inflating: build/lib/torch/include/ATen/ops/mkldnn_linear_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1540010Z inflating: build/lib/torch/include/ATen/ops/mkldnn_linear_backward_input.h 2024-08-20T21:38:18.1540658Z inflating: build/lib/torch/include/ATen/ops/mkldnn_linear_backward_input_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1541055Z inflating: build/lib/torch/include/ATen/ops/mkldnn_linear_backward_input_native.h 2024-08-20T21:38:18.1541511Z inflating: build/lib/torch/include/ATen/ops/mkldnn_linear_backward_input_ops.h 2024-08-20T21:38:18.1541866Z inflating: build/lib/torch/include/ATen/ops/mkldnn_linear_backward_native.h 2024-08-20T21:38:18.1542202Z inflating: build/lib/torch/include/ATen/ops/mkldnn_linear_backward_ops.h 2024-08-20T21:38:18.1542580Z inflating: build/lib/torch/include/ATen/ops/mkldnn_linear_backward_weights.h 2024-08-20T21:38:18.1543172Z inflating: build/lib/torch/include/ATen/ops/mkldnn_linear_backward_weights_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1543572Z inflating: build/lib/torch/include/ATen/ops/mkldnn_linear_backward_weights_native.h 2024-08-20T21:38:18.1544042Z inflating: build/lib/torch/include/ATen/ops/mkldnn_linear_backward_weights_ops.h 2024-08-20T21:38:18.1544528Z inflating: build/lib/torch/include/ATen/ops/mkldnn_linear_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1544834Z inflating: build/lib/torch/include/ATen/ops/mkldnn_linear_native.h 2024-08-20T21:38:18.1545110Z inflating: build/lib/torch/include/ATen/ops/mkldnn_linear_ops.h 2024-08-20T21:38:18.1545383Z inflating: build/lib/torch/include/ATen/ops/mkldnn_max_pool2d.h 2024-08-20T21:38:18.1545731Z inflating: build/lib/torch/include/ATen/ops/mkldnn_max_pool2d_backward.h 2024-08-20T21:38:18.1546344Z inflating: build/lib/torch/include/ATen/ops/mkldnn_max_pool2d_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1546720Z inflating: build/lib/torch/include/ATen/ops/mkldnn_max_pool2d_backward_native.h 2024-08-20T21:38:18.1547089Z inflating: build/lib/torch/include/ATen/ops/mkldnn_max_pool2d_backward_ops.h 2024-08-20T21:38:18.1547605Z inflating: build/lib/torch/include/ATen/ops/mkldnn_max_pool2d_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1547937Z inflating: build/lib/torch/include/ATen/ops/mkldnn_max_pool2d_native.h 2024-08-20T21:38:18.1548236Z inflating: build/lib/torch/include/ATen/ops/mkldnn_max_pool2d_ops.h 2024-08-20T21:38:18.1548513Z inflating: build/lib/torch/include/ATen/ops/mkldnn_max_pool3d.h 2024-08-20T21:38:18.1548861Z inflating: build/lib/torch/include/ATen/ops/mkldnn_max_pool3d_backward.h 2024-08-20T21:38:18.1549427Z inflating: build/lib/torch/include/ATen/ops/mkldnn_max_pool3d_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1549808Z inflating: build/lib/torch/include/ATen/ops/mkldnn_max_pool3d_backward_native.h 2024-08-20T21:38:18.1550183Z inflating: build/lib/torch/include/ATen/ops/mkldnn_max_pool3d_backward_ops.h 2024-08-20T21:38:18.1550742Z inflating: build/lib/torch/include/ATen/ops/mkldnn_max_pool3d_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1551092Z inflating: build/lib/torch/include/ATen/ops/mkldnn_max_pool3d_native.h 2024-08-20T21:38:18.1551393Z inflating: build/lib/torch/include/ATen/ops/mkldnn_max_pool3d_ops.h 2024-08-20T21:38:18.1551746Z inflating: build/lib/torch/include/ATen/ops/mkldnn_reorder_conv2d_weight.h 2024-08-20T21:38:18.1552334Z inflating: build/lib/torch/include/ATen/ops/mkldnn_reorder_conv2d_weight_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1552729Z inflating: build/lib/torch/include/ATen/ops/mkldnn_reorder_conv2d_weight_native.h 2024-08-20T21:38:18.1553106Z inflating: build/lib/torch/include/ATen/ops/mkldnn_reorder_conv2d_weight_ops.h 2024-08-20T21:38:18.1553467Z inflating: build/lib/torch/include/ATen/ops/mkldnn_reorder_conv3d_weight.h 2024-08-20T21:38:18.1554042Z inflating: build/lib/torch/include/ATen/ops/mkldnn_reorder_conv3d_weight_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1554448Z inflating: build/lib/torch/include/ATen/ops/mkldnn_reorder_conv3d_weight_native.h 2024-08-20T21:38:18.1554882Z inflating: build/lib/torch/include/ATen/ops/mkldnn_reorder_conv3d_weight_ops.h 2024-08-20T21:38:18.1555157Z inflating: build/lib/torch/include/ATen/ops/mkldnn_rnn_layer.h 2024-08-20T21:38:18.1555504Z inflating: build/lib/torch/include/ATen/ops/mkldnn_rnn_layer_backward.h 2024-08-20T21:38:18.1556061Z inflating: build/lib/torch/include/ATen/ops/mkldnn_rnn_layer_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1556474Z inflating: build/lib/torch/include/ATen/ops/mkldnn_rnn_layer_backward_cpu_dispatch.h 2024-08-20T21:38:18.1556862Z inflating: build/lib/torch/include/ATen/ops/mkldnn_rnn_layer_backward_native.h 2024-08-20T21:38:18.1557213Z inflating: build/lib/torch/include/ATen/ops/mkldnn_rnn_layer_backward_ops.h 2024-08-20T21:38:18.1557735Z inflating: build/lib/torch/include/ATen/ops/mkldnn_rnn_layer_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1558147Z inflating: build/lib/torch/include/ATen/ops/mkldnn_rnn_layer_cpu_dispatch.h 2024-08-20T21:38:18.1558469Z inflating: build/lib/torch/include/ATen/ops/mkldnn_rnn_layer_native.h 2024-08-20T21:38:18.1558773Z inflating: build/lib/torch/include/ATen/ops/mkldnn_rnn_layer_ops.h 2024-08-20T21:38:18.1558962Z inflating: build/lib/torch/include/ATen/ops/mm.h 2024-08-20T21:38:18.1559468Z inflating: build/lib/torch/include/ATen/ops/mm_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1559744Z inflating: build/lib/torch/include/ATen/ops/mm_cpu_dispatch.h 2024-08-20T21:38:18.1560013Z inflating: build/lib/torch/include/ATen/ops/mm_cuda_dispatch.h 2024-08-20T21:38:18.1560223Z inflating: build/lib/torch/include/ATen/ops/mm_meta.h 2024-08-20T21:38:18.1560501Z inflating: build/lib/torch/include/ATen/ops/mm_meta_dispatch.h 2024-08-20T21:38:18.1560725Z inflating: build/lib/torch/include/ATen/ops/mm_native.h 2024-08-20T21:38:18.1560947Z inflating: build/lib/torch/include/ATen/ops/mm_ops.h 2024-08-20T21:38:18.1561145Z inflating: build/lib/torch/include/ATen/ops/mode.h 2024-08-20T21:38:18.1561614Z inflating: build/lib/torch/include/ATen/ops/mode_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1562052Z inflating: build/lib/torch/include/ATen/ops/mode_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1562328Z inflating: build/lib/torch/include/ATen/ops/mode_cpu_dispatch.h 2024-08-20T21:38:18.1562608Z inflating: build/lib/torch/include/ATen/ops/mode_cuda_dispatch.h 2024-08-20T21:38:18.1562852Z inflating: build/lib/torch/include/ATen/ops/mode_native.h 2024-08-20T21:38:18.1563070Z inflating: build/lib/torch/include/ATen/ops/mode_ops.h 2024-08-20T21:38:18.1563285Z inflating: build/lib/torch/include/ATen/ops/moveaxis.h 2024-08-20T21:38:18.1563756Z inflating: build/lib/torch/include/ATen/ops/moveaxis_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1564017Z inflating: build/lib/torch/include/ATen/ops/moveaxis_native.h 2024-08-20T21:38:18.1564269Z inflating: build/lib/torch/include/ATen/ops/moveaxis_ops.h 2024-08-20T21:38:18.1564485Z inflating: build/lib/torch/include/ATen/ops/movedim.h 2024-08-20T21:38:18.1564933Z inflating: build/lib/torch/include/ATen/ops/movedim_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1565271Z inflating: build/lib/torch/include/ATen/ops/movedim_native.h 2024-08-20T21:38:18.1565501Z inflating: build/lib/torch/include/ATen/ops/movedim_ops.h 2024-08-20T21:38:18.1565826Z inflating: build/lib/torch/include/ATen/ops/mps_convolution_backward.h 2024-08-20T21:38:18.1566387Z inflating: build/lib/torch/include/ATen/ops/mps_convolution_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1566752Z inflating: build/lib/torch/include/ATen/ops/mps_convolution_backward_native.h 2024-08-20T21:38:18.1567109Z inflating: build/lib/torch/include/ATen/ops/mps_convolution_backward_ops.h 2024-08-20T21:38:18.1567488Z inflating: build/lib/torch/include/ATen/ops/mps_convolution_transpose_backward.h 2024-08-20T21:38:18.1568157Z inflating: build/lib/torch/include/ATen/ops/mps_convolution_transpose_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1568595Z inflating: build/lib/torch/include/ATen/ops/mps_convolution_transpose_backward_native.h 2024-08-20T21:38:18.1569002Z inflating: build/lib/torch/include/ATen/ops/mps_convolution_transpose_backward_ops.h 2024-08-20T21:38:18.1569218Z inflating: build/lib/torch/include/ATen/ops/mse_loss.h 2024-08-20T21:38:18.1569509Z inflating: build/lib/torch/include/ATen/ops/mse_loss_backward.h 2024-08-20T21:38:18.1569869Z inflating: build/lib/torch/include/ATen/ops/mse_loss_backward_cpu_dispatch.h 2024-08-20T21:38:18.1570245Z inflating: build/lib/torch/include/ATen/ops/mse_loss_backward_cuda_dispatch.h 2024-08-20T21:38:18.1570567Z inflating: build/lib/torch/include/ATen/ops/mse_loss_backward_native.h 2024-08-20T21:38:18.1570863Z inflating: build/lib/torch/include/ATen/ops/mse_loss_backward_ops.h 2024-08-20T21:38:18.1571493Z inflating: build/lib/torch/include/ATen/ops/mse_loss_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1571793Z inflating: build/lib/torch/include/ATen/ops/mse_loss_cpu_dispatch.h 2024-08-20T21:38:18.1572102Z inflating: build/lib/torch/include/ATen/ops/mse_loss_cuda_dispatch.h 2024-08-20T21:38:18.1572361Z inflating: build/lib/torch/include/ATen/ops/mse_loss_meta.h 2024-08-20T21:38:18.1572666Z inflating: build/lib/torch/include/ATen/ops/mse_loss_meta_dispatch.h 2024-08-20T21:38:18.1572926Z inflating: build/lib/torch/include/ATen/ops/mse_loss_native.h 2024-08-20T21:38:18.1573180Z inflating: build/lib/torch/include/ATen/ops/mse_loss_ops.h 2024-08-20T21:38:18.1573387Z inflating: build/lib/torch/include/ATen/ops/msort.h 2024-08-20T21:38:18.1573836Z inflating: build/lib/torch/include/ATen/ops/msort_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1574079Z inflating: build/lib/torch/include/ATen/ops/msort_native.h 2024-08-20T21:38:18.1574302Z inflating: build/lib/torch/include/ATen/ops/msort_ops.h 2024-08-20T21:38:18.1574509Z inflating: build/lib/torch/include/ATen/ops/mul.h 2024-08-20T21:38:18.1574928Z inflating: build/lib/torch/include/ATen/ops/mul_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1575446Z inflating: build/lib/torch/include/ATen/ops/mul_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1575726Z inflating: build/lib/torch/include/ATen/ops/mul_cpu_dispatch.h 2024-08-20T21:38:18.1576007Z inflating: build/lib/torch/include/ATen/ops/mul_cuda_dispatch.h 2024-08-20T21:38:18.1576234Z inflating: build/lib/torch/include/ATen/ops/mul_meta.h 2024-08-20T21:38:18.1576508Z inflating: build/lib/torch/include/ATen/ops/mul_meta_dispatch.h 2024-08-20T21:38:18.1576732Z inflating: build/lib/torch/include/ATen/ops/mul_native.h 2024-08-20T21:38:18.1576953Z inflating: build/lib/torch/include/ATen/ops/mul_ops.h 2024-08-20T21:38:18.1577233Z inflating: build/lib/torch/include/ATen/ops/multi_margin_loss.h 2024-08-20T21:38:18.1577576Z inflating: build/lib/torch/include/ATen/ops/multi_margin_loss_backward.h 2024-08-20T21:38:18.1578005Z inflating: build/lib/torch/include/ATen/ops/multi_margin_loss_backward_cpu_dispatch.h 2024-08-20T21:38:18.1578424Z inflating: build/lib/torch/include/ATen/ops/multi_margin_loss_backward_cuda_dispatch.h 2024-08-20T21:38:18.1578798Z inflating: build/lib/torch/include/ATen/ops/multi_margin_loss_backward_native.h 2024-08-20T21:38:18.1579167Z inflating: build/lib/torch/include/ATen/ops/multi_margin_loss_backward_ops.h 2024-08-20T21:38:18.1579524Z inflating: build/lib/torch/include/ATen/ops/multi_margin_loss_cpu_dispatch.h 2024-08-20T21:38:18.1579980Z inflating: build/lib/torch/include/ATen/ops/multi_margin_loss_cuda_dispatch.h 2024-08-20T21:38:18.1580308Z inflating: build/lib/torch/include/ATen/ops/multi_margin_loss_native.h 2024-08-20T21:38:18.1580606Z inflating: build/lib/torch/include/ATen/ops/multi_margin_loss_ops.h 2024-08-20T21:38:18.1580938Z inflating: build/lib/torch/include/ATen/ops/multilabel_margin_loss.h 2024-08-20T21:38:18.1581368Z inflating: build/lib/torch/include/ATen/ops/multilabel_margin_loss_backward.h 2024-08-20T21:38:18.1581826Z inflating: build/lib/torch/include/ATen/ops/multilabel_margin_loss_backward_cpu_dispatch.h 2024-08-20T21:38:18.1582293Z inflating: build/lib/torch/include/ATen/ops/multilabel_margin_loss_backward_cuda_dispatch.h 2024-08-20T21:38:18.1582710Z inflating: build/lib/torch/include/ATen/ops/multilabel_margin_loss_backward_native.h 2024-08-20T21:38:18.1583115Z inflating: build/lib/torch/include/ATen/ops/multilabel_margin_loss_backward_ops.h 2024-08-20T21:38:18.1583663Z inflating: build/lib/torch/include/ATen/ops/multilabel_margin_loss_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1584028Z inflating: build/lib/torch/include/ATen/ops/multilabel_margin_loss_forward.h 2024-08-20T21:38:18.1584487Z inflating: build/lib/torch/include/ATen/ops/multilabel_margin_loss_forward_cpu_dispatch.h 2024-08-20T21:38:18.1584998Z inflating: build/lib/torch/include/ATen/ops/multilabel_margin_loss_forward_cuda_dispatch.h 2024-08-20T21:38:18.1585402Z inflating: build/lib/torch/include/ATen/ops/multilabel_margin_loss_forward_native.h 2024-08-20T21:38:18.1585805Z inflating: build/lib/torch/include/ATen/ops/multilabel_margin_loss_forward_ops.h 2024-08-20T21:38:18.1586159Z inflating: build/lib/torch/include/ATen/ops/multilabel_margin_loss_native.h 2024-08-20T21:38:18.1586506Z inflating: build/lib/torch/include/ATen/ops/multilabel_margin_loss_ops.h 2024-08-20T21:38:18.1586741Z inflating: build/lib/torch/include/ATen/ops/multinomial.h 2024-08-20T21:38:18.1587068Z inflating: build/lib/torch/include/ATen/ops/multinomial_cpu_dispatch.h 2024-08-20T21:38:18.1587417Z inflating: build/lib/torch/include/ATen/ops/multinomial_cuda_dispatch.h 2024-08-20T21:38:18.1587699Z inflating: build/lib/torch/include/ATen/ops/multinomial_native.h 2024-08-20T21:38:18.1587968Z inflating: build/lib/torch/include/ATen/ops/multinomial_ops.h 2024-08-20T21:38:18.1588258Z inflating: build/lib/torch/include/ATen/ops/multiply.h 2024-08-20T21:38:18.1588719Z inflating: build/lib/torch/include/ATen/ops/multiply_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1588985Z inflating: build/lib/torch/include/ATen/ops/multiply_native.h 2024-08-20T21:38:18.1589240Z inflating: build/lib/torch/include/ATen/ops/multiply_ops.h 2024-08-20T21:38:18.1589474Z inflating: build/lib/torch/include/ATen/ops/mv.h 2024-08-20T21:38:18.1589893Z inflating: build/lib/torch/include/ATen/ops/mv_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1590113Z inflating: build/lib/torch/include/ATen/ops/mv_native.h 2024-08-20T21:38:18.1590320Z inflating: build/lib/torch/include/ATen/ops/mv_ops.h 2024-08-20T21:38:18.1590545Z inflating: build/lib/torch/include/ATen/ops/mvlgamma.h 2024-08-20T21:38:18.1591006Z inflating: build/lib/torch/include/ATen/ops/mvlgamma_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1591320Z inflating: build/lib/torch/include/ATen/ops/mvlgamma_cpu_dispatch.h 2024-08-20T21:38:18.1591643Z inflating: build/lib/torch/include/ATen/ops/mvlgamma_cuda_dispatch.h 2024-08-20T21:38:18.1591907Z inflating: build/lib/torch/include/ATen/ops/mvlgamma_native.h 2024-08-20T21:38:18.1592147Z inflating: build/lib/torch/include/ATen/ops/mvlgamma_ops.h 2024-08-20T21:38:18.1592385Z inflating: build/lib/torch/include/ATen/ops/nan_to_num.h 2024-08-20T21:38:18.1592846Z inflating: build/lib/torch/include/ATen/ops/nan_to_num_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1593170Z inflating: build/lib/torch/include/ATen/ops/nan_to_num_cpu_dispatch.h 2024-08-20T21:38:18.1593492Z inflating: build/lib/torch/include/ATen/ops/nan_to_num_cuda_dispatch.h 2024-08-20T21:38:18.1593764Z inflating: build/lib/torch/include/ATen/ops/nan_to_num_native.h 2024-08-20T21:38:18.1594034Z inflating: build/lib/torch/include/ATen/ops/nan_to_num_ops.h 2024-08-20T21:38:18.1594244Z inflating: build/lib/torch/include/ATen/ops/nanmean.h 2024-08-20T21:38:18.1594779Z inflating: build/lib/torch/include/ATen/ops/nanmean_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1595050Z inflating: build/lib/torch/include/ATen/ops/nanmean_native.h 2024-08-20T21:38:18.1595281Z inflating: build/lib/torch/include/ATen/ops/nanmean_ops.h 2024-08-20T21:38:18.1595516Z inflating: build/lib/torch/include/ATen/ops/nanmedian.h 2024-08-20T21:38:18.1595981Z inflating: build/lib/torch/include/ATen/ops/nanmedian_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1596448Z inflating: build/lib/torch/include/ATen/ops/nanmedian_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1596776Z inflating: build/lib/torch/include/ATen/ops/nanmedian_cpu_dispatch.h 2024-08-20T21:38:18.1597097Z inflating: build/lib/torch/include/ATen/ops/nanmedian_cuda_dispatch.h 2024-08-20T21:38:18.1597421Z inflating: build/lib/torch/include/ATen/ops/nanmedian_native.h 2024-08-20T21:38:18.1597694Z inflating: build/lib/torch/include/ATen/ops/nanmedian_ops.h 2024-08-20T21:38:18.1597928Z inflating: build/lib/torch/include/ATen/ops/nanquantile.h 2024-08-20T21:38:18.1598409Z inflating: build/lib/torch/include/ATen/ops/nanquantile_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1598705Z inflating: build/lib/torch/include/ATen/ops/nanquantile_native.h 2024-08-20T21:38:18.1598968Z inflating: build/lib/torch/include/ATen/ops/nanquantile_ops.h 2024-08-20T21:38:18.1599190Z inflating: build/lib/torch/include/ATen/ops/nansum.h 2024-08-20T21:38:18.1599474Z inflating: build/lib/torch/include/ATen/ops/nansum_cpu_dispatch.h 2024-08-20T21:38:18.1599765Z inflating: build/lib/torch/include/ATen/ops/nansum_cuda_dispatch.h 2024-08-20T21:38:18.1600026Z inflating: build/lib/torch/include/ATen/ops/nansum_native.h 2024-08-20T21:38:18.1600251Z inflating: build/lib/torch/include/ATen/ops/nansum_ops.h 2024-08-20T21:38:18.1600464Z inflating: build/lib/torch/include/ATen/ops/narrow.h 2024-08-20T21:38:18.1600926Z inflating: build/lib/torch/include/ATen/ops/narrow_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1601155Z inflating: build/lib/torch/include/ATen/ops/narrow_copy.h 2024-08-20T21:38:18.1601727Z inflating: build/lib/torch/include/ATen/ops/narrow_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1602063Z inflating: build/lib/torch/include/ATen/ops/narrow_copy_cpu_dispatch.h 2024-08-20T21:38:18.1602406Z inflating: build/lib/torch/include/ATen/ops/narrow_copy_native.h 2024-08-20T21:38:18.1602723Z inflating: build/lib/torch/include/ATen/ops/narrow_copy_ops.h 2024-08-20T21:38:18.1602979Z inflating: build/lib/torch/include/ATen/ops/narrow_native.h 2024-08-20T21:38:18.1603206Z inflating: build/lib/torch/include/ATen/ops/narrow_ops.h 2024-08-20T21:38:18.1603490Z inflating: build/lib/torch/include/ATen/ops/native_batch_norm.h 2024-08-20T21:38:18.1603830Z inflating: build/lib/torch/include/ATen/ops/native_batch_norm_backward.h 2024-08-20T21:38:18.1604406Z inflating: build/lib/torch/include/ATen/ops/native_batch_norm_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1604833Z inflating: build/lib/torch/include/ATen/ops/native_batch_norm_backward_cpu_dispatch.h 2024-08-20T21:38:18.1605259Z inflating: build/lib/torch/include/ATen/ops/native_batch_norm_backward_cuda_dispatch.h 2024-08-20T21:38:18.1605651Z inflating: build/lib/torch/include/ATen/ops/native_batch_norm_backward_native.h 2024-08-20T21:38:18.1606029Z inflating: build/lib/torch/include/ATen/ops/native_batch_norm_backward_ops.h 2024-08-20T21:38:18.1606388Z inflating: build/lib/torch/include/ATen/ops/native_batch_norm_cpu_dispatch.h 2024-08-20T21:38:18.1606768Z inflating: build/lib/torch/include/ATen/ops/native_batch_norm_cuda_dispatch.h 2024-08-20T21:38:18.1607094Z inflating: build/lib/torch/include/ATen/ops/native_batch_norm_native.h 2024-08-20T21:38:18.1607400Z inflating: build/lib/torch/include/ATen/ops/native_batch_norm_ops.h 2024-08-20T21:38:18.1607792Z inflating: build/lib/torch/include/ATen/ops/native_channel_shuffle.h 2024-08-20T21:38:18.1608335Z inflating: build/lib/torch/include/ATen/ops/native_channel_shuffle_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1608735Z inflating: build/lib/torch/include/ATen/ops/native_channel_shuffle_cpu_dispatch.h 2024-08-20T21:38:18.1609087Z inflating: build/lib/torch/include/ATen/ops/native_channel_shuffle_native.h 2024-08-20T21:38:18.1609422Z inflating: build/lib/torch/include/ATen/ops/native_channel_shuffle_ops.h 2024-08-20T21:38:18.1609689Z inflating: build/lib/torch/include/ATen/ops/native_dropout.h 2024-08-20T21:38:18.1610008Z inflating: build/lib/torch/include/ATen/ops/native_dropout_backward.h 2024-08-20T21:38:18.1610555Z inflating: build/lib/torch/include/ATen/ops/native_dropout_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1611022Z inflating: build/lib/torch/include/ATen/ops/native_dropout_backward_cpu_dispatch.h 2024-08-20T21:38:18.1611431Z inflating: build/lib/torch/include/ATen/ops/native_dropout_backward_cuda_dispatch.h 2024-08-20T21:38:18.1611794Z inflating: build/lib/torch/include/ATen/ops/native_dropout_backward_native.h 2024-08-20T21:38:18.1612146Z inflating: build/lib/torch/include/ATen/ops/native_dropout_backward_ops.h 2024-08-20T21:38:18.1612642Z inflating: build/lib/torch/include/ATen/ops/native_dropout_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1612998Z inflating: build/lib/torch/include/ATen/ops/native_dropout_cpu_dispatch.h 2024-08-20T21:38:18.1613344Z inflating: build/lib/torch/include/ATen/ops/native_dropout_cuda_dispatch.h 2024-08-20T21:38:18.1613648Z inflating: build/lib/torch/include/ATen/ops/native_dropout_native.h 2024-08-20T21:38:18.1613941Z inflating: build/lib/torch/include/ATen/ops/native_dropout_ops.h 2024-08-20T21:38:18.1614222Z inflating: build/lib/torch/include/ATen/ops/native_group_norm.h 2024-08-20T21:38:18.1614563Z inflating: build/lib/torch/include/ATen/ops/native_group_norm_backward.h 2024-08-20T21:38:18.1615144Z inflating: build/lib/torch/include/ATen/ops/native_group_norm_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1615565Z inflating: build/lib/torch/include/ATen/ops/native_group_norm_backward_cpu_dispatch.h 2024-08-20T21:38:18.1615999Z inflating: build/lib/torch/include/ATen/ops/native_group_norm_backward_cuda_dispatch.h 2024-08-20T21:38:18.1616381Z inflating: build/lib/torch/include/ATen/ops/native_group_norm_backward_native.h 2024-08-20T21:38:18.1616741Z inflating: build/lib/torch/include/ATen/ops/native_group_norm_backward_ops.h 2024-08-20T21:38:18.1617263Z inflating: build/lib/torch/include/ATen/ops/native_group_norm_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1617623Z inflating: build/lib/torch/include/ATen/ops/native_group_norm_cpu_dispatch.h 2024-08-20T21:38:18.1618001Z inflating: build/lib/torch/include/ATen/ops/native_group_norm_cuda_dispatch.h 2024-08-20T21:38:18.1618340Z inflating: build/lib/torch/include/ATen/ops/native_group_norm_native.h 2024-08-20T21:38:18.1618644Z inflating: build/lib/torch/include/ATen/ops/native_group_norm_ops.h 2024-08-20T21:38:18.1618931Z inflating: build/lib/torch/include/ATen/ops/native_layer_norm.h 2024-08-20T21:38:18.1619268Z inflating: build/lib/torch/include/ATen/ops/native_layer_norm_backward.h 2024-08-20T21:38:18.1620024Z inflating: build/lib/torch/include/ATen/ops/native_layer_norm_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1620457Z inflating: build/lib/torch/include/ATen/ops/native_layer_norm_backward_cpu_dispatch.h 2024-08-20T21:38:18.1620878Z inflating: build/lib/torch/include/ATen/ops/native_layer_norm_backward_cuda_dispatch.h 2024-08-20T21:38:18.1621253Z inflating: build/lib/torch/include/ATen/ops/native_layer_norm_backward_native.h 2024-08-20T21:38:18.1621630Z inflating: build/lib/torch/include/ATen/ops/native_layer_norm_backward_ops.h 2024-08-20T21:38:18.1622207Z inflating: build/lib/torch/include/ATen/ops/native_layer_norm_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1622578Z inflating: build/lib/torch/include/ATen/ops/native_layer_norm_cpu_dispatch.h 2024-08-20T21:38:18.1622948Z inflating: build/lib/torch/include/ATen/ops/native_layer_norm_cuda_dispatch.h 2024-08-20T21:38:18.1623272Z inflating: build/lib/torch/include/ATen/ops/native_layer_norm_native.h 2024-08-20T21:38:18.1623586Z inflating: build/lib/torch/include/ATen/ops/native_layer_norm_ops.h 2024-08-20T21:38:18.1623819Z inflating: build/lib/torch/include/ATen/ops/native_norm.h 2024-08-20T21:38:18.1624294Z inflating: build/lib/torch/include/ATen/ops/native_norm_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1624591Z inflating: build/lib/torch/include/ATen/ops/native_norm_native.h 2024-08-20T21:38:18.1624859Z inflating: build/lib/torch/include/ATen/ops/native_norm_ops.h 2024-08-20T21:38:18.1625116Z inflating: build/lib/torch/include/ATen/ops/ne.h 2024-08-20T21:38:18.1625641Z inflating: build/lib/torch/include/ATen/ops/ne_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1626102Z inflating: build/lib/torch/include/ATen/ops/ne_cpu_dispatch.h 2024-08-20T21:38:18.1626455Z inflating: build/lib/torch/include/ATen/ops/ne_cuda_dispatch.h 2024-08-20T21:38:18.1626669Z inflating: build/lib/torch/include/ATen/ops/ne_meta.h 2024-08-20T21:38:18.1626935Z inflating: build/lib/torch/include/ATen/ops/ne_meta_dispatch.h 2024-08-20T21:38:18.1627171Z inflating: build/lib/torch/include/ATen/ops/ne_native.h 2024-08-20T21:38:18.1627379Z inflating: build/lib/torch/include/ATen/ops/ne_ops.h 2024-08-20T21:38:18.1627568Z inflating: build/lib/torch/include/ATen/ops/neg.h 2024-08-20T21:38:18.1628104Z inflating: build/lib/torch/include/ATen/ops/neg_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1628382Z inflating: build/lib/torch/include/ATen/ops/neg_cpu_dispatch.h 2024-08-20T21:38:18.1628680Z inflating: build/lib/torch/include/ATen/ops/neg_cuda_dispatch.h 2024-08-20T21:38:18.1628892Z inflating: build/lib/torch/include/ATen/ops/neg_meta.h 2024-08-20T21:38:18.1629162Z inflating: build/lib/torch/include/ATen/ops/neg_meta_dispatch.h 2024-08-20T21:38:18.1629397Z inflating: build/lib/torch/include/ATen/ops/neg_native.h 2024-08-20T21:38:18.1629678Z inflating: build/lib/torch/include/ATen/ops/neg_ops.h 2024-08-20T21:38:18.1629893Z inflating: build/lib/torch/include/ATen/ops/negative.h 2024-08-20T21:38:18.1630363Z inflating: build/lib/torch/include/ATen/ops/negative_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1630630Z inflating: build/lib/torch/include/ATen/ops/negative_native.h 2024-08-20T21:38:18.1630868Z inflating: build/lib/torch/include/ATen/ops/negative_ops.h 2024-08-20T21:38:18.1631197Z inflating: build/lib/torch/include/ATen/ops/nested_to_padded_tensor.h 2024-08-20T21:38:18.1631749Z inflating: build/lib/torch/include/ATen/ops/nested_to_padded_tensor_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1632128Z inflating: build/lib/torch/include/ATen/ops/nested_to_padded_tensor_native.h 2024-08-20T21:38:18.1632467Z inflating: build/lib/torch/include/ATen/ops/nested_to_padded_tensor_ops.h 2024-08-20T21:38:18.1632692Z inflating: build/lib/torch/include/ATen/ops/new_empty.h 2024-08-20T21:38:18.1633162Z inflating: build/lib/torch/include/ATen/ops/new_empty_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1633429Z inflating: build/lib/torch/include/ATen/ops/new_empty_native.h 2024-08-20T21:38:18.1633677Z inflating: build/lib/torch/include/ATen/ops/new_empty_ops.h 2024-08-20T21:38:18.1633962Z inflating: build/lib/torch/include/ATen/ops/new_empty_strided.h 2024-08-20T21:38:18.1634465Z inflating: build/lib/torch/include/ATen/ops/new_empty_strided_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1635084Z inflating: build/lib/torch/include/ATen/ops/new_empty_strided_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1635530Z inflating: build/lib/torch/include/ATen/ops/new_empty_strided_native.h 2024-08-20T21:38:18.1635832Z inflating: build/lib/torch/include/ATen/ops/new_empty_strided_ops.h 2024-08-20T21:38:18.1636063Z inflating: build/lib/torch/include/ATen/ops/new_full.h 2024-08-20T21:38:18.1636513Z inflating: build/lib/torch/include/ATen/ops/new_full_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1636773Z inflating: build/lib/torch/include/ATen/ops/new_full_native.h 2024-08-20T21:38:18.1637031Z inflating: build/lib/torch/include/ATen/ops/new_full_ops.h 2024-08-20T21:38:18.1637247Z inflating: build/lib/torch/include/ATen/ops/new_ones.h 2024-08-20T21:38:18.1637700Z inflating: build/lib/torch/include/ATen/ops/new_ones_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1637974Z inflating: build/lib/torch/include/ATen/ops/new_ones_native.h 2024-08-20T21:38:18.1638302Z inflating: build/lib/torch/include/ATen/ops/new_ones_ops.h 2024-08-20T21:38:18.1638541Z inflating: build/lib/torch/include/ATen/ops/new_zeros.h 2024-08-20T21:38:18.1638997Z inflating: build/lib/torch/include/ATen/ops/new_zeros_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1639264Z inflating: build/lib/torch/include/ATen/ops/new_zeros_native.h 2024-08-20T21:38:18.1639532Z inflating: build/lib/torch/include/ATen/ops/new_zeros_ops.h 2024-08-20T21:38:18.1639754Z inflating: build/lib/torch/include/ATen/ops/nextafter.h 2024-08-20T21:38:18.1640327Z inflating: build/lib/torch/include/ATen/ops/nextafter_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1640660Z inflating: build/lib/torch/include/ATen/ops/nextafter_cpu_dispatch.h 2024-08-20T21:38:18.1640981Z inflating: build/lib/torch/include/ATen/ops/nextafter_cuda_dispatch.h 2024-08-20T21:38:18.1641241Z inflating: build/lib/torch/include/ATen/ops/nextafter_meta.h 2024-08-20T21:38:18.1641577Z inflating: build/lib/torch/include/ATen/ops/nextafter_meta_dispatch.h 2024-08-20T21:38:18.1641852Z inflating: build/lib/torch/include/ATen/ops/nextafter_native.h 2024-08-20T21:38:18.1642118Z inflating: build/lib/torch/include/ATen/ops/nextafter_ops.h 2024-08-20T21:38:18.1642331Z inflating: build/lib/torch/include/ATen/ops/nll_loss.h 2024-08-20T21:38:18.1642555Z inflating: build/lib/torch/include/ATen/ops/nll_loss2d.h 2024-08-20T21:38:18.1642856Z inflating: build/lib/torch/include/ATen/ops/nll_loss2d_backward.h 2024-08-20T21:38:18.1643226Z inflating: build/lib/torch/include/ATen/ops/nll_loss2d_backward_cpu_dispatch.h 2024-08-20T21:38:18.1643602Z inflating: build/lib/torch/include/ATen/ops/nll_loss2d_backward_cuda_dispatch.h 2024-08-20T21:38:18.1643949Z inflating: build/lib/torch/include/ATen/ops/nll_loss2d_backward_native.h 2024-08-20T21:38:18.1644261Z inflating: build/lib/torch/include/ATen/ops/nll_loss2d_backward_ops.h 2024-08-20T21:38:18.1644738Z inflating: build/lib/torch/include/ATen/ops/nll_loss2d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1645023Z inflating: build/lib/torch/include/ATen/ops/nll_loss2d_forward.h 2024-08-20T21:38:18.1645385Z inflating: build/lib/torch/include/ATen/ops/nll_loss2d_forward_cpu_dispatch.h 2024-08-20T21:38:18.1645765Z inflating: build/lib/torch/include/ATen/ops/nll_loss2d_forward_cuda_dispatch.h 2024-08-20T21:38:18.1646090Z inflating: build/lib/torch/include/ATen/ops/nll_loss2d_forward_native.h 2024-08-20T21:38:18.1646394Z inflating: build/lib/torch/include/ATen/ops/nll_loss2d_forward_ops.h 2024-08-20T21:38:18.1646679Z inflating: build/lib/torch/include/ATen/ops/nll_loss2d_native.h 2024-08-20T21:38:18.1646932Z inflating: build/lib/torch/include/ATen/ops/nll_loss2d_ops.h 2024-08-20T21:38:18.1647203Z inflating: build/lib/torch/include/ATen/ops/nll_loss_backward.h 2024-08-20T21:38:18.1647813Z inflating: build/lib/torch/include/ATen/ops/nll_loss_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1648177Z inflating: build/lib/torch/include/ATen/ops/nll_loss_backward_cpu_dispatch.h 2024-08-20T21:38:18.1648608Z inflating: build/lib/torch/include/ATen/ops/nll_loss_backward_cuda_dispatch.h 2024-08-20T21:38:18.1648918Z inflating: build/lib/torch/include/ATen/ops/nll_loss_backward_meta.h 2024-08-20T21:38:18.1649277Z inflating: build/lib/torch/include/ATen/ops/nll_loss_backward_meta_dispatch.h 2024-08-20T21:38:18.1649611Z inflating: build/lib/torch/include/ATen/ops/nll_loss_backward_native.h 2024-08-20T21:38:18.1649910Z inflating: build/lib/torch/include/ATen/ops/nll_loss_backward_ops.h 2024-08-20T21:38:18.1650362Z inflating: build/lib/torch/include/ATen/ops/nll_loss_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1650641Z inflating: build/lib/torch/include/ATen/ops/nll_loss_forward.h 2024-08-20T21:38:18.1651236Z inflating: build/lib/torch/include/ATen/ops/nll_loss_forward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1651649Z inflating: build/lib/torch/include/ATen/ops/nll_loss_forward_cpu_dispatch.h 2024-08-20T21:38:18.1652011Z inflating: build/lib/torch/include/ATen/ops/nll_loss_forward_cuda_dispatch.h 2024-08-20T21:38:18.1652308Z inflating: build/lib/torch/include/ATen/ops/nll_loss_forward_meta.h 2024-08-20T21:38:18.1652677Z inflating: build/lib/torch/include/ATen/ops/nll_loss_forward_meta_dispatch.h 2024-08-20T21:38:18.1652991Z inflating: build/lib/torch/include/ATen/ops/nll_loss_forward_native.h 2024-08-20T21:38:18.1653284Z inflating: build/lib/torch/include/ATen/ops/nll_loss_forward_ops.h 2024-08-20T21:38:18.1653557Z inflating: build/lib/torch/include/ATen/ops/nll_loss_native.h 2024-08-20T21:38:18.1653787Z inflating: build/lib/torch/include/ATen/ops/nll_loss_nd.h 2024-08-20T21:38:18.1654271Z inflating: build/lib/torch/include/ATen/ops/nll_loss_nd_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1654550Z inflating: build/lib/torch/include/ATen/ops/nll_loss_nd_native.h 2024-08-20T21:38:18.1654812Z inflating: build/lib/torch/include/ATen/ops/nll_loss_nd_ops.h 2024-08-20T21:38:18.1655066Z inflating: build/lib/torch/include/ATen/ops/nll_loss_ops.h 2024-08-20T21:38:18.1655276Z inflating: build/lib/torch/include/ATen/ops/nonzero.h 2024-08-20T21:38:18.1655572Z inflating: build/lib/torch/include/ATen/ops/nonzero_cpu_dispatch.h 2024-08-20T21:38:18.1655885Z inflating: build/lib/torch/include/ATen/ops/nonzero_cuda_dispatch.h 2024-08-20T21:38:18.1656143Z inflating: build/lib/torch/include/ATen/ops/nonzero_native.h 2024-08-20T21:38:18.1656394Z inflating: build/lib/torch/include/ATen/ops/nonzero_numpy.h 2024-08-20T21:38:18.1656894Z inflating: build/lib/torch/include/ATen/ops/nonzero_numpy_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1657191Z inflating: build/lib/torch/include/ATen/ops/nonzero_numpy_native.h 2024-08-20T21:38:18.1657479Z inflating: build/lib/torch/include/ATen/ops/nonzero_numpy_ops.h 2024-08-20T21:38:18.1657711Z inflating: build/lib/torch/include/ATen/ops/nonzero_ops.h 2024-08-20T21:38:18.1657971Z inflating: build/lib/torch/include/ATen/ops/nonzero_static.h 2024-08-20T21:38:18.1658322Z inflating: build/lib/torch/include/ATen/ops/nonzero_static_cpu_dispatch.h 2024-08-20T21:38:18.1658623Z inflating: build/lib/torch/include/ATen/ops/nonzero_static_native.h 2024-08-20T21:38:18.1658904Z inflating: build/lib/torch/include/ATen/ops/nonzero_static_ops.h 2024-08-20T21:38:18.1659108Z inflating: build/lib/torch/include/ATen/ops/norm.h 2024-08-20T21:38:18.1659536Z inflating: build/lib/torch/include/ATen/ops/norm_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1660134Z inflating: build/lib/torch/include/ATen/ops/norm_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1660585Z inflating: build/lib/torch/include/ATen/ops/norm_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1660863Z inflating: build/lib/torch/include/ATen/ops/norm_cpu_dispatch.h 2024-08-20T21:38:18.1661162Z inflating: build/lib/torch/include/ATen/ops/norm_cuda_dispatch.h 2024-08-20T21:38:18.1661480Z inflating: build/lib/torch/include/ATen/ops/norm_except_dim.h 2024-08-20T21:38:18.1661981Z inflating: build/lib/torch/include/ATen/ops/norm_except_dim_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1662309Z inflating: build/lib/torch/include/ATen/ops/norm_except_dim_native.h 2024-08-20T21:38:18.1662594Z inflating: build/lib/torch/include/ATen/ops/norm_except_dim_ops.h 2024-08-20T21:38:18.1662814Z inflating: build/lib/torch/include/ATen/ops/norm_meta.h 2024-08-20T21:38:18.1663109Z inflating: build/lib/torch/include/ATen/ops/norm_meta_dispatch.h 2024-08-20T21:38:18.1663337Z inflating: build/lib/torch/include/ATen/ops/norm_native.h 2024-08-20T21:38:18.1663562Z inflating: build/lib/torch/include/ATen/ops/norm_ops.h 2024-08-20T21:38:18.1663773Z inflating: build/lib/torch/include/ATen/ops/normal.h 2024-08-20T21:38:18.1664269Z inflating: build/lib/torch/include/ATen/ops/normal_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1664571Z inflating: build/lib/torch/include/ATen/ops/normal_cpu_dispatch.h 2024-08-20T21:38:18.1664866Z inflating: build/lib/torch/include/ATen/ops/normal_cuda_dispatch.h 2024-08-20T21:38:18.1665159Z inflating: build/lib/torch/include/ATen/ops/normal_meta_dispatch.h 2024-08-20T21:38:18.1665430Z inflating: build/lib/torch/include/ATen/ops/normal_native.h 2024-08-20T21:38:18.1665657Z inflating: build/lib/torch/include/ATen/ops/normal_ops.h 2024-08-20T21:38:18.1665877Z inflating: build/lib/torch/include/ATen/ops/not_equal.h 2024-08-20T21:38:18.1666344Z inflating: build/lib/torch/include/ATen/ops/not_equal_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1666612Z inflating: build/lib/torch/include/ATen/ops/not_equal_native.h 2024-08-20T21:38:18.1666872Z inflating: build/lib/torch/include/ATen/ops/not_equal_ops.h 2024-08-20T21:38:18.1667113Z inflating: build/lib/torch/include/ATen/ops/nuclear_norm.h 2024-08-20T21:38:18.1667606Z inflating: build/lib/torch/include/ATen/ops/nuclear_norm_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1667904Z inflating: build/lib/torch/include/ATen/ops/nuclear_norm_native.h 2024-08-20T21:38:18.1668171Z inflating: build/lib/torch/include/ATen/ops/nuclear_norm_ops.h 2024-08-20T21:38:18.1668380Z inflating: build/lib/torch/include/ATen/ops/numpy_T.h 2024-08-20T21:38:18.1668839Z inflating: build/lib/torch/include/ATen/ops/numpy_T_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1669098Z inflating: build/lib/torch/include/ATen/ops/numpy_T_native.h 2024-08-20T21:38:18.1669330Z inflating: build/lib/torch/include/ATen/ops/numpy_T_ops.h 2024-08-20T21:38:18.1669548Z inflating: build/lib/torch/include/ATen/ops/one_hot.h 2024-08-20T21:38:18.1669993Z inflating: build/lib/torch/include/ATen/ops/one_hot_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1670255Z inflating: build/lib/torch/include/ATen/ops/one_hot_native.h 2024-08-20T21:38:18.1670490Z inflating: build/lib/torch/include/ATen/ops/one_hot_ops.h 2024-08-20T21:38:18.1670689Z inflating: build/lib/torch/include/ATen/ops/ones.h 2024-08-20T21:38:18.1671185Z inflating: build/lib/torch/include/ATen/ops/ones_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1671409Z inflating: build/lib/torch/include/ATen/ops/ones_like.h 2024-08-20T21:38:18.1671867Z inflating: build/lib/torch/include/ATen/ops/ones_like_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1672146Z inflating: build/lib/torch/include/ATen/ops/ones_like_native.h 2024-08-20T21:38:18.1672432Z inflating: build/lib/torch/include/ATen/ops/ones_like_ops.h 2024-08-20T21:38:18.1672671Z inflating: build/lib/torch/include/ATen/ops/ones_native.h 2024-08-20T21:38:18.1672888Z inflating: build/lib/torch/include/ATen/ops/ones_ops.h 2024-08-20T21:38:18.1673078Z inflating: build/lib/torch/include/ATen/ops/or.h 2024-08-20T21:38:18.1673505Z inflating: build/lib/torch/include/ATen/ops/or_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1673797Z inflating: build/lib/torch/include/ATen/ops/or_native.h 2024-08-20T21:38:18.1674005Z inflating: build/lib/torch/include/ATen/ops/or_ops.h 2024-08-20T21:38:18.1674220Z inflating: build/lib/torch/include/ATen/ops/orgqr.h 2024-08-20T21:38:18.1674657Z inflating: build/lib/torch/include/ATen/ops/orgqr_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1674900Z inflating: build/lib/torch/include/ATen/ops/orgqr_native.h 2024-08-20T21:38:18.1675139Z inflating: build/lib/torch/include/ATen/ops/orgqr_ops.h 2024-08-20T21:38:18.1675345Z inflating: build/lib/torch/include/ATen/ops/ormqr.h 2024-08-20T21:38:18.1675630Z inflating: build/lib/torch/include/ATen/ops/ormqr_cpu_dispatch.h 2024-08-20T21:38:18.1675932Z inflating: build/lib/torch/include/ATen/ops/ormqr_cuda_dispatch.h 2024-08-20T21:38:18.1676173Z inflating: build/lib/torch/include/ATen/ops/ormqr_native.h 2024-08-20T21:38:18.1676459Z inflating: build/lib/torch/include/ATen/ops/ormqr_ops.h 2024-08-20T21:38:18.1676666Z inflating: build/lib/torch/include/ATen/ops/outer.h 2024-08-20T21:38:18.1677104Z inflating: build/lib/torch/include/ATen/ops/outer_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1677359Z inflating: build/lib/torch/include/ATen/ops/outer_native.h 2024-08-20T21:38:18.1677581Z inflating: build/lib/torch/include/ATen/ops/outer_ops.h 2024-08-20T21:38:18.1677809Z inflating: build/lib/torch/include/ATen/ops/output_nr.h 2024-08-20T21:38:18.1678285Z inflating: build/lib/torch/include/ATen/ops/output_nr_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1678558Z inflating: build/lib/torch/include/ATen/ops/output_nr_native.h 2024-08-20T21:38:18.1678826Z inflating: build/lib/torch/include/ATen/ops/output_nr_ops.h 2024-08-20T21:38:18.1679022Z inflating: build/lib/torch/include/ATen/ops/pad.h 2024-08-20T21:38:18.1679488Z inflating: build/lib/torch/include/ATen/ops/pad_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1679787Z inflating: build/lib/torch/include/ATen/ops/pad_native.h 2024-08-20T21:38:18.1680004Z inflating: build/lib/torch/include/ATen/ops/pad_ops.h 2024-08-20T21:38:18.1680245Z inflating: build/lib/torch/include/ATen/ops/pad_sequence.h 2024-08-20T21:38:18.1680737Z inflating: build/lib/torch/include/ATen/ops/pad_sequence_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1681025Z inflating: build/lib/torch/include/ATen/ops/pad_sequence_native.h 2024-08-20T21:38:18.1681294Z inflating: build/lib/torch/include/ATen/ops/pad_sequence_ops.h 2024-08-20T21:38:18.1681590Z inflating: build/lib/torch/include/ATen/ops/pairwise_distance.h 2024-08-20T21:38:18.1682113Z inflating: build/lib/torch/include/ATen/ops/pairwise_distance_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1682455Z inflating: build/lib/torch/include/ATen/ops/pairwise_distance_native.h 2024-08-20T21:38:18.1682758Z inflating: build/lib/torch/include/ATen/ops/pairwise_distance_ops.h 2024-08-20T21:38:18.1682963Z inflating: build/lib/torch/include/ATen/ops/pdist.h 2024-08-20T21:38:18.1683416Z inflating: build/lib/torch/include/ATen/ops/pdist_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1683655Z inflating: build/lib/torch/include/ATen/ops/pdist_native.h 2024-08-20T21:38:18.1683879Z inflating: build/lib/torch/include/ATen/ops/pdist_ops.h 2024-08-20T21:38:18.1684103Z inflating: build/lib/torch/include/ATen/ops/permute.h 2024-08-20T21:38:18.1684555Z inflating: build/lib/torch/include/ATen/ops/permute_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1684798Z inflating: build/lib/torch/include/ATen/ops/permute_copy.h 2024-08-20T21:38:18.1685291Z inflating: build/lib/torch/include/ATen/ops/permute_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1685876Z inflating: build/lib/torch/include/ATen/ops/permute_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1686181Z inflating: build/lib/torch/include/ATen/ops/permute_copy_native.h 2024-08-20T21:38:18.1686512Z inflating: build/lib/torch/include/ATen/ops/permute_copy_ops.h 2024-08-20T21:38:18.1686771Z inflating: build/lib/torch/include/ATen/ops/permute_native.h 2024-08-20T21:38:18.1687016Z inflating: build/lib/torch/include/ATen/ops/permute_ops.h 2024-08-20T21:38:18.1687245Z inflating: build/lib/torch/include/ATen/ops/pin_memory.h 2024-08-20T21:38:18.1687707Z inflating: build/lib/torch/include/ATen/ops/pin_memory_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1687999Z inflating: build/lib/torch/include/ATen/ops/pin_memory_native.h 2024-08-20T21:38:18.1688253Z inflating: build/lib/torch/include/ATen/ops/pin_memory_ops.h 2024-08-20T21:38:18.1688485Z inflating: build/lib/torch/include/ATen/ops/pinverse.h 2024-08-20T21:38:18.1688951Z inflating: build/lib/torch/include/ATen/ops/pinverse_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1689215Z inflating: build/lib/torch/include/ATen/ops/pinverse_native.h 2024-08-20T21:38:18.1689524Z inflating: build/lib/torch/include/ATen/ops/pinverse_ops.h 2024-08-20T21:38:18.1689784Z inflating: build/lib/torch/include/ATen/ops/pixel_shuffle.h 2024-08-20T21:38:18.1690273Z inflating: build/lib/torch/include/ATen/ops/pixel_shuffle_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1690874Z inflating: build/lib/torch/include/ATen/ops/pixel_shuffle_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1691212Z inflating: build/lib/torch/include/ATen/ops/pixel_shuffle_cpu_dispatch.h 2024-08-20T21:38:18.1691506Z inflating: build/lib/torch/include/ATen/ops/pixel_shuffle_native.h 2024-08-20T21:38:18.1691799Z inflating: build/lib/torch/include/ATen/ops/pixel_shuffle_ops.h 2024-08-20T21:38:18.1692061Z inflating: build/lib/torch/include/ATen/ops/pixel_unshuffle.h 2024-08-20T21:38:18.1692574Z inflating: build/lib/torch/include/ATen/ops/pixel_unshuffle_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1693175Z inflating: build/lib/torch/include/ATen/ops/pixel_unshuffle_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1693525Z inflating: build/lib/torch/include/ATen/ops/pixel_unshuffle_cpu_dispatch.h 2024-08-20T21:38:18.1693848Z inflating: build/lib/torch/include/ATen/ops/pixel_unshuffle_native.h 2024-08-20T21:38:18.1694137Z inflating: build/lib/torch/include/ATen/ops/pixel_unshuffle_ops.h 2024-08-20T21:38:18.1694351Z inflating: build/lib/torch/include/ATen/ops/poisson.h 2024-08-20T21:38:18.1694811Z inflating: build/lib/torch/include/ATen/ops/poisson_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1695108Z inflating: build/lib/torch/include/ATen/ops/poisson_cpu_dispatch.h 2024-08-20T21:38:18.1695425Z inflating: build/lib/torch/include/ATen/ops/poisson_cuda_dispatch.h 2024-08-20T21:38:18.1695682Z inflating: build/lib/torch/include/ATen/ops/poisson_native.h 2024-08-20T21:38:18.1695947Z inflating: build/lib/torch/include/ATen/ops/poisson_nll_loss.h 2024-08-20T21:38:18.1696476Z inflating: build/lib/torch/include/ATen/ops/poisson_nll_loss_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1696866Z inflating: build/lib/torch/include/ATen/ops/poisson_nll_loss_native.h 2024-08-20T21:38:18.1697161Z inflating: build/lib/torch/include/ATen/ops/poisson_nll_loss_ops.h 2024-08-20T21:38:18.1697405Z inflating: build/lib/torch/include/ATen/ops/poisson_ops.h 2024-08-20T21:38:18.1697647Z inflating: build/lib/torch/include/ATen/ops/polar.h 2024-08-20T21:38:18.1698089Z inflating: build/lib/torch/include/ATen/ops/polar_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1698370Z inflating: build/lib/torch/include/ATen/ops/polar_cpu_dispatch.h 2024-08-20T21:38:18.1698654Z inflating: build/lib/torch/include/ATen/ops/polar_cuda_dispatch.h 2024-08-20T21:38:18.1698902Z inflating: build/lib/torch/include/ATen/ops/polar_native.h 2024-08-20T21:38:18.1699124Z inflating: build/lib/torch/include/ATen/ops/polar_ops.h 2024-08-20T21:38:18.1699354Z inflating: build/lib/torch/include/ATen/ops/polygamma.h 2024-08-20T21:38:18.1699975Z inflating: build/lib/torch/include/ATen/ops/polygamma_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1700550Z inflating: build/lib/torch/include/ATen/ops/polygamma_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1700867Z inflating: build/lib/torch/include/ATen/ops/polygamma_cpu_dispatch.h 2024-08-20T21:38:18.1701198Z inflating: build/lib/torch/include/ATen/ops/polygamma_cuda_dispatch.h 2024-08-20T21:38:18.1701458Z inflating: build/lib/torch/include/ATen/ops/polygamma_meta.h 2024-08-20T21:38:18.1701833Z inflating: build/lib/torch/include/ATen/ops/polygamma_meta_dispatch.h 2024-08-20T21:38:18.1702125Z inflating: build/lib/torch/include/ATen/ops/polygamma_native.h 2024-08-20T21:38:18.1702380Z inflating: build/lib/torch/include/ATen/ops/polygamma_ops.h 2024-08-20T21:38:18.1702608Z inflating: build/lib/torch/include/ATen/ops/positive.h 2024-08-20T21:38:18.1703126Z inflating: build/lib/torch/include/ATen/ops/positive_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1703396Z inflating: build/lib/torch/include/ATen/ops/positive_native.h 2024-08-20T21:38:18.1703653Z inflating: build/lib/torch/include/ATen/ops/positive_ops.h 2024-08-20T21:38:18.1703845Z inflating: build/lib/torch/include/ATen/ops/pow.h 2024-08-20T21:38:18.1704362Z inflating: build/lib/torch/include/ATen/ops/pow_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1704647Z inflating: build/lib/torch/include/ATen/ops/pow_cpu_dispatch.h 2024-08-20T21:38:18.1704924Z inflating: build/lib/torch/include/ATen/ops/pow_cuda_dispatch.h 2024-08-20T21:38:18.1705155Z inflating: build/lib/torch/include/ATen/ops/pow_meta.h 2024-08-20T21:38:18.1705433Z inflating: build/lib/torch/include/ATen/ops/pow_meta_dispatch.h 2024-08-20T21:38:18.1705660Z inflating: build/lib/torch/include/ATen/ops/pow_native.h 2024-08-20T21:38:18.1705886Z inflating: build/lib/torch/include/ATen/ops/pow_ops.h 2024-08-20T21:38:18.1706092Z inflating: build/lib/torch/include/ATen/ops/prelu.h 2024-08-20T21:38:18.1706528Z inflating: build/lib/torch/include/ATen/ops/prelu_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1706785Z inflating: build/lib/torch/include/ATen/ops/prelu_native.h 2024-08-20T21:38:18.1707009Z inflating: build/lib/torch/include/ATen/ops/prelu_ops.h 2024-08-20T21:38:18.1707199Z inflating: build/lib/torch/include/ATen/ops/prod.h 2024-08-20T21:38:18.1707642Z inflating: build/lib/torch/include/ATen/ops/prod_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1708166Z inflating: build/lib/torch/include/ATen/ops/prod_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1708606Z inflating: build/lib/torch/include/ATen/ops/prod_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1708884Z inflating: build/lib/torch/include/ATen/ops/prod_cpu_dispatch.h 2024-08-20T21:38:18.1709171Z inflating: build/lib/torch/include/ATen/ops/prod_cuda_dispatch.h 2024-08-20T21:38:18.1709408Z inflating: build/lib/torch/include/ATen/ops/prod_meta.h 2024-08-20T21:38:18.1709692Z inflating: build/lib/torch/include/ATen/ops/prod_meta_dispatch.h 2024-08-20T21:38:18.1709927Z inflating: build/lib/torch/include/ATen/ops/prod_native.h 2024-08-20T21:38:18.1710157Z inflating: build/lib/torch/include/ATen/ops/prod_ops.h 2024-08-20T21:38:18.1710447Z inflating: build/lib/torch/include/ATen/ops/promote_types.h 2024-08-20T21:38:18.1710967Z inflating: build/lib/torch/include/ATen/ops/promote_types_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1711263Z inflating: build/lib/torch/include/ATen/ops/promote_types_native.h 2024-08-20T21:38:18.1711543Z inflating: build/lib/torch/include/ATen/ops/promote_types_ops.h 2024-08-20T21:38:18.1711748Z inflating: build/lib/torch/include/ATen/ops/put.h 2024-08-20T21:38:18.1712173Z inflating: build/lib/torch/include/ATen/ops/put_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1712448Z inflating: build/lib/torch/include/ATen/ops/put_cpu_dispatch.h 2024-08-20T21:38:18.1712800Z inflating: build/lib/torch/include/ATen/ops/put_cuda_dispatch.h 2024-08-20T21:38:18.1713074Z inflating: build/lib/torch/include/ATen/ops/put_meta_dispatch.h 2024-08-20T21:38:18.1713298Z inflating: build/lib/torch/include/ATen/ops/put_native.h 2024-08-20T21:38:18.1713524Z inflating: build/lib/torch/include/ATen/ops/put_ops.h 2024-08-20T21:38:18.1713799Z inflating: build/lib/torch/include/ATen/ops/q_per_channel_axis.h 2024-08-20T21:38:18.1714184Z inflating: build/lib/torch/include/ATen/ops/q_per_channel_axis_native.h 2024-08-20T21:38:18.1714490Z inflating: build/lib/torch/include/ATen/ops/q_per_channel_axis_ops.h 2024-08-20T21:38:18.1714781Z inflating: build/lib/torch/include/ATen/ops/q_per_channel_scales.h 2024-08-20T21:38:18.1715306Z inflating: build/lib/torch/include/ATen/ops/q_per_channel_scales_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1715697Z inflating: build/lib/torch/include/ATen/ops/q_per_channel_scales_native.h 2024-08-20T21:38:18.1716023Z inflating: build/lib/torch/include/ATen/ops/q_per_channel_scales_ops.h 2024-08-20T21:38:18.1716357Z inflating: build/lib/torch/include/ATen/ops/q_per_channel_zero_points.h 2024-08-20T21:38:18.1716905Z inflating: build/lib/torch/include/ATen/ops/q_per_channel_zero_points_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1717285Z inflating: build/lib/torch/include/ATen/ops/q_per_channel_zero_points_native.h 2024-08-20T21:38:18.1717632Z inflating: build/lib/torch/include/ATen/ops/q_per_channel_zero_points_ops.h 2024-08-20T21:38:18.1717844Z inflating: build/lib/torch/include/ATen/ops/q_scale.h 2024-08-20T21:38:18.1718107Z inflating: build/lib/torch/include/ATen/ops/q_scale_native.h 2024-08-20T21:38:18.1718348Z inflating: build/lib/torch/include/ATen/ops/q_zero_point.h 2024-08-20T21:38:18.1718639Z inflating: build/lib/torch/include/ATen/ops/q_zero_point_native.h 2024-08-20T21:38:18.1718919Z inflating: build/lib/torch/include/ATen/ops/q_zero_point_ops.h 2024-08-20T21:38:18.1719106Z inflating: build/lib/torch/include/ATen/ops/qr.h 2024-08-20T21:38:18.1719523Z inflating: build/lib/torch/include/ATen/ops/qr_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1719757Z inflating: build/lib/torch/include/ATen/ops/qr_native.h 2024-08-20T21:38:18.1719964Z inflating: build/lib/torch/include/ATen/ops/qr_ops.h 2024-08-20T21:38:18.1720184Z inflating: build/lib/torch/include/ATen/ops/qscheme.h 2024-08-20T21:38:18.1720439Z inflating: build/lib/torch/include/ATen/ops/qscheme_native.h 2024-08-20T21:38:18.1720672Z inflating: build/lib/torch/include/ATen/ops/qscheme_ops.h 2024-08-20T21:38:18.1720899Z inflating: build/lib/torch/include/ATen/ops/quantile.h 2024-08-20T21:38:18.1721363Z inflating: build/lib/torch/include/ATen/ops/quantile_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1721629Z inflating: build/lib/torch/include/ATen/ops/quantile_native.h 2024-08-20T21:38:18.1721883Z inflating: build/lib/torch/include/ATen/ops/quantile_ops.h 2024-08-20T21:38:18.1722181Z inflating: build/lib/torch/include/ATen/ops/quantize_per_channel.h 2024-08-20T21:38:18.1722712Z inflating: build/lib/torch/include/ATen/ops/quantize_per_channel_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1723107Z inflating: build/lib/torch/include/ATen/ops/quantize_per_channel_cpu_dispatch.h 2024-08-20T21:38:18.1723498Z inflating: build/lib/torch/include/ATen/ops/quantize_per_channel_cuda_dispatch.h 2024-08-20T21:38:18.1723852Z inflating: build/lib/torch/include/ATen/ops/quantize_per_channel_native.h 2024-08-20T21:38:18.1724179Z inflating: build/lib/torch/include/ATen/ops/quantize_per_channel_ops.h 2024-08-20T21:38:18.1724466Z inflating: build/lib/torch/include/ATen/ops/quantize_per_tensor.h 2024-08-20T21:38:18.1725004Z inflating: build/lib/torch/include/ATen/ops/quantize_per_tensor_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1725454Z inflating: build/lib/torch/include/ATen/ops/quantize_per_tensor_cpu_dispatch.h 2024-08-20T21:38:18.1725997Z inflating: build/lib/torch/include/ATen/ops/quantize_per_tensor_cuda_dispatch.h 2024-08-20T21:38:18.1726354Z inflating: build/lib/torch/include/ATen/ops/quantize_per_tensor_dynamic.h 2024-08-20T21:38:18.1726929Z inflating: build/lib/torch/include/ATen/ops/quantize_per_tensor_dynamic_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1727368Z inflating: build/lib/torch/include/ATen/ops/quantize_per_tensor_dynamic_cpu_dispatch.h 2024-08-20T21:38:18.1727797Z inflating: build/lib/torch/include/ATen/ops/quantize_per_tensor_dynamic_cuda_dispatch.h 2024-08-20T21:38:18.1728182Z inflating: build/lib/torch/include/ATen/ops/quantize_per_tensor_dynamic_native.h 2024-08-20T21:38:18.1728565Z inflating: build/lib/torch/include/ATen/ops/quantize_per_tensor_dynamic_ops.h 2024-08-20T21:38:18.1729013Z inflating: build/lib/torch/include/ATen/ops/quantize_per_tensor_native.h 2024-08-20T21:38:18.1729338Z inflating: build/lib/torch/include/ATen/ops/quantize_per_tensor_ops.h 2024-08-20T21:38:18.1729649Z inflating: build/lib/torch/include/ATen/ops/quantized_batch_norm.h 2024-08-20T21:38:18.1730186Z inflating: build/lib/torch/include/ATen/ops/quantized_batch_norm_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1730544Z inflating: build/lib/torch/include/ATen/ops/quantized_batch_norm_native.h 2024-08-20T21:38:18.1730874Z inflating: build/lib/torch/include/ATen/ops/quantized_batch_norm_ops.h 2024-08-20T21:38:18.1731156Z inflating: build/lib/torch/include/ATen/ops/quantized_gru_cell.h 2024-08-20T21:38:18.1731695Z inflating: build/lib/torch/include/ATen/ops/quantized_gru_cell_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1732030Z inflating: build/lib/torch/include/ATen/ops/quantized_gru_cell_native.h 2024-08-20T21:38:18.1732340Z inflating: build/lib/torch/include/ATen/ops/quantized_gru_cell_ops.h 2024-08-20T21:38:18.1732643Z inflating: build/lib/torch/include/ATen/ops/quantized_lstm_cell.h 2024-08-20T21:38:18.1733172Z inflating: build/lib/torch/include/ATen/ops/quantized_lstm_cell_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1733522Z inflating: build/lib/torch/include/ATen/ops/quantized_lstm_cell_native.h 2024-08-20T21:38:18.1733838Z inflating: build/lib/torch/include/ATen/ops/quantized_lstm_cell_ops.h 2024-08-20T21:38:18.1734133Z inflating: build/lib/torch/include/ATen/ops/quantized_max_pool1d.h 2024-08-20T21:38:18.1734676Z inflating: build/lib/torch/include/ATen/ops/quantized_max_pool1d_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1735020Z inflating: build/lib/torch/include/ATen/ops/quantized_max_pool1d_native.h 2024-08-20T21:38:18.1735347Z inflating: build/lib/torch/include/ATen/ops/quantized_max_pool1d_ops.h 2024-08-20T21:38:18.1735654Z inflating: build/lib/torch/include/ATen/ops/quantized_max_pool2d.h 2024-08-20T21:38:18.1736190Z inflating: build/lib/torch/include/ATen/ops/quantized_max_pool2d_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1736546Z inflating: build/lib/torch/include/ATen/ops/quantized_max_pool2d_native.h 2024-08-20T21:38:18.1736875Z inflating: build/lib/torch/include/ATen/ops/quantized_max_pool2d_ops.h 2024-08-20T21:38:18.1737167Z inflating: build/lib/torch/include/ATen/ops/quantized_max_pool3d.h 2024-08-20T21:38:18.1737718Z inflating: build/lib/torch/include/ATen/ops/quantized_max_pool3d_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1738061Z inflating: build/lib/torch/include/ATen/ops/quantized_max_pool3d_native.h 2024-08-20T21:38:18.1738387Z inflating: build/lib/torch/include/ATen/ops/quantized_max_pool3d_ops.h 2024-08-20T21:38:18.1738712Z inflating: build/lib/torch/include/ATen/ops/quantized_rnn_relu_cell.h 2024-08-20T21:38:18.1739262Z inflating: build/lib/torch/include/ATen/ops/quantized_rnn_relu_cell_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1739630Z inflating: build/lib/torch/include/ATen/ops/quantized_rnn_relu_cell_native.h 2024-08-20T21:38:18.1740136Z inflating: build/lib/torch/include/ATen/ops/quantized_rnn_relu_cell_ops.h 2024-08-20T21:38:18.1740456Z inflating: build/lib/torch/include/ATen/ops/quantized_rnn_tanh_cell.h 2024-08-20T21:38:18.1741020Z inflating: build/lib/torch/include/ATen/ops/quantized_rnn_tanh_cell_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1741388Z inflating: build/lib/torch/include/ATen/ops/quantized_rnn_tanh_cell_native.h 2024-08-20T21:38:18.1741727Z inflating: build/lib/torch/include/ATen/ops/quantized_rnn_tanh_cell_ops.h 2024-08-20T21:38:18.1741954Z inflating: build/lib/torch/include/ATen/ops/rad2deg.h 2024-08-20T21:38:18.1742404Z inflating: build/lib/torch/include/ATen/ops/rad2deg_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1742662Z inflating: build/lib/torch/include/ATen/ops/rad2deg_native.h 2024-08-20T21:38:18.1742958Z inflating: build/lib/torch/include/ATen/ops/rad2deg_ops.h 2024-08-20T21:38:18.1743150Z inflating: build/lib/torch/include/ATen/ops/rand.h 2024-08-20T21:38:18.1743594Z inflating: build/lib/torch/include/ATen/ops/rand_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1744022Z inflating: build/lib/torch/include/ATen/ops/rand_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1744244Z inflating: build/lib/torch/include/ATen/ops/rand_like.h 2024-08-20T21:38:18.1744711Z inflating: build/lib/torch/include/ATen/ops/rand_like_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1744980Z inflating: build/lib/torch/include/ATen/ops/rand_like_native.h 2024-08-20T21:38:18.1745230Z inflating: build/lib/torch/include/ATen/ops/rand_like_ops.h 2024-08-20T21:38:18.1745470Z inflating: build/lib/torch/include/ATen/ops/rand_native.h 2024-08-20T21:38:18.1745694Z inflating: build/lib/torch/include/ATen/ops/rand_ops.h 2024-08-20T21:38:18.1745905Z inflating: build/lib/torch/include/ATen/ops/randint.h 2024-08-20T21:38:18.1746371Z inflating: build/lib/torch/include/ATen/ops/randint_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1746615Z inflating: build/lib/torch/include/ATen/ops/randint_like.h 2024-08-20T21:38:18.1747107Z inflating: build/lib/torch/include/ATen/ops/randint_like_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1747398Z inflating: build/lib/torch/include/ATen/ops/randint_like_native.h 2024-08-20T21:38:18.1747666Z inflating: build/lib/torch/include/ATen/ops/randint_like_ops.h 2024-08-20T21:38:18.1747934Z inflating: build/lib/torch/include/ATen/ops/randint_native.h 2024-08-20T21:38:18.1748164Z inflating: build/lib/torch/include/ATen/ops/randint_ops.h 2024-08-20T21:38:18.1748366Z inflating: build/lib/torch/include/ATen/ops/randn.h 2024-08-20T21:38:18.1748813Z inflating: build/lib/torch/include/ATen/ops/randn_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1749247Z inflating: build/lib/torch/include/ATen/ops/randn_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1749490Z inflating: build/lib/torch/include/ATen/ops/randn_like.h 2024-08-20T21:38:18.1749956Z inflating: build/lib/torch/include/ATen/ops/randn_like_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1750511Z inflating: build/lib/torch/include/ATen/ops/randn_like_compositeimplicitautogradnestedtensor_dispatch.h 2024-08-20T21:38:18.1750799Z inflating: build/lib/torch/include/ATen/ops/randn_like_native.h 2024-08-20T21:38:18.1751054Z inflating: build/lib/torch/include/ATen/ops/randn_like_ops.h 2024-08-20T21:38:18.1751294Z inflating: build/lib/torch/include/ATen/ops/randn_native.h 2024-08-20T21:38:18.1751525Z inflating: build/lib/torch/include/ATen/ops/randn_ops.h 2024-08-20T21:38:18.1751728Z inflating: build/lib/torch/include/ATen/ops/random.h 2024-08-20T21:38:18.1752170Z inflating: build/lib/torch/include/ATen/ops/random_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1752471Z inflating: build/lib/torch/include/ATen/ops/random_cpu_dispatch.h 2024-08-20T21:38:18.1752822Z inflating: build/lib/torch/include/ATen/ops/random_cuda_dispatch.h 2024-08-20T21:38:18.1753129Z inflating: build/lib/torch/include/ATen/ops/random_meta_dispatch.h 2024-08-20T21:38:18.1753384Z inflating: build/lib/torch/include/ATen/ops/random_native.h 2024-08-20T21:38:18.1753614Z inflating: build/lib/torch/include/ATen/ops/random_ops.h 2024-08-20T21:38:18.1753841Z inflating: build/lib/torch/include/ATen/ops/randperm.h 2024-08-20T21:38:18.1754302Z inflating: build/lib/torch/include/ATen/ops/randperm_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1754607Z inflating: build/lib/torch/include/ATen/ops/randperm_cpu_dispatch.h 2024-08-20T21:38:18.1754932Z inflating: build/lib/torch/include/ATen/ops/randperm_cuda_dispatch.h 2024-08-20T21:38:18.1755193Z inflating: build/lib/torch/include/ATen/ops/randperm_native.h 2024-08-20T21:38:18.1755432Z inflating: build/lib/torch/include/ATen/ops/randperm_ops.h 2024-08-20T21:38:18.1755698Z inflating: build/lib/torch/include/ATen/ops/range.h 2024-08-20T21:38:18.1756136Z inflating: build/lib/torch/include/ATen/ops/range_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1756431Z inflating: build/lib/torch/include/ATen/ops/range_cpu_dispatch.h 2024-08-20T21:38:18.1756713Z inflating: build/lib/torch/include/ATen/ops/range_cuda_dispatch.h 2024-08-20T21:38:18.1756992Z inflating: build/lib/torch/include/ATen/ops/range_meta_dispatch.h 2024-08-20T21:38:18.1757244Z inflating: build/lib/torch/include/ATen/ops/range_native.h 2024-08-20T21:38:18.1757467Z inflating: build/lib/torch/include/ATen/ops/range_ops.h 2024-08-20T21:38:18.1757667Z inflating: build/lib/torch/include/ATen/ops/ravel.h 2024-08-20T21:38:18.1758114Z inflating: build/lib/torch/include/ATen/ops/ravel_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1758354Z inflating: build/lib/torch/include/ATen/ops/ravel_native.h 2024-08-20T21:38:18.1758577Z inflating: build/lib/torch/include/ATen/ops/ravel_ops.h 2024-08-20T21:38:18.1758787Z inflating: build/lib/torch/include/ATen/ops/real.h 2024-08-20T21:38:18.1759218Z inflating: build/lib/torch/include/ATen/ops/real_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1759459Z inflating: build/lib/torch/include/ATen/ops/real_native.h 2024-08-20T21:38:18.1759672Z inflating: build/lib/torch/include/ATen/ops/real_ops.h 2024-08-20T21:38:18.1759900Z inflating: build/lib/torch/include/ATen/ops/reciprocal.h 2024-08-20T21:38:18.1760490Z inflating: build/lib/torch/include/ATen/ops/reciprocal_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1760810Z inflating: build/lib/torch/include/ATen/ops/reciprocal_cpu_dispatch.h 2024-08-20T21:38:18.1761139Z inflating: build/lib/torch/include/ATen/ops/reciprocal_cuda_dispatch.h 2024-08-20T21:38:18.1761411Z inflating: build/lib/torch/include/ATen/ops/reciprocal_meta.h 2024-08-20T21:38:18.1761739Z inflating: build/lib/torch/include/ATen/ops/reciprocal_meta_dispatch.h 2024-08-20T21:38:18.1762035Z inflating: build/lib/torch/include/ATen/ops/reciprocal_native.h 2024-08-20T21:38:18.1762297Z inflating: build/lib/torch/include/ATen/ops/reciprocal_ops.h 2024-08-20T21:38:18.1762546Z inflating: build/lib/torch/include/ATen/ops/record_stream.h 2024-08-20T21:38:18.1762898Z inflating: build/lib/torch/include/ATen/ops/record_stream_cuda_dispatch.h 2024-08-20T21:38:18.1763191Z inflating: build/lib/torch/include/ATen/ops/record_stream_native.h 2024-08-20T21:38:18.1763465Z inflating: build/lib/torch/include/ATen/ops/record_stream_ops.h 2024-08-20T21:38:18.1763715Z inflating: build/lib/torch/include/ATen/ops/refine_names.h 2024-08-20T21:38:18.1764289Z inflating: build/lib/torch/include/ATen/ops/refine_names_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1764579Z inflating: build/lib/torch/include/ATen/ops/refine_names_native.h 2024-08-20T21:38:18.1764861Z inflating: build/lib/torch/include/ATen/ops/refine_names_ops.h 2024-08-20T21:38:18.1765136Z inflating: build/lib/torch/include/ATen/ops/reflection_pad1d.h 2024-08-20T21:38:18.1765546Z inflating: build/lib/torch/include/ATen/ops/reflection_pad1d_backward.h 2024-08-20T21:38:18.1766244Z inflating: build/lib/torch/include/ATen/ops/reflection_pad1d_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1766660Z inflating: build/lib/torch/include/ATen/ops/reflection_pad1d_backward_cpu_dispatch.h 2024-08-20T21:38:18.1767091Z inflating: build/lib/torch/include/ATen/ops/reflection_pad1d_backward_cuda_dispatch.h 2024-08-20T21:38:18.1767455Z inflating: build/lib/torch/include/ATen/ops/reflection_pad1d_backward_meta.h 2024-08-20T21:38:18.1767888Z inflating: build/lib/torch/include/ATen/ops/reflection_pad1d_backward_meta_dispatch.h 2024-08-20T21:38:18.1768285Z inflating: build/lib/torch/include/ATen/ops/reflection_pad1d_backward_native.h 2024-08-20T21:38:18.1768638Z inflating: build/lib/torch/include/ATen/ops/reflection_pad1d_backward_ops.h 2024-08-20T21:38:18.1769336Z inflating: build/lib/torch/include/ATen/ops/reflection_pad1d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1769693Z inflating: build/lib/torch/include/ATen/ops/reflection_pad1d_cpu_dispatch.h 2024-08-20T21:38:18.1770059Z inflating: build/lib/torch/include/ATen/ops/reflection_pad1d_cuda_dispatch.h 2024-08-20T21:38:18.1770377Z inflating: build/lib/torch/include/ATen/ops/reflection_pad1d_meta.h 2024-08-20T21:38:18.1770739Z inflating: build/lib/torch/include/ATen/ops/reflection_pad1d_meta_dispatch.h 2024-08-20T21:38:18.1771059Z inflating: build/lib/torch/include/ATen/ops/reflection_pad1d_native.h 2024-08-20T21:38:18.1771365Z inflating: build/lib/torch/include/ATen/ops/reflection_pad1d_ops.h 2024-08-20T21:38:18.1771634Z inflating: build/lib/torch/include/ATen/ops/reflection_pad2d.h 2024-08-20T21:38:18.1771980Z inflating: build/lib/torch/include/ATen/ops/reflection_pad2d_backward.h 2024-08-20T21:38:18.1772397Z inflating: build/lib/torch/include/ATen/ops/reflection_pad2d_backward_cpu_dispatch.h 2024-08-20T21:38:18.1772824Z inflating: build/lib/torch/include/ATen/ops/reflection_pad2d_backward_cuda_dispatch.h 2024-08-20T21:38:18.1773216Z inflating: build/lib/torch/include/ATen/ops/reflection_pad2d_backward_native.h 2024-08-20T21:38:18.1773569Z inflating: build/lib/torch/include/ATen/ops/reflection_pad2d_backward_ops.h 2024-08-20T21:38:18.1773921Z inflating: build/lib/torch/include/ATen/ops/reflection_pad2d_cpu_dispatch.h 2024-08-20T21:38:18.1774297Z inflating: build/lib/torch/include/ATen/ops/reflection_pad2d_cuda_dispatch.h 2024-08-20T21:38:18.1774617Z inflating: build/lib/torch/include/ATen/ops/reflection_pad2d_native.h 2024-08-20T21:38:18.1774926Z inflating: build/lib/torch/include/ATen/ops/reflection_pad2d_ops.h 2024-08-20T21:38:18.1775200Z inflating: build/lib/torch/include/ATen/ops/reflection_pad3d.h 2024-08-20T21:38:18.1775533Z inflating: build/lib/torch/include/ATen/ops/reflection_pad3d_backward.h 2024-08-20T21:38:18.1776219Z inflating: build/lib/torch/include/ATen/ops/reflection_pad3d_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1776637Z inflating: build/lib/torch/include/ATen/ops/reflection_pad3d_backward_cpu_dispatch.h 2024-08-20T21:38:18.1777059Z inflating: build/lib/torch/include/ATen/ops/reflection_pad3d_backward_cuda_dispatch.h 2024-08-20T21:38:18.1777441Z inflating: build/lib/torch/include/ATen/ops/reflection_pad3d_backward_meta.h 2024-08-20T21:38:18.1777858Z inflating: build/lib/torch/include/ATen/ops/reflection_pad3d_backward_meta_dispatch.h 2024-08-20T21:38:18.1778236Z inflating: build/lib/torch/include/ATen/ops/reflection_pad3d_backward_native.h 2024-08-20T21:38:18.1778605Z inflating: build/lib/torch/include/ATen/ops/reflection_pad3d_backward_ops.h 2024-08-20T21:38:18.1779216Z inflating: build/lib/torch/include/ATen/ops/reflection_pad3d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1779585Z inflating: build/lib/torch/include/ATen/ops/reflection_pad3d_cpu_dispatch.h 2024-08-20T21:38:18.1780090Z inflating: build/lib/torch/include/ATen/ops/reflection_pad3d_cuda_dispatch.h 2024-08-20T21:38:18.1780394Z inflating: build/lib/torch/include/ATen/ops/reflection_pad3d_meta.h 2024-08-20T21:38:18.1780776Z inflating: build/lib/torch/include/ATen/ops/reflection_pad3d_meta_dispatch.h 2024-08-20T21:38:18.1781095Z inflating: build/lib/torch/include/ATen/ops/reflection_pad3d_native.h 2024-08-20T21:38:18.1781392Z inflating: build/lib/torch/include/ATen/ops/reflection_pad3d_ops.h 2024-08-20T21:38:18.1781597Z inflating: build/lib/torch/include/ATen/ops/relu.h 2024-08-20T21:38:18.1781876Z inflating: build/lib/torch/include/ATen/ops/relu6.h 2024-08-20T21:38:18.1782322Z inflating: build/lib/torch/include/ATen/ops/relu6_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1782561Z inflating: build/lib/torch/include/ATen/ops/relu6_native.h 2024-08-20T21:38:18.1782841Z inflating: build/lib/torch/include/ATen/ops/relu6_ops.h 2024-08-20T21:38:18.1783286Z inflating: build/lib/torch/include/ATen/ops/relu_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1783563Z inflating: build/lib/torch/include/ATen/ops/relu_cpu_dispatch.h 2024-08-20T21:38:18.1783842Z inflating: build/lib/torch/include/ATen/ops/relu_cuda_dispatch.h 2024-08-20T21:38:18.1784133Z inflating: build/lib/torch/include/ATen/ops/relu_meta_dispatch.h 2024-08-20T21:38:18.1784363Z inflating: build/lib/torch/include/ATen/ops/relu_native.h 2024-08-20T21:38:18.1784578Z inflating: build/lib/torch/include/ATen/ops/relu_ops.h 2024-08-20T21:38:18.1784813Z inflating: build/lib/torch/include/ATen/ops/remainder.h 2024-08-20T21:38:18.1785278Z inflating: build/lib/torch/include/ATen/ops/remainder_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1785864Z inflating: build/lib/torch/include/ATen/ops/remainder_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1786186Z inflating: build/lib/torch/include/ATen/ops/remainder_cpu_dispatch.h 2024-08-20T21:38:18.1786510Z inflating: build/lib/torch/include/ATen/ops/remainder_cuda_dispatch.h 2024-08-20T21:38:18.1786779Z inflating: build/lib/torch/include/ATen/ops/remainder_meta.h 2024-08-20T21:38:18.1787097Z inflating: build/lib/torch/include/ATen/ops/remainder_meta_dispatch.h 2024-08-20T21:38:18.1787369Z inflating: build/lib/torch/include/ATen/ops/remainder_native.h 2024-08-20T21:38:18.1787635Z inflating: build/lib/torch/include/ATen/ops/remainder_ops.h 2024-08-20T21:38:18.1787843Z inflating: build/lib/torch/include/ATen/ops/rename.h 2024-08-20T21:38:18.1788295Z inflating: build/lib/torch/include/ATen/ops/rename_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1788547Z inflating: build/lib/torch/include/ATen/ops/rename_native.h 2024-08-20T21:38:18.1788776Z inflating: build/lib/torch/include/ATen/ops/rename_ops.h 2024-08-20T21:38:18.1788999Z inflating: build/lib/torch/include/ATen/ops/renorm.h 2024-08-20T21:38:18.1789543Z inflating: build/lib/torch/include/ATen/ops/renorm_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1789831Z inflating: build/lib/torch/include/ATen/ops/renorm_cpu_dispatch.h 2024-08-20T21:38:18.1790140Z inflating: build/lib/torch/include/ATen/ops/renorm_cuda_dispatch.h 2024-08-20T21:38:18.1790370Z inflating: build/lib/torch/include/ATen/ops/renorm_meta.h 2024-08-20T21:38:18.1790666Z inflating: build/lib/torch/include/ATen/ops/renorm_meta_dispatch.h 2024-08-20T21:38:18.1790929Z inflating: build/lib/torch/include/ATen/ops/renorm_native.h 2024-08-20T21:38:18.1791160Z inflating: build/lib/torch/include/ATen/ops/renorm_ops.h 2024-08-20T21:38:18.1791442Z inflating: build/lib/torch/include/ATen/ops/repeat.h 2024-08-20T21:38:18.1791900Z inflating: build/lib/torch/include/ATen/ops/repeat_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1792180Z inflating: build/lib/torch/include/ATen/ops/repeat_interleave.h 2024-08-20T21:38:18.1792756Z inflating: build/lib/torch/include/ATen/ops/repeat_interleave_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1793280Z inflating: build/lib/torch/include/ATen/ops/repeat_interleave_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1793643Z inflating: build/lib/torch/include/ATen/ops/repeat_interleave_cpu_dispatch.h 2024-08-20T21:38:18.1794011Z inflating: build/lib/torch/include/ATen/ops/repeat_interleave_cuda_dispatch.h 2024-08-20T21:38:18.1794351Z inflating: build/lib/torch/include/ATen/ops/repeat_interleave_native.h 2024-08-20T21:38:18.1794678Z inflating: build/lib/torch/include/ATen/ops/repeat_interleave_ops.h 2024-08-20T21:38:18.1795159Z inflating: build/lib/torch/include/ATen/ops/repeat_native.h 2024-08-20T21:38:18.1795408Z inflating: build/lib/torch/include/ATen/ops/repeat_ops.h 2024-08-20T21:38:18.1795688Z inflating: build/lib/torch/include/ATen/ops/replication_pad1d.h 2024-08-20T21:38:18.1796140Z inflating: build/lib/torch/include/ATen/ops/replication_pad1d_backward.h 2024-08-20T21:38:18.1796824Z inflating: build/lib/torch/include/ATen/ops/replication_pad1d_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1797252Z inflating: build/lib/torch/include/ATen/ops/replication_pad1d_backward_cpu_dispatch.h 2024-08-20T21:38:18.1797696Z inflating: build/lib/torch/include/ATen/ops/replication_pad1d_backward_cuda_dispatch.h 2024-08-20T21:38:18.1798071Z inflating: build/lib/torch/include/ATen/ops/replication_pad1d_backward_meta.h 2024-08-20T21:38:18.1798512Z inflating: build/lib/torch/include/ATen/ops/replication_pad1d_backward_meta_dispatch.h 2024-08-20T21:38:18.1798900Z inflating: build/lib/torch/include/ATen/ops/replication_pad1d_backward_native.h 2024-08-20T21:38:18.1799266Z inflating: build/lib/torch/include/ATen/ops/replication_pad1d_backward_ops.h 2024-08-20T21:38:18.1799897Z inflating: build/lib/torch/include/ATen/ops/replication_pad1d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1800272Z inflating: build/lib/torch/include/ATen/ops/replication_pad1d_cpu_dispatch.h 2024-08-20T21:38:18.1800647Z inflating: build/lib/torch/include/ATen/ops/replication_pad1d_cuda_dispatch.h 2024-08-20T21:38:18.1800972Z inflating: build/lib/torch/include/ATen/ops/replication_pad1d_meta.h 2024-08-20T21:38:18.1801344Z inflating: build/lib/torch/include/ATen/ops/replication_pad1d_meta_dispatch.h 2024-08-20T21:38:18.1801688Z inflating: build/lib/torch/include/ATen/ops/replication_pad1d_native.h 2024-08-20T21:38:18.1801993Z inflating: build/lib/torch/include/ATen/ops/replication_pad1d_ops.h 2024-08-20T21:38:18.1802272Z inflating: build/lib/torch/include/ATen/ops/replication_pad2d.h 2024-08-20T21:38:18.1802625Z inflating: build/lib/torch/include/ATen/ops/replication_pad2d_backward.h 2024-08-20T21:38:18.1803050Z inflating: build/lib/torch/include/ATen/ops/replication_pad2d_backward_cpu_dispatch.h 2024-08-20T21:38:18.1803484Z inflating: build/lib/torch/include/ATen/ops/replication_pad2d_backward_cuda_dispatch.h 2024-08-20T21:38:18.1803884Z inflating: build/lib/torch/include/ATen/ops/replication_pad2d_backward_native.h 2024-08-20T21:38:18.1804251Z inflating: build/lib/torch/include/ATen/ops/replication_pad2d_backward_ops.h 2024-08-20T21:38:18.1804883Z inflating: build/lib/torch/include/ATen/ops/replication_pad2d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1805252Z inflating: build/lib/torch/include/ATen/ops/replication_pad2d_cpu_dispatch.h 2024-08-20T21:38:18.1805623Z inflating: build/lib/torch/include/ATen/ops/replication_pad2d_cuda_dispatch.h 2024-08-20T21:38:18.1805948Z inflating: build/lib/torch/include/ATen/ops/replication_pad2d_meta.h 2024-08-20T21:38:18.1806318Z inflating: build/lib/torch/include/ATen/ops/replication_pad2d_meta_dispatch.h 2024-08-20T21:38:18.1806648Z inflating: build/lib/torch/include/ATen/ops/replication_pad2d_native.h 2024-08-20T21:38:18.1806970Z inflating: build/lib/torch/include/ATen/ops/replication_pad2d_ops.h 2024-08-20T21:38:18.1807313Z inflating: build/lib/torch/include/ATen/ops/replication_pad3d.h 2024-08-20T21:38:18.1807654Z inflating: build/lib/torch/include/ATen/ops/replication_pad3d_backward.h 2024-08-20T21:38:18.1808089Z inflating: build/lib/torch/include/ATen/ops/replication_pad3d_backward_cpu_dispatch.h 2024-08-20T21:38:18.1808518Z inflating: build/lib/torch/include/ATen/ops/replication_pad3d_backward_cuda_dispatch.h 2024-08-20T21:38:18.1808913Z inflating: build/lib/torch/include/ATen/ops/replication_pad3d_backward_native.h 2024-08-20T21:38:18.1809277Z inflating: build/lib/torch/include/ATen/ops/replication_pad3d_backward_ops.h 2024-08-20T21:38:18.1809896Z inflating: build/lib/torch/include/ATen/ops/replication_pad3d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1810272Z inflating: build/lib/torch/include/ATen/ops/replication_pad3d_cpu_dispatch.h 2024-08-20T21:38:18.1810694Z inflating: build/lib/torch/include/ATen/ops/replication_pad3d_cuda_dispatch.h 2024-08-20T21:38:18.1811009Z inflating: build/lib/torch/include/ATen/ops/replication_pad3d_meta.h 2024-08-20T21:38:18.1811393Z inflating: build/lib/torch/include/ATen/ops/replication_pad3d_meta_dispatch.h 2024-08-20T21:38:18.1811722Z inflating: build/lib/torch/include/ATen/ops/replication_pad3d_native.h 2024-08-20T21:38:18.1812039Z inflating: build/lib/torch/include/ATen/ops/replication_pad3d_ops.h 2024-08-20T21:38:18.1812290Z inflating: build/lib/torch/include/ATen/ops/requires_grad.h 2024-08-20T21:38:18.1812780Z inflating: build/lib/torch/include/ATen/ops/requires_grad_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1813086Z inflating: build/lib/torch/include/ATen/ops/requires_grad_native.h 2024-08-20T21:38:18.1813362Z inflating: build/lib/torch/include/ATen/ops/requires_grad_ops.h 2024-08-20T21:38:18.1813576Z inflating: build/lib/torch/include/ATen/ops/reshape.h 2024-08-20T21:38:18.1813822Z inflating: build/lib/torch/include/ATen/ops/reshape_as.h 2024-08-20T21:38:18.1814293Z inflating: build/lib/torch/include/ATen/ops/reshape_as_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1814864Z inflating: build/lib/torch/include/ATen/ops/reshape_as_compositeimplicitautogradnestedtensor_dispatch.h 2024-08-20T21:38:18.1815144Z inflating: build/lib/torch/include/ATen/ops/reshape_as_native.h 2024-08-20T21:38:18.1815397Z inflating: build/lib/torch/include/ATen/ops/reshape_as_ops.h 2024-08-20T21:38:18.1815861Z inflating: build/lib/torch/include/ATen/ops/reshape_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1816404Z inflating: build/lib/torch/include/ATen/ops/reshape_compositeimplicitautogradnestedtensor_dispatch.h 2024-08-20T21:38:18.1816659Z inflating: build/lib/torch/include/ATen/ops/reshape_native.h 2024-08-20T21:38:18.1816903Z inflating: build/lib/torch/include/ATen/ops/reshape_ops.h 2024-08-20T21:38:18.1817114Z inflating: build/lib/torch/include/ATen/ops/resize.h 2024-08-20T21:38:18.1817335Z inflating: build/lib/torch/include/ATen/ops/resize_as.h 2024-08-20T21:38:18.1817811Z inflating: build/lib/torch/include/ATen/ops/resize_as_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1818077Z inflating: build/lib/torch/include/ATen/ops/resize_as_native.h 2024-08-20T21:38:18.1818336Z inflating: build/lib/torch/include/ATen/ops/resize_as_ops.h 2024-08-20T21:38:18.1818604Z inflating: build/lib/torch/include/ATen/ops/resize_as_sparse.h 2024-08-20T21:38:18.1819104Z inflating: build/lib/torch/include/ATen/ops/resize_as_sparse_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1819476Z inflating: build/lib/torch/include/ATen/ops/resize_as_sparse_meta_dispatch.h 2024-08-20T21:38:18.1819871Z inflating: build/lib/torch/include/ATen/ops/resize_as_sparse_native.h 2024-08-20T21:38:18.1820168Z inflating: build/lib/torch/include/ATen/ops/resize_as_sparse_ops.h 2024-08-20T21:38:18.1820631Z inflating: build/lib/torch/include/ATen/ops/resize_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1820972Z inflating: build/lib/torch/include/ATen/ops/resize_cpu_dispatch.h 2024-08-20T21:38:18.1821278Z inflating: build/lib/torch/include/ATen/ops/resize_cuda_dispatch.h 2024-08-20T21:38:18.1821570Z inflating: build/lib/torch/include/ATen/ops/resize_meta_dispatch.h 2024-08-20T21:38:18.1821820Z inflating: build/lib/torch/include/ATen/ops/resize_native.h 2024-08-20T21:38:18.1822058Z inflating: build/lib/torch/include/ATen/ops/resize_ops.h 2024-08-20T21:38:18.1822296Z inflating: build/lib/torch/include/ATen/ops/resolve_conj.h 2024-08-20T21:38:18.1822776Z inflating: build/lib/torch/include/ATen/ops/resolve_conj_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1823071Z inflating: build/lib/torch/include/ATen/ops/resolve_conj_native.h 2024-08-20T21:38:18.1823337Z inflating: build/lib/torch/include/ATen/ops/resolve_conj_ops.h 2024-08-20T21:38:18.1823618Z inflating: build/lib/torch/include/ATen/ops/resolve_neg.h 2024-08-20T21:38:18.1824111Z inflating: build/lib/torch/include/ATen/ops/resolve_neg_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1824389Z inflating: build/lib/torch/include/ATen/ops/resolve_neg_native.h 2024-08-20T21:38:18.1824658Z inflating: build/lib/torch/include/ATen/ops/resolve_neg_ops.h 2024-08-20T21:38:18.1824884Z inflating: build/lib/torch/include/ATen/ops/result_type.h 2024-08-20T21:38:18.1825353Z inflating: build/lib/torch/include/ATen/ops/result_type_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1825642Z inflating: build/lib/torch/include/ATen/ops/result_type_native.h 2024-08-20T21:38:18.1826095Z inflating: build/lib/torch/include/ATen/ops/result_type_ops.h 2024-08-20T21:38:18.1826324Z inflating: build/lib/torch/include/ATen/ops/retain_grad.h 2024-08-20T21:38:18.1826807Z inflating: build/lib/torch/include/ATen/ops/retain_grad_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1827092Z inflating: build/lib/torch/include/ATen/ops/retain_grad_native.h 2024-08-20T21:38:18.1827365Z inflating: build/lib/torch/include/ATen/ops/retain_grad_ops.h 2024-08-20T21:38:18.1827605Z inflating: build/lib/torch/include/ATen/ops/retains_grad.h 2024-08-20T21:38:18.1828082Z inflating: build/lib/torch/include/ATen/ops/retains_grad_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1828379Z inflating: build/lib/torch/include/ATen/ops/retains_grad_native.h 2024-08-20T21:38:18.1828645Z inflating: build/lib/torch/include/ATen/ops/retains_grad_ops.h 2024-08-20T21:38:18.1828857Z inflating: build/lib/torch/include/ATen/ops/rms_norm.h 2024-08-20T21:38:18.1829317Z inflating: build/lib/torch/include/ATen/ops/rms_norm_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1829575Z inflating: build/lib/torch/include/ATen/ops/rms_norm_native.h 2024-08-20T21:38:18.1829811Z inflating: build/lib/torch/include/ATen/ops/rms_norm_ops.h 2024-08-20T21:38:18.1830041Z inflating: build/lib/torch/include/ATen/ops/rnn_relu.h 2024-08-20T21:38:18.1830287Z inflating: build/lib/torch/include/ATen/ops/rnn_relu_cell.h 2024-08-20T21:38:18.1830779Z inflating: build/lib/torch/include/ATen/ops/rnn_relu_cell_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1831069Z inflating: build/lib/torch/include/ATen/ops/rnn_relu_cell_native.h 2024-08-20T21:38:18.1831342Z inflating: build/lib/torch/include/ATen/ops/rnn_relu_cell_ops.h 2024-08-20T21:38:18.1831806Z inflating: build/lib/torch/include/ATen/ops/rnn_relu_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1832062Z inflating: build/lib/torch/include/ATen/ops/rnn_relu_native.h 2024-08-20T21:38:18.1832297Z inflating: build/lib/torch/include/ATen/ops/rnn_relu_ops.h 2024-08-20T21:38:18.1832522Z inflating: build/lib/torch/include/ATen/ops/rnn_tanh.h 2024-08-20T21:38:18.1832771Z inflating: build/lib/torch/include/ATen/ops/rnn_tanh_cell.h 2024-08-20T21:38:18.1833244Z inflating: build/lib/torch/include/ATen/ops/rnn_tanh_cell_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1833654Z inflating: build/lib/torch/include/ATen/ops/rnn_tanh_cell_native.h 2024-08-20T21:38:18.1833928Z inflating: build/lib/torch/include/ATen/ops/rnn_tanh_cell_ops.h 2024-08-20T21:38:18.1834390Z inflating: build/lib/torch/include/ATen/ops/rnn_tanh_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1834645Z inflating: build/lib/torch/include/ATen/ops/rnn_tanh_native.h 2024-08-20T21:38:18.1834883Z inflating: build/lib/torch/include/ATen/ops/rnn_tanh_ops.h 2024-08-20T21:38:18.1835085Z inflating: build/lib/torch/include/ATen/ops/roll.h 2024-08-20T21:38:18.1835510Z inflating: build/lib/torch/include/ATen/ops/roll_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1835786Z inflating: build/lib/torch/include/ATen/ops/roll_cpu_dispatch.h 2024-08-20T21:38:18.1836080Z inflating: build/lib/torch/include/ATen/ops/roll_cuda_dispatch.h 2024-08-20T21:38:18.1836307Z inflating: build/lib/torch/include/ATen/ops/roll_native.h 2024-08-20T21:38:18.1836605Z inflating: build/lib/torch/include/ATen/ops/roll_ops.h 2024-08-20T21:38:18.1836812Z inflating: build/lib/torch/include/ATen/ops/rot90.h 2024-08-20T21:38:18.1837249Z inflating: build/lib/torch/include/ATen/ops/rot90_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1837500Z inflating: build/lib/torch/include/ATen/ops/rot90_native.h 2024-08-20T21:38:18.1837719Z inflating: build/lib/torch/include/ATen/ops/rot90_ops.h 2024-08-20T21:38:18.1837918Z inflating: build/lib/torch/include/ATen/ops/round.h 2024-08-20T21:38:18.1838469Z inflating: build/lib/torch/include/ATen/ops/round_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1838750Z inflating: build/lib/torch/include/ATen/ops/round_cpu_dispatch.h 2024-08-20T21:38:18.1839033Z inflating: build/lib/torch/include/ATen/ops/round_cuda_dispatch.h 2024-08-20T21:38:18.1839274Z inflating: build/lib/torch/include/ATen/ops/round_meta.h 2024-08-20T21:38:18.1839563Z inflating: build/lib/torch/include/ATen/ops/round_meta_dispatch.h 2024-08-20T21:38:18.1839815Z inflating: build/lib/torch/include/ATen/ops/round_native.h 2024-08-20T21:38:18.1840037Z inflating: build/lib/torch/include/ATen/ops/round_ops.h 2024-08-20T21:38:18.1840264Z inflating: build/lib/torch/include/ATen/ops/row_indices.h 2024-08-20T21:38:18.1840744Z inflating: build/lib/torch/include/ATen/ops/row_indices_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1841012Z inflating: build/lib/torch/include/ATen/ops/row_indices_copy.h 2024-08-20T21:38:18.1841511Z inflating: build/lib/torch/include/ATen/ops/row_indices_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1842211Z inflating: build/lib/torch/include/ATen/ops/row_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1842528Z inflating: build/lib/torch/include/ATen/ops/row_indices_copy_native.h 2024-08-20T21:38:18.1842835Z inflating: build/lib/torch/include/ATen/ops/row_indices_copy_ops.h 2024-08-20T21:38:18.1843119Z inflating: build/lib/torch/include/ATen/ops/row_indices_native.h 2024-08-20T21:38:18.1843382Z inflating: build/lib/torch/include/ATen/ops/row_indices_ops.h 2024-08-20T21:38:18.1843616Z inflating: build/lib/torch/include/ATen/ops/row_stack.h 2024-08-20T21:38:18.1844071Z inflating: build/lib/torch/include/ATen/ops/row_stack_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1844336Z inflating: build/lib/torch/include/ATen/ops/row_stack_native.h 2024-08-20T21:38:18.1844596Z inflating: build/lib/torch/include/ATen/ops/row_stack_ops.h 2024-08-20T21:38:18.1844797Z inflating: build/lib/torch/include/ATen/ops/rrelu.h 2024-08-20T21:38:18.1845231Z inflating: build/lib/torch/include/ATen/ops/rrelu_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1845480Z inflating: build/lib/torch/include/ATen/ops/rrelu_native.h 2024-08-20T21:38:18.1845699Z inflating: build/lib/torch/include/ATen/ops/rrelu_ops.h 2024-08-20T21:38:18.1845979Z inflating: build/lib/torch/include/ATen/ops/rrelu_with_noise.h 2024-08-20T21:38:18.1846382Z inflating: build/lib/torch/include/ATen/ops/rrelu_with_noise_backward.h 2024-08-20T21:38:18.1846939Z inflating: build/lib/torch/include/ATen/ops/rrelu_with_noise_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1847319Z inflating: build/lib/torch/include/ATen/ops/rrelu_with_noise_backward_native.h 2024-08-20T21:38:18.1847669Z inflating: build/lib/torch/include/ATen/ops/rrelu_with_noise_backward_ops.h 2024-08-20T21:38:18.1848019Z inflating: build/lib/torch/include/ATen/ops/rrelu_with_noise_cpu_dispatch.h 2024-08-20T21:38:18.1848390Z inflating: build/lib/torch/include/ATen/ops/rrelu_with_noise_cuda_dispatch.h 2024-08-20T21:38:18.1848747Z inflating: build/lib/torch/include/ATen/ops/rrelu_with_noise_meta_dispatch.h 2024-08-20T21:38:18.1849074Z inflating: build/lib/torch/include/ATen/ops/rrelu_with_noise_native.h 2024-08-20T21:38:18.1849421Z inflating: build/lib/torch/include/ATen/ops/rrelu_with_noise_ops.h 2024-08-20T21:38:18.1849627Z inflating: build/lib/torch/include/ATen/ops/rshift.h 2024-08-20T21:38:18.1850087Z inflating: build/lib/torch/include/ATen/ops/rshift_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1850372Z inflating: build/lib/torch/include/ATen/ops/rshift_cpu_dispatch.h 2024-08-20T21:38:18.1850664Z inflating: build/lib/torch/include/ATen/ops/rshift_cuda_dispatch.h 2024-08-20T21:38:18.1850965Z inflating: build/lib/torch/include/ATen/ops/rshift_meta_dispatch.h 2024-08-20T21:38:18.1851217Z inflating: build/lib/torch/include/ATen/ops/rshift_native.h 2024-08-20T21:38:18.1851444Z inflating: build/lib/torch/include/ATen/ops/rshift_ops.h 2024-08-20T21:38:18.1851656Z inflating: build/lib/torch/include/ATen/ops/rsqrt.h 2024-08-20T21:38:18.1852186Z inflating: build/lib/torch/include/ATen/ops/rsqrt_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1852481Z inflating: build/lib/torch/include/ATen/ops/rsqrt_cpu_dispatch.h 2024-08-20T21:38:18.1852767Z inflating: build/lib/torch/include/ATen/ops/rsqrt_cuda_dispatch.h 2024-08-20T21:38:18.1852994Z inflating: build/lib/torch/include/ATen/ops/rsqrt_meta.h 2024-08-20T21:38:18.1853291Z inflating: build/lib/torch/include/ATen/ops/rsqrt_meta_dispatch.h 2024-08-20T21:38:18.1853527Z inflating: build/lib/torch/include/ATen/ops/rsqrt_native.h 2024-08-20T21:38:18.1853748Z inflating: build/lib/torch/include/ATen/ops/rsqrt_ops.h 2024-08-20T21:38:18.1853948Z inflating: build/lib/torch/include/ATen/ops/rsub.h 2024-08-20T21:38:18.1854377Z inflating: build/lib/torch/include/ATen/ops/rsub_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1854651Z inflating: build/lib/torch/include/ATen/ops/rsub_cpu_dispatch.h 2024-08-20T21:38:18.1854941Z inflating: build/lib/torch/include/ATen/ops/rsub_cuda_dispatch.h 2024-08-20T21:38:18.1855168Z inflating: build/lib/torch/include/ATen/ops/rsub_native.h 2024-08-20T21:38:18.1855397Z inflating: build/lib/torch/include/ATen/ops/rsub_ops.h 2024-08-20T21:38:18.1855654Z inflating: build/lib/torch/include/ATen/ops/scalar_tensor.h 2024-08-20T21:38:18.1856145Z inflating: build/lib/torch/include/ATen/ops/scalar_tensor_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1856451Z inflating: build/lib/torch/include/ATen/ops/scalar_tensor_native.h 2024-08-20T21:38:18.1856726Z inflating: build/lib/torch/include/ATen/ops/scalar_tensor_ops.h 2024-08-20T21:38:18.1857075Z inflating: build/lib/torch/include/ATen/ops/scaled_dot_product_attention.h 2024-08-20T21:38:18.1857663Z inflating: build/lib/torch/include/ATen/ops/scaled_dot_product_attention_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1858057Z inflating: build/lib/torch/include/ATen/ops/scaled_dot_product_attention_native.h 2024-08-20T21:38:18.1858444Z inflating: build/lib/torch/include/ATen/ops/scaled_dot_product_attention_ops.h 2024-08-20T21:38:18.1858655Z inflating: build/lib/torch/include/ATen/ops/scatter.h 2024-08-20T21:38:18.1858888Z inflating: build/lib/torch/include/ATen/ops/scatter_add.h 2024-08-20T21:38:18.1859527Z inflating: build/lib/torch/include/ATen/ops/scatter_add_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1860091Z inflating: build/lib/torch/include/ATen/ops/scatter_add_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1860419Z inflating: build/lib/torch/include/ATen/ops/scatter_add_cpu_dispatch.h 2024-08-20T21:38:18.1860762Z inflating: build/lib/torch/include/ATen/ops/scatter_add_cuda_dispatch.h 2024-08-20T21:38:18.1861030Z inflating: build/lib/torch/include/ATen/ops/scatter_add_meta.h 2024-08-20T21:38:18.1861359Z inflating: build/lib/torch/include/ATen/ops/scatter_add_meta_dispatch.h 2024-08-20T21:38:18.1861654Z inflating: build/lib/torch/include/ATen/ops/scatter_add_native.h 2024-08-20T21:38:18.1861914Z inflating: build/lib/torch/include/ATen/ops/scatter_add_ops.h 2024-08-20T21:38:18.1862530Z inflating: build/lib/torch/include/ATen/ops/scatter_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1862985Z inflating: build/lib/torch/include/ATen/ops/scatter_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1863282Z inflating: build/lib/torch/include/ATen/ops/scatter_cpu_dispatch.h 2024-08-20T21:38:18.1863678Z inflating: build/lib/torch/include/ATen/ops/scatter_cuda_dispatch.h 2024-08-20T21:38:18.1863918Z inflating: build/lib/torch/include/ATen/ops/scatter_meta.h 2024-08-20T21:38:18.1864217Z inflating: build/lib/torch/include/ATen/ops/scatter_meta_dispatch.h 2024-08-20T21:38:18.1864488Z inflating: build/lib/torch/include/ATen/ops/scatter_native.h 2024-08-20T21:38:18.1864719Z inflating: build/lib/torch/include/ATen/ops/scatter_ops.h 2024-08-20T21:38:18.1864988Z inflating: build/lib/torch/include/ATen/ops/scatter_reduce.h 2024-08-20T21:38:18.1865581Z inflating: build/lib/torch/include/ATen/ops/scatter_reduce_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1865928Z inflating: build/lib/torch/include/ATen/ops/scatter_reduce_cpu_dispatch.h 2024-08-20T21:38:18.1866293Z inflating: build/lib/torch/include/ATen/ops/scatter_reduce_cuda_dispatch.h 2024-08-20T21:38:18.1866583Z inflating: build/lib/torch/include/ATen/ops/scatter_reduce_meta.h 2024-08-20T21:38:18.1866931Z inflating: build/lib/torch/include/ATen/ops/scatter_reduce_meta_dispatch.h 2024-08-20T21:38:18.1867244Z inflating: build/lib/torch/include/ATen/ops/scatter_reduce_native.h 2024-08-20T21:38:18.1867523Z inflating: build/lib/torch/include/ATen/ops/scatter_reduce_ops.h 2024-08-20T21:38:18.1867822Z inflating: build/lib/torch/include/ATen/ops/searchsorted.h 2024-08-20T21:38:18.1868175Z inflating: build/lib/torch/include/ATen/ops/searchsorted_cpu_dispatch.h 2024-08-20T21:38:18.1868516Z inflating: build/lib/torch/include/ATen/ops/searchsorted_cuda_dispatch.h 2024-08-20T21:38:18.1868816Z inflating: build/lib/torch/include/ATen/ops/searchsorted_native.h 2024-08-20T21:38:18.1869092Z inflating: build/lib/torch/include/ATen/ops/searchsorted_ops.h 2024-08-20T21:38:18.1869350Z inflating: build/lib/torch/include/ATen/ops/segment_reduce.h 2024-08-20T21:38:18.1869855Z inflating: build/lib/torch/include/ATen/ops/segment_reduce_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1870196Z inflating: build/lib/torch/include/ATen/ops/segment_reduce_cpu_dispatch.h 2024-08-20T21:38:18.1870543Z inflating: build/lib/torch/include/ATen/ops/segment_reduce_cuda_dispatch.h 2024-08-20T21:38:18.1870855Z inflating: build/lib/torch/include/ATen/ops/segment_reduce_native.h 2024-08-20T21:38:18.1871136Z inflating: build/lib/torch/include/ATen/ops/segment_reduce_ops.h 2024-08-20T21:38:18.1871353Z inflating: build/lib/torch/include/ATen/ops/select.h 2024-08-20T21:38:18.1871665Z inflating: build/lib/torch/include/ATen/ops/select_backward.h 2024-08-20T21:38:18.1872161Z inflating: build/lib/torch/include/ATen/ops/select_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1872838Z inflating: build/lib/torch/include/ATen/ops/select_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1873149Z inflating: build/lib/torch/include/ATen/ops/select_backward_native.h 2024-08-20T21:38:18.1873433Z inflating: build/lib/torch/include/ATen/ops/select_backward_ops.h 2024-08-20T21:38:18.1873886Z inflating: build/lib/torch/include/ATen/ops/select_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1874330Z inflating: build/lib/torch/include/ATen/ops/select_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1874571Z inflating: build/lib/torch/include/ATen/ops/select_copy.h 2024-08-20T21:38:18.1875046Z inflating: build/lib/torch/include/ATen/ops/select_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1875615Z inflating: build/lib/torch/include/ATen/ops/select_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1875908Z inflating: build/lib/torch/include/ATen/ops/select_copy_native.h 2024-08-20T21:38:18.1876222Z inflating: build/lib/torch/include/ATen/ops/select_copy_ops.h 2024-08-20T21:38:18.1876478Z inflating: build/lib/torch/include/ATen/ops/select_native.h 2024-08-20T21:38:18.1876714Z inflating: build/lib/torch/include/ATen/ops/select_ops.h 2024-08-20T21:38:18.1876966Z inflating: build/lib/torch/include/ATen/ops/select_scatter.h 2024-08-20T21:38:18.1877458Z inflating: build/lib/torch/include/ATen/ops/select_scatter_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1878059Z inflating: build/lib/torch/include/ATen/ops/select_scatter_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1878358Z inflating: build/lib/torch/include/ATen/ops/select_scatter_native.h 2024-08-20T21:38:18.1878648Z inflating: build/lib/torch/include/ATen/ops/select_scatter_ops.h 2024-08-20T21:38:18.1878839Z inflating: build/lib/torch/include/ATen/ops/selu.h 2024-08-20T21:38:18.1879264Z inflating: build/lib/torch/include/ATen/ops/selu_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1879511Z inflating: build/lib/torch/include/ATen/ops/selu_native.h 2024-08-20T21:38:18.1879727Z inflating: build/lib/torch/include/ATen/ops/selu_ops.h 2024-08-20T21:38:18.1879914Z inflating: build/lib/torch/include/ATen/ops/set.h 2024-08-20T21:38:18.1880343Z inflating: build/lib/torch/include/ATen/ops/set_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1880758Z inflating: build/lib/torch/include/ATen/ops/set_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1881036Z inflating: build/lib/torch/include/ATen/ops/set_cpu_dispatch.h 2024-08-20T21:38:18.1881309Z inflating: build/lib/torch/include/ATen/ops/set_cuda_dispatch.h 2024-08-20T21:38:18.1881519Z inflating: build/lib/torch/include/ATen/ops/set_data.h 2024-08-20T21:38:18.1881978Z inflating: build/lib/torch/include/ATen/ops/set_data_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1882737Z inflating: build/lib/torch/include/ATen/ops/set_data_native.h 2024-08-20T21:38:18.1882978Z inflating: build/lib/torch/include/ATen/ops/set_data_ops.h 2024-08-20T21:38:18.1883272Z inflating: build/lib/torch/include/ATen/ops/set_meta_dispatch.h 2024-08-20T21:38:18.1883497Z inflating: build/lib/torch/include/ATen/ops/set_native.h 2024-08-20T21:38:18.1883706Z inflating: build/lib/torch/include/ATen/ops/set_ops.h 2024-08-20T21:38:18.1883909Z inflating: build/lib/torch/include/ATen/ops/sgn.h 2024-08-20T21:38:18.1884431Z inflating: build/lib/torch/include/ATen/ops/sgn_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1884711Z inflating: build/lib/torch/include/ATen/ops/sgn_cpu_dispatch.h 2024-08-20T21:38:18.1884985Z inflating: build/lib/torch/include/ATen/ops/sgn_cuda_dispatch.h 2024-08-20T21:38:18.1885199Z inflating: build/lib/torch/include/ATen/ops/sgn_meta.h 2024-08-20T21:38:18.1885480Z inflating: build/lib/torch/include/ATen/ops/sgn_meta_dispatch.h 2024-08-20T21:38:18.1885711Z inflating: build/lib/torch/include/ATen/ops/sgn_native.h 2024-08-20T21:38:18.1885918Z inflating: build/lib/torch/include/ATen/ops/sgn_ops.h 2024-08-20T21:38:18.1886196Z inflating: build/lib/torch/include/ATen/ops/sigmoid.h 2024-08-20T21:38:18.1886468Z inflating: build/lib/torch/include/ATen/ops/sigmoid_backward.h 2024-08-20T21:38:18.1887069Z inflating: build/lib/torch/include/ATen/ops/sigmoid_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1887435Z inflating: build/lib/torch/include/ATen/ops/sigmoid_backward_cpu_dispatch.h 2024-08-20T21:38:18.1887795Z inflating: build/lib/torch/include/ATen/ops/sigmoid_backward_cuda_dispatch.h 2024-08-20T21:38:18.1888110Z inflating: build/lib/torch/include/ATen/ops/sigmoid_backward_meta.h 2024-08-20T21:38:18.1888467Z inflating: build/lib/torch/include/ATen/ops/sigmoid_backward_meta_dispatch.h 2024-08-20T21:38:18.1888784Z inflating: build/lib/torch/include/ATen/ops/sigmoid_backward_native.h 2024-08-20T21:38:18.1889162Z inflating: build/lib/torch/include/ATen/ops/sigmoid_backward_ops.h 2024-08-20T21:38:18.1889713Z inflating: build/lib/torch/include/ATen/ops/sigmoid_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1890007Z inflating: build/lib/torch/include/ATen/ops/sigmoid_cpu_dispatch.h 2024-08-20T21:38:18.1890322Z inflating: build/lib/torch/include/ATen/ops/sigmoid_cuda_dispatch.h 2024-08-20T21:38:18.1890560Z inflating: build/lib/torch/include/ATen/ops/sigmoid_meta.h 2024-08-20T21:38:18.1890866Z inflating: build/lib/torch/include/ATen/ops/sigmoid_meta_dispatch.h 2024-08-20T21:38:18.1891120Z inflating: build/lib/torch/include/ATen/ops/sigmoid_native.h 2024-08-20T21:38:18.1891350Z inflating: build/lib/torch/include/ATen/ops/sigmoid_ops.h 2024-08-20T21:38:18.1891554Z inflating: build/lib/torch/include/ATen/ops/sign.h 2024-08-20T21:38:18.1892079Z inflating: build/lib/torch/include/ATen/ops/sign_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1892364Z inflating: build/lib/torch/include/ATen/ops/sign_cpu_dispatch.h 2024-08-20T21:38:18.1892659Z inflating: build/lib/torch/include/ATen/ops/sign_cuda_dispatch.h 2024-08-20T21:38:18.1892880Z inflating: build/lib/torch/include/ATen/ops/sign_meta.h 2024-08-20T21:38:18.1893156Z inflating: build/lib/torch/include/ATen/ops/sign_meta_dispatch.h 2024-08-20T21:38:18.1893397Z inflating: build/lib/torch/include/ATen/ops/sign_native.h 2024-08-20T21:38:18.1893609Z inflating: build/lib/torch/include/ATen/ops/sign_ops.h 2024-08-20T21:38:18.1893830Z inflating: build/lib/torch/include/ATen/ops/signbit.h 2024-08-20T21:38:18.1894382Z inflating: build/lib/torch/include/ATen/ops/signbit_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1894676Z inflating: build/lib/torch/include/ATen/ops/signbit_cpu_dispatch.h 2024-08-20T21:38:18.1894989Z inflating: build/lib/torch/include/ATen/ops/signbit_cuda_dispatch.h 2024-08-20T21:38:18.1895226Z inflating: build/lib/torch/include/ATen/ops/signbit_meta.h 2024-08-20T21:38:18.1895530Z inflating: build/lib/torch/include/ATen/ops/signbit_meta_dispatch.h 2024-08-20T21:38:18.1895800Z inflating: build/lib/torch/include/ATen/ops/signbit_native.h 2024-08-20T21:38:18.1896030Z inflating: build/lib/torch/include/ATen/ops/signbit_ops.h 2024-08-20T21:38:18.1896225Z inflating: build/lib/torch/include/ATen/ops/silu.h 2024-08-20T21:38:18.1896490Z inflating: build/lib/torch/include/ATen/ops/silu_backward.h 2024-08-20T21:38:18.1897073Z inflating: build/lib/torch/include/ATen/ops/silu_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1897563Z inflating: build/lib/torch/include/ATen/ops/silu_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1897899Z inflating: build/lib/torch/include/ATen/ops/silu_backward_cpu_dispatch.h 2024-08-20T21:38:18.1898235Z inflating: build/lib/torch/include/ATen/ops/silu_backward_cuda_dispatch.h 2024-08-20T21:38:18.1898530Z inflating: build/lib/torch/include/ATen/ops/silu_backward_meta.h 2024-08-20T21:38:18.1898915Z inflating: build/lib/torch/include/ATen/ops/silu_backward_meta_dispatch.h 2024-08-20T21:38:18.1899208Z inflating: build/lib/torch/include/ATen/ops/silu_backward_native.h 2024-08-20T21:38:18.1899495Z inflating: build/lib/torch/include/ATen/ops/silu_backward_ops.h 2024-08-20T21:38:18.1900105Z inflating: build/lib/torch/include/ATen/ops/silu_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1900396Z inflating: build/lib/torch/include/ATen/ops/silu_cpu_dispatch.h 2024-08-20T21:38:18.1900674Z inflating: build/lib/torch/include/ATen/ops/silu_cuda_dispatch.h 2024-08-20T21:38:18.1900919Z inflating: build/lib/torch/include/ATen/ops/silu_meta.h 2024-08-20T21:38:18.1901213Z inflating: build/lib/torch/include/ATen/ops/silu_meta_dispatch.h 2024-08-20T21:38:18.1901439Z inflating: build/lib/torch/include/ATen/ops/silu_native.h 2024-08-20T21:38:18.1901654Z inflating: build/lib/torch/include/ATen/ops/silu_ops.h 2024-08-20T21:38:18.1901948Z inflating: build/lib/torch/include/ATen/ops/sin.h 2024-08-20T21:38:18.1902471Z inflating: build/lib/torch/include/ATen/ops/sin_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1902739Z inflating: build/lib/torch/include/ATen/ops/sin_cpu_dispatch.h 2024-08-20T21:38:18.1903026Z inflating: build/lib/torch/include/ATen/ops/sin_cuda_dispatch.h 2024-08-20T21:38:18.1903240Z inflating: build/lib/torch/include/ATen/ops/sin_meta.h 2024-08-20T21:38:18.1903526Z inflating: build/lib/torch/include/ATen/ops/sin_meta_dispatch.h 2024-08-20T21:38:18.1903752Z inflating: build/lib/torch/include/ATen/ops/sin_native.h 2024-08-20T21:38:18.1903961Z inflating: build/lib/torch/include/ATen/ops/sin_ops.h 2024-08-20T21:38:18.1904163Z inflating: build/lib/torch/include/ATen/ops/sinc.h 2024-08-20T21:38:18.1904691Z inflating: build/lib/torch/include/ATen/ops/sinc_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1904970Z inflating: build/lib/torch/include/ATen/ops/sinc_cpu_dispatch.h 2024-08-20T21:38:18.1905266Z inflating: build/lib/torch/include/ATen/ops/sinc_cuda_dispatch.h 2024-08-20T21:38:18.1905489Z inflating: build/lib/torch/include/ATen/ops/sinc_meta.h 2024-08-20T21:38:18.1905765Z inflating: build/lib/torch/include/ATen/ops/sinc_meta_dispatch.h 2024-08-20T21:38:18.1906005Z inflating: build/lib/torch/include/ATen/ops/sinc_native.h 2024-08-20T21:38:18.1906217Z inflating: build/lib/torch/include/ATen/ops/sinc_ops.h 2024-08-20T21:38:18.1906419Z inflating: build/lib/torch/include/ATen/ops/sinh.h 2024-08-20T21:38:18.1906944Z inflating: build/lib/torch/include/ATen/ops/sinh_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1907217Z inflating: build/lib/torch/include/ATen/ops/sinh_cpu_dispatch.h 2024-08-20T21:38:18.1907507Z inflating: build/lib/torch/include/ATen/ops/sinh_cuda_dispatch.h 2024-08-20T21:38:18.1907725Z inflating: build/lib/torch/include/ATen/ops/sinh_meta.h 2024-08-20T21:38:18.1908006Z inflating: build/lib/torch/include/ATen/ops/sinh_meta_dispatch.h 2024-08-20T21:38:18.1908249Z inflating: build/lib/torch/include/ATen/ops/sinh_native.h 2024-08-20T21:38:18.1908462Z inflating: build/lib/torch/include/ATen/ops/sinh_ops.h 2024-08-20T21:38:18.1908652Z inflating: build/lib/torch/include/ATen/ops/size.h 2024-08-20T21:38:18.1909093Z inflating: build/lib/torch/include/ATen/ops/size_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1909322Z inflating: build/lib/torch/include/ATen/ops/size_native.h 2024-08-20T21:38:18.1909544Z inflating: build/lib/torch/include/ATen/ops/size_ops.h 2024-08-20T21:38:18.1909744Z inflating: build/lib/torch/include/ATen/ops/slice.h 2024-08-20T21:38:18.1910001Z inflating: build/lib/torch/include/ATen/ops/slice_backward.h 2024-08-20T21:38:18.1910503Z inflating: build/lib/torch/include/ATen/ops/slice_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1910808Z inflating: build/lib/torch/include/ATen/ops/slice_backward_native.h 2024-08-20T21:38:18.1911138Z inflating: build/lib/torch/include/ATen/ops/slice_backward_ops.h 2024-08-20T21:38:18.1911589Z inflating: build/lib/torch/include/ATen/ops/slice_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1911814Z inflating: build/lib/torch/include/ATen/ops/slice_copy.h 2024-08-20T21:38:18.1912288Z inflating: build/lib/torch/include/ATen/ops/slice_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1912852Z inflating: build/lib/torch/include/ATen/ops/slice_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1913126Z inflating: build/lib/torch/include/ATen/ops/slice_copy_native.h 2024-08-20T21:38:18.1913393Z inflating: build/lib/torch/include/ATen/ops/slice_copy_ops.h 2024-08-20T21:38:18.1913642Z inflating: build/lib/torch/include/ATen/ops/slice_inverse.h 2024-08-20T21:38:18.1914121Z inflating: build/lib/torch/include/ATen/ops/slice_inverse_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1914478Z inflating: build/lib/torch/include/ATen/ops/slice_inverse_native.h 2024-08-20T21:38:18.1914758Z inflating: build/lib/torch/include/ATen/ops/slice_inverse_ops.h 2024-08-20T21:38:18.1914997Z inflating: build/lib/torch/include/ATen/ops/slice_native.h 2024-08-20T21:38:18.1915231Z inflating: build/lib/torch/include/ATen/ops/slice_ops.h 2024-08-20T21:38:18.1915480Z inflating: build/lib/torch/include/ATen/ops/slice_scatter.h 2024-08-20T21:38:18.1915975Z inflating: build/lib/torch/include/ATen/ops/slice_scatter_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1916557Z inflating: build/lib/torch/include/ATen/ops/slice_scatter_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1916848Z inflating: build/lib/torch/include/ATen/ops/slice_scatter_native.h 2024-08-20T21:38:18.1917136Z inflating: build/lib/torch/include/ATen/ops/slice_scatter_ops.h 2024-08-20T21:38:18.1917346Z inflating: build/lib/torch/include/ATen/ops/slogdet.h 2024-08-20T21:38:18.1917809Z inflating: build/lib/torch/include/ATen/ops/slogdet_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1918077Z inflating: build/lib/torch/include/ATen/ops/slogdet_native.h 2024-08-20T21:38:18.1918307Z inflating: build/lib/torch/include/ATen/ops/slogdet_ops.h 2024-08-20T21:38:18.1918546Z inflating: build/lib/torch/include/ATen/ops/slow_conv3d.h 2024-08-20T21:38:18.1919014Z inflating: build/lib/torch/include/ATen/ops/slow_conv3d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1919301Z inflating: build/lib/torch/include/ATen/ops/slow_conv3d_forward.h 2024-08-20T21:38:18.1919682Z inflating: build/lib/torch/include/ATen/ops/slow_conv3d_forward_cpu_dispatch.h 2024-08-20T21:38:18.1920013Z inflating: build/lib/torch/include/ATen/ops/slow_conv3d_forward_native.h 2024-08-20T21:38:18.1920323Z inflating: build/lib/torch/include/ATen/ops/slow_conv3d_forward_ops.h 2024-08-20T21:38:18.1920615Z inflating: build/lib/torch/include/ATen/ops/slow_conv3d_native.h 2024-08-20T21:38:18.1920878Z inflating: build/lib/torch/include/ATen/ops/slow_conv3d_ops.h 2024-08-20T21:38:18.1921163Z inflating: build/lib/torch/include/ATen/ops/slow_conv_dilated2d.h 2024-08-20T21:38:18.1921689Z inflating: build/lib/torch/include/ATen/ops/slow_conv_dilated2d_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1922058Z inflating: build/lib/torch/include/ATen/ops/slow_conv_dilated2d_cpu_dispatch.h 2024-08-20T21:38:18.1922466Z inflating: build/lib/torch/include/ATen/ops/slow_conv_dilated2d_cuda_dispatch.h 2024-08-20T21:38:18.1922801Z inflating: build/lib/torch/include/ATen/ops/slow_conv_dilated2d_native.h 2024-08-20T21:38:18.1923114Z inflating: build/lib/torch/include/ATen/ops/slow_conv_dilated2d_ops.h 2024-08-20T21:38:18.1923408Z inflating: build/lib/torch/include/ATen/ops/slow_conv_dilated3d.h 2024-08-20T21:38:18.1923926Z inflating: build/lib/torch/include/ATen/ops/slow_conv_dilated3d_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1924302Z inflating: build/lib/torch/include/ATen/ops/slow_conv_dilated3d_cpu_dispatch.h 2024-08-20T21:38:18.1924846Z inflating: build/lib/torch/include/ATen/ops/slow_conv_dilated3d_cuda_dispatch.h 2024-08-20T21:38:18.1925183Z inflating: build/lib/torch/include/ATen/ops/slow_conv_dilated3d_native.h 2024-08-20T21:38:18.1925514Z inflating: build/lib/torch/include/ATen/ops/slow_conv_dilated3d_ops.h 2024-08-20T21:38:18.1925964Z inflating: build/lib/torch/include/ATen/ops/slow_conv_transpose2d.h 2024-08-20T21:38:18.1926593Z inflating: build/lib/torch/include/ATen/ops/slow_conv_transpose2d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1926993Z inflating: build/lib/torch/include/ATen/ops/slow_conv_transpose2d_cpu_dispatch.h 2024-08-20T21:38:18.1927382Z inflating: build/lib/torch/include/ATen/ops/slow_conv_transpose2d_cuda_dispatch.h 2024-08-20T21:38:18.1927714Z inflating: build/lib/torch/include/ATen/ops/slow_conv_transpose2d_meta.h 2024-08-20T21:38:18.1928226Z inflating: build/lib/torch/include/ATen/ops/slow_conv_transpose2d_meta_dispatch.h 2024-08-20T21:38:18.1928578Z inflating: build/lib/torch/include/ATen/ops/slow_conv_transpose2d_native.h 2024-08-20T21:38:18.1928921Z inflating: build/lib/torch/include/ATen/ops/slow_conv_transpose2d_ops.h 2024-08-20T21:38:18.1929221Z inflating: build/lib/torch/include/ATen/ops/slow_conv_transpose3d.h 2024-08-20T21:38:18.1929599Z inflating: build/lib/torch/include/ATen/ops/slow_conv_transpose3d_cpu_dispatch.h 2024-08-20T21:38:18.1929997Z inflating: build/lib/torch/include/ATen/ops/slow_conv_transpose3d_cuda_dispatch.h 2024-08-20T21:38:18.1930342Z inflating: build/lib/torch/include/ATen/ops/slow_conv_transpose3d_native.h 2024-08-20T21:38:18.1930669Z inflating: build/lib/torch/include/ATen/ops/slow_conv_transpose3d_ops.h 2024-08-20T21:38:18.1930871Z inflating: build/lib/torch/include/ATen/ops/smm.h 2024-08-20T21:38:18.1931292Z inflating: build/lib/torch/include/ATen/ops/smm_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1931541Z inflating: build/lib/torch/include/ATen/ops/smm_native.h 2024-08-20T21:38:18.1931752Z inflating: build/lib/torch/include/ATen/ops/smm_ops.h 2024-08-20T21:38:18.1932004Z inflating: build/lib/torch/include/ATen/ops/smooth_l1_loss.h 2024-08-20T21:38:18.1932330Z inflating: build/lib/torch/include/ATen/ops/smooth_l1_loss_backward.h 2024-08-20T21:38:18.1932874Z inflating: build/lib/torch/include/ATen/ops/smooth_l1_loss_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1933267Z inflating: build/lib/torch/include/ATen/ops/smooth_l1_loss_backward_cpu_dispatch.h 2024-08-20T21:38:18.1933675Z inflating: build/lib/torch/include/ATen/ops/smooth_l1_loss_backward_cuda_dispatch.h 2024-08-20T21:38:18.1934031Z inflating: build/lib/torch/include/ATen/ops/smooth_l1_loss_backward_native.h 2024-08-20T21:38:18.1934368Z inflating: build/lib/torch/include/ATen/ops/smooth_l1_loss_backward_ops.h 2024-08-20T21:38:18.1934971Z inflating: build/lib/torch/include/ATen/ops/smooth_l1_loss_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1935313Z inflating: build/lib/torch/include/ATen/ops/smooth_l1_loss_cpu_dispatch.h 2024-08-20T21:38:18.1935670Z inflating: build/lib/torch/include/ATen/ops/smooth_l1_loss_cuda_dispatch.h 2024-08-20T21:38:18.1935952Z inflating: build/lib/torch/include/ATen/ops/smooth_l1_loss_meta.h 2024-08-20T21:38:18.1936295Z inflating: build/lib/torch/include/ATen/ops/smooth_l1_loss_meta_dispatch.h 2024-08-20T21:38:18.1936601Z inflating: build/lib/torch/include/ATen/ops/smooth_l1_loss_native.h 2024-08-20T21:38:18.1936879Z inflating: build/lib/torch/include/ATen/ops/smooth_l1_loss_ops.h 2024-08-20T21:38:18.1937148Z inflating: build/lib/torch/include/ATen/ops/soft_margin_loss.h 2024-08-20T21:38:18.1937484Z inflating: build/lib/torch/include/ATen/ops/soft_margin_loss_backward.h 2024-08-20T21:38:18.1938037Z inflating: build/lib/torch/include/ATen/ops/soft_margin_loss_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1938494Z inflating: build/lib/torch/include/ATen/ops/soft_margin_loss_backward_native.h 2024-08-20T21:38:18.1938845Z inflating: build/lib/torch/include/ATen/ops/soft_margin_loss_backward_ops.h 2024-08-20T21:38:18.1939349Z inflating: build/lib/torch/include/ATen/ops/soft_margin_loss_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1939673Z inflating: build/lib/torch/include/ATen/ops/soft_margin_loss_native.h 2024-08-20T21:38:18.1940033Z inflating: build/lib/torch/include/ATen/ops/soft_margin_loss_ops.h 2024-08-20T21:38:18.1940246Z inflating: build/lib/torch/include/ATen/ops/softmax.h 2024-08-20T21:38:18.1940709Z inflating: build/lib/torch/include/ATen/ops/softmax_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1941157Z inflating: build/lib/torch/include/ATen/ops/softmax_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1941428Z inflating: build/lib/torch/include/ATen/ops/softmax_native.h 2024-08-20T21:38:18.1941737Z inflating: build/lib/torch/include/ATen/ops/softmax_ops.h 2024-08-20T21:38:18.1941956Z inflating: build/lib/torch/include/ATen/ops/softplus.h 2024-08-20T21:38:18.1942247Z inflating: build/lib/torch/include/ATen/ops/softplus_backward.h 2024-08-20T21:38:18.1942940Z inflating: build/lib/torch/include/ATen/ops/softplus_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1943303Z inflating: build/lib/torch/include/ATen/ops/softplus_backward_cpu_dispatch.h 2024-08-20T21:38:18.1943685Z inflating: build/lib/torch/include/ATen/ops/softplus_backward_cuda_dispatch.h 2024-08-20T21:38:18.1943994Z inflating: build/lib/torch/include/ATen/ops/softplus_backward_meta.h 2024-08-20T21:38:18.1944360Z inflating: build/lib/torch/include/ATen/ops/softplus_backward_meta_dispatch.h 2024-08-20T21:38:18.1944703Z inflating: build/lib/torch/include/ATen/ops/softplus_backward_native.h 2024-08-20T21:38:18.1945013Z inflating: build/lib/torch/include/ATen/ops/softplus_backward_ops.h 2024-08-20T21:38:18.1945586Z inflating: build/lib/torch/include/ATen/ops/softplus_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1945891Z inflating: build/lib/torch/include/ATen/ops/softplus_cpu_dispatch.h 2024-08-20T21:38:18.1946201Z inflating: build/lib/torch/include/ATen/ops/softplus_cuda_dispatch.h 2024-08-20T21:38:18.1946466Z inflating: build/lib/torch/include/ATen/ops/softplus_meta.h 2024-08-20T21:38:18.1946774Z inflating: build/lib/torch/include/ATen/ops/softplus_meta_dispatch.h 2024-08-20T21:38:18.1947037Z inflating: build/lib/torch/include/ATen/ops/softplus_native.h 2024-08-20T21:38:18.1947287Z inflating: build/lib/torch/include/ATen/ops/softplus_ops.h 2024-08-20T21:38:18.1947515Z inflating: build/lib/torch/include/ATen/ops/softshrink.h 2024-08-20T21:38:18.1947815Z inflating: build/lib/torch/include/ATen/ops/softshrink_backward.h 2024-08-20T21:38:18.1948451Z inflating: build/lib/torch/include/ATen/ops/softshrink_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1948832Z inflating: build/lib/torch/include/ATen/ops/softshrink_backward_cpu_dispatch.h 2024-08-20T21:38:18.1949225Z inflating: build/lib/torch/include/ATen/ops/softshrink_backward_cuda_dispatch.h 2024-08-20T21:38:18.1949551Z inflating: build/lib/torch/include/ATen/ops/softshrink_backward_meta.h 2024-08-20T21:38:18.1949934Z inflating: build/lib/torch/include/ATen/ops/softshrink_backward_meta_dispatch.h 2024-08-20T21:38:18.1950286Z inflating: build/lib/torch/include/ATen/ops/softshrink_backward_native.h 2024-08-20T21:38:18.1950606Z inflating: build/lib/torch/include/ATen/ops/softshrink_backward_ops.h 2024-08-20T21:38:18.1951179Z inflating: build/lib/torch/include/ATen/ops/softshrink_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1951509Z inflating: build/lib/torch/include/ATen/ops/softshrink_cpu_dispatch.h 2024-08-20T21:38:18.1951838Z inflating: build/lib/torch/include/ATen/ops/softshrink_cuda_dispatch.h 2024-08-20T21:38:18.1952172Z inflating: build/lib/torch/include/ATen/ops/softshrink_meta.h 2024-08-20T21:38:18.1952499Z inflating: build/lib/torch/include/ATen/ops/softshrink_meta_dispatch.h 2024-08-20T21:38:18.1952778Z inflating: build/lib/torch/include/ATen/ops/softshrink_native.h 2024-08-20T21:38:18.1953046Z inflating: build/lib/torch/include/ATen/ops/softshrink_ops.h 2024-08-20T21:38:18.1953236Z inflating: build/lib/torch/include/ATen/ops/sort.h 2024-08-20T21:38:18.1953667Z inflating: build/lib/torch/include/ATen/ops/sort_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1954205Z inflating: build/lib/torch/include/ATen/ops/sort_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1954633Z inflating: build/lib/torch/include/ATen/ops/sort_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1954920Z inflating: build/lib/torch/include/ATen/ops/sort_cpu_dispatch.h 2024-08-20T21:38:18.1955256Z inflating: build/lib/torch/include/ATen/ops/sort_cuda_dispatch.h 2024-08-20T21:38:18.1955480Z inflating: build/lib/torch/include/ATen/ops/sort_meta.h 2024-08-20T21:38:18.1955771Z inflating: build/lib/torch/include/ATen/ops/sort_meta_dispatch.h 2024-08-20T21:38:18.1955999Z inflating: build/lib/torch/include/ATen/ops/sort_native.h 2024-08-20T21:38:18.1956212Z inflating: build/lib/torch/include/ATen/ops/sort_ops.h 2024-08-20T21:38:18.1956498Z inflating: build/lib/torch/include/ATen/ops/sparse_bsc_tensor.h 2024-08-20T21:38:18.1957005Z inflating: build/lib/torch/include/ATen/ops/sparse_bsc_tensor_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1957331Z inflating: build/lib/torch/include/ATen/ops/sparse_bsc_tensor_native.h 2024-08-20T21:38:18.1957642Z inflating: build/lib/torch/include/ATen/ops/sparse_bsc_tensor_ops.h 2024-08-20T21:38:18.1957917Z inflating: build/lib/torch/include/ATen/ops/sparse_bsr_tensor.h 2024-08-20T21:38:18.1958441Z inflating: build/lib/torch/include/ATen/ops/sparse_bsr_tensor_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1958767Z inflating: build/lib/torch/include/ATen/ops/sparse_bsr_tensor_native.h 2024-08-20T21:38:18.1959068Z inflating: build/lib/torch/include/ATen/ops/sparse_bsr_tensor_ops.h 2024-08-20T21:38:18.1959406Z inflating: build/lib/torch/include/ATen/ops/sparse_compressed_tensor.h 2024-08-20T21:38:18.1959957Z inflating: build/lib/torch/include/ATen/ops/sparse_compressed_tensor_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1960326Z inflating: build/lib/torch/include/ATen/ops/sparse_compressed_tensor_native.h 2024-08-20T21:38:18.1960684Z inflating: build/lib/torch/include/ATen/ops/sparse_compressed_tensor_ops.h 2024-08-20T21:38:18.1960960Z inflating: build/lib/torch/include/ATen/ops/sparse_coo_tensor.h 2024-08-20T21:38:18.1961482Z inflating: build/lib/torch/include/ATen/ops/sparse_coo_tensor_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1961993Z inflating: build/lib/torch/include/ATen/ops/sparse_coo_tensor_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1962321Z inflating: build/lib/torch/include/ATen/ops/sparse_coo_tensor_native.h 2024-08-20T21:38:18.1962632Z inflating: build/lib/torch/include/ATen/ops/sparse_coo_tensor_ops.h 2024-08-20T21:38:18.1962907Z inflating: build/lib/torch/include/ATen/ops/sparse_csc_tensor.h 2024-08-20T21:38:18.1963411Z inflating: build/lib/torch/include/ATen/ops/sparse_csc_tensor_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1963745Z inflating: build/lib/torch/include/ATen/ops/sparse_csc_tensor_native.h 2024-08-20T21:38:18.1964041Z inflating: build/lib/torch/include/ATen/ops/sparse_csc_tensor_ops.h 2024-08-20T21:38:18.1964332Z inflating: build/lib/torch/include/ATen/ops/sparse_csr_tensor.h 2024-08-20T21:38:18.1964841Z inflating: build/lib/torch/include/ATen/ops/sparse_csr_tensor_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.1965160Z inflating: build/lib/torch/include/ATen/ops/sparse_csr_tensor_native.h 2024-08-20T21:38:18.1965475Z inflating: build/lib/torch/include/ATen/ops/sparse_csr_tensor_ops.h 2024-08-20T21:38:18.1965751Z inflating: build/lib/torch/include/ATen/ops/sparse_dim.h 2024-08-20T21:38:18.1966220Z inflating: build/lib/torch/include/ATen/ops/sparse_dim_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1966509Z inflating: build/lib/torch/include/ATen/ops/sparse_dim_native.h 2024-08-20T21:38:18.1966762Z inflating: build/lib/torch/include/ATen/ops/sparse_dim_ops.h 2024-08-20T21:38:18.1966992Z inflating: build/lib/torch/include/ATen/ops/sparse_mask.h 2024-08-20T21:38:18.1967478Z inflating: build/lib/torch/include/ATen/ops/sparse_mask_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1967758Z inflating: build/lib/torch/include/ATen/ops/sparse_mask_native.h 2024-08-20T21:38:18.1968031Z inflating: build/lib/torch/include/ATen/ops/sparse_mask_ops.h 2024-08-20T21:38:18.1968283Z inflating: build/lib/torch/include/ATen/ops/sparse_resize.h 2024-08-20T21:38:18.1968652Z inflating: build/lib/torch/include/ATen/ops/sparse_resize_and_clear.h 2024-08-20T21:38:18.1969210Z inflating: build/lib/torch/include/ATen/ops/sparse_resize_and_clear_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1969610Z inflating: build/lib/torch/include/ATen/ops/sparse_resize_and_clear_meta_dispatch.h 2024-08-20T21:38:18.1969969Z inflating: build/lib/torch/include/ATen/ops/sparse_resize_and_clear_native.h 2024-08-20T21:38:18.1970319Z inflating: build/lib/torch/include/ATen/ops/sparse_resize_and_clear_ops.h 2024-08-20T21:38:18.1970806Z inflating: build/lib/torch/include/ATen/ops/sparse_resize_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1971156Z inflating: build/lib/torch/include/ATen/ops/sparse_resize_meta_dispatch.h 2024-08-20T21:38:18.1971449Z inflating: build/lib/torch/include/ATen/ops/sparse_resize_native.h 2024-08-20T21:38:18.1971725Z inflating: build/lib/torch/include/ATen/ops/sparse_resize_ops.h 2024-08-20T21:38:18.1972036Z inflating: build/lib/torch/include/ATen/ops/sparse_sampled_addmm.h 2024-08-20T21:38:18.1972379Z inflating: build/lib/torch/include/ATen/ops/sparse_sampled_addmm_native.h 2024-08-20T21:38:18.1972704Z inflating: build/lib/torch/include/ATen/ops/sparse_sampled_addmm_ops.h 2024-08-20T21:38:18.1972976Z inflating: build/lib/torch/include/ATen/ops/special_airy_ai.h 2024-08-20T21:38:18.1973575Z inflating: build/lib/torch/include/ATen/ops/special_airy_ai_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1973934Z inflating: build/lib/torch/include/ATen/ops/special_airy_ai_cpu_dispatch.h 2024-08-20T21:38:18.1974285Z inflating: build/lib/torch/include/ATen/ops/special_airy_ai_cuda_dispatch.h 2024-08-20T21:38:18.1974578Z inflating: build/lib/torch/include/ATen/ops/special_airy_ai_meta.h 2024-08-20T21:38:18.1974940Z inflating: build/lib/torch/include/ATen/ops/special_airy_ai_meta_dispatch.h 2024-08-20T21:38:18.1975253Z inflating: build/lib/torch/include/ATen/ops/special_airy_ai_native.h 2024-08-20T21:38:18.1975542Z inflating: build/lib/torch/include/ATen/ops/special_airy_ai_ops.h 2024-08-20T21:38:18.1975831Z inflating: build/lib/torch/include/ATen/ops/special_bessel_j0.h 2024-08-20T21:38:18.1976445Z inflating: build/lib/torch/include/ATen/ops/special_bessel_j0_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1976807Z inflating: build/lib/torch/include/ATen/ops/special_bessel_j0_cpu_dispatch.h 2024-08-20T21:38:18.1977186Z inflating: build/lib/torch/include/ATen/ops/special_bessel_j0_cuda_dispatch.h 2024-08-20T21:38:18.1977497Z inflating: build/lib/torch/include/ATen/ops/special_bessel_j0_meta.h 2024-08-20T21:38:18.1977874Z inflating: build/lib/torch/include/ATen/ops/special_bessel_j0_meta_dispatch.h 2024-08-20T21:38:18.1978197Z inflating: build/lib/torch/include/ATen/ops/special_bessel_j0_native.h 2024-08-20T21:38:18.1978494Z inflating: build/lib/torch/include/ATen/ops/special_bessel_j0_ops.h 2024-08-20T21:38:18.1978786Z inflating: build/lib/torch/include/ATen/ops/special_bessel_j1.h 2024-08-20T21:38:18.1979441Z inflating: build/lib/torch/include/ATen/ops/special_bessel_j1_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1979875Z inflating: build/lib/torch/include/ATen/ops/special_bessel_j1_cpu_dispatch.h 2024-08-20T21:38:18.1980258Z inflating: build/lib/torch/include/ATen/ops/special_bessel_j1_cuda_dispatch.h 2024-08-20T21:38:18.1980565Z inflating: build/lib/torch/include/ATen/ops/special_bessel_j1_meta.h 2024-08-20T21:38:18.1980944Z inflating: build/lib/torch/include/ATen/ops/special_bessel_j1_meta_dispatch.h 2024-08-20T21:38:18.1981265Z inflating: build/lib/torch/include/ATen/ops/special_bessel_j1_native.h 2024-08-20T21:38:18.1981567Z inflating: build/lib/torch/include/ATen/ops/special_bessel_j1_ops.h 2024-08-20T21:38:18.1981857Z inflating: build/lib/torch/include/ATen/ops/special_bessel_y0.h 2024-08-20T21:38:18.1982516Z inflating: build/lib/torch/include/ATen/ops/special_bessel_y0_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1982881Z inflating: build/lib/torch/include/ATen/ops/special_bessel_y0_cpu_dispatch.h 2024-08-20T21:38:18.1983259Z inflating: build/lib/torch/include/ATen/ops/special_bessel_y0_cuda_dispatch.h 2024-08-20T21:38:18.1983569Z inflating: build/lib/torch/include/ATen/ops/special_bessel_y0_meta.h 2024-08-20T21:38:18.1983951Z inflating: build/lib/torch/include/ATen/ops/special_bessel_y0_meta_dispatch.h 2024-08-20T21:38:18.1984274Z inflating: build/lib/torch/include/ATen/ops/special_bessel_y0_native.h 2024-08-20T21:38:18.1984575Z inflating: build/lib/torch/include/ATen/ops/special_bessel_y0_ops.h 2024-08-20T21:38:18.1984863Z inflating: build/lib/torch/include/ATen/ops/special_bessel_y1.h 2024-08-20T21:38:18.1985466Z inflating: build/lib/torch/include/ATen/ops/special_bessel_y1_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1985831Z inflating: build/lib/torch/include/ATen/ops/special_bessel_y1_cpu_dispatch.h 2024-08-20T21:38:18.1986214Z inflating: build/lib/torch/include/ATen/ops/special_bessel_y1_cuda_dispatch.h 2024-08-20T21:38:18.1986520Z inflating: build/lib/torch/include/ATen/ops/special_bessel_y1_meta.h 2024-08-20T21:38:18.1986893Z inflating: build/lib/torch/include/ATen/ops/special_bessel_y1_meta_dispatch.h 2024-08-20T21:38:18.1987216Z inflating: build/lib/torch/include/ATen/ops/special_bessel_y1_native.h 2024-08-20T21:38:18.1987513Z inflating: build/lib/torch/include/ATen/ops/special_bessel_y1_ops.h 2024-08-20T21:38:18.1987891Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_t.h 2024-08-20T21:38:18.1988483Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_t_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1989170Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_t_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1989633Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_t_cpu_dispatch.h 2024-08-20T21:38:18.1990090Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_t_cuda_dispatch.h 2024-08-20T21:38:18.1990497Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_t_meta.h 2024-08-20T21:38:18.1990946Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_t_meta_dispatch.h 2024-08-20T21:38:18.1991345Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_t_native.h 2024-08-20T21:38:18.1991746Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_t_ops.h 2024-08-20T21:38:18.1992107Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_u.h 2024-08-20T21:38:18.1992696Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_u_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1993395Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_u_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1993905Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_u_cpu_dispatch.h 2024-08-20T21:38:18.1994368Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_u_cuda_dispatch.h 2024-08-20T21:38:18.1994760Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_u_meta.h 2024-08-20T21:38:18.1995206Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_u_meta_dispatch.h 2024-08-20T21:38:18.1995619Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_u_native.h 2024-08-20T21:38:18.1996003Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_u_ops.h 2024-08-20T21:38:18.1996366Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_v.h 2024-08-20T21:38:18.1996977Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_v_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.1997723Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_v_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.1998182Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_v_cpu_dispatch.h 2024-08-20T21:38:18.1998633Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_v_cuda_dispatch.h 2024-08-20T21:38:18.1999022Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_v_meta.h 2024-08-20T21:38:18.1999488Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_v_meta_dispatch.h 2024-08-20T21:38:18.1999888Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_v_native.h 2024-08-20T21:38:18.2000272Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_v_ops.h 2024-08-20T21:38:18.2000646Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_w.h 2024-08-20T21:38:18.2001247Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_w_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2001938Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_w_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2002384Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_w_cpu_dispatch.h 2024-08-20T21:38:18.2002830Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_w_cuda_dispatch.h 2024-08-20T21:38:18.2003234Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_w_meta.h 2024-08-20T21:38:18.2003683Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_w_meta_dispatch.h 2024-08-20T21:38:18.2004098Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_w_native.h 2024-08-20T21:38:18.2004489Z inflating: build/lib/torch/include/ATen/ops/special_chebyshev_polynomial_w_ops.h 2024-08-20T21:38:18.2004759Z inflating: build/lib/torch/include/ATen/ops/special_digamma.h 2024-08-20T21:38:18.2005275Z inflating: build/lib/torch/include/ATen/ops/special_digamma_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2005587Z inflating: build/lib/torch/include/ATen/ops/special_digamma_native.h 2024-08-20T21:38:18.2005872Z inflating: build/lib/torch/include/ATen/ops/special_digamma_ops.h 2024-08-20T21:38:18.2006123Z inflating: build/lib/torch/include/ATen/ops/special_entr.h 2024-08-20T21:38:18.2006703Z inflating: build/lib/torch/include/ATen/ops/special_entr_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2007034Z inflating: build/lib/torch/include/ATen/ops/special_entr_cpu_dispatch.h 2024-08-20T21:38:18.2007384Z inflating: build/lib/torch/include/ATen/ops/special_entr_cuda_dispatch.h 2024-08-20T21:38:18.2007662Z inflating: build/lib/torch/include/ATen/ops/special_entr_meta.h 2024-08-20T21:38:18.2008013Z inflating: build/lib/torch/include/ATen/ops/special_entr_meta_dispatch.h 2024-08-20T21:38:18.2008348Z inflating: build/lib/torch/include/ATen/ops/special_entr_native.h 2024-08-20T21:38:18.2008620Z inflating: build/lib/torch/include/ATen/ops/special_entr_ops.h 2024-08-20T21:38:18.2008863Z inflating: build/lib/torch/include/ATen/ops/special_erf.h 2024-08-20T21:38:18.2009338Z inflating: build/lib/torch/include/ATen/ops/special_erf_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2009617Z inflating: build/lib/torch/include/ATen/ops/special_erf_native.h 2024-08-20T21:38:18.2009890Z inflating: build/lib/torch/include/ATen/ops/special_erf_ops.h 2024-08-20T21:38:18.2010128Z inflating: build/lib/torch/include/ATen/ops/special_erfc.h 2024-08-20T21:38:18.2010625Z inflating: build/lib/torch/include/ATen/ops/special_erfc_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2010910Z inflating: build/lib/torch/include/ATen/ops/special_erfc_native.h 2024-08-20T21:38:18.2011235Z inflating: build/lib/torch/include/ATen/ops/special_erfc_ops.h 2024-08-20T21:38:18.2011503Z inflating: build/lib/torch/include/ATen/ops/special_erfcx.h 2024-08-20T21:38:18.2012092Z inflating: build/lib/torch/include/ATen/ops/special_erfcx_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2012431Z inflating: build/lib/torch/include/ATen/ops/special_erfcx_cpu_dispatch.h 2024-08-20T21:38:18.2012787Z inflating: build/lib/torch/include/ATen/ops/special_erfcx_cuda_dispatch.h 2024-08-20T21:38:18.2013067Z inflating: build/lib/torch/include/ATen/ops/special_erfcx_meta.h 2024-08-20T21:38:18.2013407Z inflating: build/lib/torch/include/ATen/ops/special_erfcx_meta_dispatch.h 2024-08-20T21:38:18.2013713Z inflating: build/lib/torch/include/ATen/ops/special_erfcx_native.h 2024-08-20T21:38:18.2013989Z inflating: build/lib/torch/include/ATen/ops/special_erfcx_ops.h 2024-08-20T21:38:18.2014256Z inflating: build/lib/torch/include/ATen/ops/special_erfinv.h 2024-08-20T21:38:18.2014757Z inflating: build/lib/torch/include/ATen/ops/special_erfinv_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2015063Z inflating: build/lib/torch/include/ATen/ops/special_erfinv_native.h 2024-08-20T21:38:18.2015355Z inflating: build/lib/torch/include/ATen/ops/special_erfinv_ops.h 2024-08-20T21:38:18.2015594Z inflating: build/lib/torch/include/ATen/ops/special_exp2.h 2024-08-20T21:38:18.2016075Z inflating: build/lib/torch/include/ATen/ops/special_exp2_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2016374Z inflating: build/lib/torch/include/ATen/ops/special_exp2_native.h 2024-08-20T21:38:18.2016641Z inflating: build/lib/torch/include/ATen/ops/special_exp2_ops.h 2024-08-20T21:38:18.2016904Z inflating: build/lib/torch/include/ATen/ops/special_expit.h 2024-08-20T21:38:18.2017391Z inflating: build/lib/torch/include/ATen/ops/special_expit_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2017687Z inflating: build/lib/torch/include/ATen/ops/special_expit_native.h 2024-08-20T21:38:18.2017980Z inflating: build/lib/torch/include/ATen/ops/special_expit_ops.h 2024-08-20T21:38:18.2018235Z inflating: build/lib/torch/include/ATen/ops/special_expm1.h 2024-08-20T21:38:18.2018718Z inflating: build/lib/torch/include/ATen/ops/special_expm1_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2019024Z inflating: build/lib/torch/include/ATen/ops/special_expm1_native.h 2024-08-20T21:38:18.2019298Z inflating: build/lib/torch/include/ATen/ops/special_expm1_ops.h 2024-08-20T21:38:18.2019567Z inflating: build/lib/torch/include/ATen/ops/special_gammainc.h 2024-08-20T21:38:18.2020174Z inflating: build/lib/torch/include/ATen/ops/special_gammainc_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2020493Z inflating: build/lib/torch/include/ATen/ops/special_gammainc_native.h 2024-08-20T21:38:18.2020802Z inflating: build/lib/torch/include/ATen/ops/special_gammainc_ops.h 2024-08-20T21:38:18.2021082Z inflating: build/lib/torch/include/ATen/ops/special_gammaincc.h 2024-08-20T21:38:18.2021663Z inflating: build/lib/torch/include/ATen/ops/special_gammaincc_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2022004Z inflating: build/lib/torch/include/ATen/ops/special_gammaincc_native.h 2024-08-20T21:38:18.2022307Z inflating: build/lib/torch/include/ATen/ops/special_gammaincc_ops.h 2024-08-20T21:38:18.2022568Z inflating: build/lib/torch/include/ATen/ops/special_gammaln.h 2024-08-20T21:38:18.2023081Z inflating: build/lib/torch/include/ATen/ops/special_gammaln_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2023388Z inflating: build/lib/torch/include/ATen/ops/special_gammaln_native.h 2024-08-20T21:38:18.2023687Z inflating: build/lib/torch/include/ATen/ops/special_gammaln_ops.h 2024-08-20T21:38:18.2024036Z inflating: build/lib/torch/include/ATen/ops/special_hermite_polynomial_h.h 2024-08-20T21:38:18.2024612Z inflating: build/lib/torch/include/ATen/ops/special_hermite_polynomial_h_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2025358Z inflating: build/lib/torch/include/ATen/ops/special_hermite_polynomial_h_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2025960Z inflating: build/lib/torch/include/ATen/ops/special_hermite_polynomial_h_cpu_dispatch.h 2024-08-20T21:38:18.2026400Z inflating: build/lib/torch/include/ATen/ops/special_hermite_polynomial_h_cuda_dispatch.h 2024-08-20T21:38:18.2026796Z inflating: build/lib/torch/include/ATen/ops/special_hermite_polynomial_h_meta.h 2024-08-20T21:38:18.2027235Z inflating: build/lib/torch/include/ATen/ops/special_hermite_polynomial_h_meta_dispatch.h 2024-08-20T21:38:18.2027648Z inflating: build/lib/torch/include/ATen/ops/special_hermite_polynomial_h_native.h 2024-08-20T21:38:18.2028027Z inflating: build/lib/torch/include/ATen/ops/special_hermite_polynomial_h_ops.h 2024-08-20T21:38:18.2028380Z inflating: build/lib/torch/include/ATen/ops/special_hermite_polynomial_he.h 2024-08-20T21:38:18.2028979Z inflating: build/lib/torch/include/ATen/ops/special_hermite_polynomial_he_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2029656Z inflating: build/lib/torch/include/ATen/ops/special_hermite_polynomial_he_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2044113Z inflating: build/lib/torch/include/ATen/ops/special_hermite_polynomial_he_cpu_dispatch.h 2024-08-20T21:38:18.2045010Z inflating: build/lib/torch/include/ATen/ops/special_hermite_polynomial_he_cuda_dispatch.h 2024-08-20T21:38:18.2045791Z inflating: build/lib/torch/include/ATen/ops/special_hermite_polynomial_he_meta.h 2024-08-20T21:38:18.2046562Z inflating: build/lib/torch/include/ATen/ops/special_hermite_polynomial_he_meta_dispatch.h 2024-08-20T21:38:18.2046969Z inflating: build/lib/torch/include/ATen/ops/special_hermite_polynomial_he_native.h 2024-08-20T21:38:18.2047372Z inflating: build/lib/torch/include/ATen/ops/special_hermite_polynomial_he_ops.h 2024-08-20T21:38:18.2047664Z inflating: build/lib/torch/include/ATen/ops/special_i0.h 2024-08-20T21:38:18.2048514Z inflating: build/lib/torch/include/ATen/ops/special_i0_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2049078Z inflating: build/lib/torch/include/ATen/ops/special_i0_native.h 2024-08-20T21:38:18.2049535Z inflating: build/lib/torch/include/ATen/ops/special_i0_ops.h 2024-08-20T21:38:18.2049977Z inflating: build/lib/torch/include/ATen/ops/special_i0e.h 2024-08-20T21:38:18.2050812Z inflating: build/lib/torch/include/ATen/ops/special_i0e_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2051158Z inflating: build/lib/torch/include/ATen/ops/special_i0e_cpu_dispatch.h 2024-08-20T21:38:18.2051574Z inflating: build/lib/torch/include/ATen/ops/special_i0e_cuda_dispatch.h 2024-08-20T21:38:18.2052096Z inflating: build/lib/torch/include/ATen/ops/special_i0e_meta.h 2024-08-20T21:38:18.2052567Z inflating: build/lib/torch/include/ATen/ops/special_i0e_meta_dispatch.h 2024-08-20T21:38:18.2053155Z inflating: build/lib/torch/include/ATen/ops/special_i0e_native.h 2024-08-20T21:38:18.2053716Z inflating: build/lib/torch/include/ATen/ops/special_i0e_ops.h 2024-08-20T21:38:18.2054166Z inflating: build/lib/torch/include/ATen/ops/special_i1.h 2024-08-20T21:38:18.2054903Z inflating: build/lib/torch/include/ATen/ops/special_i1_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2055229Z inflating: build/lib/torch/include/ATen/ops/special_i1_cpu_dispatch.h 2024-08-20T21:38:18.2055576Z inflating: build/lib/torch/include/ATen/ops/special_i1_cuda_dispatch.h 2024-08-20T21:38:18.2055842Z inflating: build/lib/torch/include/ATen/ops/special_i1_meta.h 2024-08-20T21:38:18.2056172Z inflating: build/lib/torch/include/ATen/ops/special_i1_meta_dispatch.h 2024-08-20T21:38:18.2056465Z inflating: build/lib/torch/include/ATen/ops/special_i1_native.h 2024-08-20T21:38:18.2056722Z inflating: build/lib/torch/include/ATen/ops/special_i1_ops.h 2024-08-20T21:38:18.2057068Z inflating: build/lib/torch/include/ATen/ops/special_i1e.h 2024-08-20T21:38:18.2057666Z inflating: build/lib/torch/include/ATen/ops/special_i1e_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2057996Z inflating: build/lib/torch/include/ATen/ops/special_i1e_cpu_dispatch.h 2024-08-20T21:38:18.2058351Z inflating: build/lib/torch/include/ATen/ops/special_i1e_cuda_dispatch.h 2024-08-20T21:38:18.2058625Z inflating: build/lib/torch/include/ATen/ops/special_i1e_meta.h 2024-08-20T21:38:18.2058959Z inflating: build/lib/torch/include/ATen/ops/special_i1e_meta_dispatch.h 2024-08-20T21:38:18.2059256Z inflating: build/lib/torch/include/ATen/ops/special_i1e_native.h 2024-08-20T21:38:18.2059517Z inflating: build/lib/torch/include/ATen/ops/special_i1e_ops.h 2024-08-20T21:38:18.2059986Z inflating: build/lib/torch/include/ATen/ops/special_laguerre_polynomial_l.h 2024-08-20T21:38:18.2060596Z inflating: build/lib/torch/include/ATen/ops/special_laguerre_polynomial_l_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2061299Z inflating: build/lib/torch/include/ATen/ops/special_laguerre_polynomial_l_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2061749Z inflating: build/lib/torch/include/ATen/ops/special_laguerre_polynomial_l_cpu_dispatch.h 2024-08-20T21:38:18.2062214Z inflating: build/lib/torch/include/ATen/ops/special_laguerre_polynomial_l_cuda_dispatch.h 2024-08-20T21:38:18.2062611Z inflating: build/lib/torch/include/ATen/ops/special_laguerre_polynomial_l_meta.h 2024-08-20T21:38:18.2063069Z inflating: build/lib/torch/include/ATen/ops/special_laguerre_polynomial_l_meta_dispatch.h 2024-08-20T21:38:18.2063475Z inflating: build/lib/torch/include/ATen/ops/special_laguerre_polynomial_l_native.h 2024-08-20T21:38:18.2063863Z inflating: build/lib/torch/include/ATen/ops/special_laguerre_polynomial_l_ops.h 2024-08-20T21:38:18.2064235Z inflating: build/lib/torch/include/ATen/ops/special_legendre_polynomial_p.h 2024-08-20T21:38:18.2064835Z inflating: build/lib/torch/include/ATen/ops/special_legendre_polynomial_p_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2065545Z inflating: build/lib/torch/include/ATen/ops/special_legendre_polynomial_p_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2065993Z inflating: build/lib/torch/include/ATen/ops/special_legendre_polynomial_p_cpu_dispatch.h 2024-08-20T21:38:18.2066444Z inflating: build/lib/torch/include/ATen/ops/special_legendre_polynomial_p_cuda_dispatch.h 2024-08-20T21:38:18.2066854Z inflating: build/lib/torch/include/ATen/ops/special_legendre_polynomial_p_meta.h 2024-08-20T21:38:18.2067303Z inflating: build/lib/torch/include/ATen/ops/special_legendre_polynomial_p_meta_dispatch.h 2024-08-20T21:38:18.2067707Z inflating: build/lib/torch/include/ATen/ops/special_legendre_polynomial_p_native.h 2024-08-20T21:38:18.2068108Z inflating: build/lib/torch/include/ATen/ops/special_legendre_polynomial_p_ops.h 2024-08-20T21:38:18.2068400Z inflating: build/lib/torch/include/ATen/ops/special_log1p.h 2024-08-20T21:38:18.2068966Z inflating: build/lib/torch/include/ATen/ops/special_log1p_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2069272Z inflating: build/lib/torch/include/ATen/ops/special_log1p_native.h 2024-08-20T21:38:18.2069554Z inflating: build/lib/torch/include/ATen/ops/special_log1p_ops.h 2024-08-20T21:38:18.2069841Z inflating: build/lib/torch/include/ATen/ops/special_log_ndtr.h 2024-08-20T21:38:18.2070449Z inflating: build/lib/torch/include/ATen/ops/special_log_ndtr_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2070806Z inflating: build/lib/torch/include/ATen/ops/special_log_ndtr_cpu_dispatch.h 2024-08-20T21:38:18.2071190Z inflating: build/lib/torch/include/ATen/ops/special_log_ndtr_cuda_dispatch.h 2024-08-20T21:38:18.2071495Z inflating: build/lib/torch/include/ATen/ops/special_log_ndtr_meta.h 2024-08-20T21:38:18.2071880Z inflating: build/lib/torch/include/ATen/ops/special_log_ndtr_meta_dispatch.h 2024-08-20T21:38:18.2072277Z inflating: build/lib/torch/include/ATen/ops/special_log_ndtr_native.h 2024-08-20T21:38:18.2072579Z inflating: build/lib/torch/include/ATen/ops/special_log_ndtr_ops.h 2024-08-20T21:38:18.2072886Z inflating: build/lib/torch/include/ATen/ops/special_log_softmax.h 2024-08-20T21:38:18.2073431Z inflating: build/lib/torch/include/ATen/ops/special_log_softmax_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2073775Z inflating: build/lib/torch/include/ATen/ops/special_log_softmax_native.h 2024-08-20T21:38:18.2074137Z inflating: build/lib/torch/include/ATen/ops/special_log_softmax_ops.h 2024-08-20T21:38:18.2074400Z inflating: build/lib/torch/include/ATen/ops/special_logit.h 2024-08-20T21:38:18.2074920Z inflating: build/lib/torch/include/ATen/ops/special_logit_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2075293Z inflating: build/lib/torch/include/ATen/ops/special_logit_native.h 2024-08-20T21:38:18.2075594Z inflating: build/lib/torch/include/ATen/ops/special_logit_ops.h 2024-08-20T21:38:18.2081616Z inflating: build/lib/torch/include/ATen/ops/special_logsumexp.h 2024-08-20T21:38:18.2082161Z inflating: build/lib/torch/include/ATen/ops/special_logsumexp_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2082494Z inflating: build/lib/torch/include/ATen/ops/special_logsumexp_native.h 2024-08-20T21:38:18.2082933Z inflating: build/lib/torch/include/ATen/ops/special_logsumexp_ops.h 2024-08-20T21:38:18.2083501Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_i0.h 2024-08-20T21:38:18.2084728Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_i0_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2085497Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_i0_cpu_dispatch.h 2024-08-20T21:38:18.2086256Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_i0_cuda_dispatch.h 2024-08-20T21:38:18.2086938Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_i0_meta.h 2024-08-20T21:38:18.2087714Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_i0_meta_dispatch.h 2024-08-20T21:38:18.2088384Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_i0_native.h 2024-08-20T21:38:18.2089030Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_i0_ops.h 2024-08-20T21:38:18.2089637Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_i1.h 2024-08-20T21:38:18.2090849Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_i1_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2091648Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_i1_cpu_dispatch.h 2024-08-20T21:38:18.2092411Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_i1_cuda_dispatch.h 2024-08-20T21:38:18.2113738Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_i1_meta.h 2024-08-20T21:38:18.2114431Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_i1_meta_dispatch.h 2024-08-20T21:38:18.2114818Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_i1_native.h 2024-08-20T21:38:18.2115185Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_i1_ops.h 2024-08-20T21:38:18.2115522Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_k0.h 2024-08-20T21:38:18.2116181Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_k0_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2116600Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_k0_cpu_dispatch.h 2024-08-20T21:38:18.2117019Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_k0_cuda_dispatch.h 2024-08-20T21:38:18.2117383Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_k0_meta.h 2024-08-20T21:38:18.2117885Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_k0_meta_dispatch.h 2024-08-20T21:38:18.2118268Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_k0_native.h 2024-08-20T21:38:18.2118632Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_k0_ops.h 2024-08-20T21:38:18.2118965Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_k1.h 2024-08-20T21:38:18.2119623Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_k1_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2120043Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_k1_cpu_dispatch.h 2024-08-20T21:38:18.2120458Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_k1_cuda_dispatch.h 2024-08-20T21:38:18.2120823Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_k1_meta.h 2024-08-20T21:38:18.2121238Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_k1_meta_dispatch.h 2024-08-20T21:38:18.2121615Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_k1_native.h 2024-08-20T21:38:18.2121977Z inflating: build/lib/torch/include/ATen/ops/special_modified_bessel_k1_ops.h 2024-08-20T21:38:18.2122271Z inflating: build/lib/torch/include/ATen/ops/special_multigammaln.h 2024-08-20T21:38:18.2122796Z inflating: build/lib/torch/include/ATen/ops/special_multigammaln_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2123137Z inflating: build/lib/torch/include/ATen/ops/special_multigammaln_native.h 2024-08-20T21:38:18.2123458Z inflating: build/lib/torch/include/ATen/ops/special_multigammaln_ops.h 2024-08-20T21:38:18.2123691Z inflating: build/lib/torch/include/ATen/ops/special_ndtr.h 2024-08-20T21:38:18.2124175Z inflating: build/lib/torch/include/ATen/ops/special_ndtr_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2124471Z inflating: build/lib/torch/include/ATen/ops/special_ndtr_native.h 2024-08-20T21:38:18.2124737Z inflating: build/lib/torch/include/ATen/ops/special_ndtr_ops.h 2024-08-20T21:38:18.2124988Z inflating: build/lib/torch/include/ATen/ops/special_ndtri.h 2024-08-20T21:38:18.2125573Z inflating: build/lib/torch/include/ATen/ops/special_ndtri_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2126089Z inflating: build/lib/torch/include/ATen/ops/special_ndtri_cpu_dispatch.h 2024-08-20T21:38:18.2126428Z inflating: build/lib/torch/include/ATen/ops/special_ndtri_cuda_dispatch.h 2024-08-20T21:38:18.2126716Z inflating: build/lib/torch/include/ATen/ops/special_ndtri_meta.h 2024-08-20T21:38:18.2127053Z inflating: build/lib/torch/include/ATen/ops/special_ndtri_meta_dispatch.h 2024-08-20T21:38:18.2127350Z inflating: build/lib/torch/include/ATen/ops/special_ndtri_native.h 2024-08-20T21:38:18.2127625Z inflating: build/lib/torch/include/ATen/ops/special_ndtri_ops.h 2024-08-20T21:38:18.2127896Z inflating: build/lib/torch/include/ATen/ops/special_polygamma.h 2024-08-20T21:38:18.2128418Z inflating: build/lib/torch/include/ATen/ops/special_polygamma_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2128840Z inflating: build/lib/torch/include/ATen/ops/special_polygamma_native.h 2024-08-20T21:38:18.2129140Z inflating: build/lib/torch/include/ATen/ops/special_polygamma_ops.h 2024-08-20T21:38:18.2129374Z inflating: build/lib/torch/include/ATen/ops/special_psi.h 2024-08-20T21:38:18.2129843Z inflating: build/lib/torch/include/ATen/ops/special_psi_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2130130Z inflating: build/lib/torch/include/ATen/ops/special_psi_native.h 2024-08-20T21:38:18.2130390Z inflating: build/lib/torch/include/ATen/ops/special_psi_ops.h 2024-08-20T21:38:18.2130637Z inflating: build/lib/torch/include/ATen/ops/special_round.h 2024-08-20T21:38:18.2131130Z inflating: build/lib/torch/include/ATen/ops/special_round_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2131419Z inflating: build/lib/torch/include/ATen/ops/special_round_native.h 2024-08-20T21:38:18.2131769Z inflating: build/lib/torch/include/ATen/ops/special_round_ops.h 2024-08-20T21:38:18.2132159Z inflating: build/lib/torch/include/ATen/ops/special_scaled_modified_bessel_k0.h 2024-08-20T21:38:18.2132866Z inflating: build/lib/torch/include/ATen/ops/special_scaled_modified_bessel_k0_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2133324Z inflating: build/lib/torch/include/ATen/ops/special_scaled_modified_bessel_k0_cpu_dispatch.h 2024-08-20T21:38:18.2133785Z inflating: build/lib/torch/include/ATen/ops/special_scaled_modified_bessel_k0_cuda_dispatch.h 2024-08-20T21:38:18.2134194Z inflating: build/lib/torch/include/ATen/ops/special_scaled_modified_bessel_k0_meta.h 2024-08-20T21:38:18.2134651Z inflating: build/lib/torch/include/ATen/ops/special_scaled_modified_bessel_k0_meta_dispatch.h 2024-08-20T21:38:18.2135072Z inflating: build/lib/torch/include/ATen/ops/special_scaled_modified_bessel_k0_native.h 2024-08-20T21:38:18.2135571Z inflating: build/lib/torch/include/ATen/ops/special_scaled_modified_bessel_k0_ops.h 2024-08-20T21:38:18.2135952Z inflating: build/lib/torch/include/ATen/ops/special_scaled_modified_bessel_k1.h 2024-08-20T21:38:18.2136654Z inflating: build/lib/torch/include/ATen/ops/special_scaled_modified_bessel_k1_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2137112Z inflating: build/lib/torch/include/ATen/ops/special_scaled_modified_bessel_k1_cpu_dispatch.h 2024-08-20T21:38:18.2137577Z inflating: build/lib/torch/include/ATen/ops/special_scaled_modified_bessel_k1_cuda_dispatch.h 2024-08-20T21:38:18.2137987Z inflating: build/lib/torch/include/ATen/ops/special_scaled_modified_bessel_k1_meta.h 2024-08-20T21:38:18.2138444Z inflating: build/lib/torch/include/ATen/ops/special_scaled_modified_bessel_k1_meta_dispatch.h 2024-08-20T21:38:18.2138875Z inflating: build/lib/torch/include/ATen/ops/special_scaled_modified_bessel_k1_native.h 2024-08-20T21:38:18.2139284Z inflating: build/lib/torch/include/ATen/ops/special_scaled_modified_bessel_k1_ops.h 2024-08-20T21:38:18.2139704Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t.h 2024-08-20T21:38:18.2140433Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2141168Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2141688Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_cpu_dispatch.h 2024-08-20T21:38:18.2142191Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_cuda_dispatch.h 2024-08-20T21:38:18.2142636Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_meta.h 2024-08-20T21:38:18.2143198Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_meta_dispatch.h 2024-08-20T21:38:18.2143751Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_native.h 2024-08-20T21:38:18.2144195Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_ops.h 2024-08-20T21:38:18.2144624Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u.h 2024-08-20T21:38:18.2145263Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2166637Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2167289Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_cpu_dispatch.h 2024-08-20T21:38:18.2167831Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_cuda_dispatch.h 2024-08-20T21:38:18.2168457Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_meta.h 2024-08-20T21:38:18.2169048Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_meta_dispatch.h 2024-08-20T21:38:18.2169604Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_native.h 2024-08-20T21:38:18.2170120Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_ops.h 2024-08-20T21:38:18.2170575Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v.h 2024-08-20T21:38:18.2171323Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2172167Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2172750Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_cpu_dispatch.h 2024-08-20T21:38:18.2173285Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_cuda_dispatch.h 2024-08-20T21:38:18.2173736Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_meta.h 2024-08-20T21:38:18.2174249Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_meta_dispatch.h 2024-08-20T21:38:18.2174761Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_native.h 2024-08-20T21:38:18.2175268Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_ops.h 2024-08-20T21:38:18.2175731Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w.h 2024-08-20T21:38:18.2176369Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2177097Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2177344Z inflating: build/lib/torch/include/ATen/ops/unbind_ops.h 2024-08-20T21:38:18.2177571Z inflating: build/lib/torch/include/ATen/ops/unflatten.h 2024-08-20T21:38:18.2178075Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_cpu_dispatch.h 2024-08-20T21:38:18.2178573Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_cuda_dispatch.h 2024-08-20T21:38:18.2179019Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_meta.h 2024-08-20T21:38:18.2179531Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_meta_dispatch.h 2024-08-20T21:38:18.2180066Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_native.h 2024-08-20T21:38:18.2180503Z inflating: build/lib/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_ops.h 2024-08-20T21:38:18.2180764Z inflating: build/lib/torch/include/ATen/ops/special_sinc.h 2024-08-20T21:38:18.2181400Z inflating: build/lib/torch/include/ATen/ops/special_sinc_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2181709Z inflating: build/lib/torch/include/ATen/ops/special_sinc_native.h 2024-08-20T21:38:18.2181981Z inflating: build/lib/torch/include/ATen/ops/special_sinc_ops.h 2024-08-20T21:38:18.2182254Z inflating: build/lib/torch/include/ATen/ops/special_softmax.h 2024-08-20T21:38:18.2182770Z inflating: build/lib/torch/include/ATen/ops/special_softmax_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2183081Z inflating: build/lib/torch/include/ATen/ops/special_softmax_native.h 2024-08-20T21:38:18.2183370Z inflating: build/lib/torch/include/ATen/ops/special_softmax_ops.h 2024-08-20T21:38:18.2183731Z inflating: build/lib/torch/include/ATen/ops/special_spherical_bessel_j0.h 2024-08-20T21:38:18.2184408Z inflating: build/lib/torch/include/ATen/ops/special_spherical_bessel_j0_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2184909Z inflating: build/lib/torch/include/ATen/ops/special_spherical_bessel_j0_cpu_dispatch.h 2024-08-20T21:38:18.2185427Z inflating: build/lib/torch/include/ATen/ops/special_spherical_bessel_j0_cuda_dispatch.h 2024-08-20T21:38:18.2185861Z inflating: build/lib/torch/include/ATen/ops/special_spherical_bessel_j0_meta.h 2024-08-20T21:38:18.2186412Z inflating: build/lib/torch/include/ATen/ops/special_spherical_bessel_j0_meta_dispatch.h 2024-08-20T21:38:18.2186801Z inflating: build/lib/torch/include/ATen/ops/special_spherical_bessel_j0_native.h 2024-08-20T21:38:18.2187267Z inflating: build/lib/torch/include/ATen/ops/special_spherical_bessel_j0_ops.h 2024-08-20T21:38:18.2187544Z inflating: build/lib/torch/include/ATen/ops/special_xlog1py.h 2024-08-20T21:38:18.2188160Z inflating: build/lib/torch/include/ATen/ops/special_xlog1py_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2188872Z inflating: build/lib/torch/include/ATen/ops/special_xlog1py_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2189298Z inflating: build/lib/torch/include/ATen/ops/special_xlog1py_cpu_dispatch.h 2024-08-20T21:38:18.2189712Z inflating: build/lib/torch/include/ATen/ops/special_xlog1py_cuda_dispatch.h 2024-08-20T21:38:18.2190059Z inflating: build/lib/torch/include/ATen/ops/special_xlog1py_meta.h 2024-08-20T21:38:18.2190499Z inflating: build/lib/torch/include/ATen/ops/special_xlog1py_meta_dispatch.h 2024-08-20T21:38:18.2190809Z inflating: build/lib/torch/include/ATen/ops/special_xlog1py_native.h 2024-08-20T21:38:18.2191153Z inflating: build/lib/torch/include/ATen/ops/special_xlog1py_ops.h 2024-08-20T21:38:18.2191404Z inflating: build/lib/torch/include/ATen/ops/special_xlogy.h 2024-08-20T21:38:18.2191900Z inflating: build/lib/torch/include/ATen/ops/special_xlogy_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2192194Z inflating: build/lib/torch/include/ATen/ops/special_xlogy_native.h 2024-08-20T21:38:18.2192478Z inflating: build/lib/torch/include/ATen/ops/special_xlogy_ops.h 2024-08-20T21:38:18.2192732Z inflating: build/lib/torch/include/ATen/ops/special_zeta.h 2024-08-20T21:38:18.2193218Z inflating: build/lib/torch/include/ATen/ops/special_zeta_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2193804Z inflating: build/lib/torch/include/ATen/ops/special_zeta_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2194150Z inflating: build/lib/torch/include/ATen/ops/special_zeta_cpu_dispatch.h 2024-08-20T21:38:18.2194486Z inflating: build/lib/torch/include/ATen/ops/special_zeta_cuda_dispatch.h 2024-08-20T21:38:18.2194758Z inflating: build/lib/torch/include/ATen/ops/special_zeta_meta.h 2024-08-20T21:38:18.2195107Z inflating: build/lib/torch/include/ATen/ops/special_zeta_meta_dispatch.h 2024-08-20T21:38:18.2195395Z inflating: build/lib/torch/include/ATen/ops/special_zeta_native.h 2024-08-20T21:38:18.2195680Z inflating: build/lib/torch/include/ATen/ops/special_zeta_ops.h 2024-08-20T21:38:18.2195884Z inflating: build/lib/torch/include/ATen/ops/split.h 2024-08-20T21:38:18.2196390Z inflating: build/lib/torch/include/ATen/ops/split_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2196839Z inflating: build/lib/torch/include/ATen/ops/split_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2197071Z inflating: build/lib/torch/include/ATen/ops/split_copy.h 2024-08-20T21:38:18.2197534Z inflating: build/lib/torch/include/ATen/ops/split_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2198108Z inflating: build/lib/torch/include/ATen/ops/split_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2198386Z inflating: build/lib/torch/include/ATen/ops/split_copy_native.h 2024-08-20T21:38:18.2198655Z inflating: build/lib/torch/include/ATen/ops/split_copy_ops.h 2024-08-20T21:38:18.2198897Z inflating: build/lib/torch/include/ATen/ops/split_native.h 2024-08-20T21:38:18.2199176Z inflating: build/lib/torch/include/ATen/ops/split_ops.h 2024-08-20T21:38:18.2199458Z inflating: build/lib/torch/include/ATen/ops/split_with_sizes.h 2024-08-20T21:38:18.2199968Z inflating: build/lib/torch/include/ATen/ops/split_with_sizes_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2200269Z inflating: build/lib/torch/include/ATen/ops/split_with_sizes_copy.h 2024-08-20T21:38:18.2200812Z inflating: build/lib/torch/include/ATen/ops/split_with_sizes_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2201447Z inflating: build/lib/torch/include/ATen/ops/split_with_sizes_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2201852Z inflating: build/lib/torch/include/ATen/ops/split_with_sizes_copy_cuda_dispatch.h 2024-08-20T21:38:18.2202196Z inflating: build/lib/torch/include/ATen/ops/split_with_sizes_copy_native.h 2024-08-20T21:38:18.2202524Z inflating: build/lib/torch/include/ATen/ops/split_with_sizes_copy_ops.h 2024-08-20T21:38:18.2202855Z inflating: build/lib/torch/include/ATen/ops/split_with_sizes_native.h 2024-08-20T21:38:18.2203156Z inflating: build/lib/torch/include/ATen/ops/split_with_sizes_ops.h 2024-08-20T21:38:18.2203350Z inflating: build/lib/torch/include/ATen/ops/sqrt.h 2024-08-20T21:38:18.2203889Z inflating: build/lib/torch/include/ATen/ops/sqrt_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2204166Z inflating: build/lib/torch/include/ATen/ops/sqrt_cpu_dispatch.h 2024-08-20T21:38:18.2204449Z inflating: build/lib/torch/include/ATen/ops/sqrt_cuda_dispatch.h 2024-08-20T21:38:18.2204683Z inflating: build/lib/torch/include/ATen/ops/sqrt_meta.h 2024-08-20T21:38:18.2204966Z inflating: build/lib/torch/include/ATen/ops/sqrt_meta_dispatch.h 2024-08-20T21:38:18.2205209Z inflating: build/lib/torch/include/ATen/ops/sqrt_native.h 2024-08-20T21:38:18.2205423Z inflating: build/lib/torch/include/ATen/ops/sqrt_ops.h 2024-08-20T21:38:18.2205634Z inflating: build/lib/torch/include/ATen/ops/square.h 2024-08-20T21:38:18.2206097Z inflating: build/lib/torch/include/ATen/ops/square_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2206350Z inflating: build/lib/torch/include/ATen/ops/square_native.h 2024-08-20T21:38:18.2206577Z inflating: build/lib/torch/include/ATen/ops/square_ops.h 2024-08-20T21:38:18.2206803Z inflating: build/lib/torch/include/ATen/ops/squeeze.h 2024-08-20T21:38:18.2207260Z inflating: build/lib/torch/include/ATen/ops/squeeze_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2207710Z inflating: build/lib/torch/include/ATen/ops/squeeze_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2207967Z inflating: build/lib/torch/include/ATen/ops/squeeze_copy.h 2024-08-20T21:38:18.2208447Z inflating: build/lib/torch/include/ATen/ops/squeeze_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2209043Z inflating: build/lib/torch/include/ATen/ops/squeeze_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2209345Z inflating: build/lib/torch/include/ATen/ops/squeeze_copy_native.h 2024-08-20T21:38:18.2209669Z inflating: build/lib/torch/include/ATen/ops/squeeze_copy_ops.h 2024-08-20T21:38:18.2209940Z inflating: build/lib/torch/include/ATen/ops/squeeze_native.h 2024-08-20T21:38:18.2210170Z inflating: build/lib/torch/include/ATen/ops/squeeze_ops.h 2024-08-20T21:38:18.2210386Z inflating: build/lib/torch/include/ATen/ops/sspaddmm.h 2024-08-20T21:38:18.2210865Z inflating: build/lib/torch/include/ATen/ops/sspaddmm_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2211169Z inflating: build/lib/torch/include/ATen/ops/sspaddmm_cpu_dispatch.h 2024-08-20T21:38:18.2211493Z inflating: build/lib/torch/include/ATen/ops/sspaddmm_cuda_dispatch.h 2024-08-20T21:38:18.2211755Z inflating: build/lib/torch/include/ATen/ops/sspaddmm_native.h 2024-08-20T21:38:18.2211996Z inflating: build/lib/torch/include/ATen/ops/sspaddmm_ops.h 2024-08-20T21:38:18.2212261Z inflating: build/lib/torch/include/ATen/ops/stack.h 2024-08-20T21:38:18.2212706Z inflating: build/lib/torch/include/ATen/ops/stack_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2212947Z inflating: build/lib/torch/include/ATen/ops/stack_native.h 2024-08-20T21:38:18.2213179Z inflating: build/lib/torch/include/ATen/ops/stack_ops.h 2024-08-20T21:38:18.2213368Z inflating: build/lib/torch/include/ATen/ops/std.h 2024-08-20T21:38:18.2213789Z inflating: build/lib/torch/include/ATen/ops/std_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2214072Z inflating: build/lib/torch/include/ATen/ops/std_cpu_dispatch.h 2024-08-20T21:38:18.2214350Z inflating: build/lib/torch/include/ATen/ops/std_cuda_dispatch.h 2024-08-20T21:38:18.2214575Z inflating: build/lib/torch/include/ATen/ops/std_mean.h 2024-08-20T21:38:18.2215026Z inflating: build/lib/torch/include/ATen/ops/std_mean_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2215478Z inflating: build/lib/torch/include/ATen/ops/std_mean_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2215802Z inflating: build/lib/torch/include/ATen/ops/std_mean_cpu_dispatch.h 2024-08-20T21:38:18.2216111Z inflating: build/lib/torch/include/ATen/ops/std_mean_cuda_dispatch.h 2024-08-20T21:38:18.2216373Z inflating: build/lib/torch/include/ATen/ops/std_mean_native.h 2024-08-20T21:38:18.2216625Z inflating: build/lib/torch/include/ATen/ops/std_mean_ops.h 2024-08-20T21:38:18.2216854Z inflating: build/lib/torch/include/ATen/ops/std_native.h 2024-08-20T21:38:18.2217091Z inflating: build/lib/torch/include/ATen/ops/std_ops.h 2024-08-20T21:38:18.2217286Z inflating: build/lib/torch/include/ATen/ops/stft.h 2024-08-20T21:38:18.2217720Z inflating: build/lib/torch/include/ATen/ops/stft_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2217966Z inflating: build/lib/torch/include/ATen/ops/stft_native.h 2024-08-20T21:38:18.2218185Z inflating: build/lib/torch/include/ATen/ops/stft_ops.h 2024-08-20T21:38:18.2218401Z inflating: build/lib/torch/include/ATen/ops/stride.h 2024-08-20T21:38:18.2218863Z inflating: build/lib/torch/include/ATen/ops/stride_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2219121Z inflating: build/lib/torch/include/ATen/ops/stride_native.h 2024-08-20T21:38:18.2219350Z inflating: build/lib/torch/include/ATen/ops/stride_ops.h 2024-08-20T21:38:18.2219554Z inflating: build/lib/torch/include/ATen/ops/sub.h 2024-08-20T21:38:18.2220064Z inflating: build/lib/torch/include/ATen/ops/sub_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2220607Z inflating: build/lib/torch/include/ATen/ops/sub_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2220885Z inflating: build/lib/torch/include/ATen/ops/sub_cpu_dispatch.h 2024-08-20T21:38:18.2221165Z inflating: build/lib/torch/include/ATen/ops/sub_cuda_dispatch.h 2024-08-20T21:38:18.2221409Z inflating: build/lib/torch/include/ATen/ops/sub_meta.h 2024-08-20T21:38:18.2221693Z inflating: build/lib/torch/include/ATen/ops/sub_meta_dispatch.h 2024-08-20T21:38:18.2221996Z inflating: build/lib/torch/include/ATen/ops/sub_native.h 2024-08-20T21:38:18.2222225Z inflating: build/lib/torch/include/ATen/ops/sub_ops.h 2024-08-20T21:38:18.2222445Z inflating: build/lib/torch/include/ATen/ops/subtract.h 2024-08-20T21:38:18.2222911Z inflating: build/lib/torch/include/ATen/ops/subtract_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2223195Z inflating: build/lib/torch/include/ATen/ops/subtract_native.h 2024-08-20T21:38:18.2223441Z inflating: build/lib/torch/include/ATen/ops/subtract_ops.h 2024-08-20T21:38:18.2223650Z inflating: build/lib/torch/include/ATen/ops/sum.h 2024-08-20T21:38:18.2224074Z inflating: build/lib/torch/include/ATen/ops/sum_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2224600Z inflating: build/lib/torch/include/ATen/ops/sum_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2225040Z inflating: build/lib/torch/include/ATen/ops/sum_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2225373Z inflating: build/lib/torch/include/ATen/ops/sum_cpu_dispatch.h 2024-08-20T21:38:18.2225795Z inflating: build/lib/torch/include/ATen/ops/sum_cuda_dispatch.h 2024-08-20T21:38:18.2226051Z inflating: build/lib/torch/include/ATen/ops/sum_meta.h 2024-08-20T21:38:18.2226327Z inflating: build/lib/torch/include/ATen/ops/sum_meta_dispatch.h 2024-08-20T21:38:18.2226556Z inflating: build/lib/torch/include/ATen/ops/sum_native.h 2024-08-20T21:38:18.2226786Z inflating: build/lib/torch/include/ATen/ops/sum_ops.h 2024-08-20T21:38:18.2227015Z inflating: build/lib/torch/include/ATen/ops/sum_to_size.h 2024-08-20T21:38:18.2227499Z inflating: build/lib/torch/include/ATen/ops/sum_to_size_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2227776Z inflating: build/lib/torch/include/ATen/ops/sum_to_size_native.h 2024-08-20T21:38:18.2228036Z inflating: build/lib/torch/include/ATen/ops/sum_to_size_ops.h 2024-08-20T21:38:18.2228247Z inflating: build/lib/torch/include/ATen/ops/svd.h 2024-08-20T21:38:18.2228670Z inflating: build/lib/torch/include/ATen/ops/svd_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2228896Z inflating: build/lib/torch/include/ATen/ops/svd_native.h 2024-08-20T21:38:18.2229121Z inflating: build/lib/torch/include/ATen/ops/svd_ops.h 2024-08-20T21:38:18.2229336Z inflating: build/lib/torch/include/ATen/ops/swapaxes.h 2024-08-20T21:38:18.2229793Z inflating: build/lib/torch/include/ATen/ops/swapaxes_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2230070Z inflating: build/lib/torch/include/ATen/ops/swapaxes_native.h 2024-08-20T21:38:18.2230312Z inflating: build/lib/torch/include/ATen/ops/swapaxes_ops.h 2024-08-20T21:38:18.2230541Z inflating: build/lib/torch/include/ATen/ops/swapdims.h 2024-08-20T21:38:18.2231005Z inflating: build/lib/torch/include/ATen/ops/swapdims_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2231271Z inflating: build/lib/torch/include/ATen/ops/swapdims_native.h 2024-08-20T21:38:18.2231529Z inflating: build/lib/torch/include/ATen/ops/swapdims_ops.h 2024-08-20T21:38:18.2231816Z inflating: build/lib/torch/include/ATen/ops/sym_constrain_range.h 2024-08-20T21:38:18.2232329Z inflating: build/lib/torch/include/ATen/ops/sym_constrain_range_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2232729Z inflating: build/lib/torch/include/ATen/ops/sym_constrain_range_for_size.h 2024-08-20T21:38:18.2233302Z inflating: build/lib/torch/include/ATen/ops/sym_constrain_range_for_size_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2233698Z inflating: build/lib/torch/include/ATen/ops/sym_constrain_range_for_size_native.h 2024-08-20T21:38:18.2234067Z inflating: build/lib/torch/include/ATen/ops/sym_constrain_range_for_size_ops.h 2024-08-20T21:38:18.2234401Z inflating: build/lib/torch/include/ATen/ops/sym_constrain_range_native.h 2024-08-20T21:38:18.2234728Z inflating: build/lib/torch/include/ATen/ops/sym_constrain_range_ops.h 2024-08-20T21:38:18.2234957Z inflating: build/lib/torch/include/ATen/ops/sym_numel.h 2024-08-20T21:38:18.2235525Z inflating: build/lib/torch/include/ATen/ops/sym_numel_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2235810Z inflating: build/lib/torch/include/ATen/ops/sym_numel_native.h 2024-08-20T21:38:18.2236062Z inflating: build/lib/torch/include/ATen/ops/sym_numel_ops.h 2024-08-20T21:38:18.2236292Z inflating: build/lib/torch/include/ATen/ops/sym_size.h 2024-08-20T21:38:18.2236746Z inflating: build/lib/torch/include/ATen/ops/sym_size_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2237011Z inflating: build/lib/torch/include/ATen/ops/sym_size_native.h 2024-08-20T21:38:18.2237263Z inflating: build/lib/torch/include/ATen/ops/sym_size_ops.h 2024-08-20T21:38:18.2237549Z inflating: build/lib/torch/include/ATen/ops/sym_storage_offset.h 2024-08-20T21:38:18.2238065Z inflating: build/lib/torch/include/ATen/ops/sym_storage_offset_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2238480Z inflating: build/lib/torch/include/ATen/ops/sym_storage_offset_native.h 2024-08-20T21:38:18.2238785Z inflating: build/lib/torch/include/ATen/ops/sym_storage_offset_ops.h 2024-08-20T21:38:18.2239011Z inflating: build/lib/torch/include/ATen/ops/sym_stride.h 2024-08-20T21:38:18.2239486Z inflating: build/lib/torch/include/ATen/ops/sym_stride_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2239761Z inflating: build/lib/torch/include/ATen/ops/sym_stride_native.h 2024-08-20T21:38:18.2240033Z inflating: build/lib/torch/include/ATen/ops/sym_stride_ops.h 2024-08-20T21:38:18.2240212Z inflating: build/lib/torch/include/ATen/ops/t.h 2024-08-20T21:38:18.2240618Z inflating: build/lib/torch/include/ATen/ops/t_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2240842Z inflating: build/lib/torch/include/ATen/ops/t_copy.h 2024-08-20T21:38:18.2241277Z inflating: build/lib/torch/include/ATen/ops/t_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2241814Z inflating: build/lib/torch/include/ATen/ops/t_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2242079Z inflating: build/lib/torch/include/ATen/ops/t_copy_native.h 2024-08-20T21:38:18.2242303Z inflating: build/lib/torch/include/ATen/ops/t_copy_ops.h 2024-08-20T21:38:18.2242595Z inflating: build/lib/torch/include/ATen/ops/t_native.h 2024-08-20T21:38:18.2242810Z inflating: build/lib/torch/include/ATen/ops/t_ops.h 2024-08-20T21:38:18.2243002Z inflating: build/lib/torch/include/ATen/ops/take.h 2024-08-20T21:38:18.2243268Z inflating: build/lib/torch/include/ATen/ops/take_along_dim.h 2024-08-20T21:38:18.2243761Z inflating: build/lib/torch/include/ATen/ops/take_along_dim_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2244091Z inflating: build/lib/torch/include/ATen/ops/take_along_dim_native.h 2024-08-20T21:38:18.2244386Z inflating: build/lib/torch/include/ATen/ops/take_along_dim_ops.h 2024-08-20T21:38:18.2244675Z inflating: build/lib/torch/include/ATen/ops/take_cpu_dispatch.h 2024-08-20T21:38:18.2244957Z inflating: build/lib/torch/include/ATen/ops/take_cuda_dispatch.h 2024-08-20T21:38:18.2245203Z inflating: build/lib/torch/include/ATen/ops/take_native.h 2024-08-20T21:38:18.2245414Z inflating: build/lib/torch/include/ATen/ops/take_ops.h 2024-08-20T21:38:18.2245604Z inflating: build/lib/torch/include/ATen/ops/tan.h 2024-08-20T21:38:18.2246135Z inflating: build/lib/torch/include/ATen/ops/tan_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2246405Z inflating: build/lib/torch/include/ATen/ops/tan_cpu_dispatch.h 2024-08-20T21:38:18.2246690Z inflating: build/lib/torch/include/ATen/ops/tan_cuda_dispatch.h 2024-08-20T21:38:18.2246907Z inflating: build/lib/torch/include/ATen/ops/tan_meta.h 2024-08-20T21:38:18.2247181Z inflating: build/lib/torch/include/ATen/ops/tan_meta_dispatch.h 2024-08-20T21:38:18.2247428Z inflating: build/lib/torch/include/ATen/ops/tan_native.h 2024-08-20T21:38:18.2247641Z inflating: build/lib/torch/include/ATen/ops/tan_ops.h 2024-08-20T21:38:18.2247891Z inflating: build/lib/torch/include/ATen/ops/tanh.h 2024-08-20T21:38:18.2248155Z inflating: build/lib/torch/include/ATen/ops/tanh_backward.h 2024-08-20T21:38:18.2248740Z inflating: build/lib/torch/include/ATen/ops/tanh_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2249089Z inflating: build/lib/torch/include/ATen/ops/tanh_backward_cpu_dispatch.h 2024-08-20T21:38:18.2249427Z inflating: build/lib/torch/include/ATen/ops/tanh_backward_cuda_dispatch.h 2024-08-20T21:38:18.2249707Z inflating: build/lib/torch/include/ATen/ops/tanh_backward_meta.h 2024-08-20T21:38:18.2250060Z inflating: build/lib/torch/include/ATen/ops/tanh_backward_meta_dispatch.h 2024-08-20T21:38:18.2250353Z inflating: build/lib/torch/include/ATen/ops/tanh_backward_native.h 2024-08-20T21:38:18.2250626Z inflating: build/lib/torch/include/ATen/ops/tanh_backward_ops.h 2024-08-20T21:38:18.2251225Z inflating: build/lib/torch/include/ATen/ops/tanh_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2251507Z inflating: build/lib/torch/include/ATen/ops/tanh_cpu_dispatch.h 2024-08-20T21:38:18.2251788Z inflating: build/lib/torch/include/ATen/ops/tanh_cuda_dispatch.h 2024-08-20T21:38:18.2252018Z inflating: build/lib/torch/include/ATen/ops/tanh_meta.h 2024-08-20T21:38:18.2252304Z inflating: build/lib/torch/include/ATen/ops/tanh_meta_dispatch.h 2024-08-20T21:38:18.2252545Z inflating: build/lib/torch/include/ATen/ops/tanh_native.h 2024-08-20T21:38:18.2252758Z inflating: build/lib/torch/include/ATen/ops/tanh_ops.h 2024-08-20T21:38:18.2252997Z inflating: build/lib/torch/include/ATen/ops/tensor_split.h 2024-08-20T21:38:18.2253492Z inflating: build/lib/torch/include/ATen/ops/tensor_split_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2253778Z inflating: build/lib/torch/include/ATen/ops/tensor_split_native.h 2024-08-20T21:38:18.2254049Z inflating: build/lib/torch/include/ATen/ops/tensor_split_ops.h 2024-08-20T21:38:18.2254288Z inflating: build/lib/torch/include/ATen/ops/tensordot.h 2024-08-20T21:38:18.2254754Z inflating: build/lib/torch/include/ATen/ops/tensordot_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2255021Z inflating: build/lib/torch/include/ATen/ops/tensordot_native.h 2024-08-20T21:38:18.2255287Z inflating: build/lib/torch/include/ATen/ops/tensordot_ops.h 2024-08-20T21:38:18.2255520Z inflating: build/lib/torch/include/ATen/ops/thnn_conv2d.h 2024-08-20T21:38:18.2255997Z inflating: build/lib/torch/include/ATen/ops/thnn_conv2d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2256274Z inflating: build/lib/torch/include/ATen/ops/thnn_conv2d_native.h 2024-08-20T21:38:18.2256531Z inflating: build/lib/torch/include/ATen/ops/thnn_conv2d_ops.h 2024-08-20T21:38:18.2256767Z inflating: build/lib/torch/include/ATen/ops/threshold.h 2024-08-20T21:38:18.2257054Z inflating: build/lib/torch/include/ATen/ops/threshold_backward.h 2024-08-20T21:38:18.2257683Z inflating: build/lib/torch/include/ATen/ops/threshold_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2258072Z inflating: build/lib/torch/include/ATen/ops/threshold_backward_cpu_dispatch.h 2024-08-20T21:38:18.2258451Z inflating: build/lib/torch/include/ATen/ops/threshold_backward_cuda_dispatch.h 2024-08-20T21:38:18.2258779Z inflating: build/lib/torch/include/ATen/ops/threshold_backward_meta.h 2024-08-20T21:38:18.2259153Z inflating: build/lib/torch/include/ATen/ops/threshold_backward_meta_dispatch.h 2024-08-20T21:38:18.2259487Z inflating: build/lib/torch/include/ATen/ops/threshold_backward_native.h 2024-08-20T21:38:18.2259897Z inflating: build/lib/torch/include/ATen/ops/threshold_backward_ops.h 2024-08-20T21:38:18.2260475Z inflating: build/lib/torch/include/ATen/ops/threshold_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2260796Z inflating: build/lib/torch/include/ATen/ops/threshold_cpu_dispatch.h 2024-08-20T21:38:18.2261186Z inflating: build/lib/torch/include/ATen/ops/threshold_cuda_dispatch.h 2024-08-20T21:38:18.2261442Z inflating: build/lib/torch/include/ATen/ops/threshold_meta.h 2024-08-20T21:38:18.2261770Z inflating: build/lib/torch/include/ATen/ops/threshold_meta_dispatch.h 2024-08-20T21:38:18.2262042Z inflating: build/lib/torch/include/ATen/ops/threshold_native.h 2024-08-20T21:38:18.2262316Z inflating: build/lib/torch/include/ATen/ops/threshold_ops.h 2024-08-20T21:38:18.2262519Z inflating: build/lib/torch/include/ATen/ops/tile.h 2024-08-20T21:38:18.2262949Z inflating: build/lib/torch/include/ATen/ops/tile_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2263180Z inflating: build/lib/torch/include/ATen/ops/tile_native.h 2024-08-20T21:38:18.2263405Z inflating: build/lib/torch/include/ATen/ops/tile_ops.h 2024-08-20T21:38:18.2263642Z inflating: build/lib/torch/include/ATen/ops/to.h 2024-08-20T21:38:18.2264056Z inflating: build/lib/torch/include/ATen/ops/to_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2264308Z inflating: build/lib/torch/include/ATen/ops/to_dense.h 2024-08-20T21:38:18.2264621Z inflating: build/lib/torch/include/ATen/ops/to_dense_backward.h 2024-08-20T21:38:18.2265132Z inflating: build/lib/torch/include/ATen/ops/to_dense_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2265458Z inflating: build/lib/torch/include/ATen/ops/to_dense_backward_native.h 2024-08-20T21:38:18.2265757Z inflating: build/lib/torch/include/ATen/ops/to_dense_backward_ops.h 2024-08-20T21:38:18.2266211Z inflating: build/lib/torch/include/ATen/ops/to_dense_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2266469Z inflating: build/lib/torch/include/ATen/ops/to_dense_native.h 2024-08-20T21:38:18.2266706Z inflating: build/lib/torch/include/ATen/ops/to_dense_ops.h 2024-08-20T21:38:18.2266940Z inflating: build/lib/torch/include/ATen/ops/to_mkldnn.h 2024-08-20T21:38:18.2267227Z inflating: build/lib/torch/include/ATen/ops/to_mkldnn_backward.h 2024-08-20T21:38:18.2267775Z inflating: build/lib/torch/include/ATen/ops/to_mkldnn_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2268118Z inflating: build/lib/torch/include/ATen/ops/to_mkldnn_backward_native.h 2024-08-20T21:38:18.2268424Z inflating: build/lib/torch/include/ATen/ops/to_mkldnn_backward_ops.h 2024-08-20T21:38:18.2268894Z inflating: build/lib/torch/include/ATen/ops/to_mkldnn_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2269205Z inflating: build/lib/torch/include/ATen/ops/to_mkldnn_cpu_dispatch.h 2024-08-20T21:38:18.2269473Z inflating: build/lib/torch/include/ATen/ops/to_mkldnn_native.h 2024-08-20T21:38:18.2269733Z inflating: build/lib/torch/include/ATen/ops/to_mkldnn_ops.h 2024-08-20T21:38:18.2269954Z inflating: build/lib/torch/include/ATen/ops/to_native.h 2024-08-20T21:38:18.2270168Z inflating: build/lib/torch/include/ATen/ops/to_ops.h 2024-08-20T21:38:18.2270455Z inflating: build/lib/torch/include/ATen/ops/to_padded_tensor.h 2024-08-20T21:38:18.2270954Z inflating: build/lib/torch/include/ATen/ops/to_padded_tensor_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2271280Z inflating: build/lib/torch/include/ATen/ops/to_padded_tensor_native.h 2024-08-20T21:38:18.2271601Z inflating: build/lib/torch/include/ATen/ops/to_padded_tensor_ops.h 2024-08-20T21:38:18.2271845Z inflating: build/lib/torch/include/ATen/ops/to_sparse.h 2024-08-20T21:38:18.2272111Z inflating: build/lib/torch/include/ATen/ops/to_sparse_bsc.h 2024-08-20T21:38:18.2272587Z inflating: build/lib/torch/include/ATen/ops/to_sparse_bsc_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2272877Z inflating: build/lib/torch/include/ATen/ops/to_sparse_bsc_native.h 2024-08-20T21:38:18.2273159Z inflating: build/lib/torch/include/ATen/ops/to_sparse_bsc_ops.h 2024-08-20T21:38:18.2273410Z inflating: build/lib/torch/include/ATen/ops/to_sparse_bsr.h 2024-08-20T21:38:18.2273960Z inflating: build/lib/torch/include/ATen/ops/to_sparse_bsr_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2274267Z inflating: build/lib/torch/include/ATen/ops/to_sparse_bsr_native.h 2024-08-20T21:38:18.2274540Z inflating: build/lib/torch/include/ATen/ops/to_sparse_bsr_ops.h 2024-08-20T21:38:18.2275007Z inflating: build/lib/torch/include/ATen/ops/to_sparse_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2275255Z inflating: build/lib/torch/include/ATen/ops/to_sparse_csc.h 2024-08-20T21:38:18.2275729Z inflating: build/lib/torch/include/ATen/ops/to_sparse_csc_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2276082Z inflating: build/lib/torch/include/ATen/ops/to_sparse_csc_native.h 2024-08-20T21:38:18.2276357Z inflating: build/lib/torch/include/ATen/ops/to_sparse_csc_ops.h 2024-08-20T21:38:18.2276605Z inflating: build/lib/torch/include/ATen/ops/to_sparse_csr.h 2024-08-20T21:38:18.2277139Z inflating: build/lib/torch/include/ATen/ops/to_sparse_csr_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2277432Z inflating: build/lib/torch/include/ATen/ops/to_sparse_csr_native.h 2024-08-20T21:38:18.2277717Z inflating: build/lib/torch/include/ATen/ops/to_sparse_csr_ops.h 2024-08-20T21:38:18.2277980Z inflating: build/lib/torch/include/ATen/ops/to_sparse_native.h 2024-08-20T21:38:18.2278230Z inflating: build/lib/torch/include/ATen/ops/to_sparse_ops.h 2024-08-20T21:38:18.2278437Z inflating: build/lib/torch/include/ATen/ops/topk.h 2024-08-20T21:38:18.2278965Z inflating: build/lib/torch/include/ATen/ops/topk_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2279241Z inflating: build/lib/torch/include/ATen/ops/topk_cpu_dispatch.h 2024-08-20T21:38:18.2279532Z inflating: build/lib/torch/include/ATen/ops/topk_cuda_dispatch.h 2024-08-20T21:38:18.2279754Z inflating: build/lib/torch/include/ATen/ops/topk_meta.h 2024-08-20T21:38:18.2280036Z inflating: build/lib/torch/include/ATen/ops/topk_meta_dispatch.h 2024-08-20T21:38:18.2280281Z inflating: build/lib/torch/include/ATen/ops/topk_native.h 2024-08-20T21:38:18.2280495Z inflating: build/lib/torch/include/ATen/ops/topk_ops.h 2024-08-20T21:38:18.2280708Z inflating: build/lib/torch/include/ATen/ops/trace.h 2024-08-20T21:38:18.2280966Z inflating: build/lib/torch/include/ATen/ops/trace_backward.h 2024-08-20T21:38:18.2281453Z inflating: build/lib/torch/include/ATen/ops/trace_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2281763Z inflating: build/lib/torch/include/ATen/ops/trace_backward_native.h 2024-08-20T21:38:18.2282043Z inflating: build/lib/torch/include/ATen/ops/trace_backward_ops.h 2024-08-20T21:38:18.2282478Z inflating: build/lib/torch/include/ATen/ops/trace_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2282773Z inflating: build/lib/torch/include/ATen/ops/trace_cpu_dispatch.h 2024-08-20T21:38:18.2283061Z inflating: build/lib/torch/include/ATen/ops/trace_cuda_dispatch.h 2024-08-20T21:38:18.2283303Z inflating: build/lib/torch/include/ATen/ops/trace_native.h 2024-08-20T21:38:18.2283536Z inflating: build/lib/torch/include/ATen/ops/trace_ops.h 2024-08-20T21:38:18.2283758Z inflating: build/lib/torch/include/ATen/ops/transpose.h 2024-08-20T21:38:18.2284235Z inflating: build/lib/torch/include/ATen/ops/transpose_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2284698Z inflating: build/lib/torch/include/ATen/ops/transpose_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2284955Z inflating: build/lib/torch/include/ATen/ops/transpose_copy.h 2024-08-20T21:38:18.2285467Z inflating: build/lib/torch/include/ATen/ops/transpose_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2286068Z inflating: build/lib/torch/include/ATen/ops/transpose_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2286373Z inflating: build/lib/torch/include/ATen/ops/transpose_copy_native.h 2024-08-20T21:38:18.2286673Z inflating: build/lib/torch/include/ATen/ops/transpose_copy_ops.h 2024-08-20T21:38:18.2286991Z inflating: build/lib/torch/include/ATen/ops/transpose_native.h 2024-08-20T21:38:18.2287258Z inflating: build/lib/torch/include/ATen/ops/transpose_ops.h 2024-08-20T21:38:18.2287481Z inflating: build/lib/torch/include/ATen/ops/trapezoid.h 2024-08-20T21:38:18.2287945Z inflating: build/lib/torch/include/ATen/ops/trapezoid_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2288226Z inflating: build/lib/torch/include/ATen/ops/trapezoid_native.h 2024-08-20T21:38:18.2288477Z inflating: build/lib/torch/include/ATen/ops/trapezoid_ops.h 2024-08-20T21:38:18.2288682Z inflating: build/lib/torch/include/ATen/ops/trapz.h 2024-08-20T21:38:18.2289124Z inflating: build/lib/torch/include/ATen/ops/trapz_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2289367Z inflating: build/lib/torch/include/ATen/ops/trapz_native.h 2024-08-20T21:38:18.2289644Z inflating: build/lib/torch/include/ATen/ops/trapz_ops.h 2024-08-20T21:38:18.2289931Z inflating: build/lib/torch/include/ATen/ops/triangular_solve.h 2024-08-20T21:38:18.2290543Z inflating: build/lib/torch/include/ATen/ops/triangular_solve_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2290913Z inflating: build/lib/torch/include/ATen/ops/triangular_solve_cpu_dispatch.h 2024-08-20T21:38:18.2291281Z inflating: build/lib/torch/include/ATen/ops/triangular_solve_cuda_dispatch.h 2024-08-20T21:38:18.2291583Z inflating: build/lib/torch/include/ATen/ops/triangular_solve_meta.h 2024-08-20T21:38:18.2291960Z inflating: build/lib/torch/include/ATen/ops/triangular_solve_meta_dispatch.h 2024-08-20T21:38:18.2292282Z inflating: build/lib/torch/include/ATen/ops/triangular_solve_native.h 2024-08-20T21:38:18.2292579Z inflating: build/lib/torch/include/ATen/ops/triangular_solve_ops.h 2024-08-20T21:38:18.2292780Z inflating: build/lib/torch/include/ATen/ops/tril.h 2024-08-20T21:38:18.2293306Z inflating: build/lib/torch/include/ATen/ops/tril_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2293603Z inflating: build/lib/torch/include/ATen/ops/tril_cpu_dispatch.h 2024-08-20T21:38:18.2293885Z inflating: build/lib/torch/include/ATen/ops/tril_cuda_dispatch.h 2024-08-20T21:38:18.2294122Z inflating: build/lib/torch/include/ATen/ops/tril_indices.h 2024-08-20T21:38:18.2294612Z inflating: build/lib/torch/include/ATen/ops/tril_indices_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2294941Z inflating: build/lib/torch/include/ATen/ops/tril_indices_cpu_dispatch.h 2024-08-20T21:38:18.2295272Z inflating: build/lib/torch/include/ATen/ops/tril_indices_cuda_dispatch.h 2024-08-20T21:38:18.2295565Z inflating: build/lib/torch/include/ATen/ops/tril_indices_native.h 2024-08-20T21:38:18.2295833Z inflating: build/lib/torch/include/ATen/ops/tril_indices_ops.h 2024-08-20T21:38:18.2296053Z inflating: build/lib/torch/include/ATen/ops/tril_meta.h 2024-08-20T21:38:18.2296348Z inflating: build/lib/torch/include/ATen/ops/tril_meta_dispatch.h 2024-08-20T21:38:18.2296579Z inflating: build/lib/torch/include/ATen/ops/tril_native.h 2024-08-20T21:38:18.2296803Z inflating: build/lib/torch/include/ATen/ops/tril_ops.h 2024-08-20T21:38:18.2297087Z inflating: build/lib/torch/include/ATen/ops/triplet_margin_loss.h 2024-08-20T21:38:18.2297604Z inflating: build/lib/torch/include/ATen/ops/triplet_margin_loss_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2297953Z inflating: build/lib/torch/include/ATen/ops/triplet_margin_loss_native.h 2024-08-20T21:38:18.2298548Z inflating: build/lib/torch/include/ATen/ops/triplet_margin_loss_ops.h 2024-08-20T21:38:18.2298740Z inflating: build/lib/torch/include/ATen/ops/triu.h 2024-08-20T21:38:18.2299282Z inflating: build/lib/torch/include/ATen/ops/triu_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2299563Z inflating: build/lib/torch/include/ATen/ops/triu_cpu_dispatch.h 2024-08-20T21:38:18.2299972Z inflating: build/lib/torch/include/ATen/ops/triu_cuda_dispatch.h 2024-08-20T21:38:18.2300293Z inflating: build/lib/torch/include/ATen/ops/triu_indices.h 2024-08-20T21:38:18.2300766Z inflating: build/lib/torch/include/ATen/ops/triu_indices_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2301107Z inflating: build/lib/torch/include/ATen/ops/triu_indices_cpu_dispatch.h 2024-08-20T21:38:18.2301439Z inflating: build/lib/torch/include/ATen/ops/triu_indices_cuda_dispatch.h 2024-08-20T21:38:18.2301721Z inflating: build/lib/torch/include/ATen/ops/triu_indices_native.h 2024-08-20T21:38:18.2301999Z inflating: build/lib/torch/include/ATen/ops/triu_indices_ops.h 2024-08-20T21:38:18.2302217Z inflating: build/lib/torch/include/ATen/ops/triu_meta.h 2024-08-20T21:38:18.2302497Z inflating: build/lib/torch/include/ATen/ops/triu_meta_dispatch.h 2024-08-20T21:38:18.2302741Z inflating: build/lib/torch/include/ATen/ops/triu_native.h 2024-08-20T21:38:18.2303009Z inflating: build/lib/torch/include/ATen/ops/triu_ops.h 2024-08-20T21:38:18.2303253Z inflating: build/lib/torch/include/ATen/ops/true_divide.h 2024-08-20T21:38:18.2303721Z inflating: build/lib/torch/include/ATen/ops/true_divide_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2304000Z inflating: build/lib/torch/include/ATen/ops/true_divide_native.h 2024-08-20T21:38:18.2304268Z inflating: build/lib/torch/include/ATen/ops/true_divide_ops.h 2024-08-20T21:38:18.2304469Z inflating: build/lib/torch/include/ATen/ops/trunc.h 2024-08-20T21:38:18.2304999Z inflating: build/lib/torch/include/ATen/ops/trunc_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2305290Z inflating: build/lib/torch/include/ATen/ops/trunc_cpu_dispatch.h 2024-08-20T21:38:18.2305575Z inflating: build/lib/torch/include/ATen/ops/trunc_cuda_dispatch.h 2024-08-20T21:38:18.2305811Z inflating: build/lib/torch/include/ATen/ops/trunc_meta.h 2024-08-20T21:38:18.2306096Z inflating: build/lib/torch/include/ATen/ops/trunc_meta_dispatch.h 2024-08-20T21:38:18.2306339Z inflating: build/lib/torch/include/ATen/ops/trunc_native.h 2024-08-20T21:38:18.2306570Z inflating: build/lib/torch/include/ATen/ops/trunc_ops.h 2024-08-20T21:38:18.2306776Z inflating: build/lib/torch/include/ATen/ops/type_as.h 2024-08-20T21:38:18.2307220Z inflating: build/lib/torch/include/ATen/ops/type_as_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2307487Z inflating: build/lib/torch/include/ATen/ops/type_as_native.h 2024-08-20T21:38:18.2307716Z inflating: build/lib/torch/include/ATen/ops/type_as_ops.h 2024-08-20T21:38:18.2307920Z inflating: build/lib/torch/include/ATen/ops/unbind.h 2024-08-20T21:38:18.2308373Z inflating: build/lib/torch/include/ATen/ops/unbind_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2308815Z inflating: build/lib/torch/include/ATen/ops/unbind_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2309061Z inflating: build/lib/torch/include/ATen/ops/unbind_copy.h 2024-08-20T21:38:18.2309542Z inflating: build/lib/torch/include/ATen/ops/unbind_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2310115Z inflating: build/lib/torch/include/ATen/ops/unbind_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2310411Z inflating: build/lib/torch/include/ATen/ops/unbind_copy_native.h 2024-08-20T21:38:18.2310671Z inflating: build/lib/torch/include/ATen/ops/unbind_copy_ops.h 2024-08-20T21:38:18.2310925Z inflating: build/lib/torch/include/ATen/ops/unbind_native.h 2024-08-20T21:38:18.2311404Z inflating: build/lib/torch/include/ATen/ops/unflatten_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2311723Z inflating: build/lib/torch/include/ATen/ops/unflatten_dense_tensors.h 2024-08-20T21:38:18.2312276Z inflating: build/lib/torch/include/ATen/ops/unflatten_dense_tensors_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2312657Z inflating: build/lib/torch/include/ATen/ops/unflatten_dense_tensors_native.h 2024-08-20T21:38:18.2313048Z inflating: build/lib/torch/include/ATen/ops/unflatten_dense_tensors_ops.h 2024-08-20T21:38:18.2313334Z inflating: build/lib/torch/include/ATen/ops/unflatten_native.h 2024-08-20T21:38:18.2313588Z inflating: build/lib/torch/include/ATen/ops/unflatten_ops.h 2024-08-20T21:38:18.2313794Z inflating: build/lib/torch/include/ATen/ops/unfold.h 2024-08-20T21:38:18.2314065Z inflating: build/lib/torch/include/ATen/ops/unfold_backward.h 2024-08-20T21:38:18.2314565Z inflating: build/lib/torch/include/ATen/ops/unfold_backward_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2314915Z inflating: build/lib/torch/include/ATen/ops/unfold_backward_cpu_dispatch.h 2024-08-20T21:38:18.2315283Z inflating: build/lib/torch/include/ATen/ops/unfold_backward_cuda_dispatch.h 2024-08-20T21:38:18.2315596Z inflating: build/lib/torch/include/ATen/ops/unfold_backward_native.h 2024-08-20T21:38:18.2315957Z inflating: build/lib/torch/include/ATen/ops/unfold_backward_ops.h 2024-08-20T21:38:18.2316190Z inflating: build/lib/torch/include/ATen/ops/unfold_copy.h 2024-08-20T21:38:18.2316663Z inflating: build/lib/torch/include/ATen/ops/unfold_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2317246Z inflating: build/lib/torch/include/ATen/ops/unfold_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2317528Z inflating: build/lib/torch/include/ATen/ops/unfold_copy_native.h 2024-08-20T21:38:18.2317789Z inflating: build/lib/torch/include/ATen/ops/unfold_copy_ops.h 2024-08-20T21:38:18.2318082Z inflating: build/lib/torch/include/ATen/ops/unfold_cpu_dispatch.h 2024-08-20T21:38:18.2318376Z inflating: build/lib/torch/include/ATen/ops/unfold_cuda_dispatch.h 2024-08-20T21:38:18.2318682Z inflating: build/lib/torch/include/ATen/ops/unfold_meta_dispatch.h 2024-08-20T21:38:18.2318933Z inflating: build/lib/torch/include/ATen/ops/unfold_native.h 2024-08-20T21:38:18.2319168Z inflating: build/lib/torch/include/ATen/ops/unfold_ops.h 2024-08-20T21:38:18.2319396Z inflating: build/lib/torch/include/ATen/ops/uniform.h 2024-08-20T21:38:18.2319849Z inflating: build/lib/torch/include/ATen/ops/uniform_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2320144Z inflating: build/lib/torch/include/ATen/ops/uniform_cpu_dispatch.h 2024-08-20T21:38:18.2320462Z inflating: build/lib/torch/include/ATen/ops/uniform_cuda_dispatch.h 2024-08-20T21:38:18.2320767Z inflating: build/lib/torch/include/ATen/ops/uniform_meta_dispatch.h 2024-08-20T21:38:18.2321022Z inflating: build/lib/torch/include/ATen/ops/uniform_native.h 2024-08-20T21:38:18.2321267Z inflating: build/lib/torch/include/ATen/ops/uniform_ops.h 2024-08-20T21:38:18.2321550Z inflating: build/lib/torch/include/ATen/ops/unique_consecutive.h 2024-08-20T21:38:18.2322077Z inflating: build/lib/torch/include/ATen/ops/unique_consecutive_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2322453Z inflating: build/lib/torch/include/ATen/ops/unique_consecutive_cpu_dispatch.h 2024-08-20T21:38:18.2322833Z inflating: build/lib/torch/include/ATen/ops/unique_consecutive_cuda_dispatch.h 2024-08-20T21:38:18.2323256Z inflating: build/lib/torch/include/ATen/ops/unique_consecutive_native.h 2024-08-20T21:38:18.2323587Z inflating: build/lib/torch/include/ATen/ops/unique_consecutive_ops.h 2024-08-20T21:38:18.2323816Z inflating: build/lib/torch/include/ATen/ops/unique_dim.h 2024-08-20T21:38:18.2324293Z inflating: build/lib/torch/include/ATen/ops/unique_dim_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2324605Z inflating: build/lib/torch/include/ATen/ops/unique_dim_consecutive.h 2024-08-20T21:38:18.2325143Z inflating: build/lib/torch/include/ATen/ops/unique_dim_consecutive_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2325551Z inflating: build/lib/torch/include/ATen/ops/unique_dim_consecutive_cpu_dispatch.h 2024-08-20T21:38:18.2326121Z inflating: build/lib/torch/include/ATen/ops/unique_dim_consecutive_cuda_dispatch.h 2024-08-20T21:38:18.2326618Z inflating: build/lib/torch/include/ATen/ops/unique_dim_consecutive_native.h 2024-08-20T21:38:18.2326962Z inflating: build/lib/torch/include/ATen/ops/unique_dim_consecutive_ops.h 2024-08-20T21:38:18.2327285Z inflating: build/lib/torch/include/ATen/ops/unique_dim_cpu_dispatch.h 2024-08-20T21:38:18.2327625Z inflating: build/lib/torch/include/ATen/ops/unique_dim_cuda_dispatch.h 2024-08-20T21:38:18.2327904Z inflating: build/lib/torch/include/ATen/ops/unique_dim_native.h 2024-08-20T21:38:18.2328164Z inflating: build/lib/torch/include/ATen/ops/unique_dim_ops.h 2024-08-20T21:38:18.2328420Z inflating: build/lib/torch/include/ATen/ops/unsafe_chunk.h 2024-08-20T21:38:18.2328903Z inflating: build/lib/torch/include/ATen/ops/unsafe_chunk_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2329205Z inflating: build/lib/torch/include/ATen/ops/unsafe_chunk_native.h 2024-08-20T21:38:18.2329550Z inflating: build/lib/torch/include/ATen/ops/unsafe_chunk_ops.h 2024-08-20T21:38:18.2329797Z inflating: build/lib/torch/include/ATen/ops/unsafe_split.h 2024-08-20T21:38:18.2330289Z inflating: build/lib/torch/include/ATen/ops/unsafe_split_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2330579Z inflating: build/lib/torch/include/ATen/ops/unsafe_split_native.h 2024-08-20T21:38:18.2330848Z inflating: build/lib/torch/include/ATen/ops/unsafe_split_ops.h 2024-08-20T21:38:18.2331181Z inflating: build/lib/torch/include/ATen/ops/unsafe_split_with_sizes.h 2024-08-20T21:38:18.2331726Z inflating: build/lib/torch/include/ATen/ops/unsafe_split_with_sizes_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2332099Z inflating: build/lib/torch/include/ATen/ops/unsafe_split_with_sizes_native.h 2024-08-20T21:38:18.2332438Z inflating: build/lib/torch/include/ATen/ops/unsafe_split_with_sizes_ops.h 2024-08-20T21:38:18.2332663Z inflating: build/lib/torch/include/ATen/ops/unsqueeze.h 2024-08-20T21:38:18.2333148Z inflating: build/lib/torch/include/ATen/ops/unsqueeze_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2333418Z inflating: build/lib/torch/include/ATen/ops/unsqueeze_copy.h 2024-08-20T21:38:18.2333918Z inflating: build/lib/torch/include/ATen/ops/unsqueeze_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2334527Z inflating: build/lib/torch/include/ATen/ops/unsqueeze_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2334832Z inflating: build/lib/torch/include/ATen/ops/unsqueeze_copy_native.h 2024-08-20T21:38:18.2335117Z inflating: build/lib/torch/include/ATen/ops/unsqueeze_copy_ops.h 2024-08-20T21:38:18.2335402Z inflating: build/lib/torch/include/ATen/ops/unsqueeze_native.h 2024-08-20T21:38:18.2335652Z inflating: build/lib/torch/include/ATen/ops/unsqueeze_ops.h 2024-08-20T21:38:18.2335948Z inflating: build/lib/torch/include/ATen/ops/upsample_bicubic2d.h 2024-08-20T21:38:18.2336298Z inflating: build/lib/torch/include/ATen/ops/upsample_bicubic2d_backward.h 2024-08-20T21:38:18.2336983Z inflating: build/lib/torch/include/ATen/ops/upsample_bicubic2d_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2337422Z inflating: build/lib/torch/include/ATen/ops/upsample_bicubic2d_backward_cpu_dispatch.h 2024-08-20T21:38:18.2337855Z inflating: build/lib/torch/include/ATen/ops/upsample_bicubic2d_backward_cuda_dispatch.h 2024-08-20T21:38:18.2338233Z inflating: build/lib/torch/include/ATen/ops/upsample_bicubic2d_backward_meta.h 2024-08-20T21:38:18.2338676Z inflating: build/lib/torch/include/ATen/ops/upsample_bicubic2d_backward_meta_dispatch.h 2024-08-20T21:38:18.2339062Z inflating: build/lib/torch/include/ATen/ops/upsample_bicubic2d_backward_native.h 2024-08-20T21:38:18.2339444Z inflating: build/lib/torch/include/ATen/ops/upsample_bicubic2d_backward_ops.h 2024-08-20T21:38:18.2340152Z inflating: build/lib/torch/include/ATen/ops/upsample_bicubic2d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2340737Z inflating: build/lib/torch/include/ATen/ops/upsample_bicubic2d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2341129Z inflating: build/lib/torch/include/ATen/ops/upsample_bicubic2d_cpu_dispatch.h 2024-08-20T21:38:18.2341507Z inflating: build/lib/torch/include/ATen/ops/upsample_bicubic2d_cuda_dispatch.h 2024-08-20T21:38:18.2341827Z inflating: build/lib/torch/include/ATen/ops/upsample_bicubic2d_meta.h 2024-08-20T21:38:18.2342293Z inflating: build/lib/torch/include/ATen/ops/upsample_bicubic2d_meta_dispatch.h 2024-08-20T21:38:18.2342630Z inflating: build/lib/torch/include/ATen/ops/upsample_bicubic2d_native.h 2024-08-20T21:38:18.2342958Z inflating: build/lib/torch/include/ATen/ops/upsample_bicubic2d_ops.h 2024-08-20T21:38:18.2343246Z inflating: build/lib/torch/include/ATen/ops/upsample_bilinear2d.h 2024-08-20T21:38:18.2343596Z inflating: build/lib/torch/include/ATen/ops/upsample_bilinear2d_backward.h 2024-08-20T21:38:18.2344343Z inflating: build/lib/torch/include/ATen/ops/upsample_bilinear2d_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2344777Z inflating: build/lib/torch/include/ATen/ops/upsample_bilinear2d_backward_cpu_dispatch.h 2024-08-20T21:38:18.2345219Z inflating: build/lib/torch/include/ATen/ops/upsample_bilinear2d_backward_cuda_dispatch.h 2024-08-20T21:38:18.2345611Z inflating: build/lib/torch/include/ATen/ops/upsample_bilinear2d_backward_meta.h 2024-08-20T21:38:18.2346048Z inflating: build/lib/torch/include/ATen/ops/upsample_bilinear2d_backward_meta_dispatch.h 2024-08-20T21:38:18.2346451Z inflating: build/lib/torch/include/ATen/ops/upsample_bilinear2d_backward_native.h 2024-08-20T21:38:18.2346830Z inflating: build/lib/torch/include/ATen/ops/upsample_bilinear2d_backward_ops.h 2024-08-20T21:38:18.2347455Z inflating: build/lib/torch/include/ATen/ops/upsample_bilinear2d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2347998Z inflating: build/lib/torch/include/ATen/ops/upsample_bilinear2d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2348377Z inflating: build/lib/torch/include/ATen/ops/upsample_bilinear2d_cpu_dispatch.h 2024-08-20T21:38:18.2348757Z inflating: build/lib/torch/include/ATen/ops/upsample_bilinear2d_cuda_dispatch.h 2024-08-20T21:38:18.2349141Z inflating: build/lib/torch/include/ATen/ops/upsample_bilinear2d_meta.h 2024-08-20T21:38:18.2349537Z inflating: build/lib/torch/include/ATen/ops/upsample_bilinear2d_meta_dispatch.h 2024-08-20T21:38:18.2349889Z inflating: build/lib/torch/include/ATen/ops/upsample_bilinear2d_native.h 2024-08-20T21:38:18.2350213Z inflating: build/lib/torch/include/ATen/ops/upsample_bilinear2d_ops.h 2024-08-20T21:38:18.2350497Z inflating: build/lib/torch/include/ATen/ops/upsample_linear1d.h 2024-08-20T21:38:18.2350847Z inflating: build/lib/torch/include/ATen/ops/upsample_linear1d_backward.h 2024-08-20T21:38:18.2351513Z inflating: build/lib/torch/include/ATen/ops/upsample_linear1d_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2351941Z inflating: build/lib/torch/include/ATen/ops/upsample_linear1d_backward_cpu_dispatch.h 2024-08-20T21:38:18.2352378Z inflating: build/lib/torch/include/ATen/ops/upsample_linear1d_backward_cuda_dispatch.h 2024-08-20T21:38:18.2352749Z inflating: build/lib/torch/include/ATen/ops/upsample_linear1d_backward_meta.h 2024-08-20T21:38:18.2353185Z inflating: build/lib/torch/include/ATen/ops/upsample_linear1d_backward_meta_dispatch.h 2024-08-20T21:38:18.2353565Z inflating: build/lib/torch/include/ATen/ops/upsample_linear1d_backward_native.h 2024-08-20T21:38:18.2353928Z inflating: build/lib/torch/include/ATen/ops/upsample_linear1d_backward_ops.h 2024-08-20T21:38:18.2354555Z inflating: build/lib/torch/include/ATen/ops/upsample_linear1d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2355073Z inflating: build/lib/torch/include/ATen/ops/upsample_linear1d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2355509Z inflating: build/lib/torch/include/ATen/ops/upsample_linear1d_cpu_dispatch.h 2024-08-20T21:38:18.2355941Z inflating: build/lib/torch/include/ATen/ops/upsample_linear1d_cuda_dispatch.h 2024-08-20T21:38:18.2356251Z inflating: build/lib/torch/include/ATen/ops/upsample_linear1d_meta.h 2024-08-20T21:38:18.2356628Z inflating: build/lib/torch/include/ATen/ops/upsample_linear1d_meta_dispatch.h 2024-08-20T21:38:18.2356956Z inflating: build/lib/torch/include/ATen/ops/upsample_linear1d_native.h 2024-08-20T21:38:18.2357261Z inflating: build/lib/torch/include/ATen/ops/upsample_linear1d_ops.h 2024-08-20T21:38:18.2357558Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest1d.h 2024-08-20T21:38:18.2357901Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest1d_backward.h 2024-08-20T21:38:18.2358573Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest1d_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2359078Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest1d_backward_cpu_dispatch.h 2024-08-20T21:38:18.2359515Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest1d_backward_cuda_dispatch.h 2024-08-20T21:38:18.2359933Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest1d_backward_meta.h 2024-08-20T21:38:18.2360365Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest1d_backward_meta_dispatch.h 2024-08-20T21:38:18.2360754Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest1d_backward_native.h 2024-08-20T21:38:18.2361136Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest1d_backward_ops.h 2024-08-20T21:38:18.2361754Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest1d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2362277Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest1d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2362662Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest1d_cpu_dispatch.h 2024-08-20T21:38:18.2363045Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest1d_cuda_dispatch.h 2024-08-20T21:38:18.2363376Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest1d_meta.h 2024-08-20T21:38:18.2363751Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest1d_meta_dispatch.h 2024-08-20T21:38:18.2364083Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest1d_native.h 2024-08-20T21:38:18.2364409Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest1d_ops.h 2024-08-20T21:38:18.2364695Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest2d.h 2024-08-20T21:38:18.2365039Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest2d_backward.h 2024-08-20T21:38:18.2365726Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest2d_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2366159Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest2d_backward_cpu_dispatch.h 2024-08-20T21:38:18.2366606Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest2d_backward_cuda_dispatch.h 2024-08-20T21:38:18.2366985Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest2d_backward_meta.h 2024-08-20T21:38:18.2367418Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest2d_backward_meta_dispatch.h 2024-08-20T21:38:18.2367818Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest2d_backward_native.h 2024-08-20T21:38:18.2368189Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest2d_backward_ops.h 2024-08-20T21:38:18.2368816Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest2d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2369356Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest2d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2369725Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest2d_cpu_dispatch.h 2024-08-20T21:38:18.2370119Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest2d_cuda_dispatch.h 2024-08-20T21:38:18.2370493Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest2d_meta.h 2024-08-20T21:38:18.2370866Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest2d_meta_dispatch.h 2024-08-20T21:38:18.2371211Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest2d_native.h 2024-08-20T21:38:18.2371526Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest2d_ops.h 2024-08-20T21:38:18.2371810Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest3d.h 2024-08-20T21:38:18.2372163Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest3d_backward.h 2024-08-20T21:38:18.2372834Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest3d_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2373272Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest3d_backward_cpu_dispatch.h 2024-08-20T21:38:18.2373775Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest3d_backward_cuda_dispatch.h 2024-08-20T21:38:18.2374153Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest3d_backward_meta.h 2024-08-20T21:38:18.2374597Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest3d_backward_meta_dispatch.h 2024-08-20T21:38:18.2374985Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest3d_backward_native.h 2024-08-20T21:38:18.2375355Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest3d_backward_ops.h 2024-08-20T21:38:18.2375988Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest3d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2376511Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest3d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2376896Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest3d_cpu_dispatch.h 2024-08-20T21:38:18.2377276Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest3d_cuda_dispatch.h 2024-08-20T21:38:18.2377596Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest3d_meta.h 2024-08-20T21:38:18.2377982Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest3d_meta_dispatch.h 2024-08-20T21:38:18.2378317Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest3d_native.h 2024-08-20T21:38:18.2378629Z inflating: build/lib/torch/include/ATen/ops/upsample_nearest3d_ops.h 2024-08-20T21:38:18.2378945Z inflating: build/lib/torch/include/ATen/ops/upsample_trilinear3d.h 2024-08-20T21:38:18.2379303Z inflating: build/lib/torch/include/ATen/ops/upsample_trilinear3d_backward.h 2024-08-20T21:38:18.2380081Z inflating: build/lib/torch/include/ATen/ops/upsample_trilinear3d_backward_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2380527Z inflating: build/lib/torch/include/ATen/ops/upsample_trilinear3d_backward_cpu_dispatch.h 2024-08-20T21:38:18.2380977Z inflating: build/lib/torch/include/ATen/ops/upsample_trilinear3d_backward_cuda_dispatch.h 2024-08-20T21:38:18.2381388Z inflating: build/lib/torch/include/ATen/ops/upsample_trilinear3d_backward_meta.h 2024-08-20T21:38:18.2381832Z inflating: build/lib/torch/include/ATen/ops/upsample_trilinear3d_backward_meta_dispatch.h 2024-08-20T21:38:18.2382236Z inflating: build/lib/torch/include/ATen/ops/upsample_trilinear3d_backward_native.h 2024-08-20T21:38:18.2382632Z inflating: build/lib/torch/include/ATen/ops/upsample_trilinear3d_backward_ops.h 2024-08-20T21:38:18.2383265Z inflating: build/lib/torch/include/ATen/ops/upsample_trilinear3d_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2383812Z inflating: build/lib/torch/include/ATen/ops/upsample_trilinear3d_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2384195Z inflating: build/lib/torch/include/ATen/ops/upsample_trilinear3d_cpu_dispatch.h 2024-08-20T21:38:18.2384584Z inflating: build/lib/torch/include/ATen/ops/upsample_trilinear3d_cuda_dispatch.h 2024-08-20T21:38:18.2384934Z inflating: build/lib/torch/include/ATen/ops/upsample_trilinear3d_meta.h 2024-08-20T21:38:18.2385376Z inflating: build/lib/torch/include/ATen/ops/upsample_trilinear3d_meta_dispatch.h 2024-08-20T21:38:18.2385721Z inflating: build/lib/torch/include/ATen/ops/upsample_trilinear3d_native.h 2024-08-20T21:38:18.2386066Z inflating: build/lib/torch/include/ATen/ops/upsample_trilinear3d_ops.h 2024-08-20T21:38:18.2386448Z inflating: build/lib/torch/include/ATen/ops/value_selecting_reduction_backward.h 2024-08-20T21:38:18.2387071Z inflating: build/lib/torch/include/ATen/ops/value_selecting_reduction_backward_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2387496Z inflating: build/lib/torch/include/ATen/ops/value_selecting_reduction_backward_native.h 2024-08-20T21:38:18.2387904Z inflating: build/lib/torch/include/ATen/ops/value_selecting_reduction_backward_ops.h 2024-08-20T21:38:18.2388127Z inflating: build/lib/torch/include/ATen/ops/values.h 2024-08-20T21:38:18.2388619Z inflating: build/lib/torch/include/ATen/ops/values_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2388855Z inflating: build/lib/torch/include/ATen/ops/values_copy.h 2024-08-20T21:38:18.2389340Z inflating: build/lib/torch/include/ATen/ops/values_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2389904Z inflating: build/lib/torch/include/ATen/ops/values_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2390200Z inflating: build/lib/torch/include/ATen/ops/values_copy_native.h 2024-08-20T21:38:18.2390463Z inflating: build/lib/torch/include/ATen/ops/values_copy_ops.h 2024-08-20T21:38:18.2390713Z inflating: build/lib/torch/include/ATen/ops/values_native.h 2024-08-20T21:38:18.2390955Z inflating: build/lib/torch/include/ATen/ops/values_ops.h 2024-08-20T21:38:18.2391167Z inflating: build/lib/torch/include/ATen/ops/vander.h 2024-08-20T21:38:18.2391611Z inflating: build/lib/torch/include/ATen/ops/vander_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2391882Z inflating: build/lib/torch/include/ATen/ops/vander_native.h 2024-08-20T21:38:18.2392110Z inflating: build/lib/torch/include/ATen/ops/vander_ops.h 2024-08-20T21:38:18.2392299Z inflating: build/lib/torch/include/ATen/ops/var.h 2024-08-20T21:38:18.2392730Z inflating: build/lib/torch/include/ATen/ops/var_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2393000Z inflating: build/lib/torch/include/ATen/ops/var_cpu_dispatch.h 2024-08-20T21:38:18.2393284Z inflating: build/lib/torch/include/ATen/ops/var_cuda_dispatch.h 2024-08-20T21:38:18.2393499Z inflating: build/lib/torch/include/ATen/ops/var_mean.h 2024-08-20T21:38:18.2393950Z inflating: build/lib/torch/include/ATen/ops/var_mean_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2394407Z inflating: build/lib/torch/include/ATen/ops/var_mean_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2394707Z inflating: build/lib/torch/include/ATen/ops/var_mean_cpu_dispatch.h 2024-08-20T21:38:18.2395022Z inflating: build/lib/torch/include/ATen/ops/var_mean_cuda_dispatch.h 2024-08-20T21:38:18.2395295Z inflating: build/lib/torch/include/ATen/ops/var_mean_native.h 2024-08-20T21:38:18.2395535Z inflating: build/lib/torch/include/ATen/ops/var_mean_ops.h 2024-08-20T21:38:18.2395761Z inflating: build/lib/torch/include/ATen/ops/var_native.h 2024-08-20T21:38:18.2395983Z inflating: build/lib/torch/include/ATen/ops/var_ops.h 2024-08-20T21:38:18.2396174Z inflating: build/lib/torch/include/ATen/ops/vdot.h 2024-08-20T21:38:18.2396612Z inflating: build/lib/torch/include/ATen/ops/vdot_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2396888Z inflating: build/lib/torch/include/ATen/ops/vdot_cpu_dispatch.h 2024-08-20T21:38:18.2397168Z inflating: build/lib/torch/include/ATen/ops/vdot_cuda_dispatch.h 2024-08-20T21:38:18.2397407Z inflating: build/lib/torch/include/ATen/ops/vdot_native.h 2024-08-20T21:38:18.2397629Z inflating: build/lib/torch/include/ATen/ops/vdot_ops.h 2024-08-20T21:38:18.2397871Z inflating: build/lib/torch/include/ATen/ops/view.h 2024-08-20T21:38:18.2398094Z inflating: build/lib/torch/include/ATen/ops/view_as.h 2024-08-20T21:38:18.2398353Z inflating: build/lib/torch/include/ATen/ops/view_as_complex.h 2024-08-20T21:38:18.2398646Z inflating: build/lib/torch/include/ATen/ops/view_as_complex_copy.h 2024-08-20T21:38:18.2399180Z inflating: build/lib/torch/include/ATen/ops/view_as_complex_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2399795Z inflating: build/lib/torch/include/ATen/ops/view_as_complex_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2400146Z inflating: build/lib/torch/include/ATen/ops/view_as_complex_copy_native.h 2024-08-20T21:38:18.2400467Z inflating: build/lib/torch/include/ATen/ops/view_as_complex_copy_ops.h 2024-08-20T21:38:18.2400812Z inflating: build/lib/torch/include/ATen/ops/view_as_complex_cpu_dispatch.h 2024-08-20T21:38:18.2401230Z inflating: build/lib/torch/include/ATen/ops/view_as_complex_cuda_dispatch.h 2024-08-20T21:38:18.2401581Z inflating: build/lib/torch/include/ATen/ops/view_as_complex_meta_dispatch.h 2024-08-20T21:38:18.2401886Z inflating: build/lib/torch/include/ATen/ops/view_as_complex_native.h 2024-08-20T21:38:18.2402179Z inflating: build/lib/torch/include/ATen/ops/view_as_complex_ops.h 2024-08-20T21:38:18.2402629Z inflating: build/lib/torch/include/ATen/ops/view_as_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2402984Z inflating: build/lib/torch/include/ATen/ops/view_as_native.h 2024-08-20T21:38:18.2403220Z inflating: build/lib/torch/include/ATen/ops/view_as_ops.h 2024-08-20T21:38:18.2403460Z inflating: build/lib/torch/include/ATen/ops/view_as_real.h 2024-08-20T21:38:18.2403746Z inflating: build/lib/torch/include/ATen/ops/view_as_real_copy.h 2024-08-20T21:38:18.2404252Z inflating: build/lib/torch/include/ATen/ops/view_as_real_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2404858Z inflating: build/lib/torch/include/ATen/ops/view_as_real_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2405196Z inflating: build/lib/torch/include/ATen/ops/view_as_real_copy_native.h 2024-08-20T21:38:18.2405495Z inflating: build/lib/torch/include/ATen/ops/view_as_real_copy_ops.h 2024-08-20T21:38:18.2405835Z inflating: build/lib/torch/include/ATen/ops/view_as_real_cpu_dispatch.h 2024-08-20T21:38:18.2406166Z inflating: build/lib/torch/include/ATen/ops/view_as_real_cuda_dispatch.h 2024-08-20T21:38:18.2406494Z inflating: build/lib/torch/include/ATen/ops/view_as_real_meta_dispatch.h 2024-08-20T21:38:18.2406789Z inflating: build/lib/torch/include/ATen/ops/view_as_real_native.h 2024-08-20T21:38:18.2407055Z inflating: build/lib/torch/include/ATen/ops/view_as_real_ops.h 2024-08-20T21:38:18.2407489Z inflating: build/lib/torch/include/ATen/ops/view_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2407729Z inflating: build/lib/torch/include/ATen/ops/view_copy.h 2024-08-20T21:38:18.2408194Z inflating: build/lib/torch/include/ATen/ops/view_copy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2408752Z inflating: build/lib/torch/include/ATen/ops/view_copy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2409032Z inflating: build/lib/torch/include/ATen/ops/view_copy_native.h 2024-08-20T21:38:18.2409282Z inflating: build/lib/torch/include/ATen/ops/view_copy_ops.h 2024-08-20T21:38:18.2409567Z inflating: build/lib/torch/include/ATen/ops/view_cpu_dispatch.h 2024-08-20T21:38:18.2409847Z inflating: build/lib/torch/include/ATen/ops/view_cuda_dispatch.h 2024-08-20T21:38:18.2410125Z inflating: build/lib/torch/include/ATen/ops/view_meta_dispatch.h 2024-08-20T21:38:18.2410368Z inflating: build/lib/torch/include/ATen/ops/view_native.h 2024-08-20T21:38:18.2410584Z inflating: build/lib/torch/include/ATen/ops/view_ops.h 2024-08-20T21:38:18.2410795Z inflating: build/lib/torch/include/ATen/ops/vsplit.h 2024-08-20T21:38:18.2411315Z inflating: build/lib/torch/include/ATen/ops/vsplit_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2411566Z inflating: build/lib/torch/include/ATen/ops/vsplit_native.h 2024-08-20T21:38:18.2411791Z inflating: build/lib/torch/include/ATen/ops/vsplit_ops.h 2024-08-20T21:38:18.2412012Z inflating: build/lib/torch/include/ATen/ops/vstack.h 2024-08-20T21:38:18.2412451Z inflating: build/lib/torch/include/ATen/ops/vstack_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2412718Z inflating: build/lib/torch/include/ATen/ops/vstack_native.h 2024-08-20T21:38:18.2412940Z inflating: build/lib/torch/include/ATen/ops/vstack_ops.h 2024-08-20T21:38:18.2413140Z inflating: build/lib/torch/include/ATen/ops/where.h 2024-08-20T21:38:18.2413588Z inflating: build/lib/torch/include/ATen/ops/where_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2413871Z inflating: build/lib/torch/include/ATen/ops/where_cpu_dispatch.h 2024-08-20T21:38:18.2414207Z inflating: build/lib/torch/include/ATen/ops/where_cuda_dispatch.h 2024-08-20T21:38:18.2414462Z inflating: build/lib/torch/include/ATen/ops/where_native.h 2024-08-20T21:38:18.2414683Z inflating: build/lib/torch/include/ATen/ops/where_ops.h 2024-08-20T21:38:18.2414884Z inflating: build/lib/torch/include/ATen/ops/xlogy.h 2024-08-20T21:38:18.2415331Z inflating: build/lib/torch/include/ATen/ops/xlogy_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2415867Z inflating: build/lib/torch/include/ATen/ops/xlogy_compositeexplicitautogradnonfunctional_dispatch.h 2024-08-20T21:38:18.2416160Z inflating: build/lib/torch/include/ATen/ops/xlogy_cpu_dispatch.h 2024-08-20T21:38:18.2416447Z inflating: build/lib/torch/include/ATen/ops/xlogy_cuda_dispatch.h 2024-08-20T21:38:18.2416673Z inflating: build/lib/torch/include/ATen/ops/xlogy_meta.h 2024-08-20T21:38:18.2416971Z inflating: build/lib/torch/include/ATen/ops/xlogy_meta_dispatch.h 2024-08-20T21:38:18.2417216Z inflating: build/lib/torch/include/ATen/ops/xlogy_native.h 2024-08-20T21:38:18.2417439Z inflating: build/lib/torch/include/ATen/ops/xlogy_ops.h 2024-08-20T21:38:18.2417642Z inflating: build/lib/torch/include/ATen/ops/xor.h 2024-08-20T21:38:18.2418060Z inflating: build/lib/torch/include/ATen/ops/xor_compositeimplicitautograd_dispatch.h 2024-08-20T21:38:18.2418297Z inflating: build/lib/torch/include/ATen/ops/xor_native.h 2024-08-20T21:38:18.2418508Z inflating: build/lib/torch/include/ATen/ops/xor_ops.h 2024-08-20T21:38:18.2418699Z inflating: build/lib/torch/include/ATen/ops/zero.h 2024-08-20T21:38:18.2419138Z inflating: build/lib/torch/include/ATen/ops/zero_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2419413Z inflating: build/lib/torch/include/ATen/ops/zero_cpu_dispatch.h 2024-08-20T21:38:18.2419691Z inflating: build/lib/torch/include/ATen/ops/zero_cuda_dispatch.h 2024-08-20T21:38:18.2420062Z inflating: build/lib/torch/include/ATen/ops/zero_meta_dispatch.h 2024-08-20T21:38:18.2420318Z inflating: build/lib/torch/include/ATen/ops/zero_native.h 2024-08-20T21:38:18.2420690Z inflating: build/lib/torch/include/ATen/ops/zero_ops.h 2024-08-20T21:38:18.2421081Z inflating: build/lib/torch/include/ATen/ops/zeros.h 2024-08-20T21:38:18.2421915Z inflating: build/lib/torch/include/ATen/ops/zeros_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2422348Z inflating: build/lib/torch/include/ATen/ops/zeros_like.h 2024-08-20T21:38:18.2423245Z inflating: build/lib/torch/include/ATen/ops/zeros_like_compositeexplicitautograd_dispatch.h 2024-08-20T21:38:18.2424311Z inflating: build/lib/torch/include/ATen/ops/zeros_like_compositeimplicitautogradnestedtensor_dispatch.h 2024-08-20T21:38:18.2424850Z inflating: build/lib/torch/include/ATen/ops/zeros_like_native.h 2024-08-20T21:38:18.2425331Z inflating: build/lib/torch/include/ATen/ops/zeros_like_ops.h 2024-08-20T21:38:18.2425917Z inflating: build/lib/torch/include/ATen/ops/zeros_native.h 2024-08-20T21:38:18.2426350Z inflating: build/lib/torch/include/ATen/ops/zeros_ops.h 2024-08-20T21:38:18.2426800Z creating: build/lib/torch/include/ATen/hip/ 2024-08-20T21:38:18.2427118Z creating: build/lib/torch/include/ATen/hip/impl/ 2024-08-20T21:38:18.2427963Z inflating: build/lib/torch/include/ATen/hip/impl/HIPAllocatorMasqueradingAsCUDA.h 2024-08-20T21:38:18.2428913Z inflating: build/lib/torch/include/ATen/hip/impl/HIPCachingAllocatorMasqueradingAsCUDA.h 2024-08-20T21:38:18.2429749Z inflating: build/lib/torch/include/ATen/hip/impl/HIPGuardImplMasqueradingAsCUDA.h 2024-08-20T21:38:18.2430527Z inflating: build/lib/torch/include/ATen/hip/impl/HIPStreamMasqueradingAsCUDA.h 2024-08-20T21:38:18.2430816Z creating: build/lib/torch/include/ATen/mps/ 2024-08-20T21:38:18.2431274Z inflating: build/lib/torch/include/ATen/mps/EmptyTensor.h 2024-08-20T21:38:18.2431729Z inflating: build/lib/torch/include/ATen/mps/IndexKernels.h 2024-08-20T21:38:18.2432290Z inflating: build/lib/torch/include/ATen/mps/MPSAllocator.h 2024-08-20T21:38:18.2432919Z inflating: build/lib/torch/include/ATen/mps/MPSAllocatorInterface.h 2024-08-20T21:38:18.2433346Z inflating: build/lib/torch/include/ATen/mps/MPSDevice.h 2024-08-20T21:38:18.2433751Z inflating: build/lib/torch/include/ATen/mps/MPSEvent.h 2024-08-20T21:38:18.2434292Z inflating: build/lib/torch/include/ATen/mps/MPSGeneratorImpl.h 2024-08-20T21:38:18.2434751Z inflating: build/lib/torch/include/ATen/mps/MPSGuardImpl.h 2024-08-20T21:38:18.2435175Z inflating: build/lib/torch/include/ATen/mps/MPSHooks.h 2024-08-20T21:38:18.2435611Z inflating: build/lib/torch/include/ATen/mps/MPSProfiler.h 2024-08-20T21:38:18.2436028Z inflating: build/lib/torch/include/ATen/mps/MPSStream.h 2024-08-20T21:38:18.2436354Z creating: build/lib/torch/include/ATen/miopen/ 2024-08-20T21:38:18.2436850Z inflating: build/lib/torch/include/ATen/miopen/Descriptors.h 2024-08-20T21:38:18.2437339Z inflating: build/lib/torch/include/ATen/miopen/Exceptions.h 2024-08-20T21:38:18.2437748Z inflating: build/lib/torch/include/ATen/miopen/Handle.h 2024-08-20T21:38:18.2438000Z inflating: build/lib/torch/include/ATen/miopen/Types.h 2024-08-20T21:38:18.2438213Z inflating: build/lib/torch/include/ATen/miopen/Utils.h 2024-08-20T21:38:18.2438750Z inflating: build/lib/torch/include/ATen/miopen/miopen-wrapper.h 2024-08-20T21:38:18.2438920Z creating: build/lib/torch/include/ATen/detail/ 2024-08-20T21:38:18.2439311Z inflating: build/lib/torch/include/ATen/detail/AcceleratorHooksInterface.h 2024-08-20T21:38:18.2439624Z inflating: build/lib/torch/include/ATen/detail/CUDAHooksInterface.h 2024-08-20T21:38:18.2439906Z inflating: build/lib/torch/include/ATen/detail/FunctionTraits.h 2024-08-20T21:38:18.2440222Z inflating: build/lib/torch/include/ATen/detail/HIPHooksInterface.h 2024-08-20T21:38:18.2440525Z inflating: build/lib/torch/include/ATen/detail/IPUHooksInterface.h 2024-08-20T21:38:18.2440841Z inflating: build/lib/torch/include/ATen/detail/MAIAHooksInterface.h 2024-08-20T21:38:18.2441158Z inflating: build/lib/torch/include/ATen/detail/MPSHooksInterface.h 2024-08-20T21:38:18.2441470Z inflating: build/lib/torch/include/ATen/detail/MTIAHooksInterface.h 2024-08-20T21:38:18.2441843Z inflating: build/lib/torch/include/ATen/detail/PrivateUse1HooksInterface.h 2024-08-20T21:38:18.2442156Z inflating: build/lib/torch/include/ATen/detail/XPUHooksInterface.h 2024-08-20T21:38:18.2442325Z creating: build/lib/torch/include/ATen/native/ 2024-08-20T21:38:18.2442592Z inflating: build/lib/torch/include/ATen/native/Activation.h 2024-08-20T21:38:18.2442884Z inflating: build/lib/torch/include/ATen/native/AdaptivePooling.h 2024-08-20T21:38:18.2443137Z inflating: build/lib/torch/include/ATen/native/AmpKernels.h 2024-08-20T21:38:18.2443457Z inflating: build/lib/torch/include/ATen/native/BatchLinearAlgebra.h 2024-08-20T21:38:18.2443699Z inflating: build/lib/torch/include/ATen/native/BinaryOps.h 2024-08-20T21:38:18.2444010Z inflating: build/lib/torch/include/ATen/native/BucketizationUtils.h 2024-08-20T21:38:18.2444327Z inflating: build/lib/torch/include/ATen/native/CPUBlas.h 2024-08-20T21:38:18.2444590Z inflating: build/lib/torch/include/ATen/native/CPUFallback.h 2024-08-20T21:38:18.2444921Z inflating: build/lib/torch/include/ATen/native/CanUse32BitIndexMath.h 2024-08-20T21:38:18.2445208Z inflating: build/lib/torch/include/ATen/native/ComplexHelper.h 2024-08-20T21:38:18.2445563Z inflating: build/lib/torch/include/ATen/native/CompositeRandomAccessor.h 2024-08-20T21:38:18.2445983Z inflating: build/lib/torch/include/ATen/native/CompositeRandomAccessorCommon.h 2024-08-20T21:38:18.2446224Z inflating: build/lib/torch/include/ATen/native/ConvUtils.h 2024-08-20T21:38:18.2446512Z inflating: build/lib/torch/include/ATen/native/ConvolutionMM3d.h 2024-08-20T21:38:18.2446737Z inflating: build/lib/torch/include/ATen/native/Copy.h 2024-08-20T21:38:18.2447012Z inflating: build/lib/torch/include/ATen/native/Cross.h 2024-08-20T21:38:18.2447372Z inflating: build/lib/torch/include/ATen/native/DilatedConvolutionUtils.h 2024-08-20T21:38:18.2447653Z inflating: build/lib/torch/include/ATen/native/DispatchStub.h 2024-08-20T21:38:18.2447884Z inflating: build/lib/torch/include/ATen/native/Distance.h 2024-08-20T21:38:18.2448239Z inflating: build/lib/torch/include/ATen/native/DistributionTemplates.h 2024-08-20T21:38:18.2448510Z inflating: build/lib/torch/include/ATen/native/Distributions.h 2024-08-20T21:38:18.2448772Z inflating: build/lib/torch/include/ATen/native/EmbeddingBag.h 2024-08-20T21:38:18.2448993Z inflating: build/lib/torch/include/ATen/native/Fill.h 2024-08-20T21:38:18.2449254Z inflating: build/lib/torch/include/ATen/native/ForeachUtils.h 2024-08-20T21:38:18.2449585Z inflating: build/lib/torch/include/ATen/native/FractionalMaxPooling.h 2024-08-20T21:38:18.2449944Z inflating: build/lib/torch/include/ATen/native/FunctionOfAMatrixUtils.h 2024-08-20T21:38:18.2450212Z inflating: build/lib/torch/include/ATen/native/FusedAdagrad.h 2024-08-20T21:38:18.2450454Z inflating: build/lib/torch/include/ATen/native/FusedAdam.h 2024-08-20T21:38:18.2450696Z inflating: build/lib/torch/include/ATen/native/FusedSGD.h 2024-08-20T21:38:18.2450955Z inflating: build/lib/torch/include/ATen/native/GridSampler.h 2024-08-20T21:38:18.2451259Z inflating: build/lib/torch/include/ATen/native/GridSamplerUtils.h 2024-08-20T21:38:18.2451499Z inflating: build/lib/torch/include/ATen/native/Histogram.h 2024-08-20T21:38:18.2451756Z inflating: build/lib/torch/include/ATen/native/IndexKernel.h 2024-08-20T21:38:18.2452040Z inflating: build/lib/torch/include/ATen/native/IndexingUtils.h 2024-08-20T21:38:18.2452250Z inflating: build/lib/torch/include/ATen/native/Lerp.h 2024-08-20T21:38:18.2452518Z inflating: build/lib/torch/include/ATen/native/LinearAlgebra.h 2024-08-20T21:38:18.2452841Z inflating: build/lib/torch/include/ATen/native/LinearAlgebraUtils.h 2024-08-20T21:38:18.2453083Z inflating: build/lib/torch/include/ATen/native/LossMulti.h 2024-08-20T21:38:18.2453296Z inflating: build/lib/torch/include/ATen/native/Math.h 2024-08-20T21:38:18.2453666Z inflating: build/lib/torch/include/ATen/native/MathBitFallThroughLists.h 2024-08-20T21:38:18.2453959Z inflating: build/lib/torch/include/ATen/native/MathBitsFallback.h 2024-08-20T21:38:18.2454224Z inflating: build/lib/torch/include/ATen/native/MaxPooling.h 2024-08-20T21:38:18.2454495Z inflating: build/lib/torch/include/ATen/native/NonEmptyUtils.h 2024-08-20T21:38:18.2454766Z inflating: build/lib/torch/include/ATen/native/NonSymbolicBC.h 2024-08-20T21:38:18.2455051Z inflating: build/lib/torch/include/ATen/native/Normalization.h 2024-08-20T21:38:18.2455278Z inflating: build/lib/torch/include/ATen/native/Padding.h 2024-08-20T21:38:18.2455545Z inflating: build/lib/torch/include/ATen/native/PixelShuffle.h 2024-08-20T21:38:18.2455826Z inflating: build/lib/torch/include/ATen/native/PointwiseOps.h 2024-08-20T21:38:18.2456035Z inflating: build/lib/torch/include/ATen/native/Pool.h 2024-08-20T21:38:18.2456297Z inflating: build/lib/torch/include/ATen/native/Pow.h 2024-08-20T21:38:18.2456517Z inflating: build/lib/torch/include/ATen/native/RNN.h 2024-08-20T21:38:18.2456800Z inflating: build/lib/torch/include/ATen/native/RangeFactories.h 2024-08-20T21:38:18.2457077Z inflating: build/lib/torch/include/ATen/native/ReduceAllOps.h 2024-08-20T21:38:18.2457318Z inflating: build/lib/torch/include/ATen/native/ReduceOps.h 2024-08-20T21:38:18.2457598Z inflating: build/lib/torch/include/ATen/native/ReduceOpsUtils.h 2024-08-20T21:38:18.2457881Z inflating: build/lib/torch/include/ATen/native/ReductionType.h 2024-08-20T21:38:18.2458102Z inflating: build/lib/torch/include/ATen/native/Repeat.h 2024-08-20T21:38:18.2458324Z inflating: build/lib/torch/include/ATen/native/Resize.h 2024-08-20T21:38:18.2458601Z inflating: build/lib/torch/include/ATen/native/ResizeCommon.h 2024-08-20T21:38:18.2458973Z inflating: build/lib/torch/include/ATen/native/ScatterGatherChecks.h 2024-08-20T21:38:18.2459250Z inflating: build/lib/torch/include/ATen/native/SegmentReduce.h 2024-08-20T21:38:18.2459547Z inflating: build/lib/torch/include/ATen/native/SharedReduceOps.h 2024-08-20T21:38:18.2459959Z inflating: build/lib/torch/include/ATen/native/SobolEngineOpsUtils.h 2024-08-20T21:38:18.2460200Z inflating: build/lib/torch/include/ATen/native/Sorting.h 2024-08-20T21:38:18.2460464Z inflating: build/lib/torch/include/ATen/native/SortingUtils.h 2024-08-20T21:38:18.2460769Z inflating: build/lib/torch/include/ATen/native/SparseTensorUtils.h 2024-08-20T21:38:18.2461079Z inflating: build/lib/torch/include/ATen/native/SpectralOpsUtils.h 2024-08-20T21:38:18.2461420Z inflating: build/lib/torch/include/ATen/native/StridedRandomAccessor.h 2024-08-20T21:38:18.2461767Z inflating: build/lib/torch/include/ATen/native/TensorAdvancedIndexing.h 2024-08-20T21:38:18.2462171Z inflating: build/lib/torch/include/ATen/native/TensorAdvancedIndexingUtils.h 2024-08-20T21:38:18.2462449Z inflating: build/lib/torch/include/ATen/native/TensorCompare.h 2024-08-20T21:38:18.2462751Z inflating: build/lib/torch/include/ATen/native/TensorConversions.h 2024-08-20T21:38:18.2463046Z inflating: build/lib/torch/include/ATen/native/TensorDimApply.h 2024-08-20T21:38:18.2463331Z inflating: build/lib/torch/include/ATen/native/TensorFactories.h 2024-08-20T21:38:18.2463631Z extracting: build/lib/torch/include/ATen/native/TensorIterator.h 2024-08-20T21:38:18.2464032Z inflating: build/lib/torch/include/ATen/native/TensorIteratorDynamicCasting.h 2024-08-20T21:38:18.2464326Z inflating: build/lib/torch/include/ATen/native/TensorProperties.h 2024-08-20T21:38:18.2464596Z inflating: build/lib/torch/include/ATen/native/TensorShape.h 2024-08-20T21:38:18.2464935Z inflating: build/lib/torch/include/ATen/native/TensorTransformations.h 2024-08-20T21:38:18.2465171Z inflating: build/lib/torch/include/ATen/native/TopKImpl.h 2024-08-20T21:38:18.2465452Z inflating: build/lib/torch/include/ATen/native/TransposeType.h 2024-08-20T21:38:18.2465782Z inflating: build/lib/torch/include/ATen/native/TriangularOpsUtils.h 2024-08-20T21:38:18.2466064Z inflating: build/lib/torch/include/ATen/native/TypeProperties.h 2024-08-20T21:38:18.2466307Z inflating: build/lib/torch/include/ATen/native/UnaryOps.h 2024-08-20T21:38:18.2466536Z inflating: build/lib/torch/include/ATen/native/Unfold2d.h 2024-08-20T21:38:18.2466760Z inflating: build/lib/torch/include/ATen/native/Unfold3d.h 2024-08-20T21:38:18.2467052Z inflating: build/lib/torch/include/ATen/native/UnfoldBackward.h 2024-08-20T21:38:18.2467284Z inflating: build/lib/torch/include/ATen/native/UpSample.h 2024-08-20T21:38:18.2467535Z inflating: build/lib/torch/include/ATen/native/batch_norm.h 2024-08-20T21:38:18.2467796Z inflating: build/lib/torch/include/ATen/native/group_norm.h 2024-08-20T21:38:18.2468018Z inflating: build/lib/torch/include/ATen/native/im2col.h 2024-08-20T21:38:18.2468401Z inflating: build/lib/torch/include/ATen/native/im2col_shape_check.h 2024-08-20T21:38:18.2468663Z inflating: build/lib/torch/include/ATen/native/layer_norm.h 2024-08-20T21:38:18.2468947Z inflating: build/lib/torch/include/ATen/native/verbose_wrapper.h 2024-08-20T21:38:18.2469172Z inflating: build/lib/torch/include/ATen/native/vol2col.h 2024-08-20T21:38:18.2469377Z creating: build/lib/torch/include/ATen/native/cpu/ 2024-08-20T21:38:18.2469685Z inflating: build/lib/torch/include/ATen/native/cpu/AtomicAddFloat.h 2024-08-20T21:38:18.2469969Z inflating: build/lib/torch/include/ATen/native/cpu/CatKernel.h 2024-08-20T21:38:18.2470329Z inflating: build/lib/torch/include/ATen/native/cpu/ChannelShuffleKernel.h 2024-08-20T21:38:18.2470608Z inflating: build/lib/torch/include/ATen/native/cpu/CopyKernel.h 2024-08-20T21:38:18.2470972Z inflating: build/lib/torch/include/ATen/native/cpu/DepthwiseConvKernel.h 2024-08-20T21:38:18.2471389Z inflating: build/lib/torch/include/ATen/native/cpu/DistributionTemplates.h 2024-08-20T21:38:18.2471729Z inflating: build/lib/torch/include/ATen/native/cpu/GridSamplerKernel.h 2024-08-20T21:38:18.2472069Z inflating: build/lib/torch/include/ATen/native/cpu/IndexKernelUtils.h 2024-08-20T21:38:18.2472348Z inflating: build/lib/torch/include/ATen/native/cpu/Intrinsics.h 2024-08-20T21:38:18.2472648Z inflating: build/lib/torch/include/ATen/native/cpu/IsContiguous.h 2024-08-20T21:38:18.2472917Z inflating: build/lib/torch/include/ATen/native/cpu/LogAddExp.h 2024-08-20T21:38:18.2473156Z inflating: build/lib/torch/include/ATen/native/cpu/Loops.h 2024-08-20T21:38:18.2473486Z inflating: build/lib/torch/include/ATen/native/cpu/MaxUnpoolKernel.h 2024-08-20T21:38:18.2473832Z inflating: build/lib/torch/include/ATen/native/cpu/PixelShuffleKernel.h 2024-08-20T21:38:18.2474082Z inflating: build/lib/torch/include/ATen/native/cpu/Reduce.h 2024-08-20T21:38:18.2474385Z inflating: build/lib/torch/include/ATen/native/cpu/ReduceUtils.h 2024-08-20T21:38:18.2474732Z inflating: build/lib/torch/include/ATen/native/cpu/SampledAddmmKernel.h 2024-08-20T21:38:18.2475052Z inflating: build/lib/torch/include/ATen/native/cpu/SerialStackImpl.h 2024-08-20T21:38:18.2475364Z inflating: build/lib/torch/include/ATen/native/cpu/SoftmaxKernel.h 2024-08-20T21:38:18.2475687Z inflating: build/lib/torch/include/ATen/native/cpu/SpmmReduceKernel.h 2024-08-20T21:38:18.2475981Z inflating: build/lib/torch/include/ATen/native/cpu/StackKernel.h 2024-08-20T21:38:18.2476389Z inflating: build/lib/torch/include/ATen/native/cpu/UpSampleKernelAVXAntialias.h 2024-08-20T21:38:18.2476716Z inflating: build/lib/torch/include/ATen/native/cpu/WeightNormKernel.h 2024-08-20T21:38:18.2477008Z inflating: build/lib/torch/include/ATen/native/cpu/avx_mathfun.h 2024-08-20T21:38:18.2477302Z inflating: build/lib/torch/include/ATen/native/cpu/int_mm_kernel.h 2024-08-20T21:38:18.2477614Z inflating: build/lib/torch/include/ATen/native/cpu/mixed_data_type.h 2024-08-20T21:38:18.2477923Z inflating: build/lib/torch/include/ATen/native/cpu/moments_utils.h 2024-08-20T21:38:18.2478163Z inflating: build/lib/torch/include/ATen/native/cpu/utils.h 2024-08-20T21:38:18.2478403Z inflating: build/lib/torch/include/ATen/native/cpu/zmath.h 2024-08-20T21:38:18.2478605Z creating: build/lib/torch/include/ATen/native/cuda/ 2024-08-20T21:38:18.2478888Z inflating: build/lib/torch/include/ATen/native/cuda/Activation.h 2024-08-20T21:38:18.2479219Z inflating: build/lib/torch/include/ATen/native/cuda/BinaryInternal.h 2024-08-20T21:38:18.2479611Z inflating: build/lib/torch/include/ATen/native/cuda/CompositeRandomAccessor.h 2024-08-20T21:38:18.2479847Z inflating: build/lib/torch/include/ATen/native/cuda/Copy.h 2024-08-20T21:38:18.2480176Z inflating: build/lib/torch/include/ATen/native/cuda/CuFFTPlanCache.h 2024-08-20T21:38:18.2480463Z inflating: build/lib/torch/include/ATen/native/cuda/CuFFTUtils.h 2024-08-20T21:38:18.2480902Z inflating: build/lib/torch/include/ATen/native/cuda/DistributionTemplates.h 2024-08-20T21:38:18.2481315Z inflating: build/lib/torch/include/ATen/native/cuda/Distributions.h 2024-08-20T21:38:18.2481611Z inflating: build/lib/torch/include/ATen/native/cuda/GridSampler.h 2024-08-20T21:38:18.2481896Z inflating: build/lib/torch/include/ATen/native/cuda/IndexKernel.h 2024-08-20T21:38:18.2482189Z inflating: build/lib/torch/include/ATen/native/cuda/LaunchUtils.h 2024-08-20T21:38:18.2482467Z inflating: build/lib/torch/include/ATen/native/cuda/MiscUtils.h 2024-08-20T21:38:18.2482758Z inflating: build/lib/torch/include/ATen/native/cuda/ReduceOps.h 2024-08-20T21:38:18.2483012Z inflating: build/lib/torch/include/ATen/native/cuda/Resize.h 2024-08-20T21:38:18.2483335Z inflating: build/lib/torch/include/ATen/native/cuda/RowwiseScaledMM.h 2024-08-20T21:38:18.2483631Z inflating: build/lib/torch/include/ATen/native/cuda/ScanKernels.h 2024-08-20T21:38:18.2483928Z inflating: build/lib/torch/include/ATen/native/cuda/Sort.h 2024-08-20T21:38:18.2484219Z inflating: build/lib/torch/include/ATen/native/cuda/SortStable.h 2024-08-20T21:38:18.2484489Z inflating: build/lib/torch/include/ATen/native/cuda/Sorting.h 2024-08-20T21:38:18.2484826Z inflating: build/lib/torch/include/ATen/native/cuda/TensorModeKernel.h 2024-08-20T21:38:18.2485118Z inflating: build/lib/torch/include/ATen/native/cuda/TensorTopK.h 2024-08-20T21:38:18.2485393Z inflating: build/lib/torch/include/ATen/native/cuda/jit_utils.h 2024-08-20T21:38:18.2485720Z inflating: build/lib/torch/include/ATen/native/cuda/thread_constants.h 2024-08-20T21:38:18.2486046Z inflating: build/lib/torch/include/ATen/native/cuda/CUDAJitLoops.cuh 2024-08-20T21:38:18.2486333Z inflating: build/lib/torch/include/ATen/native/cuda/CUDALoops.cuh 2024-08-20T21:38:18.2486630Z inflating: build/lib/torch/include/ATen/native/cuda/DeviceSqrt.cuh 2024-08-20T21:38:18.2487052Z inflating: build/lib/torch/include/ATen/native/cuda/EmbeddingBackwardKernel.cuh 2024-08-20T21:38:18.2487401Z inflating: build/lib/torch/include/ATen/native/cuda/ForeachFunctors.cuh 2024-08-20T21:38:18.2487794Z inflating: build/lib/torch/include/ATen/native/cuda/ForeachMinMaxFunctors.cuh 2024-08-20T21:38:18.2488114Z inflating: build/lib/torch/include/ATen/native/cuda/GridSampler.cuh 2024-08-20T21:38:18.2488397Z inflating: build/lib/torch/include/ATen/native/cuda/JitLoops.cuh 2024-08-20T21:38:18.2488712Z inflating: build/lib/torch/include/ATen/native/cuda/KernelUtils.cuh 2024-08-20T21:38:18.2488971Z inflating: build/lib/torch/include/ATen/native/cuda/Loops.cuh 2024-08-20T21:38:18.2489223Z inflating: build/lib/torch/include/ATen/native/cuda/Math.cuh 2024-08-20T21:38:18.2489548Z inflating: build/lib/torch/include/ATen/native/cuda/MemoryAccess.cuh 2024-08-20T21:38:18.2489895Z inflating: build/lib/torch/include/ATen/native/cuda/MultiTensorApply.cuh 2024-08-20T21:38:18.2490219Z inflating: build/lib/torch/include/ATen/native/cuda/Normalization.cuh 2024-08-20T21:38:18.2490586Z inflating: build/lib/torch/include/ATen/native/cuda/PersistentSoftmax.cuh 2024-08-20T21:38:18.2490837Z inflating: build/lib/torch/include/ATen/native/cuda/Pow.cuh 2024-08-20T21:38:18.2491119Z inflating: build/lib/torch/include/ATen/native/cuda/Randperm.cuh 2024-08-20T21:38:18.2491400Z inflating: build/lib/torch/include/ATen/native/cuda/Reduce.cuh 2024-08-20T21:38:18.2491807Z inflating: build/lib/torch/include/ATen/native/cuda/ScanUtils.cuh 2024-08-20T21:38:18.2492089Z inflating: build/lib/torch/include/ATen/native/cuda/SortUtils.cuh 2024-08-20T21:38:18.2492414Z inflating: build/lib/torch/include/ATen/native/cuda/SortingCommon.cuh 2024-08-20T21:38:18.2492790Z inflating: build/lib/torch/include/ATen/native/cuda/SortingRadixSelect.cuh 2024-08-20T21:38:18.2493137Z inflating: build/lib/torch/include/ATen/native/cuda/TensorModeKernel.cuh 2024-08-20T21:38:18.2493439Z inflating: build/lib/torch/include/ATen/native/cuda/UniqueCub.cuh 2024-08-20T21:38:18.2493774Z inflating: build/lib/torch/include/ATen/native/cuda/UpSample.cuh 2024-08-20T21:38:18.2494088Z inflating: build/lib/torch/include/ATen/native/cuda/block_reduce.cuh 2024-08-20T21:38:18.2494482Z inflating: build/lib/torch/include/ATen/native/cuda/fused_adam_amsgrad_impl.cuh 2024-08-20T21:38:18.2494816Z inflating: build/lib/torch/include/ATen/native/cuda/fused_adam_impl.cuh 2024-08-20T21:38:18.2495152Z inflating: build/lib/torch/include/ATen/native/cuda/fused_adam_utils.cuh 2024-08-20T21:38:18.2495553Z inflating: build/lib/torch/include/ATen/native/cuda/fused_adamw_amsgrad_impl.cuh 2024-08-20T21:38:18.2495888Z inflating: build/lib/torch/include/ATen/native/cuda/fused_adamw_impl.cuh 2024-08-20T21:38:18.2496171Z inflating: build/lib/torch/include/ATen/native/cuda/im2col.cuh 2024-08-20T21:38:18.2496528Z inflating: build/lib/torch/include/ATen/native/cuda/reduction_template.cuh 2024-08-20T21:38:18.2496860Z inflating: build/lib/torch/include/ATen/native/cuda/vol2col.cuh 2024-08-20T21:38:18.2497066Z creating: build/lib/torch/include/ATen/native/mps/ 2024-08-20T21:38:18.2497296Z inflating: build/lib/torch/include/ATen/native/mps/Copy.h 2024-08-20T21:38:18.2497645Z inflating: build/lib/torch/include/ATen/native/mps/MPSGraphSequoiaOps.h 2024-08-20T21:38:18.2497997Z inflating: build/lib/torch/include/ATen/native/mps/MPSGraphSonomaOps.h 2024-08-20T21:38:18.2498423Z inflating: build/lib/torch/include/ATen/native/mps/MPSGraphVenturaOps.h 2024-08-20T21:38:18.2498732Z inflating: build/lib/torch/include/ATen/native/mps/OperationUtils.h 2024-08-20T21:38:18.2499040Z inflating: build/lib/torch/include/ATen/native/mps/TensorFactory.h 2024-08-20T21:38:18.2499347Z inflating: build/lib/torch/include/ATen/native/mps/UnaryConstants.h 2024-08-20T21:38:18.2499564Z creating: build/lib/torch/include/ATen/native/nested/ 2024-08-20T21:38:18.2500032Z inflating: build/lib/torch/include/ATen/native/nested/NestedTensorBinaryOps.h 2024-08-20T21:38:18.2500441Z extracting: build/lib/torch/include/ATen/native/nested/NestedTensorFactories.h 2024-08-20T21:38:18.2500802Z inflating: build/lib/torch/include/ATen/native/nested/NestedTensorMath.h 2024-08-20T21:38:18.2501287Z inflating: build/lib/torch/include/ATen/native/nested/NestedTensorTransformerFunctions.h 2024-08-20T21:38:18.2501729Z inflating: build/lib/torch/include/ATen/native/nested/NestedTensorTransformerUtils.h 2024-08-20T21:38:18.2502094Z inflating: build/lib/torch/include/ATen/native/nested/NestedTensorUtils.h 2024-08-20T21:38:18.2502314Z creating: build/lib/torch/include/ATen/native/quantized/ 2024-08-20T21:38:18.2502684Z inflating: build/lib/torch/include/ATen/native/quantized/AffineQuantizer.h 2024-08-20T21:38:18.2503079Z inflating: build/lib/torch/include/ATen/native/quantized/AffineQuantizerBase.h 2024-08-20T21:38:18.2503391Z inflating: build/lib/torch/include/ATen/native/quantized/ConvUtils.h 2024-08-20T21:38:18.2503685Z inflating: build/lib/torch/include/ATen/native/quantized/Copy.h 2024-08-20T21:38:18.2504113Z inflating: build/lib/torch/include/ATen/native/quantized/FakeQuantAffine.h 2024-08-20T21:38:18.2504447Z inflating: build/lib/torch/include/ATen/native/quantized/IndexKernel.h 2024-08-20T21:38:18.2504801Z inflating: build/lib/torch/include/ATen/native/quantized/PackedParams.h 2024-08-20T21:38:18.2505049Z creating: build/lib/torch/include/ATen/native/quantized/cpu/ 2024-08-20T21:38:18.2505389Z inflating: build/lib/torch/include/ATen/native/quantized/cpu/BinaryOps.h 2024-08-20T21:38:18.2505836Z inflating: build/lib/torch/include/ATen/native/quantized/cpu/EmbeddingPackedParams.h 2024-08-20T21:38:18.2506191Z inflating: build/lib/torch/include/ATen/native/quantized/cpu/OnednnUtils.h 2024-08-20T21:38:18.2506563Z inflating: build/lib/torch/include/ATen/native/quantized/cpu/QnnpackUtils.h 2024-08-20T21:38:18.2506910Z inflating: build/lib/torch/include/ATen/native/quantized/cpu/QuantUtils.h 2024-08-20T21:38:18.2507346Z inflating: build/lib/torch/include/ATen/native/quantized/cpu/QuantizedOps.h 2024-08-20T21:38:18.2507695Z inflating: build/lib/torch/include/ATen/native/quantized/cpu/RuyUtils.h 2024-08-20T21:38:18.2508049Z inflating: build/lib/torch/include/ATen/native/quantized/cpu/XnnpackUtils.h 2024-08-20T21:38:18.2508468Z inflating: build/lib/torch/include/ATen/native/quantized/cpu/conv_serialization.h 2024-08-20T21:38:18.2509090Z inflating: build/lib/torch/include/ATen/native/quantized/cpu/fbgemm_utils.h 2024-08-20T21:38:18.2509769Z inflating: build/lib/torch/include/ATen/native/quantized/cpu/init_qnnpack.h 2024-08-20T21:38:18.2510488Z inflating: build/lib/torch/include/ATen/native/quantized/cpu/qembeddingbag.h 2024-08-20T21:38:18.2511323Z inflating: build/lib/torch/include/ATen/native/quantized/cpu/qembeddingbag_prepack.h 2024-08-20T21:38:18.2511768Z creating: build/lib/torch/include/ATen/native/transformers/ 2024-08-20T21:38:18.2512517Z inflating: build/lib/torch/include/ATen/native/transformers/attention.h 2024-08-20T21:38:18.2513214Z inflating: build/lib/torch/include/ATen/native/transformers/sdp_utils_cpp.h 2024-08-20T21:38:18.2513588Z creating: build/lib/torch/include/ATen/native/utils/ 2024-08-20T21:38:18.2514124Z inflating: build/lib/torch/include/ATen/native/utils/Factory.h 2024-08-20T21:38:18.2514684Z inflating: build/lib/torch/include/ATen/native/utils/ParamUtils.h 2024-08-20T21:38:18.2515235Z inflating: build/lib/torch/include/ATen/native/utils/ParamsHash.h 2024-08-20T21:38:18.2515592Z creating: build/lib/torch/include/ATen/quantized/ 2024-08-20T21:38:18.2516131Z inflating: build/lib/torch/include/ATen/quantized/QTensorImpl.h 2024-08-20T21:38:18.2516642Z inflating: build/lib/torch/include/ATen/quantized/Quantizer.h 2024-08-20T21:38:18.2516941Z creating: build/lib/torch/include/ATen/xpu/ 2024-08-20T21:38:18.2517409Z inflating: build/lib/torch/include/ATen/xpu/CachingHostAllocator.h 2024-08-20T21:38:18.2517741Z inflating: build/lib/torch/include/ATen/xpu/PinnedMemoryAllocator.h 2024-08-20T21:38:18.2517972Z inflating: build/lib/torch/include/ATen/xpu/XPUContext.h 2024-08-20T21:38:18.2518195Z inflating: build/lib/torch/include/ATen/xpu/XPUDevice.h 2024-08-20T21:38:18.2518420Z inflating: build/lib/torch/include/ATen/xpu/XPUEvent.h 2024-08-20T21:38:18.2518697Z inflating: build/lib/torch/include/ATen/xpu/XPUGeneratorImpl.h 2024-08-20T21:38:18.2518883Z creating: build/lib/torch/include/ATen/xpu/detail/ 2024-08-20T21:38:18.2519159Z inflating: build/lib/torch/include/ATen/xpu/detail/XPUHooks.h 2024-08-20T21:38:18.2519310Z creating: build/lib/torch/include/caffe2/ 2024-08-20T21:38:18.2519512Z creating: build/lib/torch/include/caffe2/serialize/ 2024-08-20T21:38:18.2519771Z inflating: build/lib/torch/include/caffe2/serialize/crc_alt.h 2024-08-20T21:38:18.2520067Z inflating: build/lib/torch/include/caffe2/serialize/file_adapter.h 2024-08-20T21:38:18.2520415Z inflating: build/lib/torch/include/caffe2/serialize/in_memory_adapter.h 2024-08-20T21:38:18.2520748Z inflating: build/lib/torch/include/caffe2/serialize/inline_container.h 2024-08-20T21:38:18.2521069Z inflating: build/lib/torch/include/caffe2/serialize/istream_adapter.h 2024-08-20T21:38:18.2521446Z inflating: build/lib/torch/include/caffe2/serialize/read_adapter_interface.h 2024-08-20T21:38:18.2521716Z inflating: build/lib/torch/include/caffe2/serialize/versions.h 2024-08-20T21:38:18.2521857Z creating: build/lib/torch/include/c10/ 2024-08-20T21:38:18.2522033Z creating: build/lib/torch/include/c10/macros/ 2024-08-20T21:38:18.2522246Z inflating: build/lib/torch/include/c10/macros/Export.h 2024-08-20T21:38:18.2522468Z inflating: build/lib/torch/include/c10/macros/Macros.h 2024-08-20T21:38:18.2522722Z inflating: build/lib/torch/include/c10/macros/cmake_macros.h 2024-08-20T21:38:18.2522879Z creating: build/lib/torch/include/c10/core/ 2024-08-20T21:38:18.2523115Z inflating: build/lib/torch/include/c10/core/Allocator.h 2024-08-20T21:38:18.2523427Z inflating: build/lib/torch/include/c10/core/AutogradState.h 2024-08-20T21:38:18.2523636Z inflating: build/lib/torch/include/c10/core/Backend.h 2024-08-20T21:38:18.2523887Z inflating: build/lib/torch/include/c10/core/CPUAllocator.h 2024-08-20T21:38:18.2524245Z inflating: build/lib/torch/include/c10/core/CompileTimeFunctionPointer.h 2024-08-20T21:38:18.2524537Z inflating: build/lib/torch/include/c10/core/ConstantSymNodeImpl.h 2024-08-20T21:38:18.2524774Z inflating: build/lib/torch/include/c10/core/Contiguity.h 2024-08-20T21:38:18.2524993Z inflating: build/lib/torch/include/c10/core/CopyBytes.h 2024-08-20T21:38:18.2525246Z inflating: build/lib/torch/include/c10/core/DefaultDtype.h 2024-08-20T21:38:18.2525551Z inflating: build/lib/torch/include/c10/core/DefaultTensorOptions.h 2024-08-20T21:38:18.2525917Z inflating: build/lib/torch/include/c10/core/Device.h 2024-08-20T21:38:18.2526284Z inflating: build/lib/torch/include/c10/core/DeviceArray.h 2024-08-20T21:38:18.2526513Z inflating: build/lib/torch/include/c10/core/DeviceGuard.h 2024-08-20T21:38:18.2526741Z inflating: build/lib/torch/include/c10/core/DeviceType.h 2024-08-20T21:38:18.2526983Z inflating: build/lib/torch/include/c10/core/DispatchKey.h 2024-08-20T21:38:18.2527241Z inflating: build/lib/torch/include/c10/core/DispatchKeySet.h 2024-08-20T21:38:18.2527468Z inflating: build/lib/torch/include/c10/core/DynamicCast.h 2024-08-20T21:38:18.2527679Z inflating: build/lib/torch/include/c10/core/Event.h 2024-08-20T21:38:18.2527938Z inflating: build/lib/torch/include/c10/core/GeneratorImpl.h 2024-08-20T21:38:18.2528151Z inflating: build/lib/torch/include/c10/core/GradMode.h 2024-08-20T21:38:18.2528415Z inflating: build/lib/torch/include/c10/core/InferenceMode.h 2024-08-20T21:38:18.2528621Z inflating: build/lib/torch/include/c10/core/Layout.h 2024-08-20T21:38:18.2528872Z inflating: build/lib/torch/include/c10/core/MemoryFormat.h 2024-08-20T21:38:18.2529108Z inflating: build/lib/torch/include/c10/core/OptionalRef.h 2024-08-20T21:38:18.2529367Z inflating: build/lib/torch/include/c10/core/PyHandleCache.h 2024-08-20T21:38:18.2529587Z inflating: build/lib/torch/include/c10/core/QEngine.h 2024-08-20T21:38:18.2529793Z inflating: build/lib/torch/include/c10/core/QScheme.h 2024-08-20T21:38:18.2530076Z inflating: build/lib/torch/include/c10/core/RefcountedDeleter.h 2024-08-20T21:38:18.2530326Z inflating: build/lib/torch/include/c10/core/SafePyObject.h 2024-08-20T21:38:18.2530532Z inflating: build/lib/torch/include/c10/core/Scalar.h 2024-08-20T21:38:18.2530759Z inflating: build/lib/torch/include/c10/core/ScalarType.h 2024-08-20T21:38:18.2531079Z inflating: build/lib/torch/include/c10/core/ScalarTypeToTypeMeta.h 2024-08-20T21:38:18.2531285Z inflating: build/lib/torch/include/c10/core/Storage.h 2024-08-20T21:38:18.2531527Z inflating: build/lib/torch/include/c10/core/StorageImpl.h 2024-08-20T21:38:18.2531740Z inflating: build/lib/torch/include/c10/core/Stream.h 2024-08-20T21:38:18.2531972Z inflating: build/lib/torch/include/c10/core/StreamGuard.h 2024-08-20T21:38:18.2532192Z inflating: build/lib/torch/include/c10/core/SymBool.h 2024-08-20T21:38:18.2532404Z inflating: build/lib/torch/include/c10/core/SymFloat.h 2024-08-20T21:38:18.2532608Z inflating: build/lib/torch/include/c10/core/SymInt.h 2024-08-20T21:38:18.2532878Z inflating: build/lib/torch/include/c10/core/SymIntArrayRef.h 2024-08-20T21:38:18.2533110Z inflating: build/lib/torch/include/c10/core/SymNodeImpl.h 2024-08-20T21:38:18.2533396Z inflating: build/lib/torch/include/c10/core/SymbolicShapeMeta.h 2024-08-20T21:38:18.2533631Z inflating: build/lib/torch/include/c10/core/TensorImpl.h 2024-08-20T21:38:18.2533884Z inflating: build/lib/torch/include/c10/core/TensorOptions.h 2024-08-20T21:38:18.2534194Z inflating: build/lib/torch/include/c10/core/UndefinedTensorImpl.h 2024-08-20T21:38:18.2534507Z inflating: build/lib/torch/include/c10/core/WrapDimMinimal.h 2024-08-20T21:38:18.2534791Z inflating: build/lib/torch/include/c10/core/alignment.h 2024-08-20T21:38:18.2535031Z inflating: build/lib/torch/include/c10/core/thread_pool.h 2024-08-20T21:38:18.2535206Z creating: build/lib/torch/include/c10/core/impl/ 2024-08-20T21:38:18.2535418Z inflating: build/lib/torch/include/c10/core/impl/COW.h 2024-08-20T21:38:18.2535692Z inflating: build/lib/torch/include/c10/core/impl/COWDeleter.h 2024-08-20T21:38:18.2536069Z inflating: build/lib/torch/include/c10/core/impl/DeviceGuardImplInterface.h 2024-08-20T21:38:18.2536354Z inflating: build/lib/torch/include/c10/core/impl/FakeGuardImpl.h 2024-08-20T21:38:18.2536618Z inflating: build/lib/torch/include/c10/core/impl/GPUTrace.h 2024-08-20T21:38:18.2536958Z inflating: build/lib/torch/include/c10/core/impl/HermeticPyObjectTLS.h 2024-08-20T21:38:18.2537286Z inflating: build/lib/torch/include/c10/core/impl/InlineDeviceGuard.h 2024-08-20T21:38:18.2537608Z inflating: build/lib/torch/include/c10/core/impl/InlineEvent.h 2024-08-20T21:38:18.2537926Z inflating: build/lib/torch/include/c10/core/impl/InlineStreamGuard.h 2024-08-20T21:38:18.2538276Z inflating: build/lib/torch/include/c10/core/impl/LocalDispatchKeySet.h 2024-08-20T21:38:18.2538565Z inflating: build/lib/torch/include/c10/core/impl/PyInterpreter.h 2024-08-20T21:38:18.2538845Z inflating: build/lib/torch/include/c10/core/impl/PyObjectSlot.h 2024-08-20T21:38:18.2539194Z inflating: build/lib/torch/include/c10/core/impl/PythonDispatcherTLS.h 2024-08-20T21:38:18.2539499Z inflating: build/lib/torch/include/c10/core/impl/SizesAndStrides.h 2024-08-20T21:38:18.2539914Z inflating: build/lib/torch/include/c10/core/impl/TorchDispatchModeTLS.h 2024-08-20T21:38:18.2540236Z inflating: build/lib/torch/include/c10/core/impl/VirtualGuardImpl.h 2024-08-20T21:38:18.2540491Z inflating: build/lib/torch/include/c10/core/impl/alloc_cpu.h 2024-08-20T21:38:18.2540668Z creating: build/lib/torch/include/c10/util/ 2024-08-20T21:38:18.2540913Z inflating: build/lib/torch/include/c10/util/AbortHandler.h 2024-08-20T21:38:18.2541124Z inflating: build/lib/torch/include/c10/util/AlignOf.h 2024-08-20T21:38:18.2541410Z inflating: build/lib/torch/include/c10/util/ApproximateClock.h 2024-08-20T21:38:18.2541608Z inflating: build/lib/torch/include/c10/util/Array.h 2024-08-20T21:38:18.2541822Z inflating: build/lib/torch/include/c10/util/ArrayRef.h 2024-08-20T21:38:18.2542239Z inflating: build/lib/torch/include/c10/util/BFloat16-inl.h 2024-08-20T21:38:18.2542555Z inflating: build/lib/torch/include/c10/util/BFloat16-math.h 2024-08-20T21:38:18.2542768Z inflating: build/lib/torch/include/c10/util/BFloat16.h 2024-08-20T21:38:18.2543000Z inflating: build/lib/torch/include/c10/util/Backtrace.h 2024-08-20T21:38:18.2543205Z inflating: build/lib/torch/include/c10/util/Bitset.h 2024-08-20T21:38:18.2543418Z inflating: build/lib/torch/include/c10/util/C++17.h 2024-08-20T21:38:18.2543632Z inflating: build/lib/torch/include/c10/util/CallOnce.h 2024-08-20T21:38:18.2543875Z inflating: build/lib/torch/include/c10/util/ConstexprCrc.h 2024-08-20T21:38:18.2544170Z inflating: build/lib/torch/include/c10/util/DeadlockDetection.h 2024-08-20T21:38:18.2544396Z inflating: build/lib/torch/include/c10/util/Deprecated.h 2024-08-20T21:38:18.2544615Z inflating: build/lib/torch/include/c10/util/DimVector.h 2024-08-20T21:38:18.2544884Z inflating: build/lib/torch/include/c10/util/DynamicCounter.h 2024-08-20T21:38:18.2545103Z inflating: build/lib/torch/include/c10/util/Exception.h 2024-08-20T21:38:18.2545375Z inflating: build/lib/torch/include/c10/util/ExclusivelyOwned.h 2024-08-20T21:38:18.2545755Z inflating: build/lib/torch/include/c10/util/ExclusivelyOwnedTensorTraits.h 2024-08-20T21:38:18.2545979Z inflating: build/lib/torch/include/c10/util/FbcodeMaps.h 2024-08-20T21:38:18.2546188Z inflating: build/lib/torch/include/c10/util/Flags.h 2024-08-20T21:38:18.2546540Z inflating: build/lib/torch/include/c10/util/Float8_e4m3fn-inl.h 2024-08-20T21:38:18.2546844Z inflating: build/lib/torch/include/c10/util/Float8_e4m3fn.h 2024-08-20T21:38:18.2547212Z inflating: build/lib/torch/include/c10/util/Float8_e4m3fnuz-inl.h 2024-08-20T21:38:18.2547469Z inflating: build/lib/torch/include/c10/util/Float8_e4m3fnuz.h 2024-08-20T21:38:18.2547790Z inflating: build/lib/torch/include/c10/util/Float8_e5m2-inl.h 2024-08-20T21:38:18.2548027Z inflating: build/lib/torch/include/c10/util/Float8_e5m2.h 2024-08-20T21:38:18.2548378Z inflating: build/lib/torch/include/c10/util/Float8_e5m2fnuz-inl.h 2024-08-20T21:38:18.2548633Z inflating: build/lib/torch/include/c10/util/Float8_e5m2fnuz.h 2024-08-20T21:38:18.2548900Z inflating: build/lib/torch/include/c10/util/Float8_fnuz_cvt.h 2024-08-20T21:38:18.2549131Z inflating: build/lib/torch/include/c10/util/FunctionRef.h 2024-08-20T21:38:18.2549454Z inflating: build/lib/torch/include/c10/util/Half-inl.h 2024-08-20T21:38:18.2549695Z inflating: build/lib/torch/include/c10/util/Half.h 2024-08-20T21:38:18.2549920Z inflating: build/lib/torch/include/c10/util/IdWrapper.h 2024-08-20T21:38:18.2550119Z inflating: build/lib/torch/include/c10/util/Lazy.h 2024-08-20T21:38:18.2550338Z inflating: build/lib/torch/include/c10/util/LeftRight.h 2024-08-20T21:38:18.2550525Z inflating: build/lib/torch/include/c10/util/Load.h 2024-08-20T21:38:18.2550743Z inflating: build/lib/torch/include/c10/util/Logging.h 2024-08-20T21:38:18.2550997Z inflating: build/lib/torch/include/c10/util/MathConstants.h 2024-08-20T21:38:18.2551221Z inflating: build/lib/torch/include/c10/util/MaybeOwned.h 2024-08-20T21:38:18.2551494Z inflating: build/lib/torch/include/c10/util/Metaprogramming.h 2024-08-20T21:38:18.2551706Z inflating: build/lib/torch/include/c10/util/Optional.h 2024-08-20T21:38:18.2551978Z inflating: build/lib/torch/include/c10/util/OptionalArrayRef.h 2024-08-20T21:38:18.2552247Z inflating: build/lib/torch/include/c10/util/ParallelGuard.h 2024-08-20T21:38:18.2552459Z inflating: build/lib/torch/include/c10/util/Registry.h 2024-08-20T21:38:18.2552690Z inflating: build/lib/torch/include/c10/util/ScopeExit.h 2024-08-20T21:38:18.2552920Z inflating: build/lib/torch/include/c10/util/SmallBuffer.h 2024-08-20T21:38:18.2553148Z inflating: build/lib/torch/include/c10/util/SmallVector.h 2024-08-20T21:38:18.2553383Z inflating: build/lib/torch/include/c10/util/StringUtil.h 2024-08-20T21:38:18.2553622Z inflating: build/lib/torch/include/c10/util/Synchronized.h 2024-08-20T21:38:18.2553848Z inflating: build/lib/torch/include/c10/util/ThreadLocal.h 2024-08-20T21:38:18.2554164Z inflating: build/lib/torch/include/c10/util/ThreadLocalDebugInfo.h 2024-08-20T21:38:18.2554353Z inflating: build/lib/torch/include/c10/util/Type.h 2024-08-20T21:38:18.2554562Z inflating: build/lib/torch/include/c10/util/TypeCast.h 2024-08-20T21:38:18.2554796Z inflating: build/lib/torch/include/c10/util/TypeIndex.h 2024-08-20T21:38:18.2555006Z inflating: build/lib/torch/include/c10/util/TypeList.h 2024-08-20T21:38:18.2555297Z inflating: build/lib/torch/include/c10/util/TypeSafeSignMath.h 2024-08-20T21:38:18.2555521Z inflating: build/lib/torch/include/c10/util/TypeTraits.h 2024-08-20T21:38:18.2555729Z inflating: build/lib/torch/include/c10/util/Unicode.h 2024-08-20T21:38:18.2555995Z inflating: build/lib/torch/include/c10/util/UniqueVoidPtr.h 2024-08-20T21:38:18.2556201Z inflating: build/lib/torch/include/c10/util/Unroll.h 2024-08-20T21:38:18.2556430Z inflating: build/lib/torch/include/c10/util/WaitCounter.h 2024-08-20T21:38:18.2556709Z inflating: build/lib/torch/include/c10/util/accumulate.h 2024-08-20T21:38:18.2556920Z inflating: build/lib/torch/include/c10/util/bit_cast.h 2024-08-20T21:38:18.2557119Z inflating: build/lib/torch/include/c10/util/bits.h 2024-08-20T21:38:18.2557324Z inflating: build/lib/torch/include/c10/util/complex.h 2024-08-20T21:38:18.2557565Z inflating: build/lib/torch/include/c10/util/complex_math.h 2024-08-20T21:38:18.2557879Z inflating: build/lib/torch/include/c10/util/complex_utils.h 2024-08-20T21:38:18.2558092Z inflating: build/lib/torch/include/c10/util/copysign.h 2024-08-20T21:38:18.2558287Z inflating: build/lib/torch/include/c10/util/env.h 2024-08-20T21:38:18.2558529Z inflating: build/lib/torch/include/c10/util/flat_hash_map.h 2024-08-20T21:38:18.2558824Z inflating: build/lib/torch/include/c10/util/floating_point_utils.h 2024-08-20T21:38:18.2559104Z inflating: build/lib/torch/include/c10/util/generic_math.h 2024-08-20T21:38:18.2559311Z inflating: build/lib/torch/include/c10/util/hash.h 2024-08-20T21:38:18.2559515Z inflating: build/lib/torch/include/c10/util/int128.h 2024-08-20T21:38:18.2559776Z inflating: build/lib/torch/include/c10/util/intrusive_ptr.h 2024-08-20T21:38:18.2559980Z inflating: build/lib/torch/include/c10/util/irange.h 2024-08-20T21:38:18.2560304Z inflating: build/lib/torch/include/c10/util/llvmMathExtras.h 2024-08-20T21:38:18.2560626Z inflating: build/lib/torch/include/c10/util/logging_is_google_glog.h 2024-08-20T21:38:18.2560961Z inflating: build/lib/torch/include/c10/util/logging_is_not_google_glog.h 2024-08-20T21:38:18.2561157Z inflating: build/lib/torch/include/c10/util/numa.h 2024-08-20T21:38:18.2561513Z inflating: build/lib/torch/include/c10/util/order_preserving_flat_hash_map.h 2024-08-20T21:38:18.2561738Z inflating: build/lib/torch/include/c10/util/overloaded.h 2024-08-20T21:38:18.2561980Z inflating: build/lib/torch/include/c10/util/python_stub.h 2024-08-20T21:38:18.2562183Z inflating: build/lib/torch/include/c10/util/qint32.h 2024-08-20T21:38:18.2562382Z inflating: build/lib/torch/include/c10/util/qint8.h 2024-08-20T21:38:18.2562605Z inflating: build/lib/torch/include/c10/util/quint2x4.h 2024-08-20T21:38:18.2562816Z inflating: build/lib/torch/include/c10/util/quint4x2.h 2024-08-20T21:38:18.2563022Z inflating: build/lib/torch/include/c10/util/quint8.h 2024-08-20T21:38:18.2563284Z inflating: build/lib/torch/include/c10/util/safe_numerics.h 2024-08-20T21:38:18.2563542Z inflating: build/lib/torch/include/c10/util/signal_handler.h 2024-08-20T21:38:18.2563791Z inflating: build/lib/torch/include/c10/util/sparse_bitset.h 2024-08-20T21:38:18.2564001Z inflating: build/lib/torch/include/c10/util/ssize.h 2024-08-20T21:38:18.2564275Z inflating: build/lib/torch/include/c10/util/static_tracepoint.h 2024-08-20T21:38:18.2564609Z inflating: build/lib/torch/include/c10/util/static_tracepoint_elfx86.h 2024-08-20T21:38:18.2564815Z inflating: build/lib/torch/include/c10/util/strides.h 2024-08-20T21:38:18.2565050Z inflating: build/lib/torch/include/c10/util/string_utils.h 2024-08-20T21:38:18.2565289Z inflating: build/lib/torch/include/c10/util/string_view.h 2024-08-20T21:38:18.2565512Z inflating: build/lib/torch/include/c10/util/strong_type.h 2024-08-20T21:38:18.2565729Z inflating: build/lib/torch/include/c10/util/tempfile.h 2024-08-20T21:38:18.2565964Z inflating: build/lib/torch/include/c10/util/thread_name.h 2024-08-20T21:38:18.2566171Z inflating: build/lib/torch/include/c10/util/typeid.h 2024-08-20T21:38:18.2566517Z inflating: build/lib/torch/include/c10/util/win32-headers.h 2024-08-20T21:38:18.2566690Z creating: build/lib/torch/include/c10/cuda/ 2024-08-20T21:38:18.2566944Z inflating: build/lib/torch/include/c10/cuda/CUDAAlgorithm.h 2024-08-20T21:38:18.2567253Z inflating: build/lib/torch/include/c10/cuda/CUDAAllocatorConfig.h 2024-08-20T21:38:18.2567557Z inflating: build/lib/torch/include/c10/cuda/CUDACachingAllocator.h 2024-08-20T21:38:18.2567849Z inflating: build/lib/torch/include/c10/cuda/CUDADeviceAssertion.h 2024-08-20T21:38:18.2568198Z inflating: build/lib/torch/include/c10/cuda/CUDADeviceAssertionHost.h 2024-08-20T21:38:18.2568451Z inflating: build/lib/torch/include/c10/cuda/CUDAException.h 2024-08-20T21:38:18.2568709Z inflating: build/lib/torch/include/c10/cuda/CUDAFunctions.h 2024-08-20T21:38:18.2569011Z inflating: build/lib/torch/include/c10/cuda/CUDAGraphsC10Utils.h 2024-08-20T21:38:18.2569304Z inflating: build/lib/torch/include/c10/cuda/CUDAGuard.h 2024-08-20T21:38:18.2569534Z inflating: build/lib/torch/include/c10/cuda/CUDAMacros.h 2024-08-20T21:38:18.2569802Z inflating: build/lib/torch/include/c10/cuda/CUDAMathCompat.h 2024-08-20T21:38:18.2570082Z inflating: build/lib/torch/include/c10/cuda/CUDAMiscFunctions.h 2024-08-20T21:38:18.2570317Z inflating: build/lib/torch/include/c10/cuda/CUDAStream.h 2024-08-20T21:38:18.2570536Z inflating: build/lib/torch/include/c10/cuda/driver_api.h 2024-08-20T21:38:18.2570712Z creating: build/lib/torch/include/c10/cuda/impl/ 2024-08-20T21:38:18.2571010Z inflating: build/lib/torch/include/c10/cuda/impl/CUDAGuardImpl.h 2024-08-20T21:38:18.2571257Z inflating: build/lib/torch/include/c10/cuda/impl/CUDATest.h 2024-08-20T21:38:18.2571413Z creating: build/lib/torch/include/c10/xpu/ 2024-08-20T21:38:18.2571784Z inflating: build/lib/torch/include/c10/xpu/XPUCachingAllocator.h 2024-08-20T21:38:18.2572030Z inflating: build/lib/torch/include/c10/xpu/XPUDeviceProp.h 2024-08-20T21:38:18.2572263Z inflating: build/lib/torch/include/c10/xpu/XPUException.h 2024-08-20T21:38:18.2572503Z inflating: build/lib/torch/include/c10/xpu/XPUFunctions.h 2024-08-20T21:38:18.2572719Z inflating: build/lib/torch/include/c10/xpu/XPUMacros.h 2024-08-20T21:38:18.2572947Z inflating: build/lib/torch/include/c10/xpu/XPUStream.h 2024-08-20T21:38:18.2573118Z creating: build/lib/torch/include/c10/xpu/impl/ 2024-08-20T21:38:18.2573410Z inflating: build/lib/torch/include/c10/xpu/impl/XPUGuardImpl.h 2024-08-20T21:38:18.2573571Z creating: build/lib/torch/include/torch/ 2024-08-20T21:38:18.2573791Z inflating: build/lib/torch/include/torch/custom_class.h 2024-08-20T21:38:18.2574056Z inflating: build/lib/torch/include/torch/custom_class_detail.h 2024-08-20T21:38:18.2574268Z inflating: build/lib/torch/include/torch/library.h 2024-08-20T21:38:18.2574460Z inflating: build/lib/torch/include/torch/script.h 2024-08-20T21:38:18.2574670Z inflating: build/lib/torch/include/torch/extension.h 2024-08-20T21:38:18.2574850Z creating: build/lib/torch/include/torch/csrc/ 2024-08-20T21:38:18.2575062Z inflating: build/lib/torch/include/torch/csrc/Export.h 2024-08-20T21:38:18.2575337Z inflating: build/lib/torch/include/torch/csrc/CudaIPCTypes.h 2024-08-20T21:38:18.2575585Z inflating: build/lib/torch/include/torch/csrc/DataLoader.h 2024-08-20T21:38:18.2575798Z inflating: build/lib/torch/include/torch/csrc/Device.h 2024-08-20T21:38:18.2576019Z inflating: build/lib/torch/include/torch/csrc/Dtype.h 2024-08-20T21:38:18.2576280Z inflating: build/lib/torch/include/torch/csrc/DynamicTypes.h 2024-08-20T21:38:18.2576489Z inflating: build/lib/torch/include/torch/csrc/Event.h 2024-08-20T21:38:18.2576741Z inflating: build/lib/torch/include/torch/csrc/Exceptions.h 2024-08-20T21:38:18.2576978Z inflating: build/lib/torch/include/torch/csrc/Generator.h 2024-08-20T21:38:18.2577195Z inflating: build/lib/torch/include/torch/csrc/Layout.h 2024-08-20T21:38:18.2577465Z inflating: build/lib/torch/include/torch/csrc/MemoryFormat.h 2024-08-20T21:38:18.2577678Z inflating: build/lib/torch/include/torch/csrc/Module.h 2024-08-20T21:38:18.2577964Z inflating: build/lib/torch/include/torch/csrc/PyInterpreter.h 2024-08-20T21:38:18.2578184Z inflating: build/lib/torch/include/torch/csrc/QScheme.h 2024-08-20T21:38:18.2578389Z inflating: build/lib/torch/include/torch/csrc/Size.h 2024-08-20T21:38:18.2578618Z inflating: build/lib/torch/include/torch/csrc/Storage.h 2024-08-20T21:38:18.2578938Z inflating: build/lib/torch/include/torch/csrc/StorageMethods.h 2024-08-20T21:38:18.2579216Z inflating: build/lib/torch/include/torch/csrc/StorageSharing.h 2024-08-20T21:38:18.2579443Z inflating: build/lib/torch/include/torch/csrc/Stream.h 2024-08-20T21:38:18.2579674Z inflating: build/lib/torch/include/torch/csrc/THConcat.h 2024-08-20T21:38:18.2580030Z inflating: build/lib/torch/include/torch/csrc/THP.h 2024-08-20T21:38:18.2580271Z inflating: build/lib/torch/include/torch/csrc/TypeInfo.h 2024-08-20T21:38:18.2580482Z inflating: build/lib/torch/include/torch/csrc/Types.h 2024-08-20T21:38:18.2580731Z inflating: build/lib/torch/include/torch/csrc/copy_utils.h 2024-08-20T21:38:18.2580982Z inflating: build/lib/torch/include/torch/csrc/itt_wrapper.h 2024-08-20T21:38:18.2581251Z inflating: build/lib/torch/include/torch/csrc/python_dimname.h 2024-08-20T21:38:18.2581536Z inflating: build/lib/torch/include/torch/csrc/python_headers.h 2024-08-20T21:38:18.2581800Z inflating: build/lib/torch/include/torch/csrc/serialization.h 2024-08-20T21:38:18.2582360Z inflating: build/lib/torch/include/torch/csrc/utils.h 2024-08-20T21:38:18.2582548Z creating: build/lib/torch/include/torch/csrc/api/ 2024-08-20T21:38:18.2583134Z creating: build/lib/torch/include/torch/csrc/api/include/ 2024-08-20T21:38:18.2583592Z creating: build/lib/torch/include/torch/csrc/api/include/torch/ 2024-08-20T21:38:18.2583944Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/all.h 2024-08-20T21:38:18.2584373Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/arg.h 2024-08-20T21:38:18.2584911Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/autograd.h 2024-08-20T21:38:18.2585366Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/cuda.h 2024-08-20T21:38:18.2585864Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data.h 2024-08-20T21:38:18.2586923Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/enum.h 2024-08-20T21:38:18.2587818Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/expanding_array.h 2024-08-20T21:38:18.2588867Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/fft.h 2024-08-20T21:38:18.2589406Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/imethod.h 2024-08-20T21:38:18.2589961Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/jit.h 2024-08-20T21:38:18.2591899Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/linalg.h 2024-08-20T21:38:18.2592440Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/mps.h 2024-08-20T21:38:18.2593297Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nested.h 2024-08-20T21:38:18.2593788Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn.h 2024-08-20T21:38:18.2594270Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/optim.h 2024-08-20T21:38:18.2595943Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/ordered_dict.h 2024-08-20T21:38:18.2597096Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/python.h 2024-08-20T21:38:18.2597878Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/serialize.h 2024-08-20T21:38:18.2598360Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/sparse.h 2024-08-20T21:38:18.2600553Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/special.h 2024-08-20T21:38:18.2601016Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/torch.h 2024-08-20T21:38:18.2601635Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/types.h 2024-08-20T21:38:18.2602398Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/utils.h 2024-08-20T21:38:18.2602929Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/xpu.h 2024-08-20T21:38:18.2603562Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/version.h 2024-08-20T21:38:18.2603865Z creating: build/lib/torch/include/torch/csrc/api/include/torch/data/ 2024-08-20T21:38:18.2604624Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/dataloader.h 2024-08-20T21:38:18.2605372Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h 2024-08-20T21:38:18.2605959Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/datasets.h 2024-08-20T21:38:18.2606757Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/example.h 2024-08-20T21:38:18.2607634Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/iterator.h 2024-08-20T21:38:18.2608372Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/samplers.h 2024-08-20T21:38:18.2609125Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/transforms.h 2024-08-20T21:38:18.2609795Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/worker_exception.h 2024-08-20T21:38:18.2610228Z creating: build/lib/torch/include/torch/csrc/api/include/torch/data/dataloader/ 2024-08-20T21:38:18.2611068Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h 2024-08-20T21:38:18.2611943Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h 2024-08-20T21:38:18.2612947Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/dataloader/stateless.h 2024-08-20T21:38:18.2613637Z creating: build/lib/torch/include/torch/csrc/api/include/torch/data/datasets/ 2024-08-20T21:38:18.2614119Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/datasets/base.h 2024-08-20T21:38:18.2615802Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/datasets/chunk.h 2024-08-20T21:38:18.2616582Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/datasets/map.h 2024-08-20T21:38:18.2617415Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/datasets/mnist.h 2024-08-20T21:38:18.2618251Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/datasets/shared.h 2024-08-20T21:38:18.2619106Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/datasets/stateful.h 2024-08-20T21:38:18.2619973Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/datasets/tensor.h 2024-08-20T21:38:18.2620627Z creating: build/lib/torch/include/torch/csrc/api/include/torch/data/detail/ 2024-08-20T21:38:18.2621397Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/detail/data_shuttle.h 2024-08-20T21:38:18.2622171Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/detail/queue.h 2024-08-20T21:38:18.2623016Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/detail/sequencers.h 2024-08-20T21:38:18.2623679Z creating: build/lib/torch/include/torch/csrc/api/include/torch/data/samplers/ 2024-08-20T21:38:18.2624452Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/samplers/base.h 2024-08-20T21:38:18.2625524Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/samplers/custom_batch_request.h 2024-08-20T21:38:18.2626580Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/samplers/distributed.h 2024-08-20T21:38:18.2627416Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/samplers/random.h 2024-08-20T21:38:18.2628308Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/samplers/sequential.h 2024-08-20T21:38:18.2629179Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/samplers/serialize.h 2024-08-20T21:38:18.2630019Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/samplers/stream.h 2024-08-20T21:38:18.2630728Z creating: build/lib/torch/include/torch/csrc/api/include/torch/data/transforms/ 2024-08-20T21:38:18.2631408Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/transforms/base.h 2024-08-20T21:38:18.2631880Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/transforms/collate.h 2024-08-20T21:38:18.2632632Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/transforms/lambda.h 2024-08-20T21:38:18.2633482Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/transforms/stack.h 2024-08-20T21:38:18.2634443Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/data/transforms/tensor.h 2024-08-20T21:38:18.2635056Z creating: build/lib/torch/include/torch/csrc/api/include/torch/detail/ 2024-08-20T21:38:18.2635957Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/detail/TensorDataContainer.h 2024-08-20T21:38:18.2636411Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/detail/static.h 2024-08-20T21:38:18.2636694Z creating: build/lib/torch/include/torch/csrc/api/include/torch/nn/ 2024-08-20T21:38:18.2637096Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/cloneable.h 2024-08-20T21:38:18.2637494Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/functional.h 2024-08-20T21:38:18.2638130Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/init.h 2024-08-20T21:38:18.2638940Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/module.h 2024-08-20T21:38:18.2639614Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules.h 2024-08-20T21:38:18.2640286Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options.h 2024-08-20T21:38:18.2641234Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/pimpl-inl.h 2024-08-20T21:38:18.2641929Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/pimpl.h 2024-08-20T21:38:18.2642298Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/utils.h 2024-08-20T21:38:18.2642665Z creating: build/lib/torch/include/torch/csrc/api/include/torch/nn/functional/ 2024-08-20T21:38:18.2644386Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/functional/activation.h 2024-08-20T21:38:18.2645134Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/functional/batchnorm.h 2024-08-20T21:38:18.2645970Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/functional/conv.h 2024-08-20T21:38:18.2646693Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/functional/distance.h 2024-08-20T21:38:18.2647502Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/functional/dropout.h 2024-08-20T21:38:18.2648451Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/functional/embedding.h 2024-08-20T21:38:18.2649256Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/functional/fold.h 2024-08-20T21:38:18.2650228Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/functional/instancenorm.h 2024-08-20T21:38:18.2650745Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/functional/linear.h 2024-08-20T21:38:18.2652571Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/functional/loss.h 2024-08-20T21:38:18.2653845Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/functional/normalization.h 2024-08-20T21:38:18.2654735Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/functional/padding.h 2024-08-20T21:38:18.2655360Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/functional/pixelshuffle.h 2024-08-20T21:38:18.2657275Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/functional/pooling.h 2024-08-20T21:38:18.2658391Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/functional/upsampling.h 2024-08-20T21:38:18.2659319Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/functional/vision.h 2024-08-20T21:38:18.2660013Z creating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/ 2024-08-20T21:38:18.2661715Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/activation.h 2024-08-20T21:38:18.2662543Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/adaptive.h 2024-08-20T21:38:18.2663147Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/batchnorm.h 2024-08-20T21:38:18.2664164Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/conv.h 2024-08-20T21:38:18.2665007Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/distance.h 2024-08-20T21:38:18.2665636Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/dropout.h 2024-08-20T21:38:18.2666575Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/embedding.h 2024-08-20T21:38:18.2667348Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/fold.h 2024-08-20T21:38:18.2668231Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/instancenorm.h 2024-08-20T21:38:18.2668813Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/linear.h 2024-08-20T21:38:18.2670678Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/loss.h 2024-08-20T21:38:18.2671788Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/normalization.h 2024-08-20T21:38:18.2672643Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/padding.h 2024-08-20T21:38:18.2673277Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/pixelshuffle.h 2024-08-20T21:38:18.2674508Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/pooling.h 2024-08-20T21:38:18.2675454Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/rnn.h 2024-08-20T21:38:18.2676327Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/transformer.h 2024-08-20T21:38:18.2677275Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/transformercoder.h 2024-08-20T21:38:18.2678148Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/transformerlayer.h 2024-08-20T21:38:18.2678994Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/upsampling.h 2024-08-20T21:38:18.2679805Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/options/vision.h 2024-08-20T21:38:18.2680283Z creating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/ 2024-08-20T21:38:18.2680730Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/_functions.h 2024-08-20T21:38:18.2682080Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/activation.h 2024-08-20T21:38:18.2682929Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/adaptive.h 2024-08-20T21:38:18.2684039Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/batchnorm.h 2024-08-20T21:38:18.2684872Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/common.h 2024-08-20T21:38:18.2686201Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h 2024-08-20T21:38:18.2686993Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/distance.h 2024-08-20T21:38:18.2687859Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/dropout.h 2024-08-20T21:38:18.2688814Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/embedding.h 2024-08-20T21:38:18.2689503Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/fold.h 2024-08-20T21:38:18.2690523Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/instancenorm.h 2024-08-20T21:38:18.2691426Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/linear.h 2024-08-20T21:38:18.2693575Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/loss.h 2024-08-20T21:38:18.2694508Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/normalization.h 2024-08-20T21:38:18.2695652Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/padding.h 2024-08-20T21:38:18.2696555Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/pixelshuffle.h 2024-08-20T21:38:18.2698385Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/pooling.h 2024-08-20T21:38:18.2699538Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/rnn.h 2024-08-20T21:38:18.2700630Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/transformer.h 2024-08-20T21:38:18.2701980Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/transformercoder.h 2024-08-20T21:38:18.2703045Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/transformerlayer.h 2024-08-20T21:38:18.2703889Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/upsampling.h 2024-08-20T21:38:18.2704635Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/utils.h 2024-08-20T21:38:18.2705130Z creating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/container/ 2024-08-20T21:38:18.2706210Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/container/any.h 2024-08-20T21:38:18.2707344Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/container/any_module_holder.h 2024-08-20T21:38:18.2708355Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/container/any_value.h 2024-08-20T21:38:18.2709067Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/container/functional.h 2024-08-20T21:38:18.2710103Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/container/moduledict.h 2024-08-20T21:38:18.2711359Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/container/modulelist.h 2024-08-20T21:38:18.2712258Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/container/named_any.h 2024-08-20T21:38:18.2713255Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/container/parameterdict.h 2024-08-20T21:38:18.2714076Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/container/parameterlist.h 2024-08-20T21:38:18.2715650Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/modules/container/sequential.h 2024-08-20T21:38:18.2716041Z creating: build/lib/torch/include/torch/csrc/api/include/torch/nn/parallel/ 2024-08-20T21:38:18.2717475Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/parallel/data_parallel.h 2024-08-20T21:38:18.2717923Z creating: build/lib/torch/include/torch/csrc/api/include/torch/nn/utils/ 2024-08-20T21:38:18.2718815Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/utils/clip_grad.h 2024-08-20T21:38:18.2719571Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/utils/convert_parameters.h 2024-08-20T21:38:18.2720720Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/nn/utils/rnn.h 2024-08-20T21:38:18.2721269Z creating: build/lib/torch/include/torch/csrc/api/include/torch/optim/ 2024-08-20T21:38:18.2722024Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/optim/adagrad.h 2024-08-20T21:38:18.2722722Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/optim/adam.h 2024-08-20T21:38:18.2723447Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/optim/adamw.h 2024-08-20T21:38:18.2724128Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/optim/lbfgs.h 2024-08-20T21:38:18.2725092Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/optim/optimizer.h 2024-08-20T21:38:18.2725970Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/optim/rmsprop.h 2024-08-20T21:38:18.2727264Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/optim/serialize.h 2024-08-20T21:38:18.2727961Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/optim/sgd.h 2024-08-20T21:38:18.2728699Z creating: build/lib/torch/include/torch/csrc/api/include/torch/optim/schedulers/ 2024-08-20T21:38:18.2729849Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/optim/schedulers/lr_scheduler.h 2024-08-20T21:38:18.2731090Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/optim/schedulers/reduce_on_plateau_scheduler.h 2024-08-20T21:38:18.2731969Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/optim/schedulers/step_lr.h 2024-08-20T21:38:18.2732606Z creating: build/lib/torch/include/torch/csrc/api/include/torch/serialize/ 2024-08-20T21:38:18.2733374Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/serialize/archive.h 2024-08-20T21:38:18.2734028Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/serialize/input-archive.h 2024-08-20T21:38:18.2734612Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/serialize/output-archive.h 2024-08-20T21:38:18.2735434Z inflating: build/lib/torch/include/torch/csrc/api/include/torch/serialize/tensor.h 2024-08-20T21:38:18.2735843Z creating: build/lib/torch/include/torch/csrc/autograd/ 2024-08-20T21:38:18.2736401Z inflating: build/lib/torch/include/torch/csrc/autograd/FunctionsManual.h 2024-08-20T21:38:18.2736737Z inflating: build/lib/torch/include/torch/csrc/autograd/InferenceMode.h 2024-08-20T21:38:18.2737688Z inflating: build/lib/torch/include/torch/csrc/autograd/VariableTypeUtils.h 2024-08-20T21:38:18.2738307Z inflating: build/lib/torch/include/torch/csrc/autograd/anomaly_mode.h 2024-08-20T21:38:18.2739012Z inflating: build/lib/torch/include/torch/csrc/autograd/autograd.h 2024-08-20T21:38:18.2739954Z inflating: build/lib/torch/include/torch/csrc/autograd/autograd_not_implemented_fallback.h 2024-08-20T21:38:18.2740414Z inflating: build/lib/torch/include/torch/csrc/autograd/cpp_hook.h 2024-08-20T21:38:18.2742415Z inflating: build/lib/torch/include/torch/csrc/autograd/custom_function.h 2024-08-20T21:38:18.2742929Z inflating: build/lib/torch/include/torch/csrc/autograd/edge.h 2024-08-20T21:38:18.2744342Z inflating: build/lib/torch/include/torch/csrc/autograd/engine.h 2024-08-20T21:38:18.2745505Z inflating: build/lib/torch/include/torch/csrc/autograd/forward_grad.h 2024-08-20T21:38:18.2748338Z inflating: build/lib/torch/include/torch/csrc/autograd/function.h 2024-08-20T21:38:18.2748970Z inflating: build/lib/torch/include/torch/csrc/autograd/function_hook.h 2024-08-20T21:38:18.2749483Z inflating: build/lib/torch/include/torch/csrc/autograd/grad_mode.h 2024-08-20T21:38:18.2750503Z inflating: build/lib/torch/include/torch/csrc/autograd/graph_task.h 2024-08-20T21:38:18.2751124Z inflating: build/lib/torch/include/torch/csrc/autograd/input_buffer.h 2024-08-20T21:38:18.2751874Z inflating: build/lib/torch/include/torch/csrc/autograd/input_metadata.h 2024-08-20T21:38:18.2752587Z inflating: build/lib/torch/include/torch/csrc/autograd/jit_decomp_interface.h 2024-08-20T21:38:18.2753115Z inflating: build/lib/torch/include/torch/csrc/autograd/profiler.h 2024-08-20T21:38:18.2753993Z inflating: build/lib/torch/include/torch/csrc/autograd/profiler_kineto.h 2024-08-20T21:38:18.2755201Z inflating: build/lib/torch/include/torch/csrc/autograd/profiler_legacy.h 2024-08-20T21:38:18.2765520Z inflating: build/lib/torch/include/torch/csrc/autograd/profiler_python.h 2024-08-20T21:38:18.2766198Z inflating: build/lib/torch/include/torch/csrc/autograd/python_anomaly_mode.h 2024-08-20T21:38:18.2766887Z inflating: build/lib/torch/include/torch/csrc/autograd/python_autograd.h 2024-08-20T21:38:18.2767432Z inflating: build/lib/torch/include/torch/csrc/autograd/python_cpp_function.h 2024-08-20T21:38:18.2767756Z inflating: build/lib/torch/include/torch/csrc/autograd/python_engine.h 2024-08-20T21:38:18.2768100Z inflating: build/lib/torch/include/torch/csrc/autograd/python_enum_tag.h 2024-08-20T21:38:18.2768486Z extracting: build/lib/torch/include/torch/csrc/autograd/python_fft_functions.h 2024-08-20T21:38:18.2768960Z inflating: build/lib/torch/include/torch/csrc/autograd/python_function.h 2024-08-20T21:38:18.2769272Z inflating: build/lib/torch/include/torch/csrc/autograd/python_hook.h 2024-08-20T21:38:18.2769658Z inflating: build/lib/torch/include/torch/csrc/autograd/python_legacy_variable.h 2024-08-20T21:38:18.2770053Z inflating: build/lib/torch/include/torch/csrc/autograd/python_linalg_functions.h 2024-08-20T21:38:18.2770442Z inflating: build/lib/torch/include/torch/csrc/autograd/python_nested_functions.h 2024-08-20T21:38:18.2770808Z inflating: build/lib/torch/include/torch/csrc/autograd/python_nn_functions.h 2024-08-20T21:38:18.2771234Z inflating: build/lib/torch/include/torch/csrc/autograd/python_saved_variable_hooks.h 2024-08-20T21:38:18.2771629Z inflating: build/lib/torch/include/torch/csrc/autograd/python_sparse_functions.h 2024-08-20T21:38:18.2772051Z inflating: build/lib/torch/include/torch/csrc/autograd/python_special_functions.h 2024-08-20T21:38:18.2772498Z inflating: build/lib/torch/include/torch/csrc/autograd/python_torch_functions.h 2024-08-20T21:38:18.2772844Z inflating: build/lib/torch/include/torch/csrc/autograd/python_variable.h 2024-08-20T21:38:18.2773256Z inflating: build/lib/torch/include/torch/csrc/autograd/python_variable_indexing.h 2024-08-20T21:38:18.2773624Z inflating: build/lib/torch/include/torch/csrc/autograd/record_function_ops.h 2024-08-20T21:38:18.2773963Z inflating: build/lib/torch/include/torch/csrc/autograd/saved_variable.h 2024-08-20T21:38:18.2774355Z inflating: build/lib/torch/include/torch/csrc/autograd/saved_variable_hooks.h 2024-08-20T21:38:18.2774646Z inflating: build/lib/torch/include/torch/csrc/autograd/symbolic.h 2024-08-20T21:38:18.2774950Z inflating: build/lib/torch/include/torch/csrc/autograd/variable.h 2024-08-20T21:38:18.2775282Z inflating: build/lib/torch/include/torch/csrc/autograd/variable_info.h 2024-08-20T21:38:18.2775567Z creating: build/lib/torch/include/torch/csrc/autograd/functions/ 2024-08-20T21:38:18.2775998Z inflating: build/lib/torch/include/torch/csrc/autograd/functions/accumulate_grad.h 2024-08-20T21:38:18.2776375Z inflating: build/lib/torch/include/torch/csrc/autograd/functions/basic_ops.h 2024-08-20T21:38:18.2776711Z inflating: build/lib/torch/include/torch/csrc/autograd/functions/comm.h 2024-08-20T21:38:18.2777063Z inflating: build/lib/torch/include/torch/csrc/autograd/functions/pybind.h 2024-08-20T21:38:18.2777414Z inflating: build/lib/torch/include/torch/csrc/autograd/functions/tensor.h 2024-08-20T21:38:18.2777757Z inflating: build/lib/torch/include/torch/csrc/autograd/functions/utils.h 2024-08-20T21:38:18.2778028Z creating: build/lib/torch/include/torch/csrc/autograd/generated/ 2024-08-20T21:38:18.2778441Z inflating: build/lib/torch/include/torch/csrc/autograd/generated/python_functions.h 2024-08-20T21:38:18.2779120Z inflating: build/lib/torch/include/torch/csrc/autograd/generated/python_return_types.h 2024-08-20T21:38:18.2779615Z inflating: build/lib/torch/include/torch/csrc/autograd/generated/VariableType.h 2024-08-20T21:38:18.2799077Z inflating: build/lib/torch/include/torch/csrc/autograd/generated/Functions.h 2024-08-20T21:38:18.2801935Z inflating: build/lib/torch/include/torch/csrc/autograd/generated/variable_factories.h 2024-08-20T21:38:18.2803840Z inflating: build/lib/torch/include/torch/csrc/autograd/generated/ViewFuncs.h 2024-08-20T21:38:18.2804107Z creating: build/lib/torch/include/torch/csrc/autograd/utils/ 2024-08-20T21:38:18.2804588Z inflating: build/lib/torch/include/torch/csrc/autograd/utils/error_messages.h 2024-08-20T21:38:18.2805372Z inflating: build/lib/torch/include/torch/csrc/autograd/utils/grad_layout_contract.h 2024-08-20T21:38:18.2805886Z inflating: build/lib/torch/include/torch/csrc/autograd/utils/lambda_post_hook.h 2024-08-20T21:38:18.2806507Z inflating: build/lib/torch/include/torch/csrc/autograd/utils/python_arg_parsing.h 2024-08-20T21:38:18.2807242Z inflating: build/lib/torch/include/torch/csrc/autograd/utils/warnings.h 2024-08-20T21:38:18.2807875Z inflating: build/lib/torch/include/torch/csrc/autograd/utils/wrap_outputs.h 2024-08-20T21:38:18.2808083Z creating: build/lib/torch/include/torch/csrc/cuda/ 2024-08-20T21:38:18.2808935Z inflating: build/lib/torch/include/torch/csrc/cuda/CUDAPluggableAllocator.h 2024-08-20T21:38:18.2809298Z inflating: build/lib/torch/include/torch/csrc/cuda/Event.h 2024-08-20T21:38:18.2809761Z inflating: build/lib/torch/include/torch/csrc/cuda/GdsFile.h 2024-08-20T21:38:18.2810221Z inflating: build/lib/torch/include/torch/csrc/cuda/Module.h 2024-08-20T21:38:18.2810802Z inflating: build/lib/torch/include/torch/csrc/cuda/Stream.h 2024-08-20T21:38:18.2811186Z inflating: build/lib/torch/include/torch/csrc/cuda/THCP.h 2024-08-20T21:38:18.2811766Z inflating: build/lib/torch/include/torch/csrc/cuda/comm.h 2024-08-20T21:38:18.2812216Z inflating: build/lib/torch/include/torch/csrc/cuda/device_set.h 2024-08-20T21:38:18.2812805Z inflating: build/lib/torch/include/torch/csrc/cuda/memory_snapshot.h 2024-08-20T21:38:18.2813620Z inflating: build/lib/torch/include/torch/csrc/cuda/nccl.h 2024-08-20T21:38:18.2814319Z inflating: build/lib/torch/include/torch/csrc/cuda/python_comm.h 2024-08-20T21:38:18.2814775Z inflating: build/lib/torch/include/torch/csrc/cuda/python_nccl.h 2024-08-20T21:38:18.2815098Z creating: build/lib/torch/include/torch/csrc/distributed/ 2024-08-20T21:38:18.2815427Z creating: build/lib/torch/include/torch/csrc/distributed/c10d/ 2024-08-20T21:38:18.2817276Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/TraceUtils.h 2024-08-20T21:38:18.2817710Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/c10d.h 2024-08-20T21:38:18.2818233Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/debug.h 2024-08-20T21:38:18.2818759Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/error.h 2024-08-20T21:38:18.2819377Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/exception.h 2024-08-20T21:38:18.2820070Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/logging.h 2024-08-20T21:38:18.2820685Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/python_comm_hook.h 2024-08-20T21:38:18.2821269Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/socket.h 2024-08-20T21:38:18.2822646Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/Backend.hpp 2024-08-20T21:38:18.2823048Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/Backoff.hpp 2024-08-20T21:38:18.2824031Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/CUDASymmetricMemory.hpp 2024-08-20T21:38:18.2824525Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/DMAConnectivity.hpp 2024-08-20T21:38:18.2825430Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/FakeProcessGroup.hpp 2024-08-20T21:38:18.2826159Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/FileStore.hpp 2024-08-20T21:38:18.2826810Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/Functional.hpp 2024-08-20T21:38:18.2827396Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/GlooDeviceFactory.hpp 2024-08-20T21:38:18.2827889Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/GroupRegistry.hpp 2024-08-20T21:38:18.2828489Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/HashStore.hpp 2024-08-20T21:38:18.2830859Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/NCCLUtils.hpp 2024-08-20T21:38:18.2831707Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/ParamCommsUtils.hpp 2024-08-20T21:38:18.2832283Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/PrefixStore.hpp 2024-08-20T21:38:18.2834496Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/ProcessGroup.hpp 2024-08-20T21:38:18.2836182Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/ProcessGroupGloo.hpp 2024-08-20T21:38:18.2837315Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/ProcessGroupMPI.hpp 2024-08-20T21:38:18.2841071Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/ProcessGroupNCCL.hpp 2024-08-20T21:38:18.2842308Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/ProcessGroupUCC.hpp 2024-08-20T21:38:18.2843086Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/ProcessGroupWrapper.hpp 2024-08-20T21:38:18.2844150Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/PyProcessGroup.hpp 2024-08-20T21:38:18.2844701Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/RankLocal.hpp 2024-08-20T21:38:18.2845425Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/Store.hpp 2024-08-20T21:38:18.2846637Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/SymmetricMemory.hpp 2024-08-20T21:38:18.2847314Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/TCPStore.hpp 2024-08-20T21:38:18.2848000Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/TCPStoreBackend.hpp 2024-08-20T21:38:18.2848798Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/Types.hpp 2024-08-20T21:38:18.2849463Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/UCCTracing.hpp 2024-08-20T21:38:18.2850414Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/UCCUtils.hpp 2024-08-20T21:38:18.2850953Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/UnixSockUtils.hpp 2024-08-20T21:38:18.2852952Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/Utils.hpp 2024-08-20T21:38:18.2853402Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/WinSockUtils.hpp 2024-08-20T21:38:18.2854286Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/Work.hpp 2024-08-20T21:38:18.2855154Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/comm.hpp 2024-08-20T21:38:18.2855814Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/default_comm_hooks.hpp 2024-08-20T21:38:18.2856668Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/intra_node_comm.hpp 2024-08-20T21:38:18.2857516Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/logger.hpp 2024-08-20T21:38:18.2860062Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/reducer.hpp 2024-08-20T21:38:18.2860666Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/reducer_timer.hpp 2024-08-20T21:38:18.2861350Z inflating: build/lib/torch/include/torch/csrc/distributed/c10d/sequence_num.hpp 2024-08-20T21:38:18.2861624Z creating: build/lib/torch/include/torch/csrc/distributed/rpc/ 2024-08-20T21:38:18.2862230Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/agent_utils.h 2024-08-20T21:38:18.2863353Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/message.h 2024-08-20T21:38:18.2863928Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/py_rref.h 2024-08-20T21:38:18.2864479Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/python_call.h 2024-08-20T21:38:18.2865172Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/python_functions.h 2024-08-20T21:38:18.2865667Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/python_remote_call.h 2024-08-20T21:38:18.2866280Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/python_resp.h 2024-08-20T21:38:18.2867194Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/python_rpc_handler.h 2024-08-20T21:38:18.2867935Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/request_callback.h 2024-08-20T21:38:18.2868636Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/request_callback_impl.h 2024-08-20T21:38:18.2869391Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/request_callback_no_python.h 2024-08-20T21:38:18.2870130Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/rpc.h 2024-08-20T21:38:18.2871868Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/rpc_agent.h 2024-08-20T21:38:18.2872305Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/rpc_command_base.h 2024-08-20T21:38:18.2874087Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/rref_context.h 2024-08-20T21:38:18.2875851Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/rref_impl.h 2024-08-20T21:38:18.2876606Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/rref_proto.h 2024-08-20T21:38:18.2877300Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/script_call.h 2024-08-20T21:38:18.2877931Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/script_remote_call.h 2024-08-20T21:38:18.2878406Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/script_resp.h 2024-08-20T21:38:18.2880337Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/tensorpipe_agent.h 2024-08-20T21:38:18.2881142Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/tensorpipe_utils.h 2024-08-20T21:38:18.2881743Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/torchscript_functions.h 2024-08-20T21:38:18.2882310Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/types.h 2024-08-20T21:38:18.2882949Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/unpickled_python_call.h 2024-08-20T21:38:18.2883582Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/unpickled_python_remote_call.h 2024-08-20T21:38:18.2884263Z inflating: build/lib/torch/include/torch/csrc/distributed/rpc/utils.h 2024-08-20T21:38:18.2884555Z creating: build/lib/torch/include/torch/csrc/distributed/autograd/ 2024-08-20T21:38:18.2885121Z creating: build/lib/torch/include/torch/csrc/distributed/autograd/context/ 2024-08-20T21:38:18.2886189Z inflating: build/lib/torch/include/torch/csrc/distributed/autograd/context/container.h 2024-08-20T21:38:18.2887162Z inflating: build/lib/torch/include/torch/csrc/distributed/autograd/context/context.h 2024-08-20T21:38:18.2887611Z creating: build/lib/torch/include/torch/csrc/distributed/autograd/functions/ 2024-08-20T21:38:18.2888347Z inflating: build/lib/torch/include/torch/csrc/distributed/autograd/functions/recvrpc_backward.h 2024-08-20T21:38:18.2888964Z inflating: build/lib/torch/include/torch/csrc/distributed/autograd/functions/sendrpc_backward.h 2024-08-20T21:38:18.2889445Z creating: build/lib/torch/include/torch/csrc/distributed/autograd/rpc_messages/ 2024-08-20T21:38:18.2890080Z inflating: build/lib/torch/include/torch/csrc/distributed/autograd/rpc_messages/autograd_metadata.h 2024-08-20T21:38:18.2890798Z inflating: build/lib/torch/include/torch/csrc/distributed/autograd/rpc_messages/cleanup_autograd_context_req.h 2024-08-20T21:38:18.2891553Z inflating: build/lib/torch/include/torch/csrc/distributed/autograd/rpc_messages/cleanup_autograd_context_resp.h 2024-08-20T21:38:18.2892183Z inflating: build/lib/torch/include/torch/csrc/distributed/autograd/rpc_messages/propagate_gradients_req.h 2024-08-20T21:38:18.2892932Z inflating: build/lib/torch/include/torch/csrc/distributed/autograd/rpc_messages/propagate_gradients_resp.h 2024-08-20T21:38:18.2893543Z inflating: build/lib/torch/include/torch/csrc/distributed/autograd/rpc_messages/rpc_with_autograd.h 2024-08-20T21:38:18.2894250Z inflating: build/lib/torch/include/torch/csrc/distributed/autograd/rpc_messages/rpc_with_profiling_req.h 2024-08-20T21:38:18.2894939Z inflating: build/lib/torch/include/torch/csrc/distributed/autograd/rpc_messages/rpc_with_profiling_resp.h 2024-08-20T21:38:18.2895537Z inflating: build/lib/torch/include/torch/csrc/distributed/autograd/rpc_messages/rref_backward_req.h 2024-08-20T21:38:18.2896215Z inflating: build/lib/torch/include/torch/csrc/distributed/autograd/rpc_messages/rref_backward_resp.h 2024-08-20T21:38:18.2896423Z creating: build/lib/torch/include/torch/csrc/dynamo/ 2024-08-20T21:38:18.2896837Z inflating: build/lib/torch/include/torch/csrc/dynamo/cache_entry.h 2024-08-20T21:38:18.2898433Z inflating: build/lib/torch/include/torch/csrc/dynamo/compiled_autograd.h 2024-08-20T21:38:18.2898762Z inflating: build/lib/torch/include/torch/csrc/dynamo/cpp_shim.h 2024-08-20T21:38:18.2899176Z inflating: build/lib/torch/include/torch/csrc/dynamo/cpython_defs.h 2024-08-20T21:38:18.2899853Z inflating: build/lib/torch/include/torch/csrc/dynamo/cpython_includes.h 2024-08-20T21:38:18.2900406Z inflating: build/lib/torch/include/torch/csrc/dynamo/debug_macros.h 2024-08-20T21:38:18.2900797Z extracting: build/lib/torch/include/torch/csrc/dynamo/eval_frame.h 2024-08-20T21:38:18.2901587Z inflating: build/lib/torch/include/torch/csrc/dynamo/extra_state.h 2024-08-20T21:38:18.2902319Z inflating: build/lib/torch/include/torch/csrc/dynamo/framelocals_mapping.h 2024-08-20T21:38:18.2902876Z inflating: build/lib/torch/include/torch/csrc/dynamo/guards.h 2024-08-20T21:38:18.2903362Z inflating: build/lib/torch/include/torch/csrc/dynamo/init.h 2024-08-20T21:38:18.2903999Z inflating: build/lib/torch/include/torch/csrc/dynamo/python_compiled_autograd.h 2024-08-20T21:38:18.2904319Z inflating: build/lib/torch/include/torch/csrc/dynamo/utils.h 2024-08-20T21:38:18.2904562Z creating: build/lib/torch/include/torch/csrc/inductor/ 2024-08-20T21:38:18.2905238Z inflating: build/lib/torch/include/torch/csrc/inductor/inductor_ops.h 2024-08-20T21:38:18.2905540Z creating: build/lib/torch/include/torch/csrc/inductor/aoti_runner/ 2024-08-20T21:38:18.2906466Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_runner/model_container_runner.h 2024-08-20T21:38:18.2907233Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_runner/model_container_runner_cpu.h 2024-08-20T21:38:18.2907877Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_runner/model_container_runner_cuda.h 2024-08-20T21:38:18.2908290Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_runner/pybind.h 2024-08-20T21:38:18.2908608Z creating: build/lib/torch/include/torch/csrc/inductor/aoti_runtime/ 2024-08-20T21:38:18.2909621Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_runtime/arrayref_tensor.h 2024-08-20T21:38:18.2910128Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_runtime/device_utils.h 2024-08-20T21:38:18.2911038Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_runtime/interface.h 2024-08-20T21:38:18.2912951Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_runtime/model.h 2024-08-20T21:38:18.2914709Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_runtime/model_container.h 2024-08-20T21:38:18.2915308Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_runtime/scalar_to_tensor.h 2024-08-20T21:38:18.2915954Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_runtime/thread_local.h 2024-08-20T21:38:18.2916771Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_runtime/utils.h 2024-08-20T21:38:18.2917623Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_runtime/utils_cuda.h 2024-08-20T21:38:18.2917995Z creating: build/lib/torch/include/torch/csrc/inductor/aoti_torch/ 2024-08-20T21:38:18.2918447Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_torch/mkldnn_tensor.h 2024-08-20T21:38:18.2919184Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_torch/oss_proxy_executor.h 2024-08-20T21:38:18.2919652Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_torch/proxy_executor.h 2024-08-20T21:38:18.2920170Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_torch/tensor_converter.h 2024-08-20T21:38:18.2920880Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_torch/utils.h 2024-08-20T21:38:18.2921193Z creating: build/lib/torch/include/torch/csrc/inductor/aoti_torch/c/ 2024-08-20T21:38:18.2923190Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h 2024-08-20T21:38:18.2923620Z creating: build/lib/torch/include/torch/csrc/inductor/aoti_torch/generated/ 2024-08-20T21:38:18.2925332Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_torch/generated/c_shim_cpu.h 2024-08-20T21:38:18.2928710Z inflating: build/lib/torch/include/torch/csrc/inductor/aoti_torch/generated/c_shim_cuda.h 2024-08-20T21:38:18.2928902Z creating: build/lib/torch/include/torch/csrc/jit/ 2024-08-20T21:38:18.2929595Z inflating: build/lib/torch/include/torch/csrc/jit/jit_log.h 2024-08-20T21:38:18.2930195Z inflating: build/lib/torch/include/torch/csrc/jit/jit_opt_limit.h 2024-08-20T21:38:18.2930709Z inflating: build/lib/torch/include/torch/csrc/jit/resource_guard.h 2024-08-20T21:38:18.2931096Z creating: build/lib/torch/include/torch/csrc/jit/backends/ 2024-08-20T21:38:18.2931882Z inflating: build/lib/torch/include/torch/csrc/jit/backends/backend.h 2024-08-20T21:38:18.2932986Z inflating: build/lib/torch/include/torch/csrc/jit/backends/backend_debug_handler.h 2024-08-20T21:38:18.2934261Z inflating: build/lib/torch/include/torch/csrc/jit/backends/backend_debug_info.h 2024-08-20T21:38:18.2934658Z inflating: build/lib/torch/include/torch/csrc/jit/backends/backend_detail.h 2024-08-20T21:38:18.2935321Z inflating: build/lib/torch/include/torch/csrc/jit/backends/backend_exception.h 2024-08-20T21:38:18.2935992Z inflating: build/lib/torch/include/torch/csrc/jit/backends/backend_init.h 2024-08-20T21:38:18.2936574Z inflating: build/lib/torch/include/torch/csrc/jit/backends/backend_interface.h 2024-08-20T21:38:18.2937208Z inflating: build/lib/torch/include/torch/csrc/jit/backends/backend_preprocess.h 2024-08-20T21:38:18.2937675Z inflating: build/lib/torch/include/torch/csrc/jit/backends/backend_resolver.h 2024-08-20T21:38:18.2937915Z creating: build/lib/torch/include/torch/csrc/jit/passes/ 2024-08-20T21:38:18.2938536Z inflating: build/lib/torch/include/torch/csrc/jit/passes/add_if_then_else.h 2024-08-20T21:38:18.2939023Z inflating: build/lib/torch/include/torch/csrc/jit/passes/annotate_warns.h 2024-08-20T21:38:18.2939614Z inflating: build/lib/torch/include/torch/csrc/jit/passes/autocast.h 2024-08-20T21:38:18.2940386Z inflating: build/lib/torch/include/torch/csrc/jit/passes/bailout_graph.h 2024-08-20T21:38:18.2940734Z inflating: build/lib/torch/include/torch/csrc/jit/passes/batch_mm.h 2024-08-20T21:38:18.2941199Z inflating: build/lib/torch/include/torch/csrc/jit/passes/canonicalize.h 2024-08-20T21:38:18.2941731Z inflating: build/lib/torch/include/torch/csrc/jit/passes/canonicalize_graph_fuser_ops.h 2024-08-20T21:38:18.2942356Z inflating: build/lib/torch/include/torch/csrc/jit/passes/check_strict_fusion.h 2024-08-20T21:38:18.2942808Z inflating: build/lib/torch/include/torch/csrc/jit/passes/clear_profiling.h 2024-08-20T21:38:18.2943410Z inflating: build/lib/torch/include/torch/csrc/jit/passes/clear_undefinedness.h 2024-08-20T21:38:18.2943976Z inflating: build/lib/torch/include/torch/csrc/jit/passes/common_subexpression_elimination.h 2024-08-20T21:38:18.2944339Z inflating: build/lib/torch/include/torch/csrc/jit/passes/concat_opt.h 2024-08-20T21:38:18.2944898Z inflating: build/lib/torch/include/torch/csrc/jit/passes/constant_pooling.h 2024-08-20T21:38:18.2945591Z inflating: build/lib/torch/include/torch/csrc/jit/passes/constant_propagation.h 2024-08-20T21:38:18.2946130Z inflating: build/lib/torch/include/torch/csrc/jit/passes/create_autodiff_subgraphs.h 2024-08-20T21:38:18.2946599Z inflating: build/lib/torch/include/torch/csrc/jit/passes/create_functional_graphs.h 2024-08-20T21:38:18.2947227Z inflating: build/lib/torch/include/torch/csrc/jit/passes/dead_code_elimination.h 2024-08-20T21:38:18.2947600Z inflating: build/lib/torch/include/torch/csrc/jit/passes/decompose_ops.h 2024-08-20T21:38:18.2948131Z inflating: build/lib/torch/include/torch/csrc/jit/passes/device_type_analysis.h 2024-08-20T21:38:18.2948615Z inflating: build/lib/torch/include/torch/csrc/jit/passes/dtype_analysis.h 2024-08-20T21:38:18.2949274Z inflating: build/lib/torch/include/torch/csrc/jit/passes/eliminate_no_ops.h 2024-08-20T21:38:18.2949746Z inflating: build/lib/torch/include/torch/csrc/jit/passes/erase_number_types.h 2024-08-20T21:38:18.2950405Z inflating: build/lib/torch/include/torch/csrc/jit/passes/fixup_trace_scope_blocks.h 2024-08-20T21:38:18.2950861Z inflating: build/lib/torch/include/torch/csrc/jit/passes/fold_conv_bn.h 2024-08-20T21:38:18.2951515Z inflating: build/lib/torch/include/torch/csrc/jit/passes/fold_linear_bn.h 2024-08-20T21:38:18.2952082Z inflating: build/lib/torch/include/torch/csrc/jit/passes/freeze_module.h 2024-08-20T21:38:18.2952573Z inflating: build/lib/torch/include/torch/csrc/jit/passes/frozen_concat_linear.h 2024-08-20T21:38:18.2953129Z inflating: build/lib/torch/include/torch/csrc/jit/passes/frozen_conv_add_relu_fusion.h 2024-08-20T21:38:18.2953745Z inflating: build/lib/torch/include/torch/csrc/jit/passes/frozen_conv_folding.h 2024-08-20T21:38:18.2954285Z inflating: build/lib/torch/include/torch/csrc/jit/passes/frozen_graph_optimizations.h 2024-08-20T21:38:18.2954791Z inflating: build/lib/torch/include/torch/csrc/jit/passes/frozen_linear_folding.h 2024-08-20T21:38:18.2955265Z inflating: build/lib/torch/include/torch/csrc/jit/passes/frozen_linear_transpose.h 2024-08-20T21:38:18.2955843Z inflating: build/lib/torch/include/torch/csrc/jit/passes/frozen_ops_to_mkldnn.h 2024-08-20T21:38:18.2956222Z inflating: build/lib/torch/include/torch/csrc/jit/passes/fuse_linear.h 2024-08-20T21:38:18.2956647Z inflating: build/lib/torch/include/torch/csrc/jit/passes/fuse_relu.h 2024-08-20T21:38:18.2957306Z inflating: build/lib/torch/include/torch/csrc/jit/passes/graph_fuser.h 2024-08-20T21:38:18.2958039Z inflating: build/lib/torch/include/torch/csrc/jit/passes/graph_rewrite_helper.h 2024-08-20T21:38:18.2958525Z inflating: build/lib/torch/include/torch/csrc/jit/passes/guard_elimination.h 2024-08-20T21:38:18.2959031Z inflating: build/lib/torch/include/torch/csrc/jit/passes/hoist_conv_packed_params.h 2024-08-20T21:38:18.2959563Z inflating: build/lib/torch/include/torch/csrc/jit/passes/inline_autodiff_subgraphs.h 2024-08-20T21:38:18.2959981Z inflating: build/lib/torch/include/torch/csrc/jit/passes/inline_fork_wait.h 2024-08-20T21:38:18.2960499Z inflating: build/lib/torch/include/torch/csrc/jit/passes/inline_forked_closures.h 2024-08-20T21:38:18.2960959Z inflating: build/lib/torch/include/torch/csrc/jit/passes/inliner.h 2024-08-20T21:38:18.2961395Z inflating: build/lib/torch/include/torch/csrc/jit/passes/inplace_check.h 2024-08-20T21:38:18.2961812Z inflating: build/lib/torch/include/torch/csrc/jit/passes/insert_guards.h 2024-08-20T21:38:18.2962364Z inflating: build/lib/torch/include/torch/csrc/jit/passes/integer_value_refinement.h 2024-08-20T21:38:18.2963251Z inflating: build/lib/torch/include/torch/csrc/jit/passes/lift_closures.h 2024-08-20T21:38:18.2963693Z inflating: build/lib/torch/include/torch/csrc/jit/passes/liveness.h 2024-08-20T21:38:18.2964312Z inflating: build/lib/torch/include/torch/csrc/jit/passes/loop_unrolling.h 2024-08-20T21:38:18.2964779Z inflating: build/lib/torch/include/torch/csrc/jit/passes/lower_grad_of.h 2024-08-20T21:38:18.2965323Z inflating: build/lib/torch/include/torch/csrc/jit/passes/lower_graph.h 2024-08-20T21:38:18.2965856Z inflating: build/lib/torch/include/torch/csrc/jit/passes/lower_tuples.h 2024-08-20T21:38:18.2966379Z inflating: build/lib/torch/include/torch/csrc/jit/passes/metal_rewrite.h 2024-08-20T21:38:18.2966919Z inflating: build/lib/torch/include/torch/csrc/jit/passes/mkldnn_rewrite.h 2024-08-20T21:38:18.2967454Z inflating: build/lib/torch/include/torch/csrc/jit/passes/mobile_optimizer_type.h 2024-08-20T21:38:18.2967924Z inflating: build/lib/torch/include/torch/csrc/jit/passes/normalize_ops.h 2024-08-20T21:38:18.2968601Z inflating: build/lib/torch/include/torch/csrc/jit/passes/onednn_graph_fuser.h 2024-08-20T21:38:18.2969056Z inflating: build/lib/torch/include/torch/csrc/jit/passes/onnx.h 2024-08-20T21:38:18.2969982Z inflating: build/lib/torch/include/torch/csrc/jit/passes/pass_manager.h 2024-08-20T21:38:18.2970546Z inflating: build/lib/torch/include/torch/csrc/jit/passes/peephole.h 2024-08-20T21:38:18.2971092Z inflating: build/lib/torch/include/torch/csrc/jit/passes/peephole_alias_sensitive.h 2024-08-20T21:38:18.2971694Z inflating: build/lib/torch/include/torch/csrc/jit/passes/peephole_dict_idioms.h 2024-08-20T21:38:18.2972241Z inflating: build/lib/torch/include/torch/csrc/jit/passes/peephole_list_idioms.h 2024-08-20T21:38:18.2972735Z inflating: build/lib/torch/include/torch/csrc/jit/passes/peephole_non_tensor.h 2024-08-20T21:38:18.2973464Z inflating: build/lib/torch/include/torch/csrc/jit/passes/prepack_folding.h 2024-08-20T21:38:18.2973941Z inflating: build/lib/torch/include/torch/csrc/jit/passes/refine_tuple_types.h 2024-08-20T21:38:18.2974389Z inflating: build/lib/torch/include/torch/csrc/jit/passes/remove_dropout.h 2024-08-20T21:38:18.2974907Z inflating: build/lib/torch/include/torch/csrc/jit/passes/remove_exceptions.h 2024-08-20T21:38:18.2975353Z inflating: build/lib/torch/include/torch/csrc/jit/passes/remove_expands.h 2024-08-20T21:38:18.2975903Z inflating: build/lib/torch/include/torch/csrc/jit/passes/remove_inplace_ops.h 2024-08-20T21:38:18.2976564Z inflating: build/lib/torch/include/torch/csrc/jit/passes/remove_mutation.h 2024-08-20T21:38:18.2977114Z inflating: build/lib/torch/include/torch/csrc/jit/passes/remove_redundant_profiles.h 2024-08-20T21:38:18.2977653Z inflating: build/lib/torch/include/torch/csrc/jit/passes/replacement_of_old_operators.h 2024-08-20T21:38:18.2978099Z inflating: build/lib/torch/include/torch/csrc/jit/passes/requires_grad_analysis.h 2024-08-20T21:38:18.2978718Z inflating: build/lib/torch/include/torch/csrc/jit/passes/restore_mutation.h 2024-08-20T21:38:18.2979374Z inflating: build/lib/torch/include/torch/csrc/jit/passes/shape_analysis.h 2024-08-20T21:38:18.2980178Z inflating: build/lib/torch/include/torch/csrc/jit/passes/specialize_autogradzero.h 2024-08-20T21:38:18.2980891Z inflating: build/lib/torch/include/torch/csrc/jit/passes/subgraph_rewrite.h 2024-08-20T21:38:18.2981535Z inflating: build/lib/torch/include/torch/csrc/jit/passes/symbolic_shape_analysis.h 2024-08-20T21:38:18.2982176Z inflating: build/lib/torch/include/torch/csrc/jit/passes/symbolic_shape_cache.h 2024-08-20T21:38:18.2982930Z inflating: build/lib/torch/include/torch/csrc/jit/passes/symbolic_shape_runtime_fusion.h 2024-08-20T21:38:18.2983572Z inflating: build/lib/torch/include/torch/csrc/jit/passes/tensorexpr_fuser.h 2024-08-20T21:38:18.2984266Z inflating: build/lib/torch/include/torch/csrc/jit/passes/update_differentiable_graph_requires_grad.h 2024-08-20T21:38:18.2984812Z inflating: build/lib/torch/include/torch/csrc/jit/passes/value_refinement_utils.h 2024-08-20T21:38:18.2985262Z inflating: build/lib/torch/include/torch/csrc/jit/passes/variadic_ops.h 2024-08-20T21:38:18.2985800Z inflating: build/lib/torch/include/torch/csrc/jit/passes/vulkan_rewrite.h 2024-08-20T21:38:18.2986344Z inflating: build/lib/torch/include/torch/csrc/jit/passes/xnnpack_rewrite.h 2024-08-20T21:38:18.2986661Z creating: build/lib/torch/include/torch/csrc/jit/passes/quantization/ 2024-08-20T21:38:18.2987377Z inflating: build/lib/torch/include/torch/csrc/jit/passes/quantization/dedup_module_uses.h 2024-08-20T21:38:18.2988018Z inflating: build/lib/torch/include/torch/csrc/jit/passes/quantization/finalize.h 2024-08-20T21:38:18.2988520Z inflating: build/lib/torch/include/torch/csrc/jit/passes/quantization/fusion_passes.h 2024-08-20T21:38:18.2989802Z inflating: build/lib/torch/include/torch/csrc/jit/passes/quantization/helper.h 2024-08-20T21:38:18.2990503Z inflating: build/lib/torch/include/torch/csrc/jit/passes/quantization/insert_observers.h 2024-08-20T21:38:18.2991127Z inflating: build/lib/torch/include/torch/csrc/jit/passes/quantization/insert_quant_dequant.h 2024-08-20T21:38:18.2994418Z inflating: build/lib/torch/include/torch/csrc/jit/passes/quantization/quantization_patterns.h 2024-08-20T21:38:18.2995019Z inflating: build/lib/torch/include/torch/csrc/jit/passes/quantization/quantization_type.h 2024-08-20T21:38:18.2995587Z inflating: build/lib/torch/include/torch/csrc/jit/passes/quantization/register_packed_params.h 2024-08-20T21:38:18.2995948Z creating: build/lib/torch/include/torch/csrc/jit/passes/utils/ 2024-08-20T21:38:18.2996676Z inflating: build/lib/torch/include/torch/csrc/jit/passes/utils/check_alias_annotation.h 2024-08-20T21:38:18.2997301Z inflating: build/lib/torch/include/torch/csrc/jit/passes/utils/memory_dag.h 2024-08-20T21:38:18.2997862Z inflating: build/lib/torch/include/torch/csrc/jit/passes/utils/op_registry.h 2024-08-20T21:38:18.2998502Z inflating: build/lib/torch/include/torch/csrc/jit/passes/utils/optimization_utils.h 2024-08-20T21:38:18.2999194Z inflating: build/lib/torch/include/torch/csrc/jit/passes/utils/subgraph_utils.h 2024-08-20T21:38:18.2999461Z creating: build/lib/torch/include/torch/csrc/jit/runtime/ 2024-08-20T21:38:18.3001260Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/argument_spec.h 2024-08-20T21:38:18.3002012Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/autodiff.h 2024-08-20T21:38:18.3002814Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/calculate_necessary_args.h 2024-08-20T21:38:18.3003268Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/custom_operator.h 2024-08-20T21:38:18.3003785Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/decomposition_registry.h 2024-08-20T21:38:18.3004328Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/decomposition_registry_util.h 2024-08-20T21:38:18.3004992Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/exception_message.h 2024-08-20T21:38:18.3005923Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/graph_executor.h 2024-08-20T21:38:18.3006748Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/graph_executor_impl.h 2024-08-20T21:38:18.3008076Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/graph_iterator.h 2024-08-20T21:38:18.3008894Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/instruction.h 2024-08-20T21:38:18.3009767Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/interpreter.h 2024-08-20T21:38:18.3010349Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/jit_exception.h 2024-08-20T21:38:18.3010786Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/jit_trace.h 2024-08-20T21:38:18.3011493Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/logging.h 2024-08-20T21:38:18.3012915Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/operator.h 2024-08-20T21:38:18.3013364Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/operator_options.h 2024-08-20T21:38:18.3013895Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/print_handler.h 2024-08-20T21:38:18.3014686Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/profiling_graph_executor_impl.h 2024-08-20T21:38:18.3015822Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/profiling_record.h 2024-08-20T21:38:18.3018512Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/register_ops_utils.h 2024-08-20T21:38:18.3019068Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/script_profile.h 2024-08-20T21:38:18.3019820Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/serialized_shape_function_registry.h 2024-08-20T21:38:18.3020375Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/shape_function_registry.h 2024-08-20T21:38:18.3021116Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/simple_graph_executor_impl.h 2024-08-20T21:38:18.3021595Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/slice_indices_adjust.h 2024-08-20T21:38:18.3022117Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/symbolic_script.h 2024-08-20T21:38:18.3022884Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/symbolic_shape_registry.h 2024-08-20T21:38:18.3023454Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/symbolic_shape_registry_util.h 2024-08-20T21:38:18.3023892Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/vararg_functions.h 2024-08-20T21:38:18.3024361Z inflating: build/lib/torch/include/torch/csrc/jit/runtime/variable_tensor_list.h 2024-08-20T21:38:18.3024585Z creating: build/lib/torch/include/torch/csrc/jit/ir/ 2024-08-20T21:38:18.3026433Z inflating: build/lib/torch/include/torch/csrc/jit/ir/alias_analysis.h 2024-08-20T21:38:18.3027109Z inflating: build/lib/torch/include/torch/csrc/jit/ir/attributes.h 2024-08-20T21:38:18.3027740Z inflating: build/lib/torch/include/torch/csrc/jit/ir/constants.h 2024-08-20T21:38:18.3028696Z inflating: build/lib/torch/include/torch/csrc/jit/ir/graph_node_list.h 2024-08-20T21:38:18.3029155Z inflating: build/lib/torch/include/torch/csrc/jit/ir/graph_utils.h 2024-08-20T21:38:18.3033361Z inflating: build/lib/torch/include/torch/csrc/jit/ir/ir.h 2024-08-20T21:38:18.3034113Z inflating: build/lib/torch/include/torch/csrc/jit/ir/ir_views.h 2024-08-20T21:38:18.3034661Z inflating: build/lib/torch/include/torch/csrc/jit/ir/irparser.h 2024-08-20T21:38:18.3035353Z inflating: build/lib/torch/include/torch/csrc/jit/ir/named_value.h 2024-08-20T21:38:18.3036020Z inflating: build/lib/torch/include/torch/csrc/jit/ir/node_hashing.h 2024-08-20T21:38:18.3037120Z inflating: build/lib/torch/include/torch/csrc/jit/ir/scope.h 2024-08-20T21:38:18.3037888Z inflating: build/lib/torch/include/torch/csrc/jit/ir/subgraph_matcher.h 2024-08-20T21:38:18.3038343Z inflating: build/lib/torch/include/torch/csrc/jit/ir/type_hashing.h 2024-08-20T21:38:18.3038730Z creating: build/lib/torch/include/torch/csrc/jit/frontend/ 2024-08-20T21:38:18.3040319Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/source_range.h 2024-08-20T21:38:18.3042204Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/lexer.h 2024-08-20T21:38:18.3042540Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/strtod.h 2024-08-20T21:38:18.3043540Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/parser_constants.h 2024-08-20T21:38:18.3044060Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/function_schema_parser.h 2024-08-20T21:38:18.3044793Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/parse_string_literal.h 2024-08-20T21:38:18.3045286Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/schema_type_parser.h 2024-08-20T21:38:18.3046026Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/error_report.h 2024-08-20T21:38:18.3046969Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/tree.h 2024-08-20T21:38:18.3047552Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/builtin_functions.h 2024-08-20T21:38:18.3048271Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/canonicalize_modified_loop.h 2024-08-20T21:38:18.3049573Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/concrete_module_type.h 2024-08-20T21:38:18.3050025Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/convert_to_ssa.h 2024-08-20T21:38:18.3050469Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/edit_distance.h 2024-08-20T21:38:18.3050914Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/exit_transforms.h 2024-08-20T21:38:18.3051562Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/inline_loop_condition.h 2024-08-20T21:38:18.3051913Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/ir_emitter.h 2024-08-20T21:38:18.3052518Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/mini_environment.h 2024-08-20T21:38:18.3052968Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/name_mangler.h 2024-08-20T21:38:18.3053640Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/parser.h 2024-08-20T21:38:18.3054214Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/resolver.h 2024-08-20T21:38:18.3054879Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/schema_matching.h 2024-08-20T21:38:18.3055548Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/script_type_parser.h 2024-08-20T21:38:18.3056026Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/source_ref.h 2024-08-20T21:38:18.3058359Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/sugared_value.h 2024-08-20T21:38:18.3059688Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/tracer.h 2024-08-20T21:38:18.3062577Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/tree_views.h 2024-08-20T21:38:18.3063185Z inflating: build/lib/torch/include/torch/csrc/jit/frontend/versioned_symbols.h 2024-08-20T21:38:18.3063526Z creating: build/lib/torch/include/torch/csrc/jit/api/ 2024-08-20T21:38:18.3064845Z inflating: build/lib/torch/include/torch/csrc/jit/api/compilation_unit.h 2024-08-20T21:38:18.3065672Z inflating: build/lib/torch/include/torch/csrc/jit/api/function_impl.h 2024-08-20T21:38:18.3066306Z inflating: build/lib/torch/include/torch/csrc/jit/api/method.h 2024-08-20T21:38:18.3068492Z inflating: build/lib/torch/include/torch/csrc/jit/api/module.h 2024-08-20T21:38:18.3069381Z inflating: build/lib/torch/include/torch/csrc/jit/api/object.h 2024-08-20T21:38:18.3069764Z creating: build/lib/torch/include/torch/csrc/jit/serialization/ 2024-08-20T21:38:18.3070694Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/callstack_debug_info_serialization.h 2024-08-20T21:38:18.3071245Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/source_range_serialization.h 2024-08-20T21:38:18.3072471Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/export.h 2024-08-20T21:38:18.3073009Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/export_bytecode.h 2024-08-20T21:38:18.3073701Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/flatbuffer_serializer.h 2024-08-20T21:38:18.3074465Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/flatbuffer_serializer_jit.h 2024-08-20T21:38:18.3075083Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/import.h 2024-08-20T21:38:18.3075801Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/import_export_constants.h 2024-08-20T21:38:18.3076281Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/import_export_functions.h 2024-08-20T21:38:18.3076807Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/import_export_helpers.h 2024-08-20T21:38:18.3077322Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/import_read.h 2024-08-20T21:38:18.3078066Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/import_source.h 2024-08-20T21:38:18.3083514Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/mobile_bytecode_generated.h 2024-08-20T21:38:18.3083878Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/onnx.h 2024-08-20T21:38:18.3084634Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/pickle.h 2024-08-20T21:38:18.3086354Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/pickler.h 2024-08-20T21:38:18.3086874Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/python_print.h 2024-08-20T21:38:18.3087577Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/source_range_serialization_impl.h 2024-08-20T21:38:18.3088142Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/storage_context.h 2024-08-20T21:38:18.3088702Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/type_name_uniquer.h 2024-08-20T21:38:18.3089912Z inflating: build/lib/torch/include/torch/csrc/jit/serialization/unpickler.h 2024-08-20T21:38:18.3090270Z creating: build/lib/torch/include/torch/csrc/jit/python/ 2024-08-20T21:38:18.3090580Z inflating: build/lib/torch/include/torch/csrc/jit/python/init.h 2024-08-20T21:38:18.3091015Z inflating: build/lib/torch/include/torch/csrc/jit/python/module_python.h 2024-08-20T21:38:18.3092501Z inflating: build/lib/torch/include/torch/csrc/jit/python/pybind.h 2024-08-20T21:38:18.3095912Z inflating: build/lib/torch/include/torch/csrc/jit/python/pybind_utils.h 2024-08-20T21:38:18.3096650Z inflating: build/lib/torch/include/torch/csrc/jit/python/python_arg_flatten.h 2024-08-20T21:38:18.3097122Z inflating: build/lib/torch/include/torch/csrc/jit/python/python_custom_class.h 2024-08-20T21:38:18.3097932Z inflating: build/lib/torch/include/torch/csrc/jit/python/python_dict.h 2024-08-20T21:38:18.3098592Z inflating: build/lib/torch/include/torch/csrc/jit/python/python_ir.h 2024-08-20T21:38:18.3099501Z inflating: build/lib/torch/include/torch/csrc/jit/python/python_ivalue.h 2024-08-20T21:38:18.3100617Z inflating: build/lib/torch/include/torch/csrc/jit/python/python_list.h 2024-08-20T21:38:18.3101932Z inflating: build/lib/torch/include/torch/csrc/jit/python/python_sugared_value.h 2024-08-20T21:38:18.3102319Z inflating: build/lib/torch/include/torch/csrc/jit/python/python_tracer.h 2024-08-20T21:38:18.3102846Z inflating: build/lib/torch/include/torch/csrc/jit/python/python_tree_views.h 2024-08-20T21:38:18.3103278Z inflating: build/lib/torch/include/torch/csrc/jit/python/script_init.h 2024-08-20T21:38:18.3103885Z inflating: build/lib/torch/include/torch/csrc/jit/python/update_graph_executor_opt.h 2024-08-20T21:38:18.3104325Z inflating: build/lib/torch/include/torch/csrc/jit/python/utf8_decoding_ignore.h 2024-08-20T21:38:18.3104716Z creating: build/lib/torch/include/torch/csrc/jit/mobile/ 2024-08-20T21:38:18.3105515Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/code.h 2024-08-20T21:38:18.3106179Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/debug_info.h 2024-08-20T21:38:18.3107169Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/file_format.h 2024-08-20T21:38:18.3108083Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/flatbuffer_loader.h 2024-08-20T21:38:18.3108515Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/frame.h 2024-08-20T21:38:18.3109150Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/function.h 2024-08-20T21:38:18.3109867Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/import.h 2024-08-20T21:38:18.3110430Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/import_data.h 2024-08-20T21:38:18.3111031Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/import_export_common.h 2024-08-20T21:38:18.3111666Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/interpreter.h 2024-08-20T21:38:18.3112178Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/method.h 2024-08-20T21:38:18.3113213Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/module.h 2024-08-20T21:38:18.3113851Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/observer.h 2024-08-20T21:38:18.3114415Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/parse_bytecode.h 2024-08-20T21:38:18.3114958Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/parse_operators.h 2024-08-20T21:38:18.3115547Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/prim_ops_registery.h 2024-08-20T21:38:18.3116346Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/profiler_edge.h 2024-08-20T21:38:18.3116899Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/promoted_prim_ops.h 2024-08-20T21:38:18.3117445Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/quantization.h 2024-08-20T21:38:18.3118172Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/register_ops_common_utils.h 2024-08-20T21:38:18.3118841Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/type_parser.h 2024-08-20T21:38:18.3119512Z inflating: build/lib/torch/include/torch/csrc/jit/mobile/upgrader_mobile.h 2024-08-20T21:38:18.3119788Z creating: build/lib/torch/include/torch/csrc/jit/testing/ 2024-08-20T21:38:18.3120343Z inflating: build/lib/torch/include/torch/csrc/jit/testing/file_check.h 2024-08-20T21:38:18.3120901Z inflating: build/lib/torch/include/torch/csrc/jit/testing/hooks_for_testing.h 2024-08-20T21:38:18.3121165Z creating: build/lib/torch/include/torch/csrc/jit/tensorexpr/ 2024-08-20T21:38:18.3122259Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/analysis.h 2024-08-20T21:38:18.3123028Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/block_codegen.h 2024-08-20T21:38:18.3123623Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/bounds_inference.h 2024-08-20T21:38:18.3124471Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/bounds_overlap.h 2024-08-20T21:38:18.3125461Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/codegen.h 2024-08-20T21:38:18.3126315Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/cpp_codegen.h 2024-08-20T21:38:18.3126998Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/cpp_intrinsics.h 2024-08-20T21:38:18.3128114Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/cuda_codegen.h 2024-08-20T21:38:18.3128841Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/cuda_random.h 2024-08-20T21:38:18.3130005Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/eval.h 2024-08-20T21:38:18.3130626Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/exceptions.h 2024-08-20T21:38:18.3132427Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/expr.h 2024-08-20T21:38:18.3133116Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/external_functions.h 2024-08-20T21:38:18.3133838Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/external_functions_core.h 2024-08-20T21:38:18.3134559Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/external_functions_registry.h 2024-08-20T21:38:18.3135128Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/fwd_decls.h 2024-08-20T21:38:18.3135986Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/graph_opt.h 2024-08-20T21:38:18.3136860Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/half_support.h 2024-08-20T21:38:18.3137878Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/hash_provider.h 2024-08-20T21:38:18.3138441Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/intrinsic_symbols.h 2024-08-20T21:38:18.3140254Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/ir.h 2024-08-20T21:38:18.3140990Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/ir_cloner.h 2024-08-20T21:38:18.3141553Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/ir_mutator.h 2024-08-20T21:38:18.3142293Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/ir_printer.h 2024-08-20T21:38:18.3143961Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/ir_simplifier.h 2024-08-20T21:38:18.3144493Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/ir_verifier.h 2024-08-20T21:38:18.3144900Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/ir_visitor.h 2024-08-20T21:38:18.3146415Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/kernel.h 2024-08-20T21:38:18.3147123Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/llvm_codegen.h 2024-08-20T21:38:18.3147709Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/llvm_jit.h 2024-08-20T21:38:18.3149917Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/loopnest.h 2024-08-20T21:38:18.3150416Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/loopnest_randomization.h 2024-08-20T21:38:18.3151004Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/lowerings.h 2024-08-20T21:38:18.3152742Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/mem_dependency_checker.h 2024-08-20T21:38:18.3153591Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/reduction.h 2024-08-20T21:38:18.3155175Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/registerizer.h 2024-08-20T21:38:18.3157126Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/stmt.h 2024-08-20T21:38:18.3158223Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/tensor.h 2024-08-20T21:38:18.3158825Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/tensorexpr_init.h 2024-08-20T21:38:18.3159489Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/types.h 2024-08-20T21:38:18.3160099Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/unique_name_manager.h 2024-08-20T21:38:18.3160755Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/var_substitutor.h 2024-08-20T21:38:18.3161305Z creating: build/lib/torch/include/torch/csrc/jit/tensorexpr/operators/ 2024-08-20T21:38:18.3162081Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/operators/conv2d.h 2024-08-20T21:38:18.3162521Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/operators/matmul.h 2024-08-20T21:38:18.3163189Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/operators/misc.h 2024-08-20T21:38:18.3163677Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/operators/norm.h 2024-08-20T21:38:18.3164177Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/operators/operators.h 2024-08-20T21:38:18.3164861Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/operators/pointwise.h 2024-08-20T21:38:18.3165606Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/operators/quantization.h 2024-08-20T21:38:18.3166211Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/operators/reduction.h 2024-08-20T21:38:18.3166711Z inflating: build/lib/torch/include/torch/csrc/jit/tensorexpr/operators/softmax.h 2024-08-20T21:38:18.3166998Z creating: build/lib/torch/include/torch/csrc/jit/codegen/ 2024-08-20T21:38:18.3167263Z creating: build/lib/torch/include/torch/csrc/jit/codegen/cuda/ 2024-08-20T21:38:18.3168187Z inflating: build/lib/torch/include/torch/csrc/jit/codegen/cuda/interface.h 2024-08-20T21:38:18.3168418Z creating: build/lib/torch/include/torch/csrc/onnx/ 2024-08-20T21:38:18.3169017Z inflating: build/lib/torch/include/torch/csrc/onnx/back_compat.h 2024-08-20T21:38:18.3169376Z inflating: build/lib/torch/include/torch/csrc/onnx/init.h 2024-08-20T21:38:18.3169811Z inflating: build/lib/torch/include/torch/csrc/onnx/onnx.h 2024-08-20T21:38:18.3170067Z creating: build/lib/torch/include/torch/csrc/profiler/ 2024-08-20T21:38:18.3170639Z inflating: build/lib/torch/include/torch/csrc/profiler/api.h 2024-08-20T21:38:18.3172671Z inflating: build/lib/torch/include/torch/csrc/profiler/collection.h 2024-08-20T21:38:18.3173268Z inflating: build/lib/torch/include/torch/csrc/profiler/combined_traceback.h 2024-08-20T21:38:18.3174284Z inflating: build/lib/torch/include/torch/csrc/profiler/containers.h 2024-08-20T21:38:18.3174939Z inflating: build/lib/torch/include/torch/csrc/profiler/data_flow.h 2024-08-20T21:38:18.3175415Z inflating: build/lib/torch/include/torch/csrc/profiler/events.h 2024-08-20T21:38:18.3176249Z inflating: build/lib/torch/include/torch/csrc/profiler/kineto_shim.h 2024-08-20T21:38:18.3177481Z inflating: build/lib/torch/include/torch/csrc/profiler/perf-inl.h 2024-08-20T21:38:18.3177896Z inflating: build/lib/torch/include/torch/csrc/profiler/perf.h 2024-08-20T21:38:18.3178750Z inflating: build/lib/torch/include/torch/csrc/profiler/util.h 2024-08-20T21:38:18.3179337Z creating: build/lib/torch/include/torch/csrc/profiler/orchestration/ 2024-08-20T21:38:18.3180587Z inflating: build/lib/torch/include/torch/csrc/profiler/orchestration/observer.h 2024-08-20T21:38:18.3181230Z inflating: build/lib/torch/include/torch/csrc/profiler/orchestration/python_tracer.h 2024-08-20T21:38:18.3181901Z inflating: build/lib/torch/include/torch/csrc/profiler/orchestration/vulkan.h 2024-08-20T21:38:18.3182191Z creating: build/lib/torch/include/torch/csrc/profiler/standalone/ 2024-08-20T21:38:18.3183046Z inflating: build/lib/torch/include/torch/csrc/profiler/standalone/execution_trace_observer.h 2024-08-20T21:38:18.3183447Z inflating: build/lib/torch/include/torch/csrc/profiler/standalone/itt_observer.h 2024-08-20T21:38:18.3184051Z inflating: build/lib/torch/include/torch/csrc/profiler/standalone/nvtx_observer.h 2024-08-20T21:38:18.3184675Z inflating: build/lib/torch/include/torch/csrc/profiler/standalone/privateuse1_observer.h 2024-08-20T21:38:18.3184983Z creating: build/lib/torch/include/torch/csrc/profiler/stubs/ 2024-08-20T21:38:18.3185585Z inflating: build/lib/torch/include/torch/csrc/profiler/stubs/base.h 2024-08-20T21:38:18.3185977Z creating: build/lib/torch/include/torch/csrc/profiler/unwind/ 2024-08-20T21:38:18.3186623Z inflating: build/lib/torch/include/torch/csrc/profiler/unwind/action.h 2024-08-20T21:38:18.3187278Z inflating: build/lib/torch/include/torch/csrc/profiler/unwind/communicate.h 2024-08-20T21:38:18.3188486Z inflating: build/lib/torch/include/torch/csrc/profiler/unwind/debug_info.h 2024-08-20T21:38:18.3188893Z inflating: build/lib/torch/include/torch/csrc/profiler/unwind/dwarf_enums.h 2024-08-20T21:38:18.3189810Z inflating: build/lib/torch/include/torch/csrc/profiler/unwind/dwarf_symbolize_enums.h 2024-08-20T21:38:18.3190430Z inflating: build/lib/torch/include/torch/csrc/profiler/unwind/eh_frame_hdr.h 2024-08-20T21:38:18.3191142Z inflating: build/lib/torch/include/torch/csrc/profiler/unwind/fast_symbolizer.h 2024-08-20T21:38:18.3192460Z inflating: build/lib/torch/include/torch/csrc/profiler/unwind/fde.h 2024-08-20T21:38:18.3193106Z inflating: build/lib/torch/include/torch/csrc/profiler/unwind/lexer.h 2024-08-20T21:38:18.3194770Z inflating: build/lib/torch/include/torch/csrc/profiler/unwind/line_number_program.h 2024-08-20T21:38:18.3195493Z inflating: build/lib/torch/include/torch/csrc/profiler/unwind/mem_file.h 2024-08-20T21:38:18.3196156Z inflating: build/lib/torch/include/torch/csrc/profiler/unwind/range_table.h 2024-08-20T21:38:18.3196945Z inflating: build/lib/torch/include/torch/csrc/profiler/unwind/sections.h 2024-08-20T21:38:18.3197522Z inflating: build/lib/torch/include/torch/csrc/profiler/unwind/unwind.h 2024-08-20T21:38:18.3197994Z inflating: build/lib/torch/include/torch/csrc/profiler/unwind/unwind_error.h 2024-08-20T21:38:18.3198656Z inflating: build/lib/torch/include/torch/csrc/profiler/unwind/unwinder.h 2024-08-20T21:38:18.3198934Z creating: build/lib/torch/include/torch/csrc/profiler/python/ 2024-08-20T21:38:18.3199704Z inflating: build/lib/torch/include/torch/csrc/profiler/python/combined_traceback.h 2024-08-20T21:38:18.3200123Z inflating: build/lib/torch/include/torch/csrc/profiler/python/init.h 2024-08-20T21:38:18.3200700Z inflating: build/lib/torch/include/torch/csrc/profiler/python/pybind.h 2024-08-20T21:38:18.3200948Z creating: build/lib/torch/include/torch/csrc/utils/ 2024-08-20T21:38:18.3201963Z inflating: build/lib/torch/include/torch/csrc/utils/byte_order.h 2024-08-20T21:38:18.3202469Z inflating: build/lib/torch/include/torch/csrc/utils/cpp_stacktraces.h 2024-08-20T21:38:18.3202993Z inflating: build/lib/torch/include/torch/csrc/utils/cuda_enabled.h 2024-08-20T21:38:18.3203555Z inflating: build/lib/torch/include/torch/csrc/utils/device_lazy_init.h 2024-08-20T21:38:18.3204151Z inflating: build/lib/torch/include/torch/csrc/utils/disable_torch_function.h 2024-08-20T21:38:18.3204481Z inflating: build/lib/torch/include/torch/csrc/utils/init.h 2024-08-20T21:38:18.3205086Z inflating: build/lib/torch/include/torch/csrc/utils/invalid_arguments.h 2024-08-20T21:38:18.3205421Z inflating: build/lib/torch/include/torch/csrc/utils/nested.h 2024-08-20T21:38:18.3206216Z inflating: build/lib/torch/include/torch/csrc/utils/numpy_stub.h 2024-08-20T21:38:18.3206725Z inflating: build/lib/torch/include/torch/csrc/utils/object_ptr.h 2024-08-20T21:38:18.3207203Z inflating: build/lib/torch/include/torch/csrc/utils/out_types.h 2024-08-20T21:38:18.3208661Z inflating: build/lib/torch/include/torch/csrc/utils/pybind.h 2024-08-20T21:38:18.3209127Z inflating: build/lib/torch/include/torch/csrc/utils/pycfunction_helpers.h 2024-08-20T21:38:18.3209629Z inflating: build/lib/torch/include/torch/csrc/utils/pyobject_preservation.h 2024-08-20T21:38:18.3212756Z inflating: build/lib/torch/include/torch/csrc/utils/python_arg_parser.h 2024-08-20T21:38:18.3213278Z inflating: build/lib/torch/include/torch/csrc/utils/python_compat.h 2024-08-20T21:38:18.3213723Z inflating: build/lib/torch/include/torch/csrc/utils/python_dispatch.h 2024-08-20T21:38:18.3214633Z inflating: build/lib/torch/include/torch/csrc/utils/python_numbers.h 2024-08-20T21:38:18.3215245Z inflating: build/lib/torch/include/torch/csrc/utils/python_raii.h 2024-08-20T21:38:18.3216086Z inflating: build/lib/torch/include/torch/csrc/utils/python_scalars.h 2024-08-20T21:38:18.3216924Z inflating: build/lib/torch/include/torch/csrc/utils/python_strings.h 2024-08-20T21:38:18.3217301Z inflating: build/lib/torch/include/torch/csrc/utils/python_stub.h 2024-08-20T21:38:18.3218403Z inflating: build/lib/torch/include/torch/csrc/utils/python_symnode.h 2024-08-20T21:38:18.3218850Z inflating: build/lib/torch/include/torch/csrc/utils/python_torch_function_mode.h 2024-08-20T21:38:18.3219299Z inflating: build/lib/torch/include/torch/csrc/utils/python_tuples.h 2024-08-20T21:38:18.3221344Z inflating: build/lib/torch/include/torch/csrc/utils/pythoncapi_compat.h 2024-08-20T21:38:18.3221862Z inflating: build/lib/torch/include/torch/csrc/utils/schema_info.h 2024-08-20T21:38:18.3222374Z inflating: build/lib/torch/include/torch/csrc/utils/six.h 2024-08-20T21:38:18.3222878Z inflating: build/lib/torch/include/torch/csrc/utils/structseq.h 2024-08-20T21:38:18.3223397Z inflating: build/lib/torch/include/torch/csrc/utils/tensor_apply.h 2024-08-20T21:38:18.3223872Z inflating: build/lib/torch/include/torch/csrc/utils/tensor_dtypes.h 2024-08-20T21:38:18.3224674Z inflating: build/lib/torch/include/torch/csrc/utils/tensor_flatten.h 2024-08-20T21:38:18.3225098Z extracting: build/lib/torch/include/torch/csrc/utils/tensor_layouts.h 2024-08-20T21:38:18.3225523Z inflating: build/lib/torch/include/torch/csrc/utils/tensor_list.h 2024-08-20T21:38:18.3226219Z inflating: build/lib/torch/include/torch/csrc/utils/tensor_memoryformats.h 2024-08-20T21:38:18.3228115Z inflating: build/lib/torch/include/torch/csrc/utils/tensor_new.h 2024-08-20T21:38:18.3228588Z inflating: build/lib/torch/include/torch/csrc/utils/tensor_numpy.h 2024-08-20T21:38:18.3228993Z inflating: build/lib/torch/include/torch/csrc/utils/tensor_qschemes.h 2024-08-20T21:38:18.3229473Z inflating: build/lib/torch/include/torch/csrc/utils/tensor_types.h 2024-08-20T21:38:18.3230748Z inflating: build/lib/torch/include/torch/csrc/utils/throughput_benchmark-inl.h 2024-08-20T21:38:18.3231660Z inflating: build/lib/torch/include/torch/csrc/utils/throughput_benchmark.h 2024-08-20T21:38:18.3232258Z inflating: build/lib/torch/include/torch/csrc/utils/torch_dispatch_mode.h 2024-08-20T21:38:18.3232869Z inflating: build/lib/torch/include/torch/csrc/utils/variadic.h 2024-08-20T21:38:18.3233293Z inflating: build/lib/torch/include/torch/csrc/utils/verbose.h 2024-08-20T21:38:18.3233625Z creating: build/lib/torch/include/torch/csrc/tensor/ 2024-08-20T21:38:18.3234323Z inflating: build/lib/torch/include/torch/csrc/tensor/python_tensor.h 2024-08-20T21:38:18.3234575Z creating: build/lib/torch/include/torch/csrc/lazy/ 2024-08-20T21:38:18.3234853Z creating: build/lib/torch/include/torch/csrc/lazy/backend/ 2024-08-20T21:38:18.3235521Z inflating: build/lib/torch/include/torch/csrc/lazy/backend/backend_data.h 2024-08-20T21:38:18.3236314Z inflating: build/lib/torch/include/torch/csrc/lazy/backend/backend_device.h 2024-08-20T21:38:18.3237087Z inflating: build/lib/torch/include/torch/csrc/lazy/backend/backend_interface.h 2024-08-20T21:38:18.3237806Z inflating: build/lib/torch/include/torch/csrc/lazy/backend/lowering_context.h 2024-08-20T21:38:18.3238060Z creating: build/lib/torch/include/torch/csrc/lazy/core/ 2024-08-20T21:38:18.3238754Z inflating: build/lib/torch/include/torch/csrc/lazy/core/cache.h 2024-08-20T21:38:18.3239305Z inflating: build/lib/torch/include/torch/csrc/lazy/core/config.h 2024-08-20T21:38:18.3239922Z inflating: build/lib/torch/include/torch/csrc/lazy/core/debug_util.h 2024-08-20T21:38:18.3240534Z inflating: build/lib/torch/include/torch/csrc/lazy/core/dynamic_ir.h 2024-08-20T21:38:18.3241470Z inflating: build/lib/torch/include/torch/csrc/lazy/core/hash.h 2024-08-20T21:38:18.3242150Z inflating: build/lib/torch/include/torch/csrc/lazy/core/helpers.h 2024-08-20T21:38:18.3243289Z inflating: build/lib/torch/include/torch/csrc/lazy/core/ir.h 2024-08-20T21:38:18.3244037Z inflating: build/lib/torch/include/torch/csrc/lazy/core/ir_builder.h 2024-08-20T21:38:18.3244531Z inflating: build/lib/torch/include/torch/csrc/lazy/core/ir_dump_util.h 2024-08-20T21:38:18.3245087Z inflating: build/lib/torch/include/torch/csrc/lazy/core/ir_metadata.h 2024-08-20T21:38:18.3245994Z inflating: build/lib/torch/include/torch/csrc/lazy/core/ir_util.h 2024-08-20T21:38:18.3247735Z inflating: build/lib/torch/include/torch/csrc/lazy/core/lazy_graph_executor.h 2024-08-20T21:38:18.3248638Z inflating: build/lib/torch/include/torch/csrc/lazy/core/metrics.h 2024-08-20T21:38:18.3249276Z inflating: build/lib/torch/include/torch/csrc/lazy/core/multi_wait.h 2024-08-20T21:38:18.3250302Z inflating: build/lib/torch/include/torch/csrc/lazy/core/permutation_util.h 2024-08-20T21:38:18.3250863Z inflating: build/lib/torch/include/torch/csrc/lazy/core/shape.h 2024-08-20T21:38:18.3252268Z inflating: build/lib/torch/include/torch/csrc/lazy/core/shape_inference.h 2024-08-20T21:38:18.3253388Z inflating: build/lib/torch/include/torch/csrc/lazy/core/tensor.h 2024-08-20T21:38:18.3254025Z inflating: build/lib/torch/include/torch/csrc/lazy/core/tensor_impl.h 2024-08-20T21:38:18.3254642Z inflating: build/lib/torch/include/torch/csrc/lazy/core/tensor_util.h 2024-08-20T21:38:18.3255185Z inflating: build/lib/torch/include/torch/csrc/lazy/core/thread_pool.h 2024-08-20T21:38:18.3255841Z inflating: build/lib/torch/include/torch/csrc/lazy/core/trie.h 2024-08-20T21:38:18.3256394Z inflating: build/lib/torch/include/torch/csrc/lazy/core/unique.h 2024-08-20T21:38:18.3257112Z inflating: build/lib/torch/include/torch/csrc/lazy/core/util.h 2024-08-20T21:38:18.3257438Z creating: build/lib/torch/include/torch/csrc/lazy/core/internal_ops/ 2024-08-20T21:38:18.3258194Z inflating: build/lib/torch/include/torch/csrc/lazy/core/internal_ops/ltc_ops.h 2024-08-20T21:38:18.3258442Z creating: build/lib/torch/include/torch/csrc/lazy/core/ops/ 2024-08-20T21:38:18.3259042Z inflating: build/lib/torch/include/torch/csrc/lazy/core/ops/arithmetic_ir_ops.h 2024-08-20T21:38:18.3259484Z inflating: build/lib/torch/include/torch/csrc/lazy/core/ops/utils.h 2024-08-20T21:38:18.3259940Z creating: build/lib/torch/include/torch/csrc/lazy/python/ 2024-08-20T21:38:18.3260457Z inflating: build/lib/torch/include/torch/csrc/lazy/python/python_util.h 2024-08-20T21:38:18.3260728Z creating: build/lib/torch/include/torch/csrc/lazy/ts_backend/ 2024-08-20T21:38:18.3261198Z inflating: build/lib/torch/include/torch/csrc/lazy/ts_backend/config.h 2024-08-20T21:38:18.3261907Z inflating: build/lib/torch/include/torch/csrc/lazy/ts_backend/dynamic_ir.h 2024-08-20T21:38:18.3262492Z inflating: build/lib/torch/include/torch/csrc/lazy/ts_backend/ir_builder.h 2024-08-20T21:38:18.3263023Z inflating: build/lib/torch/include/torch/csrc/lazy/ts_backend/tensor_aten_ops.h 2024-08-20T21:38:18.3263728Z inflating: build/lib/torch/include/torch/csrc/lazy/ts_backend/ts_autograd_functions.h 2024-08-20T21:38:18.3264278Z inflating: build/lib/torch/include/torch/csrc/lazy/ts_backend/ts_backend_impl.h 2024-08-20T21:38:18.3264722Z inflating: build/lib/torch/include/torch/csrc/lazy/ts_backend/ts_eager_fallback.h 2024-08-20T21:38:18.3265722Z inflating: build/lib/torch/include/torch/csrc/lazy/ts_backend/ts_lowering_context.h 2024-08-20T21:38:18.3266987Z inflating: build/lib/torch/include/torch/csrc/lazy/ts_backend/ts_node.h 2024-08-20T21:38:18.3267493Z inflating: build/lib/torch/include/torch/csrc/lazy/ts_backend/ts_node_lowering.h 2024-08-20T21:38:18.3267701Z creating: build/lib/torch/include/torch/csrc/xpu/ 2024-08-20T21:38:18.3268262Z inflating: build/lib/torch/include/torch/csrc/xpu/Event.h 2024-08-20T21:38:18.3268669Z inflating: build/lib/torch/include/torch/csrc/xpu/Module.h 2024-08-20T21:38:18.3269099Z inflating: build/lib/torch/include/torch/csrc/xpu/Stream.h 2024-08-20T21:38:18.3269325Z creating: build/lib/torch/include/pybind11/ 2024-08-20T21:38:18.3271533Z inflating: build/lib/torch/include/pybind11/attr.h 2024-08-20T21:38:18.3272542Z inflating: build/lib/torch/include/pybind11/buffer_info.h 2024-08-20T21:38:18.3277577Z inflating: build/lib/torch/include/pybind11/cast.h 2024-08-20T21:38:18.3278628Z inflating: build/lib/torch/include/pybind11/chrono.h 2024-08-20T21:38:18.3278973Z inflating: build/lib/torch/include/pybind11/common.h 2024-08-20T21:38:18.3279665Z inflating: build/lib/torch/include/pybind11/complex.h 2024-08-20T21:38:18.3280014Z inflating: build/lib/torch/include/pybind11/eigen.h 2024-08-20T21:38:18.3281515Z inflating: build/lib/torch/include/pybind11/embed.h 2024-08-20T21:38:18.3282164Z inflating: build/lib/torch/include/pybind11/eval.h 2024-08-20T21:38:18.3283117Z inflating: build/lib/torch/include/pybind11/functional.h 2024-08-20T21:38:18.3284016Z inflating: build/lib/torch/include/pybind11/gil.h 2024-08-20T21:38:18.3285148Z inflating: build/lib/torch/include/pybind11/gil_safe_call_once.h 2024-08-20T21:38:18.3286122Z inflating: build/lib/torch/include/pybind11/iostream.h 2024-08-20T21:38:18.3291940Z inflating: build/lib/torch/include/pybind11/numpy.h 2024-08-20T21:38:18.3293005Z inflating: build/lib/torch/include/pybind11/operators.h 2024-08-20T21:38:18.3293494Z inflating: build/lib/torch/include/pybind11/options.h 2024-08-20T21:38:18.3302742Z inflating: build/lib/torch/include/pybind11/pybind11.h 2024-08-20T21:38:18.3309289Z inflating: build/lib/torch/include/pybind11/pytypes.h 2024-08-20T21:38:18.3310721Z inflating: build/lib/torch/include/pybind11/stl.h 2024-08-20T21:38:18.3312990Z inflating: build/lib/torch/include/pybind11/stl_bind.h 2024-08-20T21:38:18.3313595Z inflating: build/lib/torch/include/pybind11/type_caster_pyobject_ptr.h 2024-08-20T21:38:18.3314390Z inflating: build/lib/torch/include/pybind11/typing.h 2024-08-20T21:38:18.3314613Z creating: build/lib/torch/include/pybind11/detail/ 2024-08-20T21:38:18.3317293Z inflating: build/lib/torch/include/pybind11/detail/class.h 2024-08-20T21:38:18.3321534Z inflating: build/lib/torch/include/pybind11/detail/common.h 2024-08-20T21:38:18.3322278Z inflating: build/lib/torch/include/pybind11/detail/descr.h 2024-08-20T21:38:18.3324016Z inflating: build/lib/torch/include/pybind11/detail/init.h 2024-08-20T21:38:18.3327034Z inflating: build/lib/torch/include/pybind11/detail/internals.h 2024-08-20T21:38:18.3330909Z inflating: build/lib/torch/include/pybind11/detail/type_caster_base.h 2024-08-20T21:38:18.3331328Z inflating: build/lib/torch/include/pybind11/detail/typeid.h 2024-08-20T21:38:18.3331538Z creating: build/lib/torch/include/pybind11/eigen/ 2024-08-20T21:38:18.3332140Z inflating: build/lib/torch/include/pybind11/eigen/common.h 2024-08-20T21:38:18.3334902Z inflating: build/lib/torch/include/pybind11/eigen/matrix.h 2024-08-20T21:38:18.3336434Z inflating: build/lib/torch/include/pybind11/eigen/tensor.h 2024-08-20T21:38:18.3336744Z creating: build/lib/torch/include/tensorpipe/ 2024-08-20T21:38:18.3337161Z inflating: build/lib/torch/include/tensorpipe/tensorpipe.h 2024-08-20T21:38:18.3337609Z inflating: build/lib/torch/include/tensorpipe/config.h 2024-08-20T21:38:18.3337844Z creating: build/lib/torch/include/tensorpipe/channel/ 2024-08-20T21:38:18.3338854Z inflating: build/lib/torch/include/tensorpipe/channel/context.h 2024-08-20T21:38:18.3339224Z inflating: build/lib/torch/include/tensorpipe/channel/error.h 2024-08-20T21:38:18.3339702Z creating: build/lib/torch/include/tensorpipe/channel/basic/ 2024-08-20T21:38:18.3340186Z inflating: build/lib/torch/include/tensorpipe/channel/basic/factory.h 2024-08-20T21:38:18.3340431Z creating: build/lib/torch/include/tensorpipe/channel/cma/ 2024-08-20T21:38:18.3340897Z inflating: build/lib/torch/include/tensorpipe/channel/cma/factory.h 2024-08-20T21:38:18.3341402Z creating: build/lib/torch/include/tensorpipe/channel/mpt/ 2024-08-20T21:38:18.3341790Z inflating: build/lib/torch/include/tensorpipe/channel/mpt/factory.h 2024-08-20T21:38:18.3342017Z creating: build/lib/torch/include/tensorpipe/channel/xth/ 2024-08-20T21:38:18.3342552Z inflating: build/lib/torch/include/tensorpipe/channel/xth/factory.h 2024-08-20T21:38:18.3342764Z creating: build/lib/torch/include/tensorpipe/common/ 2024-08-20T21:38:18.3343476Z inflating: build/lib/torch/include/tensorpipe/common/buffer.h 2024-08-20T21:38:18.3343954Z inflating: build/lib/torch/include/tensorpipe/common/cpu_buffer.h 2024-08-20T21:38:18.3344482Z inflating: build/lib/torch/include/tensorpipe/common/device.h 2024-08-20T21:38:18.3345186Z inflating: build/lib/torch/include/tensorpipe/common/error.h 2024-08-20T21:38:18.3347191Z inflating: build/lib/torch/include/tensorpipe/common/optional.h 2024-08-20T21:38:18.3347385Z creating: build/lib/torch/include/tensorpipe/core/ 2024-08-20T21:38:18.3348546Z inflating: build/lib/torch/include/tensorpipe/core/context.h 2024-08-20T21:38:18.3348915Z inflating: build/lib/torch/include/tensorpipe/core/error.h 2024-08-20T21:38:18.3349659Z inflating: build/lib/torch/include/tensorpipe/core/listener.h 2024-08-20T21:38:18.3350322Z inflating: build/lib/torch/include/tensorpipe/core/message.h 2024-08-20T21:38:18.3351077Z inflating: build/lib/torch/include/tensorpipe/core/pipe.h 2024-08-20T21:38:18.3351443Z creating: build/lib/torch/include/tensorpipe/transport/ 2024-08-20T21:38:18.3352160Z inflating: build/lib/torch/include/tensorpipe/transport/context.h 2024-08-20T21:38:18.3352589Z inflating: build/lib/torch/include/tensorpipe/transport/error.h 2024-08-20T21:38:18.3352886Z creating: build/lib/torch/include/tensorpipe/transport/ibv/ 2024-08-20T21:38:18.3353409Z inflating: build/lib/torch/include/tensorpipe/transport/ibv/error.h 2024-08-20T21:38:18.3353915Z inflating: build/lib/torch/include/tensorpipe/transport/ibv/factory.h 2024-08-20T21:38:18.3354416Z inflating: build/lib/torch/include/tensorpipe/transport/ibv/utility.h 2024-08-20T21:38:18.3354706Z creating: build/lib/torch/include/tensorpipe/transport/shm/ 2024-08-20T21:38:18.3355207Z inflating: build/lib/torch/include/tensorpipe/transport/shm/factory.h 2024-08-20T21:38:18.3355445Z creating: build/lib/torch/include/tensorpipe/transport/uv/ 2024-08-20T21:38:18.3355906Z inflating: build/lib/torch/include/tensorpipe/transport/uv/error.h 2024-08-20T21:38:18.3356382Z inflating: build/lib/torch/include/tensorpipe/transport/uv/factory.h 2024-08-20T21:38:18.3356920Z inflating: build/lib/torch/include/tensorpipe/transport/uv/utility.h 2024-08-20T21:38:18.3357089Z creating: build/lib/torch/include/kineto/ 2024-08-20T21:38:18.3357887Z inflating: build/lib/torch/include/kineto/AbstractConfig.h 2024-08-20T21:38:18.3358821Z inflating: build/lib/torch/include/kineto/ActivityProfilerInterface.h 2024-08-20T21:38:18.3359149Z inflating: build/lib/torch/include/kineto/ActivityTraceInterface.h 2024-08-20T21:38:18.3359713Z inflating: build/lib/torch/include/kineto/ActivityType.h 2024-08-20T21:38:18.3361225Z inflating: build/lib/torch/include/kineto/Config.h 2024-08-20T21:38:18.3361569Z inflating: build/lib/torch/include/kineto/ClientInterface.h 2024-08-20T21:38:18.3362443Z inflating: build/lib/torch/include/kineto/GenericTraceActivity.h 2024-08-20T21:38:18.3363570Z inflating: build/lib/torch/include/kineto/IActivityProfiler.h 2024-08-20T21:38:18.3364001Z inflating: build/lib/torch/include/kineto/ILoggerObserver.h 2024-08-20T21:38:18.3364595Z inflating: build/lib/torch/include/kineto/ITraceActivity.h 2024-08-20T21:38:18.3365017Z inflating: build/lib/torch/include/kineto/LoggingAPI.h 2024-08-20T21:38:18.3365539Z inflating: build/lib/torch/include/kineto/TraceSpan.h 2024-08-20T21:38:18.3366006Z inflating: build/lib/torch/include/kineto/ThreadUtil.h 2024-08-20T21:38:18.3366760Z inflating: build/lib/torch/include/kineto/libkineto.h 2024-08-20T21:38:18.3367270Z inflating: build/lib/torch/include/kineto/time_since_epoch.h 2024-08-20T21:38:18.3367976Z inflating: build/lib/torch/include/kineto/output_base.h 2024-08-20T21:38:18.3368114Z creating: build/lib/torch/share/ 2024-08-20T21:38:18.3368435Z creating: build/lib/torch/share/cmake/ 2024-08-20T21:38:18.3368691Z creating: build/lib/torch/share/cmake/ATen/ 2024-08-20T21:38:18.3369301Z inflating: build/lib/torch/share/cmake/ATen/ATenConfig.cmake 2024-08-20T21:38:18.3369477Z creating: build/lib/torch/share/cmake/Caffe2/ 2024-08-20T21:38:18.3370983Z inflating: build/lib/torch/share/cmake/Caffe2/Caffe2Config.cmake 2024-08-20T21:38:18.3374006Z inflating: build/lib/torch/share/cmake/Caffe2/FindCUDAToolkit.cmake 2024-08-20T21:38:18.3374561Z inflating: build/lib/torch/share/cmake/Caffe2/FindCUSPARSELT.cmake 2024-08-20T21:38:18.3375211Z inflating: build/lib/torch/share/cmake/Caffe2/FindSYCLToolkit.cmake 2024-08-20T21:38:18.3376082Z inflating: build/lib/torch/share/cmake/Caffe2/Caffe2Targets.cmake 2024-08-20T21:38:18.3376826Z inflating: build/lib/torch/share/cmake/Caffe2/Caffe2Targets-release.cmake 2024-08-20T21:38:18.3377034Z creating: build/lib/torch/share/cmake/Caffe2/public/ 2024-08-20T21:38:18.3378662Z inflating: build/lib/torch/share/cmake/Caffe2/public/cuda.cmake 2024-08-20T21:38:18.3379001Z inflating: build/lib/torch/share/cmake/Caffe2/public/xpu.cmake 2024-08-20T21:38:18.3379675Z inflating: build/lib/torch/share/cmake/Caffe2/public/glog.cmake 2024-08-20T21:38:18.3380464Z inflating: build/lib/torch/share/cmake/Caffe2/public/gflags.cmake 2024-08-20T21:38:18.3381071Z inflating: build/lib/torch/share/cmake/Caffe2/public/mkl.cmake 2024-08-20T21:38:18.3381496Z inflating: build/lib/torch/share/cmake/Caffe2/public/mkldnn.cmake 2024-08-20T21:38:18.3382289Z inflating: build/lib/torch/share/cmake/Caffe2/public/protobuf.cmake 2024-08-20T21:38:18.3384212Z inflating: build/lib/torch/share/cmake/Caffe2/public/utils.cmake 2024-08-20T21:38:18.3385248Z inflating: build/lib/torch/share/cmake/Caffe2/public/LoadHIP.cmake 2024-08-20T21:38:18.3385530Z creating: build/lib/torch/share/cmake/Caffe2/Modules_CUDA_fix/ 2024-08-20T21:38:18.3386065Z inflating: build/lib/torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDA.cmake 2024-08-20T21:38:18.3386835Z inflating: build/lib/torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDNN.cmake 2024-08-20T21:38:18.3387165Z creating: build/lib/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/ 2024-08-20T21:38:18.3387836Z inflating: build/lib/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/CMakeInitializeConfigs.cmake 2024-08-20T21:38:18.3394172Z inflating: build/lib/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA.cmake 2024-08-20T21:38:18.3395872Z inflating: build/lib/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindPackageHandleStandardArgs.cmake 2024-08-20T21:38:18.3396395Z inflating: build/lib/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindPackageMessage.cmake 2024-08-20T21:38:18.3396897Z creating: build/lib/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/ 2024-08-20T21:38:18.3397571Z inflating: build/lib/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/make2cmake.cmake 2024-08-20T21:38:18.3398346Z inflating: build/lib/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/parse_cubin.cmake 2024-08-20T21:38:18.3399819Z inflating: build/lib/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/run_nvcc.cmake 2024-08-20T21:38:18.3401223Z inflating: build/lib/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/select_compute_arch.cmake 2024-08-20T21:38:18.3401416Z creating: build/lib/torch/share/cmake/Tensorpipe/ 2024-08-20T21:38:18.3401946Z inflating: build/lib/torch/share/cmake/Tensorpipe/TensorpipeTargets.cmake 2024-08-20T21:38:18.3402660Z inflating: build/lib/torch/share/cmake/Tensorpipe/TensorpipeTargets-release.cmake 2024-08-20T21:38:18.3402904Z creating: build/lib/torch/share/cmake/Torch/ 2024-08-20T21:38:18.3403437Z inflating: build/lib/torch/share/cmake/Torch/TorchConfigVersion.cmake 2024-08-20T21:38:18.3404133Z inflating: build/lib/torch/share/cmake/Torch/TorchConfig.cmake 2024-08-20T21:38:18.3404319Z creating: build/lib/torch/lib/ 2024-08-20T21:38:18.3483648Z inflating: build/lib/torch/lib/libc10.so 2024-08-20T21:38:18.3556219Z inflating: build/lib/torch/lib/libtorchbind_test.so 2024-08-20T21:38:18.3577527Z inflating: build/lib/torch/lib/libjitbackend_test.so 2024-08-20T21:38:18.3602876Z inflating: build/lib/torch/lib/libbackend_with_compiler.so 2024-08-20T21:38:18.3630010Z inflating: build/lib/torch/lib/libaoti_custom_ops.so 2024-08-20T21:38:20.5808367Z inflating: build/lib/torch/lib/libtorch_cpu.so 2024-08-20T21:38:20.5809029Z inflating: build/lib/torch/lib/libtorch.so 2024-08-20T21:38:20.5810673Z inflating: build/lib/torch/lib/libtorch_global_deps.so 2024-08-20T21:38:20.5811224Z creating: build/lib/torchgen/ 2024-08-20T21:38:20.5811643Z inflating: build/lib/torchgen/__init__.py 2024-08-20T21:38:20.5812171Z inflating: build/lib/torchgen/code_template.py 2024-08-20T21:38:20.5812686Z inflating: build/lib/torchgen/context.py 2024-08-20T21:38:20.5820462Z inflating: build/lib/torchgen/gen.py 2024-08-20T21:38:20.5822087Z inflating: build/lib/torchgen/gen_aoti_c_shim.py 2024-08-20T21:38:20.5823972Z inflating: build/lib/torchgen/gen_backend_stubs.py 2024-08-20T21:38:20.5827030Z inflating: build/lib/torchgen/gen_executorch.py 2024-08-20T21:38:20.5830284Z inflating: build/lib/torchgen/gen_functionalization_type.py 2024-08-20T21:38:20.5832265Z inflating: build/lib/torchgen/gen_lazy_tensor.py 2024-08-20T21:38:20.5833213Z inflating: build/lib/torchgen/gen_vmap_plumbing.py 2024-08-20T21:38:20.5834116Z inflating: build/lib/torchgen/local.py 2024-08-20T21:38:20.5842243Z inflating: build/lib/torchgen/model.py 2024-08-20T21:38:20.5844441Z inflating: build/lib/torchgen/native_function_generation.py 2024-08-20T21:38:20.5846501Z inflating: build/lib/torchgen/utils.py 2024-08-20T21:38:20.5847051Z inflating: build/lib/torchgen/yaml_utils.py 2024-08-20T21:38:20.5847596Z creating: build/lib/torchgen/aoti/ 2024-08-20T21:38:20.5848118Z extracting: build/lib/torchgen/aoti/__init__.py 2024-08-20T21:38:20.5848823Z inflating: build/lib/torchgen/aoti/fallback_ops.py 2024-08-20T21:38:20.5849374Z creating: build/lib/torchgen/api/ 2024-08-20T21:38:20.5849825Z extracting: build/lib/torchgen/api/__init__.py 2024-08-20T21:38:20.5852439Z inflating: build/lib/torchgen/api/autograd.py 2024-08-20T21:38:20.5853992Z inflating: build/lib/torchgen/api/cpp.py 2024-08-20T21:38:20.5854717Z inflating: build/lib/torchgen/api/dispatcher.py 2024-08-20T21:38:20.5856153Z inflating: build/lib/torchgen/api/functionalization.py 2024-08-20T21:38:20.5857767Z inflating: build/lib/torchgen/api/lazy.py 2024-08-20T21:38:20.5858300Z inflating: build/lib/torchgen/api/meta.py 2024-08-20T21:38:20.5858948Z inflating: build/lib/torchgen/api/native.py 2024-08-20T21:38:20.5864253Z inflating: build/lib/torchgen/api/python.py 2024-08-20T21:38:20.5864898Z inflating: build/lib/torchgen/api/structured.py 2024-08-20T21:38:20.5867003Z inflating: build/lib/torchgen/api/translate.py 2024-08-20T21:38:20.5867897Z inflating: build/lib/torchgen/api/ufunc.py 2024-08-20T21:38:20.5869180Z inflating: build/lib/torchgen/api/unboxing.py 2024-08-20T21:38:20.5869720Z creating: build/lib/torchgen/api/types/ 2024-08-20T21:38:20.5870284Z inflating: build/lib/torchgen/api/types/__init__.py 2024-08-20T21:38:20.5871441Z inflating: build/lib/torchgen/api/types/signatures.py 2024-08-20T21:38:20.5872322Z inflating: build/lib/torchgen/api/types/types.py 2024-08-20T21:38:20.5873382Z inflating: build/lib/torchgen/api/types/types_base.py 2024-08-20T21:38:20.5873987Z creating: build/lib/torchgen/dest/ 2024-08-20T21:38:20.5874611Z inflating: build/lib/torchgen/dest/__init__.py 2024-08-20T21:38:20.5876820Z inflating: build/lib/torchgen/dest/lazy_ir.py 2024-08-20T21:38:20.5877440Z inflating: build/lib/torchgen/dest/lazy_ts_lowering.py 2024-08-20T21:38:20.5878096Z inflating: build/lib/torchgen/dest/native_functions.py 2024-08-20T21:38:20.5881202Z inflating: build/lib/torchgen/dest/register_dispatch_key.py 2024-08-20T21:38:20.5882772Z inflating: build/lib/torchgen/dest/ufunc.py 2024-08-20T21:38:20.5883318Z creating: build/lib/torchgen/executorch/ 2024-08-20T21:38:20.5883854Z extracting: build/lib/torchgen/executorch/__init__.py 2024-08-20T21:38:20.5884464Z inflating: build/lib/torchgen/executorch/model.py 2024-08-20T21:38:20.5885182Z inflating: build/lib/torchgen/executorch/parse.py 2024-08-20T21:38:20.5885760Z creating: build/lib/torchgen/executorch/api/ 2024-08-20T21:38:20.5886616Z extracting: build/lib/torchgen/executorch/api/__init__.py 2024-08-20T21:38:20.5887774Z inflating: build/lib/torchgen/executorch/api/custom_ops.py 2024-08-20T21:38:20.5888796Z inflating: build/lib/torchgen/executorch/api/et_cpp.py 2024-08-20T21:38:20.5889863Z inflating: build/lib/torchgen/executorch/api/unboxing.py 2024-08-20T21:38:20.5890961Z creating: build/lib/torchgen/executorch/api/types/ 2024-08-20T21:38:20.5892098Z inflating: build/lib/torchgen/executorch/api/types/__init__.py 2024-08-20T21:38:20.5893121Z inflating: build/lib/torchgen/executorch/api/types/signatures.py 2024-08-20T21:38:20.5894396Z inflating: build/lib/torchgen/executorch/api/types/types.py 2024-08-20T21:38:20.5895397Z creating: build/lib/torchgen/operator_versions/ 2024-08-20T21:38:20.5896280Z extracting: build/lib/torchgen/operator_versions/__init__.py 2024-08-20T21:38:20.5897643Z inflating: build/lib/torchgen/operator_versions/gen_mobile_upgraders.py 2024-08-20T21:38:20.5898927Z inflating: build/lib/torchgen/operator_versions/gen_mobile_upgraders_constant.py 2024-08-20T21:38:20.5900148Z creating: build/lib/torchgen/selective_build/ 2024-08-20T21:38:20.5900740Z extracting: build/lib/torchgen/selective_build/__init__.py 2024-08-20T21:38:20.5901470Z inflating: build/lib/torchgen/selective_build/operator.py 2024-08-20T21:38:20.5902423Z inflating: build/lib/torchgen/selective_build/selector.py 2024-08-20T21:38:20.5902994Z creating: build/lib/torchgen/static_runtime/ 2024-08-20T21:38:20.5903560Z extracting: build/lib/torchgen/static_runtime/__init__.py 2024-08-20T21:38:20.5904173Z inflating: build/lib/torchgen/static_runtime/config.py 2024-08-20T21:38:20.5904876Z inflating: build/lib/torchgen/static_runtime/gen_static_runtime_ops.py 2024-08-20T21:38:20.5905607Z inflating: build/lib/torchgen/static_runtime/generator.py 2024-08-20T21:38:20.5920484Z inflating: build/lib/libfmt.a 2024-08-20T21:38:20.5924461Z inflating: build/lib/libshm.so 2024-08-20T21:38:20.6179348Z inflating: build/lib/libkineto.a 2024-08-20T21:38:20.8073496Z inflating: build/lib/libtorch_python.so 2024-08-20T21:38:20.8109371Z inflating: build/lib/libnnapi_backend.so 2024-08-20T21:38:20.8109800Z creating: build/bin/ 2024-08-20T21:38:20.8110364Z creating: build/bin/CMakeFiles/ 2024-08-20T21:38:20.8110965Z inflating: build/bin/CMakeFiles/CMakeDirectoryInformation.cmake 2024-08-20T21:38:20.8111641Z extracting: build/bin/CMakeFiles/progress.marks 2024-08-20T21:38:20.8112126Z inflating: build/bin/Makefile 2024-08-20T21:38:20.8112963Z inflating: build/bin/cmake_install.cmake 2024-08-20T21:38:20.8113495Z inflating: build/bin/CTestTestfile.cmake 2024-08-20T21:38:20.8469551Z inflating: build/bin/protoc-3.13.0.0 2024-08-20T21:38:20.8824782Z inflating: build/bin/protoc 2024-08-20T21:38:20.9142689Z inflating: build/bin/vec_test_all_types_DEFAULT 2024-08-20T21:38:20.9483824Z inflating: build/bin/vec_test_all_types_AVX2 2024-08-20T21:38:20.9808875Z inflating: build/bin/vec_test_all_types_AVX512 2024-08-20T21:38:20.9855874Z inflating: build/bin/FileStoreTest 2024-08-20T21:38:20.9904385Z inflating: build/bin/TCPStoreTest 2024-08-20T21:38:20.9951482Z inflating: build/bin/HashStoreTest 2024-08-20T21:38:20.9997591Z inflating: build/bin/BackoffTest 2024-08-20T21:38:21.0057463Z inflating: build/bin/ProcessGroupGlooTest 2024-08-20T21:38:21.0060206Z inflating: build/bin/example_allreduce 2024-08-20T21:38:21.0108727Z inflating: build/bin/test_dist_autograd 2024-08-20T21:38:21.0169539Z inflating: build/bin/test_cpp_rpc 2024-08-20T21:38:21.0171716Z inflating: build/bin/parallel_benchmark 2024-08-20T21:38:21.0180750Z inflating: build/bin/aot_model_compiler_test 2024-08-20T21:38:21.0223940Z inflating: build/bin/op_allowlist_test 2024-08-20T21:38:21.0284904Z inflating: build/bin/test_mobile_nnc 2024-08-20T21:38:21.0374973Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2024-08-20T21:38:21.0423972Z inflating: build/bin/backend_fallback_test 2024-08-20T21:38:21.0512545Z inflating: build/bin/kernel_function_test 2024-08-20T21:38:21.0631991Z inflating: build/bin/kernel_function_legacy_test 2024-08-20T21:38:21.0685316Z inflating: build/bin/IListRef_test 2024-08-20T21:38:21.0742885Z inflating: build/bin/KernelFunction_test 2024-08-20T21:38:21.0788474Z inflating: build/bin/xla_tensor_test 2024-08-20T21:38:21.0853606Z inflating: build/bin/legacy_vmap_test 2024-08-20T21:38:21.0900191Z inflating: build/bin/type_ptr_test 2024-08-20T21:38:21.0954950Z inflating: build/bin/type_test 2024-08-20T21:38:21.1027901Z inflating: build/bin/tensor_iterator_test 2024-08-20T21:38:21.1334840Z inflating: build/bin/test_lazy 2024-08-20T21:38:21.1381331Z inflating: build/bin/stride_properties_test 2024-08-20T21:38:21.1426836Z inflating: build/bin/StorageUtils_test 2024-08-20T21:38:21.1481169Z inflating: build/bin/kernel_stackbased_test 2024-08-20T21:38:21.1532898Z inflating: build/bin/apply_utils_test 2024-08-20T21:38:21.1582931Z inflating: build/bin/NamedTensor_test 2024-08-20T21:38:21.1628513Z inflating: build/bin/weakref_test 2024-08-20T21:38:21.1680569Z inflating: build/bin/scalar_test 2024-08-20T21:38:21.1737987Z inflating: build/bin/basic 2024-08-20T21:38:21.1801824Z inflating: build/bin/Dict_test 2024-08-20T21:38:21.1850507Z inflating: build/bin/broadcast_test 2024-08-20T21:38:21.1901856Z inflating: build/bin/cpu_generator_test 2024-08-20T21:38:21.1960866Z inflating: build/bin/MaybeOwned_test 2024-08-20T21:38:21.2056325Z inflating: build/bin/kernel_lambda_test 2024-08-20T21:38:21.2103661Z inflating: build/bin/test_parallel 2024-08-20T21:38:21.2151522Z inflating: build/bin/cpu_profiling_allocator_test 2024-08-20T21:38:21.2272690Z inflating: build/bin/kernel_lambda_legacy_test 2024-08-20T21:38:21.2319640Z inflating: build/bin/half_test 2024-08-20T21:38:21.2364924Z inflating: build/bin/cpu_allocator_test 2024-08-20T21:38:21.2414695Z inflating: build/bin/static_runtime_bench 2024-08-20T21:38:21.2460725Z inflating: build/bin/Dimname_test 2024-08-20T21:38:21.2462175Z inflating: build/bin/verify_api_visibility 2024-08-20T21:38:21.2515326Z inflating: build/bin/atest 2024-08-20T21:38:21.2600073Z inflating: build/bin/cpu_rng_test 2024-08-20T21:38:21.2646687Z inflating: build/bin/memory_overlapping_test 2024-08-20T21:38:21.2691194Z inflating: build/bin/dispatch_key_set_test 2024-08-20T21:38:21.2746252Z inflating: build/bin/inline_container_test 2024-08-20T21:38:21.3025155Z inflating: build/bin/static_runtime_test 2024-08-20T21:38:21.3027601Z inflating: build/bin/thread_init_test 2024-08-20T21:38:21.3119576Z inflating: build/bin/List_test 2024-08-20T21:38:21.3164689Z inflating: build/bin/operators_test 2024-08-20T21:38:21.3210195Z inflating: build/bin/operator_name_test 2024-08-20T21:38:21.3255657Z inflating: build/bin/wrapdim_test 2024-08-20T21:38:21.3300901Z inflating: build/bin/dlconvertor_test 2024-08-20T21:38:21.3354860Z inflating: build/bin/extension_backend_test 2024-08-20T21:38:21.3401171Z inflating: build/bin/undefined_tensor_test 2024-08-20T21:38:21.3449042Z inflating: build/bin/mobile_memory_cleanup 2024-08-20T21:38:21.3499663Z inflating: build/bin/scalar_tensor_test 2024-08-20T21:38:21.3544324Z inflating: build/bin/lazy_tensor_test 2024-08-20T21:38:21.3632356Z inflating: build/bin/ivalue_test 2024-08-20T21:38:21.4877555Z inflating: build/bin/test_api 2024-08-20T21:38:21.4921751Z inflating: build/bin/CppSignature_test 2024-08-20T21:38:21.5226727Z inflating: build/bin/op_registration_test 2024-08-20T21:38:21.5277330Z inflating: build/bin/native_test 2024-08-20T21:38:21.5324306Z inflating: build/bin/math_kernel_test 2024-08-20T21:38:21.5371707Z inflating: build/bin/memory_format_test 2024-08-20T21:38:21.5416110Z inflating: build/bin/reduce_ops_test 2024-08-20T21:38:21.5462271Z inflating: build/bin/packedtensoraccessor_test 2024-08-20T21:38:21.5526274Z inflating: build/bin/pow_test 2024-08-20T21:38:21.5571676Z inflating: build/bin/reportMemoryUsage_test 2024-08-20T21:38:21.5622246Z inflating: build/bin/quantized_test 2024-08-20T21:38:21.5669985Z inflating: build/bin/test_edge_op_registration 2024-08-20T21:38:21.5684919Z inflating: build/bin/tutorial_tensorexpr 2024-08-20T21:38:21.6671995Z inflating: build/bin/test_tensorexpr 2024-08-20T21:38:21.7227290Z inflating: build/bin/test_jit 2024-08-20T21:38:21.7265578Z inflating: build/bin/c10_intrusive_ptr_benchmark 2024-08-20T21:38:21.7310313Z inflating: build/bin/c10_Device_test 2024-08-20T21:38:21.7353722Z inflating: build/bin/c10_TypeTraits_test 2024-08-20T21:38:21.7398603Z inflating: build/bin/c10_TypeList_test 2024-08-20T21:38:21.7444126Z inflating: build/bin/c10_TypeIndex_test 2024-08-20T21:38:21.7488145Z inflating: build/bin/c10_Synchronized_test 2024-08-20T21:38:21.7531687Z inflating: build/bin/c10_ConstexprCrc_test 2024-08-20T21:38:21.7581022Z inflating: build/bin/c10_LeftRight_test 2024-08-20T21:38:21.7626486Z inflating: build/bin/c10_ssize_test 2024-08-20T21:38:21.7670793Z inflating: build/bin/c10_DeadlockDetection_test 2024-08-20T21:38:21.7715399Z inflating: build/bin/c10_Half_test 2024-08-20T21:38:21.7763642Z inflating: build/bin/c10_ThreadLocal_test 2024-08-20T21:38:21.7815041Z inflating: build/bin/c10_DispatchKeySet_test 2024-08-20T21:38:21.7858605Z inflating: build/bin/c10_StreamGuard_test 2024-08-20T21:38:21.7912882Z inflating: build/bin/c10_ordered_preserving_dict_test 2024-08-20T21:38:21.7957098Z inflating: build/bin/c10_CompileTimeFunctionPointer_test 2024-08-20T21:38:21.8001461Z inflating: build/bin/c10_tempfile_test 2024-08-20T21:38:21.8046709Z inflating: build/bin/c10_DeviceGuard_test 2024-08-20T21:38:21.8094358Z inflating: build/bin/c10_typeid_test 2024-08-20T21:38:21.8142230Z inflating: build/bin/c10_Scalar_test 2024-08-20T21:38:21.8187000Z inflating: build/bin/c10_SymInt_test 2024-08-20T21:38:21.8233185Z inflating: build/bin/c10_Bitset_test 2024-08-20T21:38:21.8293517Z inflating: build/bin/c10_cow_test 2024-08-20T21:38:21.8343663Z inflating: build/bin/c10_SizesAndStrides_test 2024-08-20T21:38:21.8391137Z inflating: build/bin/c10_InlineDeviceGuard_test 2024-08-20T21:38:21.8440419Z inflating: build/bin/c10_InlineStreamGuard_test 2024-08-20T21:38:21.8486017Z inflating: build/bin/c10_accumulate_test 2024-08-20T21:38:21.8530943Z inflating: build/bin/c10_bit_cast_test 2024-08-20T21:38:21.8579273Z inflating: build/bin/c10_bfloat16_test 2024-08-20T21:38:21.8629846Z inflating: build/bin/c10_string_view_test 2024-08-20T21:38:21.8676647Z inflating: build/bin/c10_exception_test 2024-08-20T21:38:21.8721602Z inflating: build/bin/c10_irange_test 2024-08-20T21:38:21.8767018Z inflating: build/bin/c10_flags_test 2024-08-20T21:38:21.8810724Z inflating: build/bin/c10_generic_math_test 2024-08-20T21:38:21.8859175Z inflating: build/bin/c10_complex_test 2024-08-20T21:38:21.8986393Z inflating: build/bin/c10_intrusive_ptr_test 2024-08-20T21:38:21.9037752Z inflating: build/bin/c10_complex_math_test 2024-08-20T21:38:21.9086799Z inflating: build/bin/c10_logging_test 2024-08-20T21:38:21.9155314Z inflating: build/bin/c10_optional_test 2024-08-20T21:38:21.9202788Z inflating: build/bin/c10_registry_test 2024-08-20T21:38:21.9249400Z inflating: build/bin/c10_lazy_test 2024-08-20T21:38:21.9378081Z inflating: build/bin/c10_small_vector_test 2024-08-20T21:38:21.9423319Z inflating: build/bin/c10_string_util_test 2024-08-20T21:38:21.9470873Z inflating: build/bin/c10_Metaprogramming_test 2024-08-20T21:38:21.9474820Z inflating: build/bin/torch_shm_manager 2024-08-20T21:38:21.9475287Z creating: .additional_ci_files/ 2024-08-20T21:38:21.9531863Z inflating: .additional_ci_files/test-times.json 2024-08-20T21:38:21.9759737Z inflating: .additional_ci_files/test-class-times.json 2024-08-20T21:38:21.9831641Z ##[group]Run rm artifacts.zip 2024-08-20T21:38:21.9832013Z rm artifacts.zip 2024-08-20T21:38:21.9837939Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:38:21.9838441Z env: 2024-08-20T21:38:21.9838684Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:38:21.9839010Z ##[endgroup] 2024-08-20T21:38:22.0448944Z ##[group]Run df -H 2024-08-20T21:38:22.0449242Z df -H 2024-08-20T21:38:22.0454769Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:38:22.0455261Z env: 2024-08-20T21:38:22.0455516Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:38:22.0455829Z ##[endgroup] 2024-08-20T21:38:22.0509939Z Filesystem Size Used Avail Use% Mounted on 2024-08-20T21:38:22.0510809Z devtmpfs 4.2M 0 4.2M 0% /dev 2024-08-20T21:38:22.0511283Z tmpfs 8.2G 34M 8.2G 1% /dev/shm 2024-08-20T21:38:22.0511745Z tmpfs 3.3G 488k 3.3G 1% /run 2024-08-20T21:38:22.0512285Z /dev/nvme0n1p1 161G 22G 140G 14% / 2024-08-20T21:38:22.0512906Z tmpfs 8.2G 144k 8.2G 1% /tmp 2024-08-20T21:38:22.0513393Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2024-08-20T21:38:22.0602134Z Prepare all required actions 2024-08-20T21:38:22.0602569Z Getting action download info 2024-08-20T21:38:22.1973116Z ##[group]Run ./.github/actions/download-td-artifacts 2024-08-20T21:38:22.1973616Z with: 2024-08-20T21:38:22.1973843Z env: 2024-08-20T21:38:22.1974107Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:38:22.1974430Z ##[endgroup] 2024-08-20T21:38:22.2099603Z ##[group]Run seemethere/download-artifact-s3@v4 2024-08-20T21:38:22.2100134Z with: 2024-08-20T21:38:22.2100376Z name: td_results 2024-08-20T21:38:22.2100687Z s3-bucket: gha-artifacts 2024-08-20T21:38:22.2101027Z region: us-east-1 2024-08-20T21:38:22.2101292Z env: 2024-08-20T21:38:22.2101551Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:38:22.2101875Z ##[endgroup] 2024-08-20T21:38:22.6861152Z (node:1936444) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2024-08-20T21:38:22.6861956Z 2024-08-20T21:38:22.6862307Z Please migrate your code to use AWS SDK for JavaScript (v3). 2024-08-20T21:38:22.6863036Z For more information, check the migration guide at https://a.co/7PzMCcy 2024-08-20T21:38:22.6863931Z (Use `node --trace-warnings ...` to show where the warning was created) 2024-08-20T21:38:22.7524990Z Found 1 objects with prefix pytorch/pytorch/10479309237/td_results/ 2024-08-20T21:38:22.7526245Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2024-08-20T21:38:22.8044868Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2024-08-20T21:38:22.8050514Z Artifact download has finished successfully 2024-08-20T21:38:22.8226228Z ##[group]Run mkdir -p .additional_ci_files 2024-08-20T21:38:22.8226699Z mkdir -p .additional_ci_files 2024-08-20T21:38:22.8227258Z mv td_results.json .additional_ci_files/td_results.json 2024-08-20T21:38:22.8233535Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:38:22.8234166Z env: 2024-08-20T21:38:22.8234438Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:38:22.8234767Z ##[endgroup] 2024-08-20T21:38:22.8635940Z ##[group]Run .github/scripts/parse_ref.py 2024-08-20T21:38:22.8636430Z .github/scripts/parse_ref.py 2024-08-20T21:38:22.8641873Z shell: /usr/bin/bash -e {0} 2024-08-20T21:38:22.8642209Z env: 2024-08-20T21:38:22.8642460Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:38:22.8642774Z ##[endgroup] 2024-08-20T21:38:22.9161424Z Prepare all required actions 2024-08-20T21:38:22.9249132Z ##[group]Run ./.github/actions/get-workflow-job-id 2024-08-20T21:38:22.9249589Z with: 2024-08-20T21:38:22.9250256Z github-token: *** 2024-08-20T21:38:22.9250531Z env: 2024-08-20T21:38:22.9250788Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:38:22.9251114Z ##[endgroup] 2024-08-20T21:38:22.9333302Z ##[group]Run set -eux 2024-08-20T21:38:22.9333623Z set -eux 2024-08-20T21:38:22.9334206Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2024-08-20T21:38:22.9340324Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:38:22.9340803Z env: 2024-08-20T21:38:22.9341058Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:38:22.9341587Z GITHUB_TOKEN: *** 2024-08-20T21:38:22.9341864Z ##[endgroup] 2024-08-20T21:38:22.9365975Z + python3 .github/scripts/get_workflow_job_id.py 10479309237 i-027f5d590cb01bc2c 2024-08-20T21:38:24.9690807Z setting job-id=29025337481 2024-08-20T21:38:24.9691937Z setting job-name=linux-focal-py3.12-clang10-experimental-split-build / test (default, 1, 3, amz2023.linux.2xlarge) 2024-08-20T21:38:25.0004097Z Prepare all required actions 2024-08-20T21:38:25.0004543Z Getting action download info 2024-08-20T21:38:25.1163848Z ##[group]Run ./.github/actions/filter-test-configs 2024-08-20T21:38:25.1178194Z with: 2024-08-20T21:38:25.1178767Z github-token: *** 2024-08-20T21:38:25.1181248Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 3, "num_shards": 3, "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"}]} 2024-08-20T21:38:25.1184229Z job-name: linux-focal-py3.12-clang10-experimental-split-build / test (default, 1, 3, amz2023.linux.2xlarge) 2024-08-20T21:38:25.1185101Z env: 2024-08-20T21:38:25.1185349Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:38:25.1185676Z ##[endgroup] 2024-08-20T21:38:25.1939573Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2024-08-20T21:38:25.1940635Z with: 2024-08-20T21:38:25.1941045Z shell: bash 2024-08-20T21:38:25.1941505Z timeout_minutes: 10 2024-08-20T21:38:25.1942013Z max_attempts: 5 2024-08-20T21:38:25.1942505Z retry_wait_seconds: 30 2024-08-20T21:38:25.1944559Z 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 2024-08-20T21:38:25.1946664Z polling_interval_seconds: 1 2024-08-20T21:38:25.1947283Z warning_on_retry: true 2024-08-20T21:38:25.1947885Z continue_on_error: false 2024-08-20T21:38:25.1948424Z env: 2024-08-20T21:38:25.1948869Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:38:25.1949802Z GITHUB_TOKEN: *** 2024-08-20T21:38:25.1950306Z ##[endgroup] 2024-08-20T21:38:25.2689548Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.1 2024-08-20T21:38:25.5128218Z Defaulting to user installation because normal site-packages is not writeable 2024-08-20T21:38:25.5290860Z Requirement already satisfied: requests==2.27.1 in /home/ec2-user/.local/lib/python3.9/site-packages (2.27.1) 2024-08-20T21:38:25.5294902Z Requirement already satisfied: pyyaml==6.0.1 in /home/ec2-user/.local/lib/python3.9/site-packages (6.0.1) 2024-08-20T21:38:25.5414622Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2024-08-20T21:38:25.5418826Z 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) 2024-08-20T21:38:25.5428077Z 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) 2024-08-20T21:38:25.5433637Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2024-08-20T21:38:26.2500593Z Command completed after 1 attempt(s). 2024-08-20T21:38:26.2551149Z ##[group]Run set -x 2024-08-20T21:38:26.2551465Z set -x 2024-08-20T21:38:26.2551738Z  2024-08-20T21:38:26.2552642Z # Use relative path here as this could be checked out anywhere, not necessarily 2024-08-20T21:38:26.2553327Z # in runner workspace 2024-08-20T21:38:26.2553853Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2024-08-20T21:38:26.2559697Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:38:26.2560171Z env: 2024-08-20T21:38:26.2560430Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:38:26.2560816Z ##[endgroup] 2024-08-20T21:38:26.2584950Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2024-08-20T21:38:26.2824938Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2024-08-20T21:38:26.2825631Z echo "Workflow: ${GITHUB_WORKFLOW}" 2024-08-20T21:38:26.2826439Z echo "Job name: ${JOB_NAME}" 2024-08-20T21:38:26.2826811Z  2024-08-20T21:38:26.2827354Z # Use relative path here as this could be checked out anywhere, not necessarily 2024-08-20T21:38:26.2828058Z # in runner workspace 2024-08-20T21:38:26.2828622Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2024-08-20T21:38:26.2829268Z  --workflow "${GITHUB_WORKFLOW}" \ 2024-08-20T21:38:26.2829710Z  --job-name "${JOB_NAME}" \ 2024-08-20T21:38:26.2832299Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 3, "num_shards": 3, "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"}]}" \ 2024-08-20T21:38:26.2834891Z  --selected-test-configs "" \ 2024-08-20T21:38:26.2835330Z  --pr-number "${PR_NUMBER}" \ 2024-08-20T21:38:26.2835723Z  --tag "${TAG}" \ 2024-08-20T21:38:26.2836098Z  --event-name "${EVENT_NAME}" \ 2024-08-20T21:38:26.2836532Z  --schedule "${SCHEDULE}" \ 2024-08-20T21:38:26.2836929Z  --branch "${HEAD_BRANCH}" 2024-08-20T21:38:26.2842796Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:38:26.2843289Z env: 2024-08-20T21:38:26.2843530Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:38:26.2844065Z GITHUB_TOKEN: *** 2024-08-20T21:38:26.2844807Z JOB_NAME: linux-focal-py3.12-clang10-experimental-split-build / test (default, 1, 3, amz2023.linux.2xlarge) 2024-08-20T21:38:26.2845627Z PR_NUMBER: 133712 2024-08-20T21:38:26.2845925Z TAG: 2024-08-20T21:38:26.2846184Z EVENT_NAME: pull_request 2024-08-20T21:38:26.2846492Z SCHEDULE: 2024-08-20T21:38:26.2846755Z HEAD_BRANCH: 2024-08-20T21:38:26.2847026Z ##[endgroup] 2024-08-20T21:38:26.2869881Z Workflow: pull 2024-08-20T21:38:26.2871109Z Job name: linux-focal-py3.12-clang10-experimental-split-build / test (default, 1, 3, amz2023.linux.2xlarge) 2024-08-20T21:38:26.5244675Z INFO:root:Found no test-config label on the PR, so all test configs are included 2024-08-20T21:38:26.6712385Z ##[group]Run echo "Filtered matrix:" 2024-08-20T21:38:26.6712824Z echo "Filtered matrix:" 2024-08-20T21:38:26.6715336Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "amz2023.linux.2xlarge"}, {"config": "default", "shard": 3, "num_shards": 3, "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"}]}" 2024-08-20T21:38:26.6717819Z  2024-08-20T21:38:26.6718058Z echo 2024-08-20T21:38:26.6718416Z echo "Is the current job unstable? False" 2024-08-20T21:38:26.6718863Z  2024-08-20T21:38:26.6719099Z echo 2024-08-20T21:38:26.6719448Z echo "Is keep-going label set? False" 2024-08-20T21:38:26.6719877Z  2024-08-20T21:38:26.6720111Z echo 2024-08-20T21:38:26.6720407Z echo "Renabled issues? " 2024-08-20T21:38:26.6726579Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:38:26.6727068Z env: 2024-08-20T21:38:26.6727336Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:38:26.6727673Z ##[endgroup] 2024-08-20T21:38:26.6750417Z Filtered matrix: 2024-08-20T21:38:26.6753913Z {include: [{config: default, shard: 1, num_shards: 3, runner: amz2023.linux.2xlarge}, {config: default, shard: 2, num_shards: 3, runner: amz2023.linux.2xlarge}, {config: default, shard: 3, num_shards: 3, 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}]} 2024-08-20T21:38:26.6756234Z 2024-08-20T21:38:26.6756392Z Is the current job unstable? False 2024-08-20T21:38:26.6756675Z 2024-08-20T21:38:26.6757012Z Is keep-going label set? False 2024-08-20T21:38:26.6757262Z 2024-08-20T21:38:26.6757370Z Renabled issues? 2024-08-20T21:38:26.6800888Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2024-08-20T21:38:26.6801611Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2024-08-20T21:38:26.6807030Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T21:38:26.6807508Z env: 2024-08-20T21:38:26.6807765Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:38:26.6808099Z JOB_TIMEOUT: 600 2024-08-20T21:38:26.6808373Z ##[endgroup] 2024-08-20T21:38:26.6884749Z ##[group]Run set -x 2024-08-20T21:38:26.6885140Z set -x 2024-08-20T21:38:26.6885413Z  2024-08-20T21:38:26.6885744Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2024-08-20T21:38:26.6886274Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2024-08-20T21:38:26.6886821Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2024-08-20T21:38:26.6887333Z  TEST_COMMAND=.ci/onnx/test.sh 2024-08-20T21:38:26.6887723Z else 2024-08-20T21:38:26.6888038Z  TEST_COMMAND=.ci/pytorch/test.sh 2024-08-20T21:38:26.6888442Z fi 2024-08-20T21:38:26.6888682Z  2024-08-20T21:38:26.6889131Z # detached container should get cleaned up by teardown_ec2_linux 2024-08-20T21:38:26.6889893Z # TODO: Stop building test binaries as part of the build phase 2024-08-20T21:38:26.6890559Z # Used for GPU_FLAG since that doesn't play nice 2024-08-20T21:38:26.6891147Z # shellcheck disable=SC2086,SC2090 2024-08-20T21:38:26.6891588Z container_name=$(docker run \ 2024-08-20T21:38:26.6891994Z  ${GPU_FLAG:-} \ 2024-08-20T21:38:26.6892343Z  -e BUILD_ENVIRONMENT \ 2024-08-20T21:38:26.6892712Z  -e PR_NUMBER \ 2024-08-20T21:38:26.6893053Z  -e GITHUB_ACTIONS \ 2024-08-20T21:38:26.6893558Z  -e GITHUB_REPOSITORY \ 2024-08-20T21:38:26.6893934Z  -e GITHUB_WORKFLOW \ 2024-08-20T21:38:26.6894301Z  -e GITHUB_JOB \ 2024-08-20T21:38:26.6894642Z  -e GITHUB_RUN_ID \ 2024-08-20T21:38:26.6895012Z  -e GITHUB_RUN_NUMBER \ 2024-08-20T21:38:26.6895388Z  -e GITHUB_RUN_ATTEMPT \ 2024-08-20T21:38:26.6895765Z  -e JOB_ID \ 2024-08-20T21:38:26.6896081Z  -e JOB_NAME \ 2024-08-20T21:38:26.6896398Z  -e BASE_SHA \ 2024-08-20T21:38:26.6896719Z  -e BRANCH \ 2024-08-20T21:38:26.6897032Z  -e SHA1 \ 2024-08-20T21:38:26.6897344Z  -e AWS_DEFAULT_REGION \ 2024-08-20T21:38:26.6897728Z  -e IN_WHEEL_TEST \ 2024-08-20T21:38:26.6898086Z  -e SHARD_NUMBER \ 2024-08-20T21:38:26.6898423Z  -e TEST_CONFIG \ 2024-08-20T21:38:26.6898831Z  -e NUM_TEST_SHARDS \ 2024-08-20T21:38:26.6899208Z  -e REENABLED_ISSUES \ 2024-08-20T21:38:26.6899596Z  -e CONTINUE_THROUGH_ERROR \ 2024-08-20T21:38:26.6900124Z  -e VERBOSE_TEST_LOGS \ 2024-08-20T21:38:26.6900507Z  -e TEST_SHOWLOCALS \ 2024-08-20T21:38:26.6900864Z  -e NO_TEST_TIMEOUT \ 2024-08-20T21:38:26.6901219Z  -e NO_TD \ 2024-08-20T21:38:26.6901560Z  -e TD_DISTRIBUTED \ 2024-08-20T21:38:26.6901910Z  -e PR_LABELS \ 2024-08-20T21:38:26.6902297Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2024-08-20T21:38:26.6902735Z  -e SCCACHE_BUCKET \ 2024-08-20T21:38:26.6903097Z  -e SCCACHE_S3_KEY_PREFIX \ 2024-08-20T21:38:26.6903491Z  -e XLA_CUDA \ 2024-08-20T21:38:26.6903874Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2024-08-20T21:38:26.6904353Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2024-08-20T21:38:26.6904862Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2024-08-20T21:38:26.6905366Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2024-08-20T21:38:26.6905815Z  -e HUGGING_FACE_HUB_TOKEN \ 2024-08-20T21:38:26.6906249Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2024-08-20T21:38:26.6906676Z  -e DASHBOARD_TAG \ 2024-08-20T21:38:26.6907124Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2024-08-20T21:38:26.6907664Z  --security-opt seccomp=unconfined \ 2024-08-20T21:38:26.6908114Z  --cap-add=SYS_PTRACE \ 2024-08-20T21:38:26.6908486Z  --ipc=host \ 2024-08-20T21:38:26.6908807Z  --shm-size="${SHM_SIZE}" \ 2024-08-20T21:38:26.6909188Z  --tty \ 2024-08-20T21:38:26.6909475Z  --detach \ 2024-08-20T21:38:26.6909910Z  --name="${container_name}" \ 2024-08-20T21:38:26.6910319Z  --user jenkins \ 2024-08-20T21:38:26.6910788Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2024-08-20T21:38:26.6911329Z  -w /var/lib/jenkins/workspace \ 2024-08-20T21:38:26.6911754Z  "${DOCKER_IMAGE}" 2024-08-20T21:38:26.6912093Z ) 2024-08-20T21:38:26.6912464Z # Propagate download.pytorch.org IP to container 2024-08-20T21:38:26.6913412Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2024-08-20T21:38:26.6914411Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2024-08-20T21:38:26.6915332Z docker exec -t "${container_name}" sh -c "pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2024-08-20T21:38:26.6920851Z shell: /usr/bin/bash -e {0} 2024-08-20T21:38:26.6921184Z env: 2024-08-20T21:38:26.6921429Z GIT_DEFAULT_BRANCH: main 2024-08-20T21:38:26.6921993Z BUILD_ENVIRONMENT: linux-focal-py3.12-clang10-experimental-split-build 2024-08-20T21:38:26.6922599Z PR_NUMBER: 133712 2024-08-20T21:38:26.6922926Z GITHUB_REPOSITORY: pytorch/pytorch 2024-08-20T21:38:26.6923311Z GITHUB_WORKFLOW: pull 2024-08-20T21:38:26.6923620Z GITHUB_JOB: test 2024-08-20T21:38:26.6923915Z GITHUB_RUN_ID: 10479309237 2024-08-20T21:38:26.6924334Z GITHUB_RUN_NUMBER: 238988 2024-08-20T21:38:26.6924671Z GITHUB_RUN_ATTEMPT: 1 2024-08-20T21:38:26.6924980Z JOB_ID: 29025337481 2024-08-20T21:38:26.6925931Z JOB_NAME: linux-focal-py3.12-clang10-experimental-split-build / test (default, 1, 3, amz2023.linux.2xlarge) 2024-08-20T21:38:26.6926771Z BRANCH: pull/133712 2024-08-20T21:38:26.6927140Z SHA1: 40ec5f6ddd9787aca0449b24128343ff4c4a88b3 2024-08-20T21:38:26.6927638Z BASE_SHA: 91f3d614142df02f619e44a68e3d9e0dfeba49ec 2024-08-20T21:38:26.6928088Z TEST_CONFIG: default 2024-08-20T21:38:26.6928392Z SHARD_NUMBER: 1 2024-08-20T21:38:26.6928665Z NUM_TEST_SHARDS: 3 2024-08-20T21:38:26.6928973Z REENABLED_ISSUES: 2024-08-20T21:38:26.6929292Z CONTINUE_THROUGH_ERROR: False 2024-08-20T21:38:26.6929647Z VERBOSE_TEST_LOGS: False 2024-08-20T21:38:26.6929980Z TEST_SHOWLOCALS: False 2024-08-20T21:38:26.6930306Z NO_TEST_TIMEOUT: False 2024-08-20T21:38:26.6930603Z NO_TD: False 2024-08-20T21:38:26.6930881Z TD_DISTRIBUTED: False 2024-08-20T21:38:26.6931287Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2024-08-20T21:38:26.6931754Z SCCACHE_S3_KEY_PREFIX: pull 2024-08-20T21:38:26.6932096Z SHM_SIZE: 1g 2024-08-20T21:38:26.6933003Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:38:26.6934002Z XLA_CUDA: 2024-08-20T21:38:26.6934471Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2024-08-20T21:38:26.6935089Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2024-08-20T21:38:26.6935492Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2024-08-20T21:38:26.6935885Z DASHBOARD_TAG: 2024-08-20T21:38:26.6936182Z HUGGING_FACE_HUB_TOKEN: 2024-08-20T21:38:26.6936512Z SCRIBE_GRAPHQL_ACCESS_TOKEN: 2024-08-20T21:38:26.6936865Z ##[endgroup] 2024-08-20T21:38:26.6959040Z + [[ default == \m\u\l\t\i\g\p\u ]] 2024-08-20T21:38:26.6959920Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *onnx* ]] 2024-08-20T21:38:26.6960562Z + TEST_COMMAND=.ci/pytorch/test.sh 2024-08-20T21:38:26.6967141Z +++ nproc --ignore=2 2024-08-20T21:38:26.6988437Z ++ 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-py3.12-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T21:38:34.2722688Z + container_name=46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d 2024-08-20T21:38:34.2727484Z + grep download.pytorch.org /etc/hosts 2024-08-20T21:38:34.2729140Z + docker exec -i 46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d sudo bash -c '/bin/cat >> /etc/hosts' 2024-08-20T21:38:34.4080079Z + echo DOCKER_CONTAINER_ID=46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d 2024-08-20T21:38:34.4083580Z ++ echo dist/torch-2.5.0a0+git40ec5f6-cp312-cp312-linux_x86_64.whl dist/torch_no_python-2.5.0a0+git40ec5f6-py3-none-any.whl 2024-08-20T21:38:34.4085934Z + docker exec -t 46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d sh -c 'pip install dist/torch-2.5.0a0+git40ec5f6-cp312-cp312-linux_x86_64.whl dist/torch_no_python-2.5.0a0+git40ec5f6-py3-none-any.whl[opt-einsum] && .ci/pytorch/test.sh' 2024-08-20T21:38:35.3886859Z Processing ./dist/torch-2.5.0a0+git40ec5f6-cp312-cp312-linux_x86_64.whl 2024-08-20T21:38:35.6109273Z Processing ./dist/torch_no_python-2.5.0a0+git40ec5f6-py3-none-any.whl (from torch-no-python==2.5.0a0+git40ec5f6) 2024-08-20T21:38:35.9706460Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.5.0a0+git40ec5f6) (3.13.1) 2024-08-20T21:38:35.9709533Z Requirement already satisfied: typing-extensions>=4.8.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.5.0a0+git40ec5f6) (4.12.2) 2024-08-20T21:38:35.9712636Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.5.0a0+git40ec5f6) (2.8.8) 2024-08-20T21:38:35.9715793Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.5.0a0+git40ec5f6) (3.1.4) 2024-08-20T21:38:35.9718980Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.5.0a0+git40ec5f6) (2024.6.1) 2024-08-20T21:38:35.9731545Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.5.0a0+git40ec5f6) (72.1.0) 2024-08-20T21:38:35.9737465Z Requirement already satisfied: sympy==1.13.1 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.5.0a0+git40ec5f6) (1.13.1) 2024-08-20T21:38:35.9766237Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from sympy==1.13.1->torch==2.5.0a0+git40ec5f6) (1.3.0) 2024-08-20T21:38:35.9785300Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch-no-python==2.5.0a0+git40ec5f6->torch-no-python==2.5.0a0+git40ec5f6) (3.3.0) 2024-08-20T21:38:35.9803671Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from opt-einsum>=3.3->torch-no-python==2.5.0a0+git40ec5f6->torch-no-python==2.5.0a0+git40ec5f6) (1.26.0) 2024-08-20T21:38:35.9908376Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from jinja2->torch==2.5.0a0+git40ec5f6) (2.1.5) 2024-08-20T21:38:36.2383020Z Installing collected packages: torch-no-python, torch 2024-08-20T21:38:46.5309247Z Successfully installed torch-2.5.0a0+git40ec5f6 torch-no-python-2.5.0a0+git40ec5f6 2024-08-20T21:38:46.6115992Z + export TERM=vt100 2024-08-20T21:38:46.6116330Z + TERM=vt100 2024-08-20T21:38:46.6117708Z ++ dirname .ci/pytorch/test.sh 2024-08-20T21:38:46.6136724Z + source .ci/pytorch/common.sh 2024-08-20T21:38:46.6144655Z +++ dirname .ci/pytorch/common.sh 2024-08-20T21:38:46.6150364Z ++ source .ci/pytorch/common_utils.sh 2024-08-20T21:38:46.6161480Z +++ declare -f -t trap_add 2024-08-20T21:38:46.6167372Z ++ set -ex 2024-08-20T21:38:46.6168016Z ++ [[ linux-focal-py3.12-clang10-experimental-split-build == *rocm* ]] 2024-08-20T21:38:46.6168771Z ++ BUILD_TEST_LIBTORCH=0 2024-08-20T21:38:46.6169494Z + [[ linux-focal-py3.12-clang10-experimental-split-build != *rocm* ]] 2024-08-20T21:38:46.6172056Z ++ stat -c %u /var/lib/jenkins/workspace 2024-08-20T21:38:46.6211756Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2024-08-20T21:38:46.6212499Z + trap_add cleanup_workspace EXIT 2024-08-20T21:38:46.6212896Z + trap_add_cmd=cleanup_workspace 2024-08-20T21:38:46.6213252Z + shift 2024-08-20T21:38:46.6213551Z + for trap_add_name in "$@" 2024-08-20T21:38:46.6218475Z +++ trap -p EXIT 2024-08-20T21:38:46.6221141Z ++ eval 'extract_trap_cmd ' 2024-08-20T21:38:46.6221844Z +++ extract_trap_cmd 2024-08-20T21:38:46.6222288Z +++ printf '%s\n' '' 2024-08-20T21:38:46.6222993Z ++ printf '%s\n' cleanup_workspace 2024-08-20T21:38:46.6224184Z + trap -- ' 2024-08-20T21:38:46.6224525Z cleanup_workspace' EXIT 2024-08-20T21:38:46.6225027Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2024-08-20T21:38:47.1258035Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2024-08-20T21:38:47.1276523Z + echo 'Environment variables:' 2024-08-20T21:38:47.1276946Z Environment variables: 2024-08-20T21:38:47.1288322Z + env 2024-08-20T21:38:47.1296266Z INSTALLED_DB=yes 2024-08-20T21:38:47.1297403Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-08-20T21:38:47.1298328Z CONTINUE_THROUGH_ERROR=False 2024-08-20T21:38:47.1299376Z BUILD_ENVIRONMENT=linux-focal-py3.12-clang10-experimental-split-build 2024-08-20T21:38:47.1300256Z HOSTNAME=46d9149ea592 2024-08-20T21:38:47.1301137Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_51d54154-921c-4770-b163-84d708e0a280 2024-08-20T21:38:47.1302097Z GITHUB_ACTION=__self 2024-08-20T21:38:47.1302438Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2024-08-20T21:38:47.1302844Z GITHUB_RUN_NUMBER=238988 2024-08-20T21:38:47.1303182Z TEST_CONFIG=default 2024-08-20T21:38:47.1303546Z GITHUB_REPOSITORY_OWNER_ID=21003710 2024-08-20T21:38:47.1304082Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2024-08-20T21:38:47.1304502Z SCRIBE_GRAPHQL_ACCESS_TOKEN= 2024-08-20T21:38:47.1304943Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2024-08-20T21:38:47.1305342Z GITHUB_REF_TYPE=branch 2024-08-20T21:38:47.1305725Z TORCH_CUDA_ARCH_LIST=Maxwell 2024-08-20T21:38:47.1306129Z BASE_SHA=91f3d614142df02f619e44a68e3d9e0dfeba49ec 2024-08-20T21:38:47.1306613Z XLA_CUDA= 2024-08-20T21:38:47.1306880Z HUGGING_FACE_HUB_TOKEN= 2024-08-20T21:38:47.1308726Z *** 2024-08-20T21:38:47.1308990Z GITHUB_REPOSITORY_ID=65600975 2024-08-20T21:38:47.1309399Z GITHUB_ACTIONS=true 2024-08-20T21:38:47.1309765Z SHA1=40ec5f6ddd9787aca0449b24128343ff4c4a88b3 2024-08-20T21:38:47.1310322Z GITHUB_SHA=f2fb9405c2fa9f9502a76363091cce6fd8179736 2024-08-20T21:38:47.1311104Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/pull/133712/merge 2024-08-20T21:38:47.1311803Z UCC_HOME=/usr 2024-08-20T21:38:47.1312070Z VERBOSE_TEST_LOGS=False 2024-08-20T21:38:47.1312445Z GITHUB_REF=refs/pull/133712/merge 2024-08-20T21:38:47.1312826Z SHARD_NUMBER=1 2024-08-20T21:38:47.1313100Z GITHUB_REF_PROTECTED=false 2024-08-20T21:38:47.1313489Z HOME=/var/lib/jenkins 2024-08-20T21:38:47.1313833Z GITHUB_API_URL=https://api.github.com 2024-08-20T21:38:47.1314307Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2024-08-20T21:38:47.1314702Z UCX_COMMIT= 2024-08-20T21:38:47.1315006Z SCCACHE_S3_KEY_PREFIX=pull 2024-08-20T21:38:47.1315320Z NUM_TEST_SHARDS=3 2024-08-20T21:38:47.1315601Z UCX_HOME=/usr 2024-08-20T21:38:47.1316554Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_51d54154-921c-4770-b163-84d708e0a280 2024-08-20T21:38:47.1318156Z JOB_NAME=linux-focal-py3.12-clang10-experimental-split-build / test (default, 1, 3, amz2023.linux.2xlarge) 2024-08-20T21:38:47.1319615Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_51d54154-921c-4770-b163-84d708e0a280 2024-08-20T21:38:47.1320791Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2024-08-20T21:38:47.1321479Z GITHUB_EVENT_NAME=pull_request 2024-08-20T21:38:47.1321821Z DASHBOARD_TAG= 2024-08-20T21:38:47.1322108Z GITHUB_RUN_ID=10479309237 2024-08-20T21:38:47.1323114Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_51d54154-921c-4770-b163-84d708e0a280 2024-08-20T21:38:47.1324016Z GITHUB_ACTOR=pytorchmergebot 2024-08-20T21:38:47.1324369Z PR_NUMBER=133712 2024-08-20T21:38:47.1324656Z DESIRED_CUDA= 2024-08-20T21:38:47.1324925Z GITHUB_RUN_ATTEMPT=1 2024-08-20T21:38:47.1325248Z ANACONDA_PYTHON_VERSION=3.12 2024-08-20T21:38:47.1325847Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2024-08-20T21:38:47.1326306Z TERM=vt100 2024-08-20T21:38:47.1326579Z INSTALLED_VISION=yes 2024-08-20T21:38:47.1326892Z BRANCH=pull/133712 2024-08-20T21:38:47.1327192Z OPENSSL_ROOT_DIR=/opt/openssl 2024-08-20T21:38:47.1327556Z CUDA_PATH=/usr/local/cuda 2024-08-20T21:38:47.1328348Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2024-08-20T21:38:47.1329226Z GITHUB_SERVER_URL=https://github.com 2024-08-20T21:38:47.1329622Z UCC_COMMIT= 2024-08-20T21:38:47.1329893Z REENABLED_ISSUES= 2024-08-20T21:38:47.1330221Z DOCS= 2024-08-20T21:38:47.1330471Z INSTALLED_ANDROID= 2024-08-20T21:38:47.1330742Z SHLVL=1 2024-08-20T21:38:47.1330987Z MAX_JOBS=6 2024-08-20T21:38:47.1331254Z GITHUB_ACTOR_ID=97764156 2024-08-20T21:38:47.1331694Z GITHUB_WORKFLOW_SHA=f2fb9405c2fa9f9502a76363091cce6fd8179736 2024-08-20T21:38:47.1332233Z GITHUB_REF_NAME=133712/merge 2024-08-20T21:38:47.1332855Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2024-08-20T21:38:47.1333441Z GITHUB_JOB=test 2024-08-20T21:38:47.1333726Z NO_TEST_TIMEOUT=False 2024-08-20T21:38:47.1334041Z TD_DISTRIBUTED=False 2024-08-20T21:38:47.1334376Z GITHUB_REPOSITORY=pytorch/pytorch 2024-08-20T21:38:47.1334753Z GITHUB_RETENTION_DAYS=90 2024-08-20T21:38:47.1335090Z OPENSSL_DIR=/opt/openssl 2024-08-20T21:38:47.1335428Z GITHUB_ACTION_REPOSITORY= 2024-08-20T21:38:47.1336508Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.12/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-08-20T21:38:47.1337661Z GITHUB_BASE_REF=gh/XuehaiPan/146/base 2024-08-20T21:38:47.1338059Z INSTALLED_ACL= 2024-08-20T21:38:47.1338317Z CI=true 2024-08-20T21:38:47.1338588Z GITHUB_REPOSITORY_OWNER=pytorch 2024-08-20T21:38:47.1338954Z JOB_ID=29025337481 2024-08-20T21:38:47.1339239Z INSTALLED_PROTOBUF=yes 2024-08-20T21:38:47.1339582Z GITHUB_HEAD_REF=gh/XuehaiPan/146/head 2024-08-20T21:38:47.1340060Z GITHUB_ACTION_REF= 2024-08-20T21:38:47.1340491Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2024-08-20T21:38:47.1340968Z TEST_SHOWLOCALS=False 2024-08-20T21:38:47.1341283Z GITHUB_WORKFLOW=pull 2024-08-20T21:38:47.1341601Z DEBIAN_FRONTEND=noninteractive 2024-08-20T21:38:47.1342551Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_51d54154-921c-4770-b163-84d708e0a280 2024-08-20T21:38:47.1343448Z NO_TD=False 2024-08-20T21:38:47.1343740Z SKIP_SCCACHE_INITIALIZATION=1 2024-08-20T21:38:47.1344092Z _=/usr/bin/env 2024-08-20T21:38:47.1344566Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2024-08-20T21:38:47.1471192Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch 2024-08-20T21:38:47.1472442Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-08-20T21:38:47.1473759Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib 2024-08-20T21:38:47.1475143Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/test 2024-08-20T21:38:47.1475767Z + BUILD_DIR=build 2024-08-20T21:38:47.1476286Z + BUILD_RENAMED_DIR=build_renamed 2024-08-20T21:38:47.1476677Z + BUILD_BIN_DIR=build/bin 2024-08-20T21:38:47.1477036Z + SHARD_NUMBER=1 2024-08-20T21:38:47.1477434Z + NUM_TEST_SHARDS=3 2024-08-20T21:38:47.1477762Z + export VALGRIND=ON 2024-08-20T21:38:47.1478160Z + VALGRIND=ON 2024-08-20T21:38:47.1479100Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *clang9* ]] 2024-08-20T21:38:47.1479701Z + [[ 0 == \1 ]] 2024-08-20T21:38:47.1479987Z + [[ False == \1 ]] 2024-08-20T21:38:47.1480575Z + [[ linux-focal-py3.12-clang10-experimental-split-build != *bazel* ]] 2024-08-20T21:38:47.1481209Z ++ realpath build/custom_test_artifacts 2024-08-20T21:38:47.1495339Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2024-08-20T21:38:47.1496179Z + [[ -n '' ]] 2024-08-20T21:38:47.1496524Z + echo 'Environment variables' 2024-08-20T21:38:47.1496885Z Environment variables 2024-08-20T21:38:47.1497186Z + env 2024-08-20T21:38:47.1503540Z INSTALLED_DB=yes 2024-08-20T21:38:47.1504520Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-08-20T21:38:47.1505485Z CONTINUE_THROUGH_ERROR=False 2024-08-20T21:38:47.1506360Z BUILD_ENVIRONMENT=linux-focal-py3.12-clang10-experimental-split-build 2024-08-20T21:38:47.1507002Z HOSTNAME=46d9149ea592 2024-08-20T21:38:47.1507883Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_51d54154-921c-4770-b163-84d708e0a280 2024-08-20T21:38:47.1508952Z GITHUB_ACTION=__self 2024-08-20T21:38:47.1509499Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2024-08-20T21:38:47.1509906Z GITHUB_RUN_NUMBER=238988 2024-08-20T21:38:47.1510238Z TEST_CONFIG=default 2024-08-20T21:38:47.1510553Z GITHUB_REPOSITORY_OWNER_ID=21003710 2024-08-20T21:38:47.1511040Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2024-08-20T21:38:47.1511461Z SCRIBE_GRAPHQL_ACCESS_TOKEN= 2024-08-20T21:38:47.1511836Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2024-08-20T21:38:47.1512273Z GITHUB_REF_TYPE=branch 2024-08-20T21:38:47.1512767Z TORCH_CUDA_ARCH_LIST=Maxwell 2024-08-20T21:38:47.1513169Z BASE_SHA=91f3d614142df02f619e44a68e3d9e0dfeba49ec 2024-08-20T21:38:47.1513610Z XLA_CUDA= 2024-08-20T21:38:47.1513877Z HUGGING_FACE_HUB_TOKEN= 2024-08-20T21:38:47.1514288Z *** 2024-08-20T21:38:47.1514536Z GITHUB_REPOSITORY_ID=65600975 2024-08-20T21:38:47.1514897Z GITHUB_ACTIONS=true 2024-08-20T21:38:47.1515261Z SHA1=40ec5f6ddd9787aca0449b24128343ff4c4a88b3 2024-08-20T21:38:47.1515924Z GITHUB_SHA=f2fb9405c2fa9f9502a76363091cce6fd8179736 2024-08-20T21:38:47.1516653Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/pull/133712/merge 2024-08-20T21:38:47.1517303Z UCC_HOME=/usr 2024-08-20T21:38:47.1517571Z VERBOSE_TEST_LOGS=False 2024-08-20T21:38:47.1517906Z GITHUB_REF=refs/pull/133712/merge 2024-08-20T21:38:47.1518268Z SHARD_NUMBER=1 2024-08-20T21:38:47.1518549Z GITHUB_REF_PROTECTED=false 2024-08-20T21:38:47.1518884Z HOME=/var/lib/jenkins 2024-08-20T21:38:47.1519233Z GITHUB_API_URL=https://api.github.com 2024-08-20T21:38:47.1519660Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2024-08-20T21:38:47.1520179Z UCX_COMMIT= 2024-08-20T21:38:47.1520479Z SCCACHE_S3_KEY_PREFIX=pull 2024-08-20T21:38:47.1520803Z NUM_TEST_SHARDS=3 2024-08-20T21:38:47.1521089Z UCX_HOME=/usr 2024-08-20T21:38:47.1521982Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_51d54154-921c-4770-b163-84d708e0a280 2024-08-20T21:38:47.1523359Z JOB_NAME=linux-focal-py3.12-clang10-experimental-split-build / test (default, 1, 3, amz2023.linux.2xlarge) 2024-08-20T21:38:47.1524779Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_51d54154-921c-4770-b163-84d708e0a280 2024-08-20T21:38:47.1526366Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2024-08-20T21:38:47.1527043Z GITHUB_EVENT_NAME=pull_request 2024-08-20T21:38:47.1527407Z DASHBOARD_TAG= 2024-08-20T21:38:47.1527698Z GITHUB_RUN_ID=10479309237 2024-08-20T21:38:47.1529076Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_51d54154-921c-4770-b163-84d708e0a280 2024-08-20T21:38:47.1530007Z GITHUB_ACTOR=pytorchmergebot 2024-08-20T21:38:47.1530365Z PR_NUMBER=133712 2024-08-20T21:38:47.1530644Z DESIRED_CUDA= 2024-08-20T21:38:47.1530927Z GITHUB_RUN_ATTEMPT=1 2024-08-20T21:38:47.1531228Z VALGRIND=ON 2024-08-20T21:38:47.1531498Z ANACONDA_PYTHON_VERSION=3.12 2024-08-20T21:38:47.1531943Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2024-08-20T21:38:47.1532431Z TERM=vt100 2024-08-20T21:38:47.1532697Z INSTALLED_VISION=yes 2024-08-20T21:38:47.1532996Z BRANCH=pull/133712 2024-08-20T21:38:47.1533474Z OPENSSL_ROOT_DIR=/opt/openssl 2024-08-20T21:38:47.1533849Z CUDA_PATH=/usr/local/cuda 2024-08-20T21:38:47.1534650Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2024-08-20T21:38:47.1535432Z GITHUB_SERVER_URL=https://github.com 2024-08-20T21:38:47.1535826Z UCC_COMMIT= 2024-08-20T21:38:47.1536116Z REENABLED_ISSUES= 2024-08-20T21:38:47.1536573Z DOCS= 2024-08-20T21:38:47.1536853Z INSTALLED_ANDROID= 2024-08-20T21:38:47.1537125Z SHLVL=1 2024-08-20T21:38:47.1537366Z MAX_JOBS=6 2024-08-20T21:38:47.1537627Z GITHUB_ACTOR_ID=97764156 2024-08-20T21:38:47.1538081Z GITHUB_WORKFLOW_SHA=f2fb9405c2fa9f9502a76363091cce6fd8179736 2024-08-20T21:38:47.1538595Z GITHUB_REF_NAME=133712/merge 2024-08-20T21:38:47.1539212Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2024-08-20T21:38:47.1540001Z GITHUB_JOB=test 2024-08-20T21:38:47.1540294Z NO_TEST_TIMEOUT=False 2024-08-20T21:38:47.1540600Z TD_DISTRIBUTED=False 2024-08-20T21:38:47.1540938Z GITHUB_REPOSITORY=pytorch/pytorch 2024-08-20T21:38:47.1541328Z GITHUB_RETENTION_DAYS=90 2024-08-20T21:38:47.1541655Z OPENSSL_DIR=/opt/openssl 2024-08-20T21:38:47.1541994Z GITHUB_ACTION_REPOSITORY= 2024-08-20T21:38:47.1543078Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.12/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-08-20T21:38:47.1544234Z GITHUB_BASE_REF=gh/XuehaiPan/146/base 2024-08-20T21:38:47.1544620Z INSTALLED_ACL= 2024-08-20T21:38:47.1544950Z CI=true 2024-08-20T21:38:47.1545224Z GITHUB_REPOSITORY_OWNER=pytorch 2024-08-20T21:38:47.1545574Z JOB_ID=29025337481 2024-08-20T21:38:47.1545874Z INSTALLED_PROTOBUF=yes 2024-08-20T21:38:47.1546218Z GITHUB_HEAD_REF=gh/XuehaiPan/146/head 2024-08-20T21:38:47.1546750Z GITHUB_ACTION_REF= 2024-08-20T21:38:47.1547233Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2024-08-20T21:38:47.1547707Z TEST_SHOWLOCALS=False 2024-08-20T21:38:47.1548013Z GITHUB_WORKFLOW=pull 2024-08-20T21:38:47.1548346Z DEBIAN_FRONTEND=noninteractive 2024-08-20T21:38:47.1549293Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_51d54154-921c-4770-b163-84d708e0a280 2024-08-20T21:38:47.1550124Z NO_TD=False 2024-08-20T21:38:47.1550414Z SKIP_SCCACHE_INITIALIZATION=1 2024-08-20T21:38:47.1550766Z _=/usr/bin/env 2024-08-20T21:38:47.1551082Z + echo 'Testing pytorch' 2024-08-20T21:38:47.1551410Z Testing pytorch 2024-08-20T21:38:47.1551726Z + export LANG=C.UTF-8 2024-08-20T21:38:47.1552035Z + LANG=C.UTF-8 2024-08-20T21:38:47.1571444Z + PR_NUMBER=133712 2024-08-20T21:38:47.1572018Z + [[ default == \d\e\f\a\u\l\t ]] 2024-08-20T21:38:47.1572690Z + export CUDA_VISIBLE_DEVICES=0 2024-08-20T21:38:47.1573373Z + CUDA_VISIBLE_DEVICES=0 2024-08-20T21:38:47.1573987Z + export HIP_VISIBLE_DEVICES=0 2024-08-20T21:38:47.1574592Z + HIP_VISIBLE_DEVICES=0 2024-08-20T21:38:47.1575248Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]] 2024-08-20T21:38:47.1575940Z + [[ default == \s\l\o\w ]] 2024-08-20T21:38:47.1577142Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *slow-gradcheck* ]] 2024-08-20T21:38:47.1578297Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *cuda* ]] 2024-08-20T21:38:47.1579170Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *rocm* ]] 2024-08-20T21:38:47.1580097Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *xpu* ]] 2024-08-20T21:38:47.1580707Z + [[ default == *crossref* ]] 2024-08-20T21:38:47.1581465Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *rocm* ]] 2024-08-20T21:38:47.1582321Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *xpu* ]] 2024-08-20T21:38:47.1583213Z + [[ linux-focal-py3.12-clang10-experimental-split-build != *-bazel-* ]] 2024-08-20T21:38:47.1583896Z + pip_install --user ninja==1.10.2 2024-08-20T21:38:47.1584427Z + pip install --progress-bar off --user ninja==1.10.2 2024-08-20T21:38:47.6444202Z Collecting ninja==1.10.2 2024-08-20T21:38:47.6657532Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2024-08-20T21:38:47.6769582Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2024-08-20T21:38:47.8349862Z Installing collected packages: ninja 2024-08-20T21:38:47.8432178Z  WARNING: The script ninja is installed in '/var/lib/jenkins/.local/bin' which is not on PATH. 2024-08-20T21:38:47.8433551Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2024-08-20T21:38:47.8488329Z Successfully installed ninja-1.10.2 2024-08-20T21:38:47.9174739Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.12/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-08-20T21:38:47.9177312Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.12/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-08-20T21:38:47.9179021Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *aarch64* ]] 2024-08-20T21:38:47.9179652Z + install_tlparse 2024-08-20T21:38:47.9180111Z + pip_install --user tlparse==0.3.25 2024-08-20T21:38:47.9180654Z + pip install --progress-bar off --user tlparse==0.3.25 2024-08-20T21:38:48.3084107Z Collecting tlparse==0.3.25 2024-08-20T21:38:48.3269422Z Downloading tlparse-0.3.25-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.7 kB) 2024-08-20T21:38:48.3390422Z Downloading tlparse-0.3.25-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB) 2024-08-20T21:38:48.5478845Z Installing collected packages: tlparse 2024-08-20T21:38:48.5830916Z Successfully installed tlparse-0.3.25 2024-08-20T21:38:48.6684985Z ++ python -m site --user-base 2024-08-20T21:38:48.6869836Z + 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_3.12/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2024-08-20T21:38:48.6872281Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *asan* ]] 2024-08-20T21:38:48.6873188Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *-debug* ]] 2024-08-20T21:38:48.6874429Z + [[ linux-focal-py3.12-clang10-experimental-split-build != *-bazel-* ]] 2024-08-20T21:38:48.6875684Z + echo 'We are not in debug mode: linux-focal-py3.12-clang10-experimental-split-build. Expect the assertion to pass' 2024-08-20T21:38:48.6877182Z We are not in debug mode: linux-focal-py3.12-clang10-experimental-split-build. Expect the assertion to pass 2024-08-20T21:38:48.6878024Z + cd test 2024-08-20T21:38:48.6878549Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2024-08-20T21:38:50.6001832Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2024-08-20T21:38:50.6002739Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2024-08-20T21:38:50.6006705Z + DYNAMO_BENCHMARK_FLAGS=() 2024-08-20T21:38:50.6007880Z + [[ default == *pr_time_benchmarks* ]] 2024-08-20T21:38:50.6008558Z + [[ default == *dynamo_eager* ]] 2024-08-20T21:38:50.6008940Z + [[ default == *aot_eager* ]] 2024-08-20T21:38:50.6009319Z + [[ default == *aot_inductor* ]] 2024-08-20T21:38:50.6009713Z + [[ default == *inductor* ]] 2024-08-20T21:38:50.6010070Z + [[ default == *dynamic* ]] 2024-08-20T21:38:50.6010416Z + [[ default == *cpu* ]] 2024-08-20T21:38:50.6011039Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2024-08-20T21:38:50.6041559Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *libtorch* ]] 2024-08-20T21:38:50.6042535Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *-bazel-* ]] 2024-08-20T21:38:50.6044176Z + cd test 2024-08-20T21:38:50.6044744Z + python -c 'import torch; print(torch.__config__.show())' 2024-08-20T21:38:51.8828401Z PyTorch built with: 2024-08-20T21:38:51.8829205Z - GCC 4.2 2024-08-20T21:38:51.8829516Z - C++ Version: 201703 2024-08-20T21:38:51.8829892Z - clang 10.0.0 2024-08-20T21:38:51.8830748Z - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications 2024-08-20T21:38:51.8831855Z - Intel(R) MKL-DNN v3.4.2 (Git Hash 1137e04ec0b5251ca2b4400a4fd3c667ce843d67) 2024-08-20T21:38:51.8832531Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2024-08-20T21:38:51.8833040Z - LAPACK is enabled (usually provided by MKL) 2024-08-20T21:38:51.8833504Z - NNPACK is enabled 2024-08-20T21:38:51.8833949Z - CPU capability usage: AVX512 2024-08-20T21:38:51.8842123Z - 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 -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, 2024-08-20T21:38:51.8849981Z 2024-08-20T21:38:52.1955349Z + cd test 2024-08-20T21:38:52.1956105Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2024-08-20T21:38:53.4689301Z ATen/Parallel: 2024-08-20T21:38:53.4689895Z at::get_num_threads() : 4 2024-08-20T21:38:53.4690435Z at::get_num_interop_threads() : 4 2024-08-20T21:38:53.4691062Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2024-08-20T21:38:53.4691636Z omp_get_max_threads() : 4 2024-08-20T21:38:53.4693140Z Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications 2024-08-20T21:38:53.4694379Z mkl_get_max_threads() : 4 2024-08-20T21:38:53.4695393Z Intel(R) MKL-DNN v3.4.2 (Git Hash 1137e04ec0b5251ca2b4400a4fd3c667ce843d67) 2024-08-20T21:38:53.4696313Z std::thread::hardware_concurrency() : 8 2024-08-20T21:38:53.4696923Z Environment variables: 2024-08-20T21:38:53.4697411Z OMP_NUM_THREADS : [not set] 2024-08-20T21:38:53.4697928Z MKL_NUM_THREADS : [not set] 2024-08-20T21:38:53.4698453Z ATen parallel backend: OpenMP 2024-08-20T21:38:53.4698848Z 2024-08-20T21:38:53.7829986Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *aarch64* ]] 2024-08-20T21:38:53.7830928Z + [[ default == *backward* ]] 2024-08-20T21:38:53.7831282Z + [[ default == *xla* ]] 2024-08-20T21:38:53.7831648Z + [[ default == *executorch* ]] 2024-08-20T21:38:53.7832042Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]] 2024-08-20T21:38:53.7832763Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *libtorch* ]] 2024-08-20T21:38:53.7833401Z + [[ default == distributed ]] 2024-08-20T21:38:53.7833798Z + [[ default == *inductor_distributed* ]] 2024-08-20T21:38:53.7834295Z + [[ default == *inductor-halide* ]] 2024-08-20T21:38:53.7835114Z + [[ default == *inductor-micro-benchmark* ]] 2024-08-20T21:38:53.7835578Z + [[ default == *huggingface* ]] 2024-08-20T21:38:53.7835944Z + [[ default == *timm* ]] 2024-08-20T21:38:53.7836287Z + [[ default == *torchbench* ]] 2024-08-20T21:38:53.7836754Z + [[ default == *inductor_cpp_wrapper_abi_compatible* ]] 2024-08-20T21:38:53.7837248Z + [[ default == *inductor* ]] 2024-08-20T21:38:53.7837607Z + [[ default == *dynamo* ]] 2024-08-20T21:38:53.7838234Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *rocm* ]] 2024-08-20T21:38:53.7838809Z + [[ 1 == 1 ]] 2024-08-20T21:38:53.7839111Z + [[ 3 -gt 1 ]] 2024-08-20T21:38:53.7839392Z + test_without_numpy 2024-08-20T21:38:53.7839714Z ++ dirname .ci/pytorch/test.sh 2024-08-20T21:38:53.7844947Z + pushd .ci/pytorch 2024-08-20T21:38:53.7845501Z ~/workspace/.ci/pytorch ~/workspace 2024-08-20T21:38:53.7847313Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');from unittest import TestCase;import torch;x=torch.randn(3,3);TestCase().assertRaises(RuntimeError, lambda: x.numpy())' 2024-08-20T21:38:54.5485022Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_subclasses/functional_tensor.py:271: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2024-08-20T21:38:54.5487283Z cpu = _conversion_method_template(device=torch.device("cpu")) 2024-08-20T21:38:55.2023067Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))' 2024-08-20T21:38:55.9754970Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_subclasses/functional_tensor.py:271: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2024-08-20T21:38:55.9756995Z cpu = _conversion_method_template(device=torch.device("cpu")) 2024-08-20T21:38:56.3302742Z tensor([0., 1.]) 2024-08-20T21:38:56.6360350Z + [[ default == *dynamo* ]] 2024-08-20T21:38:56.6360947Z + popd 2024-08-20T21:38:56.6361186Z ~/workspace 2024-08-20T21:38:56.6361477Z + install_torchvision 2024-08-20T21:38:56.6361801Z + local orig_preload 2024-08-20T21:38:56.6362124Z + local commit 2024-08-20T21:38:56.6363961Z ++ get_pinned_commit vision 2024-08-20T21:38:56.6364732Z ++ cat .github/ci_commit_pins/vision.txt 2024-08-20T21:38:56.6399299Z + commit=d23a6e1664d20707c11781299611436e1f0c104f 2024-08-20T21:38:56.6399989Z + orig_preload= 2024-08-20T21:38:56.6400490Z + '[' -n '' ']' 2024-08-20T21:38:56.6401371Z + pip_install --no-use-pep517 --user git+https://github.com/pytorch/vision.git@d23a6e1664d20707c11781299611436e1f0c104f 2024-08-20T21:38:56.6402921Z + pip install --progress-bar off --no-use-pep517 --user git+https://github.com/pytorch/vision.git@d23a6e1664d20707c11781299611436e1f0c104f 2024-08-20T21:38:56.9966323Z Collecting git+https://github.com/pytorch/vision.git@d23a6e1664d20707c11781299611436e1f0c104f 2024-08-20T21:38:56.9972977Z Cloning https://github.com/pytorch/vision.git (to revision d23a6e1664d20707c11781299611436e1f0c104f) to /tmp/pip-req-build-fq0ku6r9 2024-08-20T21:38:56.9992874Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-fq0ku6r9 2024-08-20T21:38:58.4164861Z Running command git rev-parse -q --verify 'sha^d23a6e1664d20707c11781299611436e1f0c104f' 2024-08-20T21:38:58.4183172Z Running command git fetch -q https://github.com/pytorch/vision.git d23a6e1664d20707c11781299611436e1f0c104f 2024-08-20T21:38:59.7671994Z Running command git checkout -q d23a6e1664d20707c11781299611436e1f0c104f 2024-08-20T21:39:00.0681618Z Resolved https://github.com/pytorch/vision.git to commit d23a6e1664d20707c11781299611436e1f0c104f 2024-08-20T21:39:02.3647892Z Preparing metadata (setup.py) ... [?25l- \ done 2024-08-20T21:39:02.3680107Z [?25hRequirement already satisfied: numpy in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torchvision==0.19.0a0+d23a6e1) (1.26.0) 2024-08-20T21:39:02.3683359Z Requirement already satisfied: torch in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torchvision==0.19.0a0+d23a6e1) (2.5.0a0+git40ec5f6) 2024-08-20T21:39:02.3687976Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torchvision==0.19.0a0+d23a6e1) (10.3.0) 2024-08-20T21:39:02.3736460Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (3.13.1) 2024-08-20T21:39:02.3741185Z Requirement already satisfied: typing-extensions>=4.8.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (4.12.2) 2024-08-20T21:39:02.3743929Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (2.8.8) 2024-08-20T21:39:02.3746858Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (3.1.4) 2024-08-20T21:39:02.3750231Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (2024.6.1) 2024-08-20T21:39:02.3753905Z Requirement already satisfied: torch-no-python==2.5.0a0+git40ec5f6 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (2.5.0a0+git40ec5f6) 2024-08-20T21:39:02.3764313Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (72.1.0) 2024-08-20T21:39:02.3769280Z Requirement already satisfied: sympy==1.13.1 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (1.13.1) 2024-08-20T21:39:02.3782463Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from sympy==1.13.1->torch->torchvision==0.19.0a0+d23a6e1) (1.3.0) 2024-08-20T21:39:02.3909826Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from jinja2->torch->torchvision==0.19.0a0+d23a6e1) (2.1.5) 2024-08-20T21:39:02.4008115Z Building wheels for collected packages: torchvision 2024-08-20T21:40:08.2640230Z Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | done 2024-08-20T21:40:08.2676037Z [?25h Created wheel for torchvision: filename=torchvision-0.19.0a0+d23a6e1-cp312-cp312-linux_x86_64.whl size=1116929 sha256=0e7d550358ea02244f3223c481361ff95f05419e1611e8816893cf7402937d46 2024-08-20T21:40:08.2677860Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/b9/aa/81/39d3509ec629531316195ffac7a7b05ff7603f393064d63ec9 2024-08-20T21:40:08.2710366Z Successfully built torchvision 2024-08-20T21:40:08.3969804Z Installing collected packages: torchvision 2024-08-20T21:40:08.8359730Z Successfully installed torchvision-0.19.0a0+d23a6e1 2024-08-20T21:40:08.9370036Z + '[' -n '' ']' 2024-08-20T21:40:08.9370423Z + test_python_shard 1 2024-08-20T21:40:08.9372670Z + [[ -z 3 ]] 2024-08-20T21:40:08.9373667Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --shard 1 3 --verbose 2024-08-20T21:40:09.0398906Z /var/lib/jenkins/workspace/test/run_test.py:21: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-08-20T21:40:09.0400108Z import pkg_resources 2024-08-20T21:40:11.4062996Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T21:40:12.3728959Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2024-08-20T21:40:12.4218744Z Ignoring disabled issues: [''] 2024-08-20T21:40:12.4331468Z Found test times from artifacts 2024-08-20T21:40:12.4758584Z Found test times from artifacts 2024-08-20T21:40:12.4774130Z Running 25% of tests based on TD 2024-08-20T21:40:12.4974161Z Running parallel tests on 3 processes 2024-08-20T21:40:12.4979283Z Name: tests to run (est. time: 63.24min) 2024-08-20T21:40:12.4979758Z Serial tests (6): 2024-08-20T21:40:12.4980225Z test_ci_sanity_check_fail 1/1 2024-08-20T21:40:12.4980818Z doctests 1/1 2024-08-20T21:40:12.4981287Z inductor/test_max_autotune 1/1 2024-08-20T21:40:12.4982522Z inductor/test_distributed_patterns 1/1 2024-08-20T21:40:12.4983054Z test_utils 1/1 2024-08-20T21:40:12.4983369Z test_nn 1/1 2024-08-20T21:40:12.4983742Z Parallel tests (62): 2024-08-20T21:40:12.4984139Z inductor/test_torchinductor 2/4 2024-08-20T21:40:12.4984621Z inductor/test_torchinductor_opinfo 5/39 2024-08-20T21:40:12.4985099Z inductor/test_torchinductor_opinfo 6/39 2024-08-20T21:40:12.4985801Z inductor/test_torchinductor_opinfo 7/39 2024-08-20T21:40:12.4986614Z inductor/test_torchinductor_opinfo 14/39 2024-08-20T21:40:12.4987350Z inductor/test_torchinductor_opinfo 15/39 2024-08-20T21:40:12.4988214Z inductor/test_torchinductor_opinfo 16/39 2024-08-20T21:40:12.4989092Z inductor/test_torchinductor_opinfo 23/39 2024-08-20T21:40:12.4989751Z inductor/test_torchinductor_opinfo 24/39 2024-08-20T21:40:12.4990698Z inductor/test_torchinductor_opinfo 25/39 2024-08-20T21:40:12.4991494Z inductor/test_torchinductor_opinfo 32/39 2024-08-20T21:40:12.4992236Z inductor/test_torchinductor_opinfo 33/39 2024-08-20T21:40:12.4992908Z inductor/test_torchinductor_opinfo 34/39 2024-08-20T21:40:12.4993636Z inductor/test_torchinductor_dynamic_shapes 2/3 2024-08-20T21:40:12.4994578Z inductor/test_torchinductor_dynamic_shapes 3/3 2024-08-20T21:40:12.4995418Z dynamo/test_modules 1/1 2024-08-20T21:40:12.4995918Z dynamo/test_export 1/1 2024-08-20T21:40:12.4996548Z inductor/test_compiled_autograd 1/1 2024-08-20T21:40:12.4997315Z inductor/test_cudagraph_trees 1/1 2024-08-20T21:40:12.4998100Z inductor/test_split_cat_fx_passes 1/1 2024-08-20T21:40:12.4998771Z inductor/test_cpu_repro 2/2 2024-08-20T21:40:12.4999364Z dynamo/test_optimizers 1/1 2024-08-20T21:40:12.4999962Z dynamo/test_aot_autograd 1/1 2024-08-20T21:40:12.5000523Z export/test_verifier 1/1 2024-08-20T21:40:12.5001176Z dynamo/test_cudagraphs 1/1 2024-08-20T21:40:12.5001800Z dynamo/test_backends 1/1 2024-08-20T21:40:12.5002155Z inductor/test_config 1/1 2024-08-20T21:40:12.5002572Z dynamo/test_comptime 1/1 2024-08-20T21:40:12.5002938Z inductor/test_standalone_compile 1/1 2024-08-20T21:40:12.5003505Z dynamo/test_minifier 1/1 2024-08-20T21:40:12.5003834Z export/test_db 1/1 2024-08-20T21:40:12.5004232Z dynamo/test_skip_non_tensor 1/1 2024-08-20T21:40:12.5004638Z export/test_serialize 1/1 2024-08-20T21:40:12.5005208Z export/test_passes 1/1 2024-08-20T21:40:12.5005932Z inductor/test_extension_backend 1/1 2024-08-20T21:40:12.5006433Z dynamo/test_pre_dispatch 1/1 2024-08-20T21:40:12.5006803Z inductor/test_fx_fusion 1/1 2024-08-20T21:40:12.5007225Z dynamo/test_config 1/1 2024-08-20T21:40:12.5007584Z dynamo/test_python_autograd 1/1 2024-08-20T21:40:12.5008022Z inductor/test_minifier 1/1 2024-08-20T21:40:12.5008386Z dynamo/test_recompiles 1/1 2024-08-20T21:40:12.5008833Z inductor/test_binary_folding 1/1 2024-08-20T21:40:12.5009216Z dynamo/test_after_aot 1/1 2024-08-20T21:40:12.5009635Z export/test_pass_infra 1/1 2024-08-20T21:40:12.5010015Z inductor/test_select_algorithm 1/1 2024-08-20T21:40:12.5010484Z dynamo/test_verify_correctness 1/1 2024-08-20T21:40:12.5010956Z inductor/test_triton_kernels 1/1 2024-08-20T21:40:12.5011347Z dynamo/test_nops 1/1 2024-08-20T21:40:12.5011745Z inductor/test_triton_heuristics 1/1 2024-08-20T21:40:12.5012168Z inductor/test_snode_runtime 1/1 2024-08-20T21:40:12.5012631Z inductor/test_custom_lowering 1/1 2024-08-20T21:40:12.5013238Z test_foreach 1/1 2024-08-20T21:40:12.5013578Z export/test_retraceability 1/1 2024-08-20T21:40:12.5014028Z export/test_unflatten 1/1 2024-08-20T21:40:12.5014375Z export/test_serdes 1/1 2024-08-20T21:40:12.5014708Z test_autograd 1/1 2024-08-20T21:40:12.5015089Z test_functionalization 1/1 2024-08-20T21:40:12.5015452Z dynamo/test_frame_init 1/1 2024-08-20T21:40:12.5015811Z test_serialization 1/1 2024-08-20T21:40:12.5016157Z dynamo/test_exceptions 1/1 2024-08-20T21:40:12.5016632Z export/test_export_training_ir_to_run_decomp 1/1 2024-08-20T21:40:12.5017094Z dynamo/test_utils 1/1 2024-08-20T21:40:12.5017445Z Name: excluded (est. time: 83.41min) 2024-08-20T21:40:12.5017825Z Serial tests (38): 2024-08-20T21:40:12.5018125Z test_fx 1/1 2024-08-20T21:40:12.5018442Z test_reductions 1/1 2024-08-20T21:40:12.5018784Z test_multiprocessing 1/1 2024-08-20T21:40:12.5019136Z test_tensorexpr 1/1 2024-08-20T21:40:12.5019498Z distributions/test_distributions 1/1 2024-08-20T21:40:12.5019897Z nn/test_pooling 1/1 2024-08-20T21:40:12.5020228Z test_cpp_extensions_jit 1/1 2024-08-20T21:40:12.5020698Z test_dispatch 1/1 2024-08-20T21:40:12.5021018Z test_multiprocessing_spawn 1/1 2024-08-20T21:40:12.5021404Z nn/test_convolution 1/1 2024-08-20T21:40:12.5021762Z test_tensor_creation_ops 1/1 2024-08-20T21:40:12.5022253Z test_torch 1/1 2024-08-20T21:40:12.5022631Z test_cpp_extensions_open_device_registration 1/1 2024-08-20T21:40:12.5023121Z inductor/test_benchmark_fusion 1/1 2024-08-20T21:40:12.5023514Z test_spectral_ops 1/1 2024-08-20T21:40:12.5023852Z test_cpp_api_parity 1/1 2024-08-20T21:40:12.5024206Z test_mobile_optimizer 1/1 2024-08-20T21:40:12.5024549Z test_sort_and_select 1/1 2024-08-20T21:40:12.5024891Z test_overrides 1/1 2024-08-20T21:40:12.5025209Z test_fake_tensor 1/1 2024-08-20T21:40:12.5025541Z test_namedtuple_return_api 1/1 2024-08-20T21:40:12.5026149Z test_autocast 1/1 2024-08-20T21:40:12.5026474Z test_python_dispatch 1/1 2024-08-20T21:40:12.5026837Z test_cpp_extensions_mtia_backend 1/1 2024-08-20T21:40:12.5027287Z test_cpp_extensions_stream_and_event 1/1 2024-08-20T21:40:12.5027713Z test_jit_disabled 1/1 2024-08-20T21:40:12.5028030Z test_native_mha 1/1 2024-08-20T21:40:12.5028360Z test_autograd_fallback 1/1 2024-08-20T21:40:12.5028728Z test_show_pickle 1/1 2024-08-20T21:40:12.5029063Z test_cpp_extensions_aot_ninja 1/1 2024-08-20T21:40:12.5029557Z test_cpp_extensions_aot_no_ninja 1/1 2024-08-20T21:40:12.5029978Z inductor/test_flex_attention 1/1 2024-08-20T21:40:12.5030378Z inductor/test_cutlass_backend 1/1 2024-08-20T21:40:12.5030769Z test_cuda_trace 1/1 2024-08-20T21:40:12.5031101Z test_cuda_nvml_based_avail 1/1 2024-08-20T21:40:12.5031471Z test_cuda_primary_ctx 1/1 2024-08-20T21:40:12.5031829Z test_autoload_disable 1/1 2024-08-20T21:40:12.5032186Z test_autoload_enable 1/1 2024-08-20T21:40:12.5032522Z Parallel tests (63): 2024-08-20T21:40:12.5032875Z inductor/test_cpu_cpp_wrapper 9/14 2024-08-20T21:40:12.5033281Z functorch/test_ops 2/5 2024-08-20T21:40:12.5033607Z functorch/test_ops 3/5 2024-08-20T21:40:12.5033941Z functorch/test_ops 4/5 2024-08-20T21:40:12.5034315Z inductor/test_cpu_select_algorithm 1/13 2024-08-20T21:40:12.5034766Z inductor/test_cpu_select_algorithm 2/13 2024-08-20T21:40:12.5035227Z inductor/test_cpu_select_algorithm 3/13 2024-08-20T21:40:12.5035695Z inductor/test_cpu_select_algorithm 10/13 2024-08-20T21:40:12.5036156Z inductor/test_cpu_select_algorithm 11/13 2024-08-20T21:40:12.5036625Z inductor/test_cpu_select_algorithm 12/13 2024-08-20T21:40:12.5037046Z test_decomp 6/10 2024-08-20T21:40:12.5037338Z test_decomp 7/10 2024-08-20T21:40:12.5037637Z test_decomp 8/10 2024-08-20T21:40:12.5037946Z test_quantization 3/4 2024-08-20T21:40:12.5038270Z test_quantization 4/4 2024-08-20T21:40:12.5038598Z test_modules 1/1 2024-08-20T21:40:12.5039031Z test_meta 2/4 2024-08-20T21:40:12.5039303Z test_meta 3/4 2024-08-20T21:40:12.5039583Z test_meta 4/4 2024-08-20T21:40:12.5039862Z functorch/test_vmap 1/2 2024-08-20T21:40:12.5040215Z functorch/test_vmap 2/2 2024-08-20T21:40:12.5040554Z test_proxy_tensor 1/2 2024-08-20T21:40:12.5040875Z test_proxy_tensor 2/2 2024-08-20T21:40:12.5041215Z test_nestedtensor 1/1 2024-08-20T21:40:12.5041545Z test_jit_fuser_te 1/1 2024-08-20T21:40:12.5041865Z test_jit_llga_fuser 1/1 2024-08-20T21:40:12.5042239Z test_functional_autograd_benchmark 1/1 2024-08-20T21:40:12.5042750Z export/test_export_nonstrict 1/1 2024-08-20T21:40:12.5043124Z test_testing 1/1 2024-08-20T21:40:12.5043432Z test_tensorboard 1/1 2024-08-20T21:40:12.5043780Z dynamo/test_aot_autograd_cache 1/1 2024-08-20T21:40:12.5044176Z export/test_converter 1/1 2024-08-20T21:40:12.5044543Z profiler/test_profiler 1/1 2024-08-20T21:40:12.5044901Z dynamo/test_hooks 1/1 2024-08-20T21:40:12.5045239Z dynamo/test_structured_trace 1/1 2024-08-20T21:40:12.5045624Z test_masked 1/1 2024-08-20T21:40:12.5045922Z test_jit_autocast 1/1 2024-08-20T21:40:12.5046267Z functorch/test_eager_transforms 1/1 2024-08-20T21:40:12.5046688Z test_xnnpack_integration 1/1 2024-08-20T21:40:12.5047063Z test_maskedtensor 1/1 2024-08-20T21:40:12.5047426Z torch_np/numpy_tests/core/test_einsum 1/1 2024-08-20T21:40:12.5047962Z lazy/test_ts_opinfo 1/1 2024-08-20T21:40:12.5048357Z inductor/test_custom_post_grad_passes 1/1 2024-08-20T21:40:12.5048775Z nn/test_embedding 1/1 2024-08-20T21:40:12.5049099Z test_openmp 1/1 2024-08-20T21:40:12.5049400Z test_custom_ops 1/1 2024-08-20T21:40:12.5049726Z nn/test_multihead_attention 1/1 2024-08-20T21:40:12.5050119Z test_content_store 1/1 2024-08-20T21:40:12.5050454Z export/test_hop 1/1 2024-08-20T21:40:12.5050781Z inductor/test_inductor_utils 1/1 2024-08-20T21:40:12.5051181Z inductor/test_b2b_gemm 1/1 2024-08-20T21:40:12.5051576Z inductor/test_aot_inductor_package 1/1 2024-08-20T21:40:12.5052006Z inductor/test_cuda_cpp_wrapper 1/1 2024-08-20T21:40:12.5052420Z inductor/test_ck_backend 1/1 2024-08-20T21:40:12.5052791Z inductor/test_fp8 1/1 2024-08-20T21:40:12.5053176Z dynamo/test_cudagraphs_expandable_segments 1/1 2024-08-20T21:40:12.5053658Z inductor/test_loop_ordering 1/1 2024-08-20T21:40:12.5054150Z inductor/test_cudagraph_trees_expandable_segments 1/1 2024-08-20T21:40:12.5054651Z test_cuda_expandable_segments 1/1 2024-08-20T21:40:12.5055038Z test_hub 1/1 2024-08-20T21:40:12.5055332Z lazy/test_meta_kernel 1/1 2024-08-20T21:40:12.5055674Z test_cuda_sanitizer 1/1 2024-08-20T21:40:12.5056023Z optim/test_optim 1/1 2024-08-20T21:40:12.5091828Z Running test_ci_sanity_check_fail 1/1 ... [2024-08-20 21:40:12.508832] 2024-08-20T21:40:12.5092880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:40:12.5097909Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_ci_sanity_check_fail.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 21:40:12.509283] 2024-08-20T21:40:14.5772770Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T21:40:14.7598267Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T21:40:14.9138325Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T21:40:20.1593081Z Running doctests 1/1 ... [2024-08-20 21:40:20.158922] 2024-08-20T21:40:20.2506404Z Start doctest_module('/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch') 2024-08-20T21:40:20.2507129Z Listing tests 2024-08-20T21:40:20.4929627Z msg = Cannot scrape callname=meshgrid in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py line=426. 2024-08-20T21:40:20.4932130Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:20.4933791Z Creates grids of coordinates specified by the 1D inputs in `attr`:tensors. 2024-08-20T21:40:20.4934386Z 2024-08-20T21:40:20.4934627Z This is helpful when you want to visualize data over some 2024-08-20T21:40:20.4935237Z range of inputs. See below for a plotting example. 2024-08-20T21:40:20.4935612Z 2024-08-20T21:40:20.4935924Z Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as 2024-08-20T21:40:20.4936612Z inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`, 2024-08-20T21:40:20.4937355Z this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots 2024-08-20T21:40:20.4938064Z G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where 2024-08-20T21:40:20.4938708Z the output :math:`G_i` is constructed by expanding :math:`T_i` 2024-08-20T21:40:20.4939237Z to the result shape. 2024-08-20T21:40:20.4939477Z 2024-08-20T21:40:20.4939608Z .. note:: 2024-08-20T21:40:20.4939998Z 0D inputs are treated equivalently to 1D inputs of a 2024-08-20T21:40:20.4940576Z single element. 2024-08-20T21:40:20.4940907Z 2024-08-20T21:40:20.4941011Z .. warning:: 2024-08-20T21:40:20.4941447Z `torch.meshgrid(*tensors)` currently has the same behavior 2024-08-20T21:40:20.4942337Z as calling `numpy.meshgrid(*arrays, indexing='ij')`. 2024-08-20T21:40:20.4942727Z 2024-08-20T21:40:20.4942930Z In the future `torch.meshgrid` will transition to 2024-08-20T21:40:20.4943491Z `indexing='xy'` as the default. 2024-08-20T21:40:20.4943787Z 2024-08-20T21:40:20.4944037Z https://github.com/pytorch/pytorch/issues/50276 tracks 2024-08-20T21:40:20.4944728Z this issue with the goal of migrating to NumPy's behavior. 2024-08-20T21:40:20.4945146Z 2024-08-20T21:40:20.4945250Z .. seealso:: 2024-08-20T21:40:20.4945432Z 2024-08-20T21:40:20.4945674Z :func:`torch.cartesian_prod` has the same effect but it 2024-08-20T21:40:20.4946226Z collects the data in a tensor of vectors. 2024-08-20T21:40:20.4946569Z 2024-08-20T21:40:20.4946665Z Args: 2024-08-20T21:40:20.4947191Z tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be 2024-08-20T21:40:20.4947935Z treated as tensors of size :math:`(1,)` automatically 2024-08-20T21:40:20.4948330Z 2024-08-20T21:40:20.4948560Z indexing: (str, optional): the indexing mode, either "xy" 2024-08-20T21:40:20.4949199Z or "ij", defaults to "ij". See warning for future changes. 2024-08-20T21:40:20.4949602Z 2024-08-20T21:40:20.4949824Z If "xy" is selected, the first dimension corresponds 2024-08-20T21:40:20.4950412Z to the cardinality of the second input and the second 2024-08-20T21:40:20.4951027Z dimension corresponds to the cardinality of the first 2024-08-20T21:40:20.4951529Z input. 2024-08-20T21:40:20.4951735Z 2024-08-20T21:40:20.4951999Z If "ij" is selected, the dimensions are in the same 2024-08-20T21:40:20.4952706Z order as the cardinality of the inputs. 2024-08-20T21:40:20.4953261Z 2024-08-20T21:40:20.4953459Z Returns: 2024-08-20T21:40:20.4954133Z seq (sequence of Tensors): If the input has :math:`N` 2024-08-20T21:40:20.4955277Z tensors of size :math:`S_0 \ldots S_{N-1}``, then the 2024-08-20T21:40:20.4956417Z output will also have :math:`N` tensors, where each tensor 2024-08-20T21:40:20.4957456Z is of shape :math:`(S_0, ..., S_{N-1})`. 2024-08-20T21:40:20.4958050Z 2024-08-20T21:40:20.4958236Z Example:: 2024-08-20T21:40:20.4958568Z 2024-08-20T21:40:20.4958814Z >>> x = torch.tensor([1, 2, 3]) 2024-08-20T21:40:20.4959603Z >>> y = torch.tensor([4, 5, 6]) 2024-08-20T21:40:20.4960155Z 2024-08-20T21:40:20.4960689Z Observe the element-wise pairings across the grid, (1, 4), 2024-08-20T21:40:20.4961297Z (1, 5), ..., (3, 6). This is the same thing as the 2024-08-20T21:40:20.4961764Z cartesian product. 2024-08-20T21:40:20.4962286Z >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij') 2024-08-20T21:40:20.4962775Z >>> grid_x 2024-08-20T21:40:20.4963081Z tensor([[1, 1, 1], 2024-08-20T21:40:20.4963407Z [2, 2, 2], 2024-08-20T21:40:20.4963738Z [3, 3, 3]]) 2024-08-20T21:40:20.4964073Z >>> grid_y 2024-08-20T21:40:20.4964363Z tensor([[4, 5, 6], 2024-08-20T21:40:20.4964690Z [4, 5, 6], 2024-08-20T21:40:20.4965017Z [4, 5, 6]]) 2024-08-20T21:40:20.4965246Z 2024-08-20T21:40:20.4965466Z This correspondence can be seen when these grids are 2024-08-20T21:40:20.4965968Z stacked properly. 2024-08-20T21:40:20.4966470Z >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))), 2024-08-20T21:40:20.4967062Z ... torch.cartesian_prod(x, y)) 2024-08-20T21:40:20.4967492Z True 2024-08-20T21:40:20.4967669Z 2024-08-20T21:40:20.4967899Z `torch.meshgrid` is commonly used to produce a grid for 2024-08-20T21:40:20.4968398Z plotting. 2024-08-20T21:40:20.4968834Z >>> # xdoctest: +REQUIRES(module:matplotlib) 2024-08-20T21:40:20.4969345Z >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW) 2024-08-20T21:40:20.4969842Z >>> import matplotlib.pyplot as plt 2024-08-20T21:40:20.4970379Z >>> xs = torch.linspace(-5, 5, steps=100) 2024-08-20T21:40:20.4970932Z >>> ys = torch.linspace(-5, 5, steps=100) 2024-08-20T21:40:20.4971501Z >>> x, y = torch.meshgrid(xs, ys, indexing='xy') 2024-08-20T21:40:20.4972017Z >>> z = torch.sin(torch.sqrt(x * x + y * y)) 2024-08-20T21:40:20.4972648Z >>> ax = plt.axes(projection='3d') 2024-08-20T21:40:20.4973164Z >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy()) 2024-08-20T21:40:20.4973638Z >>> plt.show() 2024-08-20T21:40:20.4973851Z 2024-08-20T21:40:20.4974021Z .. image:: ../_static/img/meshgrid.png 2024-08-20T21:40:20.4974421Z :width: 512 2024-08-20T21:40:20.4974633Z 2024-08-20T21:40:20.4974724Z 2024-08-20T21:40:20.4975278Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:20.4975766Z 2024-08-20T21:40:20.4976627Z msg = Cannot scrape callname=_unique_impl in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py line=815. 2024-08-20T21:40:20.4977856Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:20.4978949Z unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> Tuple[Tensor, Tensor, Tensor] 2024-08-20T21:40:20.4979624Z 2024-08-20T21:40:20.4979812Z Returns the unique elements of the input tensor. 2024-08-20T21:40:20.4980165Z 2024-08-20T21:40:20.4980694Z .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that 2024-08-20T21:40:20.4981611Z this function also eliminates non-consecutive duplicate values. 2024-08-20T21:40:20.4982045Z 2024-08-20T21:40:20.4982357Z .. note:: Currently in the CUDA implementation and the CPU implementation, 2024-08-20T21:40:20.4983362Z `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument. 2024-08-20T21:40:20.4984344Z Sorting could be slow, so if your input tensor is already sorted, it is recommended to use 2024-08-20T21:40:20.4985134Z :func:`torch.unique_consecutive` which avoids the sorting. 2024-08-20T21:40:20.4985540Z 2024-08-20T21:40:20.4985633Z Args: 2024-08-20T21:40:20.4985916Z input (Tensor): the input tensor 2024-08-20T21:40:20.4986489Z sorted (bool): Whether to sort the unique elements in ascending order 2024-08-20T21:40:20.4987178Z before returning as output. 2024-08-20T21:40:20.4987744Z return_inverse (bool): Whether to also return the indices for where 2024-08-20T21:40:20.4988491Z elements in the original input ended up in the returned unique list. 2024-08-20T21:40:20.4989247Z return_counts (bool): Whether to also return the counts for each unique 2024-08-20T21:40:20.4989815Z element. 2024-08-20T21:40:20.4990289Z dim (int, optional): the dimension to operate upon. If ``None``, the 2024-08-20T21:40:20.4991012Z unique of the flattened input is returned. Otherwise, each of the 2024-08-20T21:40:20.4991734Z tensors indexed by the given dimension is treated as one of the 2024-08-20T21:40:20.4992458Z elements to apply the unique operation upon. See examples for more 2024-08-20T21:40:20.4993029Z details. Default: ``None`` 2024-08-20T21:40:20.4993316Z 2024-08-20T21:40:20.4993411Z Returns: 2024-08-20T21:40:20.4993959Z (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing 2024-08-20T21:40:20.4994507Z 2024-08-20T21:40:20.4994866Z - **output** (*Tensor*): the output list of unique scalar elements. 2024-08-20T21:40:20.4995527Z - **inverse_indices** (*Tensor*): (optional) if 2024-08-20T21:40:20.4996111Z :attr:`return_inverse` is True, there will be an additional 2024-08-20T21:40:20.4996856Z returned tensor (same shape as input) representing the indices 2024-08-20T21:40:20.4997552Z for where elements in the original input map to in the output; 2024-08-20T21:40:20.4998229Z otherwise, this function will only return a single tensor. 2024-08-20T21:40:20.4998853Z - **counts** (*Tensor*): (optional) if 2024-08-20T21:40:20.4999398Z :attr:`return_counts` is True, there will be an additional 2024-08-20T21:40:20.5000047Z returned tensor (same shape as output or output.size(dim), 2024-08-20T21:40:20.5000717Z if dim was specified) representing the number of occurrences 2024-08-20T21:40:20.5001276Z for each unique value or tensor. 2024-08-20T21:40:20.5001590Z 2024-08-20T21:40:20.5001692Z Example:: 2024-08-20T21:40:20.5001860Z 2024-08-20T21:40:20.5002143Z >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long)) 2024-08-20T21:40:20.5002696Z >>> output 2024-08-20T21:40:20.5002966Z tensor([1, 2, 3]) 2024-08-20T21:40:20.5003184Z 2024-08-20T21:40:20.5003345Z >>> output, inverse_indices = torch.unique( 2024-08-20T21:40:20.5004013Z ... torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True) 2024-08-20T21:40:20.5004598Z >>> output 2024-08-20T21:40:20.5004880Z tensor([1, 2, 3]) 2024-08-20T21:40:20.5005198Z >>> inverse_indices 2024-08-20T21:40:20.5005516Z tensor([0, 2, 1, 2]) 2024-08-20T21:40:20.5005745Z 2024-08-20T21:40:20.5005912Z >>> output, inverse_indices = torch.unique( 2024-08-20T21:40:20.5006578Z ... torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True) 2024-08-20T21:40:20.5007170Z >>> output 2024-08-20T21:40:20.5007450Z tensor([1, 2, 3]) 2024-08-20T21:40:20.5007768Z >>> inverse_indices 2024-08-20T21:40:20.5008078Z tensor([[0, 2], 2024-08-20T21:40:20.5008383Z [1, 2]]) 2024-08-20T21:40:20.5008578Z 2024-08-20T21:40:20.5008703Z >>> a = torch.tensor([ 2024-08-20T21:40:20.5009058Z ... [ 2024-08-20T21:40:20.5009337Z ... [1, 1, 0, 0], 2024-08-20T21:40:20.5009685Z ... [1, 1, 0, 0], 2024-08-20T21:40:20.5010014Z ... [0, 0, 1, 1], 2024-08-20T21:40:20.5010349Z ... ], 2024-08-20T21:40:20.5010616Z ... [ 2024-08-20T21:40:20.5010876Z ... [0, 0, 1, 1], 2024-08-20T21:40:20.5011218Z ... [0, 0, 1, 1], 2024-08-20T21:40:20.5011559Z ... [1, 1, 1, 1], 2024-08-20T21:40:20.5011986Z ... ], 2024-08-20T21:40:20.5012256Z ... [ 2024-08-20T21:40:20.5012532Z ... [1, 1, 0, 0], 2024-08-20T21:40:20.5012862Z ... [1, 1, 0, 0], 2024-08-20T21:40:20.5013206Z ... [0, 0, 1, 1], 2024-08-20T21:40:20.5013538Z ... ], 2024-08-20T21:40:20.5013797Z ... ]) 2024-08-20T21:40:20.5013964Z 2024-08-20T21:40:20.5014270Z >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]` 2024-08-20T21:40:20.5015040Z >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match 2024-08-20T21:40:20.5015666Z >>> # each other, so one of them will be removed. 2024-08-20T21:40:20.5016144Z >>> (a[0, :, :] == a[2, :, :]).all() 2024-08-20T21:40:20.5016537Z tensor(True) 2024-08-20T21:40:20.5016870Z >>> a_unique_dim0 = torch.unique(a, dim=0) 2024-08-20T21:40:20.5017301Z >>> a_unique_dim0 2024-08-20T21:40:20.5017624Z tensor([[[0, 0, 1, 1], 2024-08-20T21:40:20.5017945Z [0, 0, 1, 1], 2024-08-20T21:40:20.5018276Z [1, 1, 1, 1]], 2024-08-20T21:40:20.5018613Z [[1, 1, 0, 0], 2024-08-20T21:40:20.5018966Z [1, 1, 0, 0], 2024-08-20T21:40:20.5019296Z [0, 0, 1, 1]]]) 2024-08-20T21:40:20.5019529Z 2024-08-20T21:40:20.5020018Z >>> # Notice which sub-tensors from `a` match with the sub-tensors from 2024-08-20T21:40:20.5020687Z >>> # `a_unique_dim0`: 2024-08-20T21:40:20.5021082Z >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all() 2024-08-20T21:40:20.5021516Z tensor(True) 2024-08-20T21:40:20.5021873Z >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all() 2024-08-20T21:40:20.5022285Z tensor(True) 2024-08-20T21:40:20.5022485Z 2024-08-20T21:40:20.5022773Z >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are 2024-08-20T21:40:20.5023495Z >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of 2024-08-20T21:40:20.5024109Z >>> # them will be removed. 2024-08-20T21:40:20.5024509Z >>> (a[:, 0, :] == a[:, 1, :]).all() 2024-08-20T21:40:20.5024906Z tensor(True) 2024-08-20T21:40:20.5025199Z >>> torch.unique(a, dim=1) 2024-08-20T21:40:20.5025568Z tensor([[[0, 0, 1, 1], 2024-08-20T21:40:20.5026107Z [1, 1, 0, 0]], 2024-08-20T21:40:20.5026433Z [[1, 1, 1, 1], 2024-08-20T21:40:20.5026761Z [0, 0, 1, 1]], 2024-08-20T21:40:20.5027101Z [[0, 0, 1, 1], 2024-08-20T21:40:20.5027416Z [1, 1, 0, 0]]]) 2024-08-20T21:40:20.5027667Z 2024-08-20T21:40:20.5027963Z >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared. 2024-08-20T21:40:20.5028673Z >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and 2024-08-20T21:40:20.5029321Z >>> # `a[:, :, 3]` match each other as well. So in this case, two of the 2024-08-20T21:40:20.5029958Z >>> # sub-tensors will be removed. 2024-08-20T21:40:20.5030393Z >>> (a[:, :, 0] == a[:, :, 1]).all() 2024-08-20T21:40:20.5030772Z tensor(True) 2024-08-20T21:40:20.5031093Z >>> (a[:, :, 2] == a[:, :, 3]).all() 2024-08-20T21:40:20.5031485Z tensor(True) 2024-08-20T21:40:20.5031779Z >>> torch.unique(a, dim=2) 2024-08-20T21:40:20.5032151Z tensor([[[0, 1], 2024-08-20T21:40:20.5032455Z [0, 1], 2024-08-20T21:40:20.5032741Z [1, 0]], 2024-08-20T21:40:20.5033064Z [[1, 0], 2024-08-20T21:40:20.5033359Z [1, 0], 2024-08-20T21:40:20.5033639Z [1, 1]], 2024-08-20T21:40:20.5033937Z [[0, 1], 2024-08-20T21:40:20.5034234Z [0, 1], 2024-08-20T21:40:20.5034556Z [1, 0]]]) 2024-08-20T21:40:20.5034984Z 2024-08-20T21:40:20.5035537Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:20.5036024Z 2024-08-20T21:40:20.5123380Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py line=560. 2024-08-20T21:40:20.5124554Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:20.5125071Z 2024-08-20T21:40:20.5125306Z Load a model from a github repo or a local directory. 2024-08-20T21:40:20.5125887Z 2024-08-20T21:40:20.5126202Z Note: Loading a model is the typical use case, but this can also be used to 2024-08-20T21:40:20.5126960Z for loading other objects such as tokenizers, loss functions, etc. 2024-08-20T21:40:20.5127401Z 2024-08-20T21:40:20.5127691Z If ``source`` is 'github', ``repo_or_dir`` is expected to be 2024-08-20T21:40:20.5128297Z of the form ``repo_owner/repo_name[:ref]`` with an optional 2024-08-20T21:40:20.5142335Z ref (a tag or a branch). 2024-08-20T21:40:20.5142760Z 2024-08-20T21:40:20.5143318Z If ``source`` is 'local', ``repo_or_dir`` is expected to be a 2024-08-20T21:40:20.5143844Z path to a local directory. 2024-08-20T21:40:20.5144089Z 2024-08-20T21:40:20.5144182Z Args: 2024-08-20T21:40:20.5144552Z repo_or_dir (str): If ``source`` is 'github', 2024-08-20T21:40:20.5145279Z this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with 2024-08-20T21:40:20.5146374Z an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified, 2024-08-20T21:40:20.5147529Z the default branch is assumed to be ``main`` if it exists, and otherwise ``master``. 2024-08-20T21:40:20.5148441Z If ``source`` is 'local' then it should be a path to a local directory. 2024-08-20T21:40:20.5149157Z model (str): the name of a callable (entrypoint) defined in the 2024-08-20T21:40:20.5149757Z repo/dir's ``hubconf.py``. 2024-08-20T21:40:20.5150289Z *args (optional): the corresponding args for callable ``model``. 2024-08-20T21:40:20.5151000Z source (str, optional): 'github' or 'local'. Specifies how 2024-08-20T21:40:20.5151698Z ``repo_or_dir`` is to be interpreted. Default is 'github'. 2024-08-20T21:40:20.5152403Z trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``. 2024-08-20T21:40:20.5153171Z This parameter was introduced in v1.12 and helps ensuring that users 2024-08-20T21:40:20.5153807Z only run code from repos that they trust. 2024-08-20T21:40:20.5154180Z 2024-08-20T21:40:20.5154517Z - If ``False``, a prompt will ask the user whether the repo should 2024-08-20T21:40:20.5155055Z be trusted. 2024-08-20T21:40:20.5155578Z - If ``True``, the repo will be added to the trusted list and loaded 2024-08-20T21:40:20.5156187Z without requiring explicit confirmation. 2024-08-20T21:40:20.5156829Z - If ``"check"``, the repo will be checked against the list of 2024-08-20T21:40:20.5157501Z trusted repos in the cache. If it is not present in that list, the 2024-08-20T21:40:20.5158225Z behaviour will fall back onto the ``trust_repo=False`` option. 2024-08-20T21:40:20.5158975Z - If ``None``: this will raise a warning, inviting the user to set 2024-08-20T21:40:20.5159644Z ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This 2024-08-20T21:40:20.5160350Z is only present for backward compatibility and will be removed in 2024-08-20T21:40:20.5160909Z v2.0. 2024-08-20T21:40:20.5161077Z 2024-08-20T21:40:20.5161377Z Default is ``None`` and will eventually change to ``"check"`` in v2.0. 2024-08-20T21:40:20.5162101Z force_reload (bool, optional): whether to force a fresh download of 2024-08-20T21:40:20.5162809Z the github repo unconditionally. Does not have any effect if 2024-08-20T21:40:20.5163453Z ``source = 'local'``. Default is ``False``. 2024-08-20T21:40:20.5164047Z verbose (bool, optional): If ``False``, mute messages about hitting 2024-08-20T21:40:20.5164775Z local caches. Note that the message about first download cannot be 2024-08-20T21:40:20.5165610Z muted. Does not have any effect if ``source = 'local'``. 2024-08-20T21:40:20.5166111Z Default is ``True``. 2024-08-20T21:40:20.5166744Z skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit 2024-08-20T21:40:20.5167701Z specified by the ``github`` argument properly belongs to the repo owner. This will make 2024-08-20T21:40:20.5168719Z requests to the GitHub API; you can specify a non-default GitHub token by setting the 2024-08-20T21:40:20.5169519Z ``GITHUB_TOKEN`` environment variable. Default is ``False``. 2024-08-20T21:40:20.5170216Z **kwargs (optional): the corresponding kwargs for callable ``model``. 2024-08-20T21:40:20.5170664Z 2024-08-20T21:40:20.5170776Z Returns: 2024-08-20T21:40:20.5171179Z The output of the ``model`` callable when called with the given 2024-08-20T21:40:20.5171728Z ``*args`` and ``**kwargs``. 2024-08-20T21:40:20.5171970Z 2024-08-20T21:40:20.5172082Z Example: 2024-08-20T21:40:20.5172401Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2024-08-20T21:40:20.5172864Z >>> # from a github repo 2024-08-20T21:40:20.5173224Z >>> repo = "pytorch/vision" 2024-08-20T21:40:20.5173587Z >>> model = torch.hub.load( 2024-08-20T21:40:20.5174092Z ... repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1" 2024-08-20T21:40:20.5174671Z ... ) 2024-08-20T21:40:20.5174933Z >>> # from a local directory 2024-08-20T21:40:20.5175352Z >>> path = "/some/local/path/pytorch/vision" 2024-08-20T21:40:20.5175798Z >>> # xdoctest: +SKIP 2024-08-20T21:40:20.5176335Z >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT") 2024-08-20T21:40:20.5176845Z 2024-08-20T21:40:20.5177250Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:20.5177735Z 2024-08-20T21:40:20.5178565Z msg = Cannot scrape callname=download_url_to_file in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py line=687. 2024-08-20T21:40:20.5179800Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:20.5180634Z Download object at the given URL to a local path. 2024-08-20T21:40:20.5180994Z 2024-08-20T21:40:20.5181090Z Args: 2024-08-20T21:40:20.5181404Z url (str): URL of the object to download 2024-08-20T21:40:20.5182053Z dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file`` 2024-08-20T21:40:20.5183015Z hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``. 2024-08-20T21:40:20.5183753Z Default: None 2024-08-20T21:40:20.5184303Z progress (bool, optional): whether or not to display a progress bar to stderr 2024-08-20T21:40:20.5184909Z Default: True 2024-08-20T21:40:20.5185132Z 2024-08-20T21:40:20.5185231Z Example: 2024-08-20T21:40:20.5185581Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2024-08-20T21:40:20.5186056Z >>> # xdoctest: +REQUIRES(POSIX) 2024-08-20T21:40:20.5186495Z >>> torch.hub.download_url_to_file( 2024-08-20T21:40:20.5187188Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth", 2024-08-20T21:40:20.5187814Z ... "/tmp/temporary_file", 2024-08-20T21:40:20.5188187Z ... ) 2024-08-20T21:40:20.5188345Z 2024-08-20T21:40:20.5188452Z 2024-08-20T21:40:20.5188977Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:20.5189478Z 2024-08-20T21:40:20.5190282Z msg = Cannot scrape callname=load_state_dict_from_url in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py line=812. 2024-08-20T21:40:20.5191533Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:20.5192234Z Loads the Torch serialized object at the given URL. 2024-08-20T21:40:20.5192589Z 2024-08-20T21:40:20.5192830Z If downloaded file is a zip file, it will be automatically 2024-08-20T21:40:20.5193419Z decompressed. 2024-08-20T21:40:20.5193600Z 2024-08-20T21:40:20.5193989Z If the object is already present in `model_dir`, it's deserialized and 2024-08-20T21:40:20.5194545Z returned. 2024-08-20T21:40:20.5195000Z The default value of ``model_dir`` is ``/checkpoints`` where 2024-08-20T21:40:20.5195725Z ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`. 2024-08-20T21:40:20.5196160Z 2024-08-20T21:40:20.5196256Z Args: 2024-08-20T21:40:20.5196568Z url (str): URL of the object to download 2024-08-20T21:40:20.5197159Z model_dir (str, optional): directory in which to save the object 2024-08-20T21:40:20.5198058Z map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load) 2024-08-20T21:40:20.5199045Z progress (bool, optional): whether or not to display a progress bar to stderr. 2024-08-20T21:40:20.5199672Z Default: True 2024-08-20T21:40:20.5200351Z check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention 2024-08-20T21:40:20.5201342Z ``filename-.ext`` where ```` is the first eight or more 2024-08-20T21:40:20.5202135Z digits of the SHA256 hash of the contents of the file. The hash is used to 2024-08-20T21:40:20.5202884Z ensure unique names and to verify the contents of the file. 2024-08-20T21:40:20.5203465Z Default: False 2024-08-20T21:40:20.5204156Z file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set. 2024-08-20T21:40:20.5205330Z weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects. 2024-08-20T21:40:20.5206398Z Recommended for untrusted sources. See :func:`~torch.load` for more details. 2024-08-20T21:40:20.5206927Z 2024-08-20T21:40:20.5207025Z Example: 2024-08-20T21:40:20.5207399Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2024-08-20T21:40:20.5207952Z >>> state_dict = torch.hub.load_state_dict_from_url( 2024-08-20T21:40:20.5208694Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth" 2024-08-20T21:40:20.5209249Z ... ) 2024-08-20T21:40:20.5209413Z 2024-08-20T21:40:20.5209515Z 2024-08-20T21:40:20.5210037Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:20.5210544Z 2024-08-20T21:40:20.5211368Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py line=334. 2024-08-20T21:40:20.5212599Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-08-20T21:40:20.5213395Z Registers the function implementation as the fallback for the given key. 2024-08-20T21:40:20.5213872Z 2024-08-20T21:40:20.5214163Z This function only works for a library with global namespace ("_"). 2024-08-20T21:40:20.5214632Z 2024-08-20T21:40:20.5214729Z Args: 2024-08-20T21:40:20.5215292Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2024-08-20T21:40:20.5215986Z to register a fallthrough. 2024-08-20T21:40:20.5216736Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2024-08-20T21:40:20.5217583Z the dispatch key that the library was created with. 2024-08-20T21:40:20.5218471Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2024-08-20T21:40:20.5219623Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2024-08-20T21:40:20.5220264Z 2024-08-20T21:40:20.5220383Z Example:: 2024-08-20T21:40:20.5220906Z >>> my_lib = Library("_", "IMPL") 2024-08-20T21:40:20.5221371Z >>> def fallback_kernel(op, *args, **kwargs): 2024-08-20T21:40:20.5221994Z >>> # Handle all autocast ops generically 2024-08-20T21:40:20.5222443Z >>> # ... 2024-08-20T21:40:20.5222825Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2024-08-20T21:40:20.5223278Z 2024-08-20T21:40:20.5224455Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2024-08-20T21:40:20.5225514Z 2024-08-20T21:40:20.5225873Z my_lib.fallback(fallback_kernel, "Autocast") 2024-08-20T21:40:20.5226299Z ^ 2024-08-20T21:40:20.5271229Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py line=692. 2024-08-20T21:40:20.5272460Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-08-20T21:40:20.5273240Z Register a FakeTensor implementation ("fake impl") for this operator. 2024-08-20T21:40:20.5273750Z 2024-08-20T21:40:20.5273988Z Also sometimes known as a "meta kernel", "abstract impl". 2024-08-20T21:40:20.5274391Z 2024-08-20T21:40:20.5274711Z An "FakeTensor implementation" specifies the behavior of this operator on 2024-08-20T21:40:20.5275516Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2024-08-20T21:40:20.5276291Z certain properties (sizes/strides/storage_offset/device), it specifies 2024-08-20T21:40:20.5277097Z what the properties of the output Tensors are. 2024-08-20T21:40:20.5277456Z 2024-08-20T21:40:20.5277754Z The FakeTensor implementation has the same signature as the operator. 2024-08-20T21:40:20.5278520Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2024-08-20T21:40:20.5279257Z implementation, assume that all Tensor inputs to the operator are 2024-08-20T21:40:20.5280042Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2024-08-20T21:40:20.5281175Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2024-08-20T21:40:20.5282309Z The FakeTensor implementation must consist of only PyTorch operations 2024-08-20T21:40:20.5283249Z (and may not directly access the storage or data of any input or 2024-08-20T21:40:20.5283811Z intermediate Tensors). 2024-08-20T21:40:20.5284036Z 2024-08-20T21:40:20.5284237Z This API may be used as a decorator (see examples). 2024-08-20T21:40:20.5284622Z 2024-08-20T21:40:20.5284803Z For a detailed guide on custom ops, please see 2024-08-20T21:40:20.5285456Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2024-08-20T21:40:20.5285915Z 2024-08-20T21:40:20.5286034Z Examples: 2024-08-20T21:40:20.5286300Z >>> import torch 2024-08-20T21:40:20.5286634Z >>> import numpy as np 2024-08-20T21:40:20.5287009Z >>> from torch import Tensor 2024-08-20T21:40:20.5287368Z >>> 2024-08-20T21:40:20.5287889Z >>> # Example 1: an operator without data-dependent output shape 2024-08-20T21:40:20.5288613Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2024-08-20T21:40:20.5289428Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2024-08-20T21:40:20.5290132Z >>> raise NotImplementedError("Implementation goes here") 2024-08-20T21:40:20.5290637Z >>> 2024-08-20T21:40:20.5291005Z >>> @torch.library.register_fake("mylib::custom_linear") 2024-08-20T21:40:20.5291522Z >>> def _(x, weight, bias): 2024-08-20T21:40:20.5291912Z >>> assert x.dim() == 2 2024-08-20T21:40:20.5292297Z >>> assert weight.dim() == 2 2024-08-20T21:40:20.5292713Z >>> assert bias.dim() == 1 2024-08-20T21:40:20.5293165Z >>> assert x.shape[1] == weight.shape[1] 2024-08-20T21:40:20.5293651Z >>> assert weight.shape[0] == bias.shape[0] 2024-08-20T21:40:20.5294137Z >>> assert x.device == weight.device 2024-08-20T21:40:20.5294556Z >>> 2024-08-20T21:40:20.5294842Z >>> return (x @ weight.t()) + bias 2024-08-20T21:40:20.5295381Z >>> 2024-08-20T21:40:20.5295766Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2024-08-20T21:40:20.5296272Z >>> x = torch.randn(2, 3) 2024-08-20T21:40:20.5296674Z >>> w = torch.randn(3, 3) 2024-08-20T21:40:20.5297069Z >>> b = torch.randn(3) 2024-08-20T21:40:20.5297500Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2024-08-20T21:40:20.5297954Z >>> 2024-08-20T21:40:20.5298233Z >>> assert y.shape == (2, 3) 2024-08-20T21:40:20.5298592Z >>> 2024-08-20T21:40:20.5299058Z >>> # Example 2: an operator with data-dependent output shape 2024-08-20T21:40:20.5299754Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2024-08-20T21:40:20.5300519Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2024-08-20T21:40:20.5301063Z >>> x_np = x.numpy(force=True) 2024-08-20T21:40:20.5301537Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2024-08-20T21:40:20.5302058Z >>> return torch.tensor(res, device=x.device) 2024-08-20T21:40:20.5302484Z >>> 2024-08-20T21:40:20.5302869Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2024-08-20T21:40:20.5303360Z >>> def _(x): 2024-08-20T21:40:20.5303802Z >>> # Number of nonzero-elements is data-dependent. 2024-08-20T21:40:20.5304443Z >>> # Since we cannot peek at the data in an fake impl, 2024-08-20T21:40:20.5305039Z >>> # we use the ctx object to construct a new symint that 2024-08-20T21:40:20.5305630Z >>> # represents the data-dependent size. 2024-08-20T21:40:20.5306113Z >>> ctx = torch.library.get_ctx() 2024-08-20T21:40:20.5306567Z >>> nnz = ctx.new_dynamic_size() 2024-08-20T21:40:20.5306982Z >>> shape = [nnz, x.dim()] 2024-08-20T21:40:20.5307457Z >>> result = x.new_empty(shape, dtype=torch.int64) 2024-08-20T21:40:20.5307932Z >>> return result 2024-08-20T21:40:20.5308253Z >>> 2024-08-20T21:40:20.5308654Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2024-08-20T21:40:20.5309160Z >>> 2024-08-20T21:40:20.5309448Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2024-08-20T21:40:20.5310100Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2024-08-20T21:40:20.5310734Z >>> trace.print_readable() 2024-08-20T21:40:20.5311081Z >>> 2024-08-20T21:40:20.5311529Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2024-08-20T21:40:20.5311993Z 2024-08-20T21:40:20.5312096Z 2024-08-20T21:40:20.5313071Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2024-08-20T21:40:20.5313942Z 2024-08-20T21:40:20.5314038Z _._ = None 2024-08-20T21:40:20.5314283Z ^ 2024-08-20T21:40:20.5315257Z msg = Cannot scrape callname=register_autograd in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py line=813. 2024-08-20T21:40:20.5316500Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:20.5317174Z Register a backward formula for this custom op. 2024-08-20T21:40:20.5317525Z 2024-08-20T21:40:20.5317815Z In order for an operator to work with autograd, you need to register 2024-08-20T21:40:20.5318392Z a backward formula: 2024-08-20T21:40:20.5318889Z 1. You must tell us how to compute gradients during the backward pass 2024-08-20T21:40:20.5319504Z by providing us a "backward" function. 2024-08-20T21:40:20.5320133Z 2. If you need any values from the forward to compute gradients, you can 2024-08-20T21:40:20.5320780Z use `setup_context` to save values for backward. 2024-08-20T21:40:20.5321137Z 2024-08-20T21:40:20.5321435Z ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``: 2024-08-20T21:40:20.5322252Z - ``grads`` is one or more gradients. The number of gradients matches 2024-08-20T21:40:20.5322948Z the number of outputs of the operator. 2024-08-20T21:40:20.5323558Z The ``ctx`` object is `the same ctx object `_ used by 2024-08-20T21:40:20.5324361Z :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the 2024-08-20T21:40:20.5325339Z same as :meth:`torch.autograd.Function.backward`. 2024-08-20T21:40:20.5326113Z 2024-08-20T21:40:20.5326574Z ``setup_context(ctx, inputs, output)`` runs during the forward pass. 2024-08-20T21:40:20.5327627Z Please save quantities needed for backward onto the ``ctx`` object via 2024-08-20T21:40:20.5328418Z either :meth:`torch.autograd.function.FunctionCtx.save_for_backward` 2024-08-20T21:40:20.5329166Z or assigning them as attributes of ``ctx``. If your custom op has 2024-08-20T21:40:20.5329984Z kwarg-only arguments, we expect the signature of ``setup_context`` 2024-08-20T21:40:20.5330701Z to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``. 2024-08-20T21:40:20.5331127Z 2024-08-20T21:40:20.5331447Z Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is, 2024-08-20T21:40:20.5332214Z they may not directly access :meth:`torch.Tensor.data_ptr` and they must 2024-08-20T21:40:20.5333098Z not depend on or mutate global state. If you need a non-traceable backward, 2024-08-20T21:40:20.5333919Z you can make it a separate custom_op that you call inside ``backward_fn``. 2024-08-20T21:40:20.5334543Z 2024-08-20T21:40:20.5334644Z Examples: 2024-08-20T21:40:20.5334920Z >>> import torch 2024-08-20T21:40:20.5335254Z >>> import numpy as np 2024-08-20T21:40:20.5335609Z >>> from torch import Tensor 2024-08-20T21:40:20.5335982Z >>> 2024-08-20T21:40:20.5336409Z >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=()) 2024-08-20T21:40:20.5337039Z >>> def numpy_sin(x: Tensor) -> Tensor: 2024-08-20T21:40:20.5337482Z >>> x_np = x.cpu().numpy() 2024-08-20T21:40:20.5337878Z >>> y_np = np.sin(x_np) 2024-08-20T21:40:20.5338342Z >>> return torch.from_numpy(y_np).to(device=x.device) 2024-08-20T21:40:20.5338812Z >>> 2024-08-20T21:40:20.5339232Z >>> def setup_context(ctx, inputs, output) -> Tensor: 2024-08-20T21:40:20.5339692Z >>> x, = inputs 2024-08-20T21:40:20.5340047Z >>> ctx.save_for_backward(x) 2024-08-20T21:40:20.5340508Z >>> 2024-08-20T21:40:20.5340774Z >>> def backward(ctx, grad): 2024-08-20T21:40:20.5341173Z >>> x, = ctx.saved_tensors 2024-08-20T21:40:20.5341577Z >>> return grad * x.cos() 2024-08-20T21:40:20.5341929Z >>> 2024-08-20T21:40:20.5342238Z >>> torch.library.register_autograd( 2024-08-20T21:40:20.5342796Z ... "mylib::numpy_sin", backward, setup_context=setup_context 2024-08-20T21:40:20.5343288Z ... ) 2024-08-20T21:40:20.5343543Z >>> 2024-08-20T21:40:20.5343860Z >>> x = torch.randn(3, requires_grad=True) 2024-08-20T21:40:20.5344301Z >>> y = numpy_sin(x) 2024-08-20T21:40:20.5344765Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2024-08-20T21:40:20.5345326Z >>> assert torch.allclose(grad_x, x.cos()) 2024-08-20T21:40:20.5345740Z >>> 2024-08-20T21:40:20.5346098Z >>> # Example with a keyword-only arg 2024-08-20T21:40:20.5346680Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2024-08-20T21:40:20.5347383Z >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor: 2024-08-20T21:40:20.5347863Z >>> x_np = x.cpu().numpy() 2024-08-20T21:40:20.5348259Z >>> y_np = x_np * val 2024-08-20T21:40:20.5348716Z >>> return torch.from_numpy(y_np).to(device=x.device) 2024-08-20T21:40:20.5349168Z >>> 2024-08-20T21:40:20.5349704Z >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor: 2024-08-20T21:40:20.5350339Z >>> ctx.val = keyword_only_inputs["val"] 2024-08-20T21:40:20.5350754Z >>> 2024-08-20T21:40:20.5351147Z >>> def backward(ctx, grad): 2024-08-20T21:40:20.5351561Z >>> return grad * ctx.val 2024-08-20T21:40:20.5351920Z >>> 2024-08-20T21:40:20.5352232Z >>> torch.library.register_autograd( 2024-08-20T21:40:20.5352787Z ... "mylib::numpy_mul", backward, setup_context=setup_context 2024-08-20T21:40:20.5353285Z ... ) 2024-08-20T21:40:20.5353546Z >>> 2024-08-20T21:40:20.5353861Z >>> x = torch.randn(3, requires_grad=True) 2024-08-20T21:40:20.5354307Z >>> y = numpy_mul(x, val=3.14) 2024-08-20T21:40:20.5354824Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2024-08-20T21:40:20.5355453Z >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14)) 2024-08-20T21:40:20.5355844Z 2024-08-20T21:40:20.5355937Z 2024-08-20T21:40:20.5356485Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:20.5356971Z 2024-08-20T21:40:20.5357776Z msg = Cannot scrape callname=opcheck in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py line=1221. 2024-08-20T21:40:20.5358980Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:20.5359774Z Given an operator and some sample arguments, tests if the operator is 2024-08-20T21:40:20.5360356Z registered correctly. 2024-08-20T21:40:20.5360649Z 2024-08-20T21:40:20.5360950Z That is, when you use the torch.library/TORCH_LIBRARY APIs to create a 2024-08-20T21:40:20.5361756Z custom op, you specified metadata (e.g. mutability info) about the custom op 2024-08-20T21:40:20.5362558Z and these APIs require that the functions you pass them satisfy certain 2024-08-20T21:40:20.5363347Z properties (e.g. no data pointer access in the fake/meta/abstract kernel) 2024-08-20T21:40:20.5364021Z ``opcheck`` tests these metadata and properties. 2024-08-20T21:40:20.5364363Z 2024-08-20T21:40:20.5364504Z Concretely, we test the following: 2024-08-20T21:40:20.5365055Z - test_schema: if the operator's schema is correct. 2024-08-20T21:40:20.5365757Z - test_autograd_registration: if autograd was registered correctly. 2024-08-20T21:40:20.5366480Z - test_faketensor: If the operator has a FakeTensor kernel 2024-08-20T21:40:20.5367123Z (and if it is correct). The FakeTensor kernel is necessary ( 2024-08-20T21:40:20.5367837Z but not sufficient) for the operator to work with PyTorch compilation 2024-08-20T21:40:20.5368437Z APIs (torch.compile/export/FX). 2024-08-20T21:40:20.5369034Z - test_aot_dispatch_dynamic: If the operator has correct behavior 2024-08-20T21:40:20.5369696Z with PyTorch compilation APIs (torch.compile/export/FX). 2024-08-20T21:40:20.5370384Z This checks that the outputs (and gradients, if applicable) are the 2024-08-20T21:40:20.5371075Z same under eager-mode PyTorch and torch.compile. 2024-08-20T21:40:20.5371608Z This test is a superset of ``test_faketensor``. 2024-08-20T21:40:20.5371951Z 2024-08-20T21:40:20.5372226Z For best results, please call ``opcheck`` multiple times with a 2024-08-20T21:40:20.5372867Z representative set of inputs. If your operator supports 2024-08-20T21:40:20.5373573Z autograd, please use ``opcheck`` with inputs with ``requires_grad = True``; 2024-08-20T21:40:20.5374361Z if your operator supports multiple devices (e.g. CPU and CUDA), please 2024-08-20T21:40:20.5375033Z use ``opcheck`` with inputs on all supported devices. 2024-08-20T21:40:20.5375411Z 2024-08-20T21:40:20.5375508Z Args: 2024-08-20T21:40:20.5375899Z op: The operator. Must either be a function decorated with 2024-08-20T21:40:20.5376596Z :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket 2024-08-20T21:40:20.5377337Z found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo) 2024-08-20T21:40:20.5377941Z args: The args to the operator 2024-08-20T21:40:20.5378373Z kwargs: The kwargs to the operator 2024-08-20T21:40:20.5378991Z test_utils: Tests that we should run. Default: all of them. 2024-08-20T21:40:20.5379581Z Example: ("test_schema", "test_faketensor") 2024-08-20T21:40:20.5380182Z raise_exception: If we should raise an exception on the first 2024-08-20T21:40:20.5380918Z error. If False, we will return a dict with information 2024-08-20T21:40:20.5381459Z on if each test passed or not. 2024-08-20T21:40:20.5381755Z 2024-08-20T21:40:20.5381882Z .. warning:: 2024-08-20T21:40:20.5382052Z 2024-08-20T21:40:20.5382347Z opcheck and :func:`torch.autograd.gradcheck` test different things; 2024-08-20T21:40:20.5383102Z opcheck tests if your usage of torch.library APIs is correct while 2024-08-20T21:40:20.5383851Z :func:`torch.autograd.gradcheck` tests if your autograd formula is 2024-08-20T21:40:20.5384588Z mathematically correct. Use both to test custom ops that support 2024-08-20T21:40:20.5385144Z gradient computation. 2024-08-20T21:40:20.5385395Z 2024-08-20T21:40:20.5385499Z Example: 2024-08-20T21:40:20.5385656Z 2024-08-20T21:40:20.5385850Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-08-20T21:40:20.5386449Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2024-08-20T21:40:20.5387165Z >>> def numpy_add(x: Tensor, y: float) -> Tensor: 2024-08-20T21:40:20.5387714Z >>> x_np = x.numpy(force=True) 2024-08-20T21:40:20.5388111Z >>> z_np = x_np + y 2024-08-20T21:40:20.5388542Z >>> return torch.from_numpy(z_np).to(x.device) 2024-08-20T21:40:20.5388982Z >>> 2024-08-20T21:40:20.5389248Z >>> @numpy_sin.register_fake 2024-08-20T21:40:20.5389628Z >>> def _(x, y): 2024-08-20T21:40:20.5389980Z >>> return torch.empty_like(x) 2024-08-20T21:40:20.5390365Z >>> 2024-08-20T21:40:20.5390683Z >>> def setup_context(ctx, inputs, output): 2024-08-20T21:40:20.5391122Z >>> y, = inputs 2024-08-20T21:40:20.5391441Z >>> ctx.y = y 2024-08-20T21:40:20.5391751Z >>> 2024-08-20T21:40:20.5392028Z >>> def backward(ctx, grad): 2024-08-20T21:40:20.5392425Z >>> return grad * ctx.y, None 2024-08-20T21:40:20.5392812Z >>> 2024-08-20T21:40:20.5393252Z >>> numpy_sin.register_autograd(backward, setup_context=setup_context) 2024-08-20T21:40:20.5393796Z >>> 2024-08-20T21:40:20.5394064Z >>> sample_inputs = [ 2024-08-20T21:40:20.5394425Z >>> (torch.randn(3), 3.14), 2024-08-20T21:40:20.5394936Z >>> (torch.randn(2, 3, device='cuda'), 2.718), 2024-08-20T21:40:20.5395471Z >>> (torch.randn(1, 10, requires_grad=True), 1.234), 2024-08-20T21:40:20.5396180Z >>> (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18), 2024-08-20T21:40:20.5396703Z >>> ] 2024-08-20T21:40:20.5396960Z >>> 2024-08-20T21:40:20.5397241Z >>> for args in sample_inputs: 2024-08-20T21:40:20.5397672Z >>> torch.library.opcheck(foo, args) 2024-08-20T21:40:20.5398011Z 2024-08-20T21:40:20.5398102Z 2024-08-20T21:40:20.5398636Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:20.5399122Z 2024-08-20T21:40:20.5742782Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py line=1042. 2024-08-20T21:40:20.5744027Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:20.5744984Z load(f, map_location=None, pickle_module=pickle, *, weights_only=False, mmap=None, **pickle_load_args) 2024-08-20T21:40:20.5745651Z 2024-08-20T21:40:20.5745887Z Loads an object saved with :func:`torch.save` from a file. 2024-08-20T21:40:20.5746285Z 2024-08-20T21:40:20.5746703Z :func:`torch.load` uses Python's unpickling facilities but treats storages, 2024-08-20T21:40:20.5747482Z which underlie tensors, specially. They are first deserialized on the 2024-08-20T21:40:20.5748429Z CPU and are then moved to the device they were saved from. If this fails 2024-08-20T21:40:20.5749328Z (e.g. because the run time system doesn't have certain devices), an exception 2024-08-20T21:40:20.5750154Z is raised. However, storages can be dynamically remapped to an alternative 2024-08-20T21:40:20.5750850Z set of devices using the :attr:`map_location` argument. 2024-08-20T21:40:20.5751245Z 2024-08-20T21:40:20.5751588Z If :attr:`map_location` is a callable, it will be called once for each serialized 2024-08-20T21:40:20.5752408Z storage with two arguments: storage and location. The storage argument 2024-08-20T21:40:20.5753188Z will be the initial deserialization of the storage, residing on the CPU. 2024-08-20T21:40:20.5753964Z Each serialized storage has a location tag associated with it which 2024-08-20T21:40:20.5754710Z identifies the device it was saved from, and this tag is the second 2024-08-20T21:40:20.5755577Z argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'`` 2024-08-20T21:40:20.5756495Z for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors. 2024-08-20T21:40:20.5757254Z :attr:`map_location` should return either ``None`` or a storage. If 2024-08-20T21:40:20.5758034Z :attr:`map_location` returns a storage, it will be used as the final deserialized 2024-08-20T21:40:20.5758969Z object, already moved to the right device. Otherwise, :func:`torch.load` will 2024-08-20T21:40:20.5759900Z fall back to the default behavior, as if :attr:`map_location` wasn't specified. 2024-08-20T21:40:20.5760408Z 2024-08-20T21:40:20.5760759Z If :attr:`map_location` is a :class:`torch.device` object or a string containing 2024-08-20T21:40:20.5761579Z a device tag, it indicates the location where all tensors should be loaded. 2024-08-20T21:40:20.5762084Z 2024-08-20T21:40:20.5762439Z Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags 2024-08-20T21:40:20.5763258Z appearing in the file (keys), to ones that specify where to put the 2024-08-20T21:40:20.5763824Z storages (values). 2024-08-20T21:40:20.5764027Z 2024-08-20T21:40:20.5764319Z User extensions can register their own location tags and tagging and 2024-08-20T21:40:20.5765123Z deserialization methods using :func:`torch.serialization.register_package`. 2024-08-20T21:40:20.5765631Z 2024-08-20T21:40:20.5765745Z Args: 2024-08-20T21:40:20.5766447Z f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`), 2024-08-20T21:40:20.5767317Z or a string or os.PathLike object containing a file name 2024-08-20T21:40:20.5768158Z map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage 2024-08-20T21:40:20.5768859Z locations 2024-08-20T21:40:20.5769356Z pickle_module: module used for unpickling metadata and objects (has to 2024-08-20T21:40:20.5770057Z match the :attr:`pickle_module` used to serialize file) 2024-08-20T21:40:20.5770739Z weights_only: Indicates whether unpickler should be restricted to 2024-08-20T21:40:20.5771389Z loading only tensors, primitive types, dictionaries 2024-08-20T21:40:20.5772077Z and any types added via :func:`torch.serialization.add_safe_globals`. 2024-08-20T21:40:20.5773018Z mmap: Indicates whether the file should be mmaped rather than loading all the storages into memory. 2024-08-20T21:40:20.5774098Z Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they 2024-08-20T21:40:20.5775222Z are moved to the location that they were tagged with when saving, or specified by ``map_location``. This 2024-08-20T21:40:20.5776491Z second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the 2024-08-20T21:40:20.5777487Z tensor storages from disk to CPU memory in the first step, ``f`` is mmaped. 2024-08-20T21:40:20.5778357Z pickle_load_args: (Python 3 only) optional keyword arguments passed over to 2024-08-20T21:40:20.5779158Z :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g., 2024-08-20T21:40:20.5779745Z :attr:`errors=...`. 2024-08-20T21:40:20.5779989Z 2024-08-20T21:40:20.5780105Z .. warning:: 2024-08-20T21:40:20.5780679Z :func:`torch.load()` unless `weights_only` parameter is set to `True`, 2024-08-20T21:40:20.5781411Z uses ``pickle`` module implicitly, which is known to be insecure. 2024-08-20T21:40:20.5782212Z It is possible to construct malicious pickle data which will execute arbitrary code 2024-08-20T21:40:20.5783081Z during unpickling. Never load data that could have come from an untrusted 2024-08-20T21:40:20.5784005Z source in an unsafe mode, or that could have been tampered with. **Only load data you trust**. 2024-08-20T21:40:20.5784597Z 2024-08-20T21:40:20.5784713Z .. note:: 2024-08-20T21:40:20.5785253Z When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors 2024-08-20T21:40:20.5786280Z will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')`` 2024-08-20T21:40:20.5787218Z and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint. 2024-08-20T21:40:20.5787833Z 2024-08-20T21:40:20.5787933Z .. note:: 2024-08-20T21:40:20.5788542Z By default, we decode byte strings as ``utf-8``. This is to avoid a common error 2024-08-20T21:40:20.5789427Z case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...`` 2024-08-20T21:40:20.5790147Z when loading files saved by Python 2 in Python 3. If this default 2024-08-20T21:40:20.5790973Z is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how 2024-08-20T21:40:20.5791924Z these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them 2024-08-20T21:40:20.5792836Z to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them 2024-08-20T21:40:20.5793649Z as byte arrays which can be decoded later with ``byte_array.decode(...)``. 2024-08-20T21:40:20.5794152Z 2024-08-20T21:40:20.5794251Z Example: 2024-08-20T21:40:20.5794590Z >>> # xdoctest: +SKIP("undefined filepaths") 2024-08-20T21:40:20.5795097Z >>> torch.load("tensors.pt", weights_only=True) 2024-08-20T21:40:20.5795584Z # Load all tensors onto the CPU 2024-08-20T21:40:20.5796208Z >>> torch.load("tensors.pt", map_location=torch.device("cpu"), weights_only=True) 2024-08-20T21:40:20.5796894Z # Load all tensors onto the CPU, using a function 2024-08-20T21:40:20.5797362Z >>> torch.load( 2024-08-20T21:40:20.5797888Z ... "tensors.pt", map_location=lambda storage, loc: storage, weights_only=True 2024-08-20T21:40:20.5798466Z ... ) 2024-08-20T21:40:20.5798762Z # Load all tensors onto GPU 1 2024-08-20T21:40:20.5799147Z >>> torch.load( 2024-08-20T21:40:20.5799458Z ... "tensors.pt", 2024-08-20T21:40:20.5799908Z ... map_location=lambda storage, loc: storage.cuda(1), 2024-08-20T21:40:20.5800406Z ... weights_only=True, 2024-08-20T21:40:20.5800847Z ... ) # type: ignore[attr-defined] 2024-08-20T21:40:20.5801292Z # Map tensors from GPU 1 to GPU 0 2024-08-20T21:40:20.5801926Z >>> torch.load("tensors.pt", map_location={"cuda:1": "cuda:0"}, weights_only=True) 2024-08-20T21:40:20.5802588Z # Load tensor from io.BytesIO object 2024-08-20T21:40:20.5803226Z # Loading from a buffer setting weights_only=False, warning this can be unsafe 2024-08-20T21:40:20.5803886Z >>> with open("tensor.pt", "rb") as f: 2024-08-20T21:40:20.5804338Z ... buffer = io.BytesIO(f.read()) 2024-08-20T21:40:20.5804790Z >>> torch.load(buffer, weights_only=False) 2024-08-20T21:40:20.5805392Z # Load a module with 'ascii' encoding for unpickling 2024-08-20T21:40:20.5806178Z # Loading from a module setting weights_only=False, warning this can be unsafe 2024-08-20T21:40:20.5806933Z >>> torch.load("module.pt", encoding="ascii", weights_only=False) 2024-08-20T21:40:20.5807454Z 2024-08-20T21:40:20.5807996Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:20.5808482Z 2024-08-20T21:40:20.7894474Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/__init__.py line=341. 2024-08-20T21:40:20.7895776Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-08-20T21:40:20.7896474Z Retrieves the CUDA runtime API module. 2024-08-20T21:40:20.7896818Z 2024-08-20T21:40:20.7896856Z 2024-08-20T21:40:20.7897203Z This function initializes the CUDA runtime environment if it is not already 2024-08-20T21:40:20.7898072Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2024-08-20T21:40:20.7898907Z runtime API module provides access to various CUDA runtime functions. 2024-08-20T21:40:20.7899438Z 2024-08-20T21:40:20.7899537Z Args: 2024-08-20T21:40:20.7899808Z ``None`` 2024-08-20T21:40:20.7900005Z 2024-08-20T21:40:20.7900101Z Returns: 2024-08-20T21:40:20.7900564Z module: The CUDA runtime API module (_cudart). 2024-08-20T21:40:20.7900948Z 2024-08-20T21:40:20.7901315Z Raises: 2024-08-20T21:40:20.7901906Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2024-08-20T21:40:20.7902993Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2024-08-20T21:40:20.7903695Z 2024-08-20T21:40:20.7903888Z Example of CUDA operations with profiling: 2024-08-20T21:40:20.7904317Z >>> import torch 2024-08-20T21:40:20.7904768Z >>> from torch.cuda import cudart, check_error 2024-08-20T21:40:20.7905277Z >>> import os 2024-08-20T21:40:20.7905557Z >>> 2024-08-20T21:40:20.7905948Z >>> os.environ['CUDA_PROFILE'] = '1' 2024-08-20T21:40:20.7906381Z >>> 2024-08-20T21:40:20.7906739Z >>> def perform_cuda_operations_with_streams(): 2024-08-20T21:40:20.7907247Z >>> stream = torch.cuda.Stream() 2024-08-20T21:40:20.7907769Z >>> with torch.cuda.stream(stream): 2024-08-20T21:40:20.7908378Z >>> x = torch.randn(100, 100, device='cuda') 2024-08-20T21:40:20.7908955Z >>> y = torch.randn(100, 100, device='cuda') 2024-08-20T21:40:20.7909465Z >>> z = torch.mul(x, y) 2024-08-20T21:40:20.7909910Z >>> return z 2024-08-20T21:40:20.7910200Z >>> 2024-08-20T21:40:20.7910493Z >>> torch.cuda.synchronize() 2024-08-20T21:40:20.7911000Z >>> print("====== Start nsys profiling ======") 2024-08-20T21:40:20.7911557Z >>> check_error(cudart().cudaProfilerStart()) 2024-08-20T21:40:20.7912137Z >>> with torch.autograd.profiler.emit_nvtx(): 2024-08-20T21:40:20.7912692Z >>> result = perform_cuda_operations_with_streams() 2024-08-20T21:40:20.7913268Z >>> print("CUDA operations completed.") 2024-08-20T21:40:20.7913869Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2024-08-20T21:40:20.7914470Z >>> print("====== End nsys profiling ======") 2024-08-20T21:40:20.7914797Z 2024-08-20T21:40:20.7915076Z To run this example and save the profiling information, execute: 2024-08-20T21:40:20.7916208Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2024-08-20T21:40:20.7916901Z 2024-08-20T21:40:20.7917247Z This command profiles the CUDA operations in the provided script and saves 2024-08-20T21:40:20.7918057Z the profiling information to a file named `trace_name.prof`. 2024-08-20T21:40:20.7918932Z The `--profile-from-start off` option ensures that profiling starts only 2024-08-20T21:40:20.7919647Z after the `cudaProfilerStart` call in the script. 2024-08-20T21:40:20.7920601Z The `--csv` and `--print-summary` options format the profiling output as a 2024-08-20T21:40:20.7921303Z CSV file and print a summary, respectively. 2024-08-20T21:40:20.7922109Z The `-o` option specifies the output file name, and the `-f` option forces the 2024-08-20T21:40:20.7922867Z overwrite of the output file if it already exists. 2024-08-20T21:40:20.7923313Z 2024-08-20T21:40:20.7924597Z 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', 1, 2)) 2024-08-20T21:40:20.7925836Z 2024-08-20T21:40:20.7926429Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2024-08-20T21:40:20.7927216Z ^ 2024-08-20T21:40:20.7996680Z msg = Cannot scrape callname=Future.then in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/futures/__init__.py line=101. 2024-08-20T21:40:20.7997972Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:20.7998527Z 2024-08-20T21:40:20.7998833Z Append the given callback function to this ``Future``, which will be run 2024-08-20T21:40:20.7999585Z when the ``Future`` is completed. Multiple callbacks can be added to 2024-08-20T21:40:20.8000313Z the same ``Future``, but the order in which they will be executed cannot 2024-08-20T21:40:20.8001183Z be guaranteed (to enforce a certain order consider chaining: 2024-08-20T21:40:20.8001881Z ``fut.then(cb1).then(cb2)``). The callback must take one argument, which 2024-08-20T21:40:20.8002621Z is the reference to this ``Future``. The callback function can use the 2024-08-20T21:40:20.8003358Z :meth:`value` method to get the value. Note that if this ``Future`` is 2024-08-20T21:40:20.8004098Z already completed, the given callback will be run immediately inline. 2024-08-20T21:40:20.8004550Z 2024-08-20T21:40:20.8004888Z If the ``Future``'s value contains tensors that reside on GPUs, the 2024-08-20T21:40:20.8005629Z callback might be invoked while the async kernels that are populating 2024-08-20T21:40:20.8006525Z those tensors haven't yet finished executing on the device. However, the 2024-08-20T21:40:20.8007447Z callback will be invoked with some dedicated streams set as current 2024-08-20T21:40:20.8008526Z (fetched from a global pool) which will be synchronized with those 2024-08-20T21:40:20.8009272Z kernels. Hence any operation performed by the callback on these tensors 2024-08-20T21:40:20.8010029Z will be scheduled on the device after the kernels complete. In other 2024-08-20T21:40:20.8010831Z words, as long as the callback doesn't switch streams, it can safely 2024-08-20T21:40:20.8011573Z manipulate the result without any additional synchronization. This is 2024-08-20T21:40:20.8012301Z similar to the non-blocking behavior of :meth:`wait`. 2024-08-20T21:40:20.8012662Z 2024-08-20T21:40:20.8012953Z Similarly, if the callback returns a value that contains tensors that 2024-08-20T21:40:20.8013700Z reside on a GPU, it can do so even if the kernels that are producing 2024-08-20T21:40:20.8014442Z these tensors are still running on the device, as long as the callback 2024-08-20T21:40:20.8015229Z didn't change streams during its execution. If one wants to change 2024-08-20T21:40:20.8016025Z streams, one must be careful to re-synchronize them with the original 2024-08-20T21:40:20.8016782Z streams, that is, those that were current when the callback was invoked. 2024-08-20T21:40:20.8017251Z 2024-08-20T21:40:20.8017356Z Args: 2024-08-20T21:40:20.8017757Z callback(``Callable``): a ``Callable`` that takes this ``Future`` as 2024-08-20T21:40:20.8018340Z the only argument. 2024-08-20T21:40:20.8018638Z 2024-08-20T21:40:20.8018746Z Returns: 2024-08-20T21:40:20.8019113Z A new ``Future`` object that holds the return value of the 2024-08-20T21:40:20.8019735Z ``callback`` and will be marked as completed when the given 2024-08-20T21:40:20.8020249Z ``callback`` finishes. 2024-08-20T21:40:20.8020535Z 2024-08-20T21:40:20.8020951Z .. note:: Note that if the callback function throws, either 2024-08-20T21:40:20.8021629Z through the original future being completed with an exception and 2024-08-20T21:40:20.8022338Z calling ``fut.wait()``, or through other code in the callback, the 2024-08-20T21:40:20.8023028Z future returned by ``then`` will be marked appropriately with the 2024-08-20T21:40:20.8023727Z encountered error. However, if this callback later completes 2024-08-20T21:40:20.8024429Z additional futures, those futures are not marked as completed with 2024-08-20T21:40:20.8025170Z an error and the user is responsible for handling completion/waiting 2024-08-20T21:40:20.8025930Z on those futures independently. 2024-08-20T21:40:20.8026220Z 2024-08-20T21:40:20.8026323Z Example:: 2024-08-20T21:40:20.8026668Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2024-08-20T21:40:20.8027123Z >>> def callback(fut): 2024-08-20T21:40:20.8027534Z ... print(f"RPC return value is {fut.wait()}.") 2024-08-20T21:40:20.8028020Z >>> fut = torch.futures.Future() 2024-08-20T21:40:20.8028513Z >>> # The inserted callback will print the return value when 2024-08-20T21:40:20.8029066Z >>> # receiving the response from "worker1" 2024-08-20T21:40:20.8029509Z >>> cb_fut = fut.then(callback) 2024-08-20T21:40:20.8029887Z >>> chain_cb_fut = cb_fut.then( 2024-08-20T21:40:20.8030453Z ... lambda x : print(f"Chained cb done. {x.wait()}") 2024-08-20T21:40:20.8030912Z ... ) 2024-08-20T21:40:20.8031159Z >>> fut.set_result(5) 2024-08-20T21:40:20.8031495Z RPC return value is 5. 2024-08-20T21:40:20.8031838Z Chained cb done. None 2024-08-20T21:40:20.8032053Z 2024-08-20T21:40:20.8032479Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:20.8032981Z 2024-08-20T21:40:20.8033865Z msg = Cannot scrape callname=Future.set_result in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/futures/__init__.py line=209. 2024-08-20T21:40:20.8035165Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:20.8035671Z 2024-08-20T21:40:20.8035973Z Set the result for this ``Future``, which will mark this ``Future`` as 2024-08-20T21:40:20.8036721Z completed and trigger all attached callbacks. Note that a ``Future`` 2024-08-20T21:40:20.8037365Z cannot be marked completed twice. 2024-08-20T21:40:20.8037647Z 2024-08-20T21:40:20.8037939Z If the result contains tensors that reside on GPUs, this method can be 2024-08-20T21:40:20.8038676Z called even if the asynchronous kernels that are populating those 2024-08-20T21:40:20.8039472Z tensors haven't yet completed running on the device, provided that the 2024-08-20T21:40:20.8040234Z streams on which those kernels were enqueued are set as the current ones 2024-08-20T21:40:20.8041065Z when this method is called. Put simply, it's safe to call this method 2024-08-20T21:40:20.8041781Z immediately after launching those kernels, without any additional 2024-08-20T21:40:20.8042601Z synchronization, as long as one doesn't change streams in between. This 2024-08-20T21:40:20.8043374Z method will record events on all the relevant current streams and will 2024-08-20T21:40:20.8044096Z use them to ensure proper scheduling for all the consumers of this 2024-08-20T21:40:20.8044636Z ``Future``. 2024-08-20T21:40:20.8044789Z 2024-08-20T21:40:20.8044898Z Args: 2024-08-20T21:40:20.8045238Z result (object): the result object of this ``Future``. 2024-08-20T21:40:20.8045622Z 2024-08-20T21:40:20.8045722Z Example:: 2024-08-20T21:40:20.8046068Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2024-08-20T21:40:20.8046524Z >>> import threading 2024-08-20T21:40:20.8046843Z >>> import time 2024-08-20T21:40:20.8047165Z >>> def slow_set_future(fut, value): 2024-08-20T21:40:20.8047556Z ... time.sleep(0.5) 2024-08-20T21:40:20.8047904Z ... fut.set_result(value) 2024-08-20T21:40:20.8048293Z >>> fut = torch.futures.Future() 2024-08-20T21:40:20.8048781Z >>> t = threading.Thread( 2024-08-20T21:40:20.8049151Z ... target=slow_set_future, 2024-08-20T21:40:20.8049551Z ... args=(fut, torch.ones(2) * 3) 2024-08-20T21:40:20.8049922Z ... ) 2024-08-20T21:40:20.8050170Z >>> t.start() 2024-08-20T21:40:20.8050461Z >>> print(fut.wait()) 2024-08-20T21:40:20.8050769Z tensor([3., 3.]) 2024-08-20T21:40:20.8051064Z >>> t.join() 2024-08-20T21:40:20.8051236Z 2024-08-20T21:40:20.8051656Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:20.8052146Z 2024-08-20T21:40:20.8210004Z msg = Cannot scrape callname=sum in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/__init__.py line=201. 2024-08-20T21:40:20.8211236Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:20.8211985Z Return the sum of each row of the given sparse tensor. 2024-08-20T21:40:20.8212372Z 2024-08-20T21:40:20.8212703Z Returns the sum of each row of the sparse tensor :attr:`input` in the given 2024-08-20T21:40:20.8213454Z dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions, 2024-08-20T21:40:20.8214163Z reduce over all of them. When sum over all ``sparse_dim``, this method 2024-08-20T21:40:20.8214823Z returns a dense tensor instead of a sparse tensor. 2024-08-20T21:40:20.8215184Z 2024-08-20T21:40:20.8215697Z All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output 2024-08-20T21:40:20.8216465Z tensor having :attr:`dim` fewer dimensions than :attr:`input`. 2024-08-20T21:40:20.8216898Z 2024-08-20T21:40:20.8217188Z During backward, only gradients at ``nnz`` locations of :attr:`input` 2024-08-20T21:40:20.8217975Z will propagate back. Note that the gradients of :attr:`input` is coalesced. 2024-08-20T21:40:20.8218468Z 2024-08-20T21:40:20.8218578Z Args: 2024-08-20T21:40:20.8218880Z input (Tensor): the input sparse tensor 2024-08-20T21:40:20.8219610Z dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce 2024-08-20T21:40:20.8220294Z over all dims. 2024-08-20T21:40:20.8220956Z dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor. 2024-08-20T21:40:20.8221628Z Default: dtype of :attr:`input`. 2024-08-20T21:40:20.8221933Z 2024-08-20T21:40:20.8222066Z Example:: 2024-08-20T21:40:20.8222226Z 2024-08-20T21:40:20.8222324Z >>> nnz = 3 2024-08-20T21:40:20.8222622Z >>> dims = [5, 5, 2, 3] 2024-08-20T21:40:20.8223082Z >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)), 2024-08-20T21:40:20.8223707Z torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz) 2024-08-20T21:40:20.8224293Z >>> V = torch.randn(nnz, dims[2], dims[3]) 2024-08-20T21:40:20.8224763Z >>> size = torch.Size(dims) 2024-08-20T21:40:20.8225279Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-08-20T21:40:20.8225962Z >>> S = torch.sparse_coo_tensor(I, V, size) 2024-08-20T21:40:20.8226398Z >>> S 2024-08-20T21:40:20.8226697Z tensor(indices=tensor([[2, 0, 3], 2024-08-20T21:40:20.8227099Z [2, 4, 1]]), 2024-08-20T21:40:20.8227631Z values=tensor([[[-0.6438, -1.6467, 1.4004], 2024-08-20T21:40:20.8228187Z [ 0.3411, 0.0918, -0.2312]], 2024-08-20T21:40:20.8228508Z 2024-08-20T21:40:20.8228724Z [[ 0.5348, 0.0634, -2.0494], 2024-08-20T21:40:20.8229257Z [-0.7125, -1.0646, 2.1844]], 2024-08-20T21:40:20.8229569Z 2024-08-20T21:40:20.8229797Z [[ 0.1276, 0.1874, -0.6334], 2024-08-20T21:40:20.8230320Z [-1.9682, -0.5340, 0.7483]]]), 2024-08-20T21:40:20.8230839Z size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo) 2024-08-20T21:40:20.8231196Z 2024-08-20T21:40:20.8231474Z # when sum over only part of sparse_dims, return a sparse tensor 2024-08-20T21:40:20.8232145Z >>> torch.sparse.sum(S, [1, 3]) 2024-08-20T21:40:20.8232577Z tensor(indices=tensor([[0, 2, 3]]), 2024-08-20T21:40:20.8233111Z values=tensor([[-1.4512, 0.4073], 2024-08-20T21:40:20.8233609Z [-0.8901, 0.2017], 2024-08-20T21:40:20.8234081Z [-0.3183, -1.7539]]), 2024-08-20T21:40:20.8234568Z size=(5, 2), nnz=3, layout=torch.sparse_coo) 2024-08-20T21:40:20.8234905Z 2024-08-20T21:40:20.8235124Z # when sum over all sparse dim, return a dense tensor 2024-08-20T21:40:20.8235613Z # with summed dims squeezed 2024-08-20T21:40:20.8236025Z >>> torch.sparse.sum(S, [0, 1, 3]) 2024-08-20T21:40:20.8236488Z tensor([-2.6596, -1.1450]) 2024-08-20T21:40:20.8236820Z 2024-08-20T21:40:20.8237361Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:20.8237850Z 2024-08-20T21:40:21.8769033Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py line=473. 2024-08-20T21:40:21.8771383Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-08-20T21:40:21.8772178Z 2024-08-20T21:40:21.8772570Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2024-08-20T21:40:21.8773761Z The submesh created consists of the dimensions and the communicators indicated by 2024-08-20T21:40:21.8774397Z ``mesh_dim_names`` 2024-08-20T21:40:21.8774577Z 2024-08-20T21:40:21.8774685Z Args: 2024-08-20T21:40:21.8775137Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2024-08-20T21:40:21.8775880Z mesh dimension of the DeviceMesh to create the submesh for. 2024-08-20T21:40:21.8776391Z Returns: 2024-08-20T21:40:21.8776648Z A :class:`DeviceMesh` object 2024-08-20T21:40:21.8776909Z 2024-08-20T21:40:21.8777297Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2024-08-20T21:40:21.8777968Z In the first example: 2024-08-20T21:40:21.8778528Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2024-08-20T21:40:21.8779441Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2024-08-20T21:40:21.8780318Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2024-08-20T21:40:21.8781214Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2024-08-20T21:40:21.8782038Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2024-08-20T21:40:21.8782854Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2024-08-20T21:40:21.8783343Z 2024-08-20T21:40:21.8783469Z In the second example: 2024-08-20T21:40:21.8784074Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2024-08-20T21:40:21.8785059Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2024-08-20T21:40:21.8786032Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2024-08-20T21:40:21.8786988Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2024-08-20T21:40:21.8787575Z 2024-08-20T21:40:21.8787688Z Example:: 2024-08-20T21:40:21.8787964Z >>> # xdoctest: +SKIP("no rank") 2024-08-20T21:40:21.8788450Z >>> from torch.distributed.device_mesh import DeviceMesh 2024-08-20T21:40:21.8788935Z >>> 2024-08-20T21:40:21.8789339Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2024-08-20T21:40:21.8790064Z >>> # of cross-host(dim 0), and within-host (dim 1). 2024-08-20T21:40:21.8790747Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2024-08-20T21:40:21.8791393Z >>> tp_mesh = mesh_2d["tp"] 2024-08-20T21:40:21.8791902Z >>> dp_mesh = mesh_2d["dp"] 2024-08-20T21:40:21.8792235Z >>> 2024-08-20T21:40:21.8792495Z >>> # Initialize a 3D mesh. 2024-08-20T21:40:21.8793163Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2024-08-20T21:40:21.8794122Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2024-08-20T21:40:21.8794858Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2024-08-20T21:40:21.8795286Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2024-08-20T21:40:21.8795570Z 2024-08-20T21:40:21.8796636Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83)) 2024-08-20T21:40:21.8797685Z 2024-08-20T21:40:21.8798012Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2024-08-20T21:40:21.8798683Z ^ 2024-08-20T21:40:21.9103218Z msg = Cannot scrape callname=gather_object in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2745. 2024-08-20T21:40:21.9105768Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:21.9106852Z 2024-08-20T21:40:21.9107171Z Gathers picklable objects from the whole group in a single process. 2024-08-20T21:40:21.9107634Z 2024-08-20T21:40:21.9107952Z Similar to :func:`gather`, but Python objects can be passed in. Note that the 2024-08-20T21:40:21.9108635Z object must be picklable in order to be gathered. 2024-08-20T21:40:21.9108979Z 2024-08-20T21:40:21.9109067Z Args: 2024-08-20T21:40:21.9109373Z obj (Any): Input object. Must be picklable. 2024-08-20T21:40:21.9109974Z object_gather_list (list[Any]): Output list. On the ``dst`` rank, it 2024-08-20T21:40:21.9110655Z should be correctly sized as the size of the group for this 2024-08-20T21:40:21.9111449Z collective and will contain the output. Must be ``None`` on non-dst 2024-08-20T21:40:21.9112023Z ranks. (default is ``None``) 2024-08-20T21:40:21.9112808Z dst (int, optional): Destination rank on global process group (regardless of ``group`` argument). (default is 0) 2024-08-20T21:40:21.9113799Z group: (ProcessGroup, optional): The process group to work on. If None, 2024-08-20T21:40:21.9114525Z the default process group will be used. Default is ``None``. 2024-08-20T21:40:21.9114935Z 2024-08-20T21:40:21.9115041Z Returns: 2024-08-20T21:40:21.9115437Z None. On the ``dst`` rank, ``object_gather_list`` will contain the 2024-08-20T21:40:21.9115982Z output of the collective. 2024-08-20T21:40:21.9116218Z 2024-08-20T21:40:21.9116551Z .. note:: Note that this API differs slightly from the gather collective 2024-08-20T21:40:21.9117304Z since it does not provide an async_op handle and thus will be a blocking 2024-08-20T21:40:21.9117876Z call. 2024-08-20T21:40:21.9118027Z 2024-08-20T21:40:21.9118425Z .. note:: For NCCL-based processed groups, internal tensor representations 2024-08-20T21:40:21.9119186Z of objects must be moved to the GPU device before communication takes 2024-08-20T21:40:21.9119898Z place. In this case, the device used is given by 2024-08-20T21:40:21.9120675Z ``torch.cuda.current_device()`` and it is the user's responsiblity to 2024-08-20T21:40:21.9121475Z ensure that this is set so that each rank has an individual GPU, via 2024-08-20T21:40:21.9122113Z ``torch.cuda.set_device()``. 2024-08-20T21:40:21.9122374Z 2024-08-20T21:40:21.9122487Z .. warning:: 2024-08-20T21:40:21.9122950Z :func:`gather_object` uses ``pickle`` module implicitly, which is 2024-08-20T21:40:21.9123733Z known to be insecure. It is possible to construct malicious pickle data 2024-08-20T21:40:21.9124553Z which will execute arbitrary code during unpickling. Only call this 2024-08-20T21:40:21.9125187Z function with data you trust. 2024-08-20T21:40:21.9125603Z 2024-08-20T21:40:21.9125880Z .. warning:: 2024-08-20T21:40:21.9126358Z Calling :func:`gather_object` with GPU tensors is not well supported 2024-08-20T21:40:21.9127344Z and inefficient as it incurs GPU -> CPU transfer since tensors would be 2024-08-20T21:40:21.9128080Z pickled. Please consider using :func:`gather` instead. 2024-08-20T21:40:21.9128470Z 2024-08-20T21:40:21.9128568Z Example:: 2024-08-20T21:40:21.9128952Z >>> # xdoctest: +SKIP("need process group init") 2024-08-20T21:40:21.9129573Z >>> # Note: Process group initialization omitted on each rank. 2024-08-20T21:40:21.9130128Z >>> import torch.distributed as dist 2024-08-20T21:40:21.9130595Z >>> # Assumes world_size of 3. 2024-08-20T21:40:21.9131131Z >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object 2024-08-20T21:40:21.9131736Z >>> output = [None for _ in gather_objects] 2024-08-20T21:40:21.9132177Z >>> dist.gather_object( 2024-08-20T21:40:21.9132602Z ... gather_objects[dist.get_rank()], 2024-08-20T21:40:21.9133082Z ... output if dist.get_rank() == 0 else None, 2024-08-20T21:40:21.9133572Z ... dst=0 2024-08-20T21:40:21.9133825Z ... ) 2024-08-20T21:40:21.9134129Z >>> # On rank 0 2024-08-20T21:40:21.9134411Z >>> output 2024-08-20T21:40:21.9134731Z ['foo', 12, {1: 2}] 2024-08-20T21:40:21.9135091Z 2024-08-20T21:40:21.9135524Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:21.9136048Z 2024-08-20T21:40:21.9278233Z msg = Cannot scrape callname=__doc__ in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/launch.py line=2. 2024-08-20T21:40:21.9280401Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:21.9281289Z 2024-08-20T21:40:21.9281547Z Module ``torch.distributed.launch``. 2024-08-20T21:40:21.9282189Z 2024-08-20T21:40:21.9282791Z ``torch.distributed.launch`` is a module that spawns up multiple distributed 2024-08-20T21:40:21.9283643Z training processes on each of the training nodes. 2024-08-20T21:40:21.9284006Z 2024-08-20T21:40:21.9284123Z .. warning:: 2024-08-20T21:40:21.9284281Z 2024-08-20T21:40:21.9284748Z This module is going to be deprecated in favor of :ref:`torchrun `. 2024-08-20T21:40:21.9285272Z 2024-08-20T21:40:21.9285677Z The utility can be used for single-node distributed training, in which one or 2024-08-20T21:40:21.9286521Z more processes per node will be spawned. The utility can be used for either 2024-08-20T21:40:21.9287307Z CPU training or GPU training. If the utility is used for GPU training, 2024-08-20T21:40:21.9288107Z each distributed process will be operating on a single GPU. This can achieve 2024-08-20T21:40:21.9288971Z well-improved single-node training performance. It can also be used in 2024-08-20T21:40:21.9289867Z multi-node distributed training, by spawning up multiple processes on each node 2024-08-20T21:40:21.9290759Z for well-improved multi-node distributed training performance as well. 2024-08-20T21:40:21.9291532Z This will especially be beneficial for systems with multiple Infiniband 2024-08-20T21:40:21.9292415Z interfaces that have direct-GPU support, since all of them can be utilized for 2024-08-20T21:40:21.9293058Z aggregated communication bandwidth. 2024-08-20T21:40:21.9293334Z 2024-08-20T21:40:21.9293729Z In both cases of single-node distributed training or multi-node distributed 2024-08-20T21:40:21.9294536Z training, this utility will launch the given number of processes per node 2024-08-20T21:40:21.9295402Z (``--nproc-per-node``). If used for GPU training, this number needs to be less 2024-08-20T21:40:21.9296196Z or equal to the number of GPUs on the current system (``nproc_per_node``), 2024-08-20T21:40:21.9296931Z and each process will be operating on a single GPU from *GPU 0 to 2024-08-20T21:40:21.9297532Z GPU (nproc_per_node - 1)*. 2024-08-20T21:40:21.9297754Z 2024-08-20T21:40:21.9297886Z **How to use this module:** 2024-08-20T21:40:21.9298111Z 2024-08-20T21:40:21.9298551Z 1. Single-Node multi-process distributed training 2024-08-20T21:40:21.9298916Z 2024-08-20T21:40:21.9299009Z :: 2024-08-20T21:40:21.9299136Z 2024-08-20T21:40:21.9299535Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2024-08-20T21:40:21.9300319Z YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other 2024-08-20T21:40:21.9300994Z arguments of your training script) 2024-08-20T21:40:21.9301323Z 2024-08-20T21:40:21.9301670Z 2. Multi-Node multi-process distributed training: (e.g. two nodes) 2024-08-20T21:40:21.9302109Z 2024-08-20T21:40:21.9302114Z 2024-08-20T21:40:21.9302314Z Node 1: *(IP: 192.168.1.1, and has a free port: 1234)* 2024-08-20T21:40:21.9302659Z 2024-08-20T21:40:21.9302750Z :: 2024-08-20T21:40:21.9302893Z 2024-08-20T21:40:21.9303270Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2024-08-20T21:40:21.9304018Z --nnodes=2 --node-rank=0 --master-addr="192.168.1.1" 2024-08-20T21:40:21.9304723Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2024-08-20T21:40:21.9305360Z and all other arguments of your training script) 2024-08-20T21:40:21.9305733Z 2024-08-20T21:40:21.9305824Z Node 2: 2024-08-20T21:40:21.9305959Z 2024-08-20T21:40:21.9306062Z :: 2024-08-20T21:40:21.9306189Z 2024-08-20T21:40:21.9306683Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2024-08-20T21:40:21.9307429Z --nnodes=2 --node-rank=1 --master-addr="192.168.1.1" 2024-08-20T21:40:21.9308149Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2024-08-20T21:40:21.9308774Z and all other arguments of your training script) 2024-08-20T21:40:21.9309152Z 2024-08-20T21:40:21.9309374Z 3. To look up what optional arguments this module offers: 2024-08-20T21:40:21.9309752Z 2024-08-20T21:40:21.9309857Z :: 2024-08-20T21:40:21.9309983Z 2024-08-20T21:40:21.9310216Z python -m torch.distributed.launch --help 2024-08-20T21:40:21.9310555Z 2024-08-20T21:40:21.9310560Z 2024-08-20T21:40:21.9310673Z **Important Notices:** 2024-08-20T21:40:21.9310887Z 2024-08-20T21:40:21.9311192Z 1. This utility and multi-process distributed (single-node or 2024-08-20T21:40:21.9311992Z multi-node) GPU training currently only achieves the best performance using 2024-08-20T21:40:21.9312817Z the NCCL distributed backend. Thus NCCL backend is the recommended backend to 2024-08-20T21:40:21.9313444Z use for GPU training. 2024-08-20T21:40:21.9313640Z 2024-08-20T21:40:21.9314019Z 2. In your training program, you must parse the command-line argument: 2024-08-20T21:40:21.9314845Z ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module. 2024-08-20T21:40:21.9315629Z If your training program uses GPUs, you should ensure that your code only 2024-08-20T21:40:21.9316380Z runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by: 2024-08-20T21:40:21.9316808Z 2024-08-20T21:40:21.9316945Z Parsing the local_rank argument 2024-08-20T21:40:21.9317204Z 2024-08-20T21:40:21.9317294Z :: 2024-08-20T21:40:21.9317433Z 2024-08-20T21:40:21.9317544Z >>> # xdoctest: +SKIP 2024-08-20T21:40:21.9317871Z >>> import argparse 2024-08-20T21:40:21.9318220Z >>> parser = argparse.ArgumentParser() 2024-08-20T21:40:21.9318867Z >>> parser.add_argument("--local-rank", "--local_rank", type=int) 2024-08-20T21:40:21.9319416Z >>> args = parser.parse_args() 2024-08-20T21:40:21.9319678Z 2024-08-20T21:40:21.9319828Z Set your device to local rank using either 2024-08-20T21:40:21.9320147Z 2024-08-20T21:40:21.9320234Z :: 2024-08-20T21:40:21.9320359Z 2024-08-20T21:40:21.9320637Z >>> torch.cuda.set_device(args.local_rank) # before your code runs 2024-08-20T21:40:21.9321064Z 2024-08-20T21:40:21.9321150Z or 2024-08-20T21:40:21.9321290Z 2024-08-20T21:40:21.9321377Z :: 2024-08-20T21:40:21.9321514Z 2024-08-20T21:40:21.9321676Z >>> with torch.cuda.device(args.local_rank): 2024-08-20T21:40:21.9322121Z >>> # your code to run 2024-08-20T21:40:21.9322520Z >>> ... 2024-08-20T21:40:21.9322696Z 2024-08-20T21:40:21.9322813Z .. versionchanged:: 2.0.0 2024-08-20T21:40:21.9323029Z 2024-08-20T21:40:21.9323455Z The launcher will passes the ``--local-rank=`` argument to your script. 2024-08-20T21:40:21.9324350Z From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the 2024-08-20T21:40:21.9325084Z previously used underscored ``--local_rank``. 2024-08-20T21:40:21.9325413Z 2024-08-20T21:40:21.9325977Z For backward compatibility, it may be necessary for users to handle both 2024-08-20T21:40:21.9326911Z cases in their argument parsing code. This means including both ``"--local-rank"`` 2024-08-20T21:40:21.9327817Z and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is 2024-08-20T21:40:21.9328624Z provided, the launcher will trigger an error: "error: unrecognized arguments: 2024-08-20T21:40:21.9329514Z --local-rank=". For training code that only supports PyTorch 2.0.0+, 2024-08-20T21:40:21.9330227Z including ``"--local-rank"`` should be sufficient. 2024-08-20T21:40:21.9330587Z 2024-08-20T21:40:21.9330912Z 3. In your training program, you are supposed to call the following function 2024-08-20T21:40:21.9331732Z at the beginning to start the distributed backend. It is strongly recommended 2024-08-20T21:40:21.9332659Z that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work, 2024-08-20T21:40:21.9333391Z but ``env://`` is the one that is officially supported by this module. 2024-08-20T21:40:21.9333825Z 2024-08-20T21:40:21.9333933Z :: 2024-08-20T21:40:21.9334059Z 2024-08-20T21:40:21.9334396Z >>> torch.distributed.init_process_group(backend='YOUR BACKEND', 2024-08-20T21:40:21.9335077Z >>> init_method='env://') 2024-08-20T21:40:21.9335429Z 2024-08-20T21:40:21.9335753Z 4. In your training program, you can either use regular distributed functions 2024-08-20T21:40:21.9336583Z or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your 2024-08-20T21:40:21.9337340Z training program uses GPUs for training and you would like to use 2024-08-20T21:40:21.9338024Z :func:`torch.nn.parallel.DistributedDataParallel` module, 2024-08-20T21:40:21.9338560Z here is how to configure it. 2024-08-20T21:40:21.9338792Z 2024-08-20T21:40:21.9338882Z :: 2024-08-20T21:40:21.9350801Z 2024-08-20T21:40:21.9351155Z >>> model = torch.nn.parallel.DistributedDataParallel(model, 2024-08-20T21:40:21.9351814Z >>> device_ids=[args.local_rank], 2024-08-20T21:40:21.9352383Z >>> output_device=args.local_rank) 2024-08-20T21:40:21.9352771Z 2024-08-20T21:40:21.9353288Z Please ensure that ``device_ids`` argument is set to be the only GPU device id 2024-08-20T21:40:21.9354131Z that your code will be operating on. This is generally the local rank of the 2024-08-20T21:40:21.9354954Z process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``, 2024-08-20T21:40:21.9355746Z and ``output_device`` needs to be ``args.local_rank`` in order to use this 2024-08-20T21:40:21.9356304Z utility 2024-08-20T21:40:21.9356444Z 2024-08-20T21:40:21.9356800Z 5. Another way to pass ``local_rank`` to the subprocesses via environment variable 2024-08-20T21:40:21.9357600Z ``LOCAL_RANK``. This behavior is enabled when you launch the script with 2024-08-20T21:40:21.9358516Z ``--use-env=True``. You must adjust the subprocess example above to replace 2024-08-20T21:40:21.9359319Z ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher 2024-08-20T21:40:21.9360023Z will not pass ``--local-rank`` when you specify this flag. 2024-08-20T21:40:21.9360423Z 2024-08-20T21:40:21.9360535Z .. warning:: 2024-08-20T21:40:21.9360693Z 2024-08-20T21:40:21.9360982Z ``local_rank`` is NOT globally unique: it is only unique per process 2024-08-20T21:40:21.9361746Z on a machine. Thus, don't use it to decide if you should, e.g., 2024-08-20T21:40:21.9362491Z write to a networked filesystem. See 2024-08-20T21:40:21.9363093Z https://github.com/pytorch/pytorch/issues/12042 for an example of 2024-08-20T21:40:21.9363873Z how things can go wrong if you don't do this correctly. 2024-08-20T21:40:21.9364349Z 2024-08-20T21:40:21.9364354Z 2024-08-20T21:40:21.9364358Z 2024-08-20T21:40:21.9364369Z 2024-08-20T21:40:21.9364780Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:21.9365285Z 2024-08-20T21:40:21.9662749Z msg = Cannot scrape callname=DistributedOptimizer in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/optimizer.py line=130. 2024-08-20T21:40:21.9665284Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:21.9666245Z 2024-08-20T21:40:21.9666881Z DistributedOptimizer takes remote references to parameters scattered 2024-08-20T21:40:21.9667898Z across workers and applies the given optimizer locally for each parameter. 2024-08-20T21:40:21.9668417Z 2024-08-20T21:40:21.9668741Z This class uses :meth:`~torch.distributed.autograd.get_gradients` in order 2024-08-20T21:40:21.9669430Z to retrieve the gradients for specific parameters. 2024-08-20T21:40:21.9669783Z 2024-08-20T21:40:21.9669909Z Concurrent calls to 2024-08-20T21:40:21.9670368Z :meth:`~torch.distributed.optim.DistributedOptimizer.step`, 2024-08-20T21:40:21.9671235Z either from the same or different clients, will 2024-08-20T21:40:21.9671975Z be serialized on each worker -- as each worker's optimizer can only work 2024-08-20T21:40:21.9672738Z on one set of gradients at a time. However, there is no guarantee that 2024-08-20T21:40:21.9673601Z the full forward-backward-optimizer sequence will execute for one client 2024-08-20T21:40:21.9674497Z at a time. This means that the gradients being applied may not correspond 2024-08-20T21:40:21.9675506Z to the latest forward pass executed on a given worker. Also, there is no 2024-08-20T21:40:21.9676161Z guaranteed ordering across workers. 2024-08-20T21:40:21.9676657Z 2024-08-20T21:40:21.9677218Z `DistributedOptimizer` creates the local optimizer with TorchScript enabled 2024-08-20T21:40:21.9678522Z by default, so that optimizer updates are not blocked by the Python Global 2024-08-20T21:40:21.9679397Z Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed 2024-08-20T21:40:21.9680305Z Model Parallel). This feature is currently enabled for most optimizers. You 2024-08-20T21:40:21.9681211Z can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support 2024-08-20T21:40:21.9681908Z for your own custom optimizers. 2024-08-20T21:40:21.9682239Z 2024-08-20T21:40:21.9682330Z Args: 2024-08-20T21:40:21.9682729Z optimizer_class (optim.Optimizer): the class of optimizer to 2024-08-20T21:40:21.9683330Z instantiate on each worker. 2024-08-20T21:40:21.9683941Z params_rref (list[RRef]): list of RRefs to local or remote parameters 2024-08-20T21:40:21.9684561Z to optimize. 2024-08-20T21:40:21.9685043Z args: arguments to pass to the optimizer constructor on each worker. 2024-08-20T21:40:21.9685870Z kwargs: arguments to pass to the optimizer constructor on each worker. 2024-08-20T21:40:21.9686377Z 2024-08-20T21:40:21.9686503Z Example:: 2024-08-20T21:40:21.9686840Z >>> # xdoctest: +SKIP("distributed") 2024-08-20T21:40:21.9687365Z >>> import torch.distributed.autograd as dist_autograd 2024-08-20T21:40:21.9687962Z >>> import torch.distributed.rpc as rpc 2024-08-20T21:40:21.9688452Z >>> from torch import optim 2024-08-20T21:40:21.9689022Z >>> from torch.distributed.optim import DistributedOptimizer 2024-08-20T21:40:21.9689537Z >>> 2024-08-20T21:40:21.9689893Z >>> with dist_autograd.context() as context_id: 2024-08-20T21:40:21.9690352Z >>> # Forward pass. 2024-08-20T21:40:21.9690900Z >>> rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3)) 2024-08-20T21:40:21.9691661Z >>> rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1)) 2024-08-20T21:40:21.9692450Z >>> loss = rref1.to_here() + rref2.to_here() 2024-08-20T21:40:21.9692933Z >>> 2024-08-20T21:40:21.9693197Z >>> # Backward pass. 2024-08-20T21:40:21.9693662Z >>> dist_autograd.backward(context_id, [loss.sum()]) 2024-08-20T21:40:21.9694126Z >>> 2024-08-20T21:40:21.9694433Z >>> # Optimizer. 2024-08-20T21:40:21.9694789Z >>> dist_optim = DistributedOptimizer( 2024-08-20T21:40:21.9695271Z >>> optim.SGD, 2024-08-20T21:40:21.9695589Z >>> [rref1, rref2], 2024-08-20T21:40:21.9695958Z >>> lr=0.05, 2024-08-20T21:40:21.9696245Z >>> ) 2024-08-20T21:40:21.9696528Z >>> dist_optim.step(context_id) 2024-08-20T21:40:21.9696860Z 2024-08-20T21:40:21.9697055Z __ https://github.com/pytorch/tutorials/pull/1465 2024-08-20T21:40:21.9697468Z 2024-08-20T21:40:21.9697928Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:21.9698475Z 2024-08-20T21:40:21.9699607Z msg = Cannot scrape callname=PostLocalSGDOptimizer in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9. 2024-08-20T21:40:21.9701241Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:21.9701751Z 2024-08-20T21:40:21.9702453Z Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD `_, 2024-08-20T21:40:21.9703434Z This optimizer runs local optimizer at every step. 2024-08-20T21:40:21.9704339Z After the warm-up stage, it averages parameters periodically afer the local optimizer is applied. 2024-08-20T21:40:21.9704960Z 2024-08-20T21:40:21.9705064Z Args: 2024-08-20T21:40:21.9705320Z optim: The local optimizer. 2024-08-20T21:40:21.9706008Z averager: A model averager instance to run post-localSGD algorithm. 2024-08-20T21:40:21.9706461Z 2024-08-20T21:40:21.9706576Z Example:: 2024-08-20T21:40:21.9706756Z 2024-08-20T21:40:21.9706926Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:21.9707364Z >>> import torch 2024-08-20T21:40:21.9707708Z >>> import torch.distributed as dist 2024-08-20T21:40:21.9708355Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2024-08-20T21:40:21.9709010Z >>> import torch.nn as nn 2024-08-20T21:40:21.9709511Z >>> from torch.distributed.optim import PostLocalSGDOptimizer 2024-08-20T21:40:21.9710300Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2024-08-20T21:40:21.9710964Z >>> PostLocalSGDState, 2024-08-20T21:40:21.9711319Z >>> post_localSGD_hook, 2024-08-20T21:40:21.9711641Z >>> ) 2024-08-20T21:40:21.9711886Z >>> 2024-08-20T21:40:21.9712230Z >>> model = nn.parallel.DistributedDataParallel( 2024-08-20T21:40:21.9712835Z >>> module, device_ids=[rank], output_device=rank 2024-08-20T21:40:21.9713282Z >>> ) 2024-08-20T21:40:21.9713525Z >>> 2024-08-20T21:40:21.9713947Z >>> # Register a post-localSGD communication hook. 2024-08-20T21:40:21.9714687Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2024-08-20T21:40:21.9715449Z >>> model.register_comm_hook(state, post_localSGD_hook) 2024-08-20T21:40:21.9715907Z >>> 2024-08-20T21:40:21.9716395Z >>> # Create a post-localSGD optimizer that wraps a local optimizer. 2024-08-20T21:40:21.9717196Z >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as 2024-08-20T21:40:21.9717923Z >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2024-08-20T21:40:21.9718590Z >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01) 2024-08-20T21:40:21.9719179Z >>> opt = PostLocalSGDOptimizer( 2024-08-20T21:40:21.9719579Z >>> optim=local_optim, 2024-08-20T21:40:21.9720144Z >>> averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2024-08-20T21:40:21.9720734Z >>> ) 2024-08-20T21:40:21.9720968Z >>> 2024-08-20T21:40:21.9721517Z >>> # In the first 100 steps, DDP runs global gradient averaging at every step. 2024-08-20T21:40:21.9722530Z >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default), 2024-08-20T21:40:21.9723734Z >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer. 2024-08-20T21:40:21.9724538Z >>> for step in range(0, 200): 2024-08-20T21:40:21.9724921Z >>> opt.zero_grad() 2024-08-20T21:40:21.9725285Z >>> loss = loss_fn(output, labels) 2024-08-20T21:40:21.9725887Z >>> loss.backward() 2024-08-20T21:40:21.9726232Z >>> opt.step() 2024-08-20T21:40:21.9726427Z 2024-08-20T21:40:21.9726849Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:21.9727337Z 2024-08-20T21:40:21.9787779Z msg = Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=282. 2024-08-20T21:40:21.9790412Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:21.9790924Z 2024-08-20T21:40:21.9791523Z Wrap an arbitrary :class:`optim.Optimizer ` and shards its states across ranks in the group. 2024-08-20T21:40:21.9792230Z 2024-08-20T21:40:21.9792576Z The sharing is done as described by ZeRO_. 2024-08-20T21:40:21.9792885Z 2024-08-20T21:40:21.9793070Z The local optimizer instance in each rank is only 2024-08-20T21:40:21.9793736Z responsible for updating approximately ``1 / world_size`` parameters and 2024-08-20T21:40:21.9794490Z hence only needs to keep ``1 / world_size`` optimizer states. After 2024-08-20T21:40:21.9795267Z parameters are updated locally, each rank will broadcast its parameters to 2024-08-20T21:40:21.9796001Z all other peers to keep all model replicas in the same state. 2024-08-20T21:40:21.9796664Z ``ZeroRedundancyOptimizer`` can be used in conjunction with 2024-08-20T21:40:21.9797511Z :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak 2024-08-20T21:40:21.9798133Z memory consumption. 2024-08-20T21:40:21.9798338Z 2024-08-20T21:40:21.9798739Z ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number 2024-08-20T21:40:21.9799562Z of parameters at each rank. Each parameter belongs to a single rank and is 2024-08-20T21:40:21.9800374Z not divided among ranks. The partition is arbitrary and might not match the 2024-08-20T21:40:21.9801033Z the parameter registration or usage order. 2024-08-20T21:40:21.9801346Z 2024-08-20T21:40:21.9801458Z Arguments: 2024-08-20T21:40:21.9801861Z params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s 2024-08-20T21:40:21.9802549Z or :class:`dict` s giving all parameters, which will be sharded 2024-08-20T21:40:21.9803090Z across ranks. 2024-08-20T21:40:21.9803286Z 2024-08-20T21:40:21.9803402Z Keyword Args: 2024-08-20T21:40:21.9803936Z optimizer_class (:class:`torch.nn.Optimizer`): the class of the local 2024-08-20T21:40:21.9804506Z optimizer. 2024-08-20T21:40:21.9804966Z process_group (``ProcessGroup``, optional): ``torch.distributed`` 2024-08-20T21:40:21.9805651Z ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by 2024-08-20T21:40:21.9806266Z :meth:`torch.distributed.init_process_group`). 2024-08-20T21:40:21.9806923Z parameters_as_bucket_view (bool, optional): if ``True``, parameters are 2024-08-20T21:40:21.9807668Z packed into buckets to speed up communication, and ``param.data`` 2024-08-20T21:40:21.9808396Z fields point to bucket views at different offsets; if ``False``, 2024-08-20T21:40:21.9809108Z each individual parameter is communicated separately, and each 2024-08-20T21:40:21.9809730Z ``params.data`` stays intact (default: ``False``). 2024-08-20T21:40:21.9810348Z overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is 2024-08-20T21:40:21.9811120Z overlapped with :class:`DistributedDataParallel` 's gradient 2024-08-20T21:40:21.9811920Z synchronization; this requires (1) either a functional optimizer 2024-08-20T21:40:21.9812619Z for the ``optimizer_class`` argument or one with a functional 2024-08-20T21:40:21.9813274Z equivalent and (2) registering a DDP communication hook 2024-08-20T21:40:21.9813934Z constructed from one of the functions in ``ddp_zero_hook.py``; 2024-08-20T21:40:21.9814574Z parameters are packed into buckets matching those in 2024-08-20T21:40:21.9815177Z :class:`DistributedDataParallel`, meaning that the 2024-08-20T21:40:21.9815752Z ``parameters_as_bucket_view`` argument is ignored. 2024-08-20T21:40:21.9816365Z If ``False``, :meth:`step` runs disjointly after the backward pass 2024-08-20T21:40:21.9816906Z (per normal). 2024-08-20T21:40:21.9817222Z (default: ``False``) 2024-08-20T21:40:21.9817725Z **defaults: any trailing arguments, which are forwarded to the local 2024-08-20T21:40:21.9818284Z optimizer. 2024-08-20T21:40:21.9818465Z 2024-08-20T21:40:21.9818587Z Example:: 2024-08-20T21:40:21.9818735Z 2024-08-20T21:40:21.9818849Z >>> # xdoctest: +SKIP 2024-08-20T21:40:21.9819243Z >>> import torch.nn as nn 2024-08-20T21:40:21.9819755Z >>> from torch.distributed.optim import ZeroRedundancyOptimizer 2024-08-20T21:40:21.9820540Z >>> from torch.nn.parallel import DistributedDataParallel as DDP 2024-08-20T21:40:21.9821753Z >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)]) 2024-08-20T21:40:21.9822388Z >>> ddp = DDP(model, device_ids=[rank]) 2024-08-20T21:40:21.9822834Z >>> opt = ZeroRedundancyOptimizer( 2024-08-20T21:40:21.9823259Z >>> ddp.parameters(), 2024-08-20T21:40:21.9823656Z >>> optimizer_class=torch.optim.Adam, 2024-08-20T21:40:21.9824062Z >>> lr=0.01 2024-08-20T21:40:21.9824343Z >>> ) 2024-08-20T21:40:21.9824620Z >>> ddp(inputs).sum().backward() 2024-08-20T21:40:21.9824987Z >>> opt.step() 2024-08-20T21:40:21.9825181Z 2024-08-20T21:40:21.9825287Z .. warning:: 2024-08-20T21:40:21.9825963Z Currently, ``ZeroRedundancyOptimizer`` requires that all of the 2024-08-20T21:40:21.9826675Z passed-in parameters are the same dense type. 2024-08-20T21:40:21.9827031Z 2024-08-20T21:40:21.9827135Z .. warning:: 2024-08-20T21:40:21.9827598Z If you pass ``overlap_with_ddp=True``, be wary of the following: Given 2024-08-20T21:40:21.9828340Z the way that overlapping :class:`DistributedDataParallel` with 2024-08-20T21:40:21.9829069Z :class:`ZeroRedundancyOptimizer` is currently implemented, the first 2024-08-20T21:40:21.9829838Z two or three training iterations do not perform parameter updates in 2024-08-20T21:40:21.9830559Z the optimizer step, depending on if ``static_graph=False`` or 2024-08-20T21:40:21.9831204Z ``static_graph=True``, respectively. This is because it needs 2024-08-20T21:40:21.9831850Z information about the gradient bucketing strategy used by 2024-08-20T21:40:21.9832546Z :class:`DistributedDataParallel`, which is not finalized until the 2024-08-20T21:40:21.9833258Z second forward pass if ``static_graph=False`` or until the third 2024-08-20T21:40:21.9834000Z forward pass if ``static_graph=True``. To adjust for this, one option 2024-08-20T21:40:21.9834585Z is to prepend dummy inputs. 2024-08-20T21:40:21.9834845Z 2024-08-20T21:40:21.9835172Z .. warning:: ZeroRedundancyOptimizer is experimental and subject to change. 2024-08-20T21:40:21.9835680Z 2024-08-20T21:40:21.9835841Z .. _ZeRO: https://arxiv.org/abs/1910.02054 2024-08-20T21:40:21.9836164Z 2024-08-20T21:40:21.9836168Z 2024-08-20T21:40:21.9836579Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:21.9837069Z 2024-08-20T21:40:22.0212515Z msg = Cannot scrape callname=init_from_local_shards in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361. 2024-08-20T21:40:22.0215595Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.0216317Z 2024-08-20T21:40:22.0216642Z Creates an :class:`ShardedTensor` from local shards and the global metadata. 2024-08-20T21:40:22.0217341Z Needs to be called on all ranks in an SPMD fashion. 2024-08-20T21:40:22.0217709Z 2024-08-20T21:40:22.0217800Z Args: 2024-08-20T21:40:22.0218319Z local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list 2024-08-20T21:40:22.0219072Z of shards that represent the local shards on this rank. 2024-08-20T21:40:22.0219783Z global_size (int...): a list, tuple, or `torch.Size` of integers defining the 2024-08-20T21:40:22.0220496Z shape of the overall sharded tensor. 2024-08-20T21:40:22.0220837Z 2024-08-20T21:40:22.0220938Z Keyword args: 2024-08-20T21:40:22.0221455Z process_group (ProcessGroup, optional): The process group to work on. If None, 2024-08-20T21:40:22.0222137Z the default process group will be used. 2024-08-20T21:40:22.0222684Z init_rrefs (bool, optional): Whether or not to initialize 2024-08-20T21:40:22.0223358Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2024-08-20T21:40:22.0224072Z Need to initialize the RPC Framework if specified as ``True``. 2024-08-20T21:40:22.0224605Z Default: ``False``. 2024-08-20T21:40:22.0224844Z 2024-08-20T21:40:22.0225080Z Returns: 2024-08-20T21:40:22.0225437Z A :class:`ShardedTensor` object handle on this rank 2024-08-20T21:40:22.0225980Z 2024-08-20T21:40:22.0225985Z 2024-08-20T21:40:22.0226098Z Examples: 2024-08-20T21:40:22.0226592Z Suppose we want construct a sharded tensor on two ranks, global size = (10, 5), 2024-08-20T21:40:22.0227374Z each shard have a (5, 5) local tensor, we can do it like below: 2024-08-20T21:40:22.0227790Z 2024-08-20T21:40:22.0227907Z on rank 0: 2024-08-20T21:40:22.0228223Z >>> # xdoctest: +SKIP("not distributed") 2024-08-20T21:40:22.0228701Z >>> local_shard_metadata = ShardMetadata( 2024-08-20T21:40:22.0229147Z >>> shard_offsets=[0, 0], 2024-08-20T21:40:22.0229512Z >>> shard_lengths=[5, 5], 2024-08-20T21:40:22.0229902Z >>> placement="rank:0/cuda:0" 2024-08-20T21:40:22.0230284Z >>> ) 2024-08-20T21:40:22.0230682Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2024-08-20T21:40:22.0231360Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2024-08-20T21:40:22.0231778Z 2024-08-20T21:40:22.0231892Z on rank 1: 2024-08-20T21:40:22.0232205Z >>> # xdoctest: +SKIP("not distributed") 2024-08-20T21:40:22.0232690Z >>> local_shard_metadata = ShardMetadata( 2024-08-20T21:40:22.0233128Z >>> shard_offsets=[5, 0], 2024-08-20T21:40:22.0233489Z >>> shard_lengths=[5, 5], 2024-08-20T21:40:22.0233873Z >>> placement="rank:1/cuda:1" 2024-08-20T21:40:22.0234246Z >>> ) 2024-08-20T21:40:22.0234639Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2024-08-20T21:40:22.0235324Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2024-08-20T21:40:22.0235738Z 2024-08-20T21:40:22.0236194Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.0236686Z 2024-08-20T21:40:22.0316661Z msg = Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=784. 2024-08-20T21:40:22.0319736Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.0320670Z 2024-08-20T21:40:22.0321308Z Initialize a ShardedTensor given only one local tensor, global sharded tensor 2024-08-20T21:40:22.0322523Z size and sharding spec on each rank. 2024-08-20T21:40:22.0323012Z 2024-08-20T21:40:22.0323194Z Args: 2024-08-20T21:40:22.0324005Z local_tensor (Tensor): Single tensor of local shard stored in each rank. 2024-08-20T21:40:22.0325539Z sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): 2024-08-20T21:40:22.0327221Z The specification describing how to shard the Tensor. 2024-08-20T21:40:22.0328265Z global_size (Sequence[int]): Size of the sharded tensor. 2024-08-20T21:40:22.0329567Z process_group (ProcessGroup, optional): The process group to aggregate on. 2024-08-20T21:40:22.0330703Z Default: None 2024-08-20T21:40:22.0331457Z init_rrefs (bool, optional): Whether or not to initialize 2024-08-20T21:40:22.0332650Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2024-08-20T21:40:22.0333863Z Need to initialize the RPC Framework if specified as ``True``. 2024-08-20T21:40:22.0334852Z Default: ``False``. 2024-08-20T21:40:22.0335266Z 2024-08-20T21:40:22.0335433Z Returns: 2024-08-20T21:40:22.0336298Z A :class:`ShardedTensor` sharded based on the given sharding_spec with local 2024-08-20T21:40:22.0337453Z tensor stored in the current rank. 2024-08-20T21:40:22.0337982Z 2024-08-20T21:40:22.0338144Z Examples: 2024-08-20T21:40:22.0338609Z >>> # xdoctest: +SKIP 2024-08-20T21:40:22.0339309Z >>> # All tensors below are of torch.int64 type. 2024-08-20T21:40:22.0340199Z >>> # We have 2 process groups, 2 ranks. 2024-08-20T21:40:22.0341307Z >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank 2024-08-20T21:40:22.0342486Z >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2])) 2024-08-20T21:40:22.0343697Z >>> local_tensor 2024-08-20T21:40:22.0344267Z tensor([[1, 2, 3, 4]]) # Rank 0 2024-08-20T21:40:22.0344964Z tensor([[3, 4, 5, 6]]) # Rank 1 2024-08-20T21:40:22.0345616Z >>> sharding_dim = 0 2024-08-20T21:40:22.0346281Z >>> sharding_spec = ChunkShardingSpec( 2024-08-20T21:40:22.0347078Z dim=sharding_dim, 2024-08-20T21:40:22.0347665Z placements=[ 2024-08-20T21:40:22.0348226Z "rank:0/cuda:0", 2024-08-20T21:40:22.0348872Z "rank:1/cuda:1", 2024-08-20T21:40:22.0349484Z ], 2024-08-20T21:40:22.0349916Z ) 2024-08-20T21:40:22.0350787Z >>> st = ShardedTensor._init_from_local_tensor(local_tensor, sharding_spec, [2, 4]) 2024-08-20T21:40:22.0351915Z >>> st 2024-08-20T21:40:22.0352386Z ShardedTensor( 2024-08-20T21:40:22.0352921Z ShardedTensorMetadata( 2024-08-20T21:40:22.0353548Z shards_metadata=[ 2024-08-20T21:40:22.0354598Z ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0), 2024-08-20T21:40:22.0356164Z ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1), 2024-08-20T21:40:22.0357245Z ], 2024-08-20T21:40:22.0357767Z size=torch.Size([2, 4]) 2024-08-20T21:40:22.0358412Z ) 2024-08-20T21:40:22.0358847Z >>> st.local_tensor() 2024-08-20T21:40:22.0359448Z tensor([1, 2, 3, 4]) # Rank 0 2024-08-20T21:40:22.0360125Z tensor([3, 4, 5, 6]) # Rank 1 2024-08-20T21:40:22.0360891Z 2024-08-20T21:40:22.0361579Z Warning: This API is experimental and subject to change. It lacks of a fully across 2024-08-20T21:40:22.0363225Z rank validations, and we only validate the local shard on the current rank. 2024-08-20T21:40:22.0364771Z We fully rely on the user to ensure local tensor is sharded based on the 2024-08-20T21:40:22.0365844Z sharding spec. 2024-08-20T21:40:22.0366218Z 2024-08-20T21:40:22.0367057Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.0368022Z 2024-08-20T21:40:22.0370116Z msg = Cannot scrape callname=ShardedTensor.reshard in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1023. 2024-08-20T21:40:22.0372901Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.0373858Z 2024-08-20T21:40:22.0374525Z Reshard a sharded tensor given the ``resharding_spec``. For now, we only support 2024-08-20T21:40:22.0375663Z single local shard. 2024-08-20T21:40:22.0376022Z 2024-08-20T21:40:22.0376924Z If ``resharding_spec`` is same as the original one, this becomes a no-op. 2024-08-20T21:40:22.0378437Z If only ``resharding_spec`` shares the same sharding dim with the original one, 2024-08-20T21:40:22.0379627Z we swap local shards directly. 2024-08-20T21:40:22.0380855Z For more generic cases, we merge different shards across different ranks and split 2024-08-20T21:40:22.0382542Z the local shards based on the ``resharding_spec`` via `all_to_all` collective API. 2024-08-20T21:40:22.0383533Z 2024-08-20T21:40:22.0383715Z Args: 2024-08-20T21:40:22.0384682Z resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The 2024-08-20T21:40:22.0386125Z specification describing how the tensor is sharded. 2024-08-20T21:40:22.0386807Z 2024-08-20T21:40:22.0386998Z Returns: 2024-08-20T21:40:22.0387735Z A :class:`ShardedTensor` object whose local shards are resharded. 2024-08-20T21:40:22.0388510Z 2024-08-20T21:40:22.0388683Z Examples: 2024-08-20T21:40:22.0389154Z >>> # xdoctest: +SKIP 2024-08-20T21:40:22.0389819Z >>> # We have 2 process groups, 2 ranks. 2024-08-20T21:40:22.0390830Z >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank 2024-08-20T21:40:22.0391863Z >>> tensor = torch.stack([tensor, tensor]) 2024-08-20T21:40:22.0392568Z >>> tensor 2024-08-20T21:40:22.0393198Z tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0 2024-08-20T21:40:22.0394203Z tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1 2024-08-20T21:40:22.0395019Z tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2 2024-08-20T21:40:22.0395844Z tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3 2024-08-20T21:40:22.0396642Z >>> sharding_dim = 0 2024-08-20T21:40:22.0397267Z >>> spec = ChunkShardingSpec( 2024-08-20T21:40:22.0397955Z dim=sharding_dim, 2024-08-20T21:40:22.0398577Z placements=[ 2024-08-20T21:40:22.0399156Z "rank:0/cuda:0", 2024-08-20T21:40:22.0399765Z "rank:1/cuda:1", 2024-08-20T21:40:22.0400391Z "rank:2/cuda:2", 2024-08-20T21:40:22.0401000Z "rank:3/cuda:3", 2024-08-20T21:40:22.0401591Z ], 2024-08-20T21:40:22.0402049Z ) 2024-08-20T21:40:22.0402515Z >>> current_offsets = [0] * 2 2024-08-20T21:40:22.0403208Z >>> current_offsets[0] = rank * 2 2024-08-20T21:40:22.0403959Z >>> shard_metadata = ShardMetadata( 2024-08-20T21:40:22.0404822Z shard_offsets=copy.deepcopy(current_offsets), 2024-08-20T21:40:22.0405710Z shard_sizes=tensor.size(), 2024-08-20T21:40:22.0406538Z placement=spec.placements[rank], 2024-08-20T21:40:22.0407282Z ) 2024-08-20T21:40:22.0407733Z >>> local_shards = [ 2024-08-20T21:40:22.0408294Z Shard( 2024-08-20T21:40:22.0408796Z tensor=tensor, 2024-08-20T21:40:22.0409424Z metadata=shard_metadata, 2024-08-20T21:40:22.0410137Z ) 2024-08-20T21:40:22.0410580Z ] 2024-08-20T21:40:22.0411401Z >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size()) 2024-08-20T21:40:22.0412479Z >>> sharding_dim = 1 2024-08-20T21:40:22.0413142Z >>> resharding_spec = ChunkShardingSpec( 2024-08-20T21:40:22.0413943Z dim=sharding_dim, 2024-08-20T21:40:22.0414569Z placements=[ 2024-08-20T21:40:22.0415147Z "rank:0/cuda:0", 2024-08-20T21:40:22.0415794Z "rank:1/cuda:1", 2024-08-20T21:40:22.0416444Z "rank:2/cuda:2", 2024-08-20T21:40:22.0417048Z "rank:3/cuda:3", 2024-08-20T21:40:22.0417671Z ], 2024-08-20T21:40:22.0418130Z ) 2024-08-20T21:40:22.0418621Z >>> st.reshard(resharding_spec) 2024-08-20T21:40:22.0419338Z >>> tensor = st.local_shards()[0].tensor 2024-08-20T21:40:22.0420092Z >>> tensor 2024-08-20T21:40:22.0420922Z tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0 2024-08-20T21:40:22.0421857Z tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1 2024-08-20T21:40:22.0422830Z tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2 2024-08-20T21:40:22.0423907Z tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3 2024-08-20T21:40:22.0424561Z 2024-08-20T21:40:22.0425372Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.0426453Z 2024-08-20T21:40:22.0501572Z msg = Cannot scrape callname=ShardingPlan in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12. 2024-08-20T21:40:22.0504253Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.0505209Z 2024-08-20T21:40:22.0505796Z Representation of a sharding plan, describes how to shard a module 2024-08-20T21:40:22.0507326Z across hosts. `plan` is used to shard module parameters according to the spec provided, 2024-08-20T21:40:22.0509063Z `output_plan` and `return_local_tensor` are optional, they are used to specify the output 2024-08-20T21:40:22.0510754Z layout of a module with a spec, and when to convert back to data parallel fashion. 2024-08-20T21:40:22.0511737Z 2024-08-20T21:40:22.0511917Z Args: 2024-08-20T21:40:22.0512838Z plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`, 2024-08-20T21:40:22.0514265Z :class:`torch.distributed._shard.sharder.Sharder`]): 2024-08-20T21:40:22.0515917Z a dict describes how to shard a module, there're currently two ways to shard a module: 2024-08-20T21:40:22.0517781Z 1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of 2024-08-20T21:40:22.0519063Z a parameter to a `ShardingSpec`. 2024-08-20T21:40:22.0520276Z 2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module 2024-08-20T21:40:22.0521488Z to a `Sharder` object. 2024-08-20T21:40:22.0522828Z output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional): 2024-08-20T21:40:22.0524902Z a dict specifies the layout of a module's output which produces a ShardedTensor, 2024-08-20T21:40:22.0526759Z keyed by the name of module to ShardingSpec("" in key means the root module). 2024-08-20T21:40:22.0527930Z Default: `None` 2024-08-20T21:40:22.0528952Z return_local_tensor (List[str], optional): a list of string, each element enables 2024-08-20T21:40:22.0530678Z a module's sharded output to be returned as a Tensor from its local shards to 2024-08-20T21:40:22.0532199Z ensure further processing in a data parallel fashion. ("" in list means the 2024-08-20T21:40:22.0533329Z root module). 2024-08-20T21:40:22.0533871Z Default: None 2024-08-20T21:40:22.0534387Z Example: 2024-08-20T21:40:22.0535416Z Suppose we want to shard a module with two linear layers and then run it with DDP, we also 2024-08-20T21:40:22.0537255Z want to convert the output of the second linear layer back to DDP, we can do it as follows: 2024-08-20T21:40:22.0538346Z 2024-08-20T21:40:22.0538761Z >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d) 2024-08-20T21:40:22.0539708Z >>> class MyModule(nn.Module): 2024-08-20T21:40:22.0540657Z >>> def __init__(self) -> None: 2024-08-20T21:40:22.0541343Z >>> super().__init__() 2024-08-20T21:40:22.0542064Z >>> self.fc1 = nn.Linear() 2024-08-20T21:40:22.0542824Z >>> self.gelu = nn.GELU() 2024-08-20T21:40:22.0543548Z >>> self.fc2 = nn.Linear() 2024-08-20T21:40:22.0544280Z >>> self.relu = nn.Linear() 2024-08-20T21:40:22.0544942Z >>> 2024-08-20T21:40:22.0545421Z >>> def forward(self, input): 2024-08-20T21:40:22.0546325Z >>> return self.relu(self.fc2(self.gelu(self.fc1(input)))) 2024-08-20T21:40:22.0546991Z 2024-08-20T21:40:22.0546999Z 2024-08-20T21:40:22.0547318Z >>> # xdoctest: +SKIP("Undefined spec1, spec2) 2024-08-20T21:40:22.0548170Z >>> sharding_plan = ShardingPlan( 2024-08-20T21:40:22.0548845Z >>> plan={ 2024-08-20T21:40:22.0549363Z >>> "fc1.weight": spec1, 2024-08-20T21:40:22.0550293Z >>> "fc2.weight": spec2 2024-08-20T21:40:22.0550940Z >>> }, 2024-08-20T21:40:22.0551431Z >>> output_plan={ 2024-08-20T21:40:22.0552004Z >>> "fc2": output_spec 2024-08-20T21:40:22.0552649Z >>> }, 2024-08-20T21:40:22.0553154Z >>> return_local_tensor=["fc2"] 2024-08-20T21:40:22.0553815Z >>> ) 2024-08-20T21:40:22.0554107Z 2024-08-20T21:40:22.0554914Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.0555860Z 2024-08-20T21:40:22.1197521Z msg = Cannot scrape callname=local_map in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_tensor/experimental/func_map.py line=33. 2024-08-20T21:40:22.1200257Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.1201219Z 2024-08-20T21:40:22.1201963Z ``local_map`` is an experimental API that allows users to apply on :class:`DTensors` 2024-08-20T21:40:22.1203437Z a function that is written to be applied on :class:`~torch.Tensors`. 2024-08-20T21:40:22.1204340Z 2024-08-20T21:40:22.1204502Z Args: 2024-08-20T21:40:22.1205262Z func (Callable): the function to be applied on each local shard of 2024-08-20T21:40:22.1206313Z :class:`DTensor`s. 2024-08-20T21:40:22.1207191Z out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]): 2024-08-20T21:40:22.1209358Z the desired placements of the :class:`DTensor`s in ``func``'s flattened output. 2024-08-20T21:40:22.1210962Z If the flattened ``output`` is a single value, the ``out_placements`` should be 2024-08-20T21:40:22.1212503Z of type `PlacementType`. Otherwise if the flattened ``output`` has multiple 2024-08-20T21:40:22.1214072Z values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1 2024-08-20T21:40:22.1215301Z mapping to the flattened ``output``. 2024-08-20T21:40:22.1216242Z Besides, for :class:`Tensor` output, we use `PlacementType` as its 2024-08-20T21:40:22.1217833Z placements (a `Tuple[Placement]` value). For non-:class:`Tensor` output, 2024-08-20T21:40:22.1218988Z the `PlacementType` should be `None`. 2024-08-20T21:40:22.1220071Z Note that the only exception is when no :class:`DTensor` argument is passed 2024-08-20T21:40:22.1221700Z in. In this case, even if `out_placements` is not `None`, the result function 2024-08-20T21:40:22.1223191Z should ignore the desired placements because the application is not on 2024-08-20T21:40:22.1224296Z :class:`DTensors`. 2024-08-20T21:40:22.1225066Z in_placements (Tuple[`PlacementType`, ...], optional): 2024-08-20T21:40:22.1226872Z the required placements of the :class:`DTensor`s in ``func``'s flattened input. 2024-08-20T21:40:22.1228377Z If ``in_placements`` is specified, ``local_map`` would examine whether the 2024-08-20T21:40:22.1229830Z placements of each :class:`DTensor` argument is the same as the required 2024-08-20T21:40:22.1231191Z placements or not. If the placements are not the same and 2024-08-20T21:40:22.1232569Z ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if 2024-08-20T21:40:22.1234109Z ``redistribute_inputs`` is `True`, the argument will be first redistributed to 2024-08-20T21:40:22.1235684Z the required sharding placements before passing its local tensor to ``func``. 2024-08-20T21:40:22.1237189Z The only exception is when required placements are not ``None`` and the 2024-08-20T21:40:22.1238700Z argument is a :class:`torch.Tensor`. In this case, the placements examination 2024-08-20T21:40:22.1240190Z will be skipped and the argument will be directly passed to ``func``. 2024-08-20T21:40:22.1241652Z If ``in_placements`` is ``None``, no placements examination will be performed. 2024-08-20T21:40:22.1242762Z Default: None 2024-08-20T21:40:22.1243394Z device_mesh (:class:`DeviceMesh`, optional): 2024-08-20T21:40:22.1244787Z the device mesh that all the :class:`DTensor`s are placed on. If not 2024-08-20T21:40:22.1246471Z specified, this will be inferred from the input :class:`DTensor`s' device 2024-08-20T21:40:22.1247975Z mesh. `local_map` requires every :class:`DTensor`s to be placed on the same 2024-08-20T21:40:22.1249142Z device mesh. Default: None. 2024-08-20T21:40:22.1249931Z redistribute_inputs (bool, optional): 2024-08-20T21:40:22.1251126Z the bool value indicating whether to reshard the input :class:`DTensor`s when 2024-08-20T21:40:22.1252736Z their placements are different from the required input placements. If this 2024-08-20T21:40:22.1254295Z value is ``False`` and some :class:`DTensor` input has a different placement, 2024-08-20T21:40:22.1255543Z an exception will be raised. Default: False. 2024-08-20T21:40:22.1256166Z 2024-08-20T21:40:22.1256331Z Returns: 2024-08-20T21:40:22.1257259Z A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor` 2024-08-20T21:40:22.1258878Z and returns a :class:`DTensor` constructed from the return value of ``func``. 2024-08-20T21:40:22.1259805Z 2024-08-20T21:40:22.1259977Z Raises: 2024-08-20T21:40:22.1261153Z AssertionError: If the input :class:`DTensor`s are not placed on the same device 2024-08-20T21:40:22.1262792Z mesh, or if they are placed on a different device mesh than the ``device_mesh`` 2024-08-20T21:40:22.1264185Z argument passed in. 2024-08-20T21:40:22.1264570Z 2024-08-20T21:40:22.1265386Z AssertionError: For any non-:class:`DTensor` output, we require its corresponding 2024-08-20T21:40:22.1267024Z output placement in ``out_placements`` be None. An AssertionError will be raised 2024-08-20T21:40:22.1268219Z if this is not the case. 2024-08-20T21:40:22.1268650Z 2024-08-20T21:40:22.1269278Z ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs 2024-08-20T21:40:22.1270605Z a redistribution according to ``in_placements``. 2024-08-20T21:40:22.1271264Z 2024-08-20T21:40:22.1271451Z Example: 2024-08-20T21:40:22.1271925Z >>> # xdoctest: +SKIP("distributed") 2024-08-20T21:40:22.1272755Z >>> def mm_allreduce_forward(device_mesh, W, X): 2024-08-20T21:40:22.1273662Z >>> partial_sum_tensor = torch.mm(W, X) 2024-08-20T21:40:22.1274810Z >>> reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh) 2024-08-20T21:40:22.1275958Z >>> return reduced_tensor 2024-08-20T21:40:22.1276596Z >>> 2024-08-20T21:40:22.1277133Z >>> W = torch.randn(12, 8, requires_grad=False) 2024-08-20T21:40:22.1278038Z >>> X = torch.randn(8, 16, requires_grad=False) 2024-08-20T21:40:22.1278846Z >>> Y = torch.mm(W, X) 2024-08-20T21:40:22.1279917Z >>> row_wise = [Shard(0)] # row-wise sharding placements on 1-d mesh 2024-08-20T21:40:22.1281337Z >>> col_wise = [Shard(1)] # col-wise sharding placements on 1-d mesh 2024-08-20T21:40:22.1282303Z >>> 2024-08-20T21:40:22.1283235Z >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor convertion 2024-08-20T21:40:22.1284497Z >>> local_mm_allreduce_forward = local_map( 2024-08-20T21:40:22.1285282Z >>> mm_allreduce_forward, 2024-08-20T21:40:22.1285960Z >>> out_placements=[Replicate()], 2024-08-20T21:40:22.1286732Z >>> in_placements=[col_wise, row_wise], 2024-08-20T21:40:22.1287532Z >>> device_mesh=device_mesh, 2024-08-20T21:40:22.1288180Z >>> ) 2024-08-20T21:40:22.1288606Z >>> 2024-08-20T21:40:22.1289725Z >>> W_dt = distribute_tensor(W, device_mesh, (col_wise)) # col-wisely sharded W tensor 2024-08-20T21:40:22.1291524Z >>> X_dt = distribute_tensor(X, device_mesh, (row_wise)) # row-wisely sharded X tensor 2024-08-20T21:40:22.1293372Z >>> Y_dt = local_mm_allreduce_forward(device_mesh, W_dt, X_dt) # apply local_mm_allreduce_forward to DTensors 2024-08-20T21:40:22.1294570Z 2024-08-20T21:40:22.1295036Z NOTE: This API is currently experimental and subject to change 2024-08-20T21:40:22.1295795Z 2024-08-20T21:40:22.1296726Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.1297645Z 2024-08-20T21:40:22.1299767Z msg = Cannot scrape callname=register_sharding in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_tensor/experimental/register_sharding.py line=25. 2024-08-20T21:40:22.1302768Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.1303752Z 2024-08-20T21:40:22.1304411Z ``register_sharding`` is an experimental API that allows users to register sharding 2024-08-20T21:40:22.1306094Z strategies for an operator when the tensor inputs and outputs are :class:`DTensor`s. 2024-08-20T21:40:22.1307966Z It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``, 2024-08-20T21:40:22.1309539Z e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2) 2024-08-20T21:40:22.1311240Z when users would like to overwrite default sharding strategies of existing operators. 2024-08-20T21:40:22.1312280Z 2024-08-20T21:40:22.1312459Z Args: 2024-08-20T21:40:22.1313004Z op (Union[OpOverload, List[OpOverload]]): 2024-08-20T21:40:22.1314135Z An op or a list of ops to register the customized sharding function. 2024-08-20T21:40:22.1314938Z 2024-08-20T21:40:22.1315125Z Returns: 2024-08-20T21:40:22.1316222Z A function decorator which can be used to wrap a function that defines the sharding 2024-08-20T21:40:22.1317884Z strategy for the operator specified in ``op``. The defined sharding strategy will be 2024-08-20T21:40:22.1319604Z registered to DTensor and will override the default sharding strategy if DTensor has 2024-08-20T21:40:22.1321391Z already implemented the operator. The customized sharding function takes the same inputs 2024-08-20T21:40:22.1323087Z as the original op (except that if an arg is a :class:`torch.Tensor`, it will be 2024-08-20T21:40:22.1325008Z replaced by a tensor-like object that DTensor uses internally). The function should 2024-08-20T21:40:22.1327015Z return a sequence of 2-tuples, each specifying acceptable output placements and its 2024-08-20T21:40:22.1328254Z corresponding intput placements. 2024-08-20T21:40:22.1328798Z 2024-08-20T21:40:22.1328961Z Example: 2024-08-20T21:40:22.1329452Z >>> # xdoctest: +SKIP("distributed") 2024-08-20T21:40:22.1330270Z >>> @register_sharding(aten._softmax.default) 2024-08-20T21:40:22.1331192Z >>> def custom_softmax_sharding(x, dim, half_to_float): 2024-08-20T21:40:22.1332230Z >>> softmax_dim = dim if dim >= 0 else dim + x.ndim 2024-08-20T21:40:22.1333120Z >>> acceptable_shardings = [] 2024-08-20T21:40:22.1333800Z >>> 2024-08-20T21:40:22.1334495Z >>> all_replicate = ([Replicate()], [Replicate(), None, None]) 2024-08-20T21:40:22.1335539Z >>> acceptable_shardings.append(all_replicate) 2024-08-20T21:40:22.1336364Z >>> 2024-08-20T21:40:22.1336903Z >>> for sharding_dim in range(x.ndim): 2024-08-20T21:40:22.1337749Z >>> if sharding_dim != softmax_dim: 2024-08-20T21:40:22.1338534Z >>> all_sharded = ( 2024-08-20T21:40:22.1339256Z >>> [Shard(sharding_dim)], 2024-08-20T21:40:22.1340103Z >>> [Shard(sharding_dim), None, None], 2024-08-20T21:40:22.1341021Z >>> ) 2024-08-20T21:40:22.1341722Z >>> acceptable_shardings.append(all_sharded) 2024-08-20T21:40:22.1342528Z >>> 2024-08-20T21:40:22.1343005Z >>> return acceptable_shardings 2024-08-20T21:40:22.1343574Z 2024-08-20T21:40:22.1344377Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.1345274Z 2024-08-20T21:40:22.2034938Z msg = Cannot scrape callname=post_localSGD_hook in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72. 2024-08-20T21:40:22.2037999Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.2039214Z 2024-08-20T21:40:22.2039554Z Run post-localSGD algorithm. 2024-08-20T21:40:22.2040022Z 2024-08-20T21:40:22.2040744Z This DDP communication hook is used for running post-localSGD algorithm, 2024-08-20T21:40:22.2042031Z by combining with a model averaging component (e.g., 2024-08-20T21:40:22.2043524Z :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`) 2024-08-20T21:40:22.2044922Z that runs after the optimizer step. 2024-08-20T21:40:22.2045442Z 2024-08-20T21:40:22.2045616Z Args: 2024-08-20T21:40:22.2046553Z state (PostLocalSGDState): State information to run post-localSGD. 2024-08-20T21:40:22.2048126Z Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD. 2024-08-20T21:40:22.2050477Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2024-08-20T21:40:22.2052493Z Note that since DDP comm hook only supports single process single device mode, 2024-08-20T21:40:22.2053828Z only exactly one tensor is stored in this bucket. 2024-08-20T21:40:22.2054517Z 2024-08-20T21:40:22.2054687Z Returns: 2024-08-20T21:40:22.2055576Z Future handler of the communication, which updates the gradients in place. 2024-08-20T21:40:22.2056513Z 2024-08-20T21:40:22.2056720Z Example:: 2024-08-20T21:40:22.2057420Z >>> # xdoctest: +SKIP 2024-08-20T21:40:22.2058429Z >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup, 2024-08-20T21:40:22.2059629Z start_localSGD_iter=10) 2024-08-20T21:40:22.2061092Z >>> ddp_model.register_comm_hook(state, post_localSGD_hook) 2024-08-20T21:40:22.2062755Z >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``. 2024-08-20T21:40:22.2064883Z >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module. 2024-08-20T21:40:22.2066148Z 2024-08-20T21:40:22.2066981Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.2067940Z 2024-08-20T21:40:22.2096471Z msg = Cannot scrape callname=powerSGD_hook in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342. 2024-08-20T21:40:22.2099369Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.2100327Z 2024-08-20T21:40:22.2100651Z Implement PowerSGD algorithm. 2024-08-20T21:40:22.2101108Z 2024-08-20T21:40:22.2101630Z This DDP communication hook implements PowerSGD gradient compression 2024-08-20T21:40:22.2103007Z algorithm described in the `paper `_. 2024-08-20T21:40:22.2104452Z Once gradient tensors are aggregated across all workers, this hook applies 2024-08-20T21:40:22.2105570Z compression as follows: 2024-08-20T21:40:22.2105980Z 2024-08-20T21:40:22.2107437Z 1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups: 2024-08-20T21:40:22.2108935Z 2024-08-20T21:40:22.2110051Z 1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth. 2024-08-20T21:40:22.2111475Z 2024-08-20T21:40:22.2112561Z 1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases). 2024-08-20T21:40:22.2113962Z 2024-08-20T21:40:22.2114204Z 2. Handles uncompressed tensors: 2024-08-20T21:40:22.2114709Z 2024-08-20T21:40:22.2116050Z 2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression; 2024-08-20T21:40:22.2117692Z 2024-08-20T21:40:22.2118579Z 2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor. 2024-08-20T21:40:22.2119691Z 2024-08-20T21:40:22.2120296Z 3. Handles the tensors that should be compressed by PowerSGD compression: 2024-08-20T21:40:22.2121405Z 2024-08-20T21:40:22.2122281Z 3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M, 2024-08-20T21:40:22.2123983Z such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized; 2024-08-20T21:40:22.2125126Z 2024-08-20T21:40:22.2125480Z 3.2. Computes each P in Ps, which is equal to MQ; 2024-08-20T21:40:22.2126363Z 2024-08-20T21:40:22.2126622Z 3.3. Allreduces Ps as a batch; 2024-08-20T21:40:22.2127134Z 2024-08-20T21:40:22.2127387Z 3.4. Orthogonalizes each P in Ps; 2024-08-20T21:40:22.2127931Z 2024-08-20T21:40:22.2128398Z 3.5. Computes each Q in Qs, which is approximately equal to M^TP; 2024-08-20T21:40:22.2129198Z 2024-08-20T21:40:22.2129453Z 3.6. Allreduces Qs as a batch; 2024-08-20T21:40:22.2129934Z 2024-08-20T21:40:22.2130716Z 3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T. 2024-08-20T21:40:22.2131804Z 2024-08-20T21:40:22.2132803Z Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations. 2024-08-20T21:40:22.2134881Z This not only gives the user more control over the tradeoff between speedup and accuracy, 2024-08-20T21:40:22.2137085Z but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers. 2024-08-20T21:40:22.2138690Z 2024-08-20T21:40:22.2138874Z Args: 2024-08-20T21:40:22.2140157Z state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc. 2024-08-20T21:40:22.2142568Z To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter`` 2024-08-20T21:40:22.2144119Z and ``min_compression_rate``. 2024-08-20T21:40:22.2146018Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2024-08-20T21:40:22.2148089Z Note that since DDP comm hook only supports single process single device mode, 2024-08-20T21:40:22.2149427Z only exactly one tensor is stored in this bucket. 2024-08-20T21:40:22.2150114Z 2024-08-20T21:40:22.2150287Z Returns: 2024-08-20T21:40:22.2151164Z Future handler of the communication, which updates the gradients in place. 2024-08-20T21:40:22.2152125Z 2024-08-20T21:40:22.2152317Z Example:: 2024-08-20T21:40:22.2152798Z >>> # xdoctest: +SKIP 2024-08-20T21:40:22.2153866Z >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1, 2024-08-20T21:40:22.2155239Z start_powerSGD_iter=10, min_compression_rate=0.5) 2024-08-20T21:40:22.2156202Z >>> ddp_model.register_comm_hook(state, powerSGD_hook) 2024-08-20T21:40:22.2156868Z 2024-08-20T21:40:22.2157657Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.2158576Z 2024-08-20T21:40:22.2160987Z msg = Cannot scrape callname=PeriodicModelAverager in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=36. 2024-08-20T21:40:22.2163981Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.2164921Z 2024-08-20T21:40:22.2165497Z Averages parameters periodically after the warm-up stage. 2024-08-20T21:40:22.2166257Z 2024-08-20T21:40:22.2167051Z This can be used for running `post-local SGD `_, 2024-08-20T21:40:22.2168452Z by running :class:`~torch.nn.DistributedDataParallel` (DDP) 2024-08-20T21:40:22.2169826Z using the subgroups created by :meth:`~torch.distributed.new_subgroups`. 2024-08-20T21:40:22.2170757Z 2024-08-20T21:40:22.2170939Z Args: 2024-08-20T21:40:22.2171587Z period (int): The number of steps per model averaging. 2024-08-20T21:40:22.2172993Z Usually the period should be greater than ``1`` to reduce the communication cost. 2024-08-20T21:40:22.2174559Z Otherwise, only DDP needs to be used. 2024-08-20T21:40:22.2175903Z warmup_steps (int): The number of warm-up steps. During this stage, 2024-08-20T21:40:22.2176997Z model averaging is skipped. 2024-08-20T21:40:22.2178187Z process_group: The process group to be used for all-reduce. 2024-08-20T21:40:22.2179251Z If ``None``, the default process group, which 2024-08-20T21:40:22.2180410Z is created by :func:`torch.distributed.init_process_group`, 2024-08-20T21:40:22.2181614Z will be used. (default: ``None``) 2024-08-20T21:40:22.2182223Z 2024-08-20T21:40:22.2182418Z Example:: 2024-08-20T21:40:22.2182711Z 2024-08-20T21:40:22.2182985Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:22.2183682Z >>> import torch 2024-08-20T21:40:22.2184194Z >>> import torch.distributed as dist 2024-08-20T21:40:22.2185302Z >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD 2024-08-20T21:40:22.2187069Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2024-08-20T21:40:22.2188298Z >>> import torch.nn as nn 2024-08-20T21:40:22.2188872Z >>> 2024-08-20T21:40:22.2189532Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2024-08-20T21:40:22.2190446Z >>> torch.cuda.set_device(rank) 2024-08-20T21:40:22.2191373Z >>> module = nn.Linear(1, 1, bias=False).cuda() 2024-08-20T21:40:22.2192349Z >>> model = nn.parallel.DistributedDataParallel( 2024-08-20T21:40:22.2193349Z >>> module, device_ids=[rank], output_device=rank 2024-08-20T21:40:22.2194134Z >>> ) 2024-08-20T21:40:22.2194913Z >>> # Register a post-localSGD communication hook. 2024-08-20T21:40:22.2196270Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2024-08-20T21:40:22.2197617Z >>> model.register_comm_hook(state, post_localSGD_hook) 2024-08-20T21:40:22.2198460Z >>> 2024-08-20T21:40:22.2199431Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2024-08-20T21:40:22.2200796Z >>> # After 100 steps, run model averaging every 4 steps. 2024-08-20T21:40:22.2202256Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2024-08-20T21:40:22.2203968Z >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2024-08-20T21:40:22.2205121Z >>> for step in range(0, 200): 2024-08-20T21:40:22.2205831Z >>> optimizer.zero_grad() 2024-08-20T21:40:22.2206545Z >>> loss = loss_fn(output, labels) 2024-08-20T21:40:22.2207282Z >>> loss.backward() 2024-08-20T21:40:22.2207854Z >>> optimizer.step() 2024-08-20T21:40:22.2208749Z >>> # Will average model parameters globally every 4 steps. Thus, 2024-08-20T21:40:22.2210218Z >>> # inter-node communication only occurs every 4 iterations after 2024-08-20T21:40:22.2211312Z >>> # the initial ``warmup_steps`` period. 2024-08-20T21:40:22.2212306Z >>> averager.average_parameters(model.parameters()) 2024-08-20T21:40:22.2213000Z 2024-08-20T21:40:22.2213771Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.2214701Z 2024-08-20T21:40:22.2217123Z msg = Cannot scrape callname=HierarchicalModelAverager in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=18. 2024-08-20T21:40:22.2220316Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.2221406Z 2024-08-20T21:40:22.2222209Z Runs hierarchical model averaging (`hierarchical SGD `_). 2024-08-20T21:40:22.2223293Z 2024-08-20T21:40:22.2224047Z Process groups of different sizes are organized in a hierarchy, and they average parameters 2024-08-20T21:40:22.2225952Z by using different periods concurrently after the warm-up stage. 2024-08-20T21:40:22.2227939Z This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager` 2024-08-20T21:40:22.2230392Z that supports `post-local SGD `_, which essentially only supports 2024-08-20T21:40:22.2232498Z a two-level hierarchy: the intra-machine level and the global level, where the intra-machine 2024-08-20T21:40:22.2234427Z level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`. 2024-08-20T21:40:22.2236574Z Similarly, the process groups within this class do not have such an intra-machine process 2024-08-20T21:40:22.2238488Z subgroup, which should be embedded by the post-local SGD communication hook instead. 2024-08-20T21:40:22.2239529Z 2024-08-20T21:40:22.2239712Z Args: 2024-08-20T21:40:22.2240602Z period_group_size_dict: An ordered dict mapping keys of model averaging period to 2024-08-20T21:40:22.2242117Z process group size, used for initializing process groups of 2024-08-20T21:40:22.2243520Z different sizes in a hierarchy to average parameters concurrently. 2024-08-20T21:40:22.2244892Z Particularly, at each iteration, there will be at most a single 2024-08-20T21:40:22.2246531Z process group that runs averaging -- the period of such group should 2024-08-20T21:40:22.2248163Z have the largest period which the current step can be divided by. 2024-08-20T21:40:22.2249427Z For example, if the dict has three keys: 2, 4, and 8, 2024-08-20T21:40:22.2250696Z then this means totally three process groups will be created to 2024-08-20T21:40:22.2252099Z average parameters every 2, 4, and 8 iterations, respectively. 2024-08-20T21:40:22.2253399Z At the 4th iteration, only the second process group will run 2024-08-20T21:40:22.2254593Z averaging, because the first process group should be a 2024-08-20T21:40:22.2255944Z subset of the second process group, and no need to execute the first 2024-08-20T21:40:22.2257112Z process group redundantly. 2024-08-20T21:40:22.2258219Z On the other hand, the third process group can only be triggered 2024-08-20T21:40:22.2259627Z every 8 iterations, so it will not be triggered at the 4th iteration. 2024-08-20T21:40:22.2261821Z warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped. 2024-08-20T21:40:22.2263943Z process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging. 2024-08-20T21:40:22.2265791Z If ``None``, the default process group, which is created 2024-08-20T21:40:22.2267107Z by :func:`torch.distributed.init_process_group`, will be used. 2024-08-20T21:40:22.2268266Z (default: ``None``) 2024-08-20T21:40:22.2268888Z 2024-08-20T21:40:22.2269092Z Example:: 2024-08-20T21:40:22.2269755Z >>> # xdoctest: +SKIP('undefined rank') 2024-08-20T21:40:22.2270569Z >>> from collections import OrderedDict 2024-08-20T21:40:22.2271311Z >>> import torch 2024-08-20T21:40:22.2271902Z >>> import torch.distributed as dist 2024-08-20T21:40:22.2273073Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2024-08-20T21:40:22.2274274Z >>> PostLocalSGDState, 2024-08-20T21:40:22.2274892Z >>> post_localSGD_hook, 2024-08-20T21:40:22.2275516Z >>> ) 2024-08-20T21:40:22.2276703Z >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD 2024-08-20T21:40:22.2278149Z >>> import torch.nn as nn 2024-08-20T21:40:22.2278743Z >>> 2024-08-20T21:40:22.2279397Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2024-08-20T21:40:22.2280461Z >>> torch.cuda.set_device(rank) 2024-08-20T21:40:22.2281286Z >>> module = nn.Linear(1, 1, bias=False).to(rank) 2024-08-20T21:40:22.2282276Z >>> model = nn.parallel.DistributedDataParallel( 2024-08-20T21:40:22.2283280Z >>> module, device_ids=[rank], output_device=rank 2024-08-20T21:40:22.2284111Z >>> ) 2024-08-20T21:40:22.2284871Z >>> # Register a post-localSGD communication hook. 2024-08-20T21:40:22.2286434Z >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4. 2024-08-20T21:40:22.2287718Z >>> subgroup, _ = dist.new_subgroups() 2024-08-20T21:40:22.2289036Z >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100) 2024-08-20T21:40:22.2290516Z >>> model.register_comm_hook(state, post_localSGD_hook) 2024-08-20T21:40:22.2291375Z >>> 2024-08-20T21:40:22.2292364Z >>> # Average parameters among each group of 8 processes every 4 iterations, and among all 2024-08-20T21:40:22.2293695Z >>> # the 16 processes every 16 iterations. 2024-08-20T21:40:22.2294738Z >>> averager = hierarchicalSGD.HierarchicalModelAverager( 2024-08-20T21:40:22.2296071Z >>> period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100) 2024-08-20T21:40:22.2297755Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2024-08-20T21:40:22.2299719Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2024-08-20T21:40:22.2301235Z >>> # After 100 steps, run model averaging at two levels. 2024-08-20T21:40:22.2302122Z >>> for step in range(0, 200): 2024-08-20T21:40:22.2302801Z >>> optimizer.zero_grad() 2024-08-20T21:40:22.2303463Z >>> loss = loss_fn(output, labels) 2024-08-20T21:40:22.2304186Z >>> loss.backward() 2024-08-20T21:40:22.2304784Z >>> optimizer.step() 2024-08-20T21:40:22.2305548Z >>> # Average parameters after ``optimizer.step()``. 2024-08-20T21:40:22.2307161Z >>> # Thus, the inter-node communication only occurs periodically after ``warmup_steps``. 2024-08-20T21:40:22.2308516Z >>> averager.average_parameters(model.parameters()) 2024-08-20T21:40:22.2309169Z 2024-08-20T21:40:22.2309357Z .. warning :: 2024-08-20T21:40:22.2310318Z The last group size in the dict must be the size of the provided ``process_group``, 2024-08-20T21:40:22.2311849Z which indicates model averaging at the highest level of the hierarchy. 2024-08-20T21:40:22.2313463Z If ``process_group`` is not provided, then the last group size should be equal to the world size. 2024-08-20T21:40:22.2314543Z 2024-08-20T21:40:22.2314737Z .. warning :: 2024-08-20T21:40:22.2315549Z `HierarchicalModelAverager` is experimental and subject to change. 2024-08-20T21:40:22.2316384Z 2024-08-20T21:40:22.2317209Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.2318113Z 2024-08-20T21:40:22.2427960Z msg = Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=40. 2024-08-20T21:40:22.2430806Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.2431745Z 2024-08-20T21:40:22.2432495Z StorageReader for reading a Torch Save file. This reader will read the entire checkpoint 2024-08-20T21:40:22.2434217Z on the coordinator rank, and then broadcast and shard each tensor to all ranks. 2024-08-20T21:40:22.2435148Z 2024-08-20T21:40:22.2435531Z . N.B. Intended to be used with DynamicMetaLoadPlanner 2024-08-20T21:40:22.2436199Z 2024-08-20T21:40:22.2436375Z .. warning:: 2024-08-20T21:40:22.2437026Z Current implementation only supports loading Tensors. 2024-08-20T21:40:22.2437711Z 2024-08-20T21:40:22.2437959Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:22.2438684Z >>> sd = {"mode": model} 2024-08-20T21:40:22.2439241Z >>> dcp.load( 2024-08-20T21:40:22.2439891Z >>> sd, 2024-08-20T21:40:22.2440522Z >>> storage_reader=BroadcastingTorchSaveReader(), 2024-08-20T21:40:22.2441446Z >>> planner=DynamicMetaLoadPlanner(), 2024-08-20T21:40:22.2442215Z >>> checkpoint_id="path_to_model.pt" 2024-08-20T21:40:22.2442917Z >>> ) 2024-08-20T21:40:22.2443168Z 2024-08-20T21:40:22.2443984Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.2444913Z 2024-08-20T21:40:22.2446890Z msg = Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=151. 2024-08-20T21:40:22.2449611Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.2450551Z 2024-08-20T21:40:22.2451450Z Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict, 2024-08-20T21:40:22.2453724Z avoiding the need to read metadata from disk. This is useful when reading formats which don't have a 2024-08-20T21:40:22.2455136Z metadata file, like Torch Save files. 2024-08-20T21:40:22.2455665Z 2024-08-20T21:40:22.2456109Z . N.B. Intended to be used with BroadcastingTorchSaveReader 2024-08-20T21:40:22.2456881Z 2024-08-20T21:40:22.2457059Z .. warning:: 2024-08-20T21:40:22.2457748Z Current implementation only supports loading Tensors. 2024-08-20T21:40:22.2458657Z 2024-08-20T21:40:22.2458909Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:22.2459636Z >>> sd = {"mode": model} 2024-08-20T21:40:22.2460191Z >>> dcp.load( 2024-08-20T21:40:22.2460939Z >>> sd, 2024-08-20T21:40:22.2461571Z >>> storage_reader=BroadcastingTorchSaveReader(), 2024-08-20T21:40:22.2462500Z >>> planner=DynamicMetaLoadPlanner(), 2024-08-20T21:40:22.2463265Z >>> checkpoint_id="path_to_model.pt" 2024-08-20T21:40:22.2463922Z >>> ) 2024-08-20T21:40:22.2464163Z 2024-08-20T21:40:22.2464983Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.2465927Z 2024-08-20T21:40:22.2498073Z msg = Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/optimizer.py line=220. 2024-08-20T21:40:22.2501146Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.2502096Z 2024-08-20T21:40:22.2502644Z Load a state_dict in conjunction with FSDP sharded optimizer state. 2024-08-20T21:40:22.2503504Z 2024-08-20T21:40:22.2503908Z This is the current recommended way to checkpoint FSDP. 2024-08-20T21:40:22.2504802Z >>> # xdoctest: +SKIP 2024-08-20T21:40:22.2505493Z >>> import torch.distributed.checkpoint as dist_cp 2024-08-20T21:40:22.2506373Z >>> # Save 2024-08-20T21:40:22.2506852Z >>> model: torch.nn.Model 2024-08-20T21:40:22.2507463Z >>> optim_params = model.parameters() 2024-08-20T21:40:22.2508315Z >>> optim = torch.optim.SGD(optim_params, lr=0.01) 2024-08-20T21:40:22.2509110Z >>> # Save 2024-08-20T21:40:22.2509922Z >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT): 2024-08-20T21:40:22.2510933Z >>> state_dict = { 2024-08-20T21:40:22.2511657Z >>> "optimizer": FSDP.optim_state_dict(model, optim), 2024-08-20T21:40:22.2512579Z >>> "model": model.state_dict() 2024-08-20T21:40:22.2513276Z >>> } 2024-08-20T21:40:22.2513742Z >>> dist_cp.save_state_dict( 2024-08-20T21:40:22.2514399Z >>> state_dict=optim_state, 2024-08-20T21:40:22.2515276Z >>> storage_writer=dist_cp.FileSystemWriter("checkpoint"), 2024-08-20T21:40:22.2516292Z >>> planner=dist_cp.DefaultSavePlanner(), 2024-08-20T21:40:22.2517059Z >>> ) 2024-08-20T21:40:22.2517479Z >>> 2024-08-20T21:40:22.2517881Z >>> # Load 2024-08-20T21:40:22.2518694Z >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT): 2024-08-20T21:40:22.2519851Z >>> model_state_dict = model_tp.state_dict() 2024-08-20T21:40:22.2520646Z >>> checkpoint = { 2024-08-20T21:40:22.2521213Z >>> "model": model_state_dict 2024-08-20T21:40:22.2522027Z >>> } 2024-08-20T21:40:22.2522505Z >>> dist_cp.load_state_dict( 2024-08-20T21:40:22.2523175Z >>> state_dict=checkpoint, 2024-08-20T21:40:22.2524067Z >>> storage_reader=dist_cp.FileSystemReader(checkpoint_file), 2024-08-20T21:40:22.2525089Z >>> planner=dist_cp.DefaultLoadPlanner(), 2024-08-20T21:40:22.2526034Z >>> ) 2024-08-20T21:40:22.2526638Z >>> model.load_state_dict(checkpoint["model_state"]) 2024-08-20T21:40:22.2527472Z >>> 2024-08-20T21:40:22.2528128Z >>> optim_state = dist_cp.load_sharded_optimizer_state_dict( 2024-08-20T21:40:22.2529086Z >>> model_state_dict, 2024-08-20T21:40:22.2529758Z >>> optimizer_key="optimizer", 2024-08-20T21:40:22.2530686Z >>> storage_reader=dist_cp.FileSystemReader("checkpoint"), 2024-08-20T21:40:22.2531599Z >>> ) 2024-08-20T21:40:22.2532029Z >>> 2024-08-20T21:40:22.2532602Z >>> flattened_osd = FSDP.optim_state_dict_to_load( 2024-08-20T21:40:22.2533555Z >>> model, optim, optim_state["optimizer"] 2024-08-20T21:40:22.2534324Z >>> ) 2024-08-20T21:40:22.2534677Z >>> 2024-08-20T21:40:22.2535128Z >>> optim.load_state_dict(flattened_osd) 2024-08-20T21:40:22.2535608Z 2024-08-20T21:40:22.2536315Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.2537142Z 2024-08-20T21:40:22.2539214Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=110. 2024-08-20T21:40:22.2541931Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.2542909Z 2024-08-20T21:40:22.2543661Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2024-08-20T21:40:22.2544758Z 2024-08-20T21:40:22.2545494Z SavePlanners are stateful objects that can be used to customize the whole save process. 2024-08-20T21:40:22.2546574Z 2024-08-20T21:40:22.2547349Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2024-08-20T21:40:22.2548662Z will be visible to the whole process. 2024-08-20T21:40:22.2549148Z 2024-08-20T21:40:22.2549760Z A planner subclass can expect the following sequence of calls during save_state_dict: 2024-08-20T21:40:22.2550723Z 2024-08-20T21:40:22.2551116Z 1) set_up_planner - called on all ranks. 2024-08-20T21:40:22.2551990Z Signals the start of a checkpoint save. 2024-08-20T21:40:22.2552569Z 2024-08-20T21:40:22.2552949Z 2) create_local_plan - called on all ranks. 2024-08-20T21:40:22.2554262Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2024-08-20T21:40:22.2555319Z 2024-08-20T21:40:22.2555898Z 3) create_global_plan - called on the coordinator rank only. 2024-08-20T21:40:22.2557130Z Takes the SavePlan from all ranks and make any global decision. 2024-08-20T21:40:22.2557937Z 2024-08-20T21:40:22.2558280Z 4) finish_plan - called on all ranks. 2024-08-20T21:40:22.2559307Z This gives each rank a chance to adjust to global planning decisions. 2024-08-20T21:40:22.2560158Z 2024-08-20T21:40:22.2560908Z 5) resolve_data - called multiple times on each rank 2024-08-20T21:40:22.2562051Z Lookups a value on the `state_dict` for the storage layer to write. 2024-08-20T21:40:22.2562905Z 2024-08-20T21:40:22.2563666Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2024-08-20T21:40:22.2565199Z most changes can be expressed by changes in a single method. 2024-08-20T21:40:22.2565959Z 2024-08-20T21:40:22.2566222Z There are 3 usual patterns of extension: 2024-08-20T21:40:22.2566786Z 2024-08-20T21:40:22.2567419Z Rewriting state_dict. This is the simplest way to extend the save process as it 2024-08-20T21:40:22.2569074Z doesn't requite understanding the intrincacies of how SavePlan works: 2024-08-20T21:40:22.2569946Z 2024-08-20T21:40:22.2570208Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:22.2571032Z >>> class RenamePlanner(DefaultSavePlanner): 2024-08-20T21:40:22.2572030Z >>> def set_up_planner( 2024-08-20T21:40:22.2572625Z >>> self, 2024-08-20T21:40:22.2573160Z >>> state_dict: STATE_DICT_TYPE, 2024-08-20T21:40:22.2573979Z >>> storage_meta: Optional[StorageMeta], 2024-08-20T21:40:22.2574797Z >>> is_coordinator: bool, 2024-08-20T21:40:22.2575520Z >>> ) -> None: 2024-08-20T21:40:22.2576104Z >>> # prefix all keys with `foo_`` 2024-08-20T21:40:22.2577406Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2024-08-20T21:40:22.2578511Z 2024-08-20T21:40:22.2579383Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2024-08-20T21:40:22.2580689Z 2024-08-20T21:40:22.2580940Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:22.2581755Z >>> class FP16Planner(DefaultSavePlanner): 2024-08-20T21:40:22.2582554Z >>> def create_local_plan(self): 2024-08-20T21:40:22.2583340Z >>> plan = super().create_local_plan() 2024-08-20T21:40:22.2584112Z >>> for p in plan: 2024-08-20T21:40:22.2611439Z >>> if p.tensor_data is not None: 2024-08-20T21:40:22.2612381Z >>> p.tensor_data.properties.dtype = torch.float16 2024-08-20T21:40:22.2613218Z >>> return plan 2024-08-20T21:40:22.2613736Z >>> 2024-08-20T21:40:22.2614238Z >>> def resolve_data(self, write_item): 2024-08-20T21:40:22.2615225Z >>> item = super().resolve_data(write_item) 2024-08-20T21:40:22.2616537Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2024-08-20T21:40:22.2617570Z 2024-08-20T21:40:22.2618681Z Using the global planning step to make central decisions that can't be made individually by each rank 2024-08-20T21:40:22.2619885Z 2024-08-20T21:40:22.2620137Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:22.2620983Z >>> from itertools import islice 2024-08-20T21:40:22.2621671Z >>> from dataclasses import replace 2024-08-20T21:40:22.2622578Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2024-08-20T21:40:22.2624163Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2024-08-20T21:40:22.2625583Z >>> # This sample doesn't handle ShardedTensors 2024-08-20T21:40:22.2626622Z >>> def create_global_plan(self, all_plans): 2024-08-20T21:40:22.2627426Z >>> def chunk(it, size): 2024-08-20T21:40:22.2628043Z >>> it = iter(it) 2024-08-20T21:40:22.2628819Z >>> return list(iter(lambda: tuple(islice(it, size)), ())) 2024-08-20T21:40:22.2629643Z >>> all_plans = [ 2024-08-20T21:40:22.2630304Z >>> replace(plan, items=items) for plan, items in 2024-08-20T21:40:22.2631371Z >>> zip(all_plans, chunk(all_plans[0].items, len(all_plans))) 2024-08-20T21:40:22.2632280Z >>> ] 2024-08-20T21:40:22.2633009Z >>> return super().create_global_plan(all_plans) 2024-08-20T21:40:22.2633623Z 2024-08-20T21:40:22.2634299Z Finally, some planners need to save additional metadata in the checkpoint, this is 2024-08-20T21:40:22.2635945Z accomplished by having each rank contribute their data items in the local plan and 2024-08-20T21:40:22.2637165Z the global planner aggregate them: 2024-08-20T21:40:22.2637673Z 2024-08-20T21:40:22.2637924Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:22.2638784Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2024-08-20T21:40:22.2639909Z >>> def create_local_plan(self) -> SavePlan: 2024-08-20T21:40:22.2640763Z >>> plan = super().create_local_plan() 2024-08-20T21:40:22.2641846Z >>> return replace(plan, planner_data="per-rank-data") 2024-08-20T21:40:22.2642701Z >>> 2024-08-20T21:40:22.2643841Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2024-08-20T21:40:22.2645373Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2024-08-20T21:40:22.2646524Z >>> merged_data = [p.planner_data for p in global_plan] 2024-08-20T21:40:22.2647732Z >>> metadata = replace(metadata, planner_data=merged_data) 2024-08-20T21:40:22.2648709Z >>> return global_plan, metadata 2024-08-20T21:40:22.2649238Z 2024-08-20T21:40:22.2650041Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.2650960Z 2024-08-20T21:40:22.2652731Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=270. 2024-08-20T21:40:22.2655351Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.2656313Z 2024-08-20T21:40:22.2657020Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2024-08-20T21:40:22.2658065Z 2024-08-20T21:40:22.2658802Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2024-08-20T21:40:22.2659858Z 2024-08-20T21:40:22.2660906Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2024-08-20T21:40:22.2662251Z will be visible to the whole process. 2024-08-20T21:40:22.2662780Z 2024-08-20T21:40:22.2663479Z A planner subclass can expect the following sequence of calls during load_state_dict: 2024-08-20T21:40:22.2664462Z 2024-08-20T21:40:22.2664800Z 1) set_up_planner - called on all ranks. 2024-08-20T21:40:22.2665799Z Signals the start of loading a checkpoint. 2024-08-20T21:40:22.2666410Z 2024-08-20T21:40:22.2666798Z 2) create_local_plan - called on all ranks. 2024-08-20T21:40:22.2668076Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2024-08-20T21:40:22.2669118Z 2024-08-20T21:40:22.2669683Z 3) create_global_plan - called on the coordinator rank only. 2024-08-20T21:40:22.2670915Z Takes the LoadPlan from all ranks and make any global decision. 2024-08-20T21:40:22.2671739Z 2024-08-20T21:40:22.2672172Z 4) load_bytes - called multiple times on each rank 2024-08-20T21:40:22.2673339Z This is called once per non-tensor value in state_dict. 2024-08-20T21:40:22.2674050Z 2024-08-20T21:40:22.2674735Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2024-08-20T21:40:22.2676041Z They are called in pair for each Tensor value in state_dict. 2024-08-20T21:40:22.2676786Z 2024-08-20T21:40:22.2677567Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2024-08-20T21:40:22.2679107Z most changes can be expressed by changes in a single method. 2024-08-20T21:40:22.2679879Z 2024-08-20T21:40:22.2680159Z There are two usual patterns of extension: 2024-08-20T21:40:22.2680732Z 2024-08-20T21:40:22.2681348Z Rewriting state_dict. This is the simplest way to extend the load process as it 2024-08-20T21:40:22.2683079Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2024-08-20T21:40:22.2684617Z to keep a reference to the original state_dict as load happens in place so 2024-08-20T21:40:22.2685814Z we need to be able to perform it in place 2024-08-20T21:40:22.2686396Z 2024-08-20T21:40:22.2686644Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:22.2687464Z >>> class RenamePlanner(DefaultLoadPlanner): 2024-08-20T21:40:22.2688278Z >>> def set_up_planner( 2024-08-20T21:40:22.2688865Z >>> self, 2024-08-20T21:40:22.2689403Z >>> state_dict: STATE_DICT_TYPE, 2024-08-20T21:40:22.2690126Z >>> metadata: Metadata, 2024-08-20T21:40:22.2690790Z >>> is_coordinator: bool, 2024-08-20T21:40:22.2691525Z >>> ) -> None: 2024-08-20T21:40:22.2692120Z >>> self.original_state_dict = state_dict 2024-08-20T21:40:22.2693126Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2024-08-20T21:40:22.2694012Z >>> 2024-08-20T21:40:22.2694518Z >>> if self.flatten_sharded_tensors: 2024-08-20T21:40:22.2695455Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2024-08-20T21:40:22.2696306Z >>> 2024-08-20T21:40:22.2696787Z >>> if self.flatten_state_dict: 2024-08-20T21:40:22.2697909Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2024-08-20T21:40:22.2698819Z >>> 2024-08-20T21:40:22.2699294Z >>> self.state_dict = state_dict 2024-08-20T21:40:22.2700030Z >>> self.metadata = metadata 2024-08-20T21:40:22.2700965Z >>> self.is_coordinator = is_coordinator 2024-08-20T21:40:22.2701714Z >>> 2024-08-20T21:40:22.2702240Z >>> def load_bytes(self, read_item, value): 2024-08-20T21:40:22.2703042Z >>> # Remove the "foo_" prefix 2024-08-20T21:40:22.2704346Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2024-08-20T21:40:22.2705440Z 2024-08-20T21:40:22.2705464Z 2024-08-20T21:40:22.2706080Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2024-08-20T21:40:22.2707038Z 2024-08-20T21:40:22.2707296Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:22.2708179Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2024-08-20T21:40:22.2709137Z >>> def resolve_tensor(self, read_item): 2024-08-20T21:40:22.2710009Z >>> tensor = super().resolve_tensor(read_item) 2024-08-20T21:40:22.2710938Z >>> return torch.empty_like(tensor, device="cpu") 2024-08-20T21:40:22.2711717Z >>> 2024-08-20T21:40:22.2712243Z >>> def commit_tensor(self, read_item, tensor): 2024-08-20T21:40:22.2713200Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2024-08-20T21:40:22.2714093Z 2024-08-20T21:40:22.2714832Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.2715694Z 2024-08-20T21:40:22.2799735Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=61. 2024-08-20T21:40:22.2802417Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.2803336Z 2024-08-20T21:40:22.2803669Z Load a distributed ``state_dict`` in SPMD style. 2024-08-20T21:40:22.2804279Z 2024-08-20T21:40:22.2804745Z Each rank will try to read the least amount of data necessary 2024-08-20T21:40:22.2806099Z to fullfill the requested `state_dict`. When loading :class:`ShardedTensor` 2024-08-20T21:40:22.2807655Z or :class:`DTensor` instances, each rank only reads data for their local shards. 2024-08-20T21:40:22.2808584Z 2024-08-20T21:40:22.2809237Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2024-08-20T21:40:22.2810891Z load will first call ``state_dict`` before attempting deserialization, followed by 2024-08-20T21:40:22.2812248Z ``load_state_dict`` once the deserialization is complete. 2024-08-20T21:40:22.2812946Z 2024-08-20T21:40:22.2813150Z .. warning:: 2024-08-20T21:40:22.2813823Z All tensors in ``state_dict`` must be allocated on their 2024-08-20T21:40:22.2814913Z destination device *prior to* calling this function. 2024-08-20T21:40:22.2815606Z 2024-08-20T21:40:22.2816398Z All non-tensor data is loaded using `torch.load()` and modified in place 2024-08-20T21:40:22.2817502Z on state_dict. 2024-08-20T21:40:22.2817848Z 2024-08-20T21:40:22.2818028Z .. warning:: 2024-08-20T21:40:22.2818803Z Users must call `load_state_dict` on the root module to ensure load 2024-08-20T21:40:22.2820192Z pos-processing and non-tensor data properly propagates. 2024-08-20T21:40:22.2821002Z 2024-08-20T21:40:22.2821187Z .. note: 2024-08-20T21:40:22.2821974Z If no process group is initialized, this function will assume the intent 2024-08-20T21:40:22.2823413Z is to load a checkpoint into the local process. This can be useful in the 2024-08-20T21:40:22.2824940Z case of local inference, and when using regular Tensors (as opposed to DTensor 2024-08-20T21:40:22.2826292Z or ShardedTensor) 2024-08-20T21:40:22.2826648Z 2024-08-20T21:40:22.2826826Z .. note: 2024-08-20T21:40:22.2827401Z Rank 0 is assumed to be the coordinator rank. 2024-08-20T21:40:22.2828058Z 2024-08-20T21:40:22.2828223Z Args: 2024-08-20T21:40:22.2829058Z state_dict (Dict[str, Any]): The state_dict to save. 2024-08-20T21:40:22.2830051Z checkpoint_id (Union[str, os.PathLike, None]): 2024-08-20T21:40:22.2831249Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2024-08-20T21:40:22.2832601Z depends on the storage. It can be a path to a folder or to a file. 2024-08-20T21:40:22.2834021Z It can also be a key if the storage is a key-value store. 2024-08-20T21:40:22.2834947Z (Default: ``None``) 2024-08-20T21:40:22.2835658Z storage_reader (Optional[StorageReader]): 2024-08-20T21:40:22.2836762Z Instance of StorageWriter used to perform reads. If this is not 2024-08-20T21:40:22.2838035Z specified, DCP will automatically infer the reader based on the 2024-08-20T21:40:22.2839218Z checkpoint_id. If checkpoint_id is also None, an exception will 2024-08-20T21:40:22.2840282Z be raised. (Default: ``None``) 2024-08-20T21:40:22.2841072Z planner (Optional[LoadPlanner]): 2024-08-20T21:40:22.2842117Z Instance of LoadPlanner. If this is not specificed, the default 2024-08-20T21:40:22.2843239Z planner will be used. (Default: ``None``) 2024-08-20T21:40:22.2844101Z process_group (Optional[ProcessGroup]): 2024-08-20T21:40:22.2845270Z ProcessGroup to be used for cross-rank synchronization. 2024-08-20T21:40:22.2846217Z (Default: ``None``) 2024-08-20T21:40:22.2846833Z 2024-08-20T21:40:22.2847003Z Returns: 2024-08-20T21:40:22.2847464Z None. 2024-08-20T21:40:22.2847727Z 2024-08-20T21:40:22.2847911Z Examples 2024-08-20T21:40:22.2848374Z >>> # xdoctest: +SKIP 2024-08-20T21:40:22.2848955Z >>> my_model = MyModule() 2024-08-20T21:40:22.2849620Z >>> optimizer = Adagrad(my_model.parameters()) 2024-08-20T21:40:22.2850482Z >>> model_state_dict = my_model.state_dict() 2024-08-20T21:40:22.2851761Z >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader("/checkpoint/1") 2024-08-20T21:40:22.2852771Z 2024-08-20T21:40:22.2853151Z >>> torch.distributed.checkpoint.load_state_dict( 2024-08-20T21:40:22.2854050Z >>> state_dict=model_state_dict, 2024-08-20T21:40:22.2854813Z >>> storage_reader=fs_storage_reader, 2024-08-20T21:40:22.2855540Z >>> ) 2024-08-20T21:40:22.2855792Z 2024-08-20T21:40:22.2856256Z >>> # module.load_state_dict() function might have customized steps 2024-08-20T21:40:22.2857372Z >>> # to flush the state_dict, must call it to 2024-08-20T21:40:22.2858253Z >>> # ensure correct behavior. 2024-08-20T21:40:22.2859014Z >>> my_model.load_state_dict(model_state_dict) 2024-08-20T21:40:22.2859604Z 2024-08-20T21:40:22.2859794Z .. note:: 2024-08-20T21:40:22.2860850Z load_state_dict uses collectives to coordinate reads across ranks. 2024-08-20T21:40:22.2862349Z For NCCL-based process groups, internal tensor representations of 2024-08-20T21:40:22.2863796Z objects must be moved to the GPU device before communication takes place. 2024-08-20T21:40:22.2865303Z In this case, the device used is given by ``torch.cuda.current_device()`` 2024-08-20T21:40:22.2866982Z and it is the user's responsibility to ensure that this is set so that each 2024-08-20T21:40:22.2868359Z rank has an individual GPU, via ``torch.cuda.set_device()``. 2024-08-20T21:40:22.2869150Z 2024-08-20T21:40:22.2869867Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.2870757Z 2024-08-20T21:40:22.2872622Z msg = Cannot scrape callname=save in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=67. 2024-08-20T21:40:22.2875250Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.2876194Z 2024-08-20T21:40:22.2876471Z Save a distributed model in SPMD style. 2024-08-20T21:40:22.2877027Z 2024-08-20T21:40:22.2877477Z This function is different from ``torch.save()`` as it handles 2024-08-20T21:40:22.2878879Z ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards. 2024-08-20T21:40:22.2879844Z 2024-08-20T21:40:22.2880665Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2024-08-20T21:40:22.2881962Z save will call ``state_dict`` before serialization. 2024-08-20T21:40:22.2882632Z 2024-08-20T21:40:22.2882823Z .. warning:: 2024-08-20T21:40:22.2883708Z There is no guarantees of Backwards Compatibility across PyTorch versions 2024-08-20T21:40:22.2884854Z for saved state_dicts. 2024-08-20T21:40:22.2885282Z 2024-08-20T21:40:22.2885463Z .. warning:: 2024-08-20T21:40:22.2886285Z If using the `process_group` argument, make sure that only its ranks 2024-08-20T21:40:22.2887655Z call `save_state_dict` and that all data in state_dict belong to it. 2024-08-20T21:40:22.2888498Z 2024-08-20T21:40:22.2888676Z .. note:: 2024-08-20T21:40:22.2889808Z When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of 2024-08-20T21:40:22.2891487Z the shard_group should be calling `save_state_dict` and the corresponding process 2024-08-20T21:40:22.2892731Z group needs to be passed in. 2024-08-20T21:40:22.2893225Z 2024-08-20T21:40:22.2893396Z .. note:: 2024-08-20T21:40:22.2894379Z If no process group is available, this function assumes the intention is to save the 2024-08-20T21:40:22.2895641Z state_dict in the local process. 2024-08-20T21:40:22.2896175Z 2024-08-20T21:40:22.2896493Z .. note: 2024-08-20T21:40:22.2897082Z Rank 0 is assumed to be the coordinator rank. 2024-08-20T21:40:22.2897709Z 2024-08-20T21:40:22.2897718Z 2024-08-20T21:40:22.2897877Z Args: 2024-08-20T21:40:22.2898497Z state_dict (Dict[str, Any]): The state_dict to save. 2024-08-20T21:40:22.2899498Z checkpoint_id (Union[str, os.PathLike, None]): 2024-08-20T21:40:22.2900806Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2024-08-20T21:40:22.2902194Z depends on the storage. It can be a path to a folder or to a file. 2024-08-20T21:40:22.2903651Z It can also be a key if the storage is a key-value store. 2024-08-20T21:40:22.2904612Z (Default: ``None``) 2024-08-20T21:40:22.2905317Z storage_writer (Optional[StorageWriter]): 2024-08-20T21:40:22.2906437Z Instance of StorageWriter used to perform writes. If this is not 2024-08-20T21:40:22.2907796Z specified, DCP will automatically infer the writer based on the 2024-08-20T21:40:22.2909109Z checkpoint_id. If checkpoint_id is also None, an exception will 2024-08-20T21:40:22.2910118Z be raised. (Default: ``None``) 2024-08-20T21:40:22.2910842Z planner (Optional[SavePlanner]): 2024-08-20T21:40:22.2911824Z Instance of SavePlanner. If this is not specificed, the default 2024-08-20T21:40:22.2912917Z planner will be used. (Default: ``None``) 2024-08-20T21:40:22.2913787Z process_group (Optional[ProcessGroup]): 2024-08-20T21:40:22.2914977Z ProcessGroup to be used for cross-rank synchronization. 2024-08-20T21:40:22.2915912Z (Default: ``None``) 2024-08-20T21:40:22.2916321Z 2024-08-20T21:40:22.2916517Z Returns: 2024-08-20T21:40:22.2917143Z Metadata: Metadata object for the saved checkpoint. 2024-08-20T21:40:22.2917833Z 2024-08-20T21:40:22.2918007Z Example: 2024-08-20T21:40:22.2918476Z >>> # xdoctest: +SKIP 2024-08-20T21:40:22.2919055Z >>> my_model = MyModule() 2024-08-20T21:40:22.2919497Z 2024-08-20T21:40:22.2919739Z >>> state_dict = {"model": my_model} 2024-08-20T21:40:22.2920259Z 2024-08-20T21:40:22.2921010Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter("/checkpoint/1") 2024-08-20T21:40:22.2922392Z >>> torch.distributed.checkpoint.save( 2024-08-20T21:40:22.2923201Z >>> state_dict=state_dict, 2024-08-20T21:40:22.2923944Z >>> storage_writer=fs_storage_writer, 2024-08-20T21:40:22.2924667Z >>> ) 2024-08-20T21:40:22.2924930Z 2024-08-20T21:40:22.2925109Z .. note:: 2024-08-20T21:40:22.2926091Z save_state_dict uses collectives to coordinate writes across ranks. 2024-08-20T21:40:22.2927824Z For NCCL-based process groups, internal tensor representations of 2024-08-20T21:40:22.2929182Z objects must be moved to the GPU device before communication takes place. 2024-08-20T21:40:22.2930661Z In this case, the device used is given by ``torch.cuda.current_device()`` 2024-08-20T21:40:22.2932256Z and it is the user's responsibility to ensure that this is set so that 2024-08-20T21:40:22.2933623Z each rank has an individual GPU, via ``torch.cuda.set_device()``. 2024-08-20T21:40:22.2934468Z 2024-08-20T21:40:22.2935246Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.2936198Z 2024-08-20T21:40:22.2938091Z msg = Cannot scrape callname=async_save in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=170. 2024-08-20T21:40:22.2940961Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.2942713Z Asynchronous version of ``save``. This code first de-stages the state_dict on to the 2024-08-20T21:40:22.2944410Z staging storage (defaults to CPU memory), and then calls the `save` in a separate thread. 2024-08-20T21:40:22.2945416Z 2024-08-20T21:40:22.2945637Z .. warning:: 2024-08-20T21:40:22.2946329Z This feature is experimental and subject to change. 2024-08-20T21:40:22.2947049Z 2024-08-20T21:40:22.2947218Z Args: 2024-08-20T21:40:22.2948120Z state_dict (Dict[str, Any]): The state_dict to save. 2024-08-20T21:40:22.2949080Z checkpoint_id (Union[str, os.PathLike, None]): 2024-08-20T21:40:22.2950255Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2024-08-20T21:40:22.2951672Z depends on the storage. It can be a path to a folder or to a file. 2024-08-20T21:40:22.2953103Z It can also be a key if the storage is a key-value store. 2024-08-20T21:40:22.2954030Z (Default: ``None``) 2024-08-20T21:40:22.2954769Z storage_writer (Optional[StorageWriter]): 2024-08-20T21:40:22.2956039Z Instance of StorageWriter used to perform 'stage' and 'save'. If 2024-08-20T21:40:22.2957440Z this is not specified, DCP will automatically infer the writer based on the 2024-08-20T21:40:22.2958883Z checkpoint_id. If checkpoint_id is also None, an exception will 2024-08-20T21:40:22.2959960Z be raised. (Default: ``None``) 2024-08-20T21:40:22.2961061Z planner (Optional[SavePlanner]): 2024-08-20T21:40:22.2962129Z Instance of SavePlanner. If this is not specificed, the default 2024-08-20T21:40:22.2963277Z planner will be used. (Default: ``None``) 2024-08-20T21:40:22.2964218Z process_group (Optional[ProcessGroup]): 2024-08-20T21:40:22.2965414Z ProcessGroup to be used for cross-rank synchronization. 2024-08-20T21:40:22.2966327Z (Default: ``None``) 2024-08-20T21:40:22.2966734Z 2024-08-20T21:40:22.2966921Z Returns: 2024-08-20T21:40:22.2967689Z Future: A future holding the resultant Metadata object from `save`. 2024-08-20T21:40:22.2968549Z 2024-08-20T21:40:22.2968723Z Example: 2024-08-20T21:40:22.2969207Z >>> # xdoctest: +SKIP 2024-08-20T21:40:22.2969817Z >>> my_model = MyModule() 2024-08-20T21:40:22.2970316Z 2024-08-20T21:40:22.2970558Z >>> state_dict = {"model": my_model} 2024-08-20T21:40:22.2971120Z 2024-08-20T21:40:22.2971856Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter("/checkpoint/1") 2024-08-20T21:40:22.2973396Z >>> checkpoint_future = torch.distributed.checkpoint.async_save( 2024-08-20T21:40:22.2974427Z >>> state_dict=state_dict, 2024-08-20T21:40:22.2975198Z >>> storage_writer=fs_storage_writer, 2024-08-20T21:40:22.2975881Z >>> ) 2024-08-20T21:40:22.2976339Z >>> 2024-08-20T21:40:22.2976824Z >>> # ... do some work ... 2024-08-20T21:40:22.2977432Z >>> 2024-08-20T21:40:22.2977919Z >>> checkpoint_future.result() 2024-08-20T21:40:22.2978413Z 2024-08-20T21:40:22.2978589Z 2024-08-20T21:40:22.2979778Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.2980817Z 2024-08-20T21:40:22.2994213Z msg = Cannot scrape callname=construct_and_record_rdzv_event in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/elastic/events/__init__.py line=91. 2024-08-20T21:40:22.2997176Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.2998173Z 2024-08-20T21:40:22.2998649Z Initialize rendezvous event object and record its operations. 2024-08-20T21:40:22.2999451Z 2024-08-20T21:40:22.2999624Z Args: 2024-08-20T21:40:22.3000167Z run_id (str): The run id of the rendezvous. 2024-08-20T21:40:22.3001112Z message (str): The message describing the event. 2024-08-20T21:40:22.3002415Z node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED). 2024-08-20T21:40:22.3003859Z name (str): Event name. (E.g. Current action being performed). 2024-08-20T21:40:22.3004929Z hostname (str): Hostname of the node. 2024-08-20T21:40:22.3005831Z pid (Optional[int]): The process id of the node. 2024-08-20T21:40:22.3007051Z master_endpoint (str): The master endpoint for the rendezvous store, if known. 2024-08-20T21:40:22.3008616Z local_id (Optional[int]): The local_id of the node, if defined in dynamic_rendezvous.py 2024-08-20T21:40:22.3010121Z rank (Optional[int]): The rank of the node, if known. 2024-08-20T21:40:22.3010966Z Returns: 2024-08-20T21:40:22.3011396Z None 2024-08-20T21:40:22.3011814Z Example: 2024-08-20T21:40:22.3012350Z >>> # See DynamicRendezvousHandler class 2024-08-20T21:40:22.3013109Z >>> def _record( 2024-08-20T21:40:22.3013596Z ... self, 2024-08-20T21:40:22.3014102Z ... message: str, 2024-08-20T21:40:22.3014800Z ... node_state: NodeState = NodeState.RUNNING, 2024-08-20T21:40:22.3015667Z ... rank: Optional[int] = None, 2024-08-20T21:40:22.3016480Z ... ) -> None: 2024-08-20T21:40:22.3017106Z ... construct_and_record_rdzv_event( 2024-08-20T21:40:22.3018051Z ... name=f"{self.__class__.__name__}.{get_method_name()}", 2024-08-20T21:40:22.3019036Z ... run_id=self._settings.run_id, 2024-08-20T21:40:22.3019816Z ... message=message, 2024-08-20T21:40:22.3020602Z ... node_state=node_state, 2024-08-20T21:40:22.3021393Z ... hostname=self._this_node.addr, 2024-08-20T21:40:22.3022209Z ... pid=self._this_node.pid, 2024-08-20T21:40:22.3023027Z ... local_id=self._this_node.local_id, 2024-08-20T21:40:22.3023824Z ... rank=rank, 2024-08-20T21:40:22.3024384Z ... ) 2024-08-20T21:40:22.3024668Z 2024-08-20T21:40:22.3025484Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.3026566Z 2024-08-20T21:40:22.4568180Z msg = Cannot scrape callname=MixedPrecision in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=113. 2024-08-20T21:40:22.4570707Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.4571611Z 2024-08-20T21:40:22.4572212Z This configures FSDP-native mixed precision training. 2024-08-20T21:40:22.4572913Z 2024-08-20T21:40:22.4573092Z Attributes: 2024-08-20T21:40:22.4573943Z param_dtype (Optional[torch.dtype]): This specifies the dtype for model 2024-08-20T21:40:22.4575381Z parameters during forward and backward and thus the dtype for 2024-08-20T21:40:22.4576744Z forward and backward computation. Outside forward and backward, the 2024-08-20T21:40:22.4578126Z *sharded* parameters are kept in full precision (e.g. for the 2024-08-20T21:40:22.4579439Z optimizer step), and for model checkpointing, the parameters are 2024-08-20T21:40:22.4580955Z always saved in full precision. (Default: ``None``) 2024-08-20T21:40:22.4582185Z reduce_dtype (Optional[torch.dtype]): This specifies the dtype for 2024-08-20T21:40:22.4584080Z gradient reduction (i.e. reduce-scatter or all-reduce). If this is 2024-08-20T21:40:22.4585366Z ``None`` but ``param_dtype`` is not ``None``, then this takes on 2024-08-20T21:40:22.4586548Z the ``param_dtype`` value, still running gradient reduction in low 2024-08-20T21:40:22.4587910Z precision. This is permitted to differ from ``param_dtype``, e.g. 2024-08-20T21:40:22.4589236Z to force gradient reduction to run in full precision. (Default: 2024-08-20T21:40:22.4590158Z ``None``) 2024-08-20T21:40:22.4590673Z buffer_dtype (Optional[torch.dtype]): This specifies the dtype for 2024-08-20T21:40:22.4591182Z buffers. FSDP does not shard buffers. Rather, FSDP casts them to 2024-08-20T21:40:22.4591655Z ``buffer_dtype`` in the first forward pass and keeps them in that 2024-08-20T21:40:22.4592175Z dtype thereafter. For model checkpointing, the buffers are saved 2024-08-20T21:40:22.4592638Z in full precision except for ``LOCAL_STATE_DICT``. (Default: 2024-08-20T21:40:22.4592846Z ``None``) 2024-08-20T21:40:22.4593333Z keep_low_precision_grads (bool): If ``False``, then FSDP upcasts 2024-08-20T21:40:22.4593877Z gradients to full precision after the backward pass in preparation 2024-08-20T21:40:22.4594399Z for the optimizer step. If ``True``, then FSDP keeps the gradients 2024-08-20T21:40:22.4595186Z in the dtype used for gradient reduction, which can save memory if 2024-08-20T21:40:22.4595697Z using a custom optimizer that supports running in low precision. 2024-08-20T21:40:22.4595914Z (Default: ``False``) 2024-08-20T21:40:22.4596429Z cast_forward_inputs (bool): If ``True``, then this FSDP module casts 2024-08-20T21:40:22.4596939Z its forward args and kwargs to ``param_dtype``. This is to ensure 2024-08-20T21:40:22.4597488Z that parameter and input dtypes match for forward computation, as 2024-08-20T21:40:22.4598002Z required by many ops. This may need to be set to ``True`` when only 2024-08-20T21:40:22.4598524Z applying mixed precision to some but not all FSDP modules, in which 2024-08-20T21:40:22.4599250Z case a mixed-precision FSDP submodule needs to recast its inputs. 2024-08-20T21:40:22.4599451Z (Default: ``False``) 2024-08-20T21:40:22.4599974Z cast_root_forward_inputs (bool): If ``True``, then the root FSDP module 2024-08-20T21:40:22.4600492Z casts its forward args and kwargs to ``param_dtype``, overriding 2024-08-20T21:40:22.4601119Z the value of ``cast_forward_inputs``. For non-root FSDP modules, 2024-08-20T21:40:22.4601464Z this does not do anything. (Default: ``True``) 2024-08-20T21:40:22.4601978Z _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies 2024-08-20T21:40:22.4602403Z module classes to ignore for mixed precision when using an 2024-08-20T21:40:22.4602851Z ``auto_wrap_policy``: Modules of these classes will have FSDP 2024-08-20T21:40:22.4603376Z applied to them separately with mixed precision disabled (meaning 2024-08-20T21:40:22.4603856Z that the final FSDP construction would deviate from the specified 2024-08-20T21:40:22.4604317Z policy). If ``auto_wrap_policy`` is not specified, then this does 2024-08-20T21:40:22.4604786Z not do anything. This API is experimental and subject to change. 2024-08-20T21:40:22.4605015Z (Default: ``(_BatchNorm,)``) 2024-08-20T21:40:22.4605044Z 2024-08-20T21:40:22.4605425Z .. note:: This API is experimental and subject to change. 2024-08-20T21:40:22.4605435Z 2024-08-20T21:40:22.4605961Z .. note:: Only floating point tensors are cast to their specified dtypes. 2024-08-20T21:40:22.4605971Z 2024-08-20T21:40:22.4606443Z .. note:: In ``summon_full_params``, parameters are forced to full 2024-08-20T21:40:22.4606690Z precision, but buffers are not. 2024-08-20T21:40:22.4606700Z 2024-08-20T21:40:22.4607232Z .. note:: Layer norm and batch norm accumulate in ``float32`` even when 2024-08-20T21:40:22.4607960Z their inputs are in a low precision like ``float16`` or ``bfloat16``. 2024-08-20T21:40:22.4608697Z Disabling FSDP's mixed precision for those norm modules only means that 2024-08-20T21:40:22.4609239Z the affine parameters are kept in ``float32``. However, this incurs 2024-08-20T21:40:22.4609921Z separate all-gathers and reduce-scatters for those norm modules, which 2024-08-20T21:40:22.4610493Z may be inefficient, so if the workload permits, the user should prefer 2024-08-20T21:40:22.4610857Z to still apply mixed precision to those modules. 2024-08-20T21:40:22.4610868Z 2024-08-20T21:40:22.4611408Z .. note:: By default, if the user passes a model with any ``_BatchNorm`` 2024-08-20T21:40:22.4611915Z modules and specifies an ``auto_wrap_policy``, then the batch norm 2024-08-20T21:40:22.4612498Z modules will have FSDP applied to them separately with mixed precision 2024-08-20T21:40:22.4612904Z disabled. See the ``_module_classes_to_ignore`` argument. 2024-08-20T21:40:22.4612914Z 2024-08-20T21:40:22.4613439Z .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and 2024-08-20T21:40:22.4613917Z ``cast_forward_inputs=False`` by default. For the root FSDP instance, 2024-08-20T21:40:22.4614324Z its ``cast_root_forward_inputs`` takes precedence over its 2024-08-20T21:40:22.4614900Z ``cast_forward_inputs``. For non-root FSDP instances, their 2024-08-20T21:40:22.4615570Z ``cast_root_forward_inputs`` values are ignored. The default setting is 2024-08-20T21:40:22.4616119Z sufficient for the typical case where each FSDP instance has the same 2024-08-20T21:40:22.4616672Z ``MixedPrecision`` configuration and only needs to cast inputs to the 2024-08-20T21:40:22.4617248Z ``param_dtype`` at the beginning of the model's forward pass. 2024-08-20T21:40:22.4617260Z 2024-08-20T21:40:22.4617773Z .. note:: For nested FSDP instances with different ``MixedPrecision`` 2024-08-20T21:40:22.4618378Z configurations, we recommend setting individual ``cast_forward_inputs`` 2024-08-20T21:40:22.4618918Z values to configure casting inputs or not before each instance's 2024-08-20T21:40:22.4619462Z forward. In such a case, since the casts happen before each FSDP 2024-08-20T21:40:22.4620139Z instance's forward, a parent FSDP instance should have its non-FSDP 2024-08-20T21:40:22.4620868Z submodules run before its FSDP submodules to avoid the activation dtype 2024-08-20T21:40:22.4621424Z being changed due to a different ``MixedPrecision`` configuration. 2024-08-20T21:40:22.4621434Z 2024-08-20T21:40:22.4621624Z Example:: 2024-08-20T21:40:22.4621634Z 2024-08-20T21:40:22.4621936Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:22.4622356Z >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3)) 2024-08-20T21:40:22.4622553Z >>> model[1] = FSDP( 2024-08-20T21:40:22.4622760Z >>> model[1], 2024-08-20T21:40:22.4623480Z >>> mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True), 2024-08-20T21:40:22.4623618Z >>> ) 2024-08-20T21:40:22.4623793Z >>> model = FSDP( 2024-08-20T21:40:22.4623972Z >>> model, 2024-08-20T21:40:22.4624706Z >>> mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True), 2024-08-20T21:40:22.4624885Z >>> ) 2024-08-20T21:40:22.4624905Z 2024-08-20T21:40:22.4625465Z The above shows a working example. On the other hand, if ``model[1]`` 2024-08-20T21:40:22.4626157Z were replaced with ``model[0]``, meaning that the submodule using 2024-08-20T21:40:22.4626707Z different ``MixedPrecision`` ran its forward first, then ``model[1]`` 2024-08-20T21:40:22.4627238Z would incorrectly see ``float16`` activations instead of ``bfloat16`` 2024-08-20T21:40:22.4627422Z ones. 2024-08-20T21:40:22.4627433Z 2024-08-20T21:40:22.4627442Z 2024-08-20T21:40:22.4628238Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.4628249Z 2024-08-20T21:40:22.4731962Z msg = Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=648. 2024-08-20T21:40:22.4732848Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.4733496Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2024-08-20T21:40:22.4733508Z 2024-08-20T21:40:22.4734295Z Also takes (optional) configuration for the model's and optimizer's state dict. 2024-08-20T21:40:22.4734824Z The target module does not have to be a FSDP module. If the target 2024-08-20T21:40:22.4735374Z module is a FSDP module, its ``state_dict_type`` will also be changed. 2024-08-20T21:40:22.4735385Z 2024-08-20T21:40:22.4735957Z .. note:: This API should be called for only the top-level (root) 2024-08-20T21:40:22.4736114Z module. 2024-08-20T21:40:22.4736123Z 2024-08-20T21:40:22.4736661Z .. note:: This API enables users to transparently use the conventional 2024-08-20T21:40:22.4737123Z ``state_dict`` API to take model checkpoints in cases where the 2024-08-20T21:40:22.4737661Z root FSDP module is wrapped by another ``nn.Module``. For example, 2024-08-20T21:40:22.4738369Z the following will ensure ``state_dict`` is called on all non-FSDP 2024-08-20T21:40:22.4739129Z instances, while dispatching into `sharded_state_dict` implementation 2024-08-20T21:40:22.4739336Z for FSDP: 2024-08-20T21:40:22.4739348Z 2024-08-20T21:40:22.4739544Z Example:: 2024-08-20T21:40:22.4739553Z 2024-08-20T21:40:22.4739878Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:22.4740135Z >>> model = DDP(FSDP(...)) 2024-08-20T21:40:22.4740380Z >>> FSDP.set_state_dict_type( 2024-08-20T21:40:22.4740660Z >>> model, 2024-08-20T21:40:22.4741028Z >>> StateDictType.SHARDED_STATE_DICT, 2024-08-20T21:40:22.4741566Z >>> state_dict_config = ShardedStateDictConfig(offload_to_cpu=True), 2024-08-20T21:40:22.4742142Z >>> optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True), 2024-08-20T21:40:22.4742320Z >>> ) 2024-08-20T21:40:22.4742619Z >>> param_state_dict = model.state_dict() 2024-08-20T21:40:22.4743060Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2024-08-20T21:40:22.4743071Z 2024-08-20T21:40:22.4743246Z Args: 2024-08-20T21:40:22.4743535Z module (torch.nn.Module): Root module. 2024-08-20T21:40:22.4744111Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2024-08-20T21:40:22.4744705Z state_dict_config (Optional[StateDictConfig]): the configuration for the 2024-08-20T21:40:22.4744991Z target ``state_dict_type``. 2024-08-20T21:40:22.4745639Z optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration 2024-08-20T21:40:22.4745914Z for the optimizer state dict. 2024-08-20T21:40:22.4745924Z 2024-08-20T21:40:22.4746110Z Returns: 2024-08-20T21:40:22.4746637Z A StateDictSettings that include the previous state_dict type and 2024-08-20T21:40:22.4746892Z configuration for the module. 2024-08-20T21:40:22.4747078Z 2024-08-20T21:40:22.4747850Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.4747861Z 2024-08-20T21:40:22.4750263Z msg = Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=804. 2024-08-20T21:40:22.4751062Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.4751732Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2024-08-20T21:40:22.4751743Z 2024-08-20T21:40:22.4752853Z This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of 2024-08-20T21:40:22.4753164Z :meth:`set_state_dict_type` for the detail. 2024-08-20T21:40:22.4753174Z 2024-08-20T21:40:22.4753364Z Example:: 2024-08-20T21:40:22.4753374Z 2024-08-20T21:40:22.4753718Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:22.4753962Z >>> model = DDP(FSDP(...)) 2024-08-20T21:40:22.4754222Z >>> with FSDP.state_dict_type( 2024-08-20T21:40:22.4754415Z >>> model, 2024-08-20T21:40:22.4754733Z >>> StateDictType.SHARDED_STATE_DICT, 2024-08-20T21:40:22.4754918Z >>> ): 2024-08-20T21:40:22.4755199Z >>> checkpoint = model.state_dict() 2024-08-20T21:40:22.4755210Z 2024-08-20T21:40:22.4755378Z Args: 2024-08-20T21:40:22.4755682Z module (torch.nn.Module): Root module. 2024-08-20T21:40:22.4756257Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2024-08-20T21:40:22.4756833Z state_dict_config (Optional[StateDictConfig]): the model ``state_dict`` 2024-08-20T21:40:22.4757239Z configuration for the target ``state_dict_type``. 2024-08-20T21:40:22.4758514Z optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer 2024-08-20T21:40:22.4760050Z ``state_dict`` configuration for the target ``state_dict_type``. 2024-08-20T21:40:22.4761364Z 2024-08-20T21:40:22.4762464Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.4763421Z 2024-08-20T21:40:22.4805052Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1801. 2024-08-20T21:40:22.4806711Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.4807400Z 2024-08-20T21:40:22.4807971Z Transform the state-dict of an optimizer corresponding to a sharded model. 2024-08-20T21:40:22.4808673Z 2024-08-20T21:40:22.4809288Z The given state-dict can be transformed to one of three types: 2024-08-20T21:40:22.4810122Z 1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict. 2024-08-20T21:40:22.4810701Z 2024-08-20T21:40:22.4811029Z For full optimizer state_dict, all states are unflattened and not sharded. 2024-08-20T21:40:22.4811799Z Rank0 only and CPU only can be specified via :meth:`state_dict_type` to 2024-08-20T21:40:22.4812368Z avoid OOM. 2024-08-20T21:40:22.4812517Z 2024-08-20T21:40:22.4812839Z For sharded optimizer state_dict, all states are unflattened but sharded. 2024-08-20T21:40:22.4813590Z CPU only can be specified via :meth:`state_dict_type` to further save 2024-08-20T21:40:22.4814142Z memory. 2024-08-20T21:40:22.4814278Z 2024-08-20T21:40:22.4814585Z For local state_dict, no transformation will be performed. But a state 2024-08-20T21:40:22.4815368Z will be converted from nn.Tensor to ShardedTensor to represent its sharding 2024-08-20T21:40:22.4815995Z nature (this is not supported yet). 2024-08-20T21:40:22.4816280Z 2024-08-20T21:40:22.4816384Z Example:: 2024-08-20T21:40:22.4816530Z 2024-08-20T21:40:22.4816707Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:22.4817348Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2024-08-20T21:40:22.4818034Z >>> from torch.distributed.fsdp import StateDictType 2024-08-20T21:40:22.4818640Z >>> from torch.distributed.fsdp import FullStateDictConfig 2024-08-20T21:40:22.4819298Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2024-08-20T21:40:22.4819841Z >>> # Save a checkpoint 2024-08-20T21:40:22.4820182Z >>> model, optim = ... 2024-08-20T21:40:22.4820631Z >>> FSDP.set_state_dict_type( 2024-08-20T21:40:22.4820992Z >>> model, 2024-08-20T21:40:22.4821316Z >>> StateDictType.FULL_STATE_DICT, 2024-08-20T21:40:22.4821966Z >>> FullStateDictConfig(rank0_only=False), 2024-08-20T21:40:22.4822501Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-08-20T21:40:22.4822953Z >>> ) 2024-08-20T21:40:22.4823223Z >>> state_dict = model.state_dict() 2024-08-20T21:40:22.4823731Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2024-08-20T21:40:22.4824309Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2024-08-20T21:40:22.4824763Z >>> # Load a checkpoint 2024-08-20T21:40:22.4825103Z >>> model, optim = ... 2024-08-20T21:40:22.4825524Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2024-08-20T21:40:22.4826190Z >>> FSDP.set_state_dict_type( 2024-08-20T21:40:22.4826551Z >>> model, 2024-08-20T21:40:22.4826877Z >>> StateDictType.FULL_STATE_DICT, 2024-08-20T21:40:22.4827336Z >>> FullStateDictConfig(rank0_only=False), 2024-08-20T21:40:22.4827862Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-08-20T21:40:22.4828317Z >>> ) 2024-08-20T21:40:22.4828590Z >>> model.load_state_dict(state_dict) 2024-08-20T21:40:22.4829080Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2024-08-20T21:40:22.4829578Z >>> model, optim, optim_state_dict 2024-08-20T21:40:22.4829958Z >>> ) 2024-08-20T21:40:22.4830266Z >>> optim.load_state_dict(optim_state_dict) 2024-08-20T21:40:22.4830710Z 2024-08-20T21:40:22.4830816Z Args: 2024-08-20T21:40:22.4831210Z model (torch.nn.Module): Root module (which may or may not be a 2024-08-20T21:40:22.4831916Z :class:`FullyShardedDataParallel` instance) whose parameters 2024-08-20T21:40:22.4832520Z were passed into the optimizer ``optim``. 2024-08-20T21:40:22.4833160Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2024-08-20T21:40:22.4833657Z parameters. 2024-08-20T21:40:22.4834130Z optim_state_dict (Dict[str, Any]): the target optimizer state_dict to 2024-08-20T21:40:22.4834879Z transform. If the value is None, optim.state_dict() will be used. ( 2024-08-20T21:40:22.4835439Z Default: ``None``) 2024-08-20T21:40:22.4836056Z group (dist.ProcessGroup): Model's process group across which parameters 2024-08-20T21:40:22.4836797Z are sharded or ``None`` if using the default process group. ( 2024-08-20T21:40:22.4837314Z Default: ``None``) 2024-08-20T21:40:22.4837545Z 2024-08-20T21:40:22.4837639Z Returns: 2024-08-20T21:40:22.4838058Z Dict[str, Any]: A :class:`dict` containing the optimizer state for 2024-08-20T21:40:22.4838711Z ``model``. The sharding of the optimizer state is based on 2024-08-20T21:40:22.4839215Z ``state_dict_type``. 2024-08-20T21:40:22.4839423Z 2024-08-20T21:40:22.4839835Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.4840324Z 2024-08-20T21:40:22.4841657Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1899. 2024-08-20T21:40:22.4843446Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.4843950Z 2024-08-20T21:40:22.4844545Z Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model. 2024-08-20T21:40:22.4845229Z 2024-08-20T21:40:22.4845447Z Given a ``optim_state_dict`` that is transformed through 2024-08-20T21:40:22.4846106Z :meth:`optim_state_dict`, it gets converted to the flattened optimizer 2024-08-20T21:40:22.4846824Z state_dict that can be loaded to ``optim`` which is the optimizer for 2024-08-20T21:40:22.4847535Z ``model``. ``model`` must be sharded by FullyShardedDataParallel. 2024-08-20T21:40:22.4847959Z 2024-08-20T21:40:22.4848123Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:22.4848765Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2024-08-20T21:40:22.4849448Z >>> from torch.distributed.fsdp import StateDictType 2024-08-20T21:40:22.4850152Z >>> from torch.distributed.fsdp import FullStateDictConfig 2024-08-20T21:40:22.4850826Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2024-08-20T21:40:22.4851360Z >>> # Save a checkpoint 2024-08-20T21:40:22.4851707Z >>> model, optim = ... 2024-08-20T21:40:22.4852061Z >>> FSDP.set_state_dict_type( 2024-08-20T21:40:22.4852424Z >>> model, 2024-08-20T21:40:22.4852891Z >>> StateDictType.FULL_STATE_DICT, 2024-08-20T21:40:22.4853369Z >>> FullStateDictConfig(rank0_only=False), 2024-08-20T21:40:22.4853882Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-08-20T21:40:22.4854333Z >>> ) 2024-08-20T21:40:22.4854612Z >>> state_dict = model.state_dict() 2024-08-20T21:40:22.4855026Z >>> original_osd = optim.state_dict() 2024-08-20T21:40:22.4855484Z >>> optim_state_dict = FSDP.optim_state_dict( 2024-08-20T21:40:22.4855909Z >>> model, 2024-08-20T21:40:22.4856168Z >>> optim, 2024-08-20T21:40:22.4856481Z >>> optim_state_dict=original_osd 2024-08-20T21:40:22.4856866Z >>> ) 2024-08-20T21:40:22.4857187Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2024-08-20T21:40:22.4857651Z >>> # Load a checkpoint 2024-08-20T21:40:22.4857987Z >>> model, optim = ... 2024-08-20T21:40:22.4858396Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2024-08-20T21:40:22.4858956Z >>> FSDP.set_state_dict_type( 2024-08-20T21:40:22.4859314Z >>> model, 2024-08-20T21:40:22.4859621Z >>> StateDictType.FULL_STATE_DICT, 2024-08-20T21:40:22.4860091Z >>> FullStateDictConfig(rank0_only=False), 2024-08-20T21:40:22.4860722Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-08-20T21:40:22.4861219Z >>> ) 2024-08-20T21:40:22.4861508Z >>> model.load_state_dict(state_dict) 2024-08-20T21:40:22.4862003Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2024-08-20T21:40:22.4862488Z >>> model, optim, optim_state_dict 2024-08-20T21:40:22.4862880Z >>> ) 2024-08-20T21:40:22.4863187Z >>> optim.load_state_dict(optim_state_dict) 2024-08-20T21:40:22.4863504Z 2024-08-20T21:40:22.4863594Z Args: 2024-08-20T21:40:22.4863996Z model (torch.nn.Module): Root module (which may or may not be a 2024-08-20T21:40:22.4864688Z :class:`FullyShardedDataParallel` instance) whose parameters 2024-08-20T21:40:22.4865276Z were passed into the optimizer ``optim``. 2024-08-20T21:40:22.4865903Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2024-08-20T21:40:22.4866410Z parameters. 2024-08-20T21:40:22.4866868Z optim_state_dict (Dict[str, Any]): The optimizer states to be loaded. 2024-08-20T21:40:22.4867587Z is_named_optimizer (bool): Is this optimizer a NamedOptimizer or 2024-08-20T21:40:22.4868310Z KeyedOptimizer. Only set to True if ``optim`` is TorchRec's 2024-08-20T21:40:22.4869020Z KeyedOptimizer or torch.distributed's NamedOptimizer. 2024-08-20T21:40:22.4869674Z load_directly (bool): If this is set to True, this API will also 2024-08-20T21:40:22.4870368Z call optim.load_state_dict(result) before returning the result. 2024-08-20T21:40:22.4871096Z Otherwise, users are responsible to call ``optim.load_state_dict()`` 2024-08-20T21:40:22.4871653Z (Default: ``False``) 2024-08-20T21:40:22.4872270Z group (dist.ProcessGroup): Model's process group across which parameters 2024-08-20T21:40:22.4873007Z are sharded or ``None`` if using the default process group. ( 2024-08-20T21:40:22.4873522Z Default: ``None``) 2024-08-20T21:40:22.4873750Z 2024-08-20T21:40:22.4874144Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.4874627Z 2024-08-20T21:40:22.4999235Z msg = Cannot scrape callname=_RemoteModule.__init__ in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=137. 2024-08-20T21:40:22.5000682Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.5001378Z 2024-08-20T21:40:22.5001681Z RemoteModule instance can only be created after RPC initialization. 2024-08-20T21:40:22.5002132Z 2024-08-20T21:40:22.5002455Z It creates a user-specified module on a specified remote node. 2024-08-20T21:40:22.5003205Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2024-08-20T21:40:22.5003834Z executed on the remote node. 2024-08-20T21:40:22.5004380Z It takes care of autograd recording to ensure the backward pass propagates 2024-08-20T21:40:22.5005055Z gradients back to the corresponding remote module. 2024-08-20T21:40:22.5005892Z It can be shared across processors using `RPC framework `__, 2024-08-20T21:40:22.5006787Z without incurring any overheads of copying the actual module, 2024-08-20T21:40:22.5007469Z which is equivalent to an :class:`~torch.distributed.rpc.RRef` 2024-08-20T21:40:22.5008175Z pointing to the remote module. 2024-08-20T21:40:22.5008485Z 2024-08-20T21:40:22.5008965Z The arguments of ``forward_async`` and ``forward`` are the same as 2024-08-20T21:40:22.5010045Z the ``forward`` method of the module returned by the ``module_cls``. 2024-08-20T21:40:22.5010490Z 2024-08-20T21:40:22.5010974Z Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now. 2024-08-20T21:40:22.5011739Z 2024-08-20T21:40:22.5012094Z Particularly, to create a hybrid model, typically the local modules should be 2024-08-20T21:40:22.5013223Z created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``). 2024-08-20T21:40:22.5014054Z Hybrid Example: 2024-08-20T21:40:22.5014371Z >>> class HybridModel(nn.Module): 2024-08-20T21:40:22.5014937Z >>> def __init__(self) -> None: 2024-08-20T21:40:22.5015417Z >>> nn.Module.__init__(self) 2024-08-20T21:40:22.5015913Z >>> self.remote_embedding = RemoteModule(...) 2024-08-20T21:40:22.5016601Z >>> self.local_linear = nn.Linear(...) 2024-08-20T21:40:22.5017097Z 2024-08-20T21:40:22.5017539Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2024-08-20T21:40:22.5018923Z that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``, 2024-08-20T21:40:22.5019707Z the generated ``RemoteModule`` will have 2 methods in signature of 2024-08-20T21:40:22.5020364Z ``def forward(input: Tensor) -> Tensor:`` and 2024-08-20T21:40:22.5021142Z ``def forward_async(input: Tensor) -> Future[Tensor]:``. 2024-08-20T21:40:22.5021507Z 2024-08-20T21:40:22.5021629Z .. note:: 2024-08-20T21:40:22.5021960Z If the remote module is placed on a cuda device, 2024-08-20T21:40:22.5022639Z any input CPU tensors will be automatically moved to the same cuda device, 2024-08-20T21:40:22.5023707Z and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend. 2024-08-20T21:40:22.5024440Z 2024-08-20T21:40:22.5024543Z Args: 2024-08-20T21:40:22.5025172Z remote_device (str): Device on the destination worker where we'd like to place this module. 2024-08-20T21:40:22.5026350Z The device can be a local device or a remote device specified by one of the following remote 2024-08-20T21:40:22.5027039Z formats: 2024-08-20T21:40:22.5027209Z 2024-08-20T21:40:22.5027393Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2024-08-20T21:40:22.5027943Z 2. "/" (ex: "trainer0/cuda:0"). 2024-08-20T21:40:22.5028303Z 2024-08-20T21:40:22.5028655Z In addition, the device field can be optional and the default value is "cpu". 2024-08-20T21:40:22.5029292Z module_cls (nn.Module): For example, 2024-08-20T21:40:22.5029718Z >>> class MyModule(nn.Module): 2024-08-20T21:40:22.5030121Z >>> def forward(input): 2024-08-20T21:40:22.5030492Z >>> return input + 1 2024-08-20T21:40:22.5030860Z >>> 2024-08-20T21:40:22.5031128Z >>> module_cls = MyModule 2024-08-20T21:40:22.5031755Z args (Sequence, optional): args to be passed to ``module_cls``. 2024-08-20T21:40:22.5032438Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2024-08-20T21:40:22.5033224Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2024-08-20T21:40:22.5034097Z to be created. The type object should be decorated by @torch.jit.interface. 2024-08-20T21:40:22.5034989Z If not provided, the generated RemoteModule is not torchscript-able. 2024-08-20T21:40:22.5035782Z Warning, this is an experimental API and susceptible to frequent changes. 2024-08-20T21:40:22.5036273Z 2024-08-20T21:40:22.5036380Z Returns: 2024-08-20T21:40:22.5036845Z A remote module instance which wraps the :class:`~nn.Module` created by the 2024-08-20T21:40:22.5037723Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2024-08-20T21:40:22.5038547Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2024-08-20T21:40:22.5039312Z on the user-provided module on the remote side. 2024-08-20T21:40:22.5039670Z 2024-08-20T21:40:22.5039770Z Example:: 2024-08-20T21:40:22.5040118Z Run the following code in two different processes: 2024-08-20T21:40:22.5040472Z 2024-08-20T21:40:22.5040627Z >>> # xdoctest: +SKIP("distributed") 2024-08-20T21:40:22.5041129Z >>> # On worker 0: 2024-08-20T21:40:22.5041435Z >>> import torch 2024-08-20T21:40:22.5041787Z >>> import torch.distributed.rpc as rpc 2024-08-20T21:40:22.5042224Z >>> from torch import nn, Tensor 2024-08-20T21:40:22.5042799Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2024-08-20T21:40:22.5043356Z >>> 2024-08-20T21:40:22.5043663Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2024-08-20T21:40:22.5044156Z >>> remote_linear_module = RemoteModule( 2024-08-20T21:40:22.5044633Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2024-08-20T21:40:22.5045039Z >>> ) 2024-08-20T21:40:22.5045317Z >>> input = torch.randn(128, 20) 2024-08-20T21:40:22.5045802Z >>> ret_fut = remote_linear_module.forward_async(input) 2024-08-20T21:40:22.5046270Z >>> ret = ret_fut.wait() 2024-08-20T21:40:22.5046608Z >>> rpc.shutdown() 2024-08-20T21:40:22.5046804Z 2024-08-20T21:40:22.5046922Z >>> # On worker 1: 2024-08-20T21:40:22.5047207Z >>> import torch 2024-08-20T21:40:22.5047558Z >>> import torch.distributed.rpc as rpc 2024-08-20T21:40:22.5047960Z >>> 2024-08-20T21:40:22.5048261Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2024-08-20T21:40:22.5048707Z >>> rpc.shutdown() 2024-08-20T21:40:22.5048905Z 2024-08-20T21:40:22.5049323Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.5049807Z 2024-08-20T21:40:22.5050958Z msg = Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=514. 2024-08-20T21:40:22.5052457Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.5052962Z 2024-08-20T21:40:22.5053383Z Besides the constructor, a RemoteModule instance can also be initialized given a module RRef. 2024-08-20T21:40:22.5053983Z 2024-08-20T21:40:22.5054407Z This alternate initialization method can be particularly useful if we want to create multiple 2024-08-20T21:40:22.5055426Z RemoteModule instances that share the same underlying module and reduce memory consumption. 2024-08-20T21:40:22.5056007Z 2024-08-20T21:40:22.5056384Z Moreover, this also provides a workaround for passing script RemoteModule over RPC, 2024-08-20T21:40:22.5057141Z which is not supported. The recommended way is as follows: 2024-08-20T21:40:22.5057548Z 2024-08-20T21:40:22.5057689Z 1. the sender creates a RemoteModule; 2024-08-20T21:40:22.5058177Z 2. the sender sends its ``module_rref`` over RPC; 2024-08-20T21:40:22.5059034Z 3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``. 2024-08-20T21:40:22.5059681Z 2024-08-20T21:40:22.5059778Z Example:: 2024-08-20T21:40:22.5060131Z Run the following code in two different processes: 2024-08-20T21:40:22.5060574Z 2024-08-20T21:40:22.5060726Z >>> # xdoctest: +SKIP("distributed") 2024-08-20T21:40:22.5061118Z >>> # On worker 0: 2024-08-20T21:40:22.5061427Z >>> import torch 2024-08-20T21:40:22.5061781Z >>> import torch.distributed.rpc as rpc 2024-08-20T21:40:22.5062213Z >>> from torch import nn, Tensor 2024-08-20T21:40:22.5062783Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2024-08-20T21:40:22.5063334Z >>> 2024-08-20T21:40:22.5063640Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2024-08-20T21:40:22.5064115Z >>> remote_module = RemoteModule( 2024-08-20T21:40:22.5064561Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2024-08-20T21:40:22.5064972Z >>> ) 2024-08-20T21:40:22.5065214Z >>> 2024-08-20T21:40:22.5065482Z >>> remote_module1 = rpc.rpc_sync( 2024-08-20T21:40:22.5065864Z >>> "worker1/cpu", 2024-08-20T21:40:22.5066243Z >>> RemoteModule.init_from_module_rref, 2024-08-20T21:40:22.5066761Z >>> ("worker1/cpu", remote_module1.get_module_rref()), 2024-08-20T21:40:22.5067206Z >>> ) 2024-08-20T21:40:22.5067461Z >>> rpc.shutdown() 2024-08-20T21:40:22.5067658Z 2024-08-20T21:40:22.5067837Z >>> # On worker 1: 2024-08-20T21:40:22.5068128Z >>> import torch 2024-08-20T21:40:22.5068477Z >>> import torch.distributed.rpc as rpc 2024-08-20T21:40:22.5068887Z >>> 2024-08-20T21:40:22.5069193Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2024-08-20T21:40:22.5069643Z >>> rpc.shutdown() 2024-08-20T21:40:22.5069841Z 2024-08-20T21:40:22.5069942Z Args: 2024-08-20T21:40:22.5070581Z remote_device (str): Device on the destination worker where we'd like to place this module. 2024-08-20T21:40:22.5071576Z The device can be a local device or a remote device specified by one of the following remote 2024-08-20T21:40:22.5072272Z formats: 2024-08-20T21:40:22.5072443Z 2024-08-20T21:40:22.5072626Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2024-08-20T21:40:22.5073176Z 2. "/" (ex: "trainer0/cuda:0"). 2024-08-20T21:40:22.5073536Z 2024-08-20T21:40:22.5073891Z In addition, the device field can be optional and the default value is "cpu". 2024-08-20T21:40:22.5074758Z module_rref (RRef[nn.Module]): The module reference shared by both the caller and 2024-08-20T21:40:22.5075385Z the created remote module. 2024-08-20T21:40:22.5076013Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2024-08-20T21:40:22.5076888Z to be created. The type object should be decorated by @torch.jit.interface. 2024-08-20T21:40:22.5077759Z If not provided, the generated RemoteModule is not torchscript-able. 2024-08-20T21:40:22.5078550Z Warning, this is an experimental API and susceptible to frequent changes. 2024-08-20T21:40:22.5079042Z 2024-08-20T21:40:22.5079148Z Returns: 2024-08-20T21:40:22.5079608Z A remote module instance which wraps the :class:`~nn.Module` created by the 2024-08-20T21:40:22.5080487Z user-provided ``module_rref``, it has a blocking ``forward`` method and an 2024-08-20T21:40:22.5081322Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2024-08-20T21:40:22.5082093Z on the user-provided module on the remote side. 2024-08-20T21:40:22.5082440Z 2024-08-20T21:40:22.5082835Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.5083334Z 2024-08-20T21:40:22.5084282Z msg = Cannot scrape callname=RemoteModule in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=606. 2024-08-20T21:40:22.5085669Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.5086173Z 2024-08-20T21:40:22.5086528Z A RemoteModule instance can only be created after RPC initialization. 2024-08-20T21:40:22.5087010Z 2024-08-20T21:40:22.5087340Z It creates a user-specified module on a specified remote node. 2024-08-20T21:40:22.5088102Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2024-08-20T21:40:22.5088727Z executed on the remote node. 2024-08-20T21:40:22.5089303Z It takes care of autograd recording to ensure the backward pass propagates 2024-08-20T21:40:22.5089997Z gradients back to the corresponding remote module. 2024-08-20T21:40:22.5090360Z 2024-08-20T21:40:22.5090672Z It generates two methods ``forward_async`` and ``forward`` based on the 2024-08-20T21:40:22.5091423Z signature of the ``forward`` method of ``module_cls``. ``forward_async`` 2024-08-20T21:40:22.5092218Z runs asynchronously and returns a Future. The arguments of ``forward_async`` 2024-08-20T21:40:22.5092992Z and ``forward`` are the same as the ``forward`` method of the module 2024-08-20T21:40:22.5093555Z returned by the ``module_cls``. 2024-08-20T21:40:22.5093835Z 2024-08-20T21:40:22.5094106Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2024-08-20T21:40:22.5094970Z that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``, 2024-08-20T21:40:22.5095784Z the generated ``RemoteModule`` will have 2 methods with the signatures: 2024-08-20T21:40:22.5096306Z 2024-08-20T21:40:22.5096517Z | ``def forward(input: Tensor) -> Tensor:`` 2024-08-20T21:40:22.5097112Z | ``def forward_async(input: Tensor) -> Future[Tensor]:`` 2024-08-20T21:40:22.5097483Z 2024-08-20T21:40:22.5097588Z Args: 2024-08-20T21:40:22.5098208Z remote_device (str): Device on the destination worker where we'd like to place this module. 2024-08-20T21:40:22.5099247Z The format should be "/", where the device field can be parsed as torch.device type. 2024-08-20T21:40:22.5100060Z E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0". 2024-08-20T21:40:22.5100832Z In addition, the device field can be optional and the default value is "cpu". 2024-08-20T21:40:22.5101678Z module_cls (nn.Module): Class for the module to be created remotely. For example, 2024-08-20T21:40:22.5102208Z 2024-08-20T21:40:22.5102341Z >>> class MyModule(nn.Module): 2024-08-20T21:40:22.5102749Z >>> def forward(input): 2024-08-20T21:40:22.5103128Z >>> return input + 1 2024-08-20T21:40:22.5103498Z >>> 2024-08-20T21:40:22.5103765Z >>> module_cls = MyModule 2024-08-20T21:40:22.5104012Z 2024-08-20T21:40:22.5104268Z args (Sequence, optional): args to be passed to ``module_cls``. 2024-08-20T21:40:22.5104945Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2024-08-20T21:40:22.5105365Z 2024-08-20T21:40:22.5105468Z Returns: 2024-08-20T21:40:22.5105925Z A remote module instance which wraps the :class:`~nn.Module` created by the 2024-08-20T21:40:22.5106802Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2024-08-20T21:40:22.5107627Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2024-08-20T21:40:22.5108391Z on the user-provided module on the remote side. 2024-08-20T21:40:22.5108736Z 2024-08-20T21:40:22.5108836Z Example:: 2024-08-20T21:40:22.5109184Z Run the following code in two different processes: 2024-08-20T21:40:22.5109546Z 2024-08-20T21:40:22.5109693Z >>> # xdoctest: +SKIP("distributed") 2024-08-20T21:40:22.5110084Z >>> # On worker 0: 2024-08-20T21:40:22.5110385Z >>> import torch 2024-08-20T21:40:22.5110729Z >>> import torch.distributed.rpc as rpc 2024-08-20T21:40:22.5111162Z >>> from torch import nn, Tensor 2024-08-20T21:40:22.5111728Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2024-08-20T21:40:22.5112277Z >>> 2024-08-20T21:40:22.5112581Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2024-08-20T21:40:22.5113071Z >>> remote_linear_module = RemoteModule( 2024-08-20T21:40:22.5113610Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2024-08-20T21:40:22.5114024Z >>> ) 2024-08-20T21:40:22.5114298Z >>> input = torch.randn(128, 20) 2024-08-20T21:40:22.5114783Z >>> ret_fut = remote_linear_module.forward_async(input) 2024-08-20T21:40:22.5115250Z >>> ret = ret_fut.wait() 2024-08-20T21:40:22.5115593Z >>> rpc.shutdown() 2024-08-20T21:40:22.5115793Z 2024-08-20T21:40:22.5115911Z >>> # On worker 1: 2024-08-20T21:40:22.5116203Z >>> import torch 2024-08-20T21:40:22.5116547Z >>> import torch.distributed.rpc as rpc 2024-08-20T21:40:22.5116948Z >>> 2024-08-20T21:40:22.5117247Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2024-08-20T21:40:22.5117690Z >>> rpc.shutdown() 2024-08-20T21:40:22.5117888Z 2024-08-20T21:40:22.5118142Z Furthermore, a more practical example that is combined with 2024-08-20T21:40:22.5119168Z `DistributedDataParallel `__ (DDP) 2024-08-20T21:40:22.5120409Z can be found in this `tutorial `__. 2024-08-20T21:40:22.5121034Z 2024-08-20T21:40:22.5121439Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.5121926Z 2024-08-20T21:40:22.5161894Z msg = Cannot scrape callname=_CustomReducer in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py line=28. 2024-08-20T21:40:22.5163457Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.5163984Z 2024-08-20T21:40:22.5164294Z Custom reducer class that can be used to specify a custom operation that 2024-08-20T21:40:22.5164982Z reduces losses of multiple microbatches into one value. 2024-08-20T21:40:22.5165366Z 2024-08-20T21:40:22.5165459Z Example: 2024-08-20T21:40:22.5165795Z >>> # xdoctest: +SKIP 2024-08-20T21:40:22.5166109Z >>> sum_reducer = _CustomReducer( 2024-08-20T21:40:22.5166487Z >>> torch.tensor(0.0), 2024-08-20T21:40:22.5166823Z >>> lambda a, b: a + b 2024-08-20T21:40:22.5167118Z >>> ) 2024-08-20T21:40:22.5167263Z 2024-08-20T21:40:22.5167664Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.5168149Z 2024-08-20T21:40:22.5566727Z msg = Cannot scrape callname=async_execution in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/functions.py line=6. 2024-08-20T21:40:22.5568091Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.5568666Z 2024-08-20T21:40:22.5569002Z A decorator for a function indicating that the return value of the function 2024-08-20T21:40:22.5569769Z is guaranteed to be a :class:`~torch.futures.Future` object and this 2024-08-20T21:40:22.5570533Z function can run asynchronously on the RPC callee. More specifically, the 2024-08-20T21:40:22.5571337Z callee extracts the :class:`~torch.futures.Future` returned by the wrapped 2024-08-20T21:40:22.5572117Z function and installs subsequent processing steps as a callback to that 2024-08-20T21:40:22.5572903Z :class:`~torch.futures.Future`. The installed callback will read the value 2024-08-20T21:40:22.5573661Z from the :class:`~torch.futures.Future` when completed and send the 2024-08-20T21:40:22.5574352Z value back as the RPC response. That also means the returned 2024-08-20T21:40:22.5575059Z :class:`~torch.futures.Future` only exists on the callee side and is never 2024-08-20T21:40:22.5575867Z sent through RPC. This decorator is useful when the wrapped function's 2024-08-20T21:40:22.5576589Z (``fn``) execution needs to pause and resume due to, e.g., containing 2024-08-20T21:40:22.5577308Z :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals. 2024-08-20T21:40:22.5577777Z 2024-08-20T21:40:22.5578072Z .. note:: To enable asynchronous execution, applications must pass the 2024-08-20T21:40:22.5578829Z function object returned by this decorator to RPC APIs. If RPC detected 2024-08-20T21:40:22.5579796Z attributes installed by this decorator, it knows that this function 2024-08-20T21:40:22.5580597Z returns a ``Future`` object and will handle that accordingly. 2024-08-20T21:40:22.5581391Z However, this does not mean this decorator has to be outmost one when 2024-08-20T21:40:22.5582151Z defining a function. For example, when combined with ``@staticmethod`` 2024-08-20T21:40:22.5582899Z or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the 2024-08-20T21:40:22.5583652Z inner decorator to allow the target function be recognized as a static 2024-08-20T21:40:22.5584430Z or class function. This target function can still execute asynchronously 2024-08-20T21:40:22.5585241Z because, when accessed, the static or class method preserves attributes 2024-08-20T21:40:22.5585928Z installed by ``@rpc.functions.async_execution``. 2024-08-20T21:40:22.5586278Z 2024-08-20T21:40:22.5586283Z 2024-08-20T21:40:22.5586391Z Example:: 2024-08-20T21:40:22.5586805Z The returned :class:`~torch.futures.Future` object can come from 2024-08-20T21:40:22.5587408Z :meth:`~torch.distributed.rpc.rpc_async`, 2024-08-20T21:40:22.5588028Z :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future` 2024-08-20T21:40:22.5588718Z constructor. The example below shows directly using the 2024-08-20T21:40:22.5589354Z :class:`~torch.futures.Future` returned by 2024-08-20T21:40:22.5589822Z :meth:`~torch.futures.Future.then`. 2024-08-20T21:40:22.5590114Z 2024-08-20T21:40:22.5590273Z >>> from torch.distributed import rpc 2024-08-20T21:40:22.5590652Z >>> 2024-08-20T21:40:22.5590935Z >>> # omitting setup and shutdown RPC 2024-08-20T21:40:22.5591321Z >>> 2024-08-20T21:40:22.5591551Z >>> # On all workers 2024-08-20T21:40:22.5591895Z >>> @rpc.functions.async_execution 2024-08-20T21:40:22.5592320Z >>> def async_add_chained(to, x, y, z): 2024-08-20T21:40:22.5592867Z >>> # This function runs on "worker1" and returns immediately when 2024-08-20T21:40:22.5593547Z >>> # the callback is installed through the `then(cb)` API. In the 2024-08-20T21:40:22.5594223Z >>> # mean time, the `rpc_async` to "worker2" can run concurrently. 2024-08-20T21:40:22.5594855Z >>> # When the return value of that `rpc_async` arrives at 2024-08-20T21:40:22.5595488Z >>> # "worker1", "worker1" will run the lambda function accordingly 2024-08-20T21:40:22.5596208Z >>> # and set the value for the previously returned `Future`, which 2024-08-20T21:40:22.5596878Z >>> # will then trigger RPC to send the result back to "worker0". 2024-08-20T21:40:22.5597518Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-08-20T21:40:22.5598039Z >>> lambda fut: fut.wait() + z 2024-08-20T21:40:22.5598417Z >>> ) 2024-08-20T21:40:22.5598666Z >>> 2024-08-20T21:40:22.5598905Z >>> # On worker0 2024-08-20T21:40:22.5599193Z >>> # xdoctest: +SKIP 2024-08-20T21:40:22.5599521Z >>> ret = rpc.rpc_sync( 2024-08-20T21:40:22.5599848Z >>> "worker1", 2024-08-20T21:40:22.5600142Z >>> async_add_chained, 2024-08-20T21:40:22.5600526Z >>> args=("worker2", torch.ones(2), 1, 1) 2024-08-20T21:40:22.5600933Z >>> ) 2024-08-20T21:40:22.5601214Z >>> print(ret) # prints tensor([3., 3.]) 2024-08-20T21:40:22.5601530Z 2024-08-20T21:40:22.5601836Z When combined with TorchScript decorators, this decorator must be the 2024-08-20T21:40:22.5602404Z outmost one. 2024-08-20T21:40:22.5602574Z 2024-08-20T21:40:22.5602707Z >>> from torch import Tensor 2024-08-20T21:40:22.5603089Z >>> from torch.futures import Future 2024-08-20T21:40:22.5603570Z >>> from torch.distributed import rpc 2024-08-20T21:40:22.5604128Z >>> 2024-08-20T21:40:22.5604395Z >>> # omitting setup and shutdown RPC 2024-08-20T21:40:22.5605062Z >>> 2024-08-20T21:40:22.5605483Z >>> # On all workers 2024-08-20T21:40:22.5605803Z >>> @torch.jit.script 2024-08-20T21:40:22.5606409Z >>> def script_add(x: Tensor, y: Tensor) -> Tensor: 2024-08-20T21:40:22.5606853Z >>> return x + y 2024-08-20T21:40:22.5607151Z >>> 2024-08-20T21:40:22.5607426Z >>> @rpc.functions.async_execution 2024-08-20T21:40:22.5607809Z >>> @torch.jit.script 2024-08-20T21:40:22.5608357Z >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]: 2024-08-20T21:40:22.5608967Z >>> return rpc.rpc_async(to, script_add, (x, y)) 2024-08-20T21:40:22.5609388Z >>> 2024-08-20T21:40:22.5609626Z >>> # On worker0 2024-08-20T21:40:22.5609925Z >>> ret = rpc.rpc_sync( 2024-08-20T21:40:22.5610240Z >>> "worker1", 2024-08-20T21:40:22.5610533Z >>> async_add, 2024-08-20T21:40:22.5610873Z >>> args=("worker2", torch.ones(2), 1) 2024-08-20T21:40:22.5611261Z >>> ) 2024-08-20T21:40:22.5611556Z >>> print(ret) # prints tensor([2., 2.]) 2024-08-20T21:40:22.5611863Z 2024-08-20T21:40:22.5612170Z When combined with static or class method, this decorator must be the 2024-08-20T21:40:22.5612736Z inner one. 2024-08-20T21:40:22.5612898Z 2024-08-20T21:40:22.5613043Z >>> from torch.distributed import rpc 2024-08-20T21:40:22.5613434Z >>> 2024-08-20T21:40:22.5613712Z >>> # omitting setup and shutdown RPC 2024-08-20T21:40:22.5614084Z >>> 2024-08-20T21:40:22.5614330Z >>> # On all workers 2024-08-20T21:40:22.5614733Z >>> class AsyncExecutionClass: 2024-08-20T21:40:22.5615082Z >>> 2024-08-20T21:40:22.5615329Z >>> @staticmethod 2024-08-20T21:40:22.5615684Z >>> @rpc.functions.async_execution 2024-08-20T21:40:22.5616125Z >>> def static_async_add(to, x, y, z): 2024-08-20T21:40:22.5616658Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-08-20T21:40:22.5617199Z >>> lambda fut: fut.wait() + z 2024-08-20T21:40:22.5617588Z >>> ) 2024-08-20T21:40:22.5617856Z >>> 2024-08-20T21:40:22.5618099Z >>> @classmethod 2024-08-20T21:40:22.5618434Z >>> @rpc.functions.async_execution 2024-08-20T21:40:22.5618896Z >>> def class_async_add(cls, to, x, y, z): 2024-08-20T21:40:22.5619374Z >>> ret_fut = torch.futures.Future() 2024-08-20T21:40:22.5619875Z >>> rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-08-20T21:40:22.5620530Z >>> lambda fut: ret_fut.set_result(fut.wait() + z) 2024-08-20T21:40:22.5620997Z >>> ) 2024-08-20T21:40:22.5621267Z >>> return ret_fut 2024-08-20T21:40:22.5621588Z >>> 2024-08-20T21:40:22.5621870Z >>> @rpc.functions.async_execution 2024-08-20T21:40:22.5622317Z >>> def bound_async_add(self, to, x, y, z): 2024-08-20T21:40:22.5622864Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-08-20T21:40:22.5635019Z >>> lambda fut: fut.wait() + z 2024-08-20T21:40:22.5635537Z >>> ) 2024-08-20T21:40:22.5635814Z >>> 2024-08-20T21:40:22.5636049Z >>> # On worker0 2024-08-20T21:40:22.5636362Z >>> ret = rpc.rpc_sync( 2024-08-20T21:40:22.5636705Z >>> "worker1", 2024-08-20T21:40:22.5637064Z >>> AsyncExecutionClass.static_async_add, 2024-08-20T21:40:22.5637558Z >>> args=("worker2", torch.ones(2), 1, 2) 2024-08-20T21:40:22.5637968Z >>> ) 2024-08-20T21:40:22.5638259Z >>> print(ret) # prints tensor([4., 4.]) 2024-08-20T21:40:22.5638666Z >>> 2024-08-20T21:40:22.5638928Z >>> ret = rpc.rpc_sync( 2024-08-20T21:40:22.5639247Z >>> "worker1", 2024-08-20T21:40:22.5639614Z >>> AsyncExecutionClass.class_async_add, 2024-08-20T21:40:22.5640107Z >>> args=("worker2", torch.ones(2), 1, 2) 2024-08-20T21:40:22.5640506Z >>> ) 2024-08-20T21:40:22.5640806Z >>> print(ret) # prints tensor([4., 4.]) 2024-08-20T21:40:22.5641115Z 2024-08-20T21:40:22.5641360Z This decorator also works with RRef helpers, i.e., . 2024-08-20T21:40:22.5641902Z :meth:`torch.distributed.rpc.RRef.rpc_sync`, 2024-08-20T21:40:22.5642454Z :meth:`torch.distributed.rpc.RRef.rpc_async`, and 2024-08-20T21:40:22.5643163Z :meth:`torch.distributed.rpc.RRef.remote`. 2024-08-20T21:40:22.5643503Z 2024-08-20T21:40:22.5643665Z >>> from torch.distributed import rpc 2024-08-20T21:40:22.5644051Z >>> 2024-08-20T21:40:22.5644367Z >>> # reuse the AsyncExecutionClass class above 2024-08-20T21:40:22.5644914Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2024-08-20T21:40:22.5645559Z >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2) 2024-08-20T21:40:22.5646167Z >>> print(ret) # prints tensor([4., 4.]) 2024-08-20T21:40:22.5646570Z >>> 2024-08-20T21:40:22.5646900Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2024-08-20T21:40:22.5647586Z >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait() 2024-08-20T21:40:22.5648231Z >>> print(ret) # prints tensor([4., 4.]) 2024-08-20T21:40:22.5648623Z >>> 2024-08-20T21:40:22.5648965Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2024-08-20T21:40:22.5649649Z >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here() 2024-08-20T21:40:22.5650277Z >>> print(ret) # prints tensor([4., 4.]) 2024-08-20T21:40:22.5650599Z 2024-08-20T21:40:22.5651057Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.5651549Z 2024-08-20T21:40:22.5652681Z msg = Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/options.py line=108. 2024-08-20T21:40:22.5654281Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.5654781Z 2024-08-20T21:40:22.5655063Z Set device mapping between each RPC caller and callee pair. This 2024-08-20T21:40:22.5655716Z function can be called multiple times to incrementally add 2024-08-20T21:40:22.5656249Z device placement configurations. 2024-08-20T21:40:22.5656509Z 2024-08-20T21:40:22.5656612Z Args: 2024-08-20T21:40:22.5656853Z to (str): Callee name. 2024-08-20T21:40:22.5657342Z device_map (Dict of int, str, or torch.device): Device placement 2024-08-20T21:40:22.5658133Z mappings from this worker to the callee. This map must be 2024-08-20T21:40:22.5658628Z invertible. 2024-08-20T21:40:22.5658825Z 2024-08-20T21:40:22.5658919Z Example: 2024-08-20T21:40:22.5659209Z >>> # xdoctest: +SKIP("distributed") 2024-08-20T21:40:22.5659603Z >>> # both workers 2024-08-20T21:40:22.5659909Z >>> def add(x, y): 2024-08-20T21:40:22.5660363Z >>> print(x) # tensor([1., 1.], device='cuda:1') 2024-08-20T21:40:22.5660995Z >>> return x + y, (x + y).to(2) 2024-08-20T21:40:22.5661371Z >>> 2024-08-20T21:40:22.5661620Z >>> # on worker 0 2024-08-20T21:40:22.5661980Z >>> options = TensorPipeRpcBackendOptions( 2024-08-20T21:40:22.5662113Z >>> num_worker_threads=8, 2024-08-20T21:40:22.5662249Z >>> device_maps={"worker1": {0: 1}} 2024-08-20T21:40:22.5662489Z >>> # maps worker0's cuda:0 to worker1's cuda:1 2024-08-20T21:40:22.5662601Z >>> ) 2024-08-20T21:40:22.5662764Z >>> options.set_device_map("worker1", {1: 2}) 2024-08-20T21:40:22.5662988Z >>> # maps worker0's cuda:1 to worker1's cuda:2 2024-08-20T21:40:22.5663094Z >>> 2024-08-20T21:40:22.5663199Z >>> rpc.init_rpc( 2024-08-20T21:40:22.5663300Z >>> "worker0", 2024-08-20T21:40:22.5663415Z >>> rank=0, 2024-08-20T21:40:22.5663520Z >>> world_size=2, 2024-08-20T21:40:22.5663687Z >>> backend=rpc.BackendType.TENSORPIPE, 2024-08-20T21:40:22.5663830Z >>> rpc_backend_options=options 2024-08-20T21:40:22.5663922Z >>> ) 2024-08-20T21:40:22.5664012Z >>> 2024-08-20T21:40:22.5664134Z >>> x = torch.ones(2) 2024-08-20T21:40:22.5664345Z >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1)) 2024-08-20T21:40:22.5664610Z >>> # The first argument will be moved to cuda:1 on worker1. When 2024-08-20T21:40:22.5664855Z >>> # sending the return value back, it will follow the invert of 2024-08-20T21:40:22.5665184Z >>> # the device map, and hence will be moved back to cuda:0 and 2024-08-20T21:40:22.5665310Z >>> # cuda:1 on worker0 2024-08-20T21:40:22.5665572Z >>> print(rets[0]) # tensor([2., 2.], device='cuda:0') 2024-08-20T21:40:22.5665820Z >>> print(rets[1]) # tensor([2., 2.], device='cuda:1') 2024-08-20T21:40:22.5665831Z 2024-08-20T21:40:22.5666244Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.5666250Z 2024-08-20T21:40:22.5811590Z msg = Cannot scrape callname=PrepareModuleInput in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=378. 2024-08-20T21:40:22.5812028Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.5812035Z 2024-08-20T21:40:22.5812699Z Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to 2024-08-20T21:40:22.5813147Z ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``. 2024-08-20T21:40:22.5813153Z 2024-08-20T21:40:22.5813255Z Keyword Args: 2024-08-20T21:40:22.5813506Z input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2024-08-20T21:40:22.5813983Z The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to 2024-08-20T21:40:22.5814648Z DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified 2024-08-20T21:40:22.5814794Z as a placeholder. default: None. 2024-08-20T21:40:22.5815097Z desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2024-08-20T21:40:22.5815635Z The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module 2024-08-20T21:40:22.5816441Z have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None. 2024-08-20T21:40:22.5816715Z input_kwarg_layouts (Dict[str, Placement]): 2024-08-20T21:40:22.5817511Z The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors. 2024-08-20T21:40:22.5817632Z default: None 2024-08-20T21:40:22.5817834Z desired_input_kwarg_layouts: (Dict[str, Placement]): 2024-08-20T21:40:22.5818372Z The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module 2024-08-20T21:40:22.5818582Z have the desired DTensor layouts. default: None. 2024-08-20T21:40:22.5818717Z use_local_output (bool, optional): 2024-08-20T21:40:22.5819234Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False. 2024-08-20T21:40:22.5819328Z Returns: 2024-08-20T21:40:22.5819887Z A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs. 2024-08-20T21:40:22.5819894Z 2024-08-20T21:40:22.5820015Z Example:: 2024-08-20T21:40:22.5820146Z >>> # xdoctest: +SKIP(failing) 2024-08-20T21:40:22.5820659Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput 2024-08-20T21:40:22.5820922Z >>> from torch.distributed.device_mesh import init_device_mesh 2024-08-20T21:40:22.5821015Z >>> ... 2024-08-20T21:40:22.5821444Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2024-08-20T21:40:22.5821614Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2024-08-20T21:40:22.5821763Z >>> 2024-08-20T21:40:22.5822245Z >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor 2024-08-20T21:40:22.5822431Z >>> # and then redistributed to Replicated DTensor. 2024-08-20T21:40:22.5822545Z >>> parallelize_module( 2024-08-20T21:40:22.5822732Z >>> block, # this can be a submodule or module 2024-08-20T21:40:22.5822832Z >>> tp_mesh, 2024-08-20T21:40:22.5823090Z >>> parallelize_plan={ 2024-08-20T21:40:22.5823255Z >>> "attn": PrepareModuleInput( 2024-08-20T21:40:22.5823436Z >>> input_layouts=(Shard(0), None, None, ...), 2024-08-20T21:40:22.5823656Z >>> desired_input_layouts=(Replicate(), None, None, ...) 2024-08-20T21:40:22.5823767Z >>> ), 2024-08-20T21:40:22.5823866Z >>> } 2024-08-20T21:40:22.5823960Z >>> ) 2024-08-20T21:40:22.5823966Z 2024-08-20T21:40:22.5824393Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.5824399Z 2024-08-20T21:40:22.5825439Z msg = Cannot scrape callname=PrepareModuleOutput in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=533. 2024-08-20T21:40:22.5826038Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.5826044Z 2024-08-20T21:40:22.5826706Z Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to 2024-08-20T21:40:22.5827146Z ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``. 2024-08-20T21:40:22.5827152Z 2024-08-20T21:40:22.5827253Z Keyword Args: 2024-08-20T21:40:22.5827460Z output_layouts (Union[Placement, Tuple[Placement]]): 2024-08-20T21:40:22.5828033Z The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to 2024-08-20T21:40:22.5828578Z DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors, 2024-08-20T21:40:22.5828762Z ``None`` need to be specified as a placeholder. 2024-08-20T21:40:22.5829020Z desired_output_layouts (Union[Placement, Tuple[Placement]]): 2024-08-20T21:40:22.5829570Z The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module 2024-08-20T21:40:22.5829724Z have the desired DTensor layouts. 2024-08-20T21:40:22.5829864Z use_local_output (bool, optional): 2024-08-20T21:40:22.5830372Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True. 2024-08-20T21:40:22.5830479Z Returns: 2024-08-20T21:40:22.5830957Z A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs. 2024-08-20T21:40:22.5830968Z 2024-08-20T21:40:22.5831125Z Example:: 2024-08-20T21:40:22.5831265Z >>> # xdoctest: +SKIP(failing) 2024-08-20T21:40:22.5831683Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput 2024-08-20T21:40:22.5831929Z >>> from torch.distributed.device_mesh import init_device_mesh 2024-08-20T21:40:22.5832037Z >>> ... 2024-08-20T21:40:22.5832464Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2024-08-20T21:40:22.5832633Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2024-08-20T21:40:22.5832767Z >>> 2024-08-20T21:40:22.5833328Z >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor 2024-08-20T21:40:22.5833515Z >>> # and then redistributed to Sharded DTensor. 2024-08-20T21:40:22.5833631Z >>> parallelize_module( 2024-08-20T21:40:22.5833811Z >>> block, # this can be a submodule or module 2024-08-20T21:40:22.5833929Z >>> tp_mesh, 2024-08-20T21:40:22.5834105Z >>> parallelize_plan = PrepareModuleOutput( 2024-08-20T21:40:22.5834245Z >>> output_layouts=Replicate(), 2024-08-20T21:40:22.5834407Z >>> desired_output_layouts=Shard(0) 2024-08-20T21:40:22.5834501Z >>> ) 2024-08-20T21:40:22.5834594Z >>> ) 2024-08-20T21:40:22.5834599Z 2024-08-20T21:40:22.5835012Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.5835019Z 2024-08-20T21:40:22.7952152Z msg = Cannot scrape callname=assoc_in in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=230. 2024-08-20T21:40:22.7952776Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.7953272Z Return a new dict with new, potentially nested, key value pair 2024-08-20T21:40:22.7953335Z 2024-08-20T21:40:22.7953545Z >>> purchase = {'name': 'Alice', 2024-08-20T21:40:22.7953797Z ... 'order': {'items': ['Apple', 'Orange'], 2024-08-20T21:40:22.7954008Z ... 'costs': [0.50, 1.25]}, 2024-08-20T21:40:22.7954242Z ... 'credit card': '5555-1234-1234-1234'} 2024-08-20T21:40:22.7954675Z >>> assoc_in(purchase, ['order', 'costs'], [0.25, 1.00]) # doctest: +SKIP 2024-08-20T21:40:22.7954940Z {'credit card': '5555-1234-1234-1234', 2024-08-20T21:40:22.7955140Z 'name': 'Alice', 2024-08-20T21:40:22.7955441Z 'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}} 2024-08-20T21:40:22.7955530Z 2024-08-20T21:40:22.7955975Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.7955985Z 2024-08-20T21:40:22.7957447Z msg = Cannot scrape callname=update_in in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=245. 2024-08-20T21:40:22.7957875Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.7958192Z Update value in a (potentially) nested dictionary 2024-08-20T21:40:22.7958200Z 2024-08-20T21:40:22.7958351Z inputs: 2024-08-20T21:40:22.7958649Z d - dictionary on which to operate 2024-08-20T21:40:22.7959193Z keys - list or tuple giving the location of the value to be changed in d 2024-08-20T21:40:22.7959525Z func - function to operate on that value 2024-08-20T21:40:22.7959548Z 2024-08-20T21:40:22.7959841Z If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the 2024-08-20T21:40:22.7960155Z original dictionary with v replaced by func(v), but does not mutate the 2024-08-20T21:40:22.7960280Z original dictionary. 2024-08-20T21:40:22.7960287Z 2024-08-20T21:40:22.7960601Z If k0 is not a key in d, update_in creates nested dictionaries to the depth 2024-08-20T21:40:22.7960896Z specified by the keys, with the innermost value set to func(default). 2024-08-20T21:40:22.7960902Z 2024-08-20T21:40:22.7961041Z >>> inc = lambda x: x + 1 2024-08-20T21:40:22.7961222Z >>> update_in({'a': 0}, ['a'], inc) 2024-08-20T21:40:22.7961344Z {'a': 1} 2024-08-20T21:40:22.7961364Z 2024-08-20T21:40:22.7961538Z >>> transaction = {'name': 'Alice', 2024-08-20T21:40:22.7961788Z ... 'purchase': {'items': ['Apple', 'Orange'], 2024-08-20T21:40:22.7962023Z ... 'costs': [0.50, 1.25]}, 2024-08-20T21:40:22.7962250Z ... 'credit card': '5555-1234-1234-1234'} 2024-08-20T21:40:22.7962604Z >>> update_in(transaction, ['purchase', 'costs'], sum) # doctest: +SKIP 2024-08-20T21:40:22.7962806Z {'credit card': '5555-1234-1234-1234', 2024-08-20T21:40:22.7962940Z 'name': 'Alice', 2024-08-20T21:40:22.7963216Z 'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}} 2024-08-20T21:40:22.7963222Z 2024-08-20T21:40:22.7963392Z >>> # updating a value when k0 is not in d 2024-08-20T21:40:22.7963553Z >>> update_in({}, [1, 2, 3], str, default="bar") 2024-08-20T21:40:22.7963698Z {1: {2: {3: 'bar'}}} 2024-08-20T21:40:22.7963912Z >>> update_in({1: 'foo'}, [2, 3, 4], inc, 0) 2024-08-20T21:40:22.7964063Z {1: 'foo', 2: {3: {4: 1}}} 2024-08-20T21:40:22.7964169Z 2024-08-20T21:40:22.7964568Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.7964574Z 2024-08-20T21:40:22.7965625Z msg = Cannot scrape callname=get_in in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=303. 2024-08-20T21:40:22.7966048Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.7966354Z Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys. 2024-08-20T21:40:22.7966361Z 2024-08-20T21:40:22.7966635Z If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless 2024-08-20T21:40:22.7966900Z ``no_default`` is specified, then it raises KeyError or IndexError. 2024-08-20T21:40:22.7966905Z 2024-08-20T21:40:22.7967199Z ``get_in`` is a generalization of ``operator.getitem`` for nested data 2024-08-20T21:40:22.7967377Z structures such as dictionaries and lists. 2024-08-20T21:40:22.7967383Z 2024-08-20T21:40:22.7967560Z >>> transaction = {'name': 'Alice', 2024-08-20T21:40:22.7967825Z ... 'purchase': {'items': ['Apple', 'Orange'], 2024-08-20T21:40:22.7968045Z ... 'costs': [0.50, 1.25]}, 2024-08-20T21:40:22.7968273Z ... 'credit card': '5555-1234-1234-1234'} 2024-08-20T21:40:22.7968515Z >>> get_in(['purchase', 'items', 0], transaction) 2024-08-20T21:40:22.7968636Z 'Apple' 2024-08-20T21:40:22.7968808Z >>> get_in(['name'], transaction) 2024-08-20T21:40:22.7968938Z 'Alice' 2024-08-20T21:40:22.7969149Z >>> get_in(['purchase', 'total'], transaction) 2024-08-20T21:40:22.7969405Z >>> get_in(['purchase', 'items', 'apple'], transaction) 2024-08-20T21:40:22.7969647Z >>> get_in(['purchase', 'items', 10], transaction) 2024-08-20T21:40:22.7969941Z >>> get_in(['purchase', 'total'], transaction, 0) 2024-08-20T21:40:22.7970031Z 0 2024-08-20T21:40:22.7970222Z >>> get_in(['y'], {}, no_default=True) 2024-08-20T21:40:22.7970356Z Traceback (most recent call last): 2024-08-20T21:40:22.7970452Z ... 2024-08-20T21:40:22.7970599Z KeyError: 'y' 2024-08-20T21:40:22.7970605Z 2024-08-20T21:40:22.7970700Z See Also: 2024-08-20T21:40:22.7970804Z itertoolz.get 2024-08-20T21:40:22.7970930Z operator.getitem 2024-08-20T21:40:22.7971017Z 2024-08-20T21:40:22.7971432Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.7971438Z 2024-08-20T21:40:22.7972471Z msg = Cannot scrape callname=groupby in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=355. 2024-08-20T21:40:22.7972884Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:22.7973037Z Group a collection by a key function 2024-08-20T21:40:22.7973047Z 2024-08-20T21:40:22.7973345Z >>> names = ['Alice', 'Bob', 'Charlie', 'Dan', 'Edith', 'Frank'] 2024-08-20T21:40:22.7973500Z >>> groupby(len, names) # doctest: +SKIP 2024-08-20T21:40:22.7973816Z {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']} 2024-08-20T21:40:22.7973821Z 2024-08-20T21:40:22.7973950Z >>> iseven = lambda x: x % 2 == 0 2024-08-20T21:40:22.7974199Z >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8]) # doctest: +SKIP 2024-08-20T21:40:22.7974344Z {False: [1, 3, 5, 7], True: [2, 4, 6, 8]} 2024-08-20T21:40:22.7974349Z 2024-08-20T21:40:22.7974583Z Non-callable keys imply grouping on a member. 2024-08-20T21:40:22.7974589Z 2024-08-20T21:40:22.7974869Z >>> groupby('gender', [{'name': 'Alice', 'gender': 'F'}, 2024-08-20T21:40:22.7975096Z ... {'name': 'Bob', 'gender': 'M'}, 2024-08-20T21:40:22.7975386Z ... {'name': 'Charlie', 'gender': 'M'}]) # doctest:+SKIP 2024-08-20T21:40:22.7975598Z {'F': [{'gender': 'F', 'name': 'Alice'}], 2024-08-20T21:40:22.7975779Z 'M': [{'gender': 'M', 'name': 'Bob'}, 2024-08-20T21:40:22.7975992Z {'gender': 'M', 'name': 'Charlie'}]} 2024-08-20T21:40:22.7975997Z 2024-08-20T21:40:22.7976175Z Not to be confused with ``itertools.groupby`` 2024-08-20T21:40:22.7976180Z 2024-08-20T21:40:22.7976279Z See Also: 2024-08-20T21:40:22.7976387Z countby 2024-08-20T21:40:22.7976474Z 2024-08-20T21:40:22.7976875Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:22.7976880Z 2024-08-20T21:40:23.1249904Z msg = Cannot scrape callname=SyncBatchNorm in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=601. 2024-08-20T21:40:23.1252488Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.1253919Z Applies Batch Normalization over a N-Dimensional input. 2024-08-20T21:40:23.1254717Z 2024-08-20T21:40:23.1255869Z The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper 2024-08-20T21:40:23.1257674Z `Batch Normalization: Accelerating Deep Network Training by Reducing 2024-08-20T21:40:23.1259008Z Internal Covariate Shift `__ . 2024-08-20T21:40:23.1259859Z 2024-08-20T21:40:23.1260061Z .. math:: 2024-08-20T21:40:23.1260347Z 2024-08-20T21:40:23.1261532Z y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta 2024-08-20T21:40:23.1262418Z 2024-08-20T21:40:23.1263144Z The mean and standard-deviation are calculated per-dimension over all 2024-08-20T21:40:23.1264795Z mini-batches of the same process groups. :math:`\gamma` and :math:`\beta` 2024-08-20T21:40:23.1266270Z are learnable parameter vectors of size `C` (where `C` is the input size). 2024-08-20T21:40:23.1267645Z By default, the elements of :math:`\gamma` are sampled from 2024-08-20T21:40:23.1268901Z :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0. 2024-08-20T21:40:23.1270839Z The standard-deviation is calculated via the biased estimator, equivalent to 2024-08-20T21:40:23.1272032Z `torch.var(input, unbiased=False)`. 2024-08-20T21:40:23.1272553Z 2024-08-20T21:40:23.1273134Z Also by default, during training this layer keeps running estimates of its 2024-08-20T21:40:23.1274640Z computed mean and variance, which are then used for normalization during 2024-08-20T21:40:23.1276142Z evaluation. The running estimates are kept with a default :attr:`momentum` 2024-08-20T21:40:23.1277242Z of 0.1. 2024-08-20T21:40:23.1277523Z 2024-08-20T21:40:23.1278114Z If :attr:`track_running_stats` is set to ``False``, this layer then does not 2024-08-20T21:40:23.1279741Z keep running estimates, and batch statistics are instead used during 2024-08-20T21:40:23.1280789Z evaluation time as well. 2024-08-20T21:40:23.1281222Z 2024-08-20T21:40:23.1281415Z .. note:: 2024-08-20T21:40:23.1282285Z This :attr:`momentum` argument is different from one used in optimizer 2024-08-20T21:40:23.1283731Z classes and the conventional notion of momentum. Mathematically, the 2024-08-20T21:40:23.1284914Z update rule for running statistics here is 2024-08-20T21:40:23.1286535Z :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`, 2024-08-20T21:40:23.1288137Z where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the 2024-08-20T21:40:23.1289133Z new observed value. 2024-08-20T21:40:23.1289567Z 2024-08-20T21:40:23.1290350Z Because the Batch Normalization is done for each channel in the ``C`` dimension, computing 2024-08-20T21:40:23.1292289Z statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch 2024-08-20T21:40:23.1293802Z Normalization or Spatio-temporal Batch Normalization. 2024-08-20T21:40:23.1294529Z 2024-08-20T21:40:23.1294857Z Currently :class:`SyncBatchNorm` only supports 2024-08-20T21:40:23.1296218Z :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use 2024-08-20T21:40:23.1297782Z :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert 2024-08-20T21:40:23.1299123Z :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping 2024-08-20T21:40:23.1300155Z Network with DDP. 2024-08-20T21:40:23.1300594Z 2024-08-20T21:40:23.1300784Z Args: 2024-08-20T21:40:23.1301433Z num_features: :math:`C` from an expected input of size 2024-08-20T21:40:23.1302346Z :math:`(N, C, +)` 2024-08-20T21:40:23.1303474Z eps: a value added to the denominator for numerical stability. 2024-08-20T21:40:23.1304651Z Default: ``1e-5`` 2024-08-20T21:40:23.1305424Z momentum: the value used for the running_mean and running_var 2024-08-20T21:40:23.1306729Z computation. Can be set to ``None`` for cumulative moving average 2024-08-20T21:40:23.1307847Z (i.e. simple average). Default: 0.1 2024-08-20T21:40:23.1308942Z affine: a boolean value that when set to ``True``, this module has 2024-08-20T21:40:23.1310112Z learnable affine parameters. Default: ``True`` 2024-08-20T21:40:23.1311315Z track_running_stats: a boolean value that when set to ``True``, this 2024-08-20T21:40:23.1312725Z module tracks the running mean and variance, and when set to ``False``, 2024-08-20T21:40:23.1314227Z this module does not track such statistics, and initializes statistics 2024-08-20T21:40:23.1315674Z buffers :attr:`running_mean` and :attr:`running_var` as ``None``. 2024-08-20T21:40:23.1317106Z When these buffers are ``None``, this module always uses batch statistics. 2024-08-20T21:40:23.1318437Z in both training and eval modes. Default: ``True`` 2024-08-20T21:40:23.1319745Z process_group: synchronization of stats happen within each process group 2024-08-20T21:40:23.1321228Z individually. Default behavior is synchronization across the whole 2024-08-20T21:40:23.1322441Z world 2024-08-20T21:40:23.1322779Z 2024-08-20T21:40:23.1322950Z Shape: 2024-08-20T21:40:23.1323596Z - Input: :math:`(N, C, +)` 2024-08-20T21:40:23.1324526Z - Output: :math:`(N, C, +)` (same shape as input) 2024-08-20T21:40:23.1325196Z 2024-08-20T21:40:23.1325381Z .. note:: 2024-08-20T21:40:23.1326519Z Synchronization of batchnorm statistics occurs only while training, i.e. 2024-08-20T21:40:23.1327939Z synchronization is disabled when ``model.eval()`` is set or if 2024-08-20T21:40:23.1329040Z ``self.training`` is otherwise ``False``. 2024-08-20T21:40:23.1329655Z 2024-08-20T21:40:23.1329860Z Examples:: 2024-08-20T21:40:23.1330164Z 2024-08-20T21:40:23.1330377Z >>> # xdoctest: +SKIP 2024-08-20T21:40:23.1331066Z >>> # With Learnable Parameters 2024-08-20T21:40:23.1331846Z >>> m = nn.SyncBatchNorm(100) 2024-08-20T21:40:23.1332638Z >>> # creating process group (optional) 2024-08-20T21:40:23.1333585Z >>> # ranks is a list of int identifying rank ids. 2024-08-20T21:40:23.1334470Z >>> ranks = list(range(8)) 2024-08-20T21:40:23.1335171Z >>> r1, r2 = ranks[:4], ranks[4:] 2024-08-20T21:40:23.1336039Z >>> # Note: every rank calls into new_group for every 2024-08-20T21:40:23.1337112Z >>> # process group created, even if that rank is not 2024-08-20T21:40:23.1338032Z >>> # part of the group. 2024-08-20T21:40:23.1339026Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2024-08-20T21:40:23.1340353Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2024-08-20T21:40:23.1341434Z >>> # Without Learnable Parameters 2024-08-20T21:40:23.1342471Z >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group) 2024-08-20T21:40:23.1343573Z >>> input = torch.randn(20, 100, 35, 45, 10) 2024-08-20T21:40:23.1344356Z >>> output = m(input) 2024-08-20T21:40:23.1344801Z 2024-08-20T21:40:23.1345084Z >>> # network is nn.BatchNorm layer 2024-08-20T21:40:23.1346363Z >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group) 2024-08-20T21:40:23.1347707Z >>> # only single gpu per process is currently supported 2024-08-20T21:40:23.1348923Z >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel( 2024-08-20T21:40:23.1350046Z >>> sync_bn_network, 2024-08-20T21:40:23.1350934Z >>> device_ids=[args.local_rank], 2024-08-20T21:40:23.1352072Z >>> output_device=args.local_rank) 2024-08-20T21:40:23.1352866Z 2024-08-20T21:40:23.1353919Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.1354848Z 2024-08-20T21:40:23.1356773Z msg = Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=824. 2024-08-20T21:40:23.1359518Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.1361535Z Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers. 2024-08-20T21:40:23.1362668Z 2024-08-20T21:40:23.1362865Z Args: 2024-08-20T21:40:23.1363754Z module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers 2024-08-20T21:40:23.1365193Z process_group (optional): process group to scope synchronization, 2024-08-20T21:40:23.1366286Z default is the whole world 2024-08-20T21:40:23.1366840Z 2024-08-20T21:40:23.1367030Z Returns: 2024-08-20T21:40:23.1367950Z The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm` 2024-08-20T21:40:23.1369444Z layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer, 2024-08-20T21:40:23.1370890Z a new :class:`torch.nn.SyncBatchNorm` layer object will be returned 2024-08-20T21:40:23.1372156Z instead. 2024-08-20T21:40:23.1372521Z 2024-08-20T21:40:23.1372713Z Example:: 2024-08-20T21:40:23.1373037Z 2024-08-20T21:40:23.1373337Z >>> # Network with nn.BatchNorm layer 2024-08-20T21:40:23.1374196Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-08-20T21:40:23.1375125Z >>> module = torch.nn.Sequential( 2024-08-20T21:40:23.1375958Z >>> torch.nn.Linear(20, 100), 2024-08-20T21:40:23.1376827Z >>> torch.nn.BatchNorm1d(100), 2024-08-20T21:40:23.1377640Z >>> ).cuda() 2024-08-20T21:40:23.1378396Z >>> # creating process group (optional) 2024-08-20T21:40:23.1379389Z >>> # ranks is a list of int identifying rank ids. 2024-08-20T21:40:23.1380263Z >>> ranks = list(range(8)) 2024-08-20T21:40:23.1381229Z >>> r1, r2 = ranks[:4], ranks[4:] 2024-08-20T21:40:23.1382148Z >>> # Note: every rank calls into new_group for every 2024-08-20T21:40:23.1383191Z >>> # process group created, even if that rank is not 2024-08-20T21:40:23.1384106Z >>> # part of the group. 2024-08-20T21:40:23.1384888Z >>> # xdoctest: +SKIP("distributed") 2024-08-20T21:40:23.1386085Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2024-08-20T21:40:23.1387552Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2024-08-20T21:40:23.1389144Z >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group) 2024-08-20T21:40:23.1390213Z 2024-08-20T21:40:23.1390378Z 2024-08-20T21:40:23.1391458Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.1392379Z 2024-08-20T21:40:23.1550167Z msg = Cannot scrape callname=Unflatten in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/flatten.py line=60. 2024-08-20T21:40:23.1551490Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.1552001Z 2024-08-20T21:40:23.1552456Z Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`. 2024-08-20T21:40:23.1553071Z 2024-08-20T21:40:23.1553440Z * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can 2024-08-20T21:40:23.1554306Z be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively. 2024-08-20T21:40:23.1554796Z 2024-08-20T21:40:23.1555430Z * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be 2024-08-20T21:40:23.1556412Z a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input; a `NamedShape` 2024-08-20T21:40:23.1557176Z (tuple of `(name, size)` tuples) for `NamedTensor` input. 2024-08-20T21:40:23.1557552Z 2024-08-20T21:40:23.1557663Z Shape: 2024-08-20T21:40:23.1558223Z - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at 2024-08-20T21:40:23.1559063Z dimension :attr:`dim` and :math:`*` means any number of dimensions including none. 2024-08-20T21:40:23.1559977Z - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and 2024-08-20T21:40:23.1560618Z :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`. 2024-08-20T21:40:23.1560939Z 2024-08-20T21:40:23.1561030Z Args: 2024-08-20T21:40:23.1561359Z dim (Union[int, str]): Dimension to be unflattened 2024-08-20T21:40:23.1562172Z unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension 2024-08-20T21:40:23.1562802Z 2024-08-20T21:40:23.1562897Z Examples: 2024-08-20T21:40:23.1563177Z >>> input = torch.randn(2, 50) 2024-08-20T21:40:23.1563561Z >>> # With tuple of ints 2024-08-20T21:40:23.1563892Z >>> m = nn.Sequential( 2024-08-20T21:40:23.1564223Z >>> nn.Linear(50, 50), 2024-08-20T21:40:23.1564585Z >>> nn.Unflatten(1, (2, 5, 5)) 2024-08-20T21:40:23.1565042Z >>> ) 2024-08-20T21:40:23.1565302Z >>> output = m(input) 2024-08-20T21:40:23.1565630Z >>> output.size() 2024-08-20T21:40:23.1565929Z torch.Size([2, 2, 5, 5]) 2024-08-20T21:40:23.1566272Z >>> # With torch.Size 2024-08-20T21:40:23.1566604Z >>> m = nn.Sequential( 2024-08-20T21:40:23.1566926Z >>> nn.Linear(50, 50), 2024-08-20T21:40:23.1567347Z >>> nn.Unflatten(1, torch.Size([2, 5, 5])) 2024-08-20T21:40:23.1567762Z >>> ) 2024-08-20T21:40:23.1568006Z >>> output = m(input) 2024-08-20T21:40:23.1568329Z >>> output.size() 2024-08-20T21:40:23.1568638Z torch.Size([2, 2, 5, 5]) 2024-08-20T21:40:23.1569004Z >>> # With namedshape (tuple of tuples) 2024-08-20T21:40:23.1569583Z >>> input = torch.randn(2, 50, names=('N', 'features')) 2024-08-20T21:40:23.1570301Z >>> unflatten = nn.Unflatten('features', (('C', 2), ('H', 5), ('W', 5))) 2024-08-20T21:40:23.1570862Z >>> output = unflatten(input) 2024-08-20T21:40:23.1571237Z >>> output.size() 2024-08-20T21:40:23.1571549Z torch.Size([2, 2, 5, 5]) 2024-08-20T21:40:23.1571775Z 2024-08-20T21:40:23.1572171Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.1572670Z 2024-08-20T21:40:23.1893099Z msg = Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1696. 2024-08-20T21:40:23.1894504Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.1895269Z Creates a criterion that measures the triplet loss given input 2024-08-20T21:40:23.1895998Z tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor, 2024-08-20T21:40:23.1896695Z positive, and negative examples, respectively), and a nonnegative, 2024-08-20T21:40:23.1897550Z real-valued function ("distance function") used to compute the relationship 2024-08-20T21:40:23.1898345Z between the anchor and positive example ("positive distance") and the 2024-08-20T21:40:23.1898998Z anchor and negative example ("negative distance"). 2024-08-20T21:40:23.1899367Z 2024-08-20T21:40:23.1899722Z The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``) 2024-08-20T21:40:23.1900286Z can be described as: 2024-08-20T21:40:23.1900598Z 2024-08-20T21:40:23.1900730Z .. math:: 2024-08-20T21:40:23.1901076Z \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad 2024-08-20T21:40:23.1901728Z l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\} 2024-08-20T21:40:23.1902115Z 2024-08-20T21:40:23.1902713Z where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function 2024-08-20T21:40:23.1903623Z quantifying the closeness of two tensors, referred to as the :attr:`distance_function`; 2024-08-20T21:40:23.1904525Z and :math:`margin` is a nonnegative margin representing the minimum difference 2024-08-20T21:40:23.1905368Z between the positive and negative distances that is required for the loss to 2024-08-20T21:40:23.1906189Z be 0. The input tensors have :math:`N` elements each and can be of any shape 2024-08-20T21:40:23.1906832Z that the distance function can handle. 2024-08-20T21:40:23.1907152Z 2024-08-20T21:40:23.1907353Z If :attr:`reduction` is not ``'none'`` 2024-08-20T21:40:23.1907820Z (default ``'mean'``), then: 2024-08-20T21:40:23.1908067Z 2024-08-20T21:40:23.1908167Z .. math:: 2024-08-20T21:40:23.1908435Z \ell(x, y) = 2024-08-20T21:40:23.1908730Z \begin{cases} 2024-08-20T21:40:23.1909264Z \operatorname{mean}(L), & \text{if reduction} = \text{`mean';}\\ 2024-08-20T21:40:23.1910048Z \operatorname{sum}(L), & \text{if reduction} = \text{`sum'.} 2024-08-20T21:40:23.1910581Z \end{cases} 2024-08-20T21:40:23.1910758Z 2024-08-20T21:40:23.1911082Z See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet 2024-08-20T21:40:23.1911916Z loss for input tensors using the :math:`l_p` distance as the distance function. 2024-08-20T21:40:23.1912508Z 2024-08-20T21:40:23.1912619Z Args: 2024-08-20T21:40:23.1913194Z distance_function (Callable, optional): A nonnegative, real-valued function that 2024-08-20T21:40:23.1913988Z quantifies the closeness of two tensors. If not specified, 2024-08-20T21:40:23.1914634Z `nn.PairwiseDistance` will be used. Default: ``None`` 2024-08-20T21:40:23.1915376Z margin (float, optional): A nonnegative margin representing the minimum difference 2024-08-20T21:40:23.1916285Z between the positive and negative distances required for the loss to be 0. Larger 2024-08-20T21:40:23.1917214Z margins penalize cases where the negative examples are not distant enough from the 2024-08-20T21:40:23.1917988Z anchors, relative to the positives. Default: :math:`1`. 2024-08-20T21:40:23.1918715Z swap (bool, optional): Whether to use the distance swap described in the paper 2024-08-20T21:40:23.1919576Z `Learning shallow convolutional feature descriptors with triplet losses` by 2024-08-20T21:40:23.1920436Z V. Balntas, E. Riba et al. If True, and if the positive example is closer to the 2024-08-20T21:40:23.1921309Z negative example than the anchor is, swaps the positive example and the anchor in 2024-08-20T21:40:23.1922032Z the loss computation. Default: ``False``. 2024-08-20T21:40:23.1922747Z reduction (str, optional): Specifies the (optional) reduction to apply to the output: 2024-08-20T21:40:23.1923642Z ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied, 2024-08-20T21:40:23.1924412Z ``'mean'``: the sum of the output will be divided by the number of 2024-08-20T21:40:23.1925263Z elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'`` 2024-08-20T21:40:23.1925967Z 2024-08-20T21:40:23.1925973Z 2024-08-20T21:40:23.1926085Z Shape: 2024-08-20T21:40:23.1926664Z - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions 2024-08-20T21:40:23.1927333Z as supported by the distance function. 2024-08-20T21:40:23.1928109Z - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar 2024-08-20T21:40:23.1928727Z otherwise. 2024-08-20T21:40:23.1928923Z 2024-08-20T21:40:23.1929029Z Examples:: 2024-08-20T21:40:23.1929206Z 2024-08-20T21:40:23.1929325Z >>> # Initialize embeddings 2024-08-20T21:40:23.1929725Z >>> embedding = nn.Embedding(1000, 128) 2024-08-20T21:40:23.1930176Z >>> anchor_ids = torch.randint(0, 1000, (1,)) 2024-08-20T21:40:23.1930769Z >>> positive_ids = torch.randint(0, 1000, (1,)) 2024-08-20T21:40:23.1931271Z >>> negative_ids = torch.randint(0, 1000, (1,)) 2024-08-20T21:40:23.1931723Z >>> anchor = embedding(anchor_ids) 2024-08-20T21:40:23.1932152Z >>> positive = embedding(positive_ids) 2024-08-20T21:40:23.1932603Z >>> negative = embedding(negative_ids) 2024-08-20T21:40:23.1932993Z >>> 2024-08-20T21:40:23.1933314Z >>> # Built-in Distance Function 2024-08-20T21:40:23.1933701Z >>> triplet_loss = \ 2024-08-20T21:40:23.1934256Z >>> nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance()) 2024-08-20T21:40:23.1934971Z >>> output = triplet_loss(anchor, positive, negative) 2024-08-20T21:40:23.1935447Z >>> output.backward() 2024-08-20T21:40:23.1935746Z >>> 2024-08-20T21:40:23.1936010Z >>> # Custom Distance Function 2024-08-20T21:40:23.1936391Z >>> def l_infinity(x1, x2): 2024-08-20T21:40:23.1936900Z >>> return torch.max(torch.abs(x1 - x2), dim=1).values 2024-08-20T21:40:23.1937366Z >>> 2024-08-20T21:40:23.1937762Z >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time") 2024-08-20T21:40:23.1938282Z >>> triplet_loss = ( 2024-08-20T21:40:23.1938851Z >>> nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5)) 2024-08-20T21:40:23.1939577Z >>> output = triplet_loss(anchor, positive, negative) 2024-08-20T21:40:23.1940121Z >>> output.backward() 2024-08-20T21:40:23.1940554Z >>> 2024-08-20T21:40:23.1940844Z >>> # Custom Distance Function (Lambda) 2024-08-20T21:40:23.1941250Z >>> triplet_loss = ( 2024-08-20T21:40:23.1941635Z >>> nn.TripletMarginWithDistanceLoss( 2024-08-20T21:40:23.1942332Z >>> distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y))) 2024-08-20T21:40:23.1942965Z >>> output = triplet_loss(anchor, positive, negative) 2024-08-20T21:40:23.1943438Z >>> output.backward() 2024-08-20T21:40:23.1943651Z 2024-08-20T21:40:23.1943761Z Reference: 2024-08-20T21:40:23.1944329Z V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses: 2024-08-20T21:40:23.1945154Z http://www.bmva.org/bmvc/2016/papers/paper119/index.html 2024-08-20T21:40:23.1945643Z 2024-08-20T21:40:23.1946166Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17)) 2024-08-20T21:40:23.1946674Z 2024-08-20T21:40:23.2458291Z msg = Cannot scrape callname=MaxUnpool2d in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py line=395. 2024-08-20T21:40:23.2460647Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.2461958Z Computes a partial inverse of :class:`MaxPool2d`. 2024-08-20T21:40:23.2462684Z 2024-08-20T21:40:23.2463241Z :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost. 2024-08-20T21:40:23.2463765Z 2024-08-20T21:40:23.2464068Z :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d` 2024-08-20T21:40:23.2464945Z including the indices of the maximal values and computes a partial inverse 2024-08-20T21:40:23.2465700Z in which all non-maximal values are set to zero. 2024-08-20T21:40:23.2466051Z 2024-08-20T21:40:23.2466156Z Note: 2024-08-20T21:40:23.2466706Z This operation may behave nondeterministically when the input indices has repeat values. 2024-08-20T21:40:23.2467807Z See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information. 2024-08-20T21:40:23.2468471Z 2024-08-20T21:40:23.2468796Z .. note:: :class:`MaxPool2d` can map several input sizes to the same output 2024-08-20T21:40:23.2469486Z sizes. Hence, the inversion process can get ambiguous. 2024-08-20T21:40:23.2470142Z To accommodate this, you can provide the needed output size 2024-08-20T21:40:23.2470848Z as an additional argument :attr:`output_size` in the forward call. 2024-08-20T21:40:23.2471656Z See the Inputs and Example below. 2024-08-20T21:40:23.2471974Z 2024-08-20T21:40:23.2472069Z Args: 2024-08-20T21:40:23.2472463Z kernel_size (int or tuple): Size of the max pooling window. 2024-08-20T21:40:23.2473096Z stride (int or tuple): Stride of the max pooling window. 2024-08-20T21:40:23.2473656Z It is set to :attr:`kernel_size` by default. 2024-08-20T21:40:23.2474258Z padding (int or tuple): Padding that was added to the input 2024-08-20T21:40:23.2474667Z 2024-08-20T21:40:23.2474775Z Inputs: 2024-08-20T21:40:23.2475131Z - `input`: the input Tensor to invert 2024-08-20T21:40:23.2475790Z - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d` 2024-08-20T21:40:23.2476497Z - `output_size` (optional): the targeted output size 2024-08-20T21:40:23.2476858Z 2024-08-20T21:40:23.2476952Z Shape: 2024-08-20T21:40:23.2477444Z - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`. 2024-08-20T21:40:23.2478273Z - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where 2024-08-20T21:40:23.2478751Z 2024-08-20T21:40:23.2478867Z .. math:: 2024-08-20T21:40:23.2479557Z H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]} 2024-08-20T21:40:23.2480144Z 2024-08-20T21:40:23.2480335Z .. math:: 2024-08-20T21:40:23.2481032Z W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]} 2024-08-20T21:40:23.2481606Z 2024-08-20T21:40:23.2481832Z or as given by :attr:`output_size` in the call operator 2024-08-20T21:40:23.2482232Z 2024-08-20T21:40:23.2482334Z Example:: 2024-08-20T21:40:23.2482494Z 2024-08-20T21:40:23.2482727Z >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True) 2024-08-20T21:40:23.2483267Z >>> unpool = nn.MaxUnpool2d(2, stride=2) 2024-08-20T21:40:23.2483750Z >>> input = torch.tensor([[[[ 1., 2., 3., 4.], 2024-08-20T21:40:23.2484248Z [ 5., 6., 7., 8.], 2024-08-20T21:40:23.2484717Z [ 9., 10., 11., 12.], 2024-08-20T21:40:23.2485172Z [13., 14., 15., 16.]]]]) 2024-08-20T21:40:23.2485631Z >>> output, indices = pool(input) 2024-08-20T21:40:23.2486056Z >>> unpool(output, indices) 2024-08-20T21:40:23.2486441Z tensor([[[[ 0., 0., 0., 0.], 2024-08-20T21:40:23.2486856Z [ 0., 6., 0., 8.], 2024-08-20T21:40:23.2487263Z [ 0., 0., 0., 0.], 2024-08-20T21:40:23.2487670Z [ 0., 14., 0., 16.]]]]) 2024-08-20T21:40:23.2488251Z >>> # Now using output_size to resolve an ambiguous size for the inverse 2024-08-20T21:40:23.2488904Z >>> input = torch.tensor([[[[ 1., 2., 3., 4., 5.], 2024-08-20T21:40:23.2489408Z [ 6., 7., 8., 9., 10.], 2024-08-20T21:40:23.2489886Z [11., 12., 13., 14., 15.], 2024-08-20T21:40:23.2490367Z [16., 17., 18., 19., 20.]]]]) 2024-08-20T21:40:23.2490819Z >>> output, indices = pool(input) 2024-08-20T21:40:23.2491344Z >>> # This call will not work without specifying output_size 2024-08-20T21:40:23.2491951Z >>> unpool(output, indices, output_size=input.size()) 2024-08-20T21:40:23.2492440Z tensor([[[[ 0., 0., 0., 0., 0.], 2024-08-20T21:40:23.2492866Z [ 0., 7., 0., 9., 0.], 2024-08-20T21:40:23.2493282Z [ 0., 0., 0., 0., 0.], 2024-08-20T21:40:23.2493701Z [ 0., 17., 0., 19., 0.]]]]) 2024-08-20T21:40:23.2493990Z 2024-08-20T21:40:23.2493994Z 2024-08-20T21:40:23.2494081Z 2024-08-20T21:40:23.2494621Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.2495227Z 2024-08-20T21:40:23.2738759Z msg = Cannot scrape callname=EmbeddingBag in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py line=270. 2024-08-20T21:40:23.2741135Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.2742186Z Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings. 2024-08-20T21:40:23.2742848Z 2024-08-20T21:40:23.2743299Z For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`, 2024-08-20T21:40:23.2744044Z and with 2D inputs, this class 2024-08-20T21:40:23.2744310Z 2024-08-20T21:40:23.2744759Z * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``, 2024-08-20T21:40:23.2745790Z * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``, 2024-08-20T21:40:23.2746833Z * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``. 2024-08-20T21:40:23.2747421Z 2024-08-20T21:40:23.2747928Z However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these 2024-08-20T21:40:23.2748690Z operations. 2024-08-20T21:40:23.2748860Z 2024-08-20T21:40:23.2749270Z EmbeddingBag also supports per-sample weights as an argument to the forward 2024-08-20T21:40:23.2750203Z pass. This scales the output of the Embedding before performing a weighted 2024-08-20T21:40:23.2751032Z reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the 2024-08-20T21:40:23.2751855Z only supported ``mode`` is ``"sum"``, which computes a weighted sum according to 2024-08-20T21:40:23.2752476Z :attr:`per_sample_weights`. 2024-08-20T21:40:23.2752726Z 2024-08-20T21:40:23.2752834Z Args: 2024-08-20T21:40:23.2753216Z num_embeddings (int): size of the dictionary of embeddings 2024-08-20T21:40:23.2753835Z embedding_dim (int): the size of each embedding vector 2024-08-20T21:40:23.2754655Z max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm` 2024-08-20T21:40:23.2755473Z is renormalized to have norm :attr:`max_norm`. 2024-08-20T21:40:23.2756452Z norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``. 2024-08-20T21:40:23.2757571Z scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of 2024-08-20T21:40:23.2758518Z the words in the mini-batch. Default ``False``. 2024-08-20T21:40:23.2759174Z Note: this option is not supported when ``mode="max"``. 2024-08-20T21:40:23.2759959Z mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag. 2024-08-20T21:40:23.2760787Z ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights` 2024-08-20T21:40:23.2761563Z into consideration. ``"mean"`` computes the average of the values 2024-08-20T21:40:23.2762280Z in the bag, ``"max"`` computes the max value over each bag. 2024-08-20T21:40:23.2762854Z Default: ``"mean"`` 2024-08-20T21:40:23.2763626Z sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See 2024-08-20T21:40:23.2764595Z Notes for more details regarding sparse gradients. Note: this option is not 2024-08-20T21:40:23.2765281Z supported when ``mode="max"``. 2024-08-20T21:40:23.2766140Z include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element 2024-08-20T21:40:23.2767132Z is equivalent to the size of `indices`. This matches the CSR format. 2024-08-20T21:40:23.2768119Z padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the 2024-08-20T21:40:23.2769117Z gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated 2024-08-20T21:40:23.2769997Z during training, i.e. it remains as a fixed "pad". For a newly constructed 2024-08-20T21:40:23.2770874Z EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all 2024-08-20T21:40:23.2771765Z zeros, but can be updated to another value to be used as the padding vector. 2024-08-20T21:40:23.2772637Z Note that the embedding vector at :attr:`padding_idx` is excluded from the 2024-08-20T21:40:23.2773290Z reduction. 2024-08-20T21:40:23.2773583Z 2024-08-20T21:40:23.2773685Z Attributes: 2024-08-20T21:40:23.2774298Z weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)` 2024-08-20T21:40:23.2775090Z initialized from :math:`\mathcal{N}(0, 1)`. 2024-08-20T21:40:23.2775453Z 2024-08-20T21:40:23.2775569Z Examples:: 2024-08-20T21:40:23.2775745Z 2024-08-20T21:40:23.2775979Z >>> # an EmbeddingBag module containing 10 tensors of size 3 2024-08-20T21:40:23.2776723Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum') 2024-08-20T21:40:23.2777259Z >>> # a batch of 2 samples of 4 indices each 2024-08-20T21:40:23.2777860Z >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long) 2024-08-20T21:40:23.2778479Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2024-08-20T21:40:23.2779094Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-08-20T21:40:23.2779573Z >>> embedding_sum(input, offsets) 2024-08-20T21:40:23.2780061Z tensor([[-0.8861, -5.4350, -0.0523], 2024-08-20T21:40:23.2780641Z [ 1.1306, -2.5798, -1.0044]]) 2024-08-20T21:40:23.2780928Z 2024-08-20T21:40:23.2781061Z >>> # Example with padding_idx 2024-08-20T21:40:23.2781709Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2) 2024-08-20T21:40:23.2782424Z >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long) 2024-08-20T21:40:23.2783036Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2024-08-20T21:40:23.2783532Z >>> embedding_sum(input, offsets) 2024-08-20T21:40:23.2783962Z tensor([[ 0.0000, 0.0000, 0.0000], 2024-08-20T21:40:23.2784440Z [-0.7082, 3.2145, -2.6251]]) 2024-08-20T21:40:23.2784743Z 2024-08-20T21:40:23.2784979Z >>> # An EmbeddingBag can be loaded from an Embedding like so 2024-08-20T21:40:23.2785580Z >>> embedding = nn.Embedding(10, 3, padding_idx=2) 2024-08-20T21:40:23.2786130Z >>> embedding_sum = nn.EmbeddingBag.from_pretrained( 2024-08-20T21:40:23.2786623Z embedding.weight, 2024-08-20T21:40:23.2787045Z padding_idx=embedding.padding_idx, 2024-08-20T21:40:23.2787524Z mode='sum') 2024-08-20T21:40:23.2787824Z 2024-08-20T21:40:23.2788358Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.2788848Z 2024-08-20T21:40:23.3083367Z msg = Cannot scrape callname=DistributedDataParallel.join in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=1748. 2024-08-20T21:40:23.3085984Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.3086936Z 2024-08-20T21:40:23.3087300Z Context manager for training with uneven inputs across processes in DDP. 2024-08-20T21:40:23.3087791Z 2024-08-20T21:40:23.3088158Z This context manager will keep track of already-joined DDP processes, 2024-08-20T21:40:23.3088908Z and "shadow" the forward and backward passes by inserting collective 2024-08-20T21:40:23.3089904Z communication operations to match with the ones created by non-joined 2024-08-20T21:40:23.3090665Z DDP processes. This will ensure each collective call has a corresponding 2024-08-20T21:40:23.3091512Z call by already-joined DDP processes, preventing hangs or errors that 2024-08-20T21:40:23.3092268Z would otherwise happen when training with uneven inputs across 2024-08-20T21:40:23.3093016Z processes. Alternatively, if the flag ``throw_on_early_termination`` is 2024-08-20T21:40:23.3093782Z specified to be ``True``, all trainers will throw an error once one rank 2024-08-20T21:40:23.3094513Z runs out of inputs, allowing these errors to be caught and handled 2024-08-20T21:40:23.3095069Z according to application logic. 2024-08-20T21:40:23.3095345Z 2024-08-20T21:40:23.3095642Z Once all DDP processes have joined, the context manager will broadcast 2024-08-20T21:40:23.3096412Z the model corresponding to the last joined process to all processes to 2024-08-20T21:40:23.3097051Z ensure the model is the same across all processes 2024-08-20T21:40:23.3097533Z (which is guaranteed by DDP). 2024-08-20T21:40:23.3097787Z 2024-08-20T21:40:23.3098066Z To use this to enable training with uneven inputs across processes, 2024-08-20T21:40:23.3098809Z simply wrap this context manager around your training loop. No further 2024-08-20T21:40:23.3099472Z modifications to the model or data loading is required. 2024-08-20T21:40:23.3099982Z 2024-08-20T21:40:23.3100096Z .. warning:: 2024-08-20T21:40:23.3100665Z If the model or training loop this context manager is wrapped around 2024-08-20T21:40:23.3101357Z has additional distributed collective operations, such as 2024-08-20T21:40:23.3102081Z ``SyncBatchNorm`` in the model's forward pass, then the flag 2024-08-20T21:40:23.3102762Z ``throw_on_early_termination`` must be enabled. This is because this 2024-08-20T21:40:23.3103531Z context manager is not aware of non-DDP collective communication. 2024-08-20T21:40:23.3104202Z This flag will cause all ranks to throw when any one rank 2024-08-20T21:40:23.3104872Z exhausts inputs, allowing these errors to be caught and recovered 2024-08-20T21:40:23.3105412Z from across all ranks. 2024-08-20T21:40:23.3105644Z 2024-08-20T21:40:23.3105738Z Args: 2024-08-20T21:40:23.3106117Z divide_by_initial_world_size (bool): If ``True``, will divide 2024-08-20T21:40:23.3106796Z gradients by the initial ``world_size`` DDP training was launched 2024-08-20T21:40:23.3107458Z with. If ``False``, will compute the effective world size 2024-08-20T21:40:23.3108102Z (number of ranks that have not depleted their inputs yet) and 2024-08-20T21:40:23.3108704Z divide gradients by that during allreduce. Set 2024-08-20T21:40:23.3109277Z ``divide_by_initial_world_size=True`` to ensure every input 2024-08-20T21:40:23.3109951Z sample including the uneven inputs have equal weight in terms of 2024-08-20T21:40:23.3110620Z how much they contribute to the global gradient. This is 2024-08-20T21:40:23.3111406Z achieved by always dividing the gradient by the initial 2024-08-20T21:40:23.3112238Z ``world_size`` even when we encounter uneven inputs. If you set 2024-08-20T21:40:23.3113245Z this to ``False``, we divide the gradient by the remaining 2024-08-20T21:40:23.3114319Z number of nodes. This ensures parity with training on a smaller 2024-08-20T21:40:23.3115375Z ``world_size`` although it also means the uneven inputs would 2024-08-20T21:40:23.3116046Z contribute more towards the global gradient. Typically, you 2024-08-20T21:40:23.3117157Z would want to set this to ``True`` for cases where the last few 2024-08-20T21:40:23.3118443Z inputs of your training job are uneven. In extreme cases, where 2024-08-20T21:40:23.3119731Z there is a large discrepancy in the number of inputs, setting 2024-08-20T21:40:23.3120409Z this to ``False`` might provide better results. 2024-08-20T21:40:23.3121033Z enable (bool): Whether to enable uneven input detection or not. Pass 2024-08-20T21:40:23.3121826Z in ``enable=False`` to disable in cases where you know that 2024-08-20T21:40:23.3122486Z inputs are even across participating processes. Default is 2024-08-20T21:40:23.3122989Z ``True``. 2024-08-20T21:40:23.3123408Z throw_on_early_termination (bool): Whether to throw an error 2024-08-20T21:40:23.3124061Z or continue training when at least one rank has exhausted 2024-08-20T21:40:23.3124706Z inputs. If ``True``, will throw upon the first rank reaching end 2024-08-20T21:40:23.3125369Z of data. If ``False``, will continue training with a smaller 2024-08-20T21:40:23.3126237Z effective world size until all ranks are joined. Note that if 2024-08-20T21:40:23.3126804Z this flag is specified, then the flag 2024-08-20T21:40:23.3127349Z ``divide_by_initial_world_size`` would be ignored. Default 2024-08-20T21:40:23.3127848Z is ``False``. 2024-08-20T21:40:23.3128041Z 2024-08-20T21:40:23.3128046Z 2024-08-20T21:40:23.3128166Z Example:: 2024-08-20T21:40:23.3128312Z 2024-08-20T21:40:23.3128454Z >>> # xdoctest: +SKIP("Distributed") 2024-08-20T21:40:23.3128853Z >>> import torch 2024-08-20T21:40:23.3129190Z >>> import torch.distributed as dist 2024-08-20T21:40:23.3129576Z >>> import os 2024-08-20T21:40:23.3129907Z >>> import torch.multiprocessing as mp 2024-08-20T21:40:23.3130461Z >>> import torch.nn as nn 2024-08-20T21:40:23.3130812Z >>> # On each spawned worker 2024-08-20T21:40:23.3131185Z >>> def worker(rank): 2024-08-20T21:40:23.3131632Z >>> dist.init_process_group("nccl", rank=rank, world_size=2) 2024-08-20T21:40:23.3132149Z >>> torch.cuda.set_device(rank) 2024-08-20T21:40:23.3132611Z >>> model = nn.Linear(1, 1, bias=False).to(rank) 2024-08-20T21:40:23.3133185Z >>> model = torch.nn.parallel.DistributedDataParallel( 2024-08-20T21:40:23.3133757Z >>> model, device_ids=[rank], output_device=rank 2024-08-20T21:40:23.3134203Z >>> ) 2024-08-20T21:40:23.3134542Z >>> # Rank 1 gets one more input than rank 0. 2024-08-20T21:40:23.3135116Z >>> inputs = [torch.tensor([1]).float() for _ in range(10 + rank)] 2024-08-20T21:40:23.3135657Z >>> with model.join(): 2024-08-20T21:40:23.3136012Z >>> for _ in range(5): 2024-08-20T21:40:23.3136377Z >>> for inp in inputs: 2024-08-20T21:40:23.3136805Z >>> loss = model(inp).sum() 2024-08-20T21:40:23.3137238Z >>> loss.backward() 2024-08-20T21:40:23.3137764Z >>> # Without the join() API, the below synchronization will hang 2024-08-20T21:40:23.3138500Z >>> # blocking for rank 1's allreduce to complete. 2024-08-20T21:40:23.3139021Z >>> torch.cuda.synchronize(device=rank) 2024-08-20T21:40:23.3139339Z 2024-08-20T21:40:23.3139739Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.3140246Z 2024-08-20T21:40:23.3141489Z msg = Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=2039. 2024-08-20T21:40:23.3143003Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.3143525Z 2024-08-20T21:40:23.3143942Z Register an optimizer in DDP to optimize parameter immediately after its gradient reduction. 2024-08-20T21:40:23.3144528Z 2024-08-20T21:40:23.3144809Z Registers an optimizer with DDP such that the optimization for a 2024-08-20T21:40:23.3145564Z parameter will run immediately when that parameter's gradient is 2024-08-20T21:40:23.3146256Z finished with reduction, instead of waiting for all parameters' 2024-08-20T21:40:23.3146982Z gradients to finish reduction. This can result in a training speedup 2024-08-20T21:40:23.3147717Z depending on your workload since the optimizer can run while gradient 2024-08-20T21:40:23.3148482Z reduction for other parameters are still ongoing. In addition, this has 2024-08-20T21:40:23.3149352Z the potential to reduce peak memory consumption during training, as it 2024-08-20T21:40:23.3150168Z only needs to load the per-parameter optimizer states of a single 2024-08-20T21:40:23.3150949Z parameter at a time, instead of loading all per-parameter optimizer 2024-08-20T21:40:23.3151506Z states at once. 2024-08-20T21:40:23.3151683Z 2024-08-20T21:40:23.3151786Z Args: 2024-08-20T21:40:23.3152242Z optim (Type): a ``torch.optim.Optimizer`` class to be registered 2024-08-20T21:40:23.3152790Z as a fused optimizer. 2024-08-20T21:40:23.3153225Z *args (Sequence[Any]): Arguments to forward to `optim`. 2024-08-20T21:40:23.3153865Z optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters 2024-08-20T21:40:23.3154607Z to optimize, similar to `params` argument of traditional `torch.optim` 2024-08-20T21:40:23.3155347Z Optimizers. If this is omitted, all DDP model parameters will be 2024-08-20T21:40:23.3155869Z optimized. 2024-08-20T21:40:23.3156312Z **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`. 2024-08-20T21:40:23.3156745Z 2024-08-20T21:40:23.3156861Z .. warning :: 2024-08-20T21:40:23.3157289Z _register_fused_optim should only be called once on a DDP instance, 2024-08-20T21:40:23.3158011Z and registering multiple fused optimizers for the same DDP model 2024-08-20T21:40:23.3158668Z is not currently supported. Please ping 2024-08-20T21:40:23.3159308Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2024-08-20T21:40:23.3159887Z for your use case. 2024-08-20T21:40:23.3160101Z 2024-08-20T21:40:23.3160202Z .. warning :: 2024-08-20T21:40:23.3160614Z _register_fused_optim and register_comm_hook currently do not 2024-08-20T21:40:23.3161292Z compose together, meaning that custom DDP communication hooks are 2024-08-20T21:40:23.3161949Z not supported with overlapped optimizers. Please ping 2024-08-20T21:40:23.3162628Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2024-08-20T21:40:23.3163190Z for your use case. 2024-08-20T21:40:23.3163401Z 2024-08-20T21:40:23.3163500Z .. warning :: 2024-08-20T21:40:23.3163953Z Gradient accumulation and DDP `no_sync` are currently not supported 2024-08-20T21:40:23.3164547Z with overlapped optimizer. Please ping 2024-08-20T21:40:23.3165152Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2024-08-20T21:40:23.3165265Z for your use case. 2024-08-20T21:40:23.3165270Z 2024-08-20T21:40:23.3165380Z Example:: 2024-08-20T21:40:23.3165386Z 2024-08-20T21:40:23.3165552Z >>> # xdoctest: +SKIP("No rendezvous handler") 2024-08-20T21:40:23.3166029Z >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...') 2024-08-20T21:40:23.3166314Z >>> net = torch.nn.parallel.DistributedDataParallel(model, pg) 2024-08-20T21:40:23.3166432Z >>> lr = 1e-2 2024-08-20T21:40:23.3166553Z >>> betas = (0.9, 0.99) 2024-08-20T21:40:23.3166666Z >>> eps = 1e-6 2024-08-20T21:40:23.3166967Z >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps) 2024-08-20T21:40:23.3167123Z >>> # Example with subset of parameters 2024-08-20T21:40:23.3167292Z >>> params_to_opt = [list(net.parameters())[0]] 2024-08-20T21:40:23.3167411Z >>> net._register_fused_optim( 2024-08-20T21:40:23.3167736Z ... torch.optim.Adam, lr, optim_params=params_to_opt, betas=betas, eps=eps 2024-08-20T21:40:23.3167833Z ... ) 2024-08-20T21:40:23.3167838Z 2024-08-20T21:40:23.3168238Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.3168244Z 2024-08-20T21:40:23.3365451Z msg = Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=6. 2024-08-20T21:40:23.3366241Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.3366819Z Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``. 2024-08-20T21:40:23.3367017Z 2024-08-20T21:40:23.3367696Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2024-08-20T21:40:23.3368414Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2024-08-20T21:40:23.3368839Z This function is used to facilitate the computation to adopt NHWC kernels, which 2024-08-20T21:40:23.3369268Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2024-08-20T21:40:23.3369274Z 2024-08-20T21:40:23.3369390Z .. note:: 2024-08-20T21:40:23.3369704Z Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive 2024-08-20T21:40:23.3369996Z than the utility function ``convert_conv2d_weight_memory_format``. Any 2024-08-20T21:40:23.3370309Z layer with 4d weight will be affected by ``model.to``, which does not 2024-08-20T21:40:23.3370600Z necessarily benefit from conversion to specified ``memory_format``. 2024-08-20T21:40:23.3370929Z One place we are confident in is that NHWC(channels_last) conversion for 2024-08-20T21:40:23.3371221Z convolution in cuDNN, as it is beneficial to run convolution in NHWC, 2024-08-20T21:40:23.3371612Z even in cases where we have to apply permutation to input tensors. 2024-08-20T21:40:23.3371621Z 2024-08-20T21:40:23.3372246Z Hence our strategy here is to convert only the weight of convolution to 2024-08-20T21:40:23.3372431Z channels_last. This ensures that; 2024-08-20T21:40:23.3372899Z 1. Fast convolution kernels will be used, the benefit of which could 2024-08-20T21:40:23.3373424Z outweigh overhead of permutation (if input is not in the same format). 2024-08-20T21:40:23.3373949Z 2. No unnecessary permutations are applied on layers that do not benefit 2024-08-20T21:40:23.3374217Z from memory_format conversion. 2024-08-20T21:40:23.3374229Z 2024-08-20T21:40:23.3374827Z The optimal case is that, layers between convolution layers are channels 2024-08-20T21:40:23.3375411Z last compatible. Input tensor would be permuted to channels last when it 2024-08-20T21:40:23.3375978Z encounters the first convolution layer and stay in that memory format. 2024-08-20T21:40:23.3376568Z Hence following convolutions will not need to permute its input tensor. 2024-08-20T21:40:23.3376590Z 2024-08-20T21:40:23.3377000Z In case where a channels last incompatible layer is between convolution 2024-08-20T21:40:23.3377293Z layers, we need to permute the input tensor back to contiguous format 2024-08-20T21:40:23.3377602Z for that layer. The input tensor will go through the remaining layers in 2024-08-20T21:40:23.3377913Z contiguous format and be permuted to channels last when it encounters 2024-08-20T21:40:23.3378295Z another convolution layer. There's no point in propagating that 2024-08-20T21:40:23.3378589Z permutation to an earlier layer, as most layers are quite agnostic to 2024-08-20T21:40:23.3378716Z ``memory_format``. 2024-08-20T21:40:23.3378722Z 2024-08-20T21:40:23.3379035Z This claim might change when PyTorch supports fusion of permutation, as 2024-08-20T21:40:23.3379340Z there might have been a better spot to fuse the permutation other than 2024-08-20T21:40:23.3379495Z immediately before a convolution. 2024-08-20T21:40:23.3379505Z 2024-08-20T21:40:23.3379598Z Args: 2024-08-20T21:40:23.3379904Z module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container 2024-08-20T21:40:23.3380023Z ``nn.Module`` 2024-08-20T21:40:23.3380210Z memory_format: user specified ``memory_format``, 2024-08-20T21:40:23.3380547Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2024-08-20T21:40:23.3380553Z 2024-08-20T21:40:23.3380650Z Returns: 2024-08-20T21:40:23.3380922Z The original module with updated ``nn.Conv2d`` 2024-08-20T21:40:23.3380928Z 2024-08-20T21:40:23.3381037Z Example: 2024-08-20T21:40:23.3381307Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-08-20T21:40:23.3381525Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2024-08-20T21:40:23.3381847Z >>> input = torch.randint(1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda") 2024-08-20T21:40:23.3381971Z >>> model = nn.Sequential( 2024-08-20T21:40:23.3382136Z >>> nn.Conv2d(8, 4, 3)).cuda().half() 2024-08-20T21:40:23.3382258Z >>> # This is identical to: 2024-08-20T21:40:23.3382576Z >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last) 2024-08-20T21:40:23.3382941Z >>> model = nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last) 2024-08-20T21:40:23.3383055Z >>> out = model(input) 2024-08-20T21:40:23.3383143Z 2024-08-20T21:40:23.3383566Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.3383572Z 2024-08-20T21:40:23.3384593Z msg = Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=81. 2024-08-20T21:40:23.3385014Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.3385285Z Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format`` 2024-08-20T21:40:23.3385727Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2024-08-20T21:40:23.3386124Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2024-08-20T21:40:23.3386475Z This function is used to facilitate the computation to adopt NHWC kernels, which 2024-08-20T21:40:23.3386907Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2024-08-20T21:40:23.3386912Z 2024-08-20T21:40:23.3387016Z .. note:: 2024-08-20T21:40:23.3387344Z Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive 2024-08-20T21:40:23.3387658Z than the utility function ``convert_conv3d_weight_memory_format``. Any 2024-08-20T21:40:23.3387951Z layer with 4d weight will be affected by ``model.to``, which does not 2024-08-20T21:40:23.3388243Z necessarily benefit from conversion to specified ``memory_format``. 2024-08-20T21:40:23.3388587Z One place we are confident in is that NDHWC(channels_last_3d) conversion for 2024-08-20T21:40:23.3388893Z convolution in cuDNN, as it is beneficial to run convolution in NDHWC, 2024-08-20T21:40:23.3389185Z even in cases where we have to apply permutation to input tensors. 2024-08-20T21:40:23.3389191Z 2024-08-20T21:40:23.3389502Z Hence our strategy here is to convert only the weight of convolution to 2024-08-20T21:40:23.3389660Z channels_last_3d. This ensures that; 2024-08-20T21:40:23.3389948Z 1. Fast convolution kernels will be used, the benefit of which could 2024-08-20T21:40:23.3390265Z outweigh overhead of permutation (if input is not in the same format). 2024-08-20T21:40:23.3390573Z 2. No unnecessary permutations are applied on layers that do not benefit 2024-08-20T21:40:23.3390714Z from memory_format conversion. 2024-08-20T21:40:23.3390719Z 2024-08-20T21:40:23.3391027Z The optimal case is that, layers between convolution layers are channels 2024-08-20T21:40:23.3391343Z last compatible. Input tensor would be permuted to channels last when it 2024-08-20T21:40:23.3391655Z encounters the first convolution layer and stay in that memory format. 2024-08-20T21:40:23.3391963Z Hence following convolutions will not need to permute its input tensor. 2024-08-20T21:40:23.3391968Z 2024-08-20T21:40:23.3392274Z In case where a channels last incompatible layer is between convolution 2024-08-20T21:40:23.3392578Z layers, we need to permute the input tensor back to contiguous format 2024-08-20T21:40:23.3392937Z for that layer. The input tensor will go through the remaining layers in 2024-08-20T21:40:23.3393252Z contiguous format and be permuted to channels last when it encounters 2024-08-20T21:40:23.3393602Z another convolution layer. There's no point in propagating that 2024-08-20T21:40:23.3393898Z permutation to an earlier layer, as most layers are quite agnostic to 2024-08-20T21:40:23.3394027Z ``memory_format``. 2024-08-20T21:40:23.3394033Z 2024-08-20T21:40:23.3394344Z This claim might change when PyTorch supports fusion of permutation, as 2024-08-20T21:40:23.3394644Z there might have been a better spot to fuse the permutation other than 2024-08-20T21:40:23.3394796Z immediately before a convolution. 2024-08-20T21:40:23.3394802Z 2024-08-20T21:40:23.3394892Z Args: 2024-08-20T21:40:23.3395194Z module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container 2024-08-20T21:40:23.3395313Z ``nn.Module`` 2024-08-20T21:40:23.3395503Z memory_format: user specified ``memory_format``, 2024-08-20T21:40:23.3395761Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2024-08-20T21:40:23.3395766Z 2024-08-20T21:40:23.3395860Z Returns: 2024-08-20T21:40:23.3396041Z The original module with updated ``nn.Conv3d`` 2024-08-20T21:40:23.3396046Z 2024-08-20T21:40:23.3396151Z Example: 2024-08-20T21:40:23.3396388Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-08-20T21:40:23.3396586Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2024-08-20T21:40:23.3396933Z >>> input = torch.randint(1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda") 2024-08-20T21:40:23.3397052Z >>> model = nn.Sequential( 2024-08-20T21:40:23.3397210Z >>> nn.Conv3d(8, 4, 3)).cuda().half() 2024-08-20T21:40:23.3397329Z >>> # This is identical to: 2024-08-20T21:40:23.3397656Z >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d) 2024-08-20T21:40:23.3398035Z >>> model = nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d) 2024-08-20T21:40:23.3398146Z >>> out = model(input) 2024-08-20T21:40:23.3398235Z 2024-08-20T21:40:23.3398649Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.3398655Z 2024-08-20T21:40:23.3588877Z msg = Cannot scrape callname=random_structured in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py line=936. 2024-08-20T21:40:23.3589465Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.3589905Z Prune tensor by removing random channels along the specified dimension. 2024-08-20T21:40:23.3589943Z 2024-08-20T21:40:23.3590480Z Prunes tensor corresponding to parameter called ``name`` in ``module`` 2024-08-20T21:40:23.3591041Z by removing the specified ``amount`` of (currently unpruned) channels 2024-08-20T21:40:23.3591236Z along the specified ``dim`` selected at random. 2024-08-20T21:40:23.3591512Z Modifies module in place (and also return the modified module) 2024-08-20T21:40:23.3591605Z by: 2024-08-20T21:40:23.3591611Z 2024-08-20T21:40:23.3591985Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-08-20T21:40:23.3592288Z binary mask applied to the parameter ``name`` by the pruning method. 2024-08-20T21:40:23.3592576Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-08-20T21:40:23.3592960Z original (unpruned) parameter is stored in a new parameter named 2024-08-20T21:40:23.3593173Z ``name+'_orig'``. 2024-08-20T21:40:23.3593182Z 2024-08-20T21:40:23.3593323Z Args: 2024-08-20T21:40:23.3593629Z module (nn.Module): module containing the tensor to prune 2024-08-20T21:40:23.3594028Z name (str): parameter name within ``module`` on which pruning 2024-08-20T21:40:23.3594180Z will act. 2024-08-20T21:40:23.3594559Z amount (int or float): quantity of parameters to prune. 2024-08-20T21:40:23.3595195Z If ``float``, should be between 0.0 and 1.0 and represent the 2024-08-20T21:40:23.3595662Z fraction of parameters to prune. If ``int``, it represents the 2024-08-20T21:40:23.3595989Z absolute number of parameters to prune. 2024-08-20T21:40:23.3596462Z dim (int): index of the dim along which we define channels to prune. 2024-08-20T21:40:23.3596476Z 2024-08-20T21:40:23.3596571Z Returns: 2024-08-20T21:40:23.3596883Z module (nn.Module): modified (i.e. pruned) version of the input module 2024-08-20T21:40:23.3596888Z 2024-08-20T21:40:23.3596984Z Examples: 2024-08-20T21:40:23.3597150Z >>> # xdoctest: +SKIP 2024-08-20T21:40:23.3597308Z >>> m = prune.random_structured( 2024-08-20T21:40:23.3597584Z ... nn.Linear(5, 3), 'weight', amount=3, dim=1 2024-08-20T21:40:23.3597693Z ... ) 2024-08-20T21:40:23.3597989Z >>> columns_pruned = int(sum(torch.sum(m.weight, dim=0) == 0)) 2024-08-20T21:40:23.3598113Z >>> print(columns_pruned) 2024-08-20T21:40:23.3598214Z 3 2024-08-20T21:40:23.3598346Z 2024-08-20T21:40:23.3598806Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.3598812Z 2024-08-20T21:40:23.3599732Z msg = Cannot scrape callname=ln_structured in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py line=977. 2024-08-20T21:40:23.3600307Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.3601092Z Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension. 2024-08-20T21:40:23.3601099Z 2024-08-20T21:40:23.3601403Z Prunes tensor corresponding to parameter called ``name`` in ``module`` 2024-08-20T21:40:23.3601793Z by removing the specified ``amount`` of (currently unpruned) channels 2024-08-20T21:40:23.3602291Z along the specified ``dim`` with the lowest L\ ``n``-norm. 2024-08-20T21:40:23.3602729Z Modifies module in place (and also return the modified module) 2024-08-20T21:40:23.3602894Z by: 2024-08-20T21:40:23.3602902Z 2024-08-20T21:40:23.3603553Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-08-20T21:40:23.3604079Z binary mask applied to the parameter ``name`` by the pruning method. 2024-08-20T21:40:23.3604623Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-08-20T21:40:23.3605111Z original (unpruned) parameter is stored in a new parameter named 2024-08-20T21:40:23.3605370Z ``name+'_orig'``. 2024-08-20T21:40:23.3605381Z 2024-08-20T21:40:23.3605552Z Args: 2024-08-20T21:40:23.3605985Z module (nn.Module): module containing the tensor to prune 2024-08-20T21:40:23.3606330Z name (str): parameter name within ``module`` on which pruning 2024-08-20T21:40:23.3606446Z will act. 2024-08-20T21:40:23.3606668Z amount (int or float): quantity of parameters to prune. 2024-08-20T21:40:23.3606927Z If ``float``, should be between 0.0 and 1.0 and represent the 2024-08-20T21:40:23.3607278Z fraction of parameters to prune. If ``int``, it represents the 2024-08-20T21:40:23.3607561Z absolute number of parameters to prune. 2024-08-20T21:40:23.3608213Z n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid 2024-08-20T21:40:23.3608472Z entries for argument ``p`` in :func:`torch.norm`. 2024-08-20T21:40:23.3608933Z dim (int): index of the dim along which we define channels to prune. 2024-08-20T21:40:23.3609478Z importance_scores (torch.Tensor): tensor of importance scores (of same 2024-08-20T21:40:23.3609951Z shape as module parameter) used to compute mask for pruning. 2024-08-20T21:40:23.3610521Z The values in this tensor indicate the importance of the corresponding 2024-08-20T21:40:23.3610834Z elements in the parameter being pruned. 2024-08-20T21:40:23.3611435Z If unspecified or None, the module parameter will be used in its place. 2024-08-20T21:40:23.3611444Z 2024-08-20T21:40:23.3611552Z Returns: 2024-08-20T21:40:23.3611850Z module (nn.Module): modified (i.e. pruned) version of the input module 2024-08-20T21:40:23.3611856Z 2024-08-20T21:40:23.3611952Z Examples: 2024-08-20T21:40:23.3612116Z >>> from torch.nn.utils import prune 2024-08-20T21:40:23.3612243Z >>> m = prune.ln_structured( 2024-08-20T21:40:23.3612591Z ... nn.Conv2d(5, 3, 2), 'weight', amount=0.3, dim=1, n=float('-inf') 2024-08-20T21:40:23.3612697Z ... ) 2024-08-20T21:40:23.3612782Z 2024-08-20T21:40:23.3613175Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.3613196Z 2024-08-20T21:40:23.3614098Z msg = Cannot scrape callname=global_unstructured in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1024. 2024-08-20T21:40:23.3614527Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.3614533Z 2024-08-20T21:40:23.3615097Z Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``. 2024-08-20T21:40:23.3615103Z 2024-08-20T21:40:23.3615224Z Modifies modules in place by: 2024-08-20T21:40:23.3615229Z 2024-08-20T21:40:23.3615653Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-08-20T21:40:23.3615942Z binary mask applied to the parameter ``name`` by the pruning method. 2024-08-20T21:40:23.3616232Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-08-20T21:40:23.3616498Z original (unpruned) parameter is stored in a new parameter named 2024-08-20T21:40:23.3616631Z ``name+'_orig'``. 2024-08-20T21:40:23.3616637Z 2024-08-20T21:40:23.3616736Z Args: 2024-08-20T21:40:23.3616986Z parameters (Iterable of (module, name) tuples): parameters of 2024-08-20T21:40:23.3617253Z the model to prune in a global fashion, i.e. by aggregating all 2024-08-20T21:40:23.3617537Z weights prior to deciding which ones to prune. module must be of 2024-08-20T21:40:23.3617730Z type :class:`nn.Module`, and name must be a string. 2024-08-20T21:40:23.3618015Z pruning_method (function): a valid pruning function from this module, 2024-08-20T21:40:23.3618266Z or a custom one implemented by the user that satisfies the 2024-08-20T21:40:23.3618632Z implementation guidelines and has ``PRUNING_TYPE='unstructured'``. 2024-08-20T21:40:23.3618938Z importance_scores (dict): a dictionary mapping (module, name) tuples to 2024-08-20T21:40:23.3619292Z the corresponding parameter's importance scores tensor. The tensor 2024-08-20T21:40:23.3619585Z should be the same shape as the parameter, and is used for computing 2024-08-20T21:40:23.3619704Z mask for pruning. 2024-08-20T21:40:23.3619985Z If unspecified or None, the parameter will be used in place of its 2024-08-20T21:40:23.3620100Z importance scores. 2024-08-20T21:40:23.3620266Z kwargs: other keyword arguments such as: 2024-08-20T21:40:23.3620625Z amount (int or float): quantity of parameters to prune across the 2024-08-20T21:40:23.3620744Z specified parameters. 2024-08-20T21:40:23.3620990Z If ``float``, should be between 0.0 and 1.0 and represent the 2024-08-20T21:40:23.3621255Z fraction of parameters to prune. If ``int``, it represents the 2024-08-20T21:40:23.3621430Z absolute number of parameters to prune. 2024-08-20T21:40:23.3621436Z 2024-08-20T21:40:23.3621525Z Raises: 2024-08-20T21:40:23.3621777Z TypeError: if ``PRUNING_TYPE != 'unstructured'`` 2024-08-20T21:40:23.3621783Z 2024-08-20T21:40:23.3621880Z Note: 2024-08-20T21:40:23.3622228Z Since global structured pruning doesn't make much sense unless the 2024-08-20T21:40:23.3622498Z norm is normalized by the size of the parameter, we now limit the 2024-08-20T21:40:23.3622701Z scope of global pruning to unstructured methods. 2024-08-20T21:40:23.3622798Z 2024-08-20T21:40:23.3622897Z Examples: 2024-08-20T21:40:23.3623037Z >>> from torch.nn.utils import prune 2024-08-20T21:40:23.3623193Z >>> from collections import OrderedDict 2024-08-20T21:40:23.3623332Z >>> net = nn.Sequential(OrderedDict([ 2024-08-20T21:40:23.3623511Z ... ('first', nn.Linear(10, 4)), 2024-08-20T21:40:23.3623703Z ... ('second', nn.Linear(4, 1)), 2024-08-20T21:40:23.3623793Z ... ])) 2024-08-20T21:40:23.3623925Z >>> parameters_to_prune = ( 2024-08-20T21:40:23.3624084Z ... (net.first, 'weight'), 2024-08-20T21:40:23.3624244Z ... (net.second, 'weight'), 2024-08-20T21:40:23.3624346Z ... ) 2024-08-20T21:40:23.3624469Z >>> prune.global_unstructured( 2024-08-20T21:40:23.3624585Z ... parameters_to_prune, 2024-08-20T21:40:23.3624763Z ... pruning_method=prune.L1Unstructured, 2024-08-20T21:40:23.3624861Z ... amount=10, 2024-08-20T21:40:23.3624950Z ... ) 2024-08-20T21:40:23.3625261Z >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0)) 2024-08-20T21:40:23.3625357Z tensor(10) 2024-08-20T21:40:23.3625363Z 2024-08-20T21:40:23.3625368Z 2024-08-20T21:40:23.3625961Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.3625985Z 2024-08-20T21:40:23.3626831Z msg = Cannot scrape callname=custom_from_mask in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1143. 2024-08-20T21:40:23.3627339Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.3627984Z Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``. 2024-08-20T21:40:23.3627990Z 2024-08-20T21:40:23.3628268Z Modifies module in place (and also return the modified module) by: 2024-08-20T21:40:23.3628273Z 2024-08-20T21:40:23.3628631Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-08-20T21:40:23.3628938Z binary mask applied to the parameter ``name`` by the pruning method. 2024-08-20T21:40:23.3629223Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-08-20T21:40:23.3629503Z original (unpruned) parameter is stored in a new parameter named 2024-08-20T21:40:23.3629643Z ``name+'_orig'``. 2024-08-20T21:40:23.3629653Z 2024-08-20T21:40:23.3629743Z Args: 2024-08-20T21:40:23.3629990Z module (nn.Module): module containing the tensor to prune 2024-08-20T21:40:23.3630233Z name (str): parameter name within ``module`` on which pruning 2024-08-20T21:40:23.3630332Z will act. 2024-08-20T21:40:23.3630577Z mask (Tensor): binary mask to be applied to the parameter. 2024-08-20T21:40:23.3630582Z 2024-08-20T21:40:23.3630675Z Returns: 2024-08-20T21:40:23.3630970Z module (nn.Module): modified (i.e. pruned) version of the input module 2024-08-20T21:40:23.3630986Z 2024-08-20T21:40:23.3631082Z Examples: 2024-08-20T21:40:23.3631237Z >>> from torch.nn.utils import prune 2024-08-20T21:40:23.3631377Z >>> m = prune.custom_from_mask( 2024-08-20T21:40:23.3631690Z ... nn.Linear(5, 3), name='bias', mask=torch.tensor([0, 1, 0]) 2024-08-20T21:40:23.3631781Z ... ) 2024-08-20T21:40:23.3631905Z >>> print(m.bias_mask) 2024-08-20T21:40:23.3632015Z tensor([0., 1., 0.]) 2024-08-20T21:40:23.3632020Z 2024-08-20T21:40:23.3632106Z 2024-08-20T21:40:23.3632510Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.3632515Z 2024-08-20T21:40:23.4641661Z msg = Cannot scrape callname=AveragedModel in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/swa_utils.py line=106. 2024-08-20T21:40:23.4642459Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.4643329Z Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA). 2024-08-20T21:40:23.4643342Z 2024-08-20T21:40:23.4644281Z Stochastic Weight Averaging was proposed in `Averaging Weights Leads to 2024-08-20T21:40:23.4644895Z Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii 2024-08-20T21:40:23.4645179Z Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson 2024-08-20T21:40:23.4645291Z (UAI 2018). 2024-08-20T21:40:23.4645307Z 2024-08-20T21:40:23.4645582Z Exponential Moving Average is a variation of `Polyak averaging`_, 2024-08-20T21:40:23.4645921Z but using exponential weights instead of equal weights across iterations. 2024-08-20T21:40:23.4645927Z 2024-08-20T21:40:23.4646235Z AveragedModel class creates a copy of the provided module :attr:`model` 2024-08-20T21:40:23.4646543Z on the device :attr:`device` and allows to compute running averages of the 2024-08-20T21:40:23.4646686Z parameters of the :attr:`model`. 2024-08-20T21:40:23.4646692Z 2024-08-20T21:40:23.4646782Z Args: 2024-08-20T21:40:23.4646988Z model (torch.nn.Module): model to use with SWA/EMA 2024-08-20T21:40:23.4647313Z device (torch.device, optional): if provided, the averaged model will be 2024-08-20T21:40:23.4647443Z stored on the :attr:`device` 2024-08-20T21:40:23.4647727Z avg_fn (function, optional): the averaging function used to update 2024-08-20T21:40:23.4647992Z parameters; the function must take in the current value of the 2024-08-20T21:40:23.4648385Z :class:`AveragedModel` parameter, the current value of :attr:`model` 2024-08-20T21:40:23.4648663Z parameter, and the number of models already averaged; if None, 2024-08-20T21:40:23.4648869Z an equally weighted average is used (default: None) 2024-08-20T21:40:23.4649165Z multi_avg_fn (function, optional): the averaging function used to update 2024-08-20T21:40:23.4649487Z parameters inplace; the function must take in the current values of the 2024-08-20T21:40:23.4649841Z :class:`AveragedModel` parameters as a list, the current values of :attr:`model` 2024-08-20T21:40:23.4650161Z parameters as a list, and the number of models already averaged; if None, 2024-08-20T21:40:23.4650379Z an equally weighted average is used (default: None) 2024-08-20T21:40:23.4650654Z use_buffers (bool): if ``True``, it will compute running averages for 2024-08-20T21:40:23.4650974Z both the parameters and the buffers of the model. (default: ``False``) 2024-08-20T21:40:23.4650979Z 2024-08-20T21:40:23.4651074Z Example: 2024-08-20T21:40:23.4651245Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:23.4651418Z >>> loader, optimizer, model, loss_fn = ... 2024-08-20T21:40:23.4651647Z >>> swa_model = torch.optim.swa_utils.AveragedModel(model) 2024-08-20T21:40:23.4652039Z >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, 2024-08-20T21:40:23.4652257Z >>> T_max=300) 2024-08-20T21:40:23.4652372Z >>> swa_start = 160 2024-08-20T21:40:23.4652600Z >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05) 2024-08-20T21:40:23.4652789Z >>> for i in range(300): 2024-08-20T21:40:23.4653022Z >>> for input, target in loader: 2024-08-20T21:40:23.4653254Z >>> optimizer.zero_grad() 2024-08-20T21:40:23.4653592Z >>> loss_fn(model(input), target).backward() 2024-08-20T21:40:23.4653799Z >>> optimizer.step() 2024-08-20T21:40:23.4654018Z >>> if i > swa_start: 2024-08-20T21:40:23.4654282Z >>> swa_model.update_parameters(model) 2024-08-20T21:40:23.4654513Z >>> swa_scheduler.step() 2024-08-20T21:40:23.4654681Z >>> else: 2024-08-20T21:40:23.4654888Z >>> scheduler.step() 2024-08-20T21:40:23.4655057Z >>> 2024-08-20T21:40:23.4655413Z >>> # Update bn statistics for the swa_model at the end 2024-08-20T21:40:23.4655958Z >>> torch.optim.swa_utils.update_bn(loader, swa_model) 2024-08-20T21:40:23.4655969Z 2024-08-20T21:40:23.4656760Z You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters. 2024-08-20T21:40:23.4657035Z If no averaging function is provided, the default is to compute 2024-08-20T21:40:23.4657328Z equally-weighted average of the weights (SWA). 2024-08-20T21:40:23.4657340Z 2024-08-20T21:40:23.4657450Z Example: 2024-08-20T21:40:23.4657617Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:23.4657886Z >>> # Compute exponential moving averages of the weights and buffers 2024-08-20T21:40:23.4658130Z >>> ema_model = torch.optim.swa_utils.AveragedModel(model, 2024-08-20T21:40:23.4658421Z >>> torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True) 2024-08-20T21:40:23.4658427Z 2024-08-20T21:40:23.4658543Z .. note:: 2024-08-20T21:40:23.4658861Z When using SWA/EMA with models containing Batch Normalization you may 2024-08-20T21:40:23.4669806Z need to update the activation statistics for Batch Normalization. 2024-08-20T21:40:23.4670275Z This can be done either by using the :meth:`torch.optim.swa_utils.update_bn` 2024-08-20T21:40:23.4670597Z or by setting :attr:`use_buffers` to `True`. The first approach updates the 2024-08-20T21:40:23.4671224Z statistics in a post-training step by passing data through the model. The 2024-08-20T21:40:23.4671551Z second does it during the parameter update phase by averaging all buffers. 2024-08-20T21:40:23.4671877Z Empirical evidence has shown that updating the statistics in normalization 2024-08-20T21:40:23.4672191Z layers increases accuracy, but you may wish to empirically test which 2024-08-20T21:40:23.4672388Z approach yields the best results in your problem. 2024-08-20T21:40:23.4672396Z 2024-08-20T21:40:23.4672516Z .. note:: 2024-08-20T21:40:23.4672885Z :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model. 2024-08-20T21:40:23.4672892Z 2024-08-20T21:40:23.4672984Z .. note:: 2024-08-20T21:40:23.4673263Z When :meth:`update_parameters` is called for the first time (i.e. 2024-08-20T21:40:23.4673509Z :attr:`n_averaged` is `0`) the parameters of `model` are copied 2024-08-20T21:40:23.4673783Z to the parameters of :class:`AveragedModel`. For every subsequent 2024-08-20T21:40:23.4674053Z call of :meth:`update_parameters` the function `avg_fn` is used 2024-08-20T21:40:23.4674176Z to update the parameters. 2024-08-20T21:40:23.4674183Z 2024-08-20T21:40:23.4674482Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2024-08-20T21:40:23.4674628Z https://arxiv.org/abs/1803.05407 2024-08-20T21:40:23.4674943Z .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should 2024-08-20T21:40:23.4675055Z Average: 2024-08-20T21:40:23.4675190Z https://arxiv.org/abs/1806.05594 2024-08-20T21:40:23.4675534Z .. _SWALP: Stochastic Weight Averaging in Low-Precision Training: 2024-08-20T21:40:23.4675682Z https://arxiv.org/abs/1904.11943 2024-08-20T21:40:23.4676043Z .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That 2024-08-20T21:40:23.4676152Z Generalizes Well: 2024-08-20T21:40:23.4676302Z https://arxiv.org/abs/2001.02312 2024-08-20T21:40:23.4676417Z .. _Polyak averaging: 2024-08-20T21:40:23.4676696Z https://paperswithcode.com/method/polyak-averaging 2024-08-20T21:40:23.4676799Z 2024-08-20T21:40:23.4677195Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.4677201Z 2024-08-20T21:40:23.4678023Z msg = Cannot scrape callname=SWALR in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/swa_utils.py line=357. 2024-08-20T21:40:23.4678433Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.4678792Z Anneals the learning rate in each parameter group to a fixed value. 2024-08-20T21:40:23.4678813Z 2024-08-20T21:40:23.4679124Z This learning rate scheduler is meant to be used with Stochastic Weight 2024-08-20T21:40:23.4679404Z Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`). 2024-08-20T21:40:23.4679410Z 2024-08-20T21:40:23.4679516Z Args: 2024-08-20T21:40:23.4679736Z optimizer (torch.optim.Optimizer): wrapped optimizer 2024-08-20T21:40:23.4680020Z swa_lrs (float or list): the learning rate value for all param groups 2024-08-20T21:40:23.4680199Z together or separately for each group. 2024-08-20T21:40:23.4680459Z annealing_epochs (int): number of epochs in the annealing phase 2024-08-20T21:40:23.4680563Z (default: 10) 2024-08-20T21:40:23.4680859Z annealing_strategy (str): "cos" or "linear"; specifies the annealing 2024-08-20T21:40:23.4681136Z strategy: "cos" for cosine annealing, "linear" for linear annealing 2024-08-20T21:40:23.4681265Z (default: "cos") 2024-08-20T21:40:23.4681572Z last_epoch (int): the index of the last epoch (default: -1) 2024-08-20T21:40:23.4681578Z 2024-08-20T21:40:23.4681812Z The :class:`SWALR` scheduler can be used together with other 2024-08-20T21:40:23.4682122Z schedulers to switch to a constant learning rate late in the training 2024-08-20T21:40:23.4682297Z as in the example below. 2024-08-20T21:40:23.4682303Z 2024-08-20T21:40:23.4682396Z Example: 2024-08-20T21:40:23.4682578Z >>> # xdoctest: +SKIP("Undefined variables") 2024-08-20T21:40:23.4682717Z >>> loader, optimizer, model = ... 2024-08-20T21:40:23.4682852Z >>> lr_lambda = lambda epoch: 0.9 2024-08-20T21:40:23.4683153Z >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer, 2024-08-20T21:40:23.4683296Z >>> lr_lambda=lr_lambda) 2024-08-20T21:40:23.4683532Z >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer, 2024-08-20T21:40:23.4683782Z >>> anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05) 2024-08-20T21:40:23.4683889Z >>> swa_start = 160 2024-08-20T21:40:23.4684077Z >>> for i in range(300): 2024-08-20T21:40:23.4684221Z >>> for input, target in loader: 2024-08-20T21:40:23.4684354Z >>> optimizer.zero_grad() 2024-08-20T21:40:23.4684545Z >>> loss_fn(model(input), target).backward() 2024-08-20T21:40:23.4684672Z >>> optimizer.step() 2024-08-20T21:40:23.4684785Z >>> if i > swa_start: 2024-08-20T21:40:23.4684928Z >>> swa_scheduler.step() 2024-08-20T21:40:23.4685024Z >>> else: 2024-08-20T21:40:23.4685141Z >>> scheduler.step() 2024-08-20T21:40:23.4685147Z 2024-08-20T21:40:23.4685446Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2024-08-20T21:40:23.4685582Z https://arxiv.org/abs/1803.05407 2024-08-20T21:40:23.4685668Z 2024-08-20T21:40:23.4686082Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.4686089Z 2024-08-20T21:40:23.4786639Z msg = Cannot scrape callname=register_pytree_node in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py line=111. 2024-08-20T21:40:23.4788037Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.4788794Z Register a container-like type as pytree node. 2024-08-20T21:40:23.4789163Z 2024-08-20T21:40:23.4789261Z Args: 2024-08-20T21:40:23.4789674Z cls (type): A Python type to treat as an internal pytree node. 2024-08-20T21:40:23.4790473Z flatten_fn (callable): A function to be used during flattening, taking an instance of 2024-08-20T21:40:23.4791374Z ``cls`` and returning a pair, with (1) an iterable for the children to be flattened 2024-08-20T21:40:23.4792301Z recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be 2024-08-20T21:40:23.4793187Z passed to the ``unflatten_fn``. 2024-08-20T21:40:23.4793877Z unflatten_fn (callable): A function taking two arguments: the auxiliary data that was 2024-08-20T21:40:23.4794787Z returned by ``flatten_fn`` and stored in the treespec, and the unflattened children. 2024-08-20T21:40:23.4795538Z The function should return an instance of ``cls``. 2024-08-20T21:40:23.4796262Z serialized_type_name (str, optional): A keyword argument used to specify the fully 2024-08-20T21:40:23.4797013Z qualified name used when serializing the tree spec. 2024-08-20T21:40:23.4797810Z to_dumpable_context (callable, optional): An optional keyword argument to custom specify how 2024-08-20T21:40:23.4798779Z to convert the context of the pytree to a custom json dumpable representation. This is 2024-08-20T21:40:23.4799724Z used for json serialization, which is being used in :mod:`torch.export` right now. 2024-08-20T21:40:23.4800670Z from_dumpable_context (callable, optional): An optional keyword argument to custom specify 2024-08-20T21:40:23.4801603Z how to convert the custom json dumpable representation of the context back to the 2024-08-20T21:40:23.4802493Z original context. This is used for json deserialization, which is being used in 2024-08-20T21:40:23.4803244Z :mod:`torch.export` right now. 2024-08-20T21:40:23.4803541Z 2024-08-20T21:40:23.4803674Z Example:: 2024-08-20T21:40:23.4803838Z 2024-08-20T21:40:23.4803957Z >>> # xdoctest: +SKIP 2024-08-20T21:40:23.4804393Z >>> # Registry a Python type with lambda functions 2024-08-20T21:40:23.4804873Z >>> register_pytree_node( 2024-08-20T21:40:23.4805221Z ... set, 2024-08-20T21:40:23.4805573Z ... lambda s: (sorted(s), None, None), 2024-08-20T21:40:23.4806053Z ... lambda children, _: set(children), 2024-08-20T21:40:23.4806472Z ... ) 2024-08-20T21:40:23.4806725Z 2024-08-20T21:40:23.4807279Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.4807775Z 2024-08-20T21:40:23.5284065Z msg = Cannot scrape callname=SelectiveCheckpointContext in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1201. 2024-08-20T21:40:23.5286251Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.5286784Z 2024-08-20T21:40:23.5287077Z Context passed to policy function during selective checkpointing. 2024-08-20T21:40:23.5287514Z 2024-08-20T21:40:23.5287845Z This class is used to pass relevant metadata to the policy function during 2024-08-20T21:40:23.5288664Z selective checkpointing. The metadata includes whether the current invocation 2024-08-20T21:40:23.5289683Z of the policy function is during recomputation or not. 2024-08-20T21:40:23.5290147Z 2024-08-20T21:40:23.5290291Z Example: 2024-08-20T21:40:23.5290719Z >>> # xdoctest: +SKIP(stub) 2024-08-20T21:40:23.5291322Z >>> 2024-08-20T21:40:23.5291798Z >>> def policy_fn(ctx, op, *args, **kwargs): 2024-08-20T21:40:23.5292570Z >>> print(ctx.is_recompute) 2024-08-20T21:40:23.5293196Z >>> 2024-08-20T21:40:23.5294102Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2024-08-20T21:40:23.5294934Z >>> 2024-08-20T21:40:23.5295257Z >>> out = torch.utils.checkpoint.checkpoint( 2024-08-20T21:40:23.5295716Z >>> fn, x, y, 2024-08-20T21:40:23.5296033Z >>> use_reentrant=False, 2024-08-20T21:40:23.5296399Z >>> context_fn=context_fn, 2024-08-20T21:40:23.5296755Z >>> ) 2024-08-20T21:40:23.5296895Z 2024-08-20T21:40:23.5297445Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.5297939Z 2024-08-20T21:40:23.5298974Z msg = Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1335. 2024-08-20T21:40:23.5300691Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.5301221Z 2024-08-20T21:40:23.5301533Z Helper to avoid recomputing certain ops during activation checkpointing. 2024-08-20T21:40:23.5302015Z 2024-08-20T21:40:23.5302321Z Use this with `torch.utils.checkpoint.checkpoint` to control which 2024-08-20T21:40:23.5303018Z operations are recomputed during the backward pass. 2024-08-20T21:40:23.5303392Z 2024-08-20T21:40:23.5303480Z Args: 2024-08-20T21:40:23.5303764Z policy_fn_or_list (Callable or List): 2024-08-20T21:40:23.5304366Z - If a policy function is provided, it should accept a 2024-08-20T21:40:23.5305055Z :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and 2024-08-20T21:40:23.5305827Z kwargs to the op, and return a :class:`CheckpointPolicy` enum value 2024-08-20T21:40:23.5306602Z indicating whether the execution of the op should be recomputed or not. 2024-08-20T21:40:23.5307433Z - If a list of operations is provided, it is equivalent to a policy 2024-08-20T21:40:23.5308123Z returning `CheckpointPolicy.MUST_SAVE` for the specified 2024-08-20T21:40:23.5308816Z operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other 2024-08-20T21:40:23.5309360Z operations. 2024-08-20T21:40:23.5309830Z allow_cache_entry_mutation (bool, optional): By default, an error is 2024-08-20T21:40:23.5310654Z raised if any tensors cached by selective activation checkpoint are 2024-08-20T21:40:23.5311389Z mutated in order to ensure correctness. If set to `True`, this check 2024-08-20T21:40:23.5311955Z is disabled. 2024-08-20T21:40:23.5312243Z Returns: 2024-08-20T21:40:23.5312510Z A tuple of two context managers. 2024-08-20T21:40:23.5312802Z 2024-08-20T21:40:23.5312898Z Example: 2024-08-20T21:40:23.5313174Z >>> # xdoctest: +REQUIRES(LINUX) 2024-08-20T21:40:23.5313549Z >>> import functools 2024-08-20T21:40:23.5313859Z >>> 2024-08-20T21:40:23.5314165Z >>> x = torch.rand(10, 10, requires_grad=True) 2024-08-20T21:40:23.5314643Z >>> y = torch.rand(10, 10, requires_grad=True) 2024-08-20T21:40:23.5315061Z >>> 2024-08-20T21:40:23.5315309Z >>> ops_to_save = [ 2024-08-20T21:40:23.5315639Z >>> torch.ops.aten.mm.default, 2024-08-20T21:40:23.5316021Z >>> ] 2024-08-20T21:40:23.5316268Z >>> 2024-08-20T21:40:23.5316585Z >>> def policy_fn(ctx, op, *args, **kwargs): 2024-08-20T21:40:23.5317036Z >>> if op in ops_to_save: 2024-08-20T21:40:23.5317456Z >>> return CheckpointPolicy.MUST_SAVE 2024-08-20T21:40:23.5317869Z >>> else: 2024-08-20T21:40:23.5318231Z >>> return CheckpointPolicy.PREFER_RECOMPUTE 2024-08-20T21:40:23.5318675Z >>> 2024-08-20T21:40:23.5319157Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2024-08-20T21:40:23.5319834Z >>> 2024-08-20T21:40:23.5320092Z >>> # or equivalently 2024-08-20T21:40:23.5320673Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save) 2024-08-20T21:40:23.5321302Z >>> 2024-08-20T21:40:23.5321552Z >>> def fn(x, y): 2024-08-20T21:40:23.5321996Z >>> return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y 2024-08-20T21:40:23.5322521Z >>> 2024-08-20T21:40:23.5322850Z >>> out = torch.utils.checkpoint.checkpoint( 2024-08-20T21:40:23.5323296Z >>> fn, x, y, 2024-08-20T21:40:23.5323617Z >>> use_reentrant=False, 2024-08-20T21:40:23.5323996Z >>> context_fn=context_fn, 2024-08-20T21:40:23.5324341Z >>> ) 2024-08-20T21:40:23.5324499Z 2024-08-20T21:40:23.5324916Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.5325402Z 2024-08-20T21:40:23.5493742Z msg = Cannot scrape callname=CppExtension in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=925. 2024-08-20T21:40:23.5495178Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.5495687Z 2024-08-20T21:40:23.5496105Z Create a :class:`setuptools.Extension` for C++. 2024-08-20T21:40:23.5496464Z 2024-08-20T21:40:23.5496778Z Convenience method that creates a :class:`setuptools.Extension` with the 2024-08-20T21:40:23.5497834Z bare minimum (but often sufficient) arguments to build a C++ extension. 2024-08-20T21:40:23.5498471Z 2024-08-20T21:40:23.5498916Z All arguments are forwarded to the :class:`setuptools.Extension` 2024-08-20T21:40:23.5501765Z constructor. Full list arguments can be found at 2024-08-20T21:40:23.5503452Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2024-08-20T21:40:23.5504319Z 2024-08-20T21:40:23.5504429Z Example: 2024-08-20T21:40:23.5504683Z >>> # xdoctest: +SKIP 2024-08-20T21:40:23.5505101Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-08-20T21:40:23.5505584Z >>> from setuptools import setup 2024-08-20T21:40:23.5506152Z >>> from torch.utils.cpp_extension import BuildExtension, CppExtension 2024-08-20T21:40:23.5506723Z >>> setup( 2024-08-20T21:40:23.5507058Z ... name='extension', 2024-08-20T21:40:23.5507446Z ... ext_modules=[ 2024-08-20T21:40:23.5507781Z ... CppExtension( 2024-08-20T21:40:23.5508231Z ... name='extension', 2024-08-20T21:40:23.5508696Z ... sources=['extension.cpp'], 2024-08-20T21:40:23.5509509Z ... extra_compile_args=['-g'], 2024-08-20T21:40:23.5510254Z ... extra_link_flags=['-Wl,--no-as-needed', '-lm']) 2024-08-20T21:40:23.5510822Z ... ], 2024-08-20T21:40:23.5511270Z ... cmdclass={ 2024-08-20T21:40:23.5511876Z ... 'build_ext': BuildExtension 2024-08-20T21:40:23.5512491Z ... }) 2024-08-20T21:40:23.5512854Z 2024-08-20T21:40:23.5513641Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.5514563Z 2024-08-20T21:40:23.5515873Z msg = Cannot scrape callname=CUDAExtension in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=976. 2024-08-20T21:40:23.5517172Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.5517694Z 2024-08-20T21:40:23.5517897Z Create a :class:`setuptools.Extension` for CUDA/C++. 2024-08-20T21:40:23.5518263Z 2024-08-20T21:40:23.5518587Z Convenience method that creates a :class:`setuptools.Extension` with the 2024-08-20T21:40:23.5519322Z bare minimum (but often sufficient) arguments to build a CUDA/C++ 2024-08-20T21:40:23.5520073Z extension. This includes the CUDA include path, library path and runtime 2024-08-20T21:40:23.5520886Z library. 2024-08-20T21:40:23.5521032Z 2024-08-20T21:40:23.5521301Z All arguments are forwarded to the :class:`setuptools.Extension` 2024-08-20T21:40:23.5522262Z constructor. Full list arguments can be found at 2024-08-20T21:40:23.5523803Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2024-08-20T21:40:23.5524927Z 2024-08-20T21:40:23.5525103Z Example: 2024-08-20T21:40:23.5525599Z >>> # xdoctest: +SKIP 2024-08-20T21:40:23.5526439Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-08-20T21:40:23.5526920Z >>> from setuptools import setup 2024-08-20T21:40:23.5527505Z >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension 2024-08-20T21:40:23.5528077Z >>> setup( 2024-08-20T21:40:23.5528418Z ... name='cuda_extension', 2024-08-20T21:40:23.5528803Z ... ext_modules=[ 2024-08-20T21:40:23.5529133Z ... CUDAExtension( 2024-08-20T21:40:23.5529559Z ... name='cuda_extension', 2024-08-20T21:40:23.5530151Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2024-08-20T21:40:23.5530774Z ... extra_compile_args={'cxx': ['-g'], 2024-08-20T21:40:23.5531337Z ... 'nvcc': ['-O2']}, 2024-08-20T21:40:23.5531943Z ... extra_link_flags=['-Wl,--no-as-needed', '-lcuda']) 2024-08-20T21:40:23.5532611Z ... ], 2024-08-20T21:40:23.5532888Z ... cmdclass={ 2024-08-20T21:40:23.5533263Z ... 'build_ext': BuildExtension 2024-08-20T21:40:23.5533661Z ... }) 2024-08-20T21:40:23.5533819Z 2024-08-20T21:40:23.5533948Z Compute capabilities: 2024-08-20T21:40:23.5534148Z 2024-08-20T21:40:23.5534569Z By default the extension will be compiled to run on all archs of the cards visible during the 2024-08-20T21:40:23.5535574Z building process of the extension, plus PTX. If down the road a new card is installed the 2024-08-20T21:40:23.5536607Z extension may need to be recompiled. If a visible card has a compute capability (CC) that's 2024-08-20T21:40:23.5537680Z newer than the newest version for which your nvcc can build fully-compiled binaries, Pytorch 2024-08-20T21:40:23.5538670Z will make nvcc fall back to building kernels with the newest version of PTX your nvcc does 2024-08-20T21:40:23.5539393Z support (see below for details on PTX). 2024-08-20T21:40:23.5539688Z 2024-08-20T21:40:23.5540134Z You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which 2024-08-20T21:40:23.5540962Z CCs you want the extension to support: 2024-08-20T21:40:23.5541265Z 2024-08-20T21:40:23.5541504Z ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py`` 2024-08-20T21:40:23.5542257Z ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py`` 2024-08-20T21:40:23.5542875Z 2024-08-20T21:40:23.5543308Z The +PTX option causes extension kernel binaries to include PTX instructions for the specified 2024-08-20T21:40:23.5544446Z CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >= 2024-08-20T21:40:23.5545573Z the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with 2024-08-20T21:40:23.5546678Z CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to 2024-08-20T21:40:23.5547766Z provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on 2024-08-20T21:40:23.5548855Z those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better 2024-08-20T21:40:23.5549874Z off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6, 2024-08-20T21:40:23.5550991Z "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but 2024-08-20T21:40:23.5551715Z "8.0 8.6" would be better. 2024-08-20T21:40:23.5551932Z 2024-08-20T21:40:23.5552444Z Note that while it's possible to include all supported archs, the more archs get included the 2024-08-20T21:40:23.5553438Z slower the building process will be, as it will build a separate kernel image for each arch. 2024-08-20T21:40:23.5554015Z 2024-08-20T21:40:23.5554572Z Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows. 2024-08-20T21:40:23.5555493Z To workaround the issue, move python binding logic to pure C++ file. 2024-08-20T21:40:23.5555937Z 2024-08-20T21:40:23.5556056Z Example use: 2024-08-20T21:40:23.5556331Z #include 2024-08-20T21:40:23.5556768Z at::Tensor SigmoidAlphaBlendForwardCuda(....) 2024-08-20T21:40:23.5557115Z 2024-08-20T21:40:23.5557223Z Instead of: 2024-08-20T21:40:23.5557497Z #include 2024-08-20T21:40:23.5557955Z torch::Tensor SigmoidAlphaBlendForwardCuda(...) 2024-08-20T21:40:23.5558333Z 2024-08-20T21:40:23.5558697Z Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460 2024-08-20T21:40:23.5559895Z Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48 2024-08-20T21:40:23.5560703Z 2024-08-20T21:40:23.5560832Z Relocatable device code linking: 2024-08-20T21:40:23.5561098Z 2024-08-20T21:40:23.5561478Z If you want to reference device symbols across compilation units (across object files), 2024-08-20T21:40:23.5562584Z the object files need to be built with `relocatable device code` (-rdc=true or -dc). 2024-08-20T21:40:23.5563620Z An exception to this rule is "dynamic parallelism" (nested kernel launches) which is not used a lot anymore. 2024-08-20T21:40:23.5564754Z `Relocatable device code` is less optimized so it needs to be used only on object files that need it. 2024-08-20T21:40:23.5565916Z Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step 2024-08-20T21:40:23.5566812Z help reduce the protentional perf degradation of `-rdc`. 2024-08-20T21:40:23.5567415Z Note that it needs to be used at both steps to be useful. 2024-08-20T21:40:23.5567811Z 2024-08-20T21:40:23.5568460Z If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step. 2024-08-20T21:40:23.5569459Z There is also a case where `-dlink` is used without `-rdc`: 2024-08-20T21:40:23.5570265Z when an extension is linked against a static lib containing rdc-compiled objects 2024-08-20T21:40:23.5571074Z like the [NVSHMEM library](https://developer.nvidia.com/nvshmem). 2024-08-20T21:40:23.5571527Z 2024-08-20T21:40:23.5571800Z Note: Ninja is required to build a CUDA Extension with RDC linking. 2024-08-20T21:40:23.5572241Z 2024-08-20T21:40:23.5572350Z Example: 2024-08-20T21:40:23.5572598Z >>> # xdoctest: +SKIP 2024-08-20T21:40:23.5573007Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-08-20T21:40:23.5573533Z >>> CUDAExtension( 2024-08-20T21:40:23.5573902Z ... name='cuda_extension', 2024-08-20T21:40:23.5574451Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2024-08-20T21:40:23.5574940Z ... dlink=True, 2024-08-20T21:40:23.5575289Z ... dlink_libraries=["dlink_lib"], 2024-08-20T21:40:23.5575805Z ... extra_compile_args={'cxx': ['-g'], 2024-08-20T21:40:23.5576362Z ... 'nvcc': ['-O2', '-rdc=true']}) 2024-08-20T21:40:23.5576698Z 2024-08-20T21:40:23.5577092Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.5577596Z 2024-08-20T21:40:23.5578399Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1234. 2024-08-20T21:40:23.5579657Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.5580166Z 2024-08-20T21:40:23.5580500Z Load a PyTorch C++ extension just-in-time (JIT). 2024-08-20T21:40:23.5580850Z 2024-08-20T21:40:23.5581138Z To load an extension, a Ninja build file is emitted, which is used to 2024-08-20T21:40:23.5581865Z compile the given sources into a dynamic library. This library is 2024-08-20T21:40:23.5582594Z subsequently loaded into the current Python process as a module and 2024-08-20T21:40:23.5583191Z returned from this function, ready for use. 2024-08-20T21:40:23.5583517Z 2024-08-20T21:40:23.5583797Z By default, the directory to which the build file is emitted and the 2024-08-20T21:40:23.5584569Z resulting library compiled to is ``/torch_extensions/``, where 2024-08-20T21:40:23.5585314Z ```` is the temporary folder on the current platform and ```` 2024-08-20T21:40:23.5586066Z the name of the extension. This location can be overridden in two ways. 2024-08-20T21:40:23.5586821Z First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it 2024-08-20T21:40:23.5587564Z replaces ``/torch_extensions`` and all extensions will be compiled 2024-08-20T21:40:23.5588294Z into subfolders of this directory. Second, if the ``build_directory`` 2024-08-20T21:40:23.5589060Z argument to this function is supplied, it overrides the entire path, i.e. 2024-08-20T21:40:23.5589760Z the library will be compiled into that folder directly. 2024-08-20T21:40:23.5590140Z 2024-08-20T21:40:23.5590427Z To compile the sources, the default system compiler (``c++``) is used, 2024-08-20T21:40:23.5591213Z which can be overridden by setting the ``CXX`` environment variable. To pass 2024-08-20T21:40:23.5592078Z additional arguments to the compilation process, ``extra_cflags`` or 2024-08-20T21:40:23.5592836Z ``extra_ldflags`` can be provided. For example, to compile your extension 2024-08-20T21:40:23.5593659Z with optimizations, pass ``extra_cflags=['-O3']``. You can also use 2024-08-20T21:40:23.5594293Z ``extra_cflags`` to pass further include directories. 2024-08-20T21:40:23.5594650Z 2024-08-20T21:40:23.5594981Z CUDA support with mixed compilation is provided. Simply pass CUDA source 2024-08-20T21:40:23.5595714Z files (``.cu`` or ``.cuh``) along with other sources. Such files will be 2024-08-20T21:40:23.5596470Z detected and compiled with nvcc rather than the C++ compiler. This includes 2024-08-20T21:40:23.5597249Z passing the CUDA lib64 directory as a library directory, and linking 2024-08-20T21:40:23.5597891Z ``cudart``. You can pass additional flags to nvcc via 2024-08-20T21:40:23.5598578Z ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various 2024-08-20T21:40:23.5599337Z heuristics for finding the CUDA install directory are used, which usually 2024-08-20T21:40:23.5600105Z work fine. If not, setting the ``CUDA_HOME`` environment variable is the 2024-08-20T21:40:23.5600676Z safest option. 2024-08-20T21:40:23.5600883Z 2024-08-20T21:40:23.5600986Z Args: 2024-08-20T21:40:23.5601411Z name: The name of the extension to build. This MUST be the same as the 2024-08-20T21:40:23.5602000Z name of the pybind11 module! 2024-08-20T21:40:23.5602614Z sources: A list of relative or absolute paths to C++ source files. 2024-08-20T21:40:23.5603353Z extra_cflags: optional list of compiler flags to forward to the build. 2024-08-20T21:40:23.5604092Z extra_cuda_cflags: optional list of compiler flags to forward to nvcc 2024-08-20T21:40:23.5604685Z when building CUDA sources. 2024-08-20T21:40:23.5605250Z extra_ldflags: optional list of linker flags to forward to the build. 2024-08-20T21:40:23.5605979Z extra_include_paths: optional list of include directories to forward 2024-08-20T21:40:23.5606537Z to the build. 2024-08-20T21:40:23.5606965Z build_directory: optional path to use as build workspace. 2024-08-20T21:40:23.5607585Z verbose: If ``True``, turns on verbose logging of load steps. 2024-08-20T21:40:23.5608325Z with_cuda: Determines whether CUDA headers and libraries are added to 2024-08-20T21:40:23.5609004Z the build. If set to ``None`` (default), this value is 2024-08-20T21:40:23.5609644Z automatically determined based on the existence of ``.cu`` or 2024-08-20T21:40:23.5610319Z ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers 2024-08-20T21:40:23.5610861Z and libraries to be included. 2024-08-20T21:40:23.5611402Z is_python_module: If ``True`` (default), imports the produced shared 2024-08-20T21:40:23.5612094Z library as a Python module. If ``False``, behavior depends on 2024-08-20T21:40:23.5612623Z ``is_standalone``. 2024-08-20T21:40:23.5613112Z is_standalone: If ``False`` (default) loads the constructed extension 2024-08-20T21:40:23.5613843Z into the process as a plain dynamic library. If ``True``, build a 2024-08-20T21:40:23.5614403Z standalone executable. 2024-08-20T21:40:23.5614645Z 2024-08-20T21:40:23.5614749Z Returns: 2024-08-20T21:40:23.5615023Z If ``is_python_module`` is ``True``: 2024-08-20T21:40:23.5615544Z Returns the loaded PyTorch extension as a Python module. 2024-08-20T21:40:23.5615941Z 2024-08-20T21:40:23.5616230Z If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``: 2024-08-20T21:40:23.5616952Z Returns nothing. (The shared library is loaded into the process as 2024-08-20T21:40:23.5617508Z a side effect.) 2024-08-20T21:40:23.5617710Z 2024-08-20T21:40:23.5617849Z If ``is_standalone`` is ``True``. 2024-08-20T21:40:23.5618394Z Return the path to the executable. (On Windows, TORCH_LIB_PATH is 2024-08-20T21:40:23.5619104Z added to the PATH environment variable as a side effect.) 2024-08-20T21:40:23.5619499Z 2024-08-20T21:40:23.5619611Z Example: 2024-08-20T21:40:23.5619930Z >>> # xdoctest: +SKIP 2024-08-20T21:40:23.5620332Z >>> from torch.utils.cpp_extension import load 2024-08-20T21:40:23.5620866Z >>> module = load( 2024-08-20T21:40:23.5621240Z ... name='extension', 2024-08-20T21:40:23.5621744Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2024-08-20T21:40:23.5622286Z ... extra_cflags=['-O2'], 2024-08-20T21:40:23.5622641Z ... verbose=True) 2024-08-20T21:40:23.5622864Z 2024-08-20T21:40:23.5623264Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.5623760Z 2024-08-20T21:40:23.5624648Z msg = Cannot scrape callname=load_inline in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1523. 2024-08-20T21:40:23.5626090Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.5626595Z 2024-08-20T21:40:23.5626963Z Load a PyTorch C++ extension just-in-time (JIT) from string sources. 2024-08-20T21:40:23.5627418Z 2024-08-20T21:40:23.5627725Z This function behaves exactly like :func:`load`, but takes its sources as 2024-08-20T21:40:23.5628508Z strings rather than filenames. These strings are stored to files in the 2024-08-20T21:40:23.5629254Z build directory, after which the behavior of :func:`load_inline` is 2024-08-20T21:40:23.5629928Z identical to :func:`load`. 2024-08-20T21:40:23.5630152Z 2024-08-20T21:40:23.5630243Z See `the 2024-08-20T21:40:23.5630814Z tests `_ 2024-08-20T21:40:23.5631561Z for good examples of using this function. 2024-08-20T21:40:23.5631868Z 2024-08-20T21:40:23.5632261Z Sources may omit two required parts of a typical non-inline C++ extension: 2024-08-20T21:40:23.5633147Z the necessary header includes, as well as the (pybind11) binding code. More 2024-08-20T21:40:23.5633951Z precisely, strings passed to ``cpp_sources`` are first concatenated into a 2024-08-20T21:40:23.5634680Z single ``.cpp`` file. This file is then prepended with ``#include 2024-08-20T21:40:23.5635219Z ``. 2024-08-20T21:40:23.5635420Z 2024-08-20T21:40:23.5635731Z Furthermore, if the ``functions`` argument is supplied, bindings will be 2024-08-20T21:40:23.5636493Z automatically generated for each function specified. ``functions`` can 2024-08-20T21:40:23.5637277Z either be a list of function names, or a dictionary mapping from function 2024-08-20T21:40:23.5638060Z names to docstrings. If a list is given, the name of each function is used 2024-08-20T21:40:23.5638646Z as its docstring. 2024-08-20T21:40:23.5638824Z 2024-08-20T21:40:23.5639118Z The sources in ``cuda_sources`` are concatenated into a separate ``.cu`` 2024-08-20T21:40:23.5639810Z file and prepended with ``torch/types.h``, ``cuda.h`` and 2024-08-20T21:40:23.5640486Z ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled 2024-08-20T21:40:23.5641214Z separately, but ultimately linked into a single library. Note that no 2024-08-20T21:40:23.5641981Z bindings are generated for functions in ``cuda_sources`` per se. To bind 2024-08-20T21:40:23.5642764Z to a CUDA kernel, you must create a C++ function that calls it, and either 2024-08-20T21:40:23.5643520Z declare or define this C++ function in one of the ``cpp_sources`` (and 2024-08-20T21:40:23.5644116Z include its name in ``functions``). 2024-08-20T21:40:23.5644395Z 2024-08-20T21:40:23.5644649Z See :func:`load` for a description of arguments omitted below. 2024-08-20T21:40:23.5645055Z 2024-08-20T21:40:23.5645157Z Args: 2024-08-20T21:40:23.5645582Z cpp_sources: A string, or list of strings, containing C++ source code. 2024-08-20T21:40:23.5646346Z cuda_sources: A string, or list of strings, containing CUDA source code. 2024-08-20T21:40:23.5647091Z functions: A list of function names for which to generate function 2024-08-20T21:40:23.5647814Z bindings. If a dictionary is given, it should map function names to 2024-08-20T21:40:23.5648593Z docstrings (which are otherwise just the function names). 2024-08-20T21:40:23.5649292Z with_cuda: Determines whether CUDA headers and libraries are added to 2024-08-20T21:40:23.5649959Z the build. If set to ``None`` (default), this value is 2024-08-20T21:40:23.5650604Z automatically determined based on whether ``cuda_sources`` is 2024-08-20T21:40:23.5651240Z provided. Set it to ``True`` to force CUDA headers 2024-08-20T21:40:23.5651731Z and libraries to be included. 2024-08-20T21:40:23.5652285Z with_pytorch_error_handling: Determines whether pytorch error and 2024-08-20T21:40:23.5652985Z warning macros are handled by pytorch instead of pybind. To do 2024-08-20T21:40:23.5653723Z this, each function ``foo`` is called via an intermediary ``_safe_foo`` 2024-08-20T21:40:23.5654451Z function. This redirection might cause issues in obscure cases 2024-08-20T21:40:23.5655136Z of cpp. This flag should be set to ``False`` when this redirect 2024-08-20T21:40:23.5655672Z causes issues. 2024-08-20T21:40:23.5655869Z 2024-08-20T21:40:23.5655964Z Example: 2024-08-20T21:40:23.5656304Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-08-20T21:40:23.5656867Z >>> from torch.utils.cpp_extension import load_inline 2024-08-20T21:40:23.5657331Z >>> source = """ 2024-08-20T21:40:23.5657776Z at::Tensor sin_add(at::Tensor x, at::Tensor y) { 2024-08-20T21:40:23.5658241Z return x.sin() + y.sin(); 2024-08-20T21:40:23.5658575Z } 2024-08-20T21:40:23.5658810Z """ 2024-08-20T21:40:23.5659212Z >>> module = load_inline(name='inline_extension', 2024-08-20T21:40:23.5659693Z ... cpp_sources=[source], 2024-08-20T21:40:23.5660220Z ... functions=['sin_add']) 2024-08-20T21:40:23.5660624Z 2024-08-20T21:40:23.5660739Z .. note:: 2024-08-20T21:40:23.5661149Z By default, the Ninja backend uses #CPUS + 2 workers to build the 2024-08-20T21:40:23.5661876Z extension. This may use up too many resources on some systems. One 2024-08-20T21:40:23.5662628Z can control the number of workers by setting the `MAX_JOBS` environment 2024-08-20T21:40:23.5663284Z variable to a non-negative number. 2024-08-20T21:40:23.5663582Z 2024-08-20T21:40:23.5663986Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.5664490Z 2024-08-20T21:40:23.5701789Z msg = Cannot scrape callname=ThroughputBenchmark in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/throughput_benchmark.py line=61. 2024-08-20T21:40:23.5704402Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.5705115Z 2024-08-20T21:40:23.5705540Z This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark. 2024-08-20T21:40:23.5706110Z 2024-08-20T21:40:23.5706503Z This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible 2024-08-20T21:40:23.5707410Z for executing a PyTorch module (nn.Module or ScriptModule) under an inference 2024-08-20T21:40:23.5708239Z server like load. It can emulate multiple calling threads to a single module 2024-08-20T21:40:23.5709069Z provided. In the future we plan to enhance this component to support inter and 2024-08-20T21:40:23.5709993Z intra-op parallelism as well as multiple models running in a single process. 2024-08-20T21:40:23.5710510Z 2024-08-20T21:40:23.5710867Z Please note that even though nn.Module is supported, it might incur an overhead 2024-08-20T21:40:23.5711701Z from the need to hold GIL every time we execute Python code or pass around 2024-08-20T21:40:23.5712500Z inputs as Python objects. As soon as you have a ScriptModule version of your 2024-08-20T21:40:23.5713336Z model for inference deployment it is better to switch to using it in this 2024-08-20T21:40:23.5713915Z benchmark. 2024-08-20T21:40:23.5714065Z 2024-08-20T21:40:23.5714163Z Example:: 2024-08-20T21:40:23.5714319Z 2024-08-20T21:40:23.5714464Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:23.5715063Z >>> from torch.utils import ThroughputBenchmark 2024-08-20T21:40:23.5715566Z >>> bench = ThroughputBenchmark(my_module) 2024-08-20T21:40:23.5716167Z >>> # Pre-populate benchmark's data set with the inputs 2024-08-20T21:40:23.5716661Z >>> for input in inputs: 2024-08-20T21:40:23.5717192Z ... # Both args and kwargs work, same as any PyTorch Module / ScriptModule 2024-08-20T21:40:23.5717843Z ... bench.add_input(input[0], x2=input[1]) 2024-08-20T21:40:23.5718431Z >>> # Inputs supplied above are randomly used during the execution 2024-08-20T21:40:23.5719093Z >>> stats = bench.benchmark( 2024-08-20T21:40:23.5719461Z ... num_calling_threads=4, 2024-08-20T21:40:23.5719846Z ... num_warmup_iters = 100, 2024-08-20T21:40:23.5720225Z ... num_iters = 1000, 2024-08-20T21:40:23.5720538Z ... ) 2024-08-20T21:40:23.5720924Z >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms)) 2024-08-20T21:40:23.5721557Z >>> print("Number of iterations: {}".format(stats.num_iters)) 2024-08-20T21:40:23.5721949Z 2024-08-20T21:40:23.5722350Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.5722846Z 2024-08-20T21:40:23.6533340Z msg = Cannot scrape callname=DistributedSampler in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/distributed.py line=17. 2024-08-20T21:40:23.6534921Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:23.6535721Z Sampler that restricts data loading to a subset of the dataset. 2024-08-20T21:40:23.6536145Z 2024-08-20T21:40:23.6536316Z It is especially useful in conjunction with 2024-08-20T21:40:23.6536992Z :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each 2024-08-20T21:40:23.6537878Z process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a 2024-08-20T21:40:23.6538712Z :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the 2024-08-20T21:40:23.6539361Z original dataset that is exclusive to it. 2024-08-20T21:40:23.6539691Z 2024-08-20T21:40:23.6539802Z .. note:: 2024-08-20T21:40:23.6540308Z Dataset is assumed to be of constant size and that any instance of it always 2024-08-20T21:40:23.6541067Z returns the same elements in the same order. 2024-08-20T21:40:23.6541422Z 2024-08-20T21:40:23.6541519Z Args: 2024-08-20T21:40:23.6541815Z dataset: Dataset used for sampling. 2024-08-20T21:40:23.6542394Z num_replicas (int, optional): Number of processes participating in 2024-08-20T21:40:23.6543174Z distributed training. By default, :attr:`world_size` is retrieved from the 2024-08-20T21:40:23.6543810Z current distributed group. 2024-08-20T21:40:23.6544407Z rank (int, optional): Rank of the current process within :attr:`num_replicas`. 2024-08-20T21:40:23.6545193Z By default, :attr:`rank` is retrieved from the current distributed 2024-08-20T21:40:23.6545739Z group. 2024-08-20T21:40:23.6546208Z shuffle (bool, optional): If ``True`` (default), sampler will shuffle the 2024-08-20T21:40:23.6546786Z indices. 2024-08-20T21:40:23.6547238Z seed (int, optional): random seed used to shuffle the sampler if 2024-08-20T21:40:23.6547931Z :attr:`shuffle=True`. This number should be identical across all 2024-08-20T21:40:23.6548587Z processes in the distributed group. Default: ``0``. 2024-08-20T21:40:23.6549263Z drop_last (bool, optional): if ``True``, then the sampler will drop the 2024-08-20T21:40:23.6550006Z tail of the data to make it evenly divisible across the number of 2024-08-20T21:40:23.6550716Z replicas. If ``False``, the sampler will add extra indices to make 2024-08-20T21:40:23.6551446Z the data evenly divisible across the replicas. Default: ``False``. 2024-08-20T21:40:23.6551895Z 2024-08-20T21:40:23.6552013Z .. warning:: 2024-08-20T21:40:23.6552530Z In distributed mode, calling the :meth:`set_epoch` method at 2024-08-20T21:40:23.6553304Z the beginning of each epoch **before** creating the :class:`DataLoader` iterator 2024-08-20T21:40:23.6554184Z is necessary to make shuffling work properly across multiple epochs. Otherwise, 2024-08-20T21:40:23.6554855Z the same ordering will be always used. 2024-08-20T21:40:23.6555186Z 2024-08-20T21:40:23.6555289Z Example:: 2024-08-20T21:40:23.6555465Z 2024-08-20T21:40:23.6555579Z >>> # xdoctest: +SKIP 2024-08-20T21:40:23.6556112Z >>> sampler = DistributedSampler(dataset) if is_distributed else None 2024-08-20T21:40:23.6556784Z >>> loader = DataLoader(dataset, shuffle=(sampler is None), 2024-08-20T21:40:23.6557329Z ... sampler=sampler) 2024-08-20T21:40:23.6557812Z >>> for epoch in range(start_epoch, n_epochs): 2024-08-20T21:40:23.6558254Z ... if is_distributed: 2024-08-20T21:40:23.6558664Z ... sampler.set_epoch(epoch) 2024-08-20T21:40:23.6559076Z ... train(loader) 2024-08-20T21:40:23.6559386Z 2024-08-20T21:40:23.6559950Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:23.6560440Z 2024-08-20T21:40:24.3131986Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/apis.py line=40. 2024-08-20T21:40:24.3133675Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:24.3134188Z 2024-08-20T21:40:24.3134501Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2024-08-20T21:40:24.3135228Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2024-08-20T21:40:24.3135969Z pushes the map into PyTorch operations called by ``func``, effectively 2024-08-20T21:40:24.3136564Z vectorizing those operations. 2024-08-20T21:40:24.3136808Z 2024-08-20T21:40:24.3137118Z vmap is useful for handling batch dimensions: one can write a function 2024-08-20T21:40:24.3137868Z ``func`` that runs on examples and then lift it to a function that can 2024-08-20T21:40:24.3138597Z take batches of examples with ``vmap(func)``. vmap can also be used to 2024-08-20T21:40:24.3139248Z compute batched gradients when composed with autograd. 2024-08-20T21:40:24.3139633Z 2024-08-20T21:40:24.3139752Z .. note:: 2024-08-20T21:40:24.3140149Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2024-08-20T21:40:24.3140935Z convenience. Use whichever one you'd like. 2024-08-20T21:40:24.3141273Z 2024-08-20T21:40:24.3141363Z Args: 2024-08-20T21:40:24.3141792Z func (function): A Python function that takes one or more arguments. 2024-08-20T21:40:24.3142375Z Must return one or more Tensors. 2024-08-20T21:40:24.3142956Z in_dims (int or nested structure): Specifies which dimension of the 2024-08-20T21:40:24.3143631Z inputs should be mapped over. ``in_dims`` should have a 2024-08-20T21:40:24.3144287Z structure like the inputs. If the ``in_dim`` for a particular 2024-08-20T21:40:24.3144962Z input is None, then that indicates there is no map dimension. 2024-08-20T21:40:24.3145488Z Default: 0. 2024-08-20T21:40:24.3145952Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2024-08-20T21:40:24.3146638Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2024-08-20T21:40:24.3147280Z it should have one element per output. Default: 0. 2024-08-20T21:40:24.3147880Z randomness (str): Specifies whether the randomness in this 2024-08-20T21:40:24.3148643Z vmap should be the same or different across batches. If 'different', 2024-08-20T21:40:24.3149447Z the randomness for each batch will be different. If 'same', the 2024-08-20T21:40:24.3150254Z randomness will be the same across batches. If 'error', any calls to 2024-08-20T21:40:24.3151061Z random functions will error. Default: 'error'. WARNING: this flag 2024-08-20T21:40:24.3151917Z only applies to random PyTorch operations and does not apply to 2024-08-20T21:40:24.3152593Z Python's random module or numpy randomness. 2024-08-20T21:40:24.3153267Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2024-08-20T21:40:24.3154059Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2024-08-20T21:40:24.3154999Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2024-08-20T21:40:24.3155985Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2024-08-20T21:40:24.3156525Z 2024-08-20T21:40:24.3156621Z Returns: 2024-08-20T21:40:24.3157030Z Returns a new "batched" function. It takes the same inputs as 2024-08-20T21:40:24.3157699Z ``func``, except each input has an extra dimension at the index 2024-08-20T21:40:24.3158352Z specified by ``in_dims``. It takes returns the same outputs as 2024-08-20T21:40:24.3159034Z ``func``, except each output has an extra dimension at the index 2024-08-20T21:40:24.3159577Z specified by ``out_dims``. 2024-08-20T21:40:24.3159823Z 2024-08-20T21:40:24.3159920Z .. warning: 2024-08-20T21:40:24.3160425Z :func:`vmap` works best with functional-style code. Please do not 2024-08-20T21:40:24.3161173Z perform any side-effects in ``func``, with the exception of 2024-08-20T21:40:24.3162057Z in-place PyTorch operations. Examples of side-effects include mutating 2024-08-20T21:40:24.3162826Z Python data structures and assigning values to variables not captured 2024-08-20T21:40:24.3163396Z in ``func``. 2024-08-20T21:40:24.3163570Z 2024-08-20T21:40:24.3163916Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2024-08-20T21:40:24.3164762Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2024-08-20T21:40:24.3165521Z rummaging through docs, use :func:`vmap` to construct a new function. 2024-08-20T21:40:24.3165973Z 2024-08-20T21:40:24.3166251Z >>> torch.dot # [D], [D] -> [] 2024-08-20T21:40:24.3166941Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2024-08-20T21:40:24.3167557Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2024-08-20T21:40:24.3168008Z >>> batched_dot(x, y) 2024-08-20T21:40:24.3168221Z 2024-08-20T21:40:24.3168557Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2024-08-20T21:40:24.3169159Z model authoring experience. 2024-08-20T21:40:24.3169404Z 2024-08-20T21:40:24.3169540Z >>> batch_size, feature_size = 3, 5 2024-08-20T21:40:24.3170052Z >>> weights = torch.randn(feature_size, requires_grad=True) 2024-08-20T21:40:24.3170523Z >>> 2024-08-20T21:40:24.3170788Z >>> def model(feature_vec): 2024-08-20T21:40:24.3171219Z >>> # Very simple linear model with activation 2024-08-20T21:40:24.3171709Z >>> return feature_vec.dot(weights).relu() 2024-08-20T21:40:24.3172134Z >>> 2024-08-20T21:40:24.3172477Z >>> examples = torch.randn(batch_size, feature_size) 2024-08-20T21:40:24.3172978Z >>> result = torch.vmap(model)(examples) 2024-08-20T21:40:24.3173301Z 2024-08-20T21:40:24.3173645Z :func:`vmap` can also help vectorize computations that were previously difficult 2024-08-20T21:40:24.3174552Z or impossible to batch. One example is higher-order gradient computation. 2024-08-20T21:40:24.3175395Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2024-08-20T21:40:24.3176242Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2024-08-20T21:40:24.3177058Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2024-08-20T21:40:24.3177876Z we can vectorize the whole computation, computing the Jacobian in a single 2024-08-20T21:40:24.3178484Z call to ``autograd.grad``. 2024-08-20T21:40:24.3178723Z 2024-08-20T21:40:24.3178825Z >>> # Setup 2024-08-20T21:40:24.3179098Z >>> N = 5 2024-08-20T21:40:24.3179364Z >>> f = lambda x: x ** 2 2024-08-20T21:40:24.3179827Z >>> x = torch.randn(N, requires_grad=True) 2024-08-20T21:40:24.3180251Z >>> y = f(x) 2024-08-20T21:40:24.3180608Z >>> I_N = torch.eye(N) 2024-08-20T21:40:24.3180928Z >>> 2024-08-20T21:40:24.3181178Z >>> # Sequential approach 2024-08-20T21:40:24.3181706Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2024-08-20T21:40:24.3182312Z >>> for v in I_N.unbind()] 2024-08-20T21:40:24.3182776Z >>> jacobian = torch.stack(jacobian_rows) 2024-08-20T21:40:24.3183170Z >>> 2024-08-20T21:40:24.3183458Z >>> # vectorized gradient computation 2024-08-20T21:40:24.3183870Z >>> def get_vjp(v): 2024-08-20T21:40:24.3184222Z >>> return torch.autograd.grad(y, x, v) 2024-08-20T21:40:24.3184689Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2024-08-20T21:40:24.3184992Z 2024-08-20T21:40:24.3185378Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2024-08-20T21:40:24.3185913Z 2024-08-20T21:40:24.3186186Z >>> torch.dot # [D], [D] -> [] 2024-08-20T21:40:24.3187021Z >>> batched_dot = torch.vmap(torch.vmap(torch.dot)) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2024-08-20T21:40:24.3187758Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2024-08-20T21:40:24.3188260Z >>> batched_dot(x, y) # tensor of size [2, 3] 2024-08-20T21:40:24.3188661Z 2024-08-20T21:40:24.3188993Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2024-08-20T21:40:24.3189692Z the dimension that each inputs are batched along as 2024-08-20T21:40:24.3190050Z 2024-08-20T21:40:24.3190317Z >>> torch.dot # [N], [N] -> [] 2024-08-20T21:40:24.3191043Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2024-08-20T21:40:24.3191679Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2024-08-20T21:40:24.3192355Z >>> batched_dot(x, y) # output is [5] instead of [2] if batched along the 0th dimension 2024-08-20T21:40:24.3192867Z 2024-08-20T21:40:24.3193222Z If there are multiple inputs each of which is batched along different dimensions, 2024-08-20T21:40:24.3194032Z ``in_dims`` must be a tuple with the batch dimension for each input as 2024-08-20T21:40:24.3194472Z 2024-08-20T21:40:24.3194740Z >>> torch.dot # [D], [D] -> [] 2024-08-20T21:40:24.3195504Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2024-08-20T21:40:24.3196144Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2024-08-20T21:40:24.3196904Z >>> batched_dot(x, y) # second arg doesn't have a batch dim because in_dim[1] was None 2024-08-20T21:40:24.3197420Z 2024-08-20T21:40:24.3197769Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2024-08-20T21:40:24.3198402Z matching the shape of the input: 2024-08-20T21:40:24.3198674Z 2024-08-20T21:40:24.3198920Z >>> f = lambda dict: torch.dot(dict['x'], dict['y']) 2024-08-20T21:40:24.3199433Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2024-08-20T21:40:24.3199903Z >>> input = {'x': x, 'y': y} 2024-08-20T21:40:24.3200460Z >>> batched_dot = torch.vmap(f, in_dims=({'x': 0, 'y': None},)) 2024-08-20T21:40:24.3200981Z >>> batched_dot(input) 2024-08-20T21:40:24.3201202Z 2024-08-20T21:40:24.3201586Z By default, the output is batched along the first dimension. However, it can be batched 2024-08-20T21:40:24.3202297Z along any dimension by using ``out_dims`` 2024-08-20T21:40:24.3202610Z 2024-08-20T21:40:24.3202725Z >>> f = lambda x: x ** 2 2024-08-20T21:40:24.3203077Z >>> x = torch.randn(2, 5) 2024-08-20T21:40:24.3203464Z >>> batched_pow = torch.vmap(f, out_dims=1) 2024-08-20T21:40:24.3203901Z >>> batched_pow(x) # [5, 2] 2024-08-20T21:40:24.3204143Z 2024-08-20T21:40:24.3204555Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2024-08-20T21:40:24.3205224Z accept kwargs 2024-08-20T21:40:24.3205402Z 2024-08-20T21:40:24.3205520Z >>> x = torch.randn([2, 5]) 2024-08-20T21:40:24.3205962Z >>> def fn(x, scale=4.): 2024-08-20T21:40:24.3206296Z >>> return x * scale 2024-08-20T21:40:24.3206613Z >>> 2024-08-20T21:40:24.3206886Z >>> batched_pow = torch.vmap(fn) 2024-08-20T21:40:24.3207329Z >>> assert torch.allclose(batched_pow(x), x * 4) 2024-08-20T21:40:24.3207985Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2024-08-20T21:40:24.3208464Z 2024-08-20T21:40:24.3208581Z .. note:: 2024-08-20T21:40:24.3209093Z vmap does not provide general autobatching or handle variable-length 2024-08-20T21:40:24.3209680Z sequences out of the box. 2024-08-20T21:40:24.3209916Z 2024-08-20T21:40:24.3210332Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:24.3210819Z 2024-08-20T21:40:24.4866136Z msg = Cannot scrape callname=triton_op in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/triton.py line=17. 2024-08-20T21:40:24.4867426Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:24.4868270Z Create a custom operator whose implementation is backed by 1+ triton kernels. 2024-08-20T21:40:24.4868812Z 2024-08-20T21:40:24.4869154Z Use this instead of :func:`torch.library.custom_op` when the implementation 2024-08-20T21:40:24.4869996Z consists of 1+ triton kernels. :func:`torch.library.custom_op` treats 2024-08-20T21:40:24.4870895Z custom operators as opaque (:func:`torch.compile` and 2024-08-20T21:40:24.4871927Z :func:`torch.export.export` will never trace into them), but ``triton_op`` 2024-08-20T21:40:24.4872943Z makes the implementation visible to these subsystems, allowing them 2024-08-20T21:40:24.4873991Z to optimize the triton kernel(s). 2024-08-20T21:40:24.4874292Z 2024-08-20T21:40:24.4874665Z Note that ``fn`` must only consist of calls to PyTorch-understood 2024-08-20T21:40:24.4875401Z operators and triton kernels. Any triton kernels called inside ``fn`` 2024-08-20T21:40:24.4876174Z must be wrapped in a call to :func:`torch._library.capture_triton``. 2024-08-20T21:40:24.4876641Z 2024-08-20T21:40:24.4876735Z Args: 2024-08-20T21:40:24.4877219Z name (str): A name for the custom op that looks like "{namespace}::{name}", 2024-08-20T21:40:24.4878122Z e.g. "mylib::my_linear". The name is used as the op's stable identifier 2024-08-20T21:40:24.4878817Z in PyTorch subsystems (e.g. torch.export, FX graphs). 2024-08-20T21:40:24.4879628Z To avoid name collisions, please use your project name as the namespace; 2024-08-20T21:40:24.4880409Z e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace. 2024-08-20T21:40:24.4881234Z mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates. 2024-08-20T21:40:24.4882109Z This MUST be accurate, otherwise, the behavior is undefined. If "unknown", 2024-08-20T21:40:24.4882963Z it pessimistically assumes that all inputs to the operator are being mutated. 2024-08-20T21:40:24.4883728Z schema (None | str): A schema string for the operator. If None 2024-08-20T21:40:24.4884508Z (recommended) we'll infer a schema for the operator from its type 2024-08-20T21:40:24.4885229Z annotations. We recommend letting us infer a schema unless you 2024-08-20T21:40:24.4885797Z have a specific reason not to. 2024-08-20T21:40:24.4886362Z Example: "(Tensor x, int y) -> (Tensor, Tensor)". 2024-08-20T21:40:24.4886734Z 2024-08-20T21:40:24.4886837Z Example:: 2024-08-20T21:40:24.4886997Z 2024-08-20T21:40:24.4887248Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-08-20T21:40:24.4887694Z >>> import torch 2024-08-20T21:40:24.4888131Z >>> from torch._library import triton_op, capture_triton 2024-08-20T21:40:24.4888607Z >>> 2024-08-20T21:40:24.4888860Z >>> import triton 2024-08-20T21:40:24.4889224Z >>> from triton import language as tl 2024-08-20T21:40:24.4889797Z >>> 2024-08-20T21:40:24.4890043Z >>> @triton.jit 2024-08-20T21:40:24.4890352Z >>> def add_kernel( 2024-08-20T21:40:24.4890676Z >>> in_ptr0, 2024-08-20T21:40:24.4890967Z >>> in_ptr1, 2024-08-20T21:40:24.4891273Z >>> out_ptr, 2024-08-20T21:40:24.4891579Z >>> n_elements, 2024-08-20T21:40:24.4891926Z >>> BLOCK_SIZE: "tl.constexpr", 2024-08-20T21:40:24.4892320Z >>> ): 2024-08-20T21:40:24.4892622Z >>> pid = tl.program_id(axis=0) 2024-08-20T21:40:24.4893056Z >>> block_start = pid * BLOCK_SIZE 2024-08-20T21:40:24.4893560Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2024-08-20T21:40:24.4894064Z >>> mask = offsets < n_elements 2024-08-20T21:40:24.4894519Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2024-08-20T21:40:24.4895021Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2024-08-20T21:40:24.4895466Z >>> output = x + y 2024-08-20T21:40:24.4895890Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2024-08-20T21:40:24.4896345Z >>> 2024-08-20T21:40:24.4896667Z >>> @triton_op("mylib::add", mutates_args={}) 2024-08-20T21:40:24.4897316Z >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor: 2024-08-20T21:40:24.4897878Z >>> output = torch.empty_like(x) 2024-08-20T21:40:24.4898402Z >>> n_elements = output.numel() 2024-08-20T21:40:24.4898786Z >>> 2024-08-20T21:40:24.4899048Z >>> def grid(meta): 2024-08-20T21:40:24.4899519Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2024-08-20T21:40:24.4899997Z >>> 2024-08-20T21:40:24.4900560Z >>> # NB: we need to wrap the triton kernel in a call to capture_triton 2024-08-20T21:40:24.4901295Z >>> capture_triton(add_kernel)[grid](x, y, output, n_elements, 16) 2024-08-20T21:40:24.4901829Z >>> return output 2024-08-20T21:40:24.4902158Z >>> 2024-08-20T21:40:24.4902428Z >>> @torch.compile 2024-08-20T21:40:24.4902740Z >>> def f(x, y): 2024-08-20T21:40:24.4903108Z >>> return add(x, y) 2024-08-20T21:40:24.4903449Z >>> 2024-08-20T21:40:24.4903735Z >>> x = torch.randn(3, device="cuda") 2024-08-20T21:40:24.4904218Z >>> y = torch.randn(3, device="cuda") 2024-08-20T21:40:24.4904623Z >>> 2024-08-20T21:40:24.4904864Z >>> z = f(x, y) 2024-08-20T21:40:24.4905206Z >>> assert torch.allclose(z, x + y) 2024-08-20T21:40:24.4905511Z 2024-08-20T21:40:24.4905613Z 2024-08-20T21:40:24.4906151Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:24.4906652Z 2024-08-20T21:40:24.4907509Z msg = Cannot scrape callname=capture_triton in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/triton.py line=163. 2024-08-20T21:40:24.4908783Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:24.4909540Z Allows capture of a triton kernel into a graph via make_fx or 2024-08-20T21:40:24.4910115Z non-strict export (coming soon). 2024-08-20T21:40:24.4910406Z 2024-08-20T21:40:24.4910701Z These technologies perform Dispatcher-based tracing (via 2024-08-20T21:40:24.4911350Z ``__torch_dispatch__``) and cannot see calls to raw triton kernels. 2024-08-20T21:40:24.4912125Z The ``capture_triton`` API returns a new callable that can actually 2024-08-20T21:40:24.4912708Z be traced into a graph. 2024-08-20T21:40:24.4912947Z 2024-08-20T21:40:24.4913044Z Examples: 2024-08-20T21:40:24.4913202Z 2024-08-20T21:40:24.4913333Z >>> # xdoctest: +SKIP 2024-08-20T21:40:24.4913661Z >>> import torch 2024-08-20T21:40:24.4913975Z >>> import triton 2024-08-20T21:40:24.4914338Z >>> from triton import language as tl 2024-08-20T21:40:24.4914877Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2024-08-20T21:40:24.4915670Z >>> from torch._higher_order_ops.triton_kernel_wrap import capture_triton 2024-08-20T21:40:24.4916235Z >>> 2024-08-20T21:40:24.4916477Z >>> @triton.jit 2024-08-20T21:40:24.4916786Z >>> def add_kernel( 2024-08-20T21:40:24.4917144Z >>> in_ptr0, 2024-08-20T21:40:24.4917434Z >>> in_ptr1, 2024-08-20T21:40:24.4917736Z >>> out_ptr, 2024-08-20T21:40:24.4918044Z >>> n_elements, 2024-08-20T21:40:24.4918385Z >>> BLOCK_SIZE: "tl.constexpr", 2024-08-20T21:40:24.4918804Z >>> ): 2024-08-20T21:40:24.4919106Z >>> pid = tl.program_id(axis=0) 2024-08-20T21:40:24.4919539Z >>> block_start = pid * BLOCK_SIZE 2024-08-20T21:40:24.4920041Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2024-08-20T21:40:24.4920535Z >>> mask = offsets < n_elements 2024-08-20T21:40:24.4920985Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2024-08-20T21:40:24.4921490Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2024-08-20T21:40:24.4921932Z >>> output = x + y 2024-08-20T21:40:24.4922343Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2024-08-20T21:40:24.4922794Z >>> 2024-08-20T21:40:24.4923051Z >>> def add(x, y): 2024-08-20T21:40:24.4923397Z >>> output = torch.empty_like(x) 2024-08-20T21:40:24.4923922Z >>> n_elements = output.numel() 2024-08-20T21:40:24.4924317Z >>> 2024-08-20T21:40:24.4924569Z >>> def grid_fn(meta): 2024-08-20T21:40:24.4925043Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2024-08-20T21:40:24.4925528Z >>> 2024-08-20T21:40:24.4926130Z >>> capture_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16) 2024-08-20T21:40:24.4926686Z >>> return output 2024-08-20T21:40:24.4927011Z >>> 2024-08-20T21:40:24.4927293Z >>> x = torch.randn(3, device="cuda") 2024-08-20T21:40:24.4927745Z >>> y = torch.randn(3, device="cuda") 2024-08-20T21:40:24.4928179Z >>> gm = make_fx(add)(x, y) 2024-08-20T21:40:24.4928538Z >>> print(gm.code) 2024-08-20T21:40:24.4928892Z >>> # def forward(self, x_1, y_1): 2024-08-20T21:40:24.4929511Z >>> # empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False) 2024-08-20T21:40:24.4930292Z >>> # triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation( 2024-08-20T21:40:24.4930943Z >>> # kernel_idx = 0, constant_args_idx = 0, 2024-08-20T21:40:24.4931430Z >>> # grid = [(1, 1, 1)], kwargs = { 2024-08-20T21:40:24.4932075Z >>> # 'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like, 2024-08-20T21:40:24.4932683Z >>> # 'n_elements': 3, 'BLOCK_SIZE': 16 2024-08-20T21:40:24.4933115Z >>> # }) 2024-08-20T21:40:24.4933438Z >>> # return empty_like 2024-08-20T21:40:24.4933697Z 2024-08-20T21:40:24.4933783Z 2024-08-20T21:40:24.4934322Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:24.4934808Z 2024-08-20T21:40:24.5594100Z msg = Cannot scrape callname=assert_almost_equal in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=330. 2024-08-20T21:40:24.5596273Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:24.5597099Z 2024-08-20T21:40:24.5597611Z Raises an AssertionError if two items are not equal up to desired 2024-08-20T21:40:24.5598520Z precision. 2024-08-20T21:40:24.5598807Z 2024-08-20T21:40:24.5599241Z .. note:: It is recommended to use one of `assert_allclose`, 2024-08-20T21:40:24.5600343Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2024-08-20T21:40:24.5601070Z instead of this function for more consistent floating point 2024-08-20T21:40:24.5601596Z comparisons. 2024-08-20T21:40:24.5601790Z 2024-08-20T21:40:24.5602313Z The test verifies that the elements of `actual` and `desired` satisfy. 2024-08-20T21:40:24.5602850Z 2024-08-20T21:40:24.5603273Z ``abs(desired-actual) < float64(1.5 * 10**(-decimal))`` 2024-08-20T21:40:24.5603842Z 2024-08-20T21:40:24.5604298Z That is a looser test than originally documented, but agrees with what the 2024-08-20T21:40:24.5605612Z actual implementation in `assert_array_almost_equal` did up to rounding 2024-08-20T21:40:24.5607083Z vagaries. An exception is raised at conflicting values. For ndarrays this 2024-08-20T21:40:24.5608207Z delegates to assert_array_almost_equal 2024-08-20T21:40:24.5608563Z 2024-08-20T21:40:24.5608662Z Parameters 2024-08-20T21:40:24.5608999Z ---------- 2024-08-20T21:40:24.5609348Z actual : array_like 2024-08-20T21:40:24.5609647Z The object to check. 2024-08-20T21:40:24.5610182Z desired : array_like 2024-08-20T21:40:24.5610667Z The expected object. 2024-08-20T21:40:24.5611263Z decimal : int, optional 2024-08-20T21:40:24.5611836Z Desired precision, default is 7. 2024-08-20T21:40:24.5612541Z err_msg : str, optional 2024-08-20T21:40:24.5613244Z The error message to be printed in case of failure. 2024-08-20T21:40:24.5614069Z verbose : bool, optional 2024-08-20T21:40:24.5614887Z If True, the conflicting values are appended to the error message. 2024-08-20T21:40:24.5615740Z 2024-08-20T21:40:24.5615904Z Raises 2024-08-20T21:40:24.5616312Z ------ 2024-08-20T21:40:24.5616720Z AssertionError 2024-08-20T21:40:24.5617158Z If actual and desired are not equal up to specified precision. 2024-08-20T21:40:24.5617579Z 2024-08-20T21:40:24.5617685Z See Also 2024-08-20T21:40:24.5617937Z -------- 2024-08-20T21:40:24.5618383Z assert_allclose: Compare two array_like objects for equality with desired 2024-08-20T21:40:24.5619022Z relative and/or absolute precision. 2024-08-20T21:40:24.5619600Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-08-20T21:40:24.5620035Z 2024-08-20T21:40:24.5620125Z Examples 2024-08-20T21:40:24.5620385Z -------- 2024-08-20T21:40:24.5620875Z >>> from torch._numpy.testing import assert_almost_equal 2024-08-20T21:40:24.5621408Z >>> assert_almost_equal(2.3333333333333, 2.33333334) 2024-08-20T21:40:24.5621956Z >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10) 2024-08-20T21:40:24.5622461Z Traceback (most recent call last): 2024-08-20T21:40:24.5622825Z ... 2024-08-20T21:40:24.5623075Z AssertionError: 2024-08-20T21:40:24.5623388Z Arrays are not almost equal to 10 decimals 2024-08-20T21:40:24.5623802Z ACTUAL: 2.3333333333333 2024-08-20T21:40:24.5624113Z DESIRED: 2.33333334 2024-08-20T21:40:24.5624299Z 2024-08-20T21:40:24.5624482Z >>> assert_almost_equal(np.array([1.0,2.3333333333333]), 2024-08-20T21:40:24.5624990Z ... np.array([1.0,2.33333334]), decimal=9) 2024-08-20T21:40:24.5625456Z Traceback (most recent call last): 2024-08-20T21:40:24.5625999Z ... 2024-08-20T21:40:24.5626245Z AssertionError: 2024-08-20T21:40:24.5626623Z Arrays are not almost equal to 9 decimals 2024-08-20T21:40:24.5627009Z 2024-08-20T21:40:24.5627294Z Mismatched elements: 1 / 2 (50%) 2024-08-20T21:40:24.5627786Z Max absolute difference: 6.666699636781459e-09 2024-08-20T21:40:24.5628310Z Max relative difference: 2.8571569790287484e-09 2024-08-20T21:40:24.5628807Z x: torch.ndarray([1.0000, 2.3333], dtype=float64) 2024-08-20T21:40:24.5629311Z y: torch.ndarray([1.0000, 2.3333], dtype=float64) 2024-08-20T21:40:24.5629644Z 2024-08-20T21:40:24.5629649Z 2024-08-20T21:40:24.5630057Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:24.5630544Z 2024-08-20T21:40:24.5631425Z msg = Cannot scrape callname=assert_approx_equal in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=455. 2024-08-20T21:40:24.5632743Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:24.5633240Z 2024-08-20T21:40:24.5633542Z Raises an AssertionError if two items are not equal up to significant 2024-08-20T21:40:24.5634082Z digits. 2024-08-20T21:40:24.5634362Z 2024-08-20T21:40:24.5634602Z .. note:: It is recommended to use one of `assert_allclose`, 2024-08-20T21:40:24.5635221Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2024-08-20T21:40:24.5635870Z instead of this function for more consistent floating point 2024-08-20T21:40:24.5636378Z comparisons. 2024-08-20T21:40:24.5636587Z 2024-08-20T21:40:24.5636818Z Given two numbers, check that they are approximately equal. 2024-08-20T21:40:24.5637491Z Approximately equal is defined as the number of significant digits 2024-08-20T21:40:24.5638017Z that agree. 2024-08-20T21:40:24.5638178Z 2024-08-20T21:40:24.5638272Z Parameters 2024-08-20T21:40:24.5638626Z ---------- 2024-08-20T21:40:24.5638874Z actual : scalar 2024-08-20T21:40:24.5639143Z The object to check. 2024-08-20T21:40:24.5639458Z desired : scalar 2024-08-20T21:40:24.5639746Z The expected object. 2024-08-20T21:40:24.5640062Z significant : int, optional 2024-08-20T21:40:24.5640431Z Desired precision, default is 7. 2024-08-20T21:40:24.5640819Z err_msg : str, optional 2024-08-20T21:40:24.5641209Z The error message to be printed in case of failure. 2024-08-20T21:40:24.5641784Z verbose : bool, optional 2024-08-20T21:40:24.5642279Z If True, the conflicting values are appended to the error message. 2024-08-20T21:40:24.5642714Z 2024-08-20T21:40:24.5642904Z Raises 2024-08-20T21:40:24.5653465Z ------ 2024-08-20T21:40:24.5653733Z AssertionError 2024-08-20T21:40:24.5654207Z If actual and desired are not equal up to specified precision. 2024-08-20T21:40:24.5654637Z 2024-08-20T21:40:24.5654741Z See Also 2024-08-20T21:40:24.5654996Z -------- 2024-08-20T21:40:24.5655448Z assert_allclose: Compare two array_like objects for equality with desired 2024-08-20T21:40:24.5656089Z relative and/or absolute precision. 2024-08-20T21:40:24.5656671Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-08-20T21:40:24.5657110Z 2024-08-20T21:40:24.5657202Z Examples 2024-08-20T21:40:24.5657474Z -------- 2024-08-20T21:40:24.5658063Z >>> np.testing.assert_approx_equal(0.12345677777777e-20, 0.1234567e-20) # doctest: +SKIP 2024-08-20T21:40:24.5659012Z >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345671e-20, # doctest: +SKIP 2024-08-20T21:40:24.5659662Z ... significant=8) 2024-08-20T21:40:24.5660384Z >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345672e-20, # doctest: +SKIP 2024-08-20T21:40:24.5661140Z ... significant=8) 2024-08-20T21:40:24.5661583Z Traceback (most recent call last): 2024-08-20T21:40:24.5661949Z ... 2024-08-20T21:40:24.5662182Z AssertionError: 2024-08-20T21:40:24.5662521Z Items are not equal to 8 significant digits: 2024-08-20T21:40:24.5662995Z ACTUAL: 1.234567e-21 2024-08-20T21:40:24.5663323Z DESIRED: 1.2345672e-21 2024-08-20T21:40:24.5663536Z 2024-08-20T21:40:24.5663733Z the evaluated condition that raises the exception is 2024-08-20T21:40:24.5664091Z 2024-08-20T21:40:24.5664412Z >>> abs(0.12345670e-20/1e-21 - 0.12345672e-20/1e-21) >= 10**-(8-1) 2024-08-20T21:40:24.5664882Z True 2024-08-20T21:40:24.5665044Z 2024-08-20T21:40:24.5665050Z 2024-08-20T21:40:24.5665620Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:24.5666196Z 2024-08-20T21:40:24.5667105Z msg = Cannot scrape callname=assert_array_equal in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=734. 2024-08-20T21:40:24.5669393Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:24.5670319Z 2024-08-20T21:40:24.5670809Z Raises an AssertionError if two array_like objects are not equal. 2024-08-20T21:40:24.5671458Z 2024-08-20T21:40:24.5671735Z Given two array_like objects, check that the shape is equal and all 2024-08-20T21:40:24.5672471Z elements of these objects are equal (but see the Notes for the special 2024-08-20T21:40:24.5673194Z handling of a scalar). An exception is raised at shape mismatch or 2024-08-20T21:40:24.5674037Z conflicting values. In contrast to the standard usage in numpy, NaNs 2024-08-20T21:40:24.5674789Z are compared like numbers, no assertion is raised if both objects have 2024-08-20T21:40:24.5675359Z NaNs in the same positions. 2024-08-20T21:40:24.5675610Z 2024-08-20T21:40:24.5675910Z The usual caution for verifying equality with floating point numbers is 2024-08-20T21:40:24.5676478Z advised. 2024-08-20T21:40:24.5676620Z 2024-08-20T21:40:24.5676728Z Parameters 2024-08-20T21:40:24.5676998Z ---------- 2024-08-20T21:40:24.5677238Z x : array_like 2024-08-20T21:40:24.5677518Z The actual object to check. 2024-08-20T21:40:24.5677876Z y : array_like 2024-08-20T21:40:24.5678170Z The desired, expected object. 2024-08-20T21:40:24.5678530Z err_msg : str, optional 2024-08-20T21:40:24.5678936Z The error message to be printed in case of failure. 2024-08-20T21:40:24.5679406Z verbose : bool, optional 2024-08-20T21:40:24.5679891Z If True, the conflicting values are appended to the error message. 2024-08-20T21:40:24.5680443Z strict : bool, optional 2024-08-20T21:40:24.5680931Z If True, raise an AssertionError when either the shape or the data 2024-08-20T21:40:24.5681610Z type of the array_like objects does not match. The special 2024-08-20T21:40:24.5682269Z handling for scalars mentioned in the Notes section is disabled. 2024-08-20T21:40:24.5682793Z 2024-08-20T21:40:24.5682881Z Raises 2024-08-20T21:40:24.5683139Z ------ 2024-08-20T21:40:24.5683365Z AssertionError 2024-08-20T21:40:24.5683708Z If actual and desired objects are not equal. 2024-08-20T21:40:24.5684035Z 2024-08-20T21:40:24.5684140Z See Also 2024-08-20T21:40:24.5684388Z -------- 2024-08-20T21:40:24.5684835Z assert_allclose: Compare two array_like objects for equality with desired 2024-08-20T21:40:24.5685478Z relative and/or absolute precision. 2024-08-20T21:40:24.5686063Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-08-20T21:40:24.5686497Z 2024-08-20T21:40:24.5686592Z Notes 2024-08-20T21:40:24.5686842Z ----- 2024-08-20T21:40:24.5687240Z When one of `x` and `y` is a scalar and the other is array_like, the 2024-08-20T21:40:24.5687970Z function checks that each element of the array_like object is equal to 2024-08-20T21:40:24.5688737Z the scalar. This behaviour can be disabled with the `strict` parameter. 2024-08-20T21:40:24.5689210Z 2024-08-20T21:40:24.5689305Z Examples 2024-08-20T21:40:24.5689568Z -------- 2024-08-20T21:40:24.5689880Z The first assert does not raise an exception: 2024-08-20T21:40:24.5690202Z 2024-08-20T21:40:24.5690400Z >>> np.testing.assert_array_equal([1.0,2.33333,np.nan], 2024-08-20T21:40:24.5690929Z ... [np.exp(0),2.33333, np.nan]) 2024-08-20T21:40:24.5691267Z 2024-08-20T21:40:24.5691575Z Use `assert_allclose` or one of the nulp (number of floating point values) 2024-08-20T21:40:24.5692180Z functions for these cases instead: 2024-08-20T21:40:24.5692445Z 2024-08-20T21:40:24.5692629Z >>> np.testing.assert_allclose([1.0,np.pi,np.nan], 2024-08-20T21:40:24.5693145Z ... [1, np.sqrt(np.pi)**2, np.nan], 2024-08-20T21:40:24.5693686Z ... rtol=1e-10, atol=0) 2024-08-20T21:40:24.5693994Z 2024-08-20T21:40:24.5694267Z As mentioned in the Notes section, `assert_array_equal` has special 2024-08-20T21:40:24.5695020Z handling for scalars. Here the test checks that each value in `x` is 3: 2024-08-20T21:40:24.5695484Z 2024-08-20T21:40:24.5695626Z >>> x = np.full((2, 5), fill_value=3) 2024-08-20T21:40:24.5696033Z >>> np.testing.assert_array_equal(x, 3) 2024-08-20T21:40:24.5696333Z 2024-08-20T21:40:24.5696626Z Use `strict` to raise an AssertionError when comparing a scalar with an 2024-08-20T21:40:24.5697182Z array: 2024-08-20T21:40:24.5697315Z 2024-08-20T21:40:24.5697519Z >>> np.testing.assert_array_equal(x, 3, strict=True) 2024-08-20T21:40:24.5697993Z Traceback (most recent call last): 2024-08-20T21:40:24.5698358Z ... 2024-08-20T21:40:24.5698606Z AssertionError: 2024-08-20T21:40:24.5698969Z Arrays are not equal 2024-08-20T21:40:24.5699271Z 2024-08-20T21:40:24.5699545Z (shapes (2, 5), () mismatch) 2024-08-20T21:40:24.5699887Z x: torch.ndarray([[3, 3, 3, 3, 3], 2024-08-20T21:40:24.5700266Z [3, 3, 3, 3, 3]]) 2024-08-20T21:40:24.5700660Z y: torch.ndarray(3) 2024-08-20T21:40:24.5700866Z 2024-08-20T21:40:24.5701155Z The `strict` parameter also ensures that the array data types match: 2024-08-20T21:40:24.5701614Z 2024-08-20T21:40:24.5701728Z >>> x = np.array([2, 2, 2]) 2024-08-20T21:40:24.5702117Z >>> y = np.array([2., 2., 2.], dtype=np.float32) 2024-08-20T21:40:24.5702618Z >>> np.testing.assert_array_equal(x, y, strict=True) 2024-08-20T21:40:24.5703110Z Traceback (most recent call last): 2024-08-20T21:40:24.5703475Z ... 2024-08-20T21:40:24.5703709Z AssertionError: 2024-08-20T21:40:24.5703992Z Arrays are not equal 2024-08-20T21:40:24.5704284Z 2024-08-20T21:40:24.5704603Z (dtypes dtype("int64"), dtype("float32") mismatch) 2024-08-20T21:40:24.5705073Z x: torch.ndarray([2, 2, 2]) 2024-08-20T21:40:24.5705424Z y: torch.ndarray([2., 2., 2.]) 2024-08-20T21:40:24.5705673Z 2024-08-20T21:40:24.5706096Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:24.5706598Z 2024-08-20T21:40:24.5707519Z msg = Cannot scrape callname=assert_array_almost_equal in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=840. 2024-08-20T21:40:24.5708956Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:24.5709459Z 2024-08-20T21:40:24.5709751Z Raises an AssertionError if two objects are not equal up to desired 2024-08-20T21:40:24.5710288Z precision. 2024-08-20T21:40:24.5710452Z 2024-08-20T21:40:24.5710689Z .. note:: It is recommended to use one of `assert_allclose`, 2024-08-20T21:40:24.5711313Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2024-08-20T21:40:24.5711961Z instead of this function for more consistent floating point 2024-08-20T21:40:24.5712486Z comparisons. 2024-08-20T21:40:24.5712680Z 2024-08-20T21:40:24.5713007Z The test verifies identical shapes and that the elements of ``actual`` and 2024-08-20T21:40:24.5713586Z ``desired`` satisfy. 2024-08-20T21:40:24.5713787Z 2024-08-20T21:40:24.5714010Z ``abs(desired-actual) < 1.5 * 10**(-decimal)`` 2024-08-20T21:40:24.5714338Z 2024-08-20T21:40:24.5714664Z That is a looser test than originally documented, but agrees with what the 2024-08-20T21:40:24.5715454Z actual implementation did up to rounding vagaries. An exception is raised 2024-08-20T21:40:24.5716256Z at shape mismatch or conflicting values. In contrast to the standard usage 2024-08-20T21:40:24.5717047Z in numpy, NaNs are compared like numbers, no assertion is raised if both 2024-08-20T21:40:24.5717663Z objects have NaNs in the same positions. 2024-08-20T21:40:24.5717960Z 2024-08-20T21:40:24.5718056Z Parameters 2024-08-20T21:40:24.5718328Z ---------- 2024-08-20T21:40:24.5718579Z x : array_like 2024-08-20T21:40:24.5718863Z The actual object to check. 2024-08-20T21:40:24.5719217Z y : array_like 2024-08-20T21:40:24.5719513Z The desired, expected object. 2024-08-20T21:40:24.5719874Z decimal : int, optional 2024-08-20T21:40:24.5720218Z Desired precision, default is 6. 2024-08-20T21:40:24.5720608Z err_msg : str, optional 2024-08-20T21:40:24.5721004Z The error message to be printed in case of failure. 2024-08-20T21:40:24.5721474Z verbose : bool, optional 2024-08-20T21:40:24.5721967Z If True, the conflicting values are appended to the error message. 2024-08-20T21:40:24.5722406Z 2024-08-20T21:40:24.5722494Z Raises 2024-08-20T21:40:24.5722749Z ------ 2024-08-20T21:40:24.5722992Z AssertionError 2024-08-20T21:40:24.5723408Z If actual and desired are not equal up to specified precision. 2024-08-20T21:40:24.5723841Z 2024-08-20T21:40:24.5723933Z See Also 2024-08-20T21:40:24.5724195Z -------- 2024-08-20T21:40:24.5724693Z assert_allclose: Compare two array_like objects for equality with desired 2024-08-20T21:40:24.5725336Z relative and/or absolute precision. 2024-08-20T21:40:24.5726202Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-08-20T21:40:24.5726623Z 2024-08-20T21:40:24.5726714Z Examples 2024-08-20T21:40:24.5726987Z -------- 2024-08-20T21:40:24.5727291Z the first assert does not raise an exception 2024-08-20T21:40:24.5727616Z 2024-08-20T21:40:24.5727832Z >>> np.testing.assert_array_almost_equal([1.0,2.333,np.nan], 2024-08-20T21:40:24.5728369Z ... [1.0,2.333,np.nan]) 2024-08-20T21:40:24.5728684Z 2024-08-20T21:40:24.5728921Z >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan], 2024-08-20T21:40:24.5729475Z ... [1.0,2.33339,np.nan], decimal=5) 2024-08-20T21:40:24.5729956Z Traceback (most recent call last): 2024-08-20T21:40:24.5730318Z ... 2024-08-20T21:40:24.5730545Z AssertionError: 2024-08-20T21:40:24.5730869Z Arrays are not almost equal to 5 decimals 2024-08-20T21:40:24.5731276Z 2024-08-20T21:40:24.5731548Z Mismatched elements: 1 / 3 (33.3%) 2024-08-20T21:40:24.5732037Z Max absolute difference: 5.999999999994898e-05 2024-08-20T21:40:24.5732580Z Max relative difference: 2.5713661239633743e-05 2024-08-20T21:40:24.5733112Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2024-08-20T21:40:24.5733807Z y: torch.ndarray([1.0000, 2.3334, nan], dtype=float64) 2024-08-20T21:40:24.5734188Z 2024-08-20T21:40:24.5734413Z >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan], 2024-08-20T21:40:24.5734975Z ... [1.0,2.33333, 5], decimal=5) 2024-08-20T21:40:24.5735436Z Traceback (most recent call last): 2024-08-20T21:40:24.5735796Z ... 2024-08-20T21:40:24.5736044Z AssertionError: 2024-08-20T21:40:24.5736356Z Arrays are not almost equal to 5 decimals 2024-08-20T21:40:24.5736762Z 2024-08-20T21:40:24.5737036Z x and y nan location mismatch: 2024-08-20T21:40:24.5737482Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2024-08-20T21:40:24.5738052Z y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64) 2024-08-20T21:40:24.5738410Z 2024-08-20T21:40:24.5738415Z 2024-08-20T21:40:24.5738825Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:24.5739313Z 2024-08-20T21:40:24.5740277Z msg = Cannot scrape callname=clear_and_catch_warnings in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=1790. 2024-08-20T21:40:24.5741701Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:24.5742480Z Context manager that resets warning registry for catching warnings 2024-08-20T21:40:24.5742912Z 2024-08-20T21:40:24.5743253Z Warnings can be slippery, because, whenever a warning is triggered, Python 2024-08-20T21:40:24.5744043Z adds a ``__warningregistry__`` member to the *calling* module. This makes 2024-08-20T21:40:24.5744819Z it impossible to retrigger the warning in this module, whatever you put in 2024-08-20T21:40:24.5745637Z the warnings filters. This context manager accepts a sequence of `modules` 2024-08-20T21:40:24.5746303Z as a keyword argument to its constructor and: 2024-08-20T21:40:24.5746638Z 2024-08-20T21:40:24.5746942Z * stores and removes any ``__warningregistry__`` entries in given `modules` 2024-08-20T21:40:24.5747526Z on entry; 2024-08-20T21:40:24.5747938Z * resets ``__warningregistry__`` to its previous state on exit. 2024-08-20T21:40:24.5748341Z 2024-08-20T21:40:24.5748648Z This makes it possible to trigger any warning afresh inside the context 2024-08-20T21:40:24.5749346Z manager without disturbing the state of warnings outside. 2024-08-20T21:40:24.5749739Z 2024-08-20T21:40:24.5750055Z For compatibility with Python 3.0, please consider all arguments to be 2024-08-20T21:40:24.5750664Z keyword-only. 2024-08-20T21:40:24.5750841Z 2024-08-20T21:40:24.5750939Z Parameters 2024-08-20T21:40:24.5751356Z ---------- 2024-08-20T21:40:24.5751641Z record : bool, optional 2024-08-20T21:40:24.5752099Z Specifies whether warnings should be captured by a custom 2024-08-20T21:40:24.5752820Z implementation of ``warnings.showwarning()`` and be appended to a list 2024-08-20T21:40:24.5753579Z returned by the context manager. Otherwise None is returned by the 2024-08-20T21:40:24.5754319Z context manager. The objects appended to the list are arguments whose 2024-08-20T21:40:24.5755003Z attributes mirror the arguments to ``showwarning()``. 2024-08-20T21:40:24.5755512Z modules : sequence, optional 2024-08-20T21:40:24.5756057Z Sequence of modules for which to reset warnings registry on entry and 2024-08-20T21:40:24.5756861Z restore on exit. To work correctly, all 'ignore' filters should 2024-08-20T21:40:24.5757429Z filter by one of these modules. 2024-08-20T21:40:24.5757712Z 2024-08-20T21:40:24.5757808Z Examples 2024-08-20T21:40:24.5758089Z -------- 2024-08-20T21:40:24.5758360Z >>> import warnings 2024-08-20T21:40:24.5758806Z >>> with np.testing.clear_and_catch_warnings( # doctest: +SKIP 2024-08-20T21:40:24.5759383Z ... modules=[np.core.fromnumeric]): 2024-08-20T21:40:24.5759904Z ... warnings.simplefilter('always') 2024-08-20T21:40:24.5760560Z ... warnings.filterwarnings('ignore', module='np.core.fromnumeric') 2024-08-20T21:40:24.5761317Z ... # do something that raises a warning but ignore those in 2024-08-20T21:40:24.5761843Z ... # np.core.fromnumeric 2024-08-20T21:40:24.5762178Z 2024-08-20T21:40:24.5762708Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:24.5763209Z 2024-08-20T21:40:24.8035824Z msg = Cannot scrape callname=Conv1d in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py line=355. 2024-08-20T21:40:24.8038231Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:24.8039275Z Applies a 1D convolution over a quantized input signal composed of 2024-08-20T21:40:24.8039880Z several quantized input planes. 2024-08-20T21:40:24.8040168Z 2024-08-20T21:40:24.8040454Z For details on input arguments, parameters, and implementation see 2024-08-20T21:40:24.8041029Z :class:`~torch.nn.Conv1d`. 2024-08-20T21:40:24.8041276Z 2024-08-20T21:40:24.8041390Z .. note:: 2024-08-20T21:40:24.8041818Z Only `zeros` is supported for the :attr:`padding_mode` argument. 2024-08-20T21:40:24.8042246Z 2024-08-20T21:40:24.8042353Z .. note:: 2024-08-20T21:40:24.8042738Z Only `torch.quint8` is supported for the input data type. 2024-08-20T21:40:24.8043144Z 2024-08-20T21:40:24.8043149Z 2024-08-20T21:40:24.8043250Z Attributes: 2024-08-20T21:40:24.8043702Z weight (Tensor): packed tensor derived from the learnable weight 2024-08-20T21:40:24.8044271Z parameter. 2024-08-20T21:40:24.8044726Z scale (Tensor): scalar for the output scale 2024-08-20T21:40:24.8045287Z zero_point (Tensor): scalar for the output zero point 2024-08-20T21:40:24.8045660Z 2024-08-20T21:40:24.8045872Z See :class:`~torch.nn.Conv1d` for other attributes. 2024-08-20T21:40:24.8046226Z 2024-08-20T21:40:24.8046327Z Examples:: 2024-08-20T21:40:24.8046503Z 2024-08-20T21:40:24.8046702Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE) 2024-08-20T21:40:24.8047244Z >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2) 2024-08-20T21:40:24.8047715Z >>> input = torch.randn(20, 16, 100) 2024-08-20T21:40:24.8048149Z >>> # quantize input to quint8 2024-08-20T21:40:24.8048551Z >>> # xdoctest: +SKIP 2024-08-20T21:40:24.8049053Z >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0, 2024-08-20T21:40:24.8049679Z ... dtype=torch.quint8) 2024-08-20T21:40:24.8050144Z >>> output = m(q_input) 2024-08-20T21:40:24.8050384Z 2024-08-20T21:40:24.8050687Z 2024-08-20T21:40:24.8051245Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:24.8051746Z 2024-08-20T21:40:24.8230196Z msg = Cannot scrape callname=LSTM in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/rnn.py line=11. 2024-08-20T21:40:24.8232565Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:24.8233271Z A quantized long short-term memory (LSTM). 2024-08-20T21:40:24.8233621Z 2024-08-20T21:40:24.8233999Z For the description and the argument types, please, refer to :class:`~torch.nn.LSTM` 2024-08-20T21:40:24.8234553Z 2024-08-20T21:40:24.8234654Z Attributes: 2024-08-20T21:40:24.8234985Z layers : instances of the `_LSTMLayer` 2024-08-20T21:40:24.8235299Z 2024-08-20T21:40:24.8235408Z .. note:: 2024-08-20T21:40:24.8235865Z To access the weights and biases, you need to access them per layer. 2024-08-20T21:40:24.8236562Z See examples in :class:`~torch.ao.nn.quantizable.LSTM` 2024-08-20T21:40:24.8236949Z 2024-08-20T21:40:24.8237050Z Examples:: 2024-08-20T21:40:24.8237331Z >>> # xdoctest: +SKIP 2024-08-20T21:40:24.8237692Z >>> custom_module_config = { 2024-08-20T21:40:24.8238200Z ... 'float_to_observed_custom_module_class': { 2024-08-20T21:40:24.8238859Z ... nn.LSTM: nn.quantizable.LSTM, 2024-08-20T21:40:24.8239281Z ... }, 2024-08-20T21:40:24.8239707Z ... 'observed_to_quantized_custom_module_class': { 2024-08-20T21:40:24.8240260Z ... nn.quantizable.LSTM: nn.quantized.LSTM, 2024-08-20T21:40:24.8240713Z ... } 2024-08-20T21:40:24.8240968Z ... } 2024-08-20T21:40:24.8241417Z >>> tq.prepare(model, prepare_custom_module_class=custom_module_config) 2024-08-20T21:40:24.8242158Z >>> tq.convert(model, convert_custom_module_class=custom_module_config) 2024-08-20T21:40:24.8242700Z 2024-08-20T21:40:24.8243230Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:24.8243729Z 2024-08-20T21:40:24.9079317Z msg = Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=227. 2024-08-20T21:40:24.9081025Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:24.9081818Z Squashes the sparse masks into the appropriate tensors. 2024-08-20T21:40:24.9082307Z 2024-08-20T21:40:24.9082598Z If either the `params_to_keep` or `params_to_keep_per_layer` is set, 2024-08-20T21:40:24.9083358Z the module will have a `sparse_params` dict attached to it. 2024-08-20T21:40:24.9083827Z 2024-08-20T21:40:24.9083936Z Args: 2024-08-20T21:40:24.9084396Z params_to_keep: List of keys to save in the module or a dict 2024-08-20T21:40:24.9085096Z representing the modules and keys that will have 2024-08-20T21:40:24.9085665Z sparsity parameters saved 2024-08-20T21:40:24.9086319Z params_to_keep_per_layer: Dict to specify the params that should be 2024-08-20T21:40:24.9087049Z saved for specific layers. The keys in the dict 2024-08-20T21:40:24.9087698Z should be the module fqn, while the values should 2024-08-20T21:40:24.9088372Z be a list of strings with the names of the variables 2024-08-20T21:40:24.9088975Z to save in the `sparse_params` 2024-08-20T21:40:24.9089315Z 2024-08-20T21:40:24.9089416Z Examples: 2024-08-20T21:40:24.9089829Z >>> # xdoctest: +SKIP("locals are undefined") 2024-08-20T21:40:24.9090429Z >>> # Don't save any sparse params 2024-08-20T21:40:24.9090879Z >>> sparsifier.squash_mask() 2024-08-20T21:40:24.9091486Z >>> hasattr(model.submodule1, 'sparse_params') 2024-08-20T21:40:24.9092215Z False 2024-08-20T21:40:24.9092404Z 2024-08-20T21:40:24.9092569Z >>> # Keep sparse params per layer 2024-08-20T21:40:24.9093063Z >>> sparsifier.squash_mask( 2024-08-20T21:40:24.9093537Z ... params_to_keep_per_layer={ 2024-08-20T21:40:24.9094110Z ... 'submodule1.linear1': ('foo', 'bar'), 2024-08-20T21:40:24.9094734Z ... 'submodule2.linear42': ('baz',) 2024-08-20T21:40:24.9095214Z ... }) 2024-08-20T21:40:24.9095630Z >>> print(model.submodule1.linear1.sparse_params) 2024-08-20T21:40:24.9096213Z {'foo': 42, 'bar': 24} 2024-08-20T21:40:24.9096719Z >>> print(model.submodule2.linear42.sparse_params) 2024-08-20T21:40:24.9097289Z {'baz': 0.1} 2024-08-20T21:40:24.9097504Z 2024-08-20T21:40:24.9097664Z >>> # Keep sparse params for all layers 2024-08-20T21:40:24.9098344Z >>> sparsifier.squash_mask(params_to_keep=('foo', 'bar')) 2024-08-20T21:40:24.9098987Z >>> print(model.submodule1.linear1.sparse_params) 2024-08-20T21:40:24.9099576Z {'foo': 42, 'bar': 24} 2024-08-20T21:40:24.9100041Z >>> print(model.submodule2.linear42.sparse_params) 2024-08-20T21:40:24.9100710Z {'foo': 42, 'bar': 24} 2024-08-20T21:40:24.9100981Z 2024-08-20T21:40:24.9101406Z >>> # Keep some sparse params for all layers, and specific ones for 2024-08-20T21:40:24.9102022Z >>> # some other layers 2024-08-20T21:40:24.9102405Z >>> sparsifier.squash_mask( 2024-08-20T21:40:24.9102962Z ... params_to_keep=('foo', 'bar'), 2024-08-20T21:40:24.9103473Z ... params_to_keep_per_layer={ 2024-08-20T21:40:24.9103998Z ... 'submodule2.linear42': ('baz',) 2024-08-20T21:40:24.9104495Z ... }) 2024-08-20T21:40:24.9104951Z >>> print(model.submodule1.linear1.sparse_params) 2024-08-20T21:40:24.9105473Z {'foo': 42, 'bar': 24} 2024-08-20T21:40:24.9105997Z >>> print(model.submodule2.linear42.sparse_params) 2024-08-20T21:40:24.9106626Z {'foo': 42, 'bar': 24, 'baz': 0.1} 2024-08-20T21:40:24.9107013Z 2024-08-20T21:40:24.9107618Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:24.9108163Z 2024-08-20T21:40:24.9839883Z msg = Cannot scrape callname=DTypeConfig in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181. 2024-08-20T21:40:24.9842455Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:24.9842968Z 2024-08-20T21:40:24.9843407Z Config object that specifies the supported data types passed as arguments to 2024-08-20T21:40:24.9844283Z quantize ops in the reference model spec, for input and output activations, 2024-08-20T21:40:24.9844943Z weights, and biases. 2024-08-20T21:40:24.9845139Z 2024-08-20T21:40:24.9845378Z For example, consider the following reference model: 2024-08-20T21:40:24.9845773Z 2024-08-20T21:40:24.9846038Z quant1 - [dequant1 - fp32_linear - quant2] - dequant2 2024-08-20T21:40:24.9846463Z 2024-08-20T21:40:24.9846755Z The pattern in the square brackets refers to the reference pattern of 2024-08-20T21:40:24.9847576Z statically quantized linear. Setting the input dtype as `torch.quint8` 2024-08-20T21:40:24.9848425Z in the DTypeConfig means we pass in `torch.quint8` as the dtype argument 2024-08-20T21:40:24.9849282Z to the first quantize op (quant1). Similarly, setting the output dtype as 2024-08-20T21:40:24.9850110Z `torch.quint8` means we pass in `torch.quint8` as the dtype argument to 2024-08-20T21:40:24.9850712Z the second quantize op (quant2). 2024-08-20T21:40:24.9851013Z 2024-08-20T21:40:24.9851306Z Note that the dtype here does not refer to the interface dtypes of the 2024-08-20T21:40:24.9852112Z op. For example, the "input dtype" here is not the dtype of the input 2024-08-20T21:40:24.9853089Z tensor passed to the quantized linear op. Though it can still be the 2024-08-20T21:40:24.9853877Z same as the interface dtype, this is not always the case, e.g. the 2024-08-20T21:40:24.9854665Z interface dtype is fp32 in dynamic quantization but the "input dtype" 2024-08-20T21:40:24.9855467Z specified in the DTypeConfig would still be quint8. The semantics of 2024-08-20T21:40:24.9856276Z dtypes here are the same as the semantics of the dtypes specified in 2024-08-20T21:40:24.9856834Z the observers. 2024-08-20T21:40:24.9857053Z 2024-08-20T21:40:24.9857369Z These dtypes are matched against the ones specified in the user's 2024-08-20T21:40:24.9858162Z QConfig. If there is a match, and the QConfig satisfies the constraints 2024-08-20T21:40:24.9858964Z specified in the DTypeConfig (if any), then we will quantize the given 2024-08-20T21:40:24.9859782Z pattern using this DTypeConfig. Otherwise, the QConfig is ignored and 2024-08-20T21:40:24.9860519Z the pattern will not be quantized. 2024-08-20T21:40:24.9860848Z 2024-08-20T21:40:24.9860974Z Example usage:: 2024-08-20T21:40:24.9861160Z 2024-08-20T21:40:24.9861282Z >>> # xdoctest: +SKIP(failing) 2024-08-20T21:40:24.9861741Z >>> dtype_config1 = DTypeConfig( 2024-08-20T21:40:24.9862135Z ... input_dtype=torch.quint8, 2024-08-20T21:40:24.9862589Z ... output_dtype=torch.quint8, 2024-08-20T21:40:24.9863049Z ... weight_dtype=torch.qint8, 2024-08-20T21:40:24.9863553Z ... bias_dtype=torch.float) 2024-08-20T21:40:24.9863886Z 2024-08-20T21:40:24.9864016Z >>> dtype_config2 = DTypeConfig( 2024-08-20T21:40:24.9864471Z ... input_dtype=DTypeWithConstraints( 2024-08-20T21:40:24.9864960Z ... dtype=torch.quint8, 2024-08-20T21:40:24.9865393Z ... quant_min_lower_bound=0, 2024-08-20T21:40:24.9865809Z ... quant_max_upper_bound=255, 2024-08-20T21:40:24.9866258Z ... ), 2024-08-20T21:40:24.9866572Z ... output_dtype=DTypeWithConstraints( 2024-08-20T21:40:24.9867070Z ... dtype=torch.quint8, 2024-08-20T21:40:24.9867462Z ... quant_min_lower_bound=0, 2024-08-20T21:40:24.9867918Z ... quant_max_upper_bound=255, 2024-08-20T21:40:24.9868335Z ... ), 2024-08-20T21:40:24.9868682Z ... weight_dtype=DTypeWithConstraints( 2024-08-20T21:40:24.9869164Z ... dtype=torch.qint8, 2024-08-20T21:40:24.9869634Z ... quant_min_lower_bound=-128, 2024-08-20T21:40:24.9870124Z ... quant_max_upper_bound=127, 2024-08-20T21:40:24.9870501Z ... ), 2024-08-20T21:40:24.9870847Z ... bias_dtype=torch.float) 2024-08-20T21:40:24.9871111Z 2024-08-20T21:40:24.9871249Z >>> dtype_config1.input_dtype 2024-08-20T21:40:24.9871655Z torch.quint8 2024-08-20T21:40:24.9871837Z 2024-08-20T21:40:24.9871958Z >>> dtype_config2.input_dtype 2024-08-20T21:40:24.9872368Z torch.quint8 2024-08-20T21:40:24.9872536Z 2024-08-20T21:40:24.9872700Z >>> dtype_config2.input_dtype_with_constraints 2024-08-20T21:40:24.9873848Z DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None) 2024-08-20T21:40:24.9874761Z 2024-08-20T21:40:24.9875204Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:24.9875718Z 2024-08-20T21:40:25.0865739Z msg = Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301. 2024-08-20T21:40:25.0868257Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:25.0868826Z 2024-08-20T21:40:25.0869186Z Takes in optional filter values and generates two tables with desired information. 2024-08-20T21:40:25.0869731Z 2024-08-20T21:40:25.0870075Z The generated tables are presented in both a list-of-lists format 2024-08-20T21:40:25.0870520Z 2024-08-20T21:40:25.0870801Z The reason for the two tables are that they handle different things: 2024-08-20T21:40:25.0871762Z 1.) the first table handles all tensor level information 2024-08-20T21:40:25.0872773Z 2.) the second table handles and displays all channel based information 2024-08-20T21:40:25.0873461Z 2024-08-20T21:40:25.0873921Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2024-08-20T21:40:25.0875222Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2024-08-20T21:40:25.0876892Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2024-08-20T21:40:25.0877564Z 2024-08-20T21:40:25.0877677Z Tensor table columns: 2024-08-20T21:40:25.0878147Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2024-08-20T21:40:25.0878845Z ---- --------- --------- --------- --------- --------- 2024-08-20T21:40:25.0879204Z 2024-08-20T21:40:25.0879362Z Per-Channel table columns: 2024-08-20T21:40:25.0879898Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2024-08-20T21:40:25.0880657Z ---- --------- ------- --------- --------- --------- --------- 2024-08-20T21:40:25.0881032Z 2024-08-20T21:40:25.0881120Z Args: 2024-08-20T21:40:25.0881610Z feature_filter (str, optional): Filters the features presented to only those that 2024-08-20T21:40:25.0882386Z contain this filter substring 2024-08-20T21:40:25.0882873Z Default = "", results in all the features being printed 2024-08-20T21:40:25.0883608Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-08-20T21:40:25.0884471Z Default = "", results in all the modules in the reports to be visible in the table 2024-08-20T21:40:25.0884978Z 2024-08-20T21:40:25.0885123Z Returns a dictionary with two keys: 2024-08-20T21:40:25.0885615Z (Dict[str, Tuple[List, List]]) A dict containing two keys: 2024-08-20T21:40:25.0886157Z "tensor_level_info", "channel_level_info" 2024-08-20T21:40:25.0886605Z Each key maps to a tuple with: 2024-08-20T21:40:25.0887034Z A list of the headers of each table 2024-08-20T21:40:25.0887596Z A list of lists containing the table information row by row 2024-08-20T21:40:25.0888249Z The 0th index row will contain the headers of the columns 2024-08-20T21:40:25.0888806Z The rest of the rows will contain data 2024-08-20T21:40:25.0889142Z 2024-08-20T21:40:25.0889241Z Example Use: 2024-08-20T21:40:25.0889568Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:25.0890080Z >>> mod_report_visualizer.generate_filtered_tables( 2024-08-20T21:40:25.0890595Z ... feature_filter = "per_channel_min", 2024-08-20T21:40:25.0891042Z ... module_fqn_filter = "block1" 2024-08-20T21:40:25.0891687Z ... ) # generates table with per_channel_min info for all modules in block 1 of the model 2024-08-20T21:40:25.0892231Z 2024-08-20T21:40:25.0892639Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:25.0893138Z 2024-08-20T21:40:25.0894501Z msg = Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=400. 2024-08-20T21:40:25.0896236Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:25.0896742Z 2024-08-20T21:40:25.0897107Z Takes in optional filter values and prints out formatted tables of the information. 2024-08-20T21:40:25.0897650Z 2024-08-20T21:40:25.0898134Z The reason for the two tables printed out instead of one large one are that they handle different things: 2024-08-20T21:40:25.0899006Z 1.) the first table handles all tensor level information 2024-08-20T21:40:25.0899672Z 2.) the second table handles and displays all channel based information 2024-08-20T21:40:25.0900127Z 2024-08-20T21:40:25.0900764Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2024-08-20T21:40:25.0901956Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2024-08-20T21:40:25.0903076Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2024-08-20T21:40:25.0903734Z 2024-08-20T21:40:25.0903858Z Tensor table columns: 2024-08-20T21:40:25.0904306Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2024-08-20T21:40:25.0904981Z ---- --------- --------- --------- --------- --------- 2024-08-20T21:40:25.0905330Z 2024-08-20T21:40:25.0905497Z Per-Channel table columns: 2024-08-20T21:40:25.0905723Z 2024-08-20T21:40:25.0906025Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2024-08-20T21:40:25.0906761Z ---- --------- ------- --------- --------- --------- --------- 2024-08-20T21:40:25.0907128Z 2024-08-20T21:40:25.0907228Z Args: 2024-08-20T21:40:25.0907710Z feature_filter (str, optional): Filters the features presented to only those that 2024-08-20T21:40:25.0908365Z contain this filter substring 2024-08-20T21:40:25.0908854Z Default = "", results in all the features being printed 2024-08-20T21:40:25.0909571Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-08-20T21:40:25.0910517Z Default = "", results in all the modules in the reports to be visible in the table 2024-08-20T21:40:25.0911034Z 2024-08-20T21:40:25.0911133Z Example Use: 2024-08-20T21:40:25.0911465Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:25.0911995Z >>> mod_report_visualizer.generate_table_visualization( 2024-08-20T21:40:25.0912532Z ... feature_filter = "per_channel_min", 2024-08-20T21:40:25.0912986Z ... module_fqn_filter = "block1" 2024-08-20T21:40:25.0913355Z ... ) 2024-08-20T21:40:25.0913752Z >>> # prints out neatly formatted table with per_channel_min info 2024-08-20T21:40:25.0914333Z >>> # for all modules in block 1 of the model 2024-08-20T21:40:25.0914655Z 2024-08-20T21:40:25.0915055Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:25.0915554Z 2024-08-20T21:40:25.0916949Z msg = Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=565. 2024-08-20T21:40:25.0918702Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:25.0919216Z 2024-08-20T21:40:25.0919544Z Takes in a feature and optional module_filter and plots of the desired data. 2024-08-20T21:40:25.0920036Z 2024-08-20T21:40:25.0920424Z For per channel features, it averages the value across the channels and plots a point 2024-08-20T21:40:25.0921323Z per module. The reason for this is that for models with hundreds of channels, it can 2024-08-20T21:40:25.0922240Z be hard to differentiate one channel line from another, and so the point of generating 2024-08-20T21:40:25.0923160Z a single average point per module is to give a sense of general trends that encourage 2024-08-20T21:40:25.0923806Z further deep dives. 2024-08-20T21:40:25.0924004Z 2024-08-20T21:40:25.0924092Z Note: 2024-08-20T21:40:25.0924602Z Only features in the report that have tensor value data are plottable by this class 2024-08-20T21:40:25.0925360Z When the tensor information is plotted, it will plot: 2024-08-20T21:40:25.0926230Z idx as the x val, feature value as the y_val 2024-08-20T21:40:25.0926853Z When the channel information is plotted, it will plot: 2024-08-20T21:40:25.0927627Z the first idx of each module as the x val, feature value as the y_val [for each channel] 2024-08-20T21:40:25.0928508Z The reason for this is that we want to be able to compare values across the 2024-08-20T21:40:25.0929345Z channels for same layer, and it will be hard if values are staggered by idx 2024-08-20T21:40:25.0930186Z This means each module is represented by only 1 x value 2024-08-20T21:40:25.0930660Z Args: 2024-08-20T21:40:25.0931102Z feature_filter (str): Filters the features presented to only those that 2024-08-20T21:40:25.0931707Z contain this filter substring 2024-08-20T21:40:25.0932321Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-08-20T21:40:25.0933189Z Default = "", results in all the modules in the reports to be visible in the table 2024-08-20T21:40:25.0933713Z 2024-08-20T21:40:25.0933813Z Example Use: 2024-08-20T21:40:25.0934127Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:25.0934663Z >>> mod_report_visualizer.generate_plot_visualization( 2024-08-20T21:40:25.0935191Z ... feature_filter = "per_channel_min", 2024-08-20T21:40:25.0935640Z ... module_fqn_filter = "block1" 2024-08-20T21:40:25.0936007Z ... ) 2024-08-20T21:40:25.0936392Z >>> # outputs line plot of per_channel_min information for all 2024-08-20T21:40:25.0937149Z >>> # modules in block1 of model each channel gets it's own line, 2024-08-20T21:40:25.0937867Z >>> # and it's plotted across the in-order modules on the x-axis 2024-08-20T21:40:25.0938290Z 2024-08-20T21:40:25.0938688Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:25.0939252Z 2024-08-20T21:40:25.0940731Z msg = Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=645. 2024-08-20T21:40:25.0942496Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:25.0942999Z 2024-08-20T21:40:25.0943378Z Takes in a feature and optional module_filter and plots the histogram of desired data. 2024-08-20T21:40:25.0943937Z 2024-08-20T21:40:25.0944026Z Note: 2024-08-20T21:40:25.0944547Z Only features in the report that have tensor value data can be viewed as a histogram 2024-08-20T21:40:25.0945454Z If you want to plot a histogram from all the channel values of a specific feature for 2024-08-20T21:40:25.0946347Z a specific model, make sure to specify both the model and the feature properly 2024-08-20T21:40:25.0947211Z in the filters and you should be able to see a distribution of the channel data 2024-08-20T21:40:25.0947729Z 2024-08-20T21:40:25.0947829Z Args: 2024-08-20T21:40:25.0948300Z feature_filter (str, optional): Filters the features presented to only those that 2024-08-20T21:40:25.0948950Z contain this filter substring 2024-08-20T21:40:25.0949446Z Default = "", results in all the features being printed 2024-08-20T21:40:25.0950159Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-08-20T21:40:25.0951017Z Default = "", results in all the modules in the reports to be visible in the table 2024-08-20T21:40:25.0951840Z num_bins (int, optional): The number of bins to create the histogram with 2024-08-20T21:40:25.0952561Z Default = 10, the values will be split into 10 equal sized bins 2024-08-20T21:40:25.0952991Z 2024-08-20T21:40:25.0953089Z Example Use: 2024-08-20T21:40:25.0953368Z >>> # xdoctest: +SKIP 2024-08-20T21:40:25.0953959Z >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization( 2024-08-20T21:40:25.0954670Z ... feature_filter = "per_channel_min", 2024-08-20T21:40:25.0955117Z ... module_fqn_filter = "block1" 2024-08-20T21:40:25.0955480Z ... ) 2024-08-20T21:40:25.0955992Z # outputs histogram of per_channel_min information for all modules in block1 of model 2024-08-20T21:40:25.0956872Z information is gathered across all channels for all modules in block 1 for the 2024-08-20T21:40:25.0957687Z per_channel_min and is displayed in a histogram of equally sized bins 2024-08-20T21:40:25.0958148Z 2024-08-20T21:40:25.0958611Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:25.0959114Z 2024-08-20T21:40:25.3467552Z msg = Cannot scrape callname=MixtureSameFamily in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/mixture_same_family.py line=13. 2024-08-20T21:40:25.3469040Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:25.3469568Z 2024-08-20T21:40:25.3469870Z The `MixtureSameFamily` distribution implements a (batch of) mixture 2024-08-20T21:40:25.3470632Z distribution where all component are from different parameterizations of 2024-08-20T21:40:25.3471396Z the same distribution type. It is parameterized by a `Categorical` 2024-08-20T21:40:25.3472089Z "selecting distribution" (over `k` component) and a component 2024-08-20T21:40:25.3472757Z distribution, i.e., a `Distribution` with a rightmost batch shape 2024-08-20T21:40:25.3473406Z (equal to `[k]`) which indexes each (batch of) component. 2024-08-20T21:40:25.3473787Z 2024-08-20T21:40:25.3473915Z Examples:: 2024-08-20T21:40:25.3474065Z 2024-08-20T21:40:25.3474222Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:25.3474791Z >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally 2024-08-20T21:40:25.3475360Z >>> # weighted normal distributions 2024-08-20T21:40:25.3475828Z >>> mix = D.Categorical(torch.ones(5,)) 2024-08-20T21:40:25.3476560Z >>> comp = D.Normal(torch.randn(5,), torch.rand(5,)) 2024-08-20T21:40:25.3477065Z >>> gmm = MixtureSameFamily(mix, comp) 2024-08-20T21:40:25.3477367Z 2024-08-20T21:40:25.3477648Z >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally 2024-08-20T21:40:25.3478240Z >>> # weighted bivariate normal distributions 2024-08-20T21:40:25.3478714Z >>> mix = D.Categorical(torch.ones(5,)) 2024-08-20T21:40:25.3479152Z >>> comp = D.Independent(D.Normal( 2024-08-20T21:40:25.3479595Z ... torch.randn(5,2), torch.rand(5,2)), 1) 2024-08-20T21:40:25.3480080Z >>> gmm = MixtureSameFamily(mix, comp) 2024-08-20T21:40:25.3480383Z 2024-08-20T21:40:25.3480634Z >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each 2024-08-20T21:40:25.3481362Z >>> # consisting of 5 random weighted bivariate normal distributions 2024-08-20T21:40:25.3481935Z >>> mix = D.Categorical(torch.rand(3,5)) 2024-08-20T21:40:25.3482386Z >>> comp = D.Independent(D.Normal( 2024-08-20T21:40:25.3482850Z ... torch.randn(3,5,2), torch.rand(3,5,2)), 1) 2024-08-20T21:40:25.3483324Z >>> gmm = MixtureSameFamily(mix, comp) 2024-08-20T21:40:25.3483638Z 2024-08-20T21:40:25.3483727Z Args: 2024-08-20T21:40:25.3484210Z mixture_distribution: `torch.distributions.Categorical`-like 2024-08-20T21:40:25.3484865Z instance. Manages the probability of selecting component. 2024-08-20T21:40:25.3485494Z The number of categories must match the rightmost batch 2024-08-20T21:40:25.3486131Z dimension of the `component_distribution`. Must have either 2024-08-20T21:40:25.3486716Z scalar `batch_shape` or `batch_shape` matching 2024-08-20T21:40:25.3487298Z `component_distribution.batch_shape[:-1]` 2024-08-20T21:40:25.3487975Z component_distribution: `torch.distributions.Distribution`-like 2024-08-20T21:40:25.3488701Z instance. Right-most batch dimension indexes component. 2024-08-20T21:40:25.3489111Z 2024-08-20T21:40:25.3489508Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:25.3490007Z 2024-08-20T21:40:25.3580238Z msg = Cannot scrape callname=RelaxedBernoulli in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/relaxed_bernoulli.py line=111. 2024-08-20T21:40:25.3581738Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:25.3582264Z 2024-08-20T21:40:25.3582508Z Creates a RelaxedBernoulli distribution, parametrized by 2024-08-20T21:40:25.3583133Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits` 2024-08-20T21:40:25.3584080Z (but not both). This is a relaxed version of the `Bernoulli` distribution, 2024-08-20T21:40:25.3584820Z so the values are in (0, 1), and has reparametrizable samples. 2024-08-20T21:40:25.3585233Z 2024-08-20T21:40:25.3585343Z Example:: 2024-08-20T21:40:25.3585505Z 2024-08-20T21:40:25.3585758Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-08-20T21:40:25.3586279Z >>> m = RelaxedBernoulli(torch.tensor([2.2]), 2024-08-20T21:40:25.3586769Z ... torch.tensor([0.1, 0.2, 0.3, 0.99])) 2024-08-20T21:40:25.3587214Z >>> m.sample() 2024-08-20T21:40:25.3587537Z tensor([ 0.2951, 0.3442, 0.8918, 0.9021]) 2024-08-20T21:40:25.3587845Z 2024-08-20T21:40:25.3587934Z Args: 2024-08-20T21:40:25.3588243Z temperature (Tensor): relaxation temperature 2024-08-20T21:40:25.3588797Z probs (Number, Tensor): the probability of sampling `1` 2024-08-20T21:40:25.3589439Z logits (Number, Tensor): the log-odds of sampling `1` 2024-08-20T21:40:25.3589814Z 2024-08-20T21:40:25.3590216Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:25.3590715Z 2024-08-20T21:40:25.3594942Z msg = Cannot scrape callname=RelaxedOneHotCategorical in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/relaxed_categorical.py line=99. 2024-08-20T21:40:25.3596425Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:25.3597090Z 2024-08-20T21:40:25.3597384Z Creates a RelaxedOneHotCategorical distribution parametrized by 2024-08-20T21:40:25.3598065Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`. 2024-08-20T21:40:25.3598813Z This is a relaxed version of the :class:`OneHotCategorical` distribution, so 2024-08-20T21:40:25.3599515Z its samples are on simplex, and are reparametrizable. 2024-08-20T21:40:25.3599885Z 2024-08-20T21:40:25.3599989Z Example:: 2024-08-20T21:40:25.3600147Z 2024-08-20T21:40:25.3600390Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-08-20T21:40:25.3600946Z >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]), 2024-08-20T21:40:25.3601481Z ... torch.tensor([0.1, 0.2, 0.3, 0.4])) 2024-08-20T21:40:25.3601932Z >>> m.sample() 2024-08-20T21:40:25.3602259Z tensor([ 0.1294, 0.2324, 0.3859, 0.2523]) 2024-08-20T21:40:25.3602560Z 2024-08-20T21:40:25.3602655Z Args: 2024-08-20T21:40:25.3602964Z temperature (Tensor): relaxation temperature 2024-08-20T21:40:25.3603436Z probs (Tensor): event probabilities 2024-08-20T21:40:25.3603961Z logits (Tensor): unnormalized log probability for each event 2024-08-20T21:40:25.3604379Z 2024-08-20T21:40:25.3604776Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:25.3605273Z 2024-08-20T21:40:25.8738769Z msg = Cannot scrape callname=assert_close in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_comparison.py line=1274. 2024-08-20T21:40:25.8740577Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:25.8741271Z Asserts that ``actual`` and ``expected`` are close. 2024-08-20T21:40:25.8741728Z 2024-08-20T21:40:25.8742442Z If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if 2024-08-20T21:40:25.8743114Z 2024-08-20T21:40:25.8743248Z .. math:: 2024-08-20T21:40:25.8743423Z 2024-08-20T21:40:25.8744075Z \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert 2024-08-20T21:40:25.8744792Z 2024-08-20T21:40:25.8745371Z Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are 2024-08-20T21:40:25.8746294Z only considered equal to each other if ``equal_nan`` is ``True``. 2024-08-20T21:40:25.8746726Z 2024-08-20T21:40:25.8746999Z In addition, they are only considered close if they have the same 2024-08-20T21:40:25.8747445Z 2024-08-20T21:40:25.8748014Z - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``), 2024-08-20T21:40:25.8748665Z - ``dtype`` (if ``check_dtype`` is ``True``), 2024-08-20T21:40:25.8749230Z - ``layout`` (if ``check_layout`` is ``True``), and 2024-08-20T21:40:25.8749772Z - stride (if ``check_stride`` is ``True``). 2024-08-20T21:40:25.8750100Z 2024-08-20T21:40:25.8750534Z If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed. 2024-08-20T21:40:25.8751127Z 2024-08-20T21:40:25.8751661Z If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are 2024-08-20T21:40:25.8752855Z checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR, 2024-08-20T21:40:25.8753833Z or ``ccol_indices`` and ``row_indices`` for CSC and BSC layouts, respectively, 2024-08-20T21:40:25.8754884Z are always checked for equality whereas the values are checked for closeness according to the definition above. 2024-08-20T21:40:25.8755593Z 2024-08-20T21:40:25.8756001Z If ``actual`` and ``expected`` are quantized, they are considered close if they have the same 2024-08-20T21:40:25.8757048Z :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the 2024-08-20T21:40:25.8757815Z definition above. 2024-08-20T21:40:25.8758117Z 2024-08-20T21:40:25.8758666Z ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which 2024-08-20T21:40:25.8759902Z :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types 2024-08-20T21:40:25.8761148Z have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s 2024-08-20T21:40:25.8762471Z or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all 2024-08-20T21:40:25.8763482Z their elements are considered close according to the above definition. 2024-08-20T21:40:25.8763953Z 2024-08-20T21:40:25.8764053Z .. note:: 2024-08-20T21:40:25.8764221Z 2024-08-20T21:40:25.8764682Z Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e. 2024-08-20T21:40:25.8765862Z :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus, 2024-08-20T21:40:25.8766867Z Python scalars of different types can be checked, but require ``check_dtype=False``. 2024-08-20T21:40:25.8767411Z 2024-08-20T21:40:25.8767503Z Args: 2024-08-20T21:40:25.8767778Z actual (Any): Actual input. 2024-08-20T21:40:25.8768189Z expected (Any): Expected input. 2024-08-20T21:40:25.8768959Z allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types 2024-08-20T21:40:25.8769823Z are allowed. Otherwise type equality is required. 2024-08-20T21:40:25.8770700Z rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default 2024-08-20T21:40:25.8771717Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2024-08-20T21:40:25.8772752Z atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default 2024-08-20T21:40:25.8773785Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2024-08-20T21:40:25.8774715Z equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal. 2024-08-20T21:40:25.8775624Z check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same 2024-08-20T21:40:25.8776534Z :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different 2024-08-20T21:40:25.8777446Z :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared. 2024-08-20T21:40:25.8778483Z check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this 2024-08-20T21:40:25.8779713Z check is disabled, tensors with different ``dtype``'s are promoted to a common ``dtype`` (according to 2024-08-20T21:40:25.8780652Z :func:`torch.promote_types`) before being compared. 2024-08-20T21:40:25.8781534Z check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this 2024-08-20T21:40:25.8782737Z check is disabled, tensors with different ``layout``'s are converted to strided tensors before being 2024-08-20T21:40:25.8783470Z compared. 2024-08-20T21:40:25.8784167Z check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride. 2024-08-20T21:40:25.8785371Z msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during 2024-08-20T21:40:25.8786542Z the comparison. Can also passed as callable in which case it will be called with the generated message and 2024-08-20T21:40:25.8787350Z should return the new message. 2024-08-20T21:40:25.8787648Z 2024-08-20T21:40:25.8787754Z Raises: 2024-08-20T21:40:25.8788210Z ValueError: If no :class:`torch.Tensor` can be constructed from an input. 2024-08-20T21:40:25.8788981Z ValueError: If only ``rtol`` or ``atol`` is specified. 2024-08-20T21:40:25.8789792Z AssertionError: If corresponding inputs are not Python scalars and are not directly related. 2024-08-20T21:40:25.8790864Z AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have 2024-08-20T21:40:25.8791631Z different types. 2024-08-20T21:40:25.8792467Z AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match. 2024-08-20T21:40:25.8793746Z AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match. 2024-08-20T21:40:25.8794810Z AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`. 2024-08-20T21:40:25.8795799Z AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same 2024-08-20T21:40:25.8796515Z :attr:`~torch.Tensor.layout`. 2024-08-20T21:40:25.8797088Z AssertionError: If only one of corresponding tensors is quantized. 2024-08-20T21:40:25.8798155Z AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s. 2024-08-20T21:40:25.8799235Z AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same 2024-08-20T21:40:25.8799932Z :attr:`~torch.Tensor.device`. 2024-08-20T21:40:25.8800685Z AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``. 2024-08-20T21:40:25.8801795Z AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride. 2024-08-20T21:40:25.8802935Z AssertionError: If the values of corresponding tensors are not close according to the definition above. 2024-08-20T21:40:25.8803582Z 2024-08-20T21:40:25.8804189Z The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching 2024-08-20T21:40:25.8805117Z ``dtype``'s, the maximum of both tolerances is used. 2024-08-20T21:40:25.8805473Z 2024-08-20T21:40:25.8805698Z +---------------------------+------------+----------+ 2024-08-20T21:40:25.8806195Z | ``dtype`` | ``rtol`` | ``atol`` | 2024-08-20T21:40:25.8806662Z +===========================+============+==========+ 2024-08-20T21:40:25.8807229Z | :attr:`~torch.float16` | ``1e-3`` | ``1e-5`` | 2024-08-20T21:40:25.8807788Z +---------------------------+------------+----------+ 2024-08-20T21:40:25.8808424Z | :attr:`~torch.bfloat16` | ``1.6e-2`` | ``1e-5`` | 2024-08-20T21:40:25.8808986Z +---------------------------+------------+----------+ 2024-08-20T21:40:25.8809548Z | :attr:`~torch.float32` | ``1.3e-6`` | ``1e-5`` | 2024-08-20T21:40:25.8810091Z +---------------------------+------------+----------+ 2024-08-20T21:40:25.8810659Z | :attr:`~torch.float64` | ``1e-7`` | ``1e-7`` | 2024-08-20T21:40:25.8811217Z +---------------------------+------------+----------+ 2024-08-20T21:40:25.8811763Z | :attr:`~torch.complex32` | ``1e-3`` | ``1e-5`` | 2024-08-20T21:40:25.8812344Z +---------------------------+------------+----------+ 2024-08-20T21:40:25.8812902Z | :attr:`~torch.complex64` | ``1.3e-6`` | ``1e-5`` | 2024-08-20T21:40:25.8813440Z +---------------------------+------------+----------+ 2024-08-20T21:40:25.8813999Z | :attr:`~torch.complex128` | ``1e-7`` | ``1e-7`` | 2024-08-20T21:40:25.8814557Z +---------------------------+------------+----------+ 2024-08-20T21:40:25.8815108Z | :attr:`~torch.quint8` | ``1.3e-6`` | ``1e-5`` | 2024-08-20T21:40:25.8815658Z +---------------------------+------------+----------+ 2024-08-20T21:40:25.8816213Z | :attr:`~torch.quint2x4` | ``1.3e-6`` | ``1e-5`` | 2024-08-20T21:40:25.8816765Z +---------------------------+------------+----------+ 2024-08-20T21:40:25.8817375Z | :attr:`~torch.quint4x2` | ``1.3e-6`` | ``1e-5`` | 2024-08-20T21:40:25.8817926Z +---------------------------+------------+----------+ 2024-08-20T21:40:25.8818481Z | :attr:`~torch.qint8` | ``1.3e-6`` | ``1e-5`` | 2024-08-20T21:40:25.8819015Z +---------------------------+------------+----------+ 2024-08-20T21:40:25.8819570Z | :attr:`~torch.qint32` | ``1.3e-6`` | ``1e-5`` | 2024-08-20T21:40:25.8820124Z +---------------------------+------------+----------+ 2024-08-20T21:40:25.8820690Z | other | ``0.0`` | ``0.0`` | 2024-08-20T21:40:25.8821240Z +---------------------------+------------+----------+ 2024-08-20T21:40:25.8821555Z 2024-08-20T21:40:25.8821678Z .. note:: 2024-08-20T21:40:25.8821836Z 2024-08-20T21:40:25.8822359Z :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged 2024-08-20T21:40:25.8823558Z to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might 2024-08-20T21:40:25.8824594Z define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default: 2024-08-20T21:40:25.8825121Z 2024-08-20T21:40:25.8825245Z >>> import functools 2024-08-20T21:40:25.8826013Z >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0) 2024-08-20T21:40:25.8826725Z >>> assert_equal(1e-9, 1e-10) 2024-08-20T21:40:25.8827147Z Traceback (most recent call last): 2024-08-20T21:40:25.8827538Z ... 2024-08-20T21:40:25.8827854Z AssertionError: Scalars are not equal! 2024-08-20T21:40:25.8828283Z 2024-08-20T21:40:25.8828634Z Expected 1e-10 but got 1e-09. 2024-08-20T21:40:25.8829133Z Absolute difference: 9.000000000000001e-10 2024-08-20T21:40:25.8829584Z Relative difference: 9.0 2024-08-20T21:40:25.8829835Z 2024-08-20T21:40:25.8829932Z Examples: 2024-08-20T21:40:25.8830232Z >>> # tensor to tensor comparison 2024-08-20T21:40:25.8830794Z >>> expected = torch.tensor([1e0, 1e-1, 1e-2]) 2024-08-20T21:40:25.8831314Z >>> actual = torch.acos(torch.cos(expected)) 2024-08-20T21:40:25.8831822Z >>> torch.testing.assert_close(actual, expected) 2024-08-20T21:40:25.8832179Z 2024-08-20T21:40:25.8832313Z >>> # scalar to scalar comparison 2024-08-20T21:40:25.8832772Z >>> import math 2024-08-20T21:40:25.8833089Z >>> expected = math.sqrt(2.0) 2024-08-20T21:40:25.8833496Z >>> actual = 2.0 / math.sqrt(2.0) 2024-08-20T21:40:25.8833969Z >>> torch.testing.assert_close(actual, expected) 2024-08-20T21:40:25.8834448Z 2024-08-20T21:40:25.8834610Z >>> # numpy array to numpy array comparison 2024-08-20T21:40:25.8835059Z >>> import numpy as np 2024-08-20T21:40:25.8835514Z >>> expected = np.array([1e0, 1e-1, 1e-2]) 2024-08-20T21:40:25.8835991Z >>> actual = np.arccos(np.cos(expected)) 2024-08-20T21:40:25.8836482Z >>> torch.testing.assert_close(actual, expected) 2024-08-20T21:40:25.8836846Z 2024-08-20T21:40:25.8836993Z >>> # sequence to sequence comparison 2024-08-20T21:40:25.8837419Z >>> import numpy as np 2024-08-20T21:40:25.8838008Z >>> # The types of the sequences do not have to match. They only have to have the same 2024-08-20T21:40:25.8838713Z >>> # length and their elements have to match. 2024-08-20T21:40:25.8839254Z >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)] 2024-08-20T21:40:25.8839736Z >>> actual = tuple(expected) 2024-08-20T21:40:25.8840199Z >>> torch.testing.assert_close(actual, expected) 2024-08-20T21:40:25.8840548Z 2024-08-20T21:40:25.8840702Z >>> # mapping to mapping comparison 2024-08-20T21:40:25.8841154Z >>> from collections import OrderedDict 2024-08-20T21:40:25.8841586Z >>> import numpy as np 2024-08-20T21:40:25.8841949Z >>> foo = torch.tensor(1.0) 2024-08-20T21:40:25.8842303Z >>> bar = 2.0 2024-08-20T21:40:25.8842708Z >>> baz = np.array(3.0) 2024-08-20T21:40:25.8843312Z >>> # The types and a possible ordering of mappings do not have to match. They only 2024-08-20T21:40:25.8844111Z >>> # have to have the same set of keys and their elements have to match. 2024-08-20T21:40:25.8844854Z >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)]) 2024-08-20T21:40:25.8845473Z >>> actual = {"baz": baz, "bar": bar, "foo": foo} 2024-08-20T21:40:25.8846011Z >>> torch.testing.assert_close(actual, expected) 2024-08-20T21:40:25.8846357Z 2024-08-20T21:40:25.8846520Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2024-08-20T21:40:25.8846984Z >>> actual = expected.clone() 2024-08-20T21:40:25.8847492Z >>> # By default, directly related instances can be compared 2024-08-20T21:40:25.8848160Z >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected) 2024-08-20T21:40:25.8848876Z >>> # This check can be made more strict with allow_subclasses=False 2024-08-20T21:40:25.8849449Z >>> torch.testing.assert_close( 2024-08-20T21:40:25.8849997Z ... torch.nn.Parameter(actual), expected, allow_subclasses=False 2024-08-20T21:40:25.8850523Z ... ) 2024-08-20T21:40:25.8850823Z Traceback (most recent call last): 2024-08-20T21:40:25.8851208Z ... 2024-08-20T21:40:25.8851623Z TypeError: No comparison pair was able to handle inputs of type 2024-08-20T21:40:25.8852442Z and . 2024-08-20T21:40:25.8853206Z >>> # If the inputs are not directly related, they are never considered close 2024-08-20T21:40:25.8853915Z >>> torch.testing.assert_close(actual.numpy(), expected) 2024-08-20T21:40:25.8854441Z Traceback (most recent call last): 2024-08-20T21:40:25.8854921Z ... 2024-08-20T21:40:25.8855811Z TypeError: No comparison pair was able to handle inputs of type 2024-08-20T21:40:25.8856956Z and . 2024-08-20T21:40:25.8857853Z >>> # Exceptions to these rules are Python scalars. They can be checked regardless of 2024-08-20T21:40:25.8858819Z >>> # their type if check_dtype=False. 2024-08-20T21:40:25.8859655Z >>> torch.testing.assert_close(1.0, 1, check_dtype=False) 2024-08-20T21:40:25.8860349Z 2024-08-20T21:40:25.8860662Z >>> # NaN != NaN by default. 2024-08-20T21:40:25.8861348Z >>> expected = torch.tensor(float("Nan")) 2024-08-20T21:40:25.8862020Z >>> actual = expected.clone() 2024-08-20T21:40:25.8862783Z >>> torch.testing.assert_close(actual, expected) 2024-08-20T21:40:25.8863855Z Traceback (most recent call last): 2024-08-20T21:40:25.8864598Z ... 2024-08-20T21:40:25.8865168Z AssertionError: Scalars are not close! 2024-08-20T21:40:25.8865931Z 2024-08-20T21:40:25.8866465Z Expected nan but got nan. 2024-08-20T21:40:25.8867392Z Absolute difference: nan (up to 1e-05 allowed) 2024-08-20T21:40:25.8868513Z Relative difference: nan (up to 1.3e-06 allowed) 2024-08-20T21:40:25.8869669Z >>> torch.testing.assert_close(actual, expected, equal_nan=True) 2024-08-20T21:40:25.8870479Z 2024-08-20T21:40:25.8870804Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2024-08-20T21:40:25.8871687Z >>> actual = torch.tensor([1.0, 4.0, 5.0]) 2024-08-20T21:40:25.8872639Z >>> # The default error message can be overwritten. 2024-08-20T21:40:25.8874046Z >>> torch.testing.assert_close(actual, expected, msg="Argh, the tensors are not close!") 2024-08-20T21:40:25.8875372Z Traceback (most recent call last): 2024-08-20T21:40:25.8876111Z ... 2024-08-20T21:40:25.8876766Z AssertionError: Argh, the tensors are not close! 2024-08-20T21:40:25.8878049Z >>> # If msg is a callable, it can be used to augment the generated message with 2024-08-20T21:40:25.8879200Z >>> # extra information 2024-08-20T21:40:25.8880058Z >>> torch.testing.assert_close( 2024-08-20T21:40:25.8881093Z ... actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter" 2024-08-20T21:40:25.8882075Z ... ) 2024-08-20T21:40:25.8882635Z Traceback (most recent call last): 2024-08-20T21:40:25.8883373Z ... 2024-08-20T21:40:25.8883866Z AssertionError: Header 2024-08-20T21:40:25.8884503Z 2024-08-20T21:40:25.8885209Z Tensor-likes are not close! 2024-08-20T21:40:25.8885893Z 2024-08-20T21:40:25.8886509Z Mismatched elements: 2 / 3 (66.7%) 2024-08-20T21:40:25.8887808Z Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed) 2024-08-20T21:40:25.8889404Z Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed) 2024-08-20T21:40:25.8890485Z 2024-08-20T21:40:25.8890988Z Footer 2024-08-20T21:40:25.8891456Z 2024-08-20T21:40:25.8892453Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:25.8893396Z 2024-08-20T21:40:27.0436976Z gathering tests 2024-08-20T21:40:27.0449107Z running 695 test(s) 2024-08-20T21:40:27.0466405Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::typename:0, line 980 <- wrt source file 2024-08-20T21:40:27.0538548Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::typename:0 2024-08-20T21:40:27.0540099Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::is_tensor:0, line 1016 <- wrt source file 2024-08-20T21:40:27.0543766Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::is_tensor:0 2024-08-20T21:40:27.0545725Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::set_default_device:0, line 1085 <- wrt source file 2024-08-20T21:40:27.0547643Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::set_default_device:0 2024-08-20T21:40:27.0549877Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1134 <- wrt source file 2024-08-20T21:40:27.0551757Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::set_default_tensor_type:0 2024-08-20T21:40:27.0553594Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::set_default_dtype:0, line 1171 <- wrt source file 2024-08-20T21:40:27.0555710Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::set_default_dtype:0 2024-08-20T21:40:27.0558098Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1326 <- wrt source file 2024-08-20T21:40:27.0559836Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2024-08-20T21:40:27.0561454Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::compile:0, line 2412 <- wrt source file 2024-08-20T21:40:27.0562936Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::compile:0 2024-08-20T21:40:27.0564574Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2661 <- wrt source file 2024-08-20T21:40:27.0566332Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2024-08-20T21:40:27.0568162Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_C.cpython-312-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file 2024-08-20T21:40:27.0569953Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_C.cpython-312-x86_64-linux-gnu.so::Generator:0 2024-08-20T21:40:27.0571920Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_C.cpython-312-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file 2024-08-20T21:40:27.0573735Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_C.cpython-312-x86_64-linux-gnu.so::_LinAlgError:0 2024-08-20T21:40:27.0575392Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2024-08-20T21:40:27.0576911Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_ops.py::custom_op:0 2024-08-20T21:40:27.0578423Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_ops.py::impl:0, line 137 <- wrt source file 2024-08-20T21:40:27.0579862Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_ops.py::impl:0 2024-08-20T21:40:27.0581520Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_ops.py::impl_abstract:0, line 206 <- wrt source file 2024-08-20T21:40:27.0830779Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_ops.py::impl_abstract:0 2024-08-20T21:40:27.0832562Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2024-08-20T21:40:27.0834266Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_namedtensor_internals.py::update_names:0 2024-08-20T21:40:27.0835956Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 546 <- wrt source file 2024-08-20T21:40:27.1009440Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_hook:0 2024-08-20T21:40:27.1011224Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 603 <- wrt source file 2024-08-20T21:40:27.1442566Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2024-08-20T21:40:27.1444320Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1232 <- wrt source file 2024-08-20T21:40:27.1621847Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.refine_names:0 2024-08-20T21:40:27.1624160Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1277 <- wrt source file 2024-08-20T21:40:27.1629428Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.align_to:0 2024-08-20T21:40:27.1631010Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.rename:0, line 1350 <- wrt source file 2024-08-20T21:40:27.1653736Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.rename:0 2024-08-20T21:40:27.1655332Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1380 <- wrt source file 2024-08-20T21:40:27.1786533Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2024-08-20T21:40:27.1788152Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1403 <- wrt source file 2024-08-20T21:40:27.1790917Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.dim_order:0 2024-08-20T21:40:27.1792516Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2024-08-20T21:40:27.1825386Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor_str.py::set_printoptions:0 2024-08-20T21:40:27.1827196Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::broadcast_tensors:0, line 63 <- wrt source file 2024-08-20T21:40:27.1867950Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::broadcast_tensors:0 2024-08-20T21:40:27.1877428Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::broadcast_shapes:0, line 91 <- wrt source file 2024-08-20T21:40:27.1879342Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::broadcast_shapes:0 2024-08-20T21:40:27.1880923Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::split:0, line 178 <- wrt source file 2024-08-20T21:40:27.1888664Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::split:0 2024-08-20T21:40:27.1890182Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::einsum:0, line 287 <- wrt source file 2024-08-20T21:40:27.2100861Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::einsum:0 2024-08-20T21:40:27.2102522Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 1014 <- wrt source file 2024-08-20T21:40:27.2112425Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::_unique_consecutive_impl:0 2024-08-20T21:40:27.2114221Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::tensordot:0, line 1289 <- wrt source file 2024-08-20T21:40:27.2147086Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::tensordot:0 2024-08-20T21:40:27.2148820Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::cartesian_prod:0, line 1373 <- wrt source file 2024-08-20T21:40:27.2158519Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::cartesian_prod:0 2024-08-20T21:40:27.2160112Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::block_diag:0, line 1407 <- wrt source file 2024-08-20T21:40:27.2178440Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::block_diag:0 2024-08-20T21:40:27.2180001Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::cdist:0, line 1458 <- wrt source file 2024-08-20T21:40:27.2200524Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::cdist:0 2024-08-20T21:40:27.2202086Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::atleast_1d:0, line 1499 <- wrt source file 2024-08-20T21:40:27.2220315Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::atleast_1d:0 2024-08-20T21:40:27.2221972Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::atleast_2d:0, line 1535 <- wrt source file 2024-08-20T21:40:27.2237140Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::atleast_2d:0 2024-08-20T21:40:27.2238722Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::atleast_3d:0, line 1573 <- wrt source file 2024-08-20T21:40:27.2257560Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::atleast_3d:0 2024-08-20T21:40:27.2259278Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::norm:0, line 1746 <- wrt source file 2024-08-20T21:40:27.2328947Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::norm:0 2024-08-20T21:40:27.2330512Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::unravel_index:0, line 1913 <- wrt source file 2024-08-20T21:40:27.2377551Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::unravel_index:0 2024-08-20T21:40:27.2379713Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::chain_matmul:0, line 2013 <- wrt source file 2024-08-20T21:40:27.2381952Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::chain_matmul:0 2024-08-20T21:40:27.2383665Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::_lu_impl:0, line 2113 <- wrt source file 2024-08-20T21:40:27.2385363Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::_lu_impl:0 2024-08-20T21:40:27.2387001Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py::list:0, line 468 <- wrt source file 2024-08-20T21:40:27.2388378Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py::list:0 2024-08-20T21:40:27.2389781Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py::help:0, line 528 <- wrt source file 2024-08-20T21:40:27.2391134Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py::help:0 2024-08-20T21:40:27.2392565Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py::_load_local:0, line 667 <- wrt source file 2024-08-20T21:40:27.2394026Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py::_load_local:0 2024-08-20T21:40:27.2395564Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::Library.define:0, line 129 <- wrt source file 2024-08-20T21:40:27.2397101Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::Library.define:0 2024-08-20T21:40:27.2398775Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 217 <- wrt source file 2024-08-20T21:40:27.2470313Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2024-08-20T21:40:27.2472008Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::Library.impl:0, line 268 <- wrt source file 2024-08-20T21:40:27.2474097Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::Library.impl:0 2024-08-20T21:40:27.2475626Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::define:0, line 452 <- wrt source file 2024-08-20T21:40:27.2564055Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::define:0 2024-08-20T21:40:27.2565645Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::impl:0, line 519 <- wrt source file 2024-08-20T21:40:27.2572918Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::impl:0 2024-08-20T21:40:27.2574608Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::register_kernel:0, line 641 <- wrt source file 2024-08-20T21:40:27.2576167Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::register_kernel:0 2024-08-20T21:40:27.2577948Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::register_torch_dispatch:0, line 958 <- wrt source file 2024-08-20T21:40:27.2663036Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::register_torch_dispatch:0 2024-08-20T21:40:27.2664663Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::register_vmap:0, line 1047 <- wrt source file 2024-08-20T21:40:27.2795771Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::register_vmap:0 2024-08-20T21:40:27.2797406Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::get_ignored_functions:0, line 111 <- wrt source file 2024-08-20T21:40:27.2801785Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::get_ignored_functions:0 2024-08-20T21:40:27.2803461Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::get_testing_overrides:0, line 418 <- wrt source file 2024-08-20T21:40:27.2835738Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::get_testing_overrides:0 2024-08-20T21:40:27.2837455Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::wrap_torch_function:0, line 1564 <- wrt source file 2024-08-20T21:40:27.2839321Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::wrap_torch_function:0 2024-08-20T21:40:27.2841247Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::handle_torch_function:0, line 1699 <- wrt source file 2024-08-20T21:40:27.2842955Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::handle_torch_function:0 2024-08-20T21:40:27.2844747Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1947 <- wrt source file 2024-08-20T21:40:27.2869582Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2024-08-20T21:40:27.2871264Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::is_tensor_like:0, line 1966 <- wrt source file 2024-08-20T21:40:27.2876648Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::is_tensor_like:0 2024-08-20T21:40:27.2878946Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2024-08-20T21:40:27.2880568Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/quasirandom.py::SobolEngine:0 2024-08-20T21:40:27.2882198Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::add_safe_globals:0, line 216 <- wrt source file 2024-08-20T21:40:27.2884545Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::add_safe_globals:0 2024-08-20T21:40:27.2886611Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::safe_globals:0, line 241 <- wrt source file 2024-08-20T21:40:27.2888597Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::safe_globals:0 2024-08-20T21:40:27.2890484Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::register_package:0, line 304 <- wrt source file 2024-08-20T21:40:27.2892682Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::register_package:0 2024-08-20T21:40:27.2894358Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::save:0, line 765 <- wrt source file 2024-08-20T21:40:27.2896393Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::save:0 2024-08-20T21:40:27.2898285Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/torch_version.py::TorchVersion:0, line 18 <- wrt source file 2024-08-20T21:40:27.2899877Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/torch_version.py::TorchVersion:0 2024-08-20T21:40:27.2901630Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 134 <- wrt source file 2024-08-20T21:40:27.2903311Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2024-08-20T21:40:27.2904975Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_options:0, line 164 <- wrt source file 2024-08-20T21:40:27.2906598Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_options:0 2024-08-20T21:40:27.2908204Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/jit/__init__.py::annotate:0, line 146 <- wrt source file 2024-08-20T21:40:27.2909711Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/jit/__init__.py::annotate:0 2024-08-20T21:40:27.2911431Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1747 <- wrt source file 2024-08-20T21:40:27.2913323Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2024-08-20T21:40:27.2915116Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 103 <- wrt source file 2024-08-20T21:40:27.2916778Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2024-08-20T21:40:27.2918476Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 146 <- wrt source file 2024-08-20T21:40:28.2149340Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2024-08-20T21:40:28.2151498Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 255 <- wrt source file 2024-08-20T21:40:28.2153511Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2024-08-20T21:40:28.2155276Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::is_compiling:0, line 286 <- wrt source file 2024-08-20T21:40:28.2158289Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::is_compiling:0 2024-08-20T21:40:28.2161064Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 307 <- wrt source file 2024-08-20T21:40:28.2163795Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2024-08-20T21:40:28.2165619Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/export/__init__.py::save:0, line 214 <- wrt source file 2024-08-20T21:40:28.2167146Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/export/__init__.py::save:0 2024-08-20T21:40:28.2168686Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/export/__init__.py::load:0, line 298 <- wrt source file 2024-08-20T21:40:28.2170178Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/export/__init__.py::load:0 2024-08-20T21:40:28.2171945Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/export/__init__.py::register_dataclass:0, line 396 <- wrt source file 2024-08-20T21:40:28.2173624Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/export/__init__.py::register_dataclass:0 2024-08-20T21:40:28.2175382Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 196 <- wrt source file 2024-08-20T21:40:28.2177154Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2024-08-20T21:40:28.2179349Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 258 <- wrt source file 2024-08-20T21:40:28.2181183Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/futures/__init__.py::Future.set_exception:0 2024-08-20T21:40:28.2182869Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/futures/__init__.py::collect_all:0, line 289 <- wrt source file 2024-08-20T21:40:28.2184494Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/futures/__init__.py::collect_all:0 2024-08-20T21:40:28.2186212Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file 2024-08-20T21:40:28.2188002Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0 2024-08-20T21:40:28.2189880Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 56 <- wrt source file 2024-08-20T21:40:28.2592436Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2024-08-20T21:40:28.2732892Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor:0, line 215 <- wrt source file 2024-08-20T21:40:28.2737159Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor:0 2024-08-20T21:40:28.2740033Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py::narrow:0, line 277 <- wrt source file 2024-08-20T21:40:28.2966501Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py::narrow:0 2024-08-20T21:40:28.2969543Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 361 <- wrt source file 2024-08-20T21:40:28.2986473Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2024-08-20T21:40:28.2989797Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 454 <- wrt source file 2024-08-20T21:40:28.3017258Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2024-08-20T21:40:28.3020557Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 540 <- wrt source file 2024-08-20T21:40:28.3471346Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2024-08-20T21:40:28.3474945Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1166 <- wrt source file 2024-08-20T21:40:28.3478946Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0 2024-08-20T21:40:28.3482571Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 265 <- wrt source file 2024-08-20T21:40:28.3485783Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2024-08-20T21:40:28.3489253Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 682 <- wrt source file 2024-08-20T21:40:28.3492857Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2024-08-20T21:40:28.3496390Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 755 <- wrt source file 2024-08-20T21:40:28.3499868Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2024-08-20T21:40:28.3503395Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2251 <- wrt source file 2024-08-20T21:40:28.3506978Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0 2024-08-20T21:40:28.3510503Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::batch_isend_irecv:0, line 2343 <- wrt source file 2024-08-20T21:40:28.3513746Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::batch_isend_irecv:0 2024-08-20T21:40:28.3517009Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_reduce:0, line 2452 <- wrt source file 2024-08-20T21:40:28.3520420Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_reduce:0 2024-08-20T21:40:28.3523881Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0, line 2696 <- wrt source file 2024-08-20T21:40:28.3527651Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0 2024-08-20T21:40:28.3531498Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0, line 2896 <- wrt source file 2024-08-20T21:40:28.3535059Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0 2024-08-20T21:40:28.3538616Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0, line 2989 <- wrt source file 2024-08-20T21:40:28.3542301Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0 2024-08-20T21:40:28.3545837Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0, line 3091 <- wrt source file 2024-08-20T21:40:28.3549443Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0 2024-08-20T21:40:28.3553033Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0, line 3200 <- wrt source file 2024-08-20T21:40:28.3556558Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0 2024-08-20T21:40:28.3560114Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather:0, line 3295 <- wrt source file 2024-08-20T21:40:28.3563734Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather:0 2024-08-20T21:40:28.3567202Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 3377 <- wrt source file 2024-08-20T21:40:28.3570855Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0 2024-08-20T21:40:28.3574447Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 3502 <- wrt source file 2024-08-20T21:40:28.3577938Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0 2024-08-20T21:40:28.3581477Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter:0, line 3655 <- wrt source file 2024-08-20T21:40:28.3584744Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter:0 2024-08-20T21:40:28.3588179Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0, line 3790 <- wrt source file 2024-08-20T21:40:28.3591869Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0 2024-08-20T21:40:28.3595582Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_to_all_single:0, line 3917 <- wrt source file 2024-08-20T21:40:28.3599171Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_to_all_single:0 2024-08-20T21:40:28.3602580Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_to_all:0, line 4029 <- wrt source file 2024-08-20T21:40:28.3605855Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_to_all:0 2024-08-20T21:40:28.3609534Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0, line 4203 <- wrt source file 2024-08-20T21:40:28.3613099Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0 2024-08-20T21:40:28.3616585Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0, line 4754 <- wrt source file 2024-08-20T21:40:28.3619974Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0 2024-08-20T21:40:28.3623687Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::new_subgroups_by_enumeration:0, line 4856 <- wrt source file 2024-08-20T21:40:28.3627597Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::new_subgroups_by_enumeration:0 2024-08-20T21:40:28.3630775Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/run.py::__doc__:0, line 87 <- wrt source file 2024-08-20T21:40:28.3633547Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/run.py::__doc__:0 2024-08-20T21:40:28.3636733Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/autograd/__init__.py::context:0, line 39 <- wrt source file 2024-08-20T21:40:28.3639949Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/autograd/__init__.py::context:0 2024-08-20T21:40:28.3643636Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0, line 42 <- wrt source file 2024-08-20T21:40:28.3647713Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0 2024-08-20T21:40:28.3651626Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0, line 113 <- wrt source file 2024-08-20T21:40:28.3655643Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0 2024-08-20T21:40:28.3659319Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0, line 53 <- wrt source file 2024-08-20T21:40:28.3663303Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0 2024-08-20T21:40:28.3666768Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0, line 38 <- wrt source file 2024-08-20T21:40:28.3670298Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0 2024-08-20T21:40:28.3673961Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0, line 48 <- wrt source file 2024-08-20T21:40:28.3677699Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0 2024-08-20T21:40:28.3681221Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_composable/contract.py::contract:0, line 46 <- wrt source file 2024-08-20T21:40:28.3684605Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_composable/contract.py::contract:0 2024-08-20T21:40:28.3688294Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_composable/replicate.py::replicate:0, line 190 <- wrt source file 2024-08-20T21:40:28.3691715Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_composable/replicate.py::replicate:0 2024-08-20T21:40:28.3695365Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0, line 30 <- wrt source file 2024-08-20T21:40:28.3699470Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0 2024-08-20T21:40:28.3703621Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::custom_sharded_op_impl:0, line 457 <- wrt source file 2024-08-20T21:40:28.3707485Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::custom_sharded_op_impl:0 2024-08-20T21:40:28.3711297Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/_ops/_common.py::_sharded_op_common:0, line 18 <- wrt source file 2024-08-20T21:40:28.3715182Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/_ops/_common.py::_sharded_op_common:0 2024-08-20T21:40:28.3719322Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_tensor/random.py::OffsetBasedRNGTracker._set_pre_op_offset:0, line 231 <- wrt source file 2024-08-20T21:40:28.3723318Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_tensor/random.py::OffsetBasedRNGTracker._set_pre_op_offset:0 2024-08-20T21:40:28.3727234Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_tensor/ops/_common_rules.py::pointwise_rule:0, line 234 <- wrt source file 2024-08-20T21:40:28.3730790Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_tensor/ops/_common_rules.py::pointwise_rule:0 2024-08-20T21:40:28.3734491Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0, line 54 <- wrt source file 2024-08-20T21:40:28.3737944Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0 2024-08-20T21:40:28.3741457Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/join.py::Join:0, line 141 <- wrt source file 2024-08-20T21:40:28.3744630Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/join.py::Join:0 2024-08-20T21:40:28.3748288Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0, line 107 <- wrt source file 2024-08-20T21:40:28.3752343Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0 2024-08-20T21:40:28.3756357Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0, line 23 <- wrt source file 2024-08-20T21:40:28.3760303Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0 2024-08-20T21:40:28.3764583Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0, line 49 <- wrt source file 2024-08-20T21:40:28.3768903Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0 2024-08-20T21:40:28.3773042Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_hook:0, line 69 <- wrt source file 2024-08-20T21:40:28.3776996Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_hook:0 2024-08-20T21:40:28.3781296Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0, line 118 <- wrt source file 2024-08-20T21:40:28.3785402Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0 2024-08-20T21:40:28.3789709Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0, line 163 <- wrt source file 2024-08-20T21:40:28.3793892Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0 2024-08-20T21:40:28.3798354Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0, line 202 <- wrt source file 2024-08-20T21:40:28.3802565Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0 2024-08-20T21:40:28.3806807Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::batched_powerSGD_hook:0, line 705 <- wrt source file 2024-08-20T21:40:28.3810998Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::batched_powerSGD_hook:0 2024-08-20T21:40:28.3815376Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0, line 64 <- wrt source file 2024-08-20T21:40:28.3819912Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0 2024-08-20T21:40:28.3824607Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0, line 145 <- wrt source file 2024-08-20T21:40:28.3829366Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0 2024-08-20T21:40:28.3833545Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0, line 1077 <- wrt source file 2024-08-20T21:40:28.3837186Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0 2024-08-20T21:40:28.3840864Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0, line 1318 <- wrt source file 2024-08-20T21:40:28.3844782Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0 2024-08-20T21:40:28.3848676Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0, line 1377 <- wrt source file 2024-08-20T21:40:28.3852724Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0 2024-08-20T21:40:28.3856524Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0, line 213 <- wrt source file 2024-08-20T21:40:28.3860740Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0 2024-08-20T21:40:28.3864962Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/elastic/utils/distributed.py::get_free_port:0, line 136 <- wrt source file 2024-08-20T21:40:28.3868703Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/elastic/utils/distributed.py::get_free_port:0 2024-08-20T21:40:28.3872263Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/api.py::StateDictType:0, line 260 <- wrt source file 2024-08-20T21:40:28.3875539Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/api.py::StateDictType:0 2024-08-20T21:40:28.3878951Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/api.py::FullStateDictConfig:0, line 301 <- wrt source file 2024-08-20T21:40:28.3882563Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/api.py::FullStateDictConfig:0 2024-08-20T21:40:28.3886426Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0, line 140 <- wrt source file 2024-08-20T21:40:28.3890565Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0 2024-08-20T21:40:28.3895106Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0, line 1486 <- wrt source file 2024-08-20T21:40:28.3899872Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0 2024-08-20T21:40:28.3904219Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0, line 1606 <- wrt source file 2024-08-20T21:40:28.3908128Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0 2024-08-20T21:40:28.3912010Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0, line 1691 <- wrt source file 2024-08-20T21:40:28.3915495Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0 2024-08-20T21:40:28.3917826Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0, line 51 <- wrt source file 2024-08-20T21:40:28.3919874Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0 2024-08-20T21:40:28.3921931Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0, line 236 <- wrt source file 2024-08-20T21:40:28.3923765Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0 2024-08-20T21:40:28.3925566Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0, line 134 <- wrt source file 2024-08-20T21:40:28.3927622Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0 2024-08-20T21:40:28.3929480Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0, line 335 <- wrt source file 2024-08-20T21:40:28.3931248Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0 2024-08-20T21:40:28.3933196Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0, line 82 <- wrt source file 2024-08-20T21:40:28.3935303Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0 2024-08-20T21:40:28.3937422Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0, line 101 <- wrt source file 2024-08-20T21:40:28.3939607Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0 2024-08-20T21:40:28.3941556Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::_wait_all:0, line 175 <- wrt source file 2024-08-20T21:40:28.3943203Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::_wait_all:0 2024-08-20T21:40:28.3944876Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::shutdown:0, line 346 <- wrt source file 2024-08-20T21:40:28.3946519Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::shutdown:0 2024-08-20T21:40:28.3948163Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::remote:0, line 605 <- wrt source file 2024-08-20T21:40:28.3949786Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::remote:0 2024-08-20T21:40:28.3951433Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::rpc_sync:0, line 785 <- wrt source file 2024-08-20T21:40:28.3953060Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::rpc_sync:0 2024-08-20T21:40:28.3954711Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::rpc_async:0, line 877 <- wrt source file 2024-08-20T21:40:28.3956372Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/api.py::rpc_async:0 2024-08-20T21:40:28.3958400Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0, line 61 <- wrt source file 2024-08-20T21:40:28.3960636Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0 2024-08-20T21:40:28.3962974Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0, line 54 <- wrt source file 2024-08-20T21:40:28.3964945Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0 2024-08-20T21:40:28.3967049Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0, line 88 <- wrt source file 2024-08-20T21:40:28.3969071Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0 2024-08-20T21:40:28.3971035Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0, line 54 <- wrt source file 2024-08-20T21:40:28.3972952Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0 2024-08-20T21:40:28.3974903Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0, line 62 <- wrt source file 2024-08-20T21:40:28.3976866Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0 2024-08-20T21:40:28.3978845Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 180 <- wrt source file 2024-08-20T21:40:28.3980871Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0 2024-08-20T21:40:28.3982952Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 308 <- wrt source file 2024-08-20T21:40:28.3985009Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0 2024-08-20T21:40:28.3986759Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/graph.py::_snake_case:0, line 84 <- wrt source file 2024-08-20T21:40:28.3988255Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/graph.py::_snake_case:0 2024-08-20T21:40:28.3989899Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0, line 1603 <- wrt source file 2024-08-20T21:40:28.3991603Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0 2024-08-20T21:40:28.3993295Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/graph.py::Graph.on_generate_code:0, line 1677 <- wrt source file 2024-08-20T21:40:28.3994943Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/graph.py::Graph.on_generate_code:0 2024-08-20T21:40:28.3996605Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/interpreter.py::Interpreter:0, line 41 <- wrt source file 2024-08-20T21:40:28.3998214Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/interpreter.py::Interpreter:0 2024-08-20T21:40:28.4000083Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/interpreter.py::Transformer:0, line 407 <- wrt source file 2024-08-20T21:40:28.4001702Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/interpreter.py::Transformer:0 2024-08-20T21:40:28.4003394Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0, line 114 <- wrt source file 2024-08-20T21:40:28.4005121Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0 2024-08-20T21:40:28.4006780Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/tensor_type.py::TensorType:0, line 12 <- wrt source file 2024-08-20T21:40:28.4008385Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/tensor_type.py::TensorType:0 2024-08-20T21:40:28.4010607Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/tensor_type.py::is_consistent:0, line 63 <- wrt source file 2024-08-20T21:40:28.4012228Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/tensor_type.py::is_consistent:0 2024-08-20T21:40:28.4013865Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/tensor_type.py::is_more_precise:0, line 89 <- wrt source file 2024-08-20T21:40:28.4015496Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/tensor_type.py::is_more_precise:0 2024-08-20T21:40:28.4017337Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0, line 94 <- wrt source file 2024-08-20T21:40:28.4019964Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0 2024-08-20T21:40:28.4023753Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/core.py::reify:0, line 43 <- wrt source file 2024-08-20T21:40:28.4027426Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/core.py::reify:0 2024-08-20T21:40:28.4030929Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0, line 43 <- wrt source file 2024-08-20T21:40:28.4034713Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0 2024-08-20T21:40:28.4038437Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/more.py::unifiable:0, line 11 <- wrt source file 2024-08-20T21:40:28.4042046Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/more.py::unifiable:0 2024-08-20T21:40:28.4045698Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/more.py::reify_object:0, line 37 <- wrt source file 2024-08-20T21:40:28.4049339Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/more.py::reify_object:0 2024-08-20T21:40:28.4053049Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/more.py::unify_object:0, line 92 <- wrt source file 2024-08-20T21:40:28.4056317Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/more.py::unify_object:0 2024-08-20T21:40:28.4059851Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0, line 22 <- wrt source file 2024-08-20T21:40:28.4064131Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0 2024-08-20T21:40:28.4068040Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0, line 49 <- wrt source file 2024-08-20T21:40:28.4071926Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0 2024-08-20T21:40:28.4075852Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0, line 75 <- wrt source file 2024-08-20T21:40:28.4079672Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0 2024-08-20T21:40:28.4083716Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0, line 91 <- wrt source file 2024-08-20T21:40:28.4087554Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0 2024-08-20T21:40:28.4091429Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0, line 107 <- wrt source file 2024-08-20T21:40:28.4095282Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0 2024-08-20T21:40:28.4099196Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0, line 123 <- wrt source file 2024-08-20T21:40:28.4103177Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0 2024-08-20T21:40:28.4107116Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0, line 143 <- wrt source file 2024-08-20T21:40:28.4110995Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0 2024-08-20T21:40:28.4115084Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0, line 163 <- wrt source file 2024-08-20T21:40:28.4119015Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0 2024-08-20T21:40:28.4122904Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0, line 189 <- wrt source file 2024-08-20T21:40:28.4126799Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0 2024-08-20T21:40:28.4130667Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0, line 206 <- wrt source file 2024-08-20T21:40:28.4134480Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0 2024-08-20T21:40:28.4138299Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0, line 393 <- wrt source file 2024-08-20T21:40:28.4142179Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0 2024-08-20T21:40:28.4145946Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0, line 13 <- wrt source file 2024-08-20T21:40:28.4149634Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0 2024-08-20T21:40:28.4153272Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0, line 40 <- wrt source file 2024-08-20T21:40:28.4156831Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0 2024-08-20T21:40:28.4160478Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0, line 68 <- wrt source file 2024-08-20T21:40:28.4164382Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0 2024-08-20T21:40:28.4168138Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::freeze:0, line 93 <- wrt source file 2024-08-20T21:40:28.4171629Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::freeze:0 2024-08-20T21:40:28.4175272Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/variable.py::variables:0, line 63 <- wrt source file 2024-08-20T21:40:28.4178938Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/variable.py::variables:0 2024-08-20T21:40:28.4182922Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0, line 19 <- wrt source file 2024-08-20T21:40:28.4186952Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0 2024-08-20T21:40:28.4191163Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0, line 99 <- wrt source file 2024-08-20T21:40:28.4195443Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0 2024-08-20T21:40:28.4200052Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0, line 123 <- wrt source file 2024-08-20T21:40:28.4204594Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0 2024-08-20T21:40:28.4209103Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0, line 175 <- wrt source file 2024-08-20T21:40:28.4213464Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0 2024-08-20T21:40:28.4217946Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0, line 284 <- wrt source file 2024-08-20T21:40:28.4222563Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0 2024-08-20T21:40:28.4227229Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0, line 411 <- wrt source file 2024-08-20T21:40:28.4231562Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0 2024-08-20T21:40:28.4235850Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0, line 16 <- wrt source file 2024-08-20T21:40:28.4240020Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0 2024-08-20T21:40:28.4244210Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0, line 39 <- wrt source file 2024-08-20T21:40:28.4248290Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0 2024-08-20T21:40:28.4252620Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0, line 67 <- wrt source file 2024-08-20T21:40:28.4256798Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0 2024-08-20T21:40:28.4260974Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0, line 86 <- wrt source file 2024-08-20T21:40:28.4265246Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0 2024-08-20T21:40:28.4269352Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0, line 116 <- wrt source file 2024-08-20T21:40:28.4273422Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0 2024-08-20T21:40:28.4277566Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0, line 46 <- wrt source file 2024-08-20T21:40:28.4281773Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0 2024-08-20T21:40:28.4286195Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0, line 79 <- wrt source file 2024-08-20T21:40:28.4290340Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0 2024-08-20T21:40:28.4294243Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0, line 116 <- wrt source file 2024-08-20T21:40:28.4297885Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0 2024-08-20T21:40:28.4301416Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 81 <- wrt source file 2024-08-20T21:40:28.4304551Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0 2024-08-20T21:40:28.4307804Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/passes/split_module.py::split_module:0, line 76 <- wrt source file 2024-08-20T21:40:28.4311050Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/passes/split_module.py::split_module:0 2024-08-20T21:40:28.4314953Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 53 <- wrt source file 2024-08-20T21:40:28.4319393Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0 2024-08-20T21:40:28.4323325Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 36 <- wrt source file 2024-08-20T21:40:28.4326924Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0 2024-08-20T21:40:28.4330411Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file 2024-08-20T21:40:28.4333838Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0 2024-08-20T21:40:28.4337585Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 122 <- wrt source file 2024-08-20T21:40:28.4341315Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0 2024-08-20T21:40:28.4344846Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 214 <- wrt source file 2024-08-20T21:40:28.4348236Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0 2024-08-20T21:40:28.4351766Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 467 <- wrt source file 2024-08-20T21:40:28.4355312Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0 2024-08-20T21:40:28.4358924Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 586 <- wrt source file 2024-08-20T21:40:28.5183355Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2024-08-20T21:40:28.5196719Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2181 <- wrt source file 2024-08-20T21:40:28.5505243Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::gumbel_softmax:0 2024-08-20T21:40:28.5507873Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::embedding:0, line 2487 <- wrt source file 2024-08-20T21:40:28.5522849Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::embedding:0 2024-08-20T21:40:28.5525924Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::embedding_bag:0, line 2627 <- wrt source file 2024-08-20T21:40:28.5675017Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::embedding_bag:0 2024-08-20T21:40:28.5677973Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::ctc_loss:0, line 3049 <- wrt source file 2024-08-20T21:40:28.5738070Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::ctc_loss:0 2024-08-20T21:40:28.5740995Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::nll_loss:0, line 3126 <- wrt source file 2024-08-20T21:40:28.5806910Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::nll_loss:0 2024-08-20T21:40:28.5810013Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::cross_entropy:0, line 3451 <- wrt source file 2024-08-20T21:40:28.5833589Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::cross_entropy:0 2024-08-20T21:40:28.5836495Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3523 <- wrt source file 2024-08-20T21:40:28.5869244Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2024-08-20T21:40:28.5872520Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3600 <- wrt source file 2024-08-20T21:40:28.5920643Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2024-08-20T21:40:28.5923545Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::pad:0, line 5065 <- wrt source file 2024-08-20T21:40:28.5950226Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::pad:0 2024-08-20T21:40:28.5953000Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2024-08-20T21:40:28.6174040Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_input:0 2024-08-20T21:40:28.6176842Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2024-08-20T21:40:28.6179843Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_weight:0 2024-08-20T21:40:28.6182700Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2024-08-20T21:40:28.6186828Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_input:0 2024-08-20T21:40:28.6189626Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2024-08-20T21:40:28.6192646Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_weight:0 2024-08-20T21:40:28.6195428Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2024-08-20T21:40:28.6882405Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_input:0 2024-08-20T21:40:28.6885688Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2024-08-20T21:40:28.6944532Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_weight:0 2024-08-20T21:40:28.6947738Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::calculate_gain:0, line 102 <- wrt source file 2024-08-20T21:40:28.6950519Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::calculate_gain:0 2024-08-20T21:40:28.6953295Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::uniform_:0, line 159 <- wrt source file 2024-08-20T21:40:28.6955939Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::uniform_:0 2024-08-20T21:40:28.6958590Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::normal_:0, line 186 <- wrt source file 2024-08-20T21:40:28.6961195Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::normal_:0 2024-08-20T21:40:28.6963910Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::trunc_normal_:0, line 221 <- wrt source file 2024-08-20T21:40:28.6986038Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::trunc_normal_:0 2024-08-20T21:40:28.6988771Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::constant_:0, line 235 <- wrt source file 2024-08-20T21:40:28.6991456Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::constant_:0 2024-08-20T21:40:28.6994109Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::ones_:0, line 252 <- wrt source file 2024-08-20T21:40:28.6996645Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::ones_:0 2024-08-20T21:40:28.6999473Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::zeros_:0, line 265 <- wrt source file 2024-08-20T21:40:28.7002067Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::zeros_:0 2024-08-20T21:40:28.7004680Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::eye_:0, line 281 <- wrt source file 2024-08-20T21:40:28.7007215Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::eye_:0 2024-08-20T21:40:28.7009808Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::dirac_:0, line 303 <- wrt source file 2024-08-20T21:40:28.7012398Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::dirac_:0 2024-08-20T21:40:28.7015123Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::xavier_uniform_:0, line 389 <- wrt source file 2024-08-20T21:40:28.7017881Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::xavier_uniform_:0 2024-08-20T21:40:28.7020774Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::xavier_normal_:0, line 429 <- wrt source file 2024-08-20T21:40:28.7023544Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::xavier_normal_:0 2024-08-20T21:40:28.7026680Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 488 <- wrt source file 2024-08-20T21:40:28.7029473Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::kaiming_uniform_:0 2024-08-20T21:40:28.7032314Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::kaiming_normal_:0, line 553 <- wrt source file 2024-08-20T21:40:28.7035093Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::kaiming_normal_:0 2024-08-20T21:40:28.7037870Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::orthogonal_:0, line 592 <- wrt source file 2024-08-20T21:40:28.7040550Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::orthogonal_:0 2024-08-20T21:40:28.7043277Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::sparse_:0, line 645 <- wrt source file 2024-08-20T21:40:28.7045885Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::sparse_:0 2024-08-20T21:40:28.7048736Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 81 <- wrt source file 2024-08-20T21:40:28.7051737Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2024-08-20T21:40:28.7054764Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file 2024-08-20T21:40:28.7057698Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/attention/bias.py::CausalBias:0 2024-08-20T21:40:28.7060790Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Threshold:0, line 70 <- wrt source file 2024-08-20T21:40:28.7075629Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Threshold:0 2024-08-20T21:40:28.7078668Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU:0, line 112 <- wrt source file 2024-08-20T21:40:28.7081653Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU:0 2024-08-20T21:40:28.7084819Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::RReLU:0, line 171 <- wrt source file 2024-08-20T21:40:28.7095007Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::RReLU:0 2024-08-20T21:40:28.7098031Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 227 <- wrt source file 2024-08-20T21:40:28.7104192Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2024-08-20T21:40:28.7107222Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 292 <- wrt source file 2024-08-20T21:40:28.7110139Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU6:0 2024-08-20T21:40:28.7113144Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 320 <- wrt source file 2024-08-20T21:40:28.7116132Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2024-08-20T21:40:28.7119211Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 352 <- wrt source file 2024-08-20T21:40:28.7122472Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2024-08-20T21:40:28.7125509Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanh:0, line 385 <- wrt source file 2024-08-20T21:40:28.7134795Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanh:0 2024-08-20T21:40:28.7137786Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::SiLU:0, line 418 <- wrt source file 2024-08-20T21:40:28.7150203Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::SiLU:0 2024-08-20T21:40:28.7153188Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Mish:0, line 457 <- wrt source file 2024-08-20T21:40:28.7156130Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Mish:0 2024-08-20T21:40:28.7159165Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 502 <- wrt source file 2024-08-20T21:40:28.7162245Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardswish:0 2024-08-20T21:40:28.7165229Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::ELU:0, line 545 <- wrt source file 2024-08-20T21:40:28.7175904Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::ELU:0 2024-08-20T21:40:28.7178892Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::CELU:0, line 587 <- wrt source file 2024-08-20T21:40:28.7181915Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::CELU:0 2024-08-20T21:40:28.7184878Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::SELU:0, line 640 <- wrt source file 2024-08-20T21:40:28.7187781Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::SELU:0 2024-08-20T21:40:28.7190720Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::GLU:0, line 678 <- wrt source file 2024-08-20T21:40:28.7193876Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::GLU:0 2024-08-20T21:40:28.7196805Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::GELU:0, line 720 <- wrt source file 2024-08-20T21:40:28.7258350Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::GELU:0 2024-08-20T21:40:28.7261505Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 763 <- wrt source file 2024-08-20T21:40:28.7271397Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2024-08-20T21:40:28.7274491Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 812 <- wrt source file 2024-08-20T21:40:28.7277546Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2024-08-20T21:40:28.7280648Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 848 <- wrt source file 2024-08-20T21:40:28.7283716Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2024-08-20T21:40:28.7286997Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softplus:0, line 881 <- wrt source file 2024-08-20T21:40:28.7290027Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softplus:0 2024-08-20T21:40:28.7293127Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 924 <- wrt source file 2024-08-20T21:40:28.7296209Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softshrink:0 2024-08-20T21:40:28.7299461Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1026 <- wrt source file 2024-08-20T21:40:28.7302837Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2024-08-20T21:40:28.7306023Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1489 <- wrt source file 2024-08-20T21:40:28.7308974Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::PReLU:0 2024-08-20T21:40:28.7312051Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1531 <- wrt source file 2024-08-20T21:40:28.7315052Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softsign:0 2024-08-20T21:40:28.7318157Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1554 <- wrt source file 2024-08-20T21:40:28.7321309Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2024-08-20T21:40:28.7324480Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1589 <- wrt source file 2024-08-20T21:40:28.7327701Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmin:0 2024-08-20T21:40:28.7330847Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1647 <- wrt source file 2024-08-20T21:40:28.7334000Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax:0 2024-08-20T21:40:28.7337059Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1688 <- wrt source file 2024-08-20T21:40:28.7340097Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2024-08-20T21:40:28.7343252Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1724 <- wrt source file 2024-08-20T21:40:28.7346331Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2024-08-20T21:40:28.7349427Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 330 <- wrt source file 2024-08-20T21:40:28.7371969Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2024-08-20T21:40:28.7375093Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 441 <- wrt source file 2024-08-20T21:40:28.7602465Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2024-08-20T21:40:28.7606122Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 552 <- wrt source file 2024-08-20T21:40:29.0166995Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2024-08-20T21:40:29.0253031Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2024-08-20T21:40:29.0283096Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2024-08-20T21:40:29.0286346Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential:0, line 86 <- wrt source file 2024-08-20T21:40:29.0289352Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential:0 2024-08-20T21:40:29.0292486Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleList:0, line 292 <- wrt source file 2024-08-20T21:40:29.0295530Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleList:0 2024-08-20T21:40:29.0298592Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 474 <- wrt source file 2024-08-20T21:40:29.0301715Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleDict:0 2024-08-20T21:40:29.0304853Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterList:0, line 606 <- wrt source file 2024-08-20T21:40:29.0307975Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterList:0 2024-08-20T21:40:29.0311135Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 758 <- wrt source file 2024-08-20T21:40:29.0314248Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterDict:0 2024-08-20T21:40:29.0317437Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2024-08-20T21:40:29.0320899Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2024-08-20T21:40:29.0324107Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 77 <- wrt source file 2024-08-20T21:40:29.0327416Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2024-08-20T21:40:29.0330507Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2024-08-20T21:40:29.0333402Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout:0 2024-08-20T21:40:29.0336361Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 105 <- wrt source file 2024-08-20T21:40:29.0339410Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2024-08-20T21:40:29.0342858Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 157 <- wrt source file 2024-08-20T21:40:29.0346161Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2024-08-20T21:40:29.0349129Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 202 <- wrt source file 2024-08-20T21:40:29.0417495Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2024-08-20T21:40:29.0420884Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 245 <- wrt source file 2024-08-20T21:40:29.0423923Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2024-08-20T21:40:29.0427299Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 294 <- wrt source file 2024-08-20T21:40:29.0501732Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2024-08-20T21:40:29.0505212Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 30 <- wrt source file 2024-08-20T21:40:29.0508234Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/flatten.py::Flatten:0 2024-08-20T21:40:29.0511078Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/fold.py::Fold:0, line 111 <- wrt source file 2024-08-20T21:40:29.0514206Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/fold.py::Fold:0 2024-08-20T21:40:29.0517004Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/fold.py::Unfold:0, line 261 <- wrt source file 2024-08-20T21:40:29.0528938Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/fold.py::Unfold:0 2024-08-20T21:40:29.0532014Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 187 <- wrt source file 2024-08-20T21:40:29.0543261Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2024-08-20T21:40:29.0546626Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 303 <- wrt source file 2024-08-20T21:40:29.0734006Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2024-08-20T21:40:29.0737650Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 419 <- wrt source file 2024-08-20T21:40:29.3237717Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2024-08-20T21:40:29.3323905Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 87 <- wrt source file 2024-08-20T21:40:29.3327141Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2024-08-20T21:40:29.3329726Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2024-08-20T21:40:29.3335864Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/linear.py::Identity:0 2024-08-20T21:40:29.3338699Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/linear.py::Linear:0, line 80 <- wrt source file 2024-08-20T21:40:29.3356368Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/linear.py::Linear:0 2024-08-20T21:40:29.3359268Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 179 <- wrt source file 2024-08-20T21:40:29.3382033Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/linear.py::Bilinear:0 2024-08-20T21:40:29.3385001Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 115 <- wrt source file 2024-08-20T21:40:29.3391413Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::L1Loss:0 2024-08-20T21:40:29.3394337Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 211 <- wrt source file 2024-08-20T21:40:29.3445042Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2024-08-20T21:40:29.3448061Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 321 <- wrt source file 2024-08-20T21:40:29.3454361Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2024-08-20T21:40:29.3457539Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 406 <- wrt source file 2024-08-20T21:40:29.3477040Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2024-08-20T21:40:29.3480202Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 517 <- wrt source file 2024-08-20T21:40:29.3495781Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2024-08-20T21:40:29.3498748Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 595 <- wrt source file 2024-08-20T21:40:29.3517293Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MSELoss:0 2024-08-20T21:40:29.3520138Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 677 <- wrt source file 2024-08-20T21:40:29.3526021Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCELoss:0 2024-08-20T21:40:29.3529059Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 748 <- wrt source file 2024-08-20T21:40:29.3539799Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2024-08-20T21:40:29.3543021Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 941 <- wrt source file 2024-08-20T21:40:29.3550280Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2024-08-20T21:40:29.3553488Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1261 <- wrt source file 2024-08-20T21:40:29.3560696Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2024-08-20T21:40:29.3564435Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1401 <- wrt source file 2024-08-20T21:40:29.3584055Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2024-08-20T21:40:29.3587166Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1466 <- wrt source file 2024-08-20T21:40:29.3593449Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2024-08-20T21:40:29.3596917Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1545 <- wrt source file 2024-08-20T21:40:29.3603479Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2024-08-20T21:40:29.3606583Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1645 <- wrt source file 2024-08-20T21:40:29.3617244Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2024-08-20T21:40:29.3620744Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1886 <- wrt source file 2024-08-20T21:40:29.3651051Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2024-08-20T21:40:29.3654193Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 545 <- wrt source file 2024-08-20T21:40:29.3657279Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2024-08-20T21:40:29.3660294Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1005 <- wrt source file 2024-08-20T21:40:29.3670162Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.apply:0 2024-08-20T21:40:29.3673119Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.to:0, line 1259 <- wrt source file 2024-08-20T21:40:29.3678736Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.to:0 2024-08-20T21:40:29.3681946Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2167 <- wrt source file 2024-08-20T21:40:29.3685180Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2024-08-20T21:40:29.3688228Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2609 <- wrt source file 2024-08-20T21:40:29.3691742Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.parameters:0 2024-08-20T21:40:29.3694919Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2637 <- wrt source file 2024-08-20T21:40:29.3698375Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2024-08-20T21:40:29.3701823Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2664 <- wrt source file 2024-08-20T21:40:29.3705150Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.buffers:0 2024-08-20T21:40:29.3708242Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2691 <- wrt source file 2024-08-20T21:40:29.3711764Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2024-08-20T21:40:29.3715643Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2722 <- wrt source file 2024-08-20T21:40:29.3719158Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_children:0 2024-08-20T21:40:29.3722893Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2746 <- wrt source file 2024-08-20T21:40:29.3725340Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.modules:0 2024-08-20T21:40:29.3728177Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2784 <- wrt source file 2024-08-20T21:40:29.3730459Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2024-08-20T21:40:29.3732365Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2024-08-20T21:40:29.3755145Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2024-08-20T21:40:29.3758870Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 151 <- wrt source file 2024-08-20T21:40:29.3787126Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2024-08-20T21:40:29.3790574Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 262 <- wrt source file 2024-08-20T21:40:29.3818051Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2024-08-20T21:40:29.3821155Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 355 <- wrt source file 2024-08-20T21:40:29.3824452Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2024-08-20T21:40:29.3827776Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 69 <- wrt source file 2024-08-20T21:40:29.3833598Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2024-08-20T21:40:29.3836595Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 120 <- wrt source file 2024-08-20T21:40:29.3855309Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2024-08-20T21:40:29.3858555Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 184 <- wrt source file 2024-08-20T21:40:30.0279962Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2024-08-20T21:40:30.0464835Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 238 <- wrt source file 2024-08-20T21:40:30.0475106Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2024-08-20T21:40:30.0478178Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 291 <- wrt source file 2024-08-20T21:40:30.0482621Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2024-08-20T21:40:30.0485704Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 347 <- wrt source file 2024-08-20T21:40:30.0510054Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2024-08-20T21:40:30.0513455Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 391 <- wrt source file 2024-08-20T21:40:30.0526468Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2024-08-20T21:40:30.0529523Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 435 <- wrt source file 2024-08-20T21:40:30.0534338Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2024-08-20T21:40:30.0537359Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 492 <- wrt source file 2024-08-20T21:40:30.0550114Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2024-08-20T21:40:30.0553240Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 550 <- wrt source file 2024-08-20T21:40:30.0576879Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2024-08-20T21:40:30.0580031Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 593 <- wrt source file 2024-08-20T21:40:30.0585345Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2024-08-20T21:40:30.0588566Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 650 <- wrt source file 2024-08-20T21:40:30.5941252Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2024-08-20T21:40:30.6121365Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 684 <- wrt source file 2024-08-20T21:40:30.6130940Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2024-08-20T21:40:30.6133964Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 739 <- wrt source file 2024-08-20T21:40:30.6137314Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2024-08-20T21:40:30.6140324Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 798 <- wrt source file 2024-08-20T21:40:30.6162611Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2024-08-20T21:40:30.6165743Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2024-08-20T21:40:30.6169039Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2024-08-20T21:40:30.6172284Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 93 <- wrt source file 2024-08-20T21:40:30.6175540Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2024-08-20T21:40:30.6178679Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 118 <- wrt source file 2024-08-20T21:40:30.6181721Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2024-08-20T21:40:30.6184943Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 195 <- wrt source file 2024-08-20T21:40:30.6244174Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2024-08-20T21:40:30.6247190Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 278 <- wrt source file 2024-08-20T21:40:30.8499983Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2024-08-20T21:40:30.8529726Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 352 <- wrt source file 2024-08-20T21:40:30.8542911Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2024-08-20T21:40:30.8545905Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 534 <- wrt source file 2024-08-20T21:40:30.9296349Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2024-08-20T21:40:30.9323247Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 622 <- wrt source file 2024-08-20T21:40:30.9343993Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2024-08-20T21:40:30.9346906Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 714 <- wrt source file 2024-08-20T21:40:30.9386450Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2024-08-20T21:40:30.9389429Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 827 <- wrt source file 2024-08-20T21:40:31.1073013Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2024-08-20T21:40:31.1104860Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 917 <- wrt source file 2024-08-20T21:40:31.1154050Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2024-08-20T21:40:31.1157230Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1003 <- wrt source file 2024-08-20T21:40:31.1912877Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2024-08-20T21:40:31.1915975Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1117 <- wrt source file 2024-08-20T21:40:31.1938639Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2024-08-20T21:40:31.1941946Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1168 <- wrt source file 2024-08-20T21:40:31.1992056Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2024-08-20T21:40:31.1995740Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1227 <- wrt source file 2024-08-20T21:40:31.4163323Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2024-08-20T21:40:31.4227489Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1282 <- wrt source file 2024-08-20T21:40:31.4245215Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2024-08-20T21:40:31.4248463Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1316 <- wrt source file 2024-08-20T21:40:31.4255968Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2024-08-20T21:40:31.4259231Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1359 <- wrt source file 2024-08-20T21:40:31.4286851Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2024-08-20T21:40:31.4289718Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1406 <- wrt source file 2024-08-20T21:40:31.4306652Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2024-08-20T21:40:31.4309949Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1437 <- wrt source file 2024-08-20T21:40:31.4317369Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2024-08-20T21:40:31.4320924Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1476 <- wrt source file 2024-08-20T21:40:31.4342915Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2024-08-20T21:40:31.4346153Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNN:0, line 589 <- wrt source file 2024-08-20T21:40:31.4357260Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNN:0 2024-08-20T21:40:31.4360044Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 946 <- wrt source file 2024-08-20T21:40:31.4756980Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTM:0 2024-08-20T21:40:31.4760329Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1284 <- wrt source file 2024-08-20T21:40:31.4773545Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRU:0 2024-08-20T21:40:31.4776394Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1535 <- wrt source file 2024-08-20T21:40:31.4784908Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2024-08-20T21:40:31.4787763Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1657 <- wrt source file 2024-08-20T21:40:31.4795401Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2024-08-20T21:40:31.4798269Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1771 <- wrt source file 2024-08-20T21:40:31.4807973Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2024-08-20T21:40:31.4810887Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 69 <- wrt source file 2024-08-20T21:40:31.4822224Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding:0 2024-08-20T21:40:31.4825402Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 241 <- wrt source file 2024-08-20T21:40:31.4831372Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2024-08-20T21:40:31.4834870Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 519 <- wrt source file 2024-08-20T21:40:31.4838605Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2024-08-20T21:40:31.4841924Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 90 <- wrt source file 2024-08-20T21:40:32.0823106Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer:0 2024-08-20T21:40:32.0867005Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 258 <- wrt source file 2024-08-20T21:40:32.0870399Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2024-08-20T21:40:32.0873833Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 323 <- wrt source file 2024-08-20T21:40:32.1457619Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2024-08-20T21:40:32.1462674Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 536 <- wrt source file 2024-08-20T21:40:32.2636691Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2024-08-20T21:40:32.2644303Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 657 <- wrt source file 2024-08-20T21:40:32.2856428Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2024-08-20T21:40:32.2860417Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 961 <- wrt source file 2024-08-20T21:40:32.3211035Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2024-08-20T21:40:32.3214390Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2024-08-20T21:40:32.3289064Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2024-08-20T21:40:32.3292307Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 223 <- wrt source file 2024-08-20T21:40:32.3301183Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2024-08-20T21:40:32.3304596Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 273 <- wrt source file 2024-08-20T21:40:32.3309929Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2024-08-20T21:40:32.3314430Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 126 <- wrt source file 2024-08-20T21:40:32.3317594Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2024-08-20T21:40:32.3320968Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 619 <- wrt source file 2024-08-20T21:40:32.3324558Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2024-08-20T21:40:32.3328372Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1418 <- wrt source file 2024-08-20T21:40:32.3332042Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2024-08-20T21:40:32.3335937Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 1981 <- wrt source file 2024-08-20T21:40:32.3339871Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2024-08-20T21:40:32.3343928Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 1991 <- wrt source file 2024-08-20T21:40:32.3347894Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2024-08-20T21:40:32.3351937Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2026 <- wrt source file 2024-08-20T21:40:32.3356033Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2024-08-20T21:40:32.3359789Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file 2024-08-20T21:40:32.3363185Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0 2024-08-20T21:40:32.3366447Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file 2024-08-20T21:40:32.3369228Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/init.py::skip_init:0 2024-08-20T21:40:32.3372296Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 265 <- wrt source file 2024-08-20T21:40:32.3375445Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2024-08-20T21:40:32.3378657Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 360 <- wrt source file 2024-08-20T21:40:32.3381908Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2024-08-20T21:40:32.3385181Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 591 <- wrt source file 2024-08-20T21:40:32.3388443Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2024-08-20T21:40:32.3391903Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrize.py::register_parametrization:0, line 506 <- wrt source file 2024-08-20T21:40:32.3395281Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrize.py::register_parametrization:0 2024-08-20T21:40:32.3398417Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::identity:0, line 845 <- wrt source file 2024-08-20T21:40:32.3401223Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::identity:0 2024-08-20T21:40:32.3404191Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 881 <- wrt source file 2024-08-20T21:40:32.3407246Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2024-08-20T21:40:32.3410305Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 924 <- wrt source file 2024-08-20T21:40:32.3413262Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2024-08-20T21:40:32.3416172Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::remove:0, line 1191 <- wrt source file 2024-08-20T21:40:32.3418899Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::remove:0 2024-08-20T21:40:32.3421785Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1219 <- wrt source file 2024-08-20T21:40:32.3424610Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::is_pruned:0 2024-08-20T21:40:32.3427657Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 357 <- wrt source file 2024-08-20T21:40:32.3454470Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2024-08-20T21:40:32.3457432Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 435 <- wrt source file 2024-08-20T21:40:32.3460232Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2024-08-20T21:40:32.3463345Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 493 <- wrt source file 2024-08-20T21:40:32.3472744Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2024-08-20T21:40:32.3475649Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 549 <- wrt source file 2024-08-20T21:40:32.3480340Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2024-08-20T21:40:32.3483351Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 577 <- wrt source file 2024-08-20T21:40:32.3495902Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2024-08-20T21:40:32.3508847Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 313 <- wrt source file 2024-08-20T21:40:32.3512227Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2024-08-20T21:40:32.3515467Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 345 <- wrt source file 2024-08-20T21:40:32.3518457Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2024-08-20T21:40:32.3520264Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 214 <- wrt source file 2024-08-20T21:40:32.3522095Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/stateless.py::functional_call:0 2024-08-20T21:40:32.3523810Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 133 <- wrt source file 2024-08-20T21:40:32.3529032Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2024-08-20T21:40:32.3532158Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 155 <- wrt source file 2024-08-20T21:40:32.3535364Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2024-08-20T21:40:32.3538648Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 317 <- wrt source file 2024-08-20T21:40:32.3542047Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2024-08-20T21:40:32.3545801Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/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 2024-08-20T21:40:32.3562547Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0 2024-08-20T21:40:32.3566048Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 308 <- wrt source file 2024-08-20T21:40:32.3568930Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2024-08-20T21:40:32.3571957Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 410 <- wrt source file 2024-08-20T21:40:32.3575190Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2024-08-20T21:40:32.3578201Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 510 <- wrt source file 2024-08-20T21:40:32.3581110Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2024-08-20T21:40:32.3584062Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 570 <- wrt source file 2024-08-20T21:40:32.3587007Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2024-08-20T21:40:32.3589956Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 635 <- wrt source file 2024-08-20T21:40:32.3592862Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2024-08-20T21:40:32.3595795Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 713 <- wrt source file 2024-08-20T21:40:32.3598629Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2024-08-20T21:40:32.3601702Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 842 <- wrt source file 2024-08-20T21:40:32.3604661Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2024-08-20T21:40:32.3607676Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 979 <- wrt source file 2024-08-20T21:40:32.3610750Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2024-08-20T21:40:32.3613854Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1135 <- wrt source file 2024-08-20T21:40:32.3616956Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2024-08-20T21:40:32.3620101Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ReduceLROnPlateau:0, line 1278 <- wrt source file 2024-08-20T21:40:32.3623338Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ReduceLROnPlateau:0 2024-08-20T21:40:32.3626503Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1510 <- wrt source file 2024-08-20T21:40:32.3629364Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0 2024-08-20T21:40:32.3632622Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 1780 <- wrt source file 2024-08-20T21:40:32.3636146Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2024-08-20T21:40:32.3639702Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 1796 <- wrt source file 2024-08-20T21:40:32.3643172Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2024-08-20T21:40:32.3646420Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 1941 <- wrt source file 2024-08-20T21:40:32.3649448Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0 2024-08-20T21:40:32.3652354Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/swa_utils.py::update_bn:0, line 319 <- wrt source file 2024-08-20T21:40:32.3655157Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/swa_utils.py::update_bn:0 2024-08-20T21:40:32.3658057Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 257 <- wrt source file 2024-08-20T21:40:32.3661020Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2024-08-20T21:40:32.3664002Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 299 <- wrt source file 2024-08-20T21:40:32.3666963Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2024-08-20T21:40:32.3669909Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 329 <- wrt source file 2024-08-20T21:40:32.3672730Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2024-08-20T21:40:32.3675727Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 364 <- wrt source file 2024-08-20T21:40:32.3678588Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2024-08-20T21:40:32.3681551Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 399 <- wrt source file 2024-08-20T21:40:32.3684505Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2024-08-20T21:40:32.3687440Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 436 <- wrt source file 2024-08-20T21:40:32.3690241Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2024-08-20T21:40:32.3693219Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 812 <- wrt source file 2024-08-20T21:40:32.3696232Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2024-08-20T21:40:32.3699144Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_map:0, line 933 <- wrt source file 2024-08-20T21:40:32.3702010Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_map:0 2024-08-20T21:40:32.3705193Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 69 <- wrt source file 2024-08-20T21:40:32.3708669Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2024-08-20T21:40:32.3712349Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 322 <- wrt source file 2024-08-20T21:40:32.3716111Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0 2024-08-20T21:40:32.3719698Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0, line 354 <- wrt source file 2024-08-20T21:40:32.3723126Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0 2024-08-20T21:40:32.3726552Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 548 <- wrt source file 2024-08-20T21:40:32.3729735Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0 2024-08-20T21:40:32.3732989Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0, line 750 <- wrt source file 2024-08-20T21:40:32.3736227Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0 2024-08-20T21:40:32.3739271Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 72 <- wrt source file 2024-08-20T21:40:32.3742127Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/dlpack.py::from_dlpack:0 2024-08-20T21:40:32.3745099Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 98 <- wrt source file 2024-08-20T21:40:32.3748166Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2024-08-20T21:40:32.3751377Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 223 <- wrt source file 2024-08-20T21:40:32.3754375Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/dataset.py::StackDataset:0 2024-08-20T21:40:32.3757405Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/dataset.py::random_split:0, line 445 <- wrt source file 2024-08-20T21:40:32.3760396Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/dataset.py::random_split:0 2024-08-20T21:40:32.3763366Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/sampler.py::Sampler:0, line 42 <- wrt source file 2024-08-20T21:40:32.3766216Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/sampler.py::Sampler:0 2024-08-20T21:40:32.3769338Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 240 <- wrt source file 2024-08-20T21:40:32.3772579Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2024-08-20T21:40:32.3775756Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 303 <- wrt source file 2024-08-20T21:40:32.3778751Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2024-08-20T21:40:32.3781936Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file 2024-08-20T21:40:32.3785130Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2024-08-20T21:40:32.3788298Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file 2024-08-20T21:40:32.3791283Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::collate:0 2024-08-20T21:40:32.3794420Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 364 <- wrt source file 2024-08-20T21:40:32.3797751Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2024-08-20T21:40:32.3801083Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 96 <- wrt source file 2024-08-20T21:40:32.3804410Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2024-08-20T21:40:32.3807794Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 263 <- wrt source file 2024-08-20T21:40:32.3811122Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2024-08-20T21:40:32.3814675Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 51 <- wrt source file 2024-08-20T21:40:32.3818388Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2024-08-20T21:40:32.3822185Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 197 <- wrt source file 2024-08-20T21:40:32.3826130Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2024-08-20T21:40:32.3829999Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 87 <- wrt source file 2024-08-20T21:40:32.3833918Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2024-08-20T21:40:32.3837771Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 48 <- wrt source file 2024-08-20T21:40:32.3841514Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0 2024-08-20T21:40:32.3845272Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 98 <- wrt source file 2024-08-20T21:40:32.3848957Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0 2024-08-20T21:40:32.3852652Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 317 <- wrt source file 2024-08-20T21:40:32.3856214Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0 2024-08-20T21:40:32.3859969Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0, line 403 <- wrt source file 2024-08-20T21:40:32.3863928Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2024-08-20T21:40:32.3867844Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 613 <- wrt source file 2024-08-20T21:40:32.3871680Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2024-08-20T21:40:32.3875511Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 681 <- wrt source file 2024-08-20T21:40:32.3879324Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2024-08-20T21:40:32.3883128Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 30 <- wrt source file 2024-08-20T21:40:32.3886956Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2024-08-20T21:40:32.3890831Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 34 <- wrt source file 2024-08-20T21:40:32.3894673Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2024-08-20T21:40:32.3898481Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 62 <- wrt source file 2024-08-20T21:40:32.3902238Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0 2024-08-20T21:40:32.3905986Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 122 <- wrt source file 2024-08-20T21:40:32.3910299Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0 2024-08-20T21:40:32.3914061Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0, line 189 <- wrt source file 2024-08-20T21:40:32.3917749Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0 2024-08-20T21:40:32.3921466Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 36 <- wrt source file 2024-08-20T21:40:32.3925153Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2024-08-20T21:40:32.3929179Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 24 <- wrt source file 2024-08-20T21:40:32.3933138Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2024-08-20T21:40:32.3937017Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 26 <- wrt source file 2024-08-20T21:40:32.3940904Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2024-08-20T21:40:32.3944657Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 35 <- wrt source file 2024-08-20T21:40:32.3948249Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2024-08-20T21:40:32.3952023Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 33 <- wrt source file 2024-08-20T21:40:32.3955864Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2024-08-20T21:40:32.3959786Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 28 <- wrt source file 2024-08-20T21:40:32.3963484Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0 2024-08-20T21:40:32.3967180Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 72 <- wrt source file 2024-08-20T21:40:32.3970835Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0 2024-08-20T21:40:32.3974532Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 28 <- wrt source file 2024-08-20T21:40:32.3978169Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0 2024-08-20T21:40:32.3981948Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 26 <- wrt source file 2024-08-20T21:40:32.3985682Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2024-08-20T21:40:32.3989495Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 36 <- wrt source file 2024-08-20T21:40:32.3993091Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2024-08-20T21:40:32.3996688Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file 2024-08-20T21:40:32.4000186Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2024-08-20T21:40:32.4003617Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 433 <- wrt source file 2024-08-20T21:40:32.4006926Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2024-08-20T21:40:32.4010333Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 529 <- wrt source file 2024-08-20T21:40:32.4013707Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2024-08-20T21:40:32.4017164Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 216 <- wrt source file 2024-08-20T21:40:32.4020622Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2024-08-20T21:40:32.4024144Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 314 <- wrt source file 2024-08-20T21:40:32.4027769Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2024-08-20T21:40:32.4031284Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 362 <- wrt source file 2024-08-20T21:40:32.4034750Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2024-08-20T21:40:32.4038403Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 394 <- wrt source file 2024-08-20T21:40:32.4041879Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2024-08-20T21:40:32.4045421Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 441 <- wrt source file 2024-08-20T21:40:32.4048879Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2024-08-20T21:40:32.4052413Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 480 <- wrt source file 2024-08-20T21:40:32.4055951Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2024-08-20T21:40:32.4059576Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 533 <- wrt source file 2024-08-20T21:40:32.4063266Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0 2024-08-20T21:40:32.4066960Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 599 <- wrt source file 2024-08-20T21:40:32.4070397Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0 2024-08-20T21:40:32.4073890Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 648 <- wrt source file 2024-08-20T21:40:32.4077360Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0 2024-08-20T21:40:32.4080853Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 811 <- wrt source file 2024-08-20T21:40:32.4084288Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2024-08-20T21:40:32.4087816Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 878 <- wrt source file 2024-08-20T21:40:32.4091359Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2024-08-20T21:40:32.4094939Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 989 <- wrt source file 2024-08-20T21:40:32.4098465Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2024-08-20T21:40:32.4102367Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1063 <- wrt source file 2024-08-20T21:40:32.4106366Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2024-08-20T21:40:32.4110363Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1084 <- wrt source file 2024-08-20T21:40:32.4114390Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2024-08-20T21:40:32.4118215Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1108 <- wrt source file 2024-08-20T21:40:32.4121862Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2024-08-20T21:40:32.4125460Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1154 <- wrt source file 2024-08-20T21:40:32.4129023Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2024-08-20T21:40:32.4132293Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 190 <- wrt source file 2024-08-20T21:40:32.4135412Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2024-08-20T21:40:32.4138733Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 203 <- wrt source file 2024-08-20T21:40:32.4142418Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2024-08-20T21:40:32.4145642Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 825 <- wrt source file 2024-08-20T21:40:32.4148707Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2024-08-20T21:40:32.4151622Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/apis.py::grad:0, line 324 <- wrt source file 2024-08-20T21:40:32.4154275Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/apis.py::grad:0 2024-08-20T21:40:32.4157304Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file 2024-08-20T21:40:32.4160616Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2024-08-20T21:40:32.4163771Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 271 <- wrt source file 2024-08-20T21:40:32.4166713Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2024-08-20T21:40:32.4169727Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 510 <- wrt source file 2024-08-20T21:40:32.4172727Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2024-08-20T21:40:32.4175728Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1064 <- wrt source file 2024-08-20T21:40:32.5247700Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2024-08-20T21:40:32.5250850Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1219 <- wrt source file 2024-08-20T21:40:32.5306846Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2024-08-20T21:40:32.5310320Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1384 <- wrt source file 2024-08-20T21:40:32.5324217Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2024-08-20T21:40:32.5327581Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1548 <- wrt source file 2024-08-20T21:40:32.5330835Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2024-08-20T21:40:32.5334047Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1748 <- wrt source file 2024-08-20T21:40:32.5501862Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2024-08-20T21:40:32.5503682Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file 2024-08-20T21:40:32.5506047Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/functional_call.py::functional_call:0 2024-08-20T21:40:32.5509014Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2024-08-20T21:40:32.5511340Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2024-08-20T21:40:32.5513295Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py::CompilerWrapper.post_compile:0, line 110 <- wrt source file 2024-08-20T21:40:32.5515437Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py::CompilerWrapper.post_compile:0 2024-08-20T21:40:32.5517481Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 69 <- wrt source file 2024-08-20T21:40:32.5519380Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2024-08-20T21:40:32.5521147Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 81 <- wrt source file 2024-08-20T21:40:32.5522735Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_higher_order_ops/cond.py::cond:0 2024-08-20T21:40:32.5524424Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_higher_order_ops/while_loop.py::while_loop:0, line 90 <- wrt source file 2024-08-20T21:40:32.5526346Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_higher_order_ops/while_loop.py::while_loop:0 2024-08-20T21:40:32.5528057Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::custom_op:0, line 83 <- wrt source file 2024-08-20T21:40:32.5893019Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::custom_op:0 2024-08-20T21:40:32.5894843Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 212 <- wrt source file 2024-08-20T21:40:32.5961923Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2024-08-20T21:40:32.5963910Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 281 <- wrt source file 2024-08-20T21:40:32.5965976Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2024-08-20T21:40:32.5967861Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_fake:0, line 401 <- wrt source file 2024-08-20T21:40:32.6027741Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_fake:0 2024-08-20T21:40:32.6029633Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 524 <- wrt source file 2024-08-20T21:40:32.6158866Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2024-08-20T21:40:32.6160766Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 698 <- wrt source file 2024-08-20T21:40:32.6288088Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2024-08-20T21:40:32.6290346Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 184 <- wrt source file 2024-08-20T21:40:32.6292199Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2024-08-20T21:40:32.6294283Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 159 <- wrt source file 2024-08-20T21:40:32.6346278Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2024-08-20T21:40:32.6348134Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 45 <- wrt source file 2024-08-20T21:40:32.6352033Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/infer_schema.py::infer_schema:0 2024-08-20T21:40:32.6353865Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_logging/_internal.py::set_logs:0, line 417 <- wrt source file 2024-08-20T21:40:32.6355486Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_logging/_internal.py::set_logs:0 2024-08-20T21:40:32.6357178Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 170 <- wrt source file 2024-08-20T21:40:32.6410773Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_equal:0 2024-08-20T21:40:32.6412534Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 305 <- wrt source file 2024-08-20T21:40:32.6414313Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0 2024-08-20T21:40:32.6416089Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 996 <- wrt source file 2024-08-20T21:40:32.6469730Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2024-08-20T21:40:32.6471512Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1061 <- wrt source file 2024-08-20T21:40:32.6473280Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2024-08-20T21:40:32.6475248Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1282 <- wrt source file 2024-08-20T21:40:32.6526806Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2024-08-20T21:40:32.6528672Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1348 <- wrt source file 2024-08-20T21:40:32.6531067Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2024-08-20T21:40:32.6532924Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1411 <- wrt source file 2024-08-20T21:40:32.6535989Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2024-08-20T21:40:32.6537792Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1456 <- wrt source file 2024-08-20T21:40:32.6539493Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2024-08-20T21:40:32.6542231Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1566 <- wrt source file 2024-08-20T21:40:32.6544705Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2024-08-20T21:40:32.6547429Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 85 <- wrt source file 2024-08-20T21:40:32.6549235Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/context.py::TorchRefsMode:0 2024-08-20T21:40:32.6550899Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 60 <- wrt source file 2024-08-20T21:40:32.6552496Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2024-08-20T21:40:32.6554395Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 23 <- wrt source file 2024-08-20T21:40:32.6556389Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2024-08-20T21:40:32.6558538Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 22 <- wrt source file 2024-08-20T21:40:32.6560765Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2024-08-20T21:40:32.6562946Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file 2024-08-20T21:40:32.6565035Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2024-08-20T21:40:32.6567467Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 66 <- wrt source file 2024-08-20T21:40:32.6569795Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2024-08-20T21:40:32.6571943Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 140 <- wrt source file 2024-08-20T21:40:32.6574168Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2024-08-20T21:40:32.6576137Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 25 <- wrt source file 2024-08-20T21:40:32.6577957Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2024-08-20T21:40:32.6579762Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 318 <- wrt source file 2024-08-20T21:40:32.6596111Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2024-08-20T21:40:32.6598408Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 210 <- wrt source file 2024-08-20T21:40:32.6600715Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2024-08-20T21:40:32.6602489Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 282 <- wrt source file 2024-08-20T21:40:32.6604294Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2024-08-20T21:40:32.6606655Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 358 <- wrt source file 2024-08-20T21:40:32.6608389Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2024-08-20T21:40:32.6611120Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file 2024-08-20T21:40:32.6614257Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2024-08-20T21:40:32.6617144Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file 2024-08-20T21:40:32.6619821Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2024-08-20T21:40:32.6621875Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 42 <- wrt source file 2024-08-20T21:40:32.6624072Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2024-08-20T21:40:32.6626819Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 123 <- wrt source file 2024-08-20T21:40:32.6632630Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2024-08-20T21:40:32.6634577Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 207 <- wrt source file 2024-08-20T21:40:32.6636498Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2024-08-20T21:40:32.6638485Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 293 <- wrt source file 2024-08-20T21:40:32.6640556Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2024-08-20T21:40:32.6642843Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 375 <- wrt source file 2024-08-20T21:40:32.6646589Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2024-08-20T21:40:32.6650328Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 457 <- wrt source file 2024-08-20T21:40:32.6654004Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2024-08-20T21:40:32.6657599Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file 2024-08-20T21:40:32.6661201Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2024-08-20T21:40:32.6664704Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 516 <- wrt source file 2024-08-20T21:40:32.6668028Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2024-08-20T21:40:32.6671461Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 801 <- wrt source file 2024-08-20T21:40:32.6674786Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2024-08-20T21:40:32.6678231Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1203 <- wrt source file 2024-08-20T21:40:32.6681667Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2024-08-20T21:40:32.6685143Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1269 <- wrt source file 2024-08-20T21:40:32.6688609Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2024-08-20T21:40:32.6692100Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1322 <- wrt source file 2024-08-20T21:40:32.6695540Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2024-08-20T21:40:32.6698936Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file 2024-08-20T21:40:32.6702368Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2024-08-20T21:40:32.6705767Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 506 <- wrt source file 2024-08-20T21:40:32.6708951Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2024-08-20T21:40:32.6712160Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 635 <- wrt source file 2024-08-20T21:40:32.6715307Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2024-08-20T21:40:32.6718649Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 892 <- wrt source file 2024-08-20T21:40:32.6722153Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2024-08-20T21:40:32.6725615Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1014 <- wrt source file 2024-08-20T21:40:32.6729166Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2024-08-20T21:40:32.6732655Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1140 <- wrt source file 2024-08-20T21:40:32.6736093Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2024-08-20T21:40:32.6739590Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 112 <- wrt source file 2024-08-20T21:40:32.6743221Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2024-08-20T21:40:32.6746833Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 276 <- wrt source file 2024-08-20T21:40:32.6750521Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2024-08-20T21:40:32.6754274Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 24 <- wrt source file 2024-08-20T21:40:32.6758063Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2024-08-20T21:40:32.6761876Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 177 <- wrt source file 2024-08-20T21:40:32.6765603Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2024-08-20T21:40:32.6769117Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 138 <- wrt source file 2024-08-20T21:40:32.6772331Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2024-08-20T21:40:32.6776182Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py::ActivationSparsifier:0, line 62 <- wrt source file 2024-08-20T21:40:32.6780635Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py::ActivationSparsifier:0 2024-08-20T21:40:32.6785224Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file 2024-08-20T21:40:32.6789675Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0 2024-08-20T21:40:32.6794003Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file 2024-08-20T21:40:32.6798144Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2024-08-20T21:40:32.6802079Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 22 <- wrt source file 2024-08-20T21:40:32.6805541Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2024-08-20T21:40:32.6809096Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file 2024-08-20T21:40:32.6812710Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2024-08-20T21:40:32.6816195Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 178 <- wrt source file 2024-08-20T21:40:32.6819438Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2024-08-20T21:40:32.6822988Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 31 <- wrt source file 2024-08-20T21:40:32.6826650Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2024-08-20T21:40:32.6830290Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 76 <- wrt source file 2024-08-20T21:40:32.6833888Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2024-08-20T21:40:32.6837468Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 130 <- wrt source file 2024-08-20T21:40:32.6841069Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2024-08-20T21:40:32.6844752Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 163 <- wrt source file 2024-08-20T21:40:32.6848467Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2024-08-20T21:40:32.6851919Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 93 <- wrt source file 2024-08-20T21:40:32.6855045Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_args:0 2024-08-20T21:40:32.6858322Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 115 <- wrt source file 2024-08-20T21:40:32.6861841Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2024-08-20T21:40:32.6865159Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file 2024-08-20T21:40:32.6868281Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2024-08-20T21:40:32.6871490Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 286 <- wrt source file 2024-08-20T21:40:32.6874697Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2024-08-20T21:40:32.6878116Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 424 <- wrt source file 2024-08-20T21:40:32.6881439Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2024-08-20T21:40:32.6884720Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 595 <- wrt source file 2024-08-20T21:40:32.6887936Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2024-08-20T21:40:32.6891336Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 654 <- wrt source file 2024-08-20T21:40:32.6894845Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2024-08-20T21:40:32.6898521Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 706 <- wrt source file 2024-08-20T21:40:32.6902367Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2024-08-20T21:40:32.6906033Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 49 <- wrt source file 2024-08-20T21:40:32.6909358Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2024-08-20T21:40:32.6912761Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 123 <- wrt source file 2024-08-20T21:40:32.6916230Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2024-08-20T21:40:32.6919666Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 215 <- wrt source file 2024-08-20T21:40:32.6922968Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2024-08-20T21:40:32.6926398Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 145 <- wrt source file 2024-08-20T21:40:32.6929617Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2024-08-20T21:40:32.6932894Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 512 <- wrt source file 2024-08-20T21:40:32.6936167Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2024-08-20T21:40:32.6939567Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 534 <- wrt source file 2024-08-20T21:40:32.6942961Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2024-08-20T21:40:32.6946296Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 548 <- wrt source file 2024-08-20T21:40:32.6949550Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2024-08-20T21:40:32.6952804Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 570 <- wrt source file 2024-08-20T21:40:32.6956146Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2024-08-20T21:40:32.6959424Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 696 <- wrt source file 2024-08-20T21:40:32.6962614Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2024-08-20T21:40:32.6966190Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file 2024-08-20T21:40:32.6969978Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0 2024-08-20T21:40:32.6973769Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 84 <- wrt source file 2024-08-20T21:40:32.6977426Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0 2024-08-20T21:40:32.6981242Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 185 <- wrt source file 2024-08-20T21:40:32.6985019Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0 2024-08-20T21:40:32.6988852Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 439 <- wrt source file 2024-08-20T21:40:32.6992741Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2024-08-20T21:40:32.6996262Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 27 <- wrt source file 2024-08-20T21:40:32.6999385Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0 2024-08-20T21:40:32.7002444Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 83 <- wrt source file 2024-08-20T21:40:32.7005381Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/forward_ad.py::make_dual:0 2024-08-20T21:40:32.7008398Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 153 <- wrt source file 2024-08-20T21:40:32.7011415Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/forward_ad.py::unpack_dual:0 2024-08-20T21:40:32.7014438Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 189 <- wrt source file 2024-08-20T21:40:32.7017488Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/forward_ad.py::dual_level:0 2024-08-20T21:40:32.7020747Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 66 <- wrt source file 2024-08-20T21:40:32.7024154Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0 2024-08-20T21:40:32.7027729Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 109 <- wrt source file 2024-08-20T21:40:32.7031216Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0 2024-08-20T21:40:32.7034576Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 160 <- wrt source file 2024-08-20T21:40:32.7037825Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0 2024-08-20T21:40:32.7041255Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 207 <- wrt source file 2024-08-20T21:40:32.7044807Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0 2024-08-20T21:40:32.7048341Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 236 <- wrt source file 2024-08-20T21:40:32.7051846Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0 2024-08-20T21:40:32.7055084Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::Function:0, line 479 <- wrt source file 2024-08-20T21:40:32.7057978Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::Function:0 2024-08-20T21:40:32.7061011Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::vjp:0, line 294 <- wrt source file 2024-08-20T21:40:32.7063838Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::vjp:0 2024-08-20T21:40:32.7066717Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::jvp:0, line 396 <- wrt source file 2024-08-20T21:40:32.7069556Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::jvp:0 2024-08-20T21:40:32.7072484Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::jacobian:0, line 631 <- wrt source file 2024-08-20T21:40:32.7075426Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::jacobian:0 2024-08-20T21:40:32.7078406Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::hessian:0, line 885 <- wrt source file 2024-08-20T21:40:32.7081320Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::hessian:0 2024-08-20T21:40:32.7084221Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::vhp:0, line 1001 <- wrt source file 2024-08-20T21:40:32.7087056Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::vhp:0 2024-08-20T21:40:32.7090029Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::hvp:0, line 1100 <- wrt source file 2024-08-20T21:40:32.7092844Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::hvp:0 2024-08-20T21:40:32.7095707Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file 2024-08-20T21:40:32.7098564Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/grad_mode.py::no_grad:0 2024-08-20T21:40:32.7101624Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file 2024-08-20T21:40:32.7104597Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2024-08-20T21:40:32.7108236Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file 2024-08-20T21:40:32.7111325Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2024-08-20T21:40:32.7114446Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 232 <- wrt source file 2024-08-20T21:40:32.7117461Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/grad_mode.py::inference_mode:0 2024-08-20T21:40:32.7120440Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::Node.name:0, line 62 <- wrt source file 2024-08-20T21:40:32.7123288Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::Node.name:0 2024-08-20T21:40:32.7126518Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 112 <- wrt source file 2024-08-20T21:40:32.7129658Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_hook:0 2024-08-20T21:40:32.7132795Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 149 <- wrt source file 2024-08-20T21:40:32.7135988Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2024-08-20T21:40:32.7139107Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 272 <- wrt source file 2024-08-20T21:40:32.7142310Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2024-08-20T21:40:32.7145331Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 337 <- wrt source file 2024-08-20T21:40:32.7148197Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::save_on_cpu:0 2024-08-20T21:40:32.7151308Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 394 <- wrt source file 2024-08-20T21:40:32.7154561Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0 2024-08-20T21:40:32.7157828Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 471 <- wrt source file 2024-08-20T21:40:32.7160996Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0 2024-08-20T21:40:32.7164297Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 727 <- wrt source file 2024-08-20T21:40:32.7167718Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0 2024-08-20T21:40:32.7170869Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/profiler.py::profile:0, line 176 <- wrt source file 2024-08-20T21:40:32.7173748Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/profiler.py::profile:0 2024-08-20T21:40:32.7176761Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/profiler.py::record_function:0, line 695 <- wrt source file 2024-08-20T21:40:32.7179838Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/profiler.py::record_function:0 2024-08-20T21:40:32.7183052Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_itt:0, line 829 <- wrt source file 2024-08-20T21:40:32.7185950Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_itt:0 2024-08-20T21:40:32.7188893Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 902 <- wrt source file 2024-08-20T21:40:32.7191804Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_nvtx:0 2024-08-20T21:40:32.7194731Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file 2024-08-20T21:40:32.7197665Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2024-08-20T21:40:32.7200639Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file 2024-08-20T21:40:32.7203568Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2024-08-20T21:40:32.7206525Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 138 <- wrt source file 2024-08-20T21:40:32.7209499Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2024-08-20T21:40:32.7212613Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 171 <- wrt source file 2024-08-20T21:40:32.7215825Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2024-08-20T21:40:32.7218869Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2024-08-20T21:40:32.7221690Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/profiler.py::profile:0 2024-08-20T21:40:32.7224669Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 29 <- wrt source file 2024-08-20T21:40:32.7227835Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2024-08-20T21:40:32.7230799Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/beta.py::Beta:0, line 20 <- wrt source file 2024-08-20T21:40:32.7233604Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/beta.py::Beta:0 2024-08-20T21:40:32.7236574Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/binomial.py::Binomial:0, line 28 <- wrt source file 2024-08-20T21:40:32.7239721Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/binomial.py::Binomial:0 2024-08-20T21:40:32.7242897Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/categorical.py::Categorical:0, line 40 <- wrt source file 2024-08-20T21:40:32.7246091Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/categorical.py::Categorical:0 2024-08-20T21:40:32.7249184Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2024-08-20T21:40:32.7252089Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/cauchy.py::Cauchy:0 2024-08-20T21:40:32.7255093Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/chi2.py::Chi2:0, line 15 <- wrt source file 2024-08-20T21:40:32.7257921Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/chi2.py::Chi2:0 2024-08-20T21:40:32.7261065Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/constraints.py::is_dependent:0, line 160 <- wrt source file 2024-08-20T21:40:32.7264290Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/constraints.py::is_dependent:0 2024-08-20T21:40:32.7267612Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 181 <- wrt source file 2024-08-20T21:40:32.7270979Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2024-08-20T21:40:32.7274531Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 34 <- wrt source file 2024-08-20T21:40:32.7278150Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2024-08-20T21:40:32.7281509Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 39 <- wrt source file 2024-08-20T21:40:32.7284678Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2024-08-20T21:40:32.7287857Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/exponential.py::Exponential:0, line 19 <- wrt source file 2024-08-20T21:40:32.7291035Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/exponential.py::Exponential:0 2024-08-20T21:40:32.7294344Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2024-08-20T21:40:32.7297713Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2024-08-20T21:40:32.7300973Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/gamma.py::Gamma:0, line 23 <- wrt source file 2024-08-20T21:40:32.7303845Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/gamma.py::Gamma:0 2024-08-20T21:40:32.7306855Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/geometric.py::Geometric:0, line 34 <- wrt source file 2024-08-20T21:40:32.7309940Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/geometric.py::Geometric:0 2024-08-20T21:40:32.7312985Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 21 <- wrt source file 2024-08-20T21:40:32.7315970Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/gumbel.py::Gumbel:0 2024-08-20T21:40:32.7319009Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 23 <- wrt source file 2024-08-20T21:40:32.7322151Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2024-08-20T21:40:32.7325317Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 23 <- wrt source file 2024-08-20T21:40:32.7328575Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2024-08-20T21:40:32.7331866Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/independent.py::Independent:0, line 23 <- wrt source file 2024-08-20T21:40:32.7335087Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/independent.py::Independent:0 2024-08-20T21:40:32.7338361Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 21 <- wrt source file 2024-08-20T21:40:32.7341719Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2024-08-20T21:40:32.7344991Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 28 <- wrt source file 2024-08-20T21:40:32.7348178Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2024-08-20T21:40:32.7351316Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/laplace.py::Laplace:0, line 19 <- wrt source file 2024-08-20T21:40:32.7354281Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/laplace.py::Laplace:0 2024-08-20T21:40:32.7357389Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 41 <- wrt source file 2024-08-20T21:40:32.7360651Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2024-08-20T21:40:32.7363830Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 20 <- wrt source file 2024-08-20T21:40:32.7366903Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/log_normal.py::LogNormal:0 2024-08-20T21:40:32.7370158Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 25 <- wrt source file 2024-08-20T21:40:32.7373501Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2024-08-20T21:40:32.7377225Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 61 <- wrt source file 2024-08-20T21:40:32.7381373Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0 2024-08-20T21:40:32.7384964Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 36 <- wrt source file 2024-08-20T21:40:32.7388164Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/multinomial.py::Multinomial:0 2024-08-20T21:40:32.7391673Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 101 <- wrt source file 2024-08-20T21:40:32.7395269Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2024-08-20T21:40:32.7398537Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/normal.py::Normal:0, line 21 <- wrt source file 2024-08-20T21:40:32.7401439Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/normal.py::Normal:0 2024-08-20T21:40:32.7404695Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 31 <- wrt source file 2024-08-20T21:40:32.7408271Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2024-08-20T21:40:32.7411504Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/pareto.py::Pareto:0, line 17 <- wrt source file 2024-08-20T21:40:32.7414430Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/pareto.py::Pareto:0 2024-08-20T21:40:32.7417426Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/poisson.py::Poisson:0, line 23 <- wrt source file 2024-08-20T21:40:32.7420385Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/poisson.py::Poisson:0 2024-08-20T21:40:32.7423507Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/studentT.py::StudentT:0, line 21 <- wrt source file 2024-08-20T21:40:32.7426671Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/studentT.py::StudentT:0 2024-08-20T21:40:32.7429855Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1033 <- wrt source file 2024-08-20T21:40:32.7433066Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/transforms.py::CatTransform:0 2024-08-20T21:40:32.7436383Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1139 <- wrt source file 2024-08-20T21:40:32.7439648Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/transforms.py::StackTransform:0 2024-08-20T21:40:32.7443196Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1213 <- wrt source file 2024-08-20T21:40:32.7446927Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0 2024-08-20T21:40:32.7450286Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file 2024-08-20T21:40:32.7453247Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/uniform.py::Uniform:0 2024-08-20T21:40:32.7456285Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/utils.py::clamp_probs:0, line 107 <- wrt source file 2024-08-20T21:40:32.7459296Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/utils.py::clamp_probs:0 2024-08-20T21:40:32.7462428Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/von_mises.py::VonMises:0, line 115 <- wrt source file 2024-08-20T21:40:32.7465462Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/von_mises.py::VonMises:0 2024-08-20T21:40:32.7468581Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/weibull.py::Weibull:0, line 19 <- wrt source file 2024-08-20T21:40:32.7475795Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/weibull.py::Weibull:0 2024-08-20T21:40:32.7478817Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/wishart.py::Wishart:0, line 40 <- wrt source file 2024-08-20T21:40:32.7481788Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/wishart.py::Wishart:0 2024-08-20T21:40:32.7484911Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 720 <- wrt source file 2024-08-20T21:40:32.7488277Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0 2024-08-20T21:40:32.7491278Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/masked/_ops.py::logaddexp:0, line 1511 <- wrt source file 2024-08-20T21:40:32.7494032Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/masked/_ops.py::logaddexp:0 2024-08-20T21:40:32.7497083Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file 2024-08-20T21:40:32.7500316Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0 2024-08-20T21:40:32.7503508Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/package/glob_group.py::GlobGroup:0, line 21 <- wrt source file 2024-08-20T21:40:32.7506389Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/package/glob_group.py::GlobGroup:0 2024-08-20T21:40:32.7509326Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/profiler/profiler.py::profile:0, line 534 <- wrt source file 2024-08-20T21:40:32.7512184Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/profiler/profiler.py::profile:0 2024-08-20T21:40:32.7515377Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 337 <- wrt source file 2024-08-20T21:40:32.7518748Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2024-08-20T21:40:32.7521926Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_creation.py::make_tensor:0, line 113 <- wrt source file 2024-08-20T21:40:32.7524853Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_creation.py::make_tensor:0 2024-08-20T21:40:32.7528102Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 591 <- wrt source file 2024-08-20T21:40:32.7531333Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::parametrize:0 2024-08-20T21:40:32.7534619Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0, line 746 <- wrt source file 2024-08-20T21:40:32.7537852Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0 2024-08-20T21:40:32.7541345Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 4346 <- wrt source file 2024-08-20T21:40:32.7544935Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0 2024-08-20T21:40:32.7548642Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0, line 4360 <- wrt source file 2024-08-20T21:40:32.7552218Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0 2024-08-20T21:40:32.7555820Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0, line 4390 <- wrt source file 2024-08-20T21:40:32.7559372Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0 2024-08-20T21:40:32.7562922Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0, line 192 <- wrt source file 2024-08-20T21:40:32.7566249Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0 2024-08-20T21:40:32.7569939Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 288 <- wrt source file 2024-08-20T21:40:32.7573886Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0 2024-08-20T21:40:32.7577869Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file 2024-08-20T21:40:32.7581979Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0 2024-08-20T21:40:32.7584037Z ============ 2024-08-20T21:40:32.7584593Z Finished doctests 2024-08-20T21:40:32.7585086Z 335 / 695 passed 2024-08-20T21:40:32.7585568Z  2024-08-20T21:40:32.7586191Z === Found 101 parse-time warnings === 2024-08-20T21:40:32.7587193Z --- Parse Warning: 1 / 101 --- 2024-08-20T21:40:32.7590136Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=meshgrid in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py line=426. 2024-08-20T21:40:32.7593205Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.7594703Z Creates grids of coordinates specified by the 1D inputs in `attr`:tensors. 2024-08-20T21:40:32.7595745Z 2024-08-20T21:40:32.7596394Z This is helpful when you want to visualize data over some 2024-08-20T21:40:32.7597488Z range of inputs. See below for a plotting example. 2024-08-20T21:40:32.7598306Z 2024-08-20T21:40:32.7599065Z Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as 2024-08-20T21:40:32.7600286Z inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`, 2024-08-20T21:40:32.7601598Z this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots 2024-08-20T21:40:32.7602855Z G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where 2024-08-20T21:40:32.7603973Z the output :math:`G_i` is constructed by expanding :math:`T_i` 2024-08-20T21:40:32.7604943Z to the result shape. 2024-08-20T21:40:32.7605531Z 2024-08-20T21:40:32.7605925Z .. note:: 2024-08-20T21:40:32.7606626Z 0D inputs are treated equivalently to 1D inputs of a 2024-08-20T21:40:32.7607497Z single element. 2024-08-20T21:40:32.7608051Z 2024-08-20T21:40:32.7608464Z .. warning:: 2024-08-20T21:40:32.7609247Z `torch.meshgrid(*tensors)` currently has the same behavior 2024-08-20T21:40:32.7610527Z as calling `numpy.meshgrid(*arrays, indexing='ij')`. 2024-08-20T21:40:32.7611356Z 2024-08-20T21:40:32.7611942Z In the future `torch.meshgrid` will transition to 2024-08-20T21:40:32.7612950Z `indexing='xy'` as the default. 2024-08-20T21:40:32.7613629Z 2024-08-20T21:40:32.7614261Z https://github.com/pytorch/pytorch/issues/50276 tracks 2024-08-20T21:40:32.7615512Z this issue with the goal of migrating to NumPy's behavior. 2024-08-20T21:40:32.7616384Z 2024-08-20T21:40:32.7616796Z .. seealso:: 2024-08-20T21:40:32.7617301Z 2024-08-20T21:40:32.7617912Z :func:`torch.cartesian_prod` has the same effect but it 2024-08-20T21:40:32.7618916Z collects the data in a tensor of vectors. 2024-08-20T21:40:32.7619662Z 2024-08-20T21:40:32.7620122Z Args: 2024-08-20T21:40:32.7621138Z tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be 2024-08-20T21:40:32.7622468Z treated as tensors of size :math:`(1,)` automatically 2024-08-20T21:40:32.7623294Z 2024-08-20T21:40:32.7623931Z indexing: (str, optional): the indexing mode, either "xy" 2024-08-20T21:40:32.7625060Z or "ij", defaults to "ij". See warning for future changes. 2024-08-20T21:40:32.7626047Z 2024-08-20T21:40:32.7626658Z If "xy" is selected, the first dimension corresponds 2024-08-20T21:40:32.7627721Z to the cardinality of the second input and the second 2024-08-20T21:40:32.7628804Z dimension corresponds to the cardinality of the first 2024-08-20T21:40:32.7629689Z input. 2024-08-20T21:40:32.7630207Z 2024-08-20T21:40:32.7630792Z If "ij" is selected, the dimensions are in the same 2024-08-20T21:40:32.7631765Z order as the cardinality of the inputs. 2024-08-20T21:40:32.7632511Z 2024-08-20T21:40:32.7632902Z Returns: 2024-08-20T21:40:32.7633598Z seq (sequence of Tensors): If the input has :math:`N` 2024-08-20T21:40:32.7634798Z tensors of size :math:`S_0 \ldots S_{N-1}``, then the 2024-08-20T21:40:32.7635964Z output will also have :math:`N` tensors, where each tensor 2024-08-20T21:40:32.7637097Z is of shape :math:`(S_0, ..., S_{N-1})`. 2024-08-20T21:40:32.7637812Z 2024-08-20T21:40:32.7638242Z Example:: 2024-08-20T21:40:32.7638719Z 2024-08-20T21:40:32.7639189Z >>> x = torch.tensor([1, 2, 3]) 2024-08-20T21:40:32.7639955Z >>> y = torch.tensor([4, 5, 6]) 2024-08-20T21:40:32.7640637Z 2024-08-20T21:40:32.7641436Z Observe the element-wise pairings across the grid, (1, 4), 2024-08-20T21:40:32.7642489Z (1, 5), ..., (3, 6). This is the same thing as the 2024-08-20T21:40:32.7643323Z cartesian product. 2024-08-20T21:40:32.7644272Z >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij') 2024-08-20T21:40:32.7645110Z >>> grid_x 2024-08-20T21:40:32.7645669Z tensor([[1, 1, 1], 2024-08-20T21:40:32.7646285Z [2, 2, 2], 2024-08-20T21:40:32.7646882Z [3, 3, 3]]) 2024-08-20T21:40:32.7647495Z >>> grid_y 2024-08-20T21:40:32.7648045Z tensor([[4, 5, 6], 2024-08-20T21:40:32.7648647Z [4, 5, 6], 2024-08-20T21:40:32.7649252Z [4, 5, 6]]) 2024-08-20T21:40:32.7649837Z 2024-08-20T21:40:32.7650442Z This correspondence can be seen when these grids are 2024-08-20T21:40:32.7651339Z stacked properly. 2024-08-20T21:40:32.7652241Z >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))), 2024-08-20T21:40:32.7653319Z ... torch.cartesian_prod(x, y)) 2024-08-20T21:40:32.7654154Z True 2024-08-20T21:40:32.7654623Z 2024-08-20T21:40:32.7655253Z `torch.meshgrid` is commonly used to produce a grid for 2024-08-20T21:40:32.7656123Z plotting. 2024-08-20T21:40:32.7656792Z >>> # xdoctest: +REQUIRES(module:matplotlib) 2024-08-20T21:40:32.7657685Z >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW) 2024-08-20T21:40:32.7658539Z >>> import matplotlib.pyplot as plt 2024-08-20T21:40:32.7659517Z >>> xs = torch.linspace(-5, 5, steps=100) 2024-08-20T21:40:32.7660621Z >>> ys = torch.linspace(-5, 5, steps=100) 2024-08-20T21:40:32.7661633Z >>> x, y = torch.meshgrid(xs, ys, indexing='xy') 2024-08-20T21:40:32.7662552Z >>> z = torch.sin(torch.sqrt(x * x + y * y)) 2024-08-20T21:40:32.7663540Z >>> ax = plt.axes(projection='3d') 2024-08-20T21:40:32.7664547Z >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy()) 2024-08-20T21:40:32.7665392Z >>> plt.show() 2024-08-20T21:40:32.7665950Z 2024-08-20T21:40:32.7666438Z .. image:: ../_static/img/meshgrid.png 2024-08-20T21:40:32.7667187Z :width: 512 2024-08-20T21:40:32.7667722Z 2024-08-20T21:40:32.7668095Z 2024-08-20T21:40:32.7669088Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.7670128Z 2024-08-20T21:40:32.7670535Z warnings.warn(msg) 2024-08-20T21:40:32.7671056Z 2024-08-20T21:40:32.7671638Z --- Parse Warning: 2 / 101 --- 2024-08-20T21:40:32.7674585Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_unique_impl in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py line=815. 2024-08-20T21:40:32.7677697Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.7679692Z unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> Tuple[Tensor, Tensor, Tensor] 2024-08-20T21:40:32.7681055Z 2024-08-20T21:40:32.7681630Z Returns the unique elements of the input tensor. 2024-08-20T21:40:32.7682411Z 2024-08-20T21:40:32.7683405Z .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that 2024-08-20T21:40:32.7685021Z this function also eliminates non-consecutive duplicate values. 2024-08-20T21:40:32.7685963Z 2024-08-20T21:40:32.7686742Z .. note:: Currently in the CUDA implementation and the CPU implementation, 2024-08-20T21:40:32.7688299Z `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument. 2024-08-20T21:40:32.7690050Z Sorting could be slow, so if your input tensor is already sorted, it is recommended to use 2024-08-20T21:40:32.7691493Z :func:`torch.unique_consecutive` which avoids the sorting. 2024-08-20T21:40:32.7692351Z 2024-08-20T21:40:32.7692754Z Args: 2024-08-20T21:40:32.7693274Z input (Tensor): the input tensor 2024-08-20T21:40:32.7694312Z sorted (bool): Whether to sort the unique elements in ascending order 2024-08-20T21:40:32.7695373Z before returning as output. 2024-08-20T21:40:32.7696399Z return_inverse (bool): Whether to also return the indices for where 2024-08-20T21:40:32.7697725Z elements in the original input ended up in the returned unique list. 2024-08-20T21:40:32.7699077Z return_counts (bool): Whether to also return the counts for each unique 2024-08-20T21:40:32.7700091Z element. 2024-08-20T21:40:32.7701017Z dim (int, optional): the dimension to operate upon. If ``None``, the 2024-08-20T21:40:32.7702311Z unique of the flattened input is returned. Otherwise, each of the 2024-08-20T21:40:32.7703600Z tensors indexed by the given dimension is treated as one of the 2024-08-20T21:40:32.7704985Z elements to apply the unique operation upon. See examples for more 2024-08-20T21:40:32.7706018Z details. Default: ``None`` 2024-08-20T21:40:32.7706686Z 2024-08-20T21:40:32.7707086Z Returns: 2024-08-20T21:40:32.7708042Z (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing 2024-08-20T21:40:32.7709180Z 2024-08-20T21:40:32.7710024Z - **output** (*Tensor*): the output list of unique scalar elements. 2024-08-20T21:40:32.7711212Z - **inverse_indices** (*Tensor*): (optional) if 2024-08-20T21:40:32.7712249Z :attr:`return_inverse` is True, there will be an additional 2024-08-20T21:40:32.7713455Z returned tensor (same shape as input) representing the indices 2024-08-20T21:40:32.7714808Z for where elements in the original input map to in the output; 2024-08-20T21:40:32.7716018Z otherwise, this function will only return a single tensor. 2024-08-20T21:40:32.7717134Z - **counts** (*Tensor*): (optional) if 2024-08-20T21:40:32.7718113Z :attr:`return_counts` is True, there will be an additional 2024-08-20T21:40:32.7719264Z returned tensor (same shape as output or output.size(dim), 2024-08-20T21:40:32.7720462Z if dim was specified) representing the number of occurrences 2024-08-20T21:40:32.7721481Z for each unique value or tensor. 2024-08-20T21:40:32.7722178Z 2024-08-20T21:40:32.7722577Z Example:: 2024-08-20T21:40:32.7723030Z 2024-08-20T21:40:32.7723744Z >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long)) 2024-08-20T21:40:32.7724726Z >>> output 2024-08-20T21:40:32.7725245Z tensor([1, 2, 3]) 2024-08-20T21:40:32.7725956Z 2024-08-20T21:40:32.7726489Z >>> output, inverse_indices = torch.unique( 2024-08-20T21:40:32.7727665Z ... torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True) 2024-08-20T21:40:32.7728723Z >>> output 2024-08-20T21:40:32.7729245Z tensor([1, 2, 3]) 2024-08-20T21:40:32.7729838Z >>> inverse_indices 2024-08-20T21:40:32.7730521Z tensor([0, 2, 1, 2]) 2024-08-20T21:40:32.7764188Z 2024-08-20T21:40:32.7764929Z >>> output, inverse_indices = torch.unique( 2024-08-20T21:40:32.7766152Z ... torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True) 2024-08-20T21:40:32.7767230Z >>> output 2024-08-20T21:40:32.7767745Z tensor([1, 2, 3]) 2024-08-20T21:40:32.7768341Z >>> inverse_indices 2024-08-20T21:40:32.7768956Z tensor([[0, 2], 2024-08-20T21:40:32.7769503Z [1, 2]]) 2024-08-20T21:40:32.7770044Z 2024-08-20T21:40:32.7770495Z >>> a = torch.tensor([ 2024-08-20T21:40:32.7771105Z ... [ 2024-08-20T21:40:32.7771624Z ... [1, 1, 0, 0], 2024-08-20T21:40:32.7772276Z ... [1, 1, 0, 0], 2024-08-20T21:40:32.7772904Z ... [0, 0, 1, 1], 2024-08-20T21:40:32.7773525Z ... ], 2024-08-20T21:40:32.7774028Z ... [ 2024-08-20T21:40:32.7774527Z ... [0, 0, 1, 1], 2024-08-20T21:40:32.7775174Z ... [0, 0, 1, 1], 2024-08-20T21:40:32.7775819Z ... [1, 1, 1, 1], 2024-08-20T21:40:32.7776424Z ... ], 2024-08-20T21:40:32.7776921Z ... [ 2024-08-20T21:40:32.7777421Z ... [1, 1, 0, 0], 2024-08-20T21:40:32.7778045Z ... [1, 1, 0, 0], 2024-08-20T21:40:32.7778684Z ... [0, 0, 1, 1], 2024-08-20T21:40:32.7779306Z ... ], 2024-08-20T21:40:32.7779788Z ... ]) 2024-08-20T21:40:32.7780253Z 2024-08-20T21:40:32.7781135Z >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]` 2024-08-20T21:40:32.7782677Z >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match 2024-08-20T21:40:32.7783828Z >>> # each other, so one of them will be removed. 2024-08-20T21:40:32.7784689Z >>> (a[0, :, :] == a[2, :, :]).all() 2024-08-20T21:40:32.7785392Z tensor(True) 2024-08-20T21:40:32.7786027Z >>> a_unique_dim0 = torch.unique(a, dim=0) 2024-08-20T21:40:32.7786801Z >>> a_unique_dim0 2024-08-20T21:40:32.7787384Z tensor([[[0, 0, 1, 1], 2024-08-20T21:40:32.7788014Z [0, 0, 1, 1], 2024-08-20T21:40:32.7788635Z [1, 1, 1, 1]], 2024-08-20T21:40:32.7789252Z [[1, 1, 0, 0], 2024-08-20T21:40:32.7789869Z [1, 1, 0, 0], 2024-08-20T21:40:32.7790493Z [0, 0, 1, 1]]]) 2024-08-20T21:40:32.7791196Z 2024-08-20T21:40:32.7792168Z >>> # Notice which sub-tensors from `a` match with the sub-tensors from 2024-08-20T21:40:32.7793205Z >>> # `a_unique_dim0`: 2024-08-20T21:40:32.7793928Z >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all() 2024-08-20T21:40:32.7794703Z tensor(True) 2024-08-20T21:40:32.7795355Z >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all() 2024-08-20T21:40:32.7796109Z tensor(True) 2024-08-20T21:40:32.7796623Z 2024-08-20T21:40:32.7797362Z >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are 2024-08-20T21:40:32.7798624Z >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of 2024-08-20T21:40:32.7799614Z >>> # them will be removed. 2024-08-20T21:40:32.7800340Z >>> (a[:, 0, :] == a[:, 1, :]).all() 2024-08-20T21:40:32.7801034Z tensor(True) 2024-08-20T21:40:32.7801617Z >>> torch.unique(a, dim=1) 2024-08-20T21:40:32.7802308Z tensor([[[0, 0, 1, 1], 2024-08-20T21:40:32.7802928Z [1, 1, 0, 0]], 2024-08-20T21:40:32.7803555Z [[1, 1, 1, 1], 2024-08-20T21:40:32.7804174Z [0, 0, 1, 1]], 2024-08-20T21:40:32.7804791Z [[0, 0, 1, 1], 2024-08-20T21:40:32.7805409Z [1, 1, 0, 0]]]) 2024-08-20T21:40:32.7806072Z 2024-08-20T21:40:32.7806814Z >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared. 2024-08-20T21:40:32.7808072Z >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and 2024-08-20T21:40:32.7809246Z >>> # `a[:, :, 3]` match each other as well. So in this case, two of the 2024-08-20T21:40:32.7810394Z >>> # sub-tensors will be removed. 2024-08-20T21:40:32.7811171Z >>> (a[:, :, 0] == a[:, :, 1]).all() 2024-08-20T21:40:32.7811886Z tensor(True) 2024-08-20T21:40:32.7812469Z >>> (a[:, :, 2] == a[:, :, 3]).all() 2024-08-20T21:40:32.7813195Z tensor(True) 2024-08-20T21:40:32.7813777Z >>> torch.unique(a, dim=2) 2024-08-20T21:40:32.7814444Z tensor([[[0, 1], 2024-08-20T21:40:32.7815011Z [0, 1], 2024-08-20T21:40:32.7815570Z [1, 0]], 2024-08-20T21:40:32.7816121Z [[1, 0], 2024-08-20T21:40:32.7816683Z [1, 0], 2024-08-20T21:40:32.7817240Z [1, 1]], 2024-08-20T21:40:32.7817790Z [[0, 1], 2024-08-20T21:40:32.7818346Z [0, 1], 2024-08-20T21:40:32.7818898Z [1, 0]]]) 2024-08-20T21:40:32.7819439Z 2024-08-20T21:40:32.7820424Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.7821572Z 2024-08-20T21:40:32.7821988Z warnings.warn(msg) 2024-08-20T21:40:32.7822518Z 2024-08-20T21:40:32.7823123Z --- Parse Warning: 3 / 101 --- 2024-08-20T21:40:32.7826060Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py line=560. 2024-08-20T21:40:32.7829184Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.7830261Z 2024-08-20T21:40:32.7830866Z Load a model from a github repo or a local directory. 2024-08-20T21:40:32.7831674Z 2024-08-20T21:40:32.7832479Z Note: Loading a model is the typical use case, but this can also be used to 2024-08-20T21:40:32.7833837Z for loading other objects such as tokenizers, loss functions, etc. 2024-08-20T21:40:32.7834779Z 2024-08-20T21:40:32.7835530Z If ``source`` is 'github', ``repo_or_dir`` is expected to be 2024-08-20T21:40:32.7836624Z of the form ``repo_owner/repo_name[:ref]`` with an optional 2024-08-20T21:40:32.7837512Z ref (a tag or a branch). 2024-08-20T21:40:32.7838075Z 2024-08-20T21:40:32.7838921Z If ``source`` is 'local', ``repo_or_dir`` is expected to be a 2024-08-20T21:40:32.7839847Z path to a local directory. 2024-08-20T21:40:32.7840437Z 2024-08-20T21:40:32.7840835Z Args: 2024-08-20T21:40:32.7841479Z repo_or_dir (str): If ``source`` is 'github', 2024-08-20T21:40:32.7842778Z this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with 2024-08-20T21:40:32.7844733Z an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified, 2024-08-20T21:40:32.7846438Z the default branch is assumed to be ``main`` if it exists, and otherwise ``master``. 2024-08-20T21:40:32.7848058Z If ``source`` is 'local' then it should be a path to a local directory. 2024-08-20T21:40:32.7849344Z model (str): the name of a callable (entrypoint) defined in the 2024-08-20T21:40:32.7850418Z repo/dir's ``hubconf.py``. 2024-08-20T21:40:32.7851367Z *args (optional): the corresponding args for callable ``model``. 2024-08-20T21:40:32.7852664Z source (str, optional): 'github' or 'local'. Specifies how 2024-08-20T21:40:32.7853911Z ``repo_or_dir`` is to be interpreted. Default is 'github'. 2024-08-20T21:40:32.7855140Z trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``. 2024-08-20T21:40:32.7856576Z This parameter was introduced in v1.12 and helps ensuring that users 2024-08-20T21:40:32.7857712Z only run code from repos that they trust. 2024-08-20T21:40:32.7858452Z 2024-08-20T21:40:32.7859296Z - If ``False``, a prompt will ask the user whether the repo should 2024-08-20T21:40:32.7860244Z be trusted. 2024-08-20T21:40:32.7861291Z - If ``True``, the repo will be added to the trusted list and loaded 2024-08-20T21:40:32.7862382Z without requiring explicit confirmation. 2024-08-20T21:40:32.7863530Z - If ``"check"``, the repo will be checked against the list of 2024-08-20T21:40:32.7864740Z trusted repos in the cache. If it is not present in that list, the 2024-08-20T21:40:32.7866020Z behaviour will fall back onto the ``trust_repo=False`` option. 2024-08-20T21:40:32.7867374Z - If ``None``: this will raise a warning, inviting the user to set 2024-08-20T21:40:32.7868583Z ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This 2024-08-20T21:40:32.7869821Z is only present for backward compatibility and will be removed in 2024-08-20T21:40:32.7870798Z v2.0. 2024-08-20T21:40:32.7871264Z 2024-08-20T21:40:32.7871985Z Default is ``None`` and will eventually change to ``"check"`` in v2.0. 2024-08-20T21:40:32.7873285Z force_reload (bool, optional): whether to force a fresh download of 2024-08-20T21:40:32.7874546Z the github repo unconditionally. Does not have any effect if 2024-08-20T21:40:32.7875694Z ``source = 'local'``. Default is ``False``. 2024-08-20T21:40:32.7876820Z verbose (bool, optional): If ``False``, mute messages about hitting 2024-08-20T21:40:32.7878108Z local caches. Note that the message about first download cannot be 2024-08-20T21:40:32.7879421Z muted. Does not have any effect if ``source = 'local'``. 2024-08-20T21:40:32.7880329Z Default is ``True``. 2024-08-20T21:40:32.7881476Z skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit 2024-08-20T21:40:32.7883163Z specified by the ``github`` argument properly belongs to the repo owner. This will make 2024-08-20T21:40:32.7885014Z requests to the GitHub API; you can specify a non-default GitHub token by setting the 2024-08-20T21:40:32.7886434Z ``GITHUB_TOKEN`` environment variable. Default is ``False``. 2024-08-20T21:40:32.7887663Z **kwargs (optional): the corresponding kwargs for callable ``model``. 2024-08-20T21:40:32.7888693Z 2024-08-20T21:40:32.7889097Z Returns: 2024-08-20T21:40:32.7889834Z The output of the ``model`` callable when called with the given 2024-08-20T21:40:32.7890789Z ``*args`` and ``**kwargs``. 2024-08-20T21:40:32.7891408Z 2024-08-20T21:40:32.7891799Z Example: 2024-08-20T21:40:32.7892368Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2024-08-20T21:40:32.7893178Z >>> # from a github repo 2024-08-20T21:40:32.7893828Z >>> repo = "pytorch/vision" 2024-08-20T21:40:32.7894495Z >>> model = torch.hub.load( 2024-08-20T21:40:32.7895393Z ... repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1" 2024-08-20T21:40:32.7896295Z ... ) 2024-08-20T21:40:32.7896773Z >>> # from a local directory 2024-08-20T21:40:32.7897537Z >>> path = "/some/local/path/pytorch/vision" 2024-08-20T21:40:32.7898318Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.7899300Z >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT") 2024-08-20T21:40:32.7900349Z 2024-08-20T21:40:32.7901405Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.7902446Z 2024-08-20T21:40:32.7902890Z warnings.warn(msg) 2024-08-20T21:40:32.7903421Z 2024-08-20T21:40:32.7904004Z --- Parse Warning: 4 / 101 --- 2024-08-20T21:40:32.7907033Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=download_url_to_file in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py line=687. 2024-08-20T21:40:32.7910135Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.7911378Z Download object at the given URL to a local path. 2024-08-20T21:40:32.7912160Z 2024-08-20T21:40:32.7912556Z Args: 2024-08-20T21:40:32.7913111Z url (str): URL of the object to download 2024-08-20T21:40:32.7914283Z dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file`` 2024-08-20T21:40:32.7915995Z hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``. 2024-08-20T21:40:32.7917307Z Default: None 2024-08-20T21:40:32.7918293Z progress (bool, optional): whether or not to display a progress bar to stderr 2024-08-20T21:40:32.7919414Z Default: True 2024-08-20T21:40:32.7919968Z 2024-08-20T21:40:32.7920358Z Example: 2024-08-20T21:40:32.7920970Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2024-08-20T21:40:32.7921836Z >>> # xdoctest: +REQUIRES(POSIX) 2024-08-20T21:40:32.7922621Z >>> torch.hub.download_url_to_file( 2024-08-20T21:40:32.7923844Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth", 2024-08-20T21:40:32.7924893Z ... "/tmp/temporary_file", 2024-08-20T21:40:32.7925559Z ... ) 2024-08-20T21:40:32.7926155Z 2024-08-20T21:40:32.7926635Z 2024-08-20T21:40:32.7927601Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.7928650Z 2024-08-20T21:40:32.7929076Z warnings.warn(msg) 2024-08-20T21:40:32.7929591Z 2024-08-20T21:40:32.7930188Z --- Parse Warning: 5 / 101 --- 2024-08-20T21:40:32.7933191Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_state_dict_from_url in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py line=812. 2024-08-20T21:40:32.7936343Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.7937590Z Loads the Torch serialized object at the given URL. 2024-08-20T21:40:32.7938391Z 2024-08-20T21:40:32.7939047Z If downloaded file is a zip file, it will be automatically 2024-08-20T21:40:32.7939950Z decompressed. 2024-08-20T21:40:32.7940539Z 2024-08-20T21:40:32.7941574Z If the object is already present in `model_dir`, it's deserialized and 2024-08-20T21:40:32.7942582Z returned. 2024-08-20T21:40:32.7943395Z The default value of ``model_dir`` is ``/checkpoints`` where 2024-08-20T21:40:32.7944693Z ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`. 2024-08-20T21:40:32.7945617Z 2024-08-20T21:40:32.7946019Z Args: 2024-08-20T21:40:32.7946587Z url (str): URL of the object to download 2024-08-20T21:40:32.7947616Z model_dir (str, optional): directory in which to save the object 2024-08-20T21:40:32.7949243Z map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load) 2024-08-20T21:40:32.7951013Z progress (bool, optional): whether or not to display a progress bar to stderr. 2024-08-20T21:40:32.7952112Z Default: True 2024-08-20T21:40:32.7953341Z check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention 2024-08-20T21:40:32.7955133Z ``filename-.ext`` where ```` is the first eight or more 2024-08-20T21:40:32.7956528Z digits of the SHA256 hash of the contents of the file. The hash is used to 2024-08-20T21:40:32.7957850Z ensure unique names and to verify the contents of the file. 2024-08-20T21:40:32.7958847Z Default: False 2024-08-20T21:40:32.7960091Z file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set. 2024-08-20T21:40:32.7961997Z weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects. 2024-08-20T21:40:32.7963713Z Recommended for untrusted sources. See :func:`~torch.load` for more details. 2024-08-20T21:40:32.7964790Z 2024-08-20T21:40:32.7965177Z Example: 2024-08-20T21:40:32.7965799Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2024-08-20T21:40:32.7966786Z >>> state_dict = torch.hub.load_state_dict_from_url( 2024-08-20T21:40:32.7968078Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth" 2024-08-20T21:40:32.7969048Z ... ) 2024-08-20T21:40:32.7969494Z 2024-08-20T21:40:32.7969885Z 2024-08-20T21:40:32.7970850Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.7971890Z 2024-08-20T21:40:32.7972306Z warnings.warn(msg) 2024-08-20T21:40:32.7972867Z 2024-08-20T21:40:32.7973455Z --- Parse Warning: 6 / 101 --- 2024-08-20T21:40:32.7976445Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py line=334. 2024-08-20T21:40:32.7979554Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-08-20T21:40:32.7981087Z Registers the function implementation as the fallback for the given key. 2024-08-20T21:40:32.7982155Z 2024-08-20T21:40:32.7982895Z This function only works for a library with global namespace ("_"). 2024-08-20T21:40:32.7983881Z 2024-08-20T21:40:32.7984334Z Args: 2024-08-20T21:40:32.7985324Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2024-08-20T21:40:32.7986595Z to register a fallthrough. 2024-08-20T21:40:32.7987943Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2024-08-20T21:40:32.7989433Z the dispatch key that the library was created with. 2024-08-20T21:40:32.7991037Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2024-08-20T21:40:32.7993158Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2024-08-20T21:40:32.7994462Z 2024-08-20T21:40:32.7994883Z Example:: 2024-08-20T21:40:32.7995468Z >>> my_lib = Library("_", "IMPL") 2024-08-20T21:40:32.7996323Z >>> def fallback_kernel(op, *args, **kwargs): 2024-08-20T21:40:32.7997224Z >>> # Handle all autocast ops generically 2024-08-20T21:40:32.7998015Z >>> # ... 2024-08-20T21:40:32.7998738Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2024-08-20T21:40:32.7999509Z 2024-08-20T21:40:32.8001612Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2024-08-20T21:40:32.8003589Z 2024-08-20T21:40:32.8004094Z my_lib.fallback(fallback_kernel, "Autocast") 2024-08-20T21:40:32.8004833Z ^ 2024-08-20T21:40:32.8005271Z warnings.warn(msg) 2024-08-20T21:40:32.8005794Z 2024-08-20T21:40:32.8006395Z --- Parse Warning: 7 / 101 --- 2024-08-20T21:40:32.8009364Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py line=692. 2024-08-20T21:40:32.8012455Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-08-20T21:40:32.8013860Z Register a FakeTensor implementation ("fake impl") for this operator. 2024-08-20T21:40:32.8014847Z 2024-08-20T21:40:32.8015479Z Also sometimes known as a "meta kernel", "abstract impl". 2024-08-20T21:40:32.8016346Z 2024-08-20T21:40:32.8017147Z An "FakeTensor implementation" specifies the behavior of this operator on 2024-08-20T21:40:32.8018577Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2024-08-20T21:40:32.8019961Z certain properties (sizes/strides/storage_offset/device), it specifies 2024-08-20T21:40:32.8021221Z what the properties of the output Tensors are. 2024-08-20T21:40:32.8022005Z 2024-08-20T21:40:32.8022766Z The FakeTensor implementation has the same signature as the operator. 2024-08-20T21:40:32.8024142Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2024-08-20T21:40:32.8025472Z implementation, assume that all Tensor inputs to the operator are 2024-08-20T21:40:32.8026886Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2024-08-20T21:40:32.8028167Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2024-08-20T21:40:32.8029506Z The FakeTensor implementation must consist of only PyTorch operations 2024-08-20T21:40:32.8030809Z (and may not directly access the storage or data of any input or 2024-08-20T21:40:32.8031803Z intermediate Tensors). 2024-08-20T21:40:32.8032379Z 2024-08-20T21:40:32.8032963Z This API may be used as a decorator (see examples). 2024-08-20T21:40:32.8033855Z 2024-08-20T21:40:32.8034415Z For a detailed guide on custom ops, please see 2024-08-20T21:40:32.8035556Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2024-08-20T21:40:32.8036555Z 2024-08-20T21:40:32.8036966Z Examples: 2024-08-20T21:40:32.8037449Z >>> import torch 2024-08-20T21:40:32.8038055Z >>> import numpy as np 2024-08-20T21:40:32.8038741Z >>> from torch import Tensor 2024-08-20T21:40:32.8039404Z >>> 2024-08-20T21:40:32.8040299Z >>> # Example 1: an operator without data-dependent output shape 2024-08-20T21:40:32.8041549Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2024-08-20T21:40:32.8043031Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2024-08-20T21:40:32.8044356Z >>> raise NotImplementedError("Implementation goes here") 2024-08-20T21:40:32.8045244Z >>> 2024-08-20T21:40:32.8045930Z >>> @torch.library.register_fake("mylib::custom_linear") 2024-08-20T21:40:32.8046819Z >>> def _(x, weight, bias): 2024-08-20T21:40:32.8047532Z >>> assert x.dim() == 2 2024-08-20T21:40:32.8048269Z >>> assert weight.dim() == 2 2024-08-20T21:40:32.8049018Z >>> assert bias.dim() == 1 2024-08-20T21:40:32.8049823Z >>> assert x.shape[1] == weight.shape[1] 2024-08-20T21:40:32.8050709Z >>> assert weight.shape[0] == bias.shape[0] 2024-08-20T21:40:32.8051575Z >>> assert x.device == weight.device 2024-08-20T21:40:32.8052301Z >>> 2024-08-20T21:40:32.8052840Z >>> return (x @ weight.t()) + bias 2024-08-20T21:40:32.8053551Z >>> 2024-08-20T21:40:32.8054231Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2024-08-20T21:40:32.8055163Z >>> x = torch.randn(2, 3) 2024-08-20T21:40:32.8055879Z >>> w = torch.randn(3, 3) 2024-08-20T21:40:32.8056590Z >>> b = torch.randn(3) 2024-08-20T21:40:32.8057396Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2024-08-20T21:40:32.8058173Z >>> 2024-08-20T21:40:32.8058681Z >>> assert y.shape == (2, 3) 2024-08-20T21:40:32.8059405Z >>> 2024-08-20T21:40:32.8060232Z >>> # Example 2: an operator with data-dependent output shape 2024-08-20T21:40:32.8061590Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2024-08-20T21:40:32.8062826Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2024-08-20T21:40:32.8063653Z >>> x_np = x.numpy(force=True) 2024-08-20T21:40:32.8064503Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2024-08-20T21:40:32.8065421Z >>> return torch.tensor(res, device=x.device) 2024-08-20T21:40:32.8066205Z >>> 2024-08-20T21:40:32.8066881Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2024-08-20T21:40:32.8067757Z >>> def _(x): 2024-08-20T21:40:32.8068585Z >>> # Number of nonzero-elements is data-dependent. 2024-08-20T21:40:32.8069589Z >>> # Since we cannot peek at the data in an fake impl, 2024-08-20T21:40:32.8070643Z >>> # we use the ctx object to construct a new symint that 2024-08-20T21:40:32.8071728Z >>> # represents the data-dependent size. 2024-08-20T21:40:32.8072567Z >>> ctx = torch.library.get_ctx() 2024-08-20T21:40:32.8073380Z >>> nnz = ctx.new_dynamic_size() 2024-08-20T21:40:32.8074152Z >>> shape = [nnz, x.dim()] 2024-08-20T21:40:32.8074995Z >>> result = x.new_empty(shape, dtype=torch.int64) 2024-08-20T21:40:32.8075846Z >>> return result 2024-08-20T21:40:32.8076444Z >>> 2024-08-20T21:40:32.8077145Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2024-08-20T21:40:32.8078108Z >>> 2024-08-20T21:40:32.8078659Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2024-08-20T21:40:32.8079800Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2024-08-20T21:40:32.8080924Z >>> trace.print_readable() 2024-08-20T21:40:32.8081594Z >>> 2024-08-20T21:40:32.8082385Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2024-08-20T21:40:32.8083377Z 2024-08-20T21:40:32.8083774Z 2024-08-20T21:40:32.8085526Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2024-08-20T21:40:32.8087254Z 2024-08-20T21:40:32.8087656Z _._ = None 2024-08-20T21:40:32.8088078Z ^ 2024-08-20T21:40:32.8088512Z warnings.warn(msg) 2024-08-20T21:40:32.8089035Z 2024-08-20T21:40:32.8089617Z --- Parse Warning: 8 / 101 --- 2024-08-20T21:40:32.8092674Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_autograd in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py line=813. 2024-08-20T21:40:32.8095815Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8097080Z Register a backward formula for this custom op. 2024-08-20T21:40:32.8097850Z 2024-08-20T21:40:32.8098597Z In order for an operator to work with autograd, you need to register 2024-08-20T21:40:32.8099621Z a backward formula: 2024-08-20T21:40:32.8100591Z 1. You must tell us how to compute gradients during the backward pass 2024-08-20T21:40:32.8101685Z by providing us a "backward" function. 2024-08-20T21:40:32.8102818Z 2. If you need any values from the forward to compute gradients, you can 2024-08-20T21:40:32.8103995Z use `setup_context` to save values for backward. 2024-08-20T21:40:32.8104791Z 2024-08-20T21:40:32.8105564Z ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``: 2024-08-20T21:40:32.8107019Z - ``grads`` is one or more gradients. The number of gradients matches 2024-08-20T21:40:32.8108082Z the number of outputs of the operator. 2024-08-20T21:40:32.8109237Z The ``ctx`` object is `the same ctx object `_ used by 2024-08-20T21:40:32.8110653Z :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the 2024-08-20T21:40:32.8111898Z same as :meth:`torch.autograd.Function.backward`. 2024-08-20T21:40:32.8112715Z 2024-08-20T21:40:32.8113428Z ``setup_context(ctx, inputs, output)`` runs during the forward pass. 2024-08-20T21:40:32.8114757Z Please save quantities needed for backward onto the ``ctx`` object via 2024-08-20T21:40:32.8116163Z either :meth:`torch.autograd.function.FunctionCtx.save_for_backward` 2024-08-20T21:40:32.8117512Z or assigning them as attributes of ``ctx``. If your custom op has 2024-08-20T21:40:32.8118913Z kwarg-only arguments, we expect the signature of ``setup_context`` 2024-08-20T21:40:32.8120188Z to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``. 2024-08-20T21:40:32.8121109Z 2024-08-20T21:40:32.8121859Z Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is, 2024-08-20T21:40:32.8123243Z they may not directly access :meth:`torch.Tensor.data_ptr` and they must 2024-08-20T21:40:32.8124838Z not depend on or mutate global state. If you need a non-traceable backward, 2024-08-20T21:40:32.8126416Z you can make it a separate custom_op that you call inside ``backward_fn``. 2024-08-20T21:40:32.8127446Z 2024-08-20T21:40:32.8127854Z Examples: 2024-08-20T21:40:32.8128341Z >>> import torch 2024-08-20T21:40:32.8128949Z >>> import numpy as np 2024-08-20T21:40:32.8129650Z >>> from torch import Tensor 2024-08-20T21:40:32.8130410Z >>> 2024-08-20T21:40:32.8131172Z >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=()) 2024-08-20T21:40:32.8132316Z >>> def numpy_sin(x: Tensor) -> Tensor: 2024-08-20T21:40:32.8133107Z >>> x_np = x.cpu().numpy() 2024-08-20T21:40:32.8133832Z >>> y_np = np.sin(x_np) 2024-08-20T21:40:32.8134681Z >>> return torch.from_numpy(y_np).to(device=x.device) 2024-08-20T21:40:32.8135507Z >>> 2024-08-20T21:40:32.8136251Z >>> def setup_context(ctx, inputs, output) -> Tensor: 2024-08-20T21:40:32.8137090Z >>> x, = inputs 2024-08-20T21:40:32.8137748Z >>> ctx.save_for_backward(x) 2024-08-20T21:40:32.8138422Z >>> 2024-08-20T21:40:32.8138934Z >>> def backward(ctx, grad): 2024-08-20T21:40:32.8139659Z >>> x, = ctx.saved_tensors 2024-08-20T21:40:32.8140369Z >>> return grad * x.cos() 2024-08-20T21:40:32.8141249Z >>> 2024-08-20T21:40:32.8141822Z >>> torch.library.register_autograd( 2024-08-20T21:40:32.8142795Z ... "mylib::numpy_sin", backward, setup_context=setup_context 2024-08-20T21:40:32.8143690Z ... ) 2024-08-20T21:40:32.8144152Z >>> 2024-08-20T21:40:32.8144710Z >>> x = torch.randn(3, requires_grad=True) 2024-08-20T21:40:32.8145501Z >>> y = numpy_sin(x) 2024-08-20T21:40:32.8146322Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2024-08-20T21:40:32.8147300Z >>> assert torch.allclose(grad_x, x.cos()) 2024-08-20T21:40:32.8148060Z >>> 2024-08-20T21:40:32.8148722Z >>> # Example with a keyword-only arg 2024-08-20T21:40:32.8149739Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2024-08-20T21:40:32.8150987Z >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor: 2024-08-20T21:40:32.8151873Z >>> x_np = x.cpu().numpy() 2024-08-20T21:40:32.8152586Z >>> y_np = x_np * val 2024-08-20T21:40:32.8153418Z >>> return torch.from_numpy(y_np).to(device=x.device) 2024-08-20T21:40:32.8154245Z >>> 2024-08-20T21:40:32.8155196Z >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor: 2024-08-20T21:40:32.8156379Z >>> ctx.val = keyword_only_inputs["val"] 2024-08-20T21:40:32.8157126Z >>> 2024-08-20T21:40:32.8157627Z >>> def backward(ctx, grad): 2024-08-20T21:40:32.8158354Z >>> return grad * ctx.val 2024-08-20T21:40:32.8159025Z >>> 2024-08-20T21:40:32.8159568Z >>> torch.library.register_autograd( 2024-08-20T21:40:32.8160547Z ... "mylib::numpy_mul", backward, setup_context=setup_context 2024-08-20T21:40:32.8161436Z ... ) 2024-08-20T21:40:32.8161881Z >>> 2024-08-20T21:40:32.8162447Z >>> x = torch.randn(3, requires_grad=True) 2024-08-20T21:40:32.8163267Z >>> y = numpy_mul(x, val=3.14) 2024-08-20T21:40:32.8164177Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2024-08-20T21:40:32.8165282Z >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14)) 2024-08-20T21:40:32.8166141Z 2024-08-20T21:40:32.8166531Z 2024-08-20T21:40:32.8167498Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8168544Z 2024-08-20T21:40:32.8168975Z warnings.warn(msg) 2024-08-20T21:40:32.8169486Z 2024-08-20T21:40:32.8170081Z --- Parse Warning: 9 / 101 --- 2024-08-20T21:40:32.8172986Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=opcheck in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py line=1221. 2024-08-20T21:40:32.8176034Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8177486Z Given an operator and some sample arguments, tests if the operator is 2024-08-20T21:40:32.8178571Z registered correctly. 2024-08-20T21:40:32.8179131Z 2024-08-20T21:40:32.8179895Z That is, when you use the torch.library/TORCH_LIBRARY APIs to create a 2024-08-20T21:40:32.8181492Z custom op, you specified metadata (e.g. mutability info) about the custom op 2024-08-20T21:40:32.8182939Z and these APIs require that the functions you pass them satisfy certain 2024-08-20T21:40:32.8184348Z properties (e.g. no data pointer access in the fake/meta/abstract kernel) 2024-08-20T21:40:32.8185540Z ``opcheck`` tests these metadata and properties. 2024-08-20T21:40:32.8186305Z 2024-08-20T21:40:32.8186790Z Concretely, we test the following: 2024-08-20T21:40:32.8187810Z - test_schema: if the operator's schema is correct. 2024-08-20T21:40:32.8189066Z - test_autograd_registration: if autograd was registered correctly. 2024-08-20T21:40:32.8190455Z - test_faketensor: If the operator has a FakeTensor kernel 2024-08-20T21:40:32.8191601Z (and if it is correct). The FakeTensor kernel is necessary ( 2024-08-20T21:40:32.8192852Z but not sufficient) for the operator to work with PyTorch compilation 2024-08-20T21:40:32.8193911Z APIs (torch.compile/export/FX). 2024-08-20T21:40:32.8195014Z - test_aot_dispatch_dynamic: If the operator has correct behavior 2024-08-20T21:40:32.8196200Z with PyTorch compilation APIs (torch.compile/export/FX). 2024-08-20T21:40:32.8197405Z This checks that the outputs (and gradients, if applicable) are the 2024-08-20T21:40:32.8198663Z same under eager-mode PyTorch and torch.compile. 2024-08-20T21:40:32.8199624Z This test is a superset of ``test_faketensor``. 2024-08-20T21:40:32.8200383Z 2024-08-20T21:40:32.8201081Z For best results, please call ``opcheck`` multiple times with a 2024-08-20T21:40:32.8202254Z representative set of inputs. If your operator supports 2024-08-20T21:40:32.8203512Z autograd, please use ``opcheck`` with inputs with ``requires_grad = True``; 2024-08-20T21:40:32.8204918Z if your operator supports multiple devices (e.g. CPU and CUDA), please 2024-08-20T21:40:32.8206121Z use ``opcheck`` with inputs on all supported devices. 2024-08-20T21:40:32.8206981Z 2024-08-20T21:40:32.8207365Z Args: 2024-08-20T21:40:32.8208067Z op: The operator. Must either be a function decorated with 2024-08-20T21:40:32.8209303Z :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket 2024-08-20T21:40:32.8210621Z found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo) 2024-08-20T21:40:32.8211694Z args: The args to the operator 2024-08-20T21:40:32.8212498Z kwargs: The kwargs to the operator 2024-08-20T21:40:32.8213455Z test_utils: Tests that we should run. Default: all of them. 2024-08-20T21:40:32.8214497Z Example: ("test_schema", "test_faketensor") 2024-08-20T21:40:32.8215547Z raise_exception: If we should raise an exception on the first 2024-08-20T21:40:32.8216682Z error. If False, we will return a dict with information 2024-08-20T21:40:32.8217639Z on if each test passed or not. 2024-08-20T21:40:32.8218339Z 2024-08-20T21:40:32.8218740Z .. warning:: 2024-08-20T21:40:32.8219213Z 2024-08-20T21:40:32.8219968Z opcheck and :func:`torch.autograd.gradcheck` test different things; 2024-08-20T21:40:32.8221364Z opcheck tests if your usage of torch.library APIs is correct while 2024-08-20T21:40:32.8222695Z :func:`torch.autograd.gradcheck` tests if your autograd formula is 2024-08-20T21:40:32.8224003Z mathematically correct. Use both to test custom ops that support 2024-08-20T21:40:32.8224998Z gradient computation. 2024-08-20T21:40:32.8225599Z 2024-08-20T21:40:32.8226133Z Example: 2024-08-20T21:40:32.8226656Z 2024-08-20T21:40:32.8227215Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-08-20T21:40:32.8228298Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2024-08-20T21:40:32.8229514Z >>> def numpy_add(x: Tensor, y: float) -> Tensor: 2024-08-20T21:40:32.8229778Z >>> x_np = x.numpy(force=True) 2024-08-20T21:40:32.8229981Z >>> z_np = x_np + y 2024-08-20T21:40:32.8230315Z >>> return torch.from_numpy(z_np).to(x.device) 2024-08-20T21:40:32.8230482Z >>> 2024-08-20T21:40:32.8230712Z >>> @numpy_sin.register_fake 2024-08-20T21:40:32.8230915Z >>> def _(x, y): 2024-08-20T21:40:32.8231164Z >>> return torch.empty_like(x) 2024-08-20T21:40:32.8231324Z >>> 2024-08-20T21:40:32.8231628Z >>> def setup_context(ctx, inputs, output): 2024-08-20T21:40:32.8231813Z >>> y, = inputs 2024-08-20T21:40:32.8232095Z >>> ctx.y = y 2024-08-20T21:40:32.8232272Z >>> 2024-08-20T21:40:32.8232497Z >>> def backward(ctx, grad): 2024-08-20T21:40:32.8232738Z >>> return grad * ctx.y, None 2024-08-20T21:40:32.8232915Z >>> 2024-08-20T21:40:32.8233418Z >>> numpy_sin.register_autograd(backward, setup_context=setup_context) 2024-08-20T21:40:32.8233587Z >>> 2024-08-20T21:40:32.8233803Z >>> sample_inputs = [ 2024-08-20T21:40:32.8234032Z >>> (torch.randn(3), 3.14), 2024-08-20T21:40:32.8234456Z >>> (torch.randn(2, 3, device='cuda'), 2.718), 2024-08-20T21:40:32.8234812Z >>> (torch.randn(1, 10, requires_grad=True), 1.234), 2024-08-20T21:40:32.8235423Z >>> (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18), 2024-08-20T21:40:32.8235605Z >>> ] 2024-08-20T21:40:32.8235764Z >>> 2024-08-20T21:40:32.8236008Z >>> for args in sample_inputs: 2024-08-20T21:40:32.8236305Z >>> torch.library.opcheck(foo, args) 2024-08-20T21:40:32.8236461Z 2024-08-20T21:40:32.8236615Z 2024-08-20T21:40:32.8237340Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8237491Z 2024-08-20T21:40:32.8237686Z warnings.warn(msg) 2024-08-20T21:40:32.8237903Z 2024-08-20T21:40:32.8238268Z --- Parse Warning: 10 / 101 --- 2024-08-20T21:40:32.8240651Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py line=1042. 2024-08-20T21:40:32.8241406Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8242198Z load(f, map_location=None, pickle_module=pickle, *, weights_only=False, mmap=None, **pickle_load_args) 2024-08-20T21:40:32.8242370Z 2024-08-20T21:40:32.8242794Z Loads an object saved with :func:`torch.save` from a file. 2024-08-20T21:40:32.8242954Z 2024-08-20T21:40:32.8243680Z :func:`torch.load` uses Python's unpickling facilities but treats storages, 2024-08-20T21:40:32.8244210Z which underlie tensors, specially. They are first deserialized on the 2024-08-20T21:40:32.8244759Z CPU and are then moved to the device they were saved from. If this fails 2024-08-20T21:40:32.8245504Z (e.g. because the run time system doesn't have certain devices), an exception 2024-08-20T21:40:32.8246072Z is raised. However, storages can be dynamically remapped to an alternative 2024-08-20T21:40:32.8246458Z set of devices using the :attr:`map_location` argument. 2024-08-20T21:40:32.8246621Z 2024-08-20T21:40:32.8247219Z If :attr:`map_location` is a callable, it will be called once for each serialized 2024-08-20T21:40:32.8247765Z storage with two arguments: storage and location. The storage argument 2024-08-20T21:40:32.8248332Z will be the initial deserialization of the storage, residing on the CPU. 2024-08-20T21:40:32.8248880Z Each serialized storage has a location tag associated with it which 2024-08-20T21:40:32.8249395Z identifies the device it was saved from, and this tag is the second 2024-08-20T21:40:32.8250162Z argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'`` 2024-08-20T21:40:32.8250866Z for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors. 2024-08-20T21:40:32.8251353Z :attr:`map_location` should return either ``None`` or a storage. If 2024-08-20T21:40:32.8251963Z :attr:`map_location` returns a storage, it will be used as the final deserialized 2024-08-20T21:40:32.8252570Z object, already moved to the right device. Otherwise, :func:`torch.load` will 2024-08-20T21:40:32.8253321Z fall back to the default behavior, as if :attr:`map_location` wasn't specified. 2024-08-20T21:40:32.8253572Z 2024-08-20T21:40:32.8254186Z If :attr:`map_location` is a :class:`torch.device` object or a string containing 2024-08-20T21:40:32.8254759Z a device tag, it indicates the location where all tensors should be loaded. 2024-08-20T21:40:32.8254912Z 2024-08-20T21:40:32.8255560Z Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags 2024-08-20T21:40:32.8256059Z appearing in the file (keys), to ones that specify where to put the 2024-08-20T21:40:32.8256250Z storages (values). 2024-08-20T21:40:32.8256411Z 2024-08-20T21:40:32.8256929Z User extensions can register their own location tags and tagging and 2024-08-20T21:40:32.8257537Z deserialization methods using :func:`torch.serialization.register_package`. 2024-08-20T21:40:32.8257697Z 2024-08-20T21:40:32.8257862Z Args: 2024-08-20T21:40:32.8258882Z f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`), 2024-08-20T21:40:32.8259304Z or a string or os.PathLike object containing a file name 2024-08-20T21:40:32.8260079Z map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage 2024-08-20T21:40:32.8260271Z locations 2024-08-20T21:40:32.8260945Z pickle_module: module used for unpickling metadata and objects (has to 2024-08-20T21:40:32.8261336Z match the :attr:`pickle_module` used to serialize file) 2024-08-20T21:40:32.8261840Z weights_only: Indicates whether unpickler should be restricted to 2024-08-20T21:40:32.8262219Z loading only tensors, primitive types, dictionaries 2024-08-20T21:40:32.8262754Z and any types added via :func:`torch.serialization.add_safe_globals`. 2024-08-20T21:40:32.8263592Z mmap: Indicates whether the file should be mmaped rather than loading all the storages into memory. 2024-08-20T21:40:32.8264446Z Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they 2024-08-20T21:40:32.8265359Z are moved to the location that they were tagged with when saving, or specified by ``map_location``. This 2024-08-20T21:40:32.8266454Z second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the 2024-08-20T21:40:32.8267044Z tensor storages from disk to CPU memory in the first step, ``f`` is mmaped. 2024-08-20T21:40:32.8267621Z pickle_load_args: (Python 3 only) optional keyword arguments passed over to 2024-08-20T21:40:32.8268140Z :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g., 2024-08-20T21:40:32.8268347Z :attr:`errors=...`. 2024-08-20T21:40:32.8268516Z 2024-08-20T21:40:32.8268693Z .. warning:: 2024-08-20T21:40:32.8269218Z :func:`torch.load()` unless `weights_only` parameter is set to `True`, 2024-08-20T21:40:32.8269695Z uses ``pickle`` module implicitly, which is known to be insecure. 2024-08-20T21:40:32.8270414Z It is possible to construct malicious pickle data which will execute arbitrary code 2024-08-20T21:40:32.8271005Z during unpickling. Never load data that could have come from an untrusted 2024-08-20T21:40:32.8271768Z source in an unsafe mode, or that could have been tampered with. **Only load data you trust**. 2024-08-20T21:40:32.8271923Z 2024-08-20T21:40:32.8272109Z .. note:: 2024-08-20T21:40:32.8272773Z When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors 2024-08-20T21:40:32.8273615Z will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')`` 2024-08-20T21:40:32.8274302Z and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint. 2024-08-20T21:40:32.8274454Z 2024-08-20T21:40:32.8274702Z .. note:: 2024-08-20T21:40:32.8275496Z By default, we decode byte strings as ``utf-8``. This is to avoid a common error 2024-08-20T21:40:32.8276125Z case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...`` 2024-08-20T21:40:32.8276634Z when loading files saved by Python 2 in Python 3. If this default 2024-08-20T21:40:32.8277288Z is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how 2024-08-20T21:40:32.8278026Z these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them 2024-08-20T21:40:32.8278768Z to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them 2024-08-20T21:40:32.8279332Z as byte arrays which can be decoded later with ``byte_array.decode(...)``. 2024-08-20T21:40:32.8279501Z 2024-08-20T21:40:32.8279672Z Example: 2024-08-20T21:40:32.8279975Z >>> # xdoctest: +SKIP("undefined filepaths") 2024-08-20T21:40:32.8280312Z >>> torch.load("tensors.pt", weights_only=True) 2024-08-20T21:40:32.8280557Z # Load all tensors onto the CPU 2024-08-20T21:40:32.8281144Z >>> torch.load("tensors.pt", map_location=torch.device("cpu"), weights_only=True) 2024-08-20T21:40:32.8281492Z # Load all tensors onto the CPU, using a function 2024-08-20T21:40:32.8281716Z >>> torch.load( 2024-08-20T21:40:32.8282288Z ... "tensors.pt", map_location=lambda storage, loc: storage, weights_only=True 2024-08-20T21:40:32.8282462Z ... ) 2024-08-20T21:40:32.8282697Z # Load all tensors onto GPU 1 2024-08-20T21:40:32.8282882Z >>> torch.load( 2024-08-20T21:40:32.8283095Z ... "tensors.pt", 2024-08-20T21:40:32.8283474Z ... map_location=lambda storage, loc: storage.cuda(1), 2024-08-20T21:40:32.8283683Z ... weights_only=True, 2024-08-20T21:40:32.8284046Z ... ) # type: ignore[attr-defined] 2024-08-20T21:40:32.8284309Z # Map tensors from GPU 1 to GPU 0 2024-08-20T21:40:32.8284917Z >>> torch.load("tensors.pt", map_location={"cuda:1": "cuda:0"}, weights_only=True) 2024-08-20T21:40:32.8285182Z # Load tensor from io.BytesIO object 2024-08-20T21:40:32.8285785Z # Loading from a buffer setting weights_only=False, warning this can be unsafe 2024-08-20T21:40:32.8286068Z >>> with open("tensor.pt", "rb") as f: 2024-08-20T21:40:32.8286320Z ... buffer = io.BytesIO(f.read()) 2024-08-20T21:40:32.8286603Z >>> torch.load(buffer, weights_only=False) 2024-08-20T21:40:32.8287102Z # Load a module with 'ascii' encoding for unpickling 2024-08-20T21:40:32.8287699Z # Loading from a module setting weights_only=False, warning this can be unsafe 2024-08-20T21:40:32.8288152Z >>> torch.load("module.pt", encoding="ascii", weights_only=False) 2024-08-20T21:40:32.8288328Z 2024-08-20T21:40:32.8289050Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8289258Z 2024-08-20T21:40:32.8289450Z warnings.warn(msg) 2024-08-20T21:40:32.8289602Z 2024-08-20T21:40:32.8289985Z --- Parse Warning: 11 / 101 --- 2024-08-20T21:40:32.8292369Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/__init__.py line=341. 2024-08-20T21:40:32.8293083Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-08-20T21:40:32.8293356Z Retrieves the CUDA runtime API module. 2024-08-20T21:40:32.8293512Z 2024-08-20T21:40:32.8293663Z 2024-08-20T21:40:32.8294267Z This function initializes the CUDA runtime environment if it is not already 2024-08-20T21:40:32.8294822Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2024-08-20T21:40:32.8295410Z runtime API module provides access to various CUDA runtime functions. 2024-08-20T21:40:32.8295587Z 2024-08-20T21:40:32.8295746Z Args: 2024-08-20T21:40:32.8295927Z ``None`` 2024-08-20T21:40:32.8296077Z 2024-08-20T21:40:32.8296248Z Returns: 2024-08-20T21:40:32.8296591Z module: The CUDA runtime API module (_cudart). 2024-08-20T21:40:32.8296749Z 2024-08-20T21:40:32.8296913Z Raises: 2024-08-20T21:40:32.8297611Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2024-08-20T21:40:32.8298493Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2024-08-20T21:40:32.8298648Z 2024-08-20T21:40:32.8298980Z Example of CUDA operations with profiling: 2024-08-20T21:40:32.8299174Z >>> import torch 2024-08-20T21:40:32.8299491Z >>> from torch.cuda import cudart, check_error 2024-08-20T21:40:32.8299689Z >>> import os 2024-08-20T21:40:32.8299864Z >>> 2024-08-20T21:40:32.8300221Z >>> os.environ['CUDA_PROFILE'] = '1' 2024-08-20T21:40:32.8300397Z >>> 2024-08-20T21:40:32.8300871Z >>> def perform_cuda_operations_with_streams(): 2024-08-20T21:40:32.8301133Z >>> stream = torch.cuda.Stream() 2024-08-20T21:40:32.8301472Z >>> with torch.cuda.stream(stream): 2024-08-20T21:40:32.8301894Z >>> x = torch.randn(100, 100, device='cuda') 2024-08-20T21:40:32.8302323Z >>> y = torch.randn(100, 100, device='cuda') 2024-08-20T21:40:32.8302552Z >>> z = torch.mul(x, y) 2024-08-20T21:40:32.8302735Z >>> return z 2024-08-20T21:40:32.8302915Z >>> 2024-08-20T21:40:32.8303153Z >>> torch.cuda.synchronize() 2024-08-20T21:40:32.8303463Z >>> print("====== Start nsys profiling ======") 2024-08-20T21:40:32.8303784Z >>> check_error(cudart().cudaProfilerStart()) 2024-08-20T21:40:32.8304117Z >>> with torch.autograd.profiler.emit_nvtx(): 2024-08-20T21:40:32.8304469Z >>> result = perform_cuda_operations_with_streams() 2024-08-20T21:40:32.8304769Z >>> print("CUDA operations completed.") 2024-08-20T21:40:32.8305144Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2024-08-20T21:40:32.8305438Z >>> print("====== End nsys profiling ======") 2024-08-20T21:40:32.8305604Z 2024-08-20T21:40:32.8306083Z To run this example and save the profiling information, execute: 2024-08-20T21:40:32.8307118Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2024-08-20T21:40:32.8307275Z 2024-08-20T21:40:32.8307863Z This command profiles the CUDA operations in the provided script and saves 2024-08-20T21:40:32.8308323Z the profiling information to a file named `trace_name.prof`. 2024-08-20T21:40:32.8309015Z The `--profile-from-start off` option ensures that profiling starts only 2024-08-20T21:40:32.8309401Z after the `cudaProfilerStart` call in the script. 2024-08-20T21:40:32.8310086Z The `--csv` and `--print-summary` options format the profiling output as a 2024-08-20T21:40:32.8310382Z CSV file and print a summary, respectively. 2024-08-20T21:40:32.8311122Z The `-o` option specifies the output file name, and the `-f` option forces the 2024-08-20T21:40:32.8311486Z overwrite of the output file if it already exists. 2024-08-20T21:40:32.8311646Z 2024-08-20T21:40:32.8313502Z 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', 1, 2)) 2024-08-20T21:40:32.8313656Z 2024-08-20T21:40:32.8314650Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2024-08-20T21:40:32.8314821Z ^ 2024-08-20T21:40:32.8315090Z warnings.warn(msg) 2024-08-20T21:40:32.8315247Z 2024-08-20T21:40:32.8315620Z --- Parse Warning: 12 / 101 --- 2024-08-20T21:40:32.8318080Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.then in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/futures/__init__.py line=101. 2024-08-20T21:40:32.8318819Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8318986Z 2024-08-20T21:40:32.8319527Z Append the given callback function to this ``Future``, which will be run 2024-08-20T21:40:32.8320033Z when the ``Future`` is completed. Multiple callbacks can be added to 2024-08-20T21:40:32.8320543Z the same ``Future``, but the order in which they will be executed cannot 2024-08-20T21:40:32.8320970Z be guaranteed (to enforce a certain order consider chaining: 2024-08-20T21:40:32.8321487Z ``fut.then(cb1).then(cb2)``). The callback must take one argument, which 2024-08-20T21:40:32.8321996Z is the reference to this ``Future``. The callback function can use the 2024-08-20T21:40:32.8322489Z :meth:`value` method to get the value. Note that if this ``Future`` is 2024-08-20T21:40:32.8323050Z already completed, the given callback will be run immediately inline. 2024-08-20T21:40:32.8323239Z 2024-08-20T21:40:32.8323837Z If the ``Future``'s value contains tensors that reside on GPUs, the 2024-08-20T21:40:32.8324382Z callback might be invoked while the async kernels that are populating 2024-08-20T21:40:32.8325050Z those tensors haven't yet finished executing on the device. However, the 2024-08-20T21:40:32.8325562Z callback will be invoked with some dedicated streams set as current 2024-08-20T21:40:32.8326231Z (fetched from a global pool) which will be synchronized with those 2024-08-20T21:40:32.8326767Z kernels. Hence any operation performed by the callback on these tensors 2024-08-20T21:40:32.8327300Z will be scheduled on the device after the kernels complete. In other 2024-08-20T21:40:32.8327934Z words, as long as the callback doesn't switch streams, it can safely 2024-08-20T21:40:32.8328469Z manipulate the result without any additional synchronization. This is 2024-08-20T21:40:32.8328951Z similar to the non-blocking behavior of :meth:`wait`. 2024-08-20T21:40:32.8329109Z 2024-08-20T21:40:32.8329625Z Similarly, if the callback returns a value that contains tensors that 2024-08-20T21:40:32.8330130Z reside on a GPU, it can do so even if the kernels that are producing 2024-08-20T21:40:32.8330653Z these tensors are still running on the device, as long as the callback 2024-08-20T21:40:32.8331284Z didn't change streams during its execution. If one wants to change 2024-08-20T21:40:32.8331924Z streams, one must be careful to re-synchronize them with the original 2024-08-20T21:40:32.8332457Z streams, that is, those that were current when the callback was invoked. 2024-08-20T21:40:32.8332636Z 2024-08-20T21:40:32.8332878Z Args: 2024-08-20T21:40:32.8333358Z callback(``Callable``): a ``Callable`` that takes this ``Future`` as 2024-08-20T21:40:32.8333621Z the only argument. 2024-08-20T21:40:32.8333775Z 2024-08-20T21:40:32.8333940Z Returns: 2024-08-20T21:40:32.8334360Z A new ``Future`` object that holds the return value of the 2024-08-20T21:40:32.8334771Z ``callback`` and will be marked as completed when the given 2024-08-20T21:40:32.8334974Z ``callback`` finishes. 2024-08-20T21:40:32.8335142Z 2024-08-20T21:40:32.8335547Z .. note:: Note that if the callback function throws, either 2024-08-20T21:40:32.8336037Z through the original future being completed with an exception and 2024-08-20T21:40:32.8336518Z calling ``fut.wait()``, or through other code in the callback, the 2024-08-20T21:40:32.8336993Z future returned by ``then`` will be marked appropriately with the 2024-08-20T21:40:32.8337573Z encountered error. However, if this callback later completes 2024-08-20T21:40:32.8338078Z additional futures, those futures are not marked as completed with 2024-08-20T21:40:32.8338601Z an error and the user is responsible for handling completion/waiting 2024-08-20T21:40:32.8338854Z on those futures independently. 2024-08-20T21:40:32.8339013Z 2024-08-20T21:40:32.8339187Z Example:: 2024-08-20T21:40:32.8339536Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2024-08-20T21:40:32.8339735Z >>> def callback(fut): 2024-08-20T21:40:32.8340059Z ... print(f"RPC return value is {fut.wait()}.") 2024-08-20T21:40:32.8340317Z >>> fut = torch.futures.Future() 2024-08-20T21:40:32.8340773Z >>> # The inserted callback will print the return value when 2024-08-20T21:40:32.8341054Z >>> # receiving the response from "worker1" 2024-08-20T21:40:32.8341297Z >>> cb_fut = fut.then(callback) 2024-08-20T21:40:32.8341530Z >>> chain_cb_fut = cb_fut.then( 2024-08-20T21:40:32.8341897Z ... lambda x : print(f"Chained cb done. {x.wait()}") 2024-08-20T21:40:32.8342059Z ... ) 2024-08-20T21:40:32.8342256Z >>> fut.set_result(5) 2024-08-20T21:40:32.8342481Z RPC return value is 5. 2024-08-20T21:40:32.8342683Z Chained cb done. None 2024-08-20T21:40:32.8342936Z 2024-08-20T21:40:32.8343688Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8343843Z 2024-08-20T21:40:32.8344040Z warnings.warn(msg) 2024-08-20T21:40:32.8344205Z 2024-08-20T21:40:32.8344571Z --- Parse Warning: 13 / 101 --- 2024-08-20T21:40:32.8347117Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.set_result in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/futures/__init__.py line=209. 2024-08-20T21:40:32.8347884Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8348048Z 2024-08-20T21:40:32.8348572Z Set the result for this ``Future``, which will mark this ``Future`` as 2024-08-20T21:40:32.8349088Z completed and trigger all attached callbacks. Note that a ``Future`` 2024-08-20T21:40:32.8349327Z cannot be marked completed twice. 2024-08-20T21:40:32.8349501Z 2024-08-20T21:40:32.8350029Z If the result contains tensors that reside on GPUs, this method can be 2024-08-20T21:40:32.8350514Z called even if the asynchronous kernels that are populating those 2024-08-20T21:40:32.8351188Z tensors haven't yet completed running on the device, provided that the 2024-08-20T21:40:32.8351736Z streams on which those kernels were enqueued are set as the current ones 2024-08-20T21:40:32.8352379Z when this method is called. Put simply, it's safe to call this method 2024-08-20T21:40:32.8352879Z immediately after launching those kernels, without any additional 2024-08-20T21:40:32.8353559Z synchronization, as long as one doesn't change streams in between. This 2024-08-20T21:40:32.8354141Z method will record events on all the relevant current streams and will 2024-08-20T21:40:32.8354633Z use them to ensure proper scheduling for all the consumers of this 2024-08-20T21:40:32.8354803Z ``Future``. 2024-08-20T21:40:32.8354977Z 2024-08-20T21:40:32.8355138Z Args: 2024-08-20T21:40:32.8355504Z result (object): the result object of this ``Future``. 2024-08-20T21:40:32.8355672Z 2024-08-20T21:40:32.8355847Z Example:: 2024-08-20T21:40:32.8356181Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2024-08-20T21:40:32.8356392Z >>> import threading 2024-08-20T21:40:32.8356571Z >>> import time 2024-08-20T21:40:32.8356819Z >>> def slow_set_future(fut, value): 2024-08-20T21:40:32.8357035Z ... time.sleep(0.5) 2024-08-20T21:40:32.8357246Z ... fut.set_result(value) 2024-08-20T21:40:32.8357556Z >>> fut = torch.futures.Future() 2024-08-20T21:40:32.8357785Z >>> t = threading.Thread( 2024-08-20T21:40:32.8358053Z ... target=slow_set_future, 2024-08-20T21:40:32.8358294Z ... args=(fut, torch.ones(2) * 3) 2024-08-20T21:40:32.8358473Z ... ) 2024-08-20T21:40:32.8358645Z >>> t.start() 2024-08-20T21:40:32.8358845Z >>> print(fut.wait()) 2024-08-20T21:40:32.8359041Z tensor([3., 3.]) 2024-08-20T21:40:32.8359209Z >>> t.join() 2024-08-20T21:40:32.8359362Z 2024-08-20T21:40:32.8360099Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8360256Z 2024-08-20T21:40:32.8360467Z warnings.warn(msg) 2024-08-20T21:40:32.8360621Z 2024-08-20T21:40:32.8360983Z --- Parse Warning: 14 / 101 --- 2024-08-20T21:40:32.8363380Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=sum in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/__init__.py line=201. 2024-08-20T21:40:32.8364127Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8364500Z Return the sum of each row of the given sparse tensor. 2024-08-20T21:40:32.8364669Z 2024-08-20T21:40:32.8365247Z Returns the sum of each row of the sparse tensor :attr:`input` in the given 2024-08-20T21:40:32.8365737Z dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions, 2024-08-20T21:40:32.8366293Z reduce over all of them. When sum over all ``sparse_dim``, this method 2024-08-20T21:40:32.8366641Z returns a dense tensor instead of a sparse tensor. 2024-08-20T21:40:32.8366791Z 2024-08-20T21:40:32.8367440Z All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output 2024-08-20T21:40:32.8367884Z tensor having :attr:`dim` fewer dimensions than :attr:`input`. 2024-08-20T21:40:32.8368035Z 2024-08-20T21:40:32.8368567Z During backward, only gradients at ``nnz`` locations of :attr:`input` 2024-08-20T21:40:32.8369151Z will propagate back. Note that the gradients of :attr:`input` is coalesced. 2024-08-20T21:40:32.8369301Z 2024-08-20T21:40:32.8369478Z Args: 2024-08-20T21:40:32.8369754Z input (Tensor): the input sparse tensor 2024-08-20T21:40:32.8370456Z dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce 2024-08-20T21:40:32.8370661Z over all dims. 2024-08-20T21:40:32.8371279Z dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor. 2024-08-20T21:40:32.8371543Z Default: dtype of :attr:`input`. 2024-08-20T21:40:32.8371748Z 2024-08-20T21:40:32.8371921Z Example:: 2024-08-20T21:40:32.8372082Z 2024-08-20T21:40:32.8372254Z >>> nnz = 3 2024-08-20T21:40:32.8372447Z >>> dims = [5, 5, 2, 3] 2024-08-20T21:40:32.8372838Z >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)), 2024-08-20T21:40:32.8373324Z torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz) 2024-08-20T21:40:32.8373596Z >>> V = torch.randn(nnz, dims[2], dims[3]) 2024-08-20T21:40:32.8373829Z >>> size = torch.Size(dims) 2024-08-20T21:40:32.8374278Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-08-20T21:40:32.8374570Z >>> S = torch.sparse_coo_tensor(I, V, size) 2024-08-20T21:40:32.8374744Z >>> S 2024-08-20T21:40:32.8374985Z tensor(indices=tensor([[2, 0, 3], 2024-08-20T21:40:32.8375201Z [2, 4, 1]]), 2024-08-20T21:40:32.8375622Z values=tensor([[[-0.6438, -1.6467, 1.4004], 2024-08-20T21:40:32.8376008Z [ 0.3411, 0.0918, -0.2312]], 2024-08-20T21:40:32.8376171Z 2024-08-20T21:40:32.8376551Z [[ 0.5348, 0.0634, -2.0494], 2024-08-20T21:40:32.8377001Z [-0.7125, -1.0646, 2.1844]], 2024-08-20T21:40:32.8377170Z 2024-08-20T21:40:32.8377548Z [[ 0.1276, 0.1874, -0.6334], 2024-08-20T21:40:32.8377935Z [-1.9682, -0.5340, 0.7483]]]), 2024-08-20T21:40:32.8378291Z size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo) 2024-08-20T21:40:32.8378445Z 2024-08-20T21:40:32.8378914Z # when sum over only part of sparse_dims, return a sparse tensor 2024-08-20T21:40:32.8379163Z >>> torch.sparse.sum(S, [1, 3]) 2024-08-20T21:40:32.8379408Z tensor(indices=tensor([[0, 2, 3]]), 2024-08-20T21:40:32.8379767Z values=tensor([[-1.4512, 0.4073], 2024-08-20T21:40:32.8380114Z [-0.8901, 0.2017], 2024-08-20T21:40:32.8380559Z [-0.3183, -1.7539]]), 2024-08-20T21:40:32.8380968Z size=(5, 2), nnz=3, layout=torch.sparse_coo) 2024-08-20T21:40:32.8381135Z 2024-08-20T21:40:32.8381499Z # when sum over all sparse dim, return a dense tensor 2024-08-20T21:40:32.8381733Z # with summed dims squeezed 2024-08-20T21:40:32.8381985Z >>> torch.sparse.sum(S, [0, 1, 3]) 2024-08-20T21:40:32.8382273Z tensor([-2.6596, -1.1450]) 2024-08-20T21:40:32.8382488Z 2024-08-20T21:40:32.8383206Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8383353Z 2024-08-20T21:40:32.8383562Z warnings.warn(msg) 2024-08-20T21:40:32.8383710Z 2024-08-20T21:40:32.8384070Z --- Parse Warning: 15 / 101 --- 2024-08-20T21:40:32.8386785Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py line=473. 2024-08-20T21:40:32.8387491Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-08-20T21:40:32.8387660Z 2024-08-20T21:40:32.8388310Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2024-08-20T21:40:32.8388947Z The submesh created consists of the dimensions and the communicators indicated by 2024-08-20T21:40:32.8389143Z ``mesh_dim_names`` 2024-08-20T21:40:32.8389299Z 2024-08-20T21:40:32.8389460Z Args: 2024-08-20T21:40:32.8390043Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2024-08-20T21:40:32.8390469Z mesh dimension of the DeviceMesh to create the submesh for. 2024-08-20T21:40:32.8390633Z Returns: 2024-08-20T21:40:32.8390853Z A :class:`DeviceMesh` object 2024-08-20T21:40:32.8391008Z 2024-08-20T21:40:32.8391706Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2024-08-20T21:40:32.8391916Z In the first example: 2024-08-20T21:40:32.8392579Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2024-08-20T21:40:32.8393356Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2024-08-20T21:40:32.8393935Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2024-08-20T21:40:32.8394508Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2024-08-20T21:40:32.8395092Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2024-08-20T21:40:32.8395667Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2024-08-20T21:40:32.8395821Z 2024-08-20T21:40:32.8396031Z In the second example: 2024-08-20T21:40:32.8396749Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2024-08-20T21:40:32.8397538Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2024-08-20T21:40:32.8398273Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2024-08-20T21:40:32.8398992Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2024-08-20T21:40:32.8399163Z 2024-08-20T21:40:32.8399345Z Example:: 2024-08-20T21:40:32.8399572Z >>> # xdoctest: +SKIP("no rank") 2024-08-20T21:40:32.8399976Z >>> from torch.distributed.device_mesh import DeviceMesh 2024-08-20T21:40:32.8400136Z >>> 2024-08-20T21:40:32.8400609Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2024-08-20T21:40:32.8401072Z >>> # of cross-host(dim 0), and within-host (dim 1). 2024-08-20T21:40:32.8401678Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2024-08-20T21:40:32.8401883Z >>> tp_mesh = mesh_2d["tp"] 2024-08-20T21:40:32.8402106Z >>> dp_mesh = mesh_2d["dp"] 2024-08-20T21:40:32.8402270Z >>> 2024-08-20T21:40:32.8402477Z >>> # Initialize a 3D mesh. 2024-08-20T21:40:32.8403151Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2024-08-20T21:40:32.8403910Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2024-08-20T21:40:32.8404203Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2024-08-20T21:40:32.8404442Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2024-08-20T21:40:32.8404595Z 2024-08-20T21:40:32.8406516Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83)) 2024-08-20T21:40:32.8406670Z 2024-08-20T21:40:32.8407250Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2024-08-20T21:40:32.8407558Z ^ 2024-08-20T21:40:32.8407752Z warnings.warn(msg) 2024-08-20T21:40:32.8407898Z 2024-08-20T21:40:32.8408270Z --- Parse Warning: 16 / 101 --- 2024-08-20T21:40:32.8410950Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=gather_object in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2745. 2024-08-20T21:40:32.8411714Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8411866Z 2024-08-20T21:40:32.8412375Z Gathers picklable objects from the whole group in a single process. 2024-08-20T21:40:32.8412535Z 2024-08-20T21:40:32.8413104Z Similar to :func:`gather`, but Python objects can be passed in. Note that the 2024-08-20T21:40:32.8413439Z object must be picklable in order to be gathered. 2024-08-20T21:40:32.8413604Z 2024-08-20T21:40:32.8413772Z Args: 2024-08-20T21:40:32.8414099Z obj (Any): Input object. Must be picklable. 2024-08-20T21:40:32.8414598Z object_gather_list (list[Any]): Output list. On the ``dst`` rank, it 2024-08-20T21:40:32.8415027Z should be correctly sized as the size of the group for this 2024-08-20T21:40:32.8415680Z collective and will contain the output. Must be ``None`` on non-dst 2024-08-20T21:40:32.8415909Z ranks. (default is ``None``) 2024-08-20T21:40:32.8416832Z dst (int, optional): Destination rank on global process group (regardless of ``group`` argument). (default is 0) 2024-08-20T21:40:32.8417380Z group: (ProcessGroup, optional): The process group to work on. If None, 2024-08-20T21:40:32.8417820Z the default process group will be used. Default is ``None``. 2024-08-20T21:40:32.8417976Z 2024-08-20T21:40:32.8418147Z Returns: 2024-08-20T21:40:32.8418682Z None. On the ``dst`` rank, ``object_gather_list`` will contain the 2024-08-20T21:40:32.8418893Z output of the collective. 2024-08-20T21:40:32.8419060Z 2024-08-20T21:40:32.8419576Z .. note:: Note that this API differs slightly from the gather collective 2024-08-20T21:40:32.8420126Z since it does not provide an async_op handle and thus will be a blocking 2024-08-20T21:40:32.8420303Z call. 2024-08-20T21:40:32.8420522Z 2024-08-20T21:40:32.8421227Z .. note:: For NCCL-based processed groups, internal tensor representations 2024-08-20T21:40:32.8421754Z of objects must be moved to the GPU device before communication takes 2024-08-20T21:40:32.8422087Z place. In this case, the device used is given by 2024-08-20T21:40:32.8422743Z ``torch.cuda.current_device()`` and it is the user's responsiblity to 2024-08-20T21:40:32.8423255Z ensure that this is set so that each rank has an individual GPU, via 2024-08-20T21:40:32.8423470Z ``torch.cuda.set_device()``. 2024-08-20T21:40:32.8423629Z 2024-08-20T21:40:32.8423811Z .. warning:: 2024-08-20T21:40:32.8424279Z :func:`gather_object` uses ``pickle`` module implicitly, which is 2024-08-20T21:40:32.8424834Z known to be insecure. It is possible to construct malicious pickle data 2024-08-20T21:40:32.8425339Z which will execute arbitrary code during unpickling. Only call this 2024-08-20T21:40:32.8425610Z function with data you trust. 2024-08-20T21:40:32.8425905Z 2024-08-20T21:40:32.8426078Z .. warning:: 2024-08-20T21:40:32.8426592Z Calling :func:`gather_object` with GPU tensors is not well supported 2024-08-20T21:40:32.8427281Z and inefficient as it incurs GPU -> CPU transfer since tensors would be 2024-08-20T21:40:32.8427660Z pickled. Please consider using :func:`gather` instead. 2024-08-20T21:40:32.8427823Z 2024-08-20T21:40:32.8427991Z Example:: 2024-08-20T21:40:32.8428305Z >>> # xdoctest: +SKIP("need process group init") 2024-08-20T21:40:32.8428744Z >>> # Note: Process group initialization omitted on each rank. 2024-08-20T21:40:32.8429010Z >>> import torch.distributed as dist 2024-08-20T21:40:32.8429228Z >>> # Assumes world_size of 3. 2024-08-20T21:40:32.8429650Z >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object 2024-08-20T21:40:32.8429924Z >>> output = [None for _ in gather_objects] 2024-08-20T21:40:32.8430124Z >>> dist.gather_object( 2024-08-20T21:40:32.8430391Z ... gather_objects[dist.get_rank()], 2024-08-20T21:40:32.8430691Z ... output if dist.get_rank() == 0 else None, 2024-08-20T21:40:32.8430869Z ... dst=0 2024-08-20T21:40:32.8431026Z ... ) 2024-08-20T21:40:32.8431204Z >>> # On rank 0 2024-08-20T21:40:32.8431381Z >>> output 2024-08-20T21:40:32.8431635Z ['foo', 12, {1: 2}] 2024-08-20T21:40:32.8431787Z 2024-08-20T21:40:32.8432515Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8432666Z 2024-08-20T21:40:32.8432865Z warnings.warn(msg) 2024-08-20T21:40:32.8433107Z 2024-08-20T21:40:32.8433471Z --- Parse Warning: 17 / 101 --- 2024-08-20T21:40:32.8435889Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=__doc__ in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/launch.py line=2. 2024-08-20T21:40:32.8436644Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8436801Z 2024-08-20T21:40:32.8437051Z Module ``torch.distributed.launch``. 2024-08-20T21:40:32.8437217Z 2024-08-20T21:40:32.8437803Z ``torch.distributed.launch`` is a module that spawns up multiple distributed 2024-08-20T21:40:32.8438137Z training processes on each of the training nodes. 2024-08-20T21:40:32.8438303Z 2024-08-20T21:40:32.8438477Z .. warning:: 2024-08-20T21:40:32.8438637Z 2024-08-20T21:40:32.8439519Z This module is going to be deprecated in favor of :ref:`torchrun `. 2024-08-20T21:40:32.8439676Z 2024-08-20T21:40:32.8440424Z The utility can be used for single-node distributed training, in which one or 2024-08-20T21:40:32.8441005Z more processes per node will be spawned. The utility can be used for either 2024-08-20T21:40:32.8441535Z CPU training or GPU training. If the utility is used for GPU training, 2024-08-20T21:40:32.8442142Z each distributed process will be operating on a single GPU. This can achieve 2024-08-20T21:40:32.8442815Z well-improved single-node training performance. It can also be used in 2024-08-20T21:40:32.8443582Z multi-node distributed training, by spawning up multiple processes on each node 2024-08-20T21:40:32.8444269Z for well-improved multi-node distributed training performance as well. 2024-08-20T21:40:32.8444817Z This will especially be beneficial for systems with multiple Infiniband 2024-08-20T21:40:32.8445585Z interfaces that have direct-GPU support, since all of them can be utilized for 2024-08-20T21:40:32.8445833Z aggregated communication bandwidth. 2024-08-20T21:40:32.8445986Z 2024-08-20T21:40:32.8446713Z In both cases of single-node distributed training or multi-node distributed 2024-08-20T21:40:32.8447267Z training, this utility will launch the given number of processes per node 2024-08-20T21:40:32.8448015Z (``--nproc-per-node``). If used for GPU training, this number needs to be less 2024-08-20T21:40:32.8448582Z or equal to the number of GPUs on the current system (``nproc_per_node``), 2024-08-20T21:40:32.8449061Z and each process will be operating on a single GPU from *GPU 0 to 2024-08-20T21:40:32.8449344Z GPU (nproc_per_node - 1)*. 2024-08-20T21:40:32.8449510Z 2024-08-20T21:40:32.8449716Z **How to use this module:** 2024-08-20T21:40:32.8449862Z 2024-08-20T21:40:32.8450306Z 1. Single-Node multi-process distributed training 2024-08-20T21:40:32.8450455Z 2024-08-20T21:40:32.8450615Z :: 2024-08-20T21:40:32.8450784Z 2024-08-20T21:40:32.8451465Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2024-08-20T21:40:32.8452042Z YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other 2024-08-20T21:40:32.8452325Z arguments of your training script) 2024-08-20T21:40:32.8452481Z 2024-08-20T21:40:32.8453114Z 2. Multi-Node multi-process distributed training: (e.g. two nodes) 2024-08-20T21:40:32.8453279Z 2024-08-20T21:40:32.8453424Z 2024-08-20T21:40:32.8453766Z Node 1: *(IP: 192.168.1.1, and has a free port: 1234)* 2024-08-20T21:40:32.8453918Z 2024-08-20T21:40:32.8454075Z :: 2024-08-20T21:40:32.8454233Z 2024-08-20T21:40:32.8454902Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2024-08-20T21:40:32.8455382Z --nnodes=2 --node-rank=0 --master-addr="192.168.1.1" 2024-08-20T21:40:32.8456025Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2024-08-20T21:40:32.8456421Z and all other arguments of your training script) 2024-08-20T21:40:32.8456571Z 2024-08-20T21:40:32.8456738Z Node 2: 2024-08-20T21:40:32.8456887Z 2024-08-20T21:40:32.8457037Z :: 2024-08-20T21:40:32.8457199Z 2024-08-20T21:40:32.8457866Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2024-08-20T21:40:32.8458359Z --nnodes=2 --node-rank=1 --master-addr="192.168.1.1" 2024-08-20T21:40:32.8458973Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2024-08-20T21:40:32.8459321Z and all other arguments of your training script) 2024-08-20T21:40:32.8459480Z 2024-08-20T21:40:32.8459869Z 3. To look up what optional arguments this module offers: 2024-08-20T21:40:32.8460017Z 2024-08-20T21:40:32.8460177Z :: 2024-08-20T21:40:32.8460324Z 2024-08-20T21:40:32.8460968Z python -m torch.distributed.launch --help 2024-08-20T21:40:32.8461138Z 2024-08-20T21:40:32.8461292Z 2024-08-20T21:40:32.8461488Z **Important Notices:** 2024-08-20T21:40:32.8461649Z 2024-08-20T21:40:32.8462203Z 1. This utility and multi-process distributed (single-node or 2024-08-20T21:40:32.8462921Z multi-node) GPU training currently only achieves the best performance using 2024-08-20T21:40:32.8463540Z the NCCL distributed backend. Thus NCCL backend is the recommended backend to 2024-08-20T21:40:32.8463765Z use for GPU training. 2024-08-20T21:40:32.8463913Z 2024-08-20T21:40:32.8464579Z 2. In your training program, you must parse the command-line argument: 2024-08-20T21:40:32.8465244Z ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module. 2024-08-20T21:40:32.8465808Z If your training program uses GPUs, you should ensure that your code only 2024-08-20T21:40:32.8466289Z runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by: 2024-08-20T21:40:32.8466431Z 2024-08-20T21:40:32.8466674Z Parsing the local_rank argument 2024-08-20T21:40:32.8466823Z 2024-08-20T21:40:32.8466980Z :: 2024-08-20T21:40:32.8467137Z 2024-08-20T21:40:32.8467336Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.8467526Z >>> import argparse 2024-08-20T21:40:32.8467818Z >>> parser = argparse.ArgumentParser() 2024-08-20T21:40:32.8468425Z >>> parser.add_argument("--local-rank", "--local_rank", type=int) 2024-08-20T21:40:32.8468653Z >>> args = parser.parse_args() 2024-08-20T21:40:32.8468813Z 2024-08-20T21:40:32.8469090Z Set your device to local rank using either 2024-08-20T21:40:32.8469239Z 2024-08-20T21:40:32.8469405Z :: 2024-08-20T21:40:32.8469554Z 2024-08-20T21:40:32.8470026Z >>> torch.cuda.set_device(args.local_rank) # before your code runs 2024-08-20T21:40:32.8470185Z 2024-08-20T21:40:32.8470335Z or 2024-08-20T21:40:32.8470482Z 2024-08-20T21:40:32.8470647Z :: 2024-08-20T21:40:32.8470794Z 2024-08-20T21:40:32.8471095Z >>> with torch.cuda.device(args.local_rank): 2024-08-20T21:40:32.8471313Z >>> # your code to run 2024-08-20T21:40:32.8471478Z >>> ... 2024-08-20T21:40:32.8471626Z 2024-08-20T21:40:32.8471842Z .. versionchanged:: 2.0.0 2024-08-20T21:40:32.8471991Z 2024-08-20T21:40:32.8472731Z The launcher will passes the ``--local-rank=`` argument to your script. 2024-08-20T21:40:32.8473464Z From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the 2024-08-20T21:40:32.8473878Z previously used underscored ``--local_rank``. 2024-08-20T21:40:32.8474073Z 2024-08-20T21:40:32.8474635Z For backward compatibility, it may be necessary for users to handle both 2024-08-20T21:40:32.8475429Z cases in their argument parsing code. This means including both ``"--local-rank"`` 2024-08-20T21:40:32.8476100Z and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is 2024-08-20T21:40:32.8476698Z provided, the launcher will trigger an error: "error: unrecognized arguments: 2024-08-20T21:40:32.8477434Z --local-rank=". For training code that only supports PyTorch 2.0.0+, 2024-08-20T21:40:32.8477888Z including ``"--local-rank"`` should be sufficient. 2024-08-20T21:40:32.8478039Z 2024-08-20T21:40:32.8478632Z 3. In your training program, you are supposed to call the following function 2024-08-20T21:40:32.8479228Z at the beginning to start the distributed backend. It is strongly recommended 2024-08-20T21:40:32.8479747Z that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work, 2024-08-20T21:40:32.8480229Z but ``env://`` is the one that is officially supported by this module. 2024-08-20T21:40:32.8480382Z 2024-08-20T21:40:32.8480539Z :: 2024-08-20T21:40:32.8480701Z 2024-08-20T21:40:32.8481294Z >>> torch.distributed.init_process_group(backend='YOUR BACKEND', 2024-08-20T21:40:32.8481798Z >>> init_method='env://') 2024-08-20T21:40:32.8481973Z 2024-08-20T21:40:32.8482552Z 4. In your training program, you can either use regular distributed functions 2024-08-20T21:40:32.8483138Z or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your 2024-08-20T21:40:32.8483632Z training program uses GPUs for training and you would like to use 2024-08-20T21:40:32.8484076Z :func:`torch.nn.parallel.DistributedDataParallel` module, 2024-08-20T21:40:32.8484303Z here is how to configure it. 2024-08-20T21:40:32.8484452Z 2024-08-20T21:40:32.8484603Z :: 2024-08-20T21:40:32.8484767Z 2024-08-20T21:40:32.8485224Z >>> model = torch.nn.parallel.DistributedDataParallel(model, 2024-08-20T21:40:32.8485559Z >>> device_ids=[args.local_rank], 2024-08-20T21:40:32.8485911Z >>> output_device=args.local_rank) 2024-08-20T21:40:32.8486070Z 2024-08-20T21:40:32.8486650Z Please ensure that ``device_ids`` argument is set to be the only GPU device id 2024-08-20T21:40:32.8487248Z that your code will be operating on. This is generally the local rank of the 2024-08-20T21:40:32.8487817Z process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``, 2024-08-20T21:40:32.8488373Z and ``output_device`` needs to be ``args.local_rank`` in order to use this 2024-08-20T21:40:32.8488544Z utility 2024-08-20T21:40:32.8488696Z 2024-08-20T21:40:32.8489304Z 5. Another way to pass ``local_rank`` to the subprocesses via environment variable 2024-08-20T21:40:32.8489824Z ``LOCAL_RANK``. This behavior is enabled when you launch the script with 2024-08-20T21:40:32.8490490Z ``--use-env=True``. You must adjust the subprocess example above to replace 2024-08-20T21:40:32.8491080Z ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher 2024-08-20T21:40:32.8491600Z will not pass ``--local-rank`` when you specify this flag. 2024-08-20T21:40:32.8491760Z 2024-08-20T21:40:32.8491938Z .. warning:: 2024-08-20T21:40:32.8492090Z 2024-08-20T21:40:32.8492577Z ``local_rank`` is NOT globally unique: it is only unique per process 2024-08-20T21:40:32.8493179Z on a machine. Thus, don't use it to decide if you should, e.g., 2024-08-20T21:40:32.8493477Z write to a networked filesystem. See 2024-08-20T21:40:32.8493980Z https://github.com/pytorch/pytorch/issues/12042 for an example of 2024-08-20T21:40:32.8494493Z how things can go wrong if you don't do this correctly. 2024-08-20T21:40:32.8494644Z 2024-08-20T21:40:32.8494793Z 2024-08-20T21:40:32.8494955Z 2024-08-20T21:40:32.8495106Z 2024-08-20T21:40:32.8495826Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8495978Z 2024-08-20T21:40:32.8496166Z warnings.warn(msg) 2024-08-20T21:40:32.8496328Z 2024-08-20T21:40:32.8496697Z --- Parse Warning: 18 / 101 --- 2024-08-20T21:40:32.8499799Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedOptimizer in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/optimizer.py line=130. 2024-08-20T21:40:32.8500669Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8501047Z 2024-08-20T21:40:32.8501633Z DistributedOptimizer takes remote references to parameters scattered 2024-08-20T21:40:32.8502306Z across workers and applies the given optimizer locally for each parameter. 2024-08-20T21:40:32.8502520Z 2024-08-20T21:40:32.8503193Z This class uses :meth:`~torch.distributed.autograd.get_gradients` in order 2024-08-20T21:40:32.8503627Z to retrieve the gradients for specific parameters. 2024-08-20T21:40:32.8503822Z 2024-08-20T21:40:32.8504058Z Concurrent calls to 2024-08-20T21:40:32.8504730Z :meth:`~torch.distributed.optim.DistributedOptimizer.step`, 2024-08-20T21:40:32.8505129Z either from the same or different clients, will 2024-08-20T21:40:32.8505910Z be serialized on each worker -- as each worker's optimizer can only work 2024-08-20T21:40:32.8506528Z on one set of gradients at a time. However, there is no guarantee that 2024-08-20T21:40:32.8507309Z the full forward-backward-optimizer sequence will execute for one client 2024-08-20T21:40:32.8507902Z at a time. This means that the gradients being applied may not correspond 2024-08-20T21:40:32.8508559Z to the latest forward pass executed on a given worker. Also, there is no 2024-08-20T21:40:32.8508843Z guaranteed ordering across workers. 2024-08-20T21:40:32.8509140Z 2024-08-20T21:40:32.8509764Z `DistributedOptimizer` creates the local optimizer with TorchScript enabled 2024-08-20T21:40:32.8510364Z by default, so that optimizer updates are not blocked by the Python Global 2024-08-20T21:40:32.8511074Z Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed 2024-08-20T21:40:32.8511691Z Model Parallel). This feature is currently enabled for most optimizers. You 2024-08-20T21:40:32.8512350Z can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support 2024-08-20T21:40:32.8512714Z for your own custom optimizers. 2024-08-20T21:40:32.8512947Z 2024-08-20T21:40:32.8513162Z Args: 2024-08-20T21:40:32.8513702Z optimizer_class (optim.Optimizer): the class of optimizer to 2024-08-20T21:40:32.8513965Z instantiate on each worker. 2024-08-20T21:40:32.8514506Z params_rref (list[RRef]): list of RRefs to local or remote parameters 2024-08-20T21:40:32.8514827Z to optimize. 2024-08-20T21:40:32.8515376Z args: arguments to pass to the optimizer constructor on each worker. 2024-08-20T21:40:32.8516013Z kwargs: arguments to pass to the optimizer constructor on each worker. 2024-08-20T21:40:32.8516204Z 2024-08-20T21:40:32.8516461Z Example:: 2024-08-20T21:40:32.8516860Z >>> # xdoctest: +SKIP("distributed") 2024-08-20T21:40:32.8517281Z >>> import torch.distributed.autograd as dist_autograd 2024-08-20T21:40:32.8517617Z >>> import torch.distributed.rpc as rpc 2024-08-20T21:40:32.8517923Z >>> from torch import optim 2024-08-20T21:40:32.8518405Z >>> from torch.distributed.optim import DistributedOptimizer 2024-08-20T21:40:32.8518620Z >>> 2024-08-20T21:40:32.8519062Z >>> with dist_autograd.context() as context_id: 2024-08-20T21:40:32.8519296Z >>> # Forward pass. 2024-08-20T21:40:32.8519815Z >>> rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3)) 2024-08-20T21:40:32.8520373Z >>> rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1)) 2024-08-20T21:40:32.8520697Z >>> loss = rref1.to_here() + rref2.to_here() 2024-08-20T21:40:32.8520950Z >>> 2024-08-20T21:40:32.8521232Z >>> # Backward pass. 2024-08-20T21:40:32.8521634Z >>> dist_autograd.backward(context_id, [loss.sum()]) 2024-08-20T21:40:32.8521921Z >>> 2024-08-20T21:40:32.8522148Z >>> # Optimizer. 2024-08-20T21:40:32.8522463Z >>> dist_optim = DistributedOptimizer( 2024-08-20T21:40:32.8522737Z >>> optim.SGD, 2024-08-20T21:40:32.8523074Z >>> [rref1, rref2], 2024-08-20T21:40:32.8523289Z >>> lr=0.05, 2024-08-20T21:40:32.8523538Z >>> ) 2024-08-20T21:40:32.8523808Z >>> dist_optim.step(context_id) 2024-08-20T21:40:32.8524037Z 2024-08-20T21:40:32.8524460Z __ https://github.com/pytorch/tutorials/pull/1465 2024-08-20T21:40:32.8524708Z 2024-08-20T21:40:32.8525491Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8525882Z 2024-08-20T21:40:32.8526119Z warnings.warn(msg) 2024-08-20T21:40:32.8526313Z 2024-08-20T21:40:32.8526794Z --- Parse Warning: 19 / 101 --- 2024-08-20T21:40:32.8529974Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PostLocalSGDOptimizer in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9. 2024-08-20T21:40:32.8530820Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8531016Z 2024-08-20T21:40:32.8532185Z Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD `_, 2024-08-20T21:40:32.8532630Z This optimizer runs local optimizer at every step. 2024-08-20T21:40:32.8533636Z After the warm-up stage, it averages parameters periodically afer the local optimizer is applied. 2024-08-20T21:40:32.8533883Z 2024-08-20T21:40:32.8549417Z Args: 2024-08-20T21:40:32.8549758Z optim: The local optimizer. 2024-08-20T21:40:32.8550514Z averager: A model averager instance to run post-localSGD algorithm. 2024-08-20T21:40:32.8550671Z 2024-08-20T21:40:32.8550880Z Example:: 2024-08-20T21:40:32.8551031Z 2024-08-20T21:40:32.8551324Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:32.8551526Z >>> import torch 2024-08-20T21:40:32.8551787Z >>> import torch.distributed as dist 2024-08-20T21:40:32.8552580Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2024-08-20T21:40:32.8552812Z >>> import torch.nn as nn 2024-08-20T21:40:32.8553260Z >>> from torch.distributed.optim import PostLocalSGDOptimizer 2024-08-20T21:40:32.8553897Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2024-08-20T21:40:32.8554129Z >>> PostLocalSGDState, 2024-08-20T21:40:32.8554336Z >>> post_localSGD_hook, 2024-08-20T21:40:32.8554503Z >>> ) 2024-08-20T21:40:32.8554683Z >>> 2024-08-20T21:40:32.8555040Z >>> model = nn.parallel.DistributedDataParallel( 2024-08-20T21:40:32.8555382Z >>> module, device_ids=[rank], output_device=rank 2024-08-20T21:40:32.8555547Z >>> ) 2024-08-20T21:40:32.8555708Z >>> 2024-08-20T21:40:32.8556178Z >>> # Register a post-localSGD communication hook. 2024-08-20T21:40:32.8556863Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2024-08-20T21:40:32.8557238Z >>> model.register_comm_hook(state, post_localSGD_hook) 2024-08-20T21:40:32.8557419Z >>> 2024-08-20T21:40:32.8558042Z >>> # Create a post-localSGD optimizer that wraps a local optimizer. 2024-08-20T21:40:32.8558663Z >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as 2024-08-20T21:40:32.8559058Z >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2024-08-20T21:40:32.8559548Z >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01) 2024-08-20T21:40:32.8559797Z >>> opt = PostLocalSGDOptimizer( 2024-08-20T21:40:32.8560028Z >>> optim=local_optim, 2024-08-20T21:40:32.8560674Z >>> averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2024-08-20T21:40:32.8560857Z >>> ) 2024-08-20T21:40:32.8561022Z >>> 2024-08-20T21:40:32.8561593Z >>> # In the first 100 steps, DDP runs global gradient averaging at every step. 2024-08-20T21:40:32.8562534Z >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default), 2024-08-20T21:40:32.8563656Z >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer. 2024-08-20T21:40:32.8563883Z >>> for step in range(0, 200): 2024-08-20T21:40:32.8564096Z >>> opt.zero_grad() 2024-08-20T21:40:32.8564347Z >>> loss = loss_fn(output, labels) 2024-08-20T21:40:32.8564543Z >>> loss.backward() 2024-08-20T21:40:32.8564742Z >>> opt.step() 2024-08-20T21:40:32.8564899Z 2024-08-20T21:40:32.8565701Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8565880Z 2024-08-20T21:40:32.8566074Z warnings.warn(msg) 2024-08-20T21:40:32.8566226Z 2024-08-20T21:40:32.8566613Z --- Parse Warning: 20 / 101 --- 2024-08-20T21:40:32.8569636Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=282. 2024-08-20T21:40:32.8570395Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8570554Z 2024-08-20T21:40:32.8571532Z Wrap an arbitrary :class:`optim.Optimizer ` and shards its states across ranks in the group. 2024-08-20T21:40:32.8571702Z 2024-08-20T21:40:32.8571987Z The sharing is done as described by ZeRO_. 2024-08-20T21:40:32.8572149Z 2024-08-20T21:40:32.8572495Z The local optimizer instance in each rank is only 2024-08-20T21:40:32.8573057Z responsible for updating approximately ``1 / world_size`` parameters and 2024-08-20T21:40:32.8573550Z hence only needs to keep ``1 / world_size`` optimizer states. After 2024-08-20T21:40:32.8574150Z parameters are updated locally, each rank will broadcast its parameters to 2024-08-20T21:40:32.8574638Z all other peers to keep all model replicas in the same state. 2024-08-20T21:40:32.8575108Z ``ZeroRedundancyOptimizer`` can be used in conjunction with 2024-08-20T21:40:32.8575870Z :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak 2024-08-20T21:40:32.8576067Z memory consumption. 2024-08-20T21:40:32.8576240Z 2024-08-20T21:40:32.8576962Z ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number 2024-08-20T21:40:32.8577529Z of parameters at each rank. Each parameter belongs to a single rank and is 2024-08-20T21:40:32.8578137Z not divided among ranks. The partition is arbitrary and might not match the 2024-08-20T21:40:32.8578432Z the parameter registration or usage order. 2024-08-20T21:40:32.8578590Z 2024-08-20T21:40:32.8578781Z Arguments: 2024-08-20T21:40:32.8579225Z params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s 2024-08-20T21:40:32.8579697Z or :class:`dict` s giving all parameters, which will be sharded 2024-08-20T21:40:32.8579884Z across ranks. 2024-08-20T21:40:32.8580032Z 2024-08-20T21:40:32.8580229Z Keyword Args: 2024-08-20T21:40:32.8580807Z optimizer_class (:class:`torch.nn.Optimizer`): the class of the local 2024-08-20T21:40:32.8580986Z optimizer. 2024-08-20T21:40:32.8581481Z process_group (``ProcessGroup``, optional): ``torch.distributed`` 2024-08-20T21:40:32.8581928Z ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by 2024-08-20T21:40:32.8582268Z :meth:`torch.distributed.init_process_group`). 2024-08-20T21:40:32.8582855Z parameters_as_bucket_view (bool, optional): if ``True``, parameters are 2024-08-20T21:40:32.8583367Z packed into buckets to speed up communication, and ``param.data`` 2024-08-20T21:40:32.8583853Z fields point to bucket views at different offsets; if ``False``, 2024-08-20T21:40:32.8584353Z each individual parameter is communicated separately, and each 2024-08-20T21:40:32.8584697Z ``params.data`` stays intact (default: ``False``). 2024-08-20T21:40:32.8585157Z overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is 2024-08-20T21:40:32.8585756Z overlapped with :class:`DistributedDataParallel` 's gradient 2024-08-20T21:40:32.8586243Z synchronization; this requires (1) either a functional optimizer 2024-08-20T21:40:32.8586698Z for the ``optimizer_class`` argument or one with a functional 2024-08-20T21:40:32.8587188Z equivalent and (2) registering a DDP communication hook 2024-08-20T21:40:32.8587657Z constructed from one of the functions in ``ddp_zero_hook.py``; 2024-08-20T21:40:32.8588051Z parameters are packed into buckets matching those in 2024-08-20T21:40:32.8588424Z :class:`DistributedDataParallel`, meaning that the 2024-08-20T21:40:32.8588769Z ``parameters_as_bucket_view`` argument is ignored. 2024-08-20T21:40:32.8589242Z If ``False``, :meth:`step` runs disjointly after the backward pass 2024-08-20T21:40:32.8589464Z (per normal). 2024-08-20T21:40:32.8589681Z (default: ``False``) 2024-08-20T21:40:32.8590180Z **defaults: any trailing arguments, which are forwarded to the local 2024-08-20T21:40:32.8590361Z optimizer. 2024-08-20T21:40:32.8590532Z 2024-08-20T21:40:32.8590708Z Example:: 2024-08-20T21:40:32.8590861Z 2024-08-20T21:40:32.8591081Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.8591290Z >>> import torch.nn as nn 2024-08-20T21:40:32.8591771Z >>> from torch.distributed.optim import ZeroRedundancyOptimizer 2024-08-20T21:40:32.8592273Z >>> from torch.nn.parallel import DistributedDataParallel as DDP 2024-08-20T21:40:32.8592819Z >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)]) 2024-08-20T21:40:32.8593124Z >>> ddp = DDP(model, device_ids=[rank]) 2024-08-20T21:40:32.8593400Z >>> opt = ZeroRedundancyOptimizer( 2024-08-20T21:40:32.8593610Z >>> ddp.parameters(), 2024-08-20T21:40:32.8593882Z >>> optimizer_class=torch.optim.Adam, 2024-08-20T21:40:32.8594074Z >>> lr=0.01 2024-08-20T21:40:32.8594240Z >>> ) 2024-08-20T21:40:32.8594481Z >>> ddp(inputs).sum().backward() 2024-08-20T21:40:32.8594666Z >>> opt.step() 2024-08-20T21:40:32.8594822Z 2024-08-20T21:40:32.8595015Z .. warning:: 2024-08-20T21:40:32.8595503Z Currently, ``ZeroRedundancyOptimizer`` requires that all of the 2024-08-20T21:40:32.8595942Z passed-in parameters are the same dense type. 2024-08-20T21:40:32.8596118Z 2024-08-20T21:40:32.8596294Z .. warning:: 2024-08-20T21:40:32.8596812Z If you pass ``overlap_with_ddp=True``, be wary of the following: Given 2024-08-20T21:40:32.8597305Z the way that overlapping :class:`DistributedDataParallel` with 2024-08-20T21:40:32.8597845Z :class:`ZeroRedundancyOptimizer` is currently implemented, the first 2024-08-20T21:40:32.8598368Z two or three training iterations do not perform parameter updates in 2024-08-20T21:40:32.8598826Z the optimizer step, depending on if ``static_graph=False`` or 2024-08-20T21:40:32.8599242Z ``static_graph=True``, respectively. This is because it needs 2024-08-20T21:40:32.8599657Z information about the gradient bucketing strategy used by 2024-08-20T21:40:32.8600185Z :class:`DistributedDataParallel`, which is not finalized until the 2024-08-20T21:40:32.8600660Z second forward pass if ``static_graph=False`` or until the third 2024-08-20T21:40:32.8601233Z forward pass if ``static_graph=True``. To adjust for this, one option 2024-08-20T21:40:32.8601458Z is to prepend dummy inputs. 2024-08-20T21:40:32.8601616Z 2024-08-20T21:40:32.8602214Z .. warning:: ZeroRedundancyOptimizer is experimental and subject to change. 2024-08-20T21:40:32.8602367Z 2024-08-20T21:40:32.8602648Z .. _ZeRO: https://arxiv.org/abs/1910.02054 2024-08-20T21:40:32.8602816Z 2024-08-20T21:40:32.8602972Z 2024-08-20T21:40:32.8603695Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8603864Z 2024-08-20T21:40:32.8604058Z warnings.warn(msg) 2024-08-20T21:40:32.8604217Z 2024-08-20T21:40:32.8604597Z --- Parse Warning: 21 / 101 --- 2024-08-20T21:40:32.8607575Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=init_from_local_shards in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361. 2024-08-20T21:40:32.8608339Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8608495Z 2024-08-20T21:40:32.8609075Z Creates an :class:`ShardedTensor` from local shards and the global metadata. 2024-08-20T21:40:32.8609438Z Needs to be called on all ranks in an SPMD fashion. 2024-08-20T21:40:32.8609592Z 2024-08-20T21:40:32.8609755Z Args: 2024-08-20T21:40:32.8610415Z local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list 2024-08-20T21:40:32.8610810Z of shards that represent the local shards on this rank. 2024-08-20T21:40:32.8611369Z global_size (int...): a list, tuple, or `torch.Size` of integers defining the 2024-08-20T21:40:32.8611659Z shape of the overall sharded tensor. 2024-08-20T21:40:32.8611818Z 2024-08-20T21:40:32.8611995Z Keyword args: 2024-08-20T21:40:32.8612619Z process_group (ProcessGroup, optional): The process group to work on. If None, 2024-08-20T21:40:32.8612908Z the default process group will be used. 2024-08-20T21:40:32.8613323Z init_rrefs (bool, optional): Whether or not to initialize 2024-08-20T21:40:32.8613806Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2024-08-20T21:40:32.8614311Z Need to initialize the RPC Framework if specified as ``True``. 2024-08-20T21:40:32.8614524Z Default: ``False``. 2024-08-20T21:40:32.8614679Z 2024-08-20T21:40:32.8614846Z Returns: 2024-08-20T21:40:32.8615206Z A :class:`ShardedTensor` object handle on this rank 2024-08-20T21:40:32.8615364Z 2024-08-20T21:40:32.8615516Z 2024-08-20T21:40:32.8615702Z Examples: 2024-08-20T21:40:32.8616322Z Suppose we want construct a sharded tensor on two ranks, global size = (10, 5), 2024-08-20T21:40:32.8616781Z each shard have a (5, 5) local tensor, we can do it like below: 2024-08-20T21:40:32.8616956Z 2024-08-20T21:40:32.8617129Z on rank 0: 2024-08-20T21:40:32.8617397Z >>> # xdoctest: +SKIP("not distributed") 2024-08-20T21:40:32.8617684Z >>> local_shard_metadata = ShardMetadata( 2024-08-20T21:40:32.8617900Z >>> shard_offsets=[0, 0], 2024-08-20T21:40:32.8618127Z >>> shard_lengths=[5, 5], 2024-08-20T21:40:32.8618354Z >>> placement="rank:0/cuda:0" 2024-08-20T21:40:32.8618515Z >>> ) 2024-08-20T21:40:32.8618978Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2024-08-20T21:40:32.8619420Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2024-08-20T21:40:32.8619573Z 2024-08-20T21:40:32.8619764Z on rank 1: 2024-08-20T21:40:32.8620030Z >>> # xdoctest: +SKIP("not distributed") 2024-08-20T21:40:32.8620302Z >>> local_shard_metadata = ShardMetadata( 2024-08-20T21:40:32.8620594Z >>> shard_offsets=[5, 0], 2024-08-20T21:40:32.8620817Z >>> shard_lengths=[5, 5], 2024-08-20T21:40:32.8621085Z >>> placement="rank:1/cuda:1" 2024-08-20T21:40:32.8621262Z >>> ) 2024-08-20T21:40:32.8621705Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2024-08-20T21:40:32.8622144Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2024-08-20T21:40:32.8622318Z 2024-08-20T21:40:32.8623054Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8623206Z 2024-08-20T21:40:32.8623416Z warnings.warn(msg) 2024-08-20T21:40:32.8623550Z 2024-08-20T21:40:32.8623866Z --- Parse Warning: 22 / 101 --- 2024-08-20T21:40:32.8627142Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=784. 2024-08-20T21:40:32.8627907Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8628076Z 2024-08-20T21:40:32.8628681Z Initialize a ShardedTensor given only one local tensor, global sharded tensor 2024-08-20T21:40:32.8628931Z size and sharding spec on each rank. 2024-08-20T21:40:32.8629106Z 2024-08-20T21:40:32.8629271Z Args: 2024-08-20T21:40:32.8629806Z local_tensor (Tensor): Single tensor of local shard stored in each rank. 2024-08-20T21:40:32.8630424Z sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): 2024-08-20T21:40:32.8630809Z The specification describing how to shard the Tensor. 2024-08-20T21:40:32.8631213Z global_size (Sequence[int]): Size of the sharded tensor. 2024-08-20T21:40:32.8631791Z process_group (ProcessGroup, optional): The process group to aggregate on. 2024-08-20T21:40:32.8631980Z Default: None 2024-08-20T21:40:32.8632398Z init_rrefs (bool, optional): Whether or not to initialize 2024-08-20T21:40:32.8632891Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2024-08-20T21:40:32.8633360Z Need to initialize the RPC Framework if specified as ``True``. 2024-08-20T21:40:32.8633573Z Default: ``False``. 2024-08-20T21:40:32.8633784Z 2024-08-20T21:40:32.8633951Z Returns: 2024-08-20T21:40:32.8634548Z A :class:`ShardedTensor` sharded based on the given sharding_spec with local 2024-08-20T21:40:32.8634811Z tensor stored in the current rank. 2024-08-20T21:40:32.8634961Z 2024-08-20T21:40:32.8635151Z Examples: 2024-08-20T21:40:32.8635352Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.8635668Z >>> # All tensors below are of torch.int64 type. 2024-08-20T21:40:32.8635952Z >>> # We have 2 process groups, 2 ranks. 2024-08-20T21:40:32.8636369Z >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank 2024-08-20T21:40:32.8636854Z >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2])) 2024-08-20T21:40:32.8637041Z >>> local_tensor 2024-08-20T21:40:32.8637252Z tensor([[1, 2, 3, 4]]) # Rank 0 2024-08-20T21:40:32.8637477Z tensor([[3, 4, 5, 6]]) # Rank 1 2024-08-20T21:40:32.8637671Z >>> sharding_dim = 0 2024-08-20T21:40:32.8637948Z >>> sharding_spec = ChunkShardingSpec( 2024-08-20T21:40:32.8638167Z dim=sharding_dim, 2024-08-20T21:40:32.8638357Z placements=[ 2024-08-20T21:40:32.8638550Z "rank:0/cuda:0", 2024-08-20T21:40:32.8638761Z "rank:1/cuda:1", 2024-08-20T21:40:32.8638929Z ], 2024-08-20T21:40:32.8639094Z ) 2024-08-20T21:40:32.8639707Z >>> st = ShardedTensor._init_from_local_tensor(local_tensor, sharding_spec, [2, 4]) 2024-08-20T21:40:32.8639874Z >>> st 2024-08-20T21:40:32.8640059Z ShardedTensor( 2024-08-20T21:40:32.8640309Z ShardedTensorMetadata( 2024-08-20T21:40:32.8640567Z shards_metadata=[ 2024-08-20T21:40:32.8641205Z ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0), 2024-08-20T21:40:32.8641815Z ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1), 2024-08-20T21:40:32.8641985Z ], 2024-08-20T21:40:32.8642222Z size=torch.Size([2, 4]) 2024-08-20T21:40:32.8642385Z ) 2024-08-20T21:40:32.8642581Z >>> st.local_tensor() 2024-08-20T21:40:32.8642808Z tensor([1, 2, 3, 4]) # Rank 0 2024-08-20T21:40:32.8643012Z tensor([3, 4, 5, 6]) # Rank 1 2024-08-20T21:40:32.8643167Z 2024-08-20T21:40:32.8643839Z Warning: This API is experimental and subject to change. It lacks of a fully across 2024-08-20T21:40:32.8644430Z rank validations, and we only validate the local shard on the current rank. 2024-08-20T21:40:32.8645064Z We fully rely on the user to ensure local tensor is sharded based on the 2024-08-20T21:40:32.8645280Z sharding spec. 2024-08-20T21:40:32.8645435Z 2024-08-20T21:40:32.8646166Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8646339Z 2024-08-20T21:40:32.8646533Z warnings.warn(msg) 2024-08-20T21:40:32.8646709Z 2024-08-20T21:40:32.8647081Z --- Parse Warning: 23 / 101 --- 2024-08-20T21:40:32.8649991Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor.reshard in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1023. 2024-08-20T21:40:32.8650750Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8650908Z 2024-08-20T21:40:32.8651525Z Reshard a sharded tensor given the ``resharding_spec``. For now, we only support 2024-08-20T21:40:32.8651742Z single local shard. 2024-08-20T21:40:32.8651903Z 2024-08-20T21:40:32.8652562Z If ``resharding_spec`` is same as the original one, this becomes a no-op. 2024-08-20T21:40:32.8653158Z If only ``resharding_spec`` shares the same sharding dim with the original one, 2024-08-20T21:40:32.8653385Z we swap local shards directly. 2024-08-20T21:40:32.8654119Z For more generic cases, we merge different shards across different ranks and split 2024-08-20T21:40:32.8654742Z the local shards based on the ``resharding_spec`` via `all_to_all` collective API. 2024-08-20T21:40:32.8654892Z 2024-08-20T21:40:32.8655074Z Args: 2024-08-20T21:40:32.8655742Z resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The 2024-08-20T21:40:32.8656117Z specification describing how the tensor is sharded. 2024-08-20T21:40:32.8656287Z 2024-08-20T21:40:32.8656454Z Returns: 2024-08-20T21:40:32.8656934Z A :class:`ShardedTensor` object whose local shards are resharded. 2024-08-20T21:40:32.8657110Z 2024-08-20T21:40:32.8657279Z Examples: 2024-08-20T21:40:32.8657481Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.8657767Z >>> # We have 2 process groups, 2 ranks. 2024-08-20T21:40:32.8658183Z >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank 2024-08-20T21:40:32.8658461Z >>> tensor = torch.stack([tensor, tensor]) 2024-08-20T21:40:32.8658645Z >>> tensor 2024-08-20T21:40:32.8658921Z tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0 2024-08-20T21:40:32.8659206Z tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1 2024-08-20T21:40:32.8659470Z tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2 2024-08-20T21:40:32.8659751Z tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3 2024-08-20T21:40:32.8659958Z >>> sharding_dim = 0 2024-08-20T21:40:32.8660194Z >>> spec = ChunkShardingSpec( 2024-08-20T21:40:32.8660392Z dim=sharding_dim, 2024-08-20T21:40:32.8660695Z placements=[ 2024-08-20T21:40:32.8660956Z "rank:0/cuda:0", 2024-08-20T21:40:32.8661148Z "rank:1/cuda:1", 2024-08-20T21:40:32.8661463Z "rank:2/cuda:2", 2024-08-20T21:40:32.8661656Z "rank:3/cuda:3", 2024-08-20T21:40:32.8661822Z ], 2024-08-20T21:40:32.8662004Z ) 2024-08-20T21:40:32.8662225Z >>> current_offsets = [0] * 2 2024-08-20T21:40:32.8662453Z >>> current_offsets[0] = rank * 2 2024-08-20T21:40:32.8662718Z >>> shard_metadata = ShardMetadata( 2024-08-20T21:40:32.8663051Z shard_offsets=copy.deepcopy(current_offsets), 2024-08-20T21:40:32.8663282Z shard_sizes=tensor.size(), 2024-08-20T21:40:32.8663566Z placement=spec.placements[rank], 2024-08-20T21:40:32.8663727Z ) 2024-08-20T21:40:32.8663920Z >>> local_shards = [ 2024-08-20T21:40:32.8664109Z Shard( 2024-08-20T21:40:32.8664395Z tensor=tensor, 2024-08-20T21:40:32.8664655Z metadata=shard_metadata, 2024-08-20T21:40:32.8664818Z ) 2024-08-20T21:40:32.8664976Z ] 2024-08-20T21:40:32.8665523Z >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size()) 2024-08-20T21:40:32.8665713Z >>> sharding_dim = 1 2024-08-20T21:40:32.8666001Z >>> resharding_spec = ChunkShardingSpec( 2024-08-20T21:40:32.8666218Z dim=sharding_dim, 2024-08-20T21:40:32.8666407Z placements=[ 2024-08-20T21:40:32.8666603Z "rank:0/cuda:0", 2024-08-20T21:40:32.8666808Z "rank:1/cuda:1", 2024-08-20T21:40:32.8666997Z "rank:2/cuda:2", 2024-08-20T21:40:32.8667185Z "rank:3/cuda:3", 2024-08-20T21:40:32.8667366Z ], 2024-08-20T21:40:32.8667525Z ) 2024-08-20T21:40:32.8667756Z >>> st.reshard(resharding_spec) 2024-08-20T21:40:32.8668035Z >>> tensor = st.local_shards()[0].tensor 2024-08-20T21:40:32.8668205Z >>> tensor 2024-08-20T21:40:32.8668539Z tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0 2024-08-20T21:40:32.8668881Z tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1 2024-08-20T21:40:32.8669204Z tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2 2024-08-20T21:40:32.8669595Z tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3 2024-08-20T21:40:32.8669751Z 2024-08-20T21:40:32.8670491Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8670661Z 2024-08-20T21:40:32.8670856Z warnings.warn(msg) 2024-08-20T21:40:32.8671011Z 2024-08-20T21:40:32.8671391Z --- Parse Warning: 24 / 101 --- 2024-08-20T21:40:32.8674164Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardingPlan in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12. 2024-08-20T21:40:32.8674911Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8675081Z 2024-08-20T21:40:32.8675587Z Representation of a sharding plan, describes how to shard a module 2024-08-20T21:40:32.8676283Z across hosts. `plan` is used to shard module parameters according to the spec provided, 2024-08-20T21:40:32.8676960Z `output_plan` and `return_local_tensor` are optional, they are used to specify the output 2024-08-20T21:40:32.8677591Z layout of a module with a spec, and when to convert back to data parallel fashion. 2024-08-20T21:40:32.8677766Z 2024-08-20T21:40:32.8677931Z Args: 2024-08-20T21:40:32.8678583Z plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`, 2024-08-20T21:40:32.8678985Z :class:`torch.distributed._shard.sharder.Sharder`]): 2024-08-20T21:40:32.8679848Z a dict describes how to shard a module, there're currently two ways to shard a module: 2024-08-20T21:40:32.8680524Z 1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of 2024-08-20T21:40:32.8680810Z a parameter to a `ShardingSpec`. 2024-08-20T21:40:32.8681450Z 2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module 2024-08-20T21:40:32.8681693Z to a `Sharder` object. 2024-08-20T21:40:32.8682478Z output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional): 2024-08-20T21:40:32.8683272Z a dict specifies the layout of a module's output which produces a ShardedTensor, 2024-08-20T21:40:32.8683889Z keyed by the name of module to ShardingSpec("" in key means the root module). 2024-08-20T21:40:32.8684079Z Default: `None` 2024-08-20T21:40:32.8684689Z return_local_tensor (List[str], optional): a list of string, each element enables 2024-08-20T21:40:32.8685532Z a module's sharded output to be returned as a Tensor from its local shards to 2024-08-20T21:40:32.8686126Z ensure further processing in a data parallel fashion. ("" in list means the 2024-08-20T21:40:32.8686309Z root module). 2024-08-20T21:40:32.8686513Z Default: None 2024-08-20T21:40:32.8686687Z Example: 2024-08-20T21:40:32.8687440Z Suppose we want to shard a module with two linear layers and then run it with DDP, we also 2024-08-20T21:40:32.8688172Z want to convert the output of the second linear layer back to DDP, we can do it as follows: 2024-08-20T21:40:32.8688326Z 2024-08-20T21:40:32.8688726Z >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d) 2024-08-20T21:40:32.8688954Z >>> class MyModule(nn.Module): 2024-08-20T21:40:32.8689277Z >>> def __init__(self) -> None: 2024-08-20T21:40:32.8689500Z >>> super().__init__() 2024-08-20T21:40:32.8689728Z >>> self.fc1 = nn.Linear() 2024-08-20T21:40:32.8689949Z >>> self.gelu = nn.GELU() 2024-08-20T21:40:32.8690184Z >>> self.fc2 = nn.Linear() 2024-08-20T21:40:32.8690410Z >>> self.relu = nn.Linear() 2024-08-20T21:40:32.8690577Z >>> 2024-08-20T21:40:32.8690826Z >>> def forward(self, input): 2024-08-20T21:40:32.8691264Z >>> return self.relu(self.fc2(self.gelu(self.fc1(input)))) 2024-08-20T21:40:32.8691416Z 2024-08-20T21:40:32.8691585Z 2024-08-20T21:40:32.8691881Z >>> # xdoctest: +SKIP("Undefined spec1, spec2) 2024-08-20T21:40:32.8692143Z >>> sharding_plan = ShardingPlan( 2024-08-20T21:40:32.8692318Z >>> plan={ 2024-08-20T21:40:32.8692532Z >>> "fc1.weight": spec1, 2024-08-20T21:40:32.8692757Z >>> "fc2.weight": spec2 2024-08-20T21:40:32.8692931Z >>> }, 2024-08-20T21:40:32.8693124Z >>> output_plan={ 2024-08-20T21:40:32.8693348Z >>> "fc2": output_spec 2024-08-20T21:40:32.8693522Z >>> }, 2024-08-20T21:40:32.8693759Z >>> return_local_tensor=["fc2"] 2024-08-20T21:40:32.8693938Z >>> ) 2024-08-20T21:40:32.8694097Z 2024-08-20T21:40:32.8694823Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8694989Z 2024-08-20T21:40:32.8695193Z warnings.warn(msg) 2024-08-20T21:40:32.8695345Z 2024-08-20T21:40:32.8695724Z --- Parse Warning: 25 / 101 --- 2024-08-20T21:40:32.8698507Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=local_map in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_tensor/experimental/func_map.py line=33. 2024-08-20T21:40:32.8699266Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8699421Z 2024-08-20T21:40:32.8700061Z ``local_map`` is an experimental API that allows users to apply on :class:`DTensors` 2024-08-20T21:40:32.8700717Z a function that is written to be applied on :class:`~torch.Tensors`. 2024-08-20T21:40:32.8700976Z 2024-08-20T21:40:32.8701134Z Args: 2024-08-20T21:40:32.8701637Z func (Callable): the function to be applied on each local shard of 2024-08-20T21:40:32.8701834Z :class:`DTensor`s. 2024-08-20T21:40:32.8702354Z out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]): 2024-08-20T21:40:32.8703142Z the desired placements of the :class:`DTensor`s in ``func``'s flattened output. 2024-08-20T21:40:32.8703733Z If the flattened ``output`` is a single value, the ``out_placements`` should be 2024-08-20T21:40:32.8704313Z of type `PlacementType`. Otherwise if the flattened ``output`` has multiple 2024-08-20T21:40:32.8704915Z values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1 2024-08-20T21:40:32.8705184Z mapping to the flattened ``output``. 2024-08-20T21:40:32.8705766Z Besides, for :class:`Tensor` output, we use `PlacementType` as its 2024-08-20T21:40:32.8706459Z placements (a `Tuple[Placement]` value). For non-:class:`Tensor` output, 2024-08-20T21:40:32.8706730Z the `PlacementType` should be `None`. 2024-08-20T21:40:32.8707334Z Note that the only exception is when no :class:`DTensor` argument is passed 2024-08-20T21:40:32.8707912Z in. In this case, even if `out_placements` is not `None`, the result function 2024-08-20T21:40:32.8708465Z should ignore the desired placements because the application is not on 2024-08-20T21:40:32.8708676Z :class:`DTensors`. 2024-08-20T21:40:32.8709050Z in_placements (Tuple[`PlacementType`, ...], optional): 2024-08-20T21:40:32.8709837Z the required placements of the :class:`DTensor`s in ``func``'s flattened input. 2024-08-20T21:40:32.8710375Z If ``in_placements`` is specified, ``local_map`` would examine whether the 2024-08-20T21:40:32.8710929Z placements of each :class:`DTensor` argument is the same as the required 2024-08-20T21:40:32.8711371Z placements or not. If the placements are not the same and 2024-08-20T21:40:32.8711952Z ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if 2024-08-20T21:40:32.8712576Z ``redistribute_inputs`` is `True`, the argument will be first redistributed to 2024-08-20T21:40:32.8713203Z the required sharding placements before passing its local tensor to ``func``. 2024-08-20T21:40:32.8713745Z The only exception is when required placements are not ``None`` and the 2024-08-20T21:40:32.8714387Z argument is a :class:`torch.Tensor`. In this case, the placements examination 2024-08-20T21:40:32.8714935Z will be skipped and the argument will be directly passed to ``func``. 2024-08-20T21:40:32.8715496Z If ``in_placements`` is ``None``, no placements examination will be performed. 2024-08-20T21:40:32.8715704Z Default: None 2024-08-20T21:40:32.8716007Z device_mesh (:class:`DeviceMesh`, optional): 2024-08-20T21:40:32.8716525Z the device mesh that all the :class:`DTensor`s are placed on. If not 2024-08-20T21:40:32.8717250Z specified, this will be inferred from the input :class:`DTensor`s' device 2024-08-20T21:40:32.8717814Z mesh. `local_map` requires every :class:`DTensor`s to be placed on the same 2024-08-20T21:40:32.8718040Z device mesh. Default: None. 2024-08-20T21:40:32.8718327Z redistribute_inputs (bool, optional): 2024-08-20T21:40:32.8718942Z the bool value indicating whether to reshard the input :class:`DTensor`s when 2024-08-20T21:40:32.8719552Z their placements are different from the required input placements. If this 2024-08-20T21:40:32.8720122Z value is ``False`` and some :class:`DTensor` input has a different placement, 2024-08-20T21:40:32.8720444Z an exception will be raised. Default: False. 2024-08-20T21:40:32.8720655Z 2024-08-20T21:40:32.8720826Z Returns: 2024-08-20T21:40:32.8721457Z A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor` 2024-08-20T21:40:32.8722053Z and returns a :class:`DTensor` constructed from the return value of ``func``. 2024-08-20T21:40:32.8722214Z 2024-08-20T21:40:32.8722378Z Raises: 2024-08-20T21:40:32.8723023Z AssertionError: If the input :class:`DTensor`s are not placed on the same device 2024-08-20T21:40:32.8723650Z mesh, or if they are placed on a different device mesh than the ``device_mesh`` 2024-08-20T21:40:32.8723852Z argument passed in. 2024-08-20T21:40:32.8724027Z 2024-08-20T21:40:32.8724809Z AssertionError: For any non-:class:`DTensor` output, we require its corresponding 2024-08-20T21:40:32.8725442Z output placement in ``out_placements`` be None. An AssertionError will be raised 2024-08-20T21:40:32.8725922Z if this is not the case. 2024-08-20T21:40:32.8726083Z 2024-08-20T21:40:32.8726725Z ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs 2024-08-20T21:40:32.8727062Z a redistribution according to ``in_placements``. 2024-08-20T21:40:32.8727217Z 2024-08-20T21:40:32.8727405Z Example: 2024-08-20T21:40:32.8727661Z >>> # xdoctest: +SKIP("distributed") 2024-08-20T21:40:32.8727971Z >>> def mm_allreduce_forward(device_mesh, W, X): 2024-08-20T21:40:32.8728262Z >>> partial_sum_tensor = torch.mm(W, X) 2024-08-20T21:40:32.8728825Z >>> reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh) 2024-08-20T21:40:32.8729044Z >>> return reduced_tensor 2024-08-20T21:40:32.8729221Z >>> 2024-08-20T21:40:32.8729509Z >>> W = torch.randn(12, 8, requires_grad=False) 2024-08-20T21:40:32.8729802Z >>> X = torch.randn(8, 16, requires_grad=False) 2024-08-20T21:40:32.8730023Z >>> Y = torch.mm(W, X) 2024-08-20T21:40:32.8730629Z >>> row_wise = [Shard(0)] # row-wise sharding placements on 1-d mesh 2024-08-20T21:40:32.8731232Z >>> col_wise = [Shard(1)] # col-wise sharding placements on 1-d mesh 2024-08-20T21:40:32.8731401Z >>> 2024-08-20T21:40:32.8732055Z >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor convertion 2024-08-20T21:40:32.8732439Z >>> local_mm_allreduce_forward = local_map( 2024-08-20T21:40:32.8732653Z >>> mm_allreduce_forward, 2024-08-20T21:40:32.8732922Z >>> out_placements=[Replicate()], 2024-08-20T21:40:32.8733207Z >>> in_placements=[col_wise, row_wise], 2024-08-20T21:40:32.8733431Z >>> device_mesh=device_mesh, 2024-08-20T21:40:32.8733598Z >>> ) 2024-08-20T21:40:32.8733774Z >>> 2024-08-20T21:40:32.8734561Z >>> W_dt = distribute_tensor(W, device_mesh, (col_wise)) # col-wisely sharded W tensor 2024-08-20T21:40:32.8735354Z >>> X_dt = distribute_tensor(X, device_mesh, (row_wise)) # row-wisely sharded X tensor 2024-08-20T21:40:32.8736197Z >>> Y_dt = local_mm_allreduce_forward(device_mesh, W_dt, X_dt) # apply local_mm_allreduce_forward to DTensors 2024-08-20T21:40:32.8736354Z 2024-08-20T21:40:32.8736828Z NOTE: This API is currently experimental and subject to change 2024-08-20T21:40:32.8736984Z 2024-08-20T21:40:32.8737701Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8737875Z 2024-08-20T21:40:32.8738075Z warnings.warn(msg) 2024-08-20T21:40:32.8738227Z 2024-08-20T21:40:32.8738608Z --- Parse Warning: 26 / 101 --- 2024-08-20T21:40:32.8741625Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_sharding in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_tensor/experimental/register_sharding.py line=25. 2024-08-20T21:40:32.8742380Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8742658Z 2024-08-20T21:40:32.8743282Z ``register_sharding`` is an experimental API that allows users to register sharding 2024-08-20T21:40:32.8743956Z strategies for an operator when the tensor inputs and outputs are :class:`DTensor`s. 2024-08-20T21:40:32.8744765Z It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``, 2024-08-20T21:40:32.8745384Z e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2) 2024-08-20T21:40:32.8746079Z when users would like to overwrite default sharding strategies of existing operators. 2024-08-20T21:40:32.8746235Z 2024-08-20T21:40:32.8746397Z Args: 2024-08-20T21:40:32.8746701Z op (Union[OpOverload, List[OpOverload]]): 2024-08-20T21:40:32.8747208Z An op or a list of ops to register the customized sharding function. 2024-08-20T21:40:32.8747432Z 2024-08-20T21:40:32.8747622Z Returns: 2024-08-20T21:40:32.8748285Z A function decorator which can be used to wrap a function that defines the sharding 2024-08-20T21:40:32.8748951Z strategy for the operator specified in ``op``. The defined sharding strategy will be 2024-08-20T21:40:32.8749640Z registered to DTensor and will override the default sharding strategy if DTensor has 2024-08-20T21:40:32.8750364Z already implemented the operator. The customized sharding function takes the same inputs 2024-08-20T21:40:32.8750999Z as the original op (except that if an arg is a :class:`torch.Tensor`, it will be 2024-08-20T21:40:32.8751818Z replaced by a tensor-like object that DTensor uses internally). The function should 2024-08-20T21:40:32.8752634Z return a sequence of 2-tuples, each specifying acceptable output placements and its 2024-08-20T21:40:32.8752899Z corresponding intput placements. 2024-08-20T21:40:32.8753054Z 2024-08-20T21:40:32.8753228Z Example: 2024-08-20T21:40:32.8753500Z >>> # xdoctest: +SKIP("distributed") 2024-08-20T21:40:32.8753796Z >>> @register_sharding(aten._softmax.default) 2024-08-20T21:40:32.8754148Z >>> def custom_softmax_sharding(x, dim, half_to_float): 2024-08-20T21:40:32.8754501Z >>> softmax_dim = dim if dim >= 0 else dim + x.ndim 2024-08-20T21:40:32.8754777Z >>> acceptable_shardings = [] 2024-08-20T21:40:32.8754953Z >>> 2024-08-20T21:40:32.8755366Z >>> all_replicate = ([Replicate()], [Replicate(), None, None]) 2024-08-20T21:40:32.8755686Z >>> acceptable_shardings.append(all_replicate) 2024-08-20T21:40:32.8755872Z >>> 2024-08-20T21:40:32.8756134Z >>> for sharding_dim in range(x.ndim): 2024-08-20T21:40:32.8756393Z >>> if sharding_dim != softmax_dim: 2024-08-20T21:40:32.8756620Z >>> all_sharded = ( 2024-08-20T21:40:32.8756869Z >>> [Shard(sharding_dim)], 2024-08-20T21:40:32.8757167Z >>> [Shard(sharding_dim), None, None], 2024-08-20T21:40:32.8757361Z >>> ) 2024-08-20T21:40:32.8757688Z >>> acceptable_shardings.append(all_sharded) 2024-08-20T21:40:32.8757851Z >>> 2024-08-20T21:40:32.8758109Z >>> return acceptable_shardings 2024-08-20T21:40:32.8758269Z 2024-08-20T21:40:32.8758988Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8759162Z 2024-08-20T21:40:32.8759357Z warnings.warn(msg) 2024-08-20T21:40:32.8759512Z 2024-08-20T21:40:32.8759894Z --- Parse Warning: 27 / 101 --- 2024-08-20T21:40:32.8762964Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=post_localSGD_hook in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72. 2024-08-20T21:40:32.8763732Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8763924Z 2024-08-20T21:40:32.8764223Z Run post-localSGD algorithm. 2024-08-20T21:40:32.8764388Z 2024-08-20T21:40:32.8765085Z This DDP communication hook is used for running post-localSGD algorithm, 2024-08-20T21:40:32.8765452Z by combining with a model averaging component (e.g., 2024-08-20T21:40:32.8766246Z :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`) 2024-08-20T21:40:32.8766489Z that runs after the optimizer step. 2024-08-20T21:40:32.8766647Z 2024-08-20T21:40:32.8766823Z Args: 2024-08-20T21:40:32.8767459Z state (PostLocalSGDState): State information to run post-localSGD. 2024-08-20T21:40:32.8768150Z Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD. 2024-08-20T21:40:32.8769443Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2024-08-20T21:40:32.8770070Z Note that since DDP comm hook only supports single process single device mode, 2024-08-20T21:40:32.8770436Z only exactly one tensor is stored in this bucket. 2024-08-20T21:40:32.8770589Z 2024-08-20T21:40:32.8770759Z Returns: 2024-08-20T21:40:32.8771361Z Future handler of the communication, which updates the gradients in place. 2024-08-20T21:40:32.8771521Z 2024-08-20T21:40:32.8771703Z Example:: 2024-08-20T21:40:32.8771929Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.8772506Z >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup, 2024-08-20T21:40:32.8772777Z start_localSGD_iter=10) 2024-08-20T21:40:32.8773193Z >>> ddp_model.register_comm_hook(state, post_localSGD_hook) 2024-08-20T21:40:32.8774035Z >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``. 2024-08-20T21:40:32.8774922Z >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module. 2024-08-20T21:40:32.8775082Z 2024-08-20T21:40:32.8775799Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8775965Z 2024-08-20T21:40:32.8776158Z warnings.warn(msg) 2024-08-20T21:40:32.8776355Z 2024-08-20T21:40:32.8776740Z --- Parse Warning: 28 / 101 --- 2024-08-20T21:40:32.8779700Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=powerSGD_hook in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342. 2024-08-20T21:40:32.8780560Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8780716Z 2024-08-20T21:40:32.8780981Z Implement PowerSGD algorithm. 2024-08-20T21:40:32.8781152Z 2024-08-20T21:40:32.8781689Z This DDP communication hook implements PowerSGD gradient compression 2024-08-20T21:40:32.8782238Z algorithm described in the `paper `_. 2024-08-20T21:40:32.8782833Z Once gradient tensors are aggregated across all workers, this hook applies 2024-08-20T21:40:32.8783070Z compression as follows: 2024-08-20T21:40:32.8783228Z 2024-08-20T21:40:32.8784565Z 1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups: 2024-08-20T21:40:32.8784723Z 2024-08-20T21:40:32.8785769Z 1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth. 2024-08-20T21:40:32.8785943Z 2024-08-20T21:40:32.8786975Z 1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases). 2024-08-20T21:40:32.8787143Z 2024-08-20T21:40:32.8787381Z 2. Handles uncompressed tensors: 2024-08-20T21:40:32.8787592Z 2024-08-20T21:40:32.8788855Z 2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression; 2024-08-20T21:40:32.8789010Z 2024-08-20T21:40:32.8789840Z 2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor. 2024-08-20T21:40:32.8790013Z 2024-08-20T21:40:32.8790575Z 3. Handles the tensors that should be compressed by PowerSGD compression: 2024-08-20T21:40:32.8790727Z 2024-08-20T21:40:32.8791502Z 3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M, 2024-08-20T21:40:32.8792295Z such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized; 2024-08-20T21:40:32.8792453Z 2024-08-20T21:40:32.8792822Z 3.2. Computes each P in Ps, which is equal to MQ; 2024-08-20T21:40:32.8792978Z 2024-08-20T21:40:32.8793282Z 3.3. Allreduces Ps as a batch; 2024-08-20T21:40:32.8793459Z 2024-08-20T21:40:32.8793706Z 3.4. Orthogonalizes each P in Ps; 2024-08-20T21:40:32.8793856Z 2024-08-20T21:40:32.8794356Z 3.5. Computes each Q in Qs, which is approximately equal to M^TP; 2024-08-20T21:40:32.8794509Z 2024-08-20T21:40:32.8794751Z 3.6. Allreduces Qs as a batch; 2024-08-20T21:40:32.8794907Z 2024-08-20T21:40:32.8795656Z 3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T. 2024-08-20T21:40:32.8795874Z 2024-08-20T21:40:32.8796878Z Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations. 2024-08-20T21:40:32.8797591Z This not only gives the user more control over the tradeoff between speedup and accuracy, 2024-08-20T21:40:32.8798682Z but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers. 2024-08-20T21:40:32.8798840Z 2024-08-20T21:40:32.8799001Z Args: 2024-08-20T21:40:32.8800053Z state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc. 2024-08-20T21:40:32.8800937Z To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter`` 2024-08-20T21:40:32.8801245Z and ``min_compression_rate``. 2024-08-20T21:40:32.8802485Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2024-08-20T21:40:32.8803109Z Note that since DDP comm hook only supports single process single device mode, 2024-08-20T21:40:32.8803472Z only exactly one tensor is stored in this bucket. 2024-08-20T21:40:32.8803626Z 2024-08-20T21:40:32.8803791Z Returns: 2024-08-20T21:40:32.8804390Z Future handler of the communication, which updates the gradients in place. 2024-08-20T21:40:32.8804545Z 2024-08-20T21:40:32.8804728Z Example:: 2024-08-20T21:40:32.8804944Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.8805570Z >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1, 2024-08-20T21:40:32.8805951Z start_powerSGD_iter=10, min_compression_rate=0.5) 2024-08-20T21:40:32.8806329Z >>> ddp_model.register_comm_hook(state, powerSGD_hook) 2024-08-20T21:40:32.8806484Z 2024-08-20T21:40:32.8807219Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8807386Z 2024-08-20T21:40:32.8807580Z warnings.warn(msg) 2024-08-20T21:40:32.8807750Z 2024-08-20T21:40:32.8808114Z --- Parse Warning: 29 / 101 --- 2024-08-20T21:40:32.8811179Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PeriodicModelAverager in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=36. 2024-08-20T21:40:32.8811983Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8812138Z 2024-08-20T21:40:32.8812669Z Averages parameters periodically after the warm-up stage. 2024-08-20T21:40:32.8812838Z 2024-08-20T21:40:32.8813621Z This can be used for running `post-local SGD `_, 2024-08-20T21:40:32.8814088Z by running :class:`~torch.nn.DistributedDataParallel` (DDP) 2024-08-20T21:40:32.8814644Z using the subgroups created by :meth:`~torch.distributed.new_subgroups`. 2024-08-20T21:40:32.8814800Z 2024-08-20T21:40:32.8814979Z Args: 2024-08-20T21:40:32.8815359Z period (int): The number of steps per model averaging. 2024-08-20T21:40:32.8816023Z Usually the period should be greater than ``1`` to reduce the communication cost. 2024-08-20T21:40:32.8816338Z Otherwise, only DDP needs to be used. 2024-08-20T21:40:32.8817030Z warmup_steps (int): The number of warm-up steps. During this stage, 2024-08-20T21:40:32.8817306Z model averaging is skipped. 2024-08-20T21:40:32.8817883Z process_group: The process group to be used for all-reduce. 2024-08-20T21:40:32.8818222Z If ``None``, the default process group, which 2024-08-20T21:40:32.8818676Z is created by :func:`torch.distributed.init_process_group`, 2024-08-20T21:40:32.8818968Z will be used. (default: ``None``) 2024-08-20T21:40:32.8819124Z 2024-08-20T21:40:32.8819317Z Example:: 2024-08-20T21:40:32.8819472Z 2024-08-20T21:40:32.8819761Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:32.8819962Z >>> import torch 2024-08-20T21:40:32.8820222Z >>> import torch.distributed as dist 2024-08-20T21:40:32.8821044Z >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD 2024-08-20T21:40:32.8821708Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2024-08-20T21:40:32.8821922Z >>> import torch.nn as nn 2024-08-20T21:40:32.8822090Z >>> 2024-08-20T21:40:32.8822512Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2024-08-20T21:40:32.8822739Z >>> torch.cuda.set_device(rank) 2024-08-20T21:40:32.8823102Z >>> module = nn.Linear(1, 1, bias=False).cuda() 2024-08-20T21:40:32.8823475Z >>> model = nn.parallel.DistributedDataParallel( 2024-08-20T21:40:32.8823793Z >>> module, device_ids=[rank], output_device=rank 2024-08-20T21:40:32.8823959Z >>> ) 2024-08-20T21:40:32.8824430Z >>> # Register a post-localSGD communication hook. 2024-08-20T21:40:32.8825119Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2024-08-20T21:40:32.8825502Z >>> model.register_comm_hook(state, post_localSGD_hook) 2024-08-20T21:40:32.8825825Z >>> 2024-08-20T21:40:32.8826505Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2024-08-20T21:40:32.8826893Z >>> # After 100 steps, run model averaging every 4 steps. 2024-08-20T21:40:32.8827691Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2024-08-20T21:40:32.8828272Z >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2024-08-20T21:40:32.8828512Z >>> for step in range(0, 200): 2024-08-20T21:40:32.8828732Z >>> optimizer.zero_grad() 2024-08-20T21:40:32.8828981Z >>> loss = loss_fn(output, labels) 2024-08-20T21:40:32.8829193Z >>> loss.backward() 2024-08-20T21:40:32.8829400Z >>> optimizer.step() 2024-08-20T21:40:32.8829868Z >>> # Will average model parameters globally every 4 steps. Thus, 2024-08-20T21:40:32.8830495Z >>> # inter-node communication only occurs every 4 iterations after 2024-08-20T21:40:32.8830776Z >>> # the initial ``warmup_steps`` period. 2024-08-20T21:40:32.8831250Z >>> averager.average_parameters(model.parameters()) 2024-08-20T21:40:32.8831407Z 2024-08-20T21:40:32.8832128Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8832307Z 2024-08-20T21:40:32.8832499Z warnings.warn(msg) 2024-08-20T21:40:32.8832654Z 2024-08-20T21:40:32.8833035Z --- Parse Warning: 30 / 101 --- 2024-08-20T21:40:32.8836372Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=HierarchicalModelAverager in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=18. 2024-08-20T21:40:32.8837133Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8837289Z 2024-08-20T21:40:32.8838155Z Runs hierarchical model averaging (`hierarchical SGD `_). 2024-08-20T21:40:32.8838336Z 2024-08-20T21:40:32.8839086Z Process groups of different sizes are organized in a hierarchy, and they average parameters 2024-08-20T21:40:32.8839695Z by using different periods concurrently after the warm-up stage. 2024-08-20T21:40:32.8840733Z This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager` 2024-08-20T21:40:32.8841716Z that supports `post-local SGD `_, which essentially only supports 2024-08-20T21:40:32.8842631Z a two-level hierarchy: the intra-machine level and the global level, where the intra-machine 2024-08-20T21:40:32.8843509Z level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`. 2024-08-20T21:40:32.8844386Z Similarly, the process groups within this class do not have such an intra-machine process 2024-08-20T21:40:32.8845230Z subgroup, which should be embedded by the post-local SGD communication hook instead. 2024-08-20T21:40:32.8845390Z 2024-08-20T21:40:32.8845553Z Args: 2024-08-20T21:40:32.8846192Z period_group_size_dict: An ordered dict mapping keys of model averaging period to 2024-08-20T21:40:32.8846670Z process group size, used for initializing process groups of 2024-08-20T21:40:32.8847268Z different sizes in a hierarchy to average parameters concurrently. 2024-08-20T21:40:32.8847790Z Particularly, at each iteration, there will be at most a single 2024-08-20T21:40:32.8848520Z process group that runs averaging -- the period of such group should 2024-08-20T21:40:32.8849065Z have the largest period which the current step can be divided by. 2024-08-20T21:40:32.8849470Z For example, if the dict has three keys: 2, 4, and 8, 2024-08-20T21:40:32.8849979Z then this means totally three process groups will be created to 2024-08-20T21:40:32.8850497Z average parameters every 2, 4, and 8 iterations, respectively. 2024-08-20T21:40:32.8850969Z At the 4th iteration, only the second process group will run 2024-08-20T21:40:32.8851398Z averaging, because the first process group should be a 2024-08-20T21:40:32.8851963Z subset of the second process group, and no need to execute the first 2024-08-20T21:40:32.8852246Z process group redundantly. 2024-08-20T21:40:32.8852768Z On the other hand, the third process group can only be triggered 2024-08-20T21:40:32.8853324Z every 8 iterations, so it will not be triggered at the 4th iteration. 2024-08-20T21:40:32.8854252Z warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped. 2024-08-20T21:40:32.8855349Z process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging. 2024-08-20T21:40:32.8855787Z If ``None``, the default process group, which is created 2024-08-20T21:40:32.8856310Z by :func:`torch.distributed.init_process_group`, will be used. 2024-08-20T21:40:32.8856608Z (default: ``None``) 2024-08-20T21:40:32.8856766Z 2024-08-20T21:40:32.8856962Z Example:: 2024-08-20T21:40:32.8857331Z >>> # xdoctest: +SKIP('undefined rank') 2024-08-20T21:40:32.8857601Z >>> from collections import OrderedDict 2024-08-20T21:40:32.8857801Z >>> import torch 2024-08-20T21:40:32.8858060Z >>> import torch.distributed as dist 2024-08-20T21:40:32.8858768Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2024-08-20T21:40:32.8859007Z >>> PostLocalSGDState, 2024-08-20T21:40:32.8859216Z >>> post_localSGD_hook, 2024-08-20T21:40:32.8859377Z >>> ) 2024-08-20T21:40:32.8860265Z >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD 2024-08-20T21:40:32.8860560Z >>> import torch.nn as nn 2024-08-20T21:40:32.8860727Z >>> 2024-08-20T21:40:32.8861140Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2024-08-20T21:40:32.8861368Z >>> torch.cuda.set_device(rank) 2024-08-20T21:40:32.8861674Z >>> module = nn.Linear(1, 1, bias=False).to(rank) 2024-08-20T21:40:32.8862040Z >>> model = nn.parallel.DistributedDataParallel( 2024-08-20T21:40:32.8862363Z >>> module, device_ids=[rank], output_device=rank 2024-08-20T21:40:32.8862543Z >>> ) 2024-08-20T21:40:32.8862992Z >>> # Register a post-localSGD communication hook. 2024-08-20T21:40:32.8863854Z >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4. 2024-08-20T21:40:32.8864133Z >>> subgroup, _ = dist.new_subgroups() 2024-08-20T21:40:32.8864849Z >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100) 2024-08-20T21:40:32.8865260Z >>> model.register_comm_hook(state, post_localSGD_hook) 2024-08-20T21:40:32.8865437Z >>> 2024-08-20T21:40:32.8866126Z >>> # Average parameters among each group of 8 processes every 4 iterations, and among all 2024-08-20T21:40:32.8866402Z >>> # the 16 processes every 16 iterations. 2024-08-20T21:40:32.8866862Z >>> averager = hierarchicalSGD.HierarchicalModelAverager( 2024-08-20T21:40:32.8867400Z >>> period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100) 2024-08-20T21:40:32.8868221Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2024-08-20T21:40:32.8868899Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2024-08-20T21:40:32.8869263Z >>> # After 100 steps, run model averaging at two levels. 2024-08-20T21:40:32.8869504Z >>> for step in range(0, 200): 2024-08-20T21:40:32.8869730Z >>> optimizer.zero_grad() 2024-08-20T21:40:32.8869975Z >>> loss = loss_fn(output, labels) 2024-08-20T21:40:32.8870189Z >>> loss.backward() 2024-08-20T21:40:32.8870398Z >>> optimizer.step() 2024-08-20T21:40:32.8870749Z >>> # Average parameters after ``optimizer.step()``. 2024-08-20T21:40:32.8871621Z >>> # Thus, the inter-node communication only occurs periodically after ``warmup_steps``. 2024-08-20T21:40:32.8871982Z >>> averager.average_parameters(model.parameters()) 2024-08-20T21:40:32.8872154Z 2024-08-20T21:40:32.8872335Z .. warning :: 2024-08-20T21:40:32.8873001Z The last group size in the dict must be the size of the provided ``process_group``, 2024-08-20T21:40:32.8873601Z which indicates model averaging at the highest level of the hierarchy. 2024-08-20T21:40:32.8874359Z If ``process_group`` is not provided, then the last group size should be equal to the world size. 2024-08-20T21:40:32.8874517Z 2024-08-20T21:40:32.8874711Z .. warning :: 2024-08-20T21:40:32.8875231Z `HierarchicalModelAverager` is experimental and subject to change. 2024-08-20T21:40:32.8875383Z 2024-08-20T21:40:32.8876119Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8876284Z 2024-08-20T21:40:32.8876479Z warnings.warn(msg) 2024-08-20T21:40:32.8876648Z 2024-08-20T21:40:32.8877012Z --- Parse Warning: 31 / 101 --- 2024-08-20T21:40:32.8880056Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=40. 2024-08-20T21:40:32.8880807Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8880966Z 2024-08-20T21:40:32.8881693Z StorageReader for reading a Torch Save file. This reader will read the entire checkpoint 2024-08-20T21:40:32.8882307Z on the coordinator rank, and then broadcast and shard each tensor to all ranks. 2024-08-20T21:40:32.8882461Z 2024-08-20T21:40:32.8882851Z . N.B. Intended to be used with DynamicMetaLoadPlanner 2024-08-20T21:40:32.8883004Z 2024-08-20T21:40:32.8883177Z .. warning:: 2024-08-20T21:40:32.8883576Z Current implementation only supports loading Tensors. 2024-08-20T21:40:32.8883730Z 2024-08-20T21:40:32.8883978Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:32.8884185Z >>> sd = {"mode": model} 2024-08-20T21:40:32.8884358Z >>> dcp.load( 2024-08-20T21:40:32.8884533Z >>> sd, 2024-08-20T21:40:32.8884901Z >>> storage_reader=BroadcastingTorchSaveReader(), 2024-08-20T21:40:32.8885232Z >>> planner=DynamicMetaLoadPlanner(), 2024-08-20T21:40:32.8885494Z >>> checkpoint_id="path_to_model.pt" 2024-08-20T21:40:32.8885657Z >>> ) 2024-08-20T21:40:32.8885809Z 2024-08-20T21:40:32.8886580Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8886736Z 2024-08-20T21:40:32.8886933Z warnings.warn(msg) 2024-08-20T21:40:32.8887101Z 2024-08-20T21:40:32.8887465Z --- Parse Warning: 32 / 101 --- 2024-08-20T21:40:32.8890365Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=151. 2024-08-20T21:40:32.8891132Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8891291Z 2024-08-20T21:40:32.8892158Z Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict, 2024-08-20T21:40:32.8893129Z avoiding the need to read metadata from disk. This is useful when reading formats which don't have a 2024-08-20T21:40:32.8893276Z metadata file, like Torch Save files. 2024-08-20T21:40:32.8893379Z 2024-08-20T21:40:32.8893625Z . N.B. Intended to be used with BroadcastingTorchSaveReader 2024-08-20T21:40:32.8893713Z 2024-08-20T21:40:32.8893829Z .. warning:: 2024-08-20T21:40:32.8894050Z Current implementation only supports loading Tensors. 2024-08-20T21:40:32.8894136Z 2024-08-20T21:40:32.8894293Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:32.8894405Z >>> sd = {"mode": model} 2024-08-20T21:40:32.8894507Z >>> dcp.load( 2024-08-20T21:40:32.8894615Z >>> sd, 2024-08-20T21:40:32.8894817Z >>> storage_reader=BroadcastingTorchSaveReader(), 2024-08-20T21:40:32.8895015Z >>> planner=DynamicMetaLoadPlanner(), 2024-08-20T21:40:32.8895169Z >>> checkpoint_id="path_to_model.pt" 2024-08-20T21:40:32.8895265Z >>> ) 2024-08-20T21:40:32.8895354Z 2024-08-20T21:40:32.8895777Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8895868Z 2024-08-20T21:40:32.8895979Z warnings.warn(msg) 2024-08-20T21:40:32.8896082Z 2024-08-20T21:40:32.8896292Z --- Parse Warning: 33 / 101 --- 2024-08-20T21:40:32.8897922Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/optimizer.py line=220. 2024-08-20T21:40:32.8898338Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8898428Z 2024-08-20T21:40:32.8898796Z Load a state_dict in conjunction with FSDP sharded optimizer state. 2024-08-20T21:40:32.8898888Z 2024-08-20T21:40:32.8899112Z This is the current recommended way to checkpoint FSDP. 2024-08-20T21:40:32.8899242Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.8899443Z >>> import torch.distributed.checkpoint as dist_cp 2024-08-20T21:40:32.8899542Z >>> # Save 2024-08-20T21:40:32.8899672Z >>> model: torch.nn.Model 2024-08-20T21:40:32.8899818Z >>> optim_params = model.parameters() 2024-08-20T21:40:32.8900004Z >>> optim = torch.optim.SGD(optim_params, lr=0.01) 2024-08-20T21:40:32.8900112Z >>> # Save 2024-08-20T21:40:32.8900405Z >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT): 2024-08-20T21:40:32.8900616Z >>> state_dict = { 2024-08-20T21:40:32.8900902Z >>> "optimizer": FSDP.optim_state_dict(model, optim), 2024-08-20T21:40:32.8901076Z >>> "model": model.state_dict() 2024-08-20T21:40:32.8901186Z >>> } 2024-08-20T21:40:32.8901316Z >>> dist_cp.save_state_dict( 2024-08-20T21:40:32.8901443Z >>> state_dict=optim_state, 2024-08-20T21:40:32.8901688Z >>> storage_writer=dist_cp.FileSystemWriter("checkpoint"), 2024-08-20T21:40:32.8901861Z >>> planner=dist_cp.DefaultSavePlanner(), 2024-08-20T21:40:32.8901956Z >>> ) 2024-08-20T21:40:32.8902097Z >>> 2024-08-20T21:40:32.8902193Z >>> # Load 2024-08-20T21:40:32.8902498Z >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT): 2024-08-20T21:40:32.8902679Z >>> model_state_dict = model_tp.state_dict() 2024-08-20T21:40:32.8902791Z >>> checkpoint = { 2024-08-20T21:40:32.8902923Z >>> "model": model_state_dict 2024-08-20T21:40:32.8903032Z >>> } 2024-08-20T21:40:32.8903152Z >>> dist_cp.load_state_dict( 2024-08-20T21:40:32.8903277Z >>> state_dict=checkpoint, 2024-08-20T21:40:32.8903534Z >>> storage_reader=dist_cp.FileSystemReader(checkpoint_file), 2024-08-20T21:40:32.8903709Z >>> planner=dist_cp.DefaultLoadPlanner(), 2024-08-20T21:40:32.8903817Z >>> ) 2024-08-20T21:40:32.8904014Z >>> model.load_state_dict(checkpoint["model_state"]) 2024-08-20T21:40:32.8904106Z >>> 2024-08-20T21:40:32.8904362Z >>> optim_state = dist_cp.load_sharded_optimizer_state_dict( 2024-08-20T21:40:32.8904478Z >>> model_state_dict, 2024-08-20T21:40:32.8904614Z >>> optimizer_key="optimizer", 2024-08-20T21:40:32.8904858Z >>> storage_reader=dist_cp.FileSystemReader("checkpoint"), 2024-08-20T21:40:32.8904951Z >>> ) 2024-08-20T21:40:32.8905042Z >>> 2024-08-20T21:40:32.8905243Z >>> flattened_osd = FSDP.optim_state_dict_to_load( 2024-08-20T21:40:32.8905408Z >>> model, optim, optim_state["optimizer"] 2024-08-20T21:40:32.8905503Z >>> ) 2024-08-20T21:40:32.8905606Z >>> 2024-08-20T21:40:32.8905758Z >>> optim.load_state_dict(flattened_osd) 2024-08-20T21:40:32.8905847Z 2024-08-20T21:40:32.8906275Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8906395Z 2024-08-20T21:40:32.8906506Z warnings.warn(msg) 2024-08-20T21:40:32.8906609Z 2024-08-20T21:40:32.8906825Z --- Parse Warning: 34 / 101 --- 2024-08-20T21:40:32.8908331Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=110. 2024-08-20T21:40:32.8908750Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8908839Z 2024-08-20T21:40:32.8909236Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2024-08-20T21:40:32.8909327Z 2024-08-20T21:40:32.8909727Z SavePlanners are stateful objects that can be used to customize the whole save process. 2024-08-20T21:40:32.8909828Z 2024-08-20T21:40:32.8910272Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2024-08-20T21:40:32.8910419Z will be visible to the whole process. 2024-08-20T21:40:32.8910523Z 2024-08-20T21:40:32.8910904Z A planner subclass can expect the following sequence of calls during save_state_dict: 2024-08-20T21:40:32.8910997Z 2024-08-20T21:40:32.8911217Z 1) set_up_planner - called on all ranks. 2024-08-20T21:40:32.8911380Z Signals the start of a checkpoint save. 2024-08-20T21:40:32.8911481Z 2024-08-20T21:40:32.8911692Z 2) create_local_plan - called on all ranks. 2024-08-20T21:40:32.8912089Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2024-08-20T21:40:32.8912194Z 2024-08-20T21:40:32.8912501Z 3) create_global_plan - called on the coordinator rank only. 2024-08-20T21:40:32.8912766Z Takes the SavePlan from all ranks and make any global decision. 2024-08-20T21:40:32.8912877Z 2024-08-20T21:40:32.8913066Z 4) finish_plan - called on all ranks. 2024-08-20T21:40:32.8913367Z This gives each rank a chance to adjust to global planning decisions. 2024-08-20T21:40:32.8913473Z 2024-08-20T21:40:32.8913731Z 5) resolve_data - called multiple times on each rank 2024-08-20T21:40:32.8914017Z Lookups a value on the `state_dict` for the storage layer to write. 2024-08-20T21:40:32.8914150Z 2024-08-20T21:40:32.8914561Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2024-08-20T21:40:32.8914825Z most changes can be expressed by changes in a single method. 2024-08-20T21:40:32.8914912Z 2024-08-20T21:40:32.8915072Z There are 3 usual patterns of extension: 2024-08-20T21:40:32.8915174Z 2024-08-20T21:40:32.8915516Z Rewriting state_dict. This is the simplest way to extend the save process as it 2024-08-20T21:40:32.8915888Z doesn't requite understanding the intrincacies of how SavePlan works: 2024-08-20T21:40:32.8915996Z 2024-08-20T21:40:32.8916146Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:32.8916322Z >>> class RenamePlanner(DefaultSavePlanner): 2024-08-20T21:40:32.8916455Z >>> def set_up_planner( 2024-08-20T21:40:32.8916556Z >>> self, 2024-08-20T21:40:32.8916697Z >>> state_dict: STATE_DICT_TYPE, 2024-08-20T21:40:32.8916880Z >>> storage_meta: Optional[StorageMeta], 2024-08-20T21:40:32.8917009Z >>> is_coordinator: bool, 2024-08-20T21:40:32.8917145Z >>> ) -> None: 2024-08-20T21:40:32.8917311Z >>> # prefix all keys with `foo_`` 2024-08-20T21:40:32.8917737Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2024-08-20T21:40:32.8917826Z 2024-08-20T21:40:32.8918306Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2024-08-20T21:40:32.8918396Z 2024-08-20T21:40:32.8918559Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:32.8918751Z >>> class FP16Planner(DefaultSavePlanner): 2024-08-20T21:40:32.8918883Z >>> def create_local_plan(self): 2024-08-20T21:40:32.8919053Z >>> plan = super().create_local_plan() 2024-08-20T21:40:32.8919167Z >>> for p in plan: 2024-08-20T21:40:32.8919322Z >>> if p.tensor_data is not None: 2024-08-20T21:40:32.8919553Z >>> p.tensor_data.properties.dtype = torch.float16 2024-08-20T21:40:32.8919663Z >>> return plan 2024-08-20T21:40:32.8919758Z >>> 2024-08-20T21:40:32.8919927Z >>> def resolve_data(self, write_item): 2024-08-20T21:40:32.8920092Z >>> item = super().resolve_data(write_item) 2024-08-20T21:40:32.8920479Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2024-08-20T21:40:32.8920583Z 2024-08-20T21:40:32.8921209Z Using the global planning step to make central decisions that can't be made individually by each rank 2024-08-20T21:40:32.8921315Z 2024-08-20T21:40:32.8921458Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:32.8921590Z >>> from itertools import islice 2024-08-20T21:40:32.8921741Z >>> from dataclasses import replace 2024-08-20T21:40:32.8921965Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2024-08-20T21:40:32.8922448Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2024-08-20T21:40:32.8922702Z >>> # This sample doesn't handle ShardedTensors 2024-08-20T21:40:32.8922872Z >>> def create_global_plan(self, all_plans): 2024-08-20T21:40:32.8923003Z >>> def chunk(it, size): 2024-08-20T21:40:32.8923130Z >>> it = iter(it) 2024-08-20T21:40:32.8923352Z >>> return list(iter(lambda: tuple(islice(it, size)), ())) 2024-08-20T21:40:32.8923461Z >>> all_plans = [ 2024-08-20T21:40:32.8923673Z >>> replace(plan, items=items) for plan, items in 2024-08-20T21:40:32.8923917Z >>> zip(all_plans, chunk(all_plans[0].items, len(all_plans))) 2024-08-20T21:40:32.8924018Z >>> ] 2024-08-20T21:40:32.8924216Z >>> return super().create_global_plan(all_plans) 2024-08-20T21:40:32.8924304Z 2024-08-20T21:40:32.8924681Z Finally, some planners need to save additional metadata in the checkpoint, this is 2024-08-20T21:40:32.8925077Z accomplished by having each rank contribute their data items in the local plan and 2024-08-20T21:40:32.8925215Z the global planner aggregate them: 2024-08-20T21:40:32.8925350Z 2024-08-20T21:40:32.8925493Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:32.8925907Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2024-08-20T21:40:32.8926172Z >>> def create_local_plan(self) -> SavePlan: 2024-08-20T21:40:32.8926325Z >>> plan = super().create_local_plan() 2024-08-20T21:40:32.8926611Z >>> return replace(plan, planner_data="per-rank-data") 2024-08-20T21:40:32.8926723Z >>> 2024-08-20T21:40:32.8927225Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2024-08-20T21:40:32.8927481Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2024-08-20T21:40:32.8927710Z >>> merged_data = [p.planner_data for p in global_plan] 2024-08-20T21:40:32.8927937Z >>> metadata = replace(metadata, planner_data=merged_data) 2024-08-20T21:40:32.8928095Z >>> return global_plan, metadata 2024-08-20T21:40:32.8928186Z 2024-08-20T21:40:32.8928587Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8928687Z 2024-08-20T21:40:32.8928799Z warnings.warn(msg) 2024-08-20T21:40:32.8928886Z 2024-08-20T21:40:32.8929116Z --- Parse Warning: 35 / 101 --- 2024-08-20T21:40:32.8930607Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=270. 2024-08-20T21:40:32.8931115Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8931216Z 2024-08-20T21:40:32.8931600Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2024-08-20T21:40:32.8931708Z 2024-08-20T21:40:32.8932096Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2024-08-20T21:40:32.8932184Z 2024-08-20T21:40:32.8932592Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2024-08-20T21:40:32.8932737Z will be visible to the whole process. 2024-08-20T21:40:32.8932825Z 2024-08-20T21:40:32.8933218Z A planner subclass can expect the following sequence of calls during load_state_dict: 2024-08-20T21:40:32.8933309Z 2024-08-20T21:40:32.8933583Z 1) set_up_planner - called on all ranks. 2024-08-20T21:40:32.8933772Z Signals the start of loading a checkpoint. 2024-08-20T21:40:32.8933859Z 2024-08-20T21:40:32.8934073Z 2) create_local_plan - called on all ranks. 2024-08-20T21:40:32.8934483Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2024-08-20T21:40:32.8934576Z 2024-08-20T21:40:32.8934879Z 3) create_global_plan - called on the coordinator rank only. 2024-08-20T21:40:32.8935158Z Takes the LoadPlan from all ranks and make any global decision. 2024-08-20T21:40:32.8935246Z 2024-08-20T21:40:32.8935505Z 4) load_bytes - called multiple times on each rank 2024-08-20T21:40:32.8935791Z This is called once per non-tensor value in state_dict. 2024-08-20T21:40:32.8935898Z 2024-08-20T21:40:32.8936280Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2024-08-20T21:40:32.8936538Z They are called in pair for each Tensor value in state_dict. 2024-08-20T21:40:32.8936629Z 2024-08-20T21:40:32.8937051Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2024-08-20T21:40:32.8937297Z most changes can be expressed by changes in a single method. 2024-08-20T21:40:32.8937389Z 2024-08-20T21:40:32.8937567Z There are two usual patterns of extension: 2024-08-20T21:40:32.8937707Z 2024-08-20T21:40:32.8938050Z Rewriting state_dict. This is the simplest way to extend the load process as it 2024-08-20T21:40:32.8938478Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2024-08-20T21:40:32.8938794Z to keep a reference to the original state_dict as load happens in place so 2024-08-20T21:40:32.8938973Z we need to be able to perform it in place 2024-08-20T21:40:32.8939063Z 2024-08-20T21:40:32.8939207Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:32.8939391Z >>> class RenamePlanner(DefaultLoadPlanner): 2024-08-20T21:40:32.8939511Z >>> def set_up_planner( 2024-08-20T21:40:32.8939613Z >>> self, 2024-08-20T21:40:32.8939773Z >>> state_dict: STATE_DICT_TYPE, 2024-08-20T21:40:32.8939890Z >>> metadata: Metadata, 2024-08-20T21:40:32.8940015Z >>> is_coordinator: bool, 2024-08-20T21:40:32.8940165Z >>> ) -> None: 2024-08-20T21:40:32.8940331Z >>> self.original_state_dict = state_dict 2024-08-20T21:40:32.8940651Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2024-08-20T21:40:32.8940760Z >>> 2024-08-20T21:40:32.8940993Z >>> if self.flatten_sharded_tensors: 2024-08-20T21:40:32.8941201Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2024-08-20T21:40:32.8941307Z >>> 2024-08-20T21:40:32.8941446Z >>> if self.flatten_state_dict: 2024-08-20T21:40:32.8941693Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2024-08-20T21:40:32.8941802Z >>> 2024-08-20T21:40:32.8941947Z >>> self.state_dict = state_dict 2024-08-20T21:40:32.8942128Z >>> self.metadata = metadata 2024-08-20T21:40:32.8942291Z >>> self.is_coordinator = is_coordinator 2024-08-20T21:40:32.8942387Z >>> 2024-08-20T21:40:32.8942558Z >>> def load_bytes(self, read_item, value): 2024-08-20T21:40:32.8942695Z >>> # Remove the "foo_" prefix 2024-08-20T21:40:32.8943125Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2024-08-20T21:40:32.8943228Z 2024-08-20T21:40:32.8943315Z 2024-08-20T21:40:32.8943652Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2024-08-20T21:40:32.8943754Z 2024-08-20T21:40:32.8943897Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:32.8944099Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2024-08-20T21:40:32.8944265Z >>> def resolve_tensor(self, read_item): 2024-08-20T21:40:32.8944531Z >>> tensor = super().resolve_tensor(read_item) 2024-08-20T21:40:32.8944723Z >>> return torch.empty_like(tensor, device="cpu") 2024-08-20T21:40:32.8944831Z >>> 2024-08-20T21:40:32.8945003Z >>> def commit_tensor(self, read_item, tensor): 2024-08-20T21:40:32.8945221Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2024-08-20T21:40:32.8945312Z 2024-08-20T21:40:32.8945729Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8945830Z 2024-08-20T21:40:32.8945942Z warnings.warn(msg) 2024-08-20T21:40:32.8946031Z 2024-08-20T21:40:32.8946259Z --- Parse Warning: 36 / 101 --- 2024-08-20T21:40:32.8947764Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=61. 2024-08-20T21:40:32.8948186Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8948290Z 2024-08-20T21:40:32.8948478Z Load a distributed ``state_dict`` in SPMD style. 2024-08-20T21:40:32.8948565Z 2024-08-20T21:40:32.8948849Z Each rank will try to read the least amount of data necessary 2024-08-20T21:40:32.8949168Z to fullfill the requested `state_dict`. When loading :class:`ShardedTensor` 2024-08-20T21:40:32.8949548Z or :class:`DTensor` instances, each rank only reads data for their local shards. 2024-08-20T21:40:32.8949636Z 2024-08-20T21:40:32.8949995Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2024-08-20T21:40:32.8950362Z load will first call ``state_dict`` before attempting deserialization, followed by 2024-08-20T21:40:32.8950578Z ``load_state_dict`` once the deserialization is complete. 2024-08-20T21:40:32.8950665Z 2024-08-20T21:40:32.8950788Z .. warning:: 2024-08-20T21:40:32.8951017Z All tensors in ``state_dict`` must be allocated on their 2024-08-20T21:40:32.8951230Z destination device *prior to* calling this function. 2024-08-20T21:40:32.8951332Z 2024-08-20T21:40:32.8951725Z All non-tensor data is loaded using `torch.load()` and modified in place 2024-08-20T21:40:32.8951829Z on state_dict. 2024-08-20T21:40:32.8951934Z 2024-08-20T21:40:32.8952036Z .. warning:: 2024-08-20T21:40:32.8952315Z Users must call `load_state_dict` on the root module to ensure load 2024-08-20T21:40:32.8952630Z pos-processing and non-tensor data properly propagates. 2024-08-20T21:40:32.8952752Z 2024-08-20T21:40:32.8952862Z .. note: 2024-08-20T21:40:32.8953178Z If no process group is initialized, this function will assume the intent 2024-08-20T21:40:32.8953495Z is to load a checkpoint into the local process. This can be useful in the 2024-08-20T21:40:32.8953855Z case of local inference, and when using regular Tensors (as opposed to DTensor 2024-08-20T21:40:32.8953975Z or ShardedTensor) 2024-08-20T21:40:32.8954103Z 2024-08-20T21:40:32.8954212Z .. note: 2024-08-20T21:40:32.8954394Z Rank 0 is assumed to be the coordinator rank. 2024-08-20T21:40:32.8954484Z 2024-08-20T21:40:32.8954596Z Args: 2024-08-20T21:40:32.8954798Z state_dict (Dict[str, Any]): The state_dict to save. 2024-08-20T21:40:32.8954984Z checkpoint_id (Union[str, os.PathLike, None]): 2024-08-20T21:40:32.8955293Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2024-08-20T21:40:32.8955582Z depends on the storage. It can be a path to a folder or to a file. 2024-08-20T21:40:32.8955888Z It can also be a key if the storage is a key-value store. 2024-08-20T21:40:32.8956018Z (Default: ``None``) 2024-08-20T21:40:32.8956185Z storage_reader (Optional[StorageReader]): 2024-08-20T21:40:32.8956477Z Instance of StorageWriter used to perform reads. If this is not 2024-08-20T21:40:32.8956798Z specified, DCP will automatically infer the reader based on the 2024-08-20T21:40:32.8957065Z checkpoint_id. If checkpoint_id is also None, an exception will 2024-08-20T21:40:32.8957219Z be raised. (Default: ``None``) 2024-08-20T21:40:32.8957362Z planner (Optional[LoadPlanner]): 2024-08-20T21:40:32.8957635Z Instance of LoadPlanner. If this is not specificed, the default 2024-08-20T21:40:32.8957819Z planner will be used. (Default: ``None``) 2024-08-20T21:40:32.8957982Z process_group (Optional[ProcessGroup]): 2024-08-20T21:40:32.8958290Z ProcessGroup to be used for cross-rank synchronization. 2024-08-20T21:40:32.8958420Z (Default: ``None``) 2024-08-20T21:40:32.8958509Z 2024-08-20T21:40:32.8958604Z Returns: 2024-08-20T21:40:32.8958711Z None. 2024-08-20T21:40:32.8958799Z 2024-08-20T21:40:32.8958894Z Examples 2024-08-20T21:40:32.8959026Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.8959149Z >>> my_model = MyModule() 2024-08-20T21:40:32.8959347Z >>> optimizer = Adagrad(my_model.parameters()) 2024-08-20T21:40:32.8959513Z >>> model_state_dict = my_model.state_dict() 2024-08-20T21:40:32.8959917Z >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader("/checkpoint/1") 2024-08-20T21:40:32.8960052Z 2024-08-20T21:40:32.8960261Z >>> torch.distributed.checkpoint.load_state_dict( 2024-08-20T21:40:32.8960402Z >>> state_dict=model_state_dict, 2024-08-20T21:40:32.8960567Z >>> storage_reader=fs_storage_reader, 2024-08-20T21:40:32.8960661Z >>> ) 2024-08-20T21:40:32.8960750Z 2024-08-20T21:40:32.8961025Z >>> # module.load_state_dict() function might have customized steps 2024-08-20T21:40:32.8961196Z >>> # to flush the state_dict, must call it to 2024-08-20T21:40:32.8961328Z >>> # ensure correct behavior. 2024-08-20T21:40:32.8961515Z >>> my_model.load_state_dict(model_state_dict) 2024-08-20T21:40:32.8961605Z 2024-08-20T21:40:32.8961732Z .. note:: 2024-08-20T21:40:32.8962024Z load_state_dict uses collectives to coordinate reads across ranks. 2024-08-20T21:40:32.8962385Z For NCCL-based process groups, internal tensor representations of 2024-08-20T21:40:32.8962718Z objects must be moved to the GPU device before communication takes place. 2024-08-20T21:40:32.8963034Z In this case, the device used is given by ``torch.cuda.current_device()`` 2024-08-20T21:40:32.8963439Z and it is the user's responsibility to ensure that this is set so that each 2024-08-20T21:40:32.8963706Z rank has an individual GPU, via ``torch.cuda.set_device()``. 2024-08-20T21:40:32.8963797Z 2024-08-20T21:40:32.8964208Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8964312Z 2024-08-20T21:40:32.8964423Z warnings.warn(msg) 2024-08-20T21:40:32.8964511Z 2024-08-20T21:40:32.8964746Z --- Parse Warning: 37 / 101 --- 2024-08-20T21:40:32.8966274Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=save in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=67. 2024-08-20T21:40:32.8966713Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8966801Z 2024-08-20T21:40:32.8966952Z Save a distributed model in SPMD style. 2024-08-20T21:40:32.8967054Z 2024-08-20T21:40:32.8967307Z This function is different from ``torch.save()`` as it handles 2024-08-20T21:40:32.8967655Z ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards. 2024-08-20T21:40:32.8967762Z 2024-08-20T21:40:32.8968123Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2024-08-20T21:40:32.8968370Z save will call ``state_dict`` before serialization. 2024-08-20T21:40:32.8968474Z 2024-08-20T21:40:32.8968577Z .. warning:: 2024-08-20T21:40:32.8968904Z There is no guarantees of Backwards Compatibility across PyTorch versions 2024-08-20T21:40:32.8969037Z for saved state_dicts. 2024-08-20T21:40:32.8969125Z 2024-08-20T21:40:32.8969224Z .. warning:: 2024-08-20T21:40:32.8969531Z If using the `process_group` argument, make sure that only its ranks 2024-08-20T21:40:32.8969813Z call `save_state_dict` and that all data in state_dict belong to it. 2024-08-20T21:40:32.8969916Z 2024-08-20T21:40:32.8970014Z .. note:: 2024-08-20T21:40:32.8970456Z When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of 2024-08-20T21:40:32.8970827Z the shard_group should be calling `save_state_dict` and the corresponding process 2024-08-20T21:40:32.8970955Z group needs to be passed in. 2024-08-20T21:40:32.8971044Z 2024-08-20T21:40:32.8971154Z .. note:: 2024-08-20T21:40:32.8971535Z If no process group is available, this function assumes the intention is to save the 2024-08-20T21:40:32.8971675Z state_dict in the local process. 2024-08-20T21:40:32.8971776Z 2024-08-20T21:40:32.8971885Z .. note: 2024-08-20T21:40:32.8972066Z Rank 0 is assumed to be the coordinator rank. 2024-08-20T21:40:32.8972197Z 2024-08-20T21:40:32.8972285Z 2024-08-20T21:40:32.8972378Z Args: 2024-08-20T21:40:32.8972591Z state_dict (Dict[str, Any]): The state_dict to save. 2024-08-20T21:40:32.8972773Z checkpoint_id (Union[str, os.PathLike, None]): 2024-08-20T21:40:32.8973065Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2024-08-20T21:40:32.8973369Z depends on the storage. It can be a path to a folder or to a file. 2024-08-20T21:40:32.8973677Z It can also be a key if the storage is a key-value store. 2024-08-20T21:40:32.8973801Z (Default: ``None``) 2024-08-20T21:40:32.8973974Z storage_writer (Optional[StorageWriter]): 2024-08-20T21:40:32.8974257Z Instance of StorageWriter used to perform writes. If this is not 2024-08-20T21:40:32.8974542Z specified, DCP will automatically infer the writer based on the 2024-08-20T21:40:32.8974811Z checkpoint_id. If checkpoint_id is also None, an exception will 2024-08-20T21:40:32.8974950Z be raised. (Default: ``None``) 2024-08-20T21:40:32.8975104Z planner (Optional[SavePlanner]): 2024-08-20T21:40:32.8975378Z Instance of SavePlanner. If this is not specificed, the default 2024-08-20T21:40:32.8975548Z planner will be used. (Default: ``None``) 2024-08-20T21:40:32.8975726Z process_group (Optional[ProcessGroup]): 2024-08-20T21:40:32.8976031Z ProcessGroup to be used for cross-rank synchronization. 2024-08-20T21:40:32.8976157Z (Default: ``None``) 2024-08-20T21:40:32.8976245Z 2024-08-20T21:40:32.8976341Z Returns: 2024-08-20T21:40:32.8976564Z Metadata: Metadata object for the saved checkpoint. 2024-08-20T21:40:32.8976687Z 2024-08-20T21:40:32.8976784Z Example: 2024-08-20T21:40:32.8976911Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.8977029Z >>> my_model = MyModule() 2024-08-20T21:40:32.8977116Z 2024-08-20T21:40:32.8977269Z >>> state_dict = {"model": my_model} 2024-08-20T21:40:32.8977358Z 2024-08-20T21:40:32.8977763Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter("/checkpoint/1") 2024-08-20T21:40:32.8977951Z >>> torch.distributed.checkpoint.save( 2024-08-20T21:40:32.8978076Z >>> state_dict=state_dict, 2024-08-20T21:40:32.8978226Z >>> storage_writer=fs_storage_writer, 2024-08-20T21:40:32.8978332Z >>> ) 2024-08-20T21:40:32.8978419Z 2024-08-20T21:40:32.8978521Z .. note:: 2024-08-20T21:40:32.8978819Z save_state_dict uses collectives to coordinate writes across ranks. 2024-08-20T21:40:32.8979239Z For NCCL-based process groups, internal tensor representations of 2024-08-20T21:40:32.8979566Z objects must be moved to the GPU device before communication takes place. 2024-08-20T21:40:32.8979894Z In this case, the device used is given by ``torch.cuda.current_device()`` 2024-08-20T21:40:32.8980273Z and it is the user's responsibility to ensure that this is set so that 2024-08-20T21:40:32.8980678Z each rank has an individual GPU, via ``torch.cuda.set_device()``. 2024-08-20T21:40:32.8980771Z 2024-08-20T21:40:32.8981182Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8981287Z 2024-08-20T21:40:32.8981400Z warnings.warn(msg) 2024-08-20T21:40:32.8981489Z 2024-08-20T21:40:32.8981718Z --- Parse Warning: 38 / 101 --- 2024-08-20T21:40:32.8983261Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_save in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=170. 2024-08-20T21:40:32.8983678Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8984133Z Asynchronous version of ``save``. This code first de-stages the state_dict on to the 2024-08-20T21:40:32.8984607Z staging storage (defaults to CPU memory), and then calls the `save` in a separate thread. 2024-08-20T21:40:32.8984710Z 2024-08-20T21:40:32.8984814Z .. warning:: 2024-08-20T21:40:32.8985025Z This feature is experimental and subject to change. 2024-08-20T21:40:32.8985126Z 2024-08-20T21:40:32.8985220Z Args: 2024-08-20T21:40:32.8985424Z state_dict (Dict[str, Any]): The state_dict to save. 2024-08-20T21:40:32.8985632Z checkpoint_id (Union[str, os.PathLike, None]): 2024-08-20T21:40:32.8985933Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2024-08-20T21:40:32.8986228Z depends on the storage. It can be a path to a folder or to a file. 2024-08-20T21:40:32.8986556Z It can also be a key if the storage is a key-value store. 2024-08-20T21:40:32.8986672Z (Default: ``None``) 2024-08-20T21:40:32.8986859Z storage_writer (Optional[StorageWriter]): 2024-08-20T21:40:32.8987222Z Instance of StorageWriter used to perform 'stage' and 'save'. If 2024-08-20T21:40:32.8987558Z this is not specified, DCP will automatically infer the writer based on the 2024-08-20T21:40:32.8987841Z checkpoint_id. If checkpoint_id is also None, an exception will 2024-08-20T21:40:32.8987984Z be raised. (Default: ``None``) 2024-08-20T21:40:32.8988135Z planner (Optional[SavePlanner]): 2024-08-20T21:40:32.8988425Z Instance of SavePlanner. If this is not specificed, the default 2024-08-20T21:40:32.8988598Z planner will be used. (Default: ``None``) 2024-08-20T21:40:32.8988768Z process_group (Optional[ProcessGroup]): 2024-08-20T21:40:32.8989139Z ProcessGroup to be used for cross-rank synchronization. 2024-08-20T21:40:32.8989254Z (Default: ``None``) 2024-08-20T21:40:32.8989344Z 2024-08-20T21:40:32.8989454Z Returns: 2024-08-20T21:40:32.8989742Z Future: A future holding the resultant Metadata object from `save`. 2024-08-20T21:40:32.8989843Z 2024-08-20T21:40:32.8989941Z Example: 2024-08-20T21:40:32.8990060Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.8990199Z >>> my_model = MyModule() 2024-08-20T21:40:32.8990330Z 2024-08-20T21:40:32.8990478Z >>> state_dict = {"model": my_model} 2024-08-20T21:40:32.8990578Z 2024-08-20T21:40:32.8990988Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter("/checkpoint/1") 2024-08-20T21:40:32.8991266Z >>> checkpoint_future = torch.distributed.checkpoint.async_save( 2024-08-20T21:40:32.8991463Z >>> state_dict=state_dict, 2024-08-20T21:40:32.8991627Z >>> storage_writer=fs_storage_writer, 2024-08-20T21:40:32.8991725Z >>> ) 2024-08-20T21:40:32.8991831Z >>> 2024-08-20T21:40:32.8991955Z >>> # ... do some work ... 2024-08-20T21:40:32.8992060Z >>> 2024-08-20T21:40:32.8992204Z >>> checkpoint_future.result() 2024-08-20T21:40:32.8992292Z 2024-08-20T21:40:32.8992393Z 2024-08-20T21:40:32.8992800Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.8992887Z 2024-08-20T21:40:32.8993011Z warnings.warn(msg) 2024-08-20T21:40:32.8993095Z 2024-08-20T21:40:32.8993305Z --- Parse Warning: 39 / 101 --- 2024-08-20T21:40:32.8994950Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=construct_and_record_rdzv_event in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/elastic/events/__init__.py line=91. 2024-08-20T21:40:32.8995369Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.8995470Z 2024-08-20T21:40:32.8995721Z Initialize rendezvous event object and record its operations. 2024-08-20T21:40:32.8995838Z 2024-08-20T21:40:32.8995946Z Args: 2024-08-20T21:40:32.8996112Z run_id (str): The run id of the rendezvous. 2024-08-20T21:40:32.8996303Z message (str): The message describing the event. 2024-08-20T21:40:32.8996661Z node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED). 2024-08-20T21:40:32.8996916Z name (str): Event name. (E.g. Current action being performed). 2024-08-20T21:40:32.8997066Z hostname (str): Hostname of the node. 2024-08-20T21:40:32.8997270Z pid (Optional[int]): The process id of the node. 2024-08-20T21:40:32.8997603Z master_endpoint (str): The master endpoint for the rendezvous store, if known. 2024-08-20T21:40:32.8997999Z local_id (Optional[int]): The local_id of the node, if defined in dynamic_rendezvous.py 2024-08-20T21:40:32.8998207Z rank (Optional[int]): The rank of the node, if known. 2024-08-20T21:40:32.8998306Z Returns: 2024-08-20T21:40:32.8998418Z None 2024-08-20T21:40:32.8998518Z Example: 2024-08-20T21:40:32.8998686Z >>> # See DynamicRendezvousHandler class 2024-08-20T21:40:32.8998805Z >>> def _record( 2024-08-20T21:40:32.8998904Z ... self, 2024-08-20T21:40:32.8999014Z ... message: str, 2024-08-20T21:40:32.8999219Z ... node_state: NodeState = NodeState.RUNNING, 2024-08-20T21:40:32.8999356Z ... rank: Optional[int] = None, 2024-08-20T21:40:32.8999494Z ... ) -> None: 2024-08-20T21:40:32.8999658Z ... construct_and_record_rdzv_event( 2024-08-20T21:40:32.8999877Z ... name=f"{self.__class__.__name__}.{get_method_name()}", 2024-08-20T21:40:32.9000031Z ... run_id=self._settings.run_id, 2024-08-20T21:40:32.9000237Z ... message=message, 2024-08-20T21:40:32.9000365Z ... node_state=node_state, 2024-08-20T21:40:32.9000579Z ... hostname=self._this_node.addr, 2024-08-20T21:40:32.9000728Z ... pid=self._this_node.pid, 2024-08-20T21:40:32.9000893Z ... local_id=self._this_node.local_id, 2024-08-20T21:40:32.9001017Z ... rank=rank, 2024-08-20T21:40:32.9001113Z ... ) 2024-08-20T21:40:32.9001202Z 2024-08-20T21:40:32.9001623Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9001712Z 2024-08-20T21:40:32.9001823Z warnings.warn(msg) 2024-08-20T21:40:32.9001926Z 2024-08-20T21:40:32.9002139Z --- Parse Warning: 40 / 101 --- 2024-08-20T21:40:32.9003616Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixedPrecision in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=113. 2024-08-20T21:40:32.9004052Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9004142Z 2024-08-20T21:40:32.9004417Z This configures FSDP-native mixed precision training. 2024-08-20T21:40:32.9004520Z 2024-08-20T21:40:32.9004622Z Attributes: 2024-08-20T21:40:32.9004940Z param_dtype (Optional[torch.dtype]): This specifies the dtype for model 2024-08-20T21:40:32.9005206Z parameters during forward and backward and thus the dtype for 2024-08-20T21:40:32.9005499Z forward and backward computation. Outside forward and backward, the 2024-08-20T21:40:32.9005761Z *sharded* parameters are kept in full precision (e.g. for the 2024-08-20T21:40:32.9006037Z optimizer step), and for model checkpointing, the parameters are 2024-08-20T21:40:32.9006247Z always saved in full precision. (Default: ``None``) 2024-08-20T21:40:32.9006539Z reduce_dtype (Optional[torch.dtype]): This specifies the dtype for 2024-08-20T21:40:32.9006898Z gradient reduction (i.e. reduce-scatter or all-reduce). If this is 2024-08-20T21:40:32.9007149Z ``None`` but ``param_dtype`` is not ``None``, then this takes on 2024-08-20T21:40:32.9007461Z the ``param_dtype`` value, still running gradient reduction in low 2024-08-20T21:40:32.9007740Z precision. This is permitted to differ from ``param_dtype``, e.g. 2024-08-20T21:40:32.9008021Z to force gradient reduction to run in full precision. (Default: 2024-08-20T21:40:32.9008117Z ``None``) 2024-08-20T21:40:32.9008396Z buffer_dtype (Optional[torch.dtype]): This specifies the dtype for 2024-08-20T21:40:32.9008679Z buffers. FSDP does not shard buffers. Rather, FSDP casts them to 2024-08-20T21:40:32.9008944Z ``buffer_dtype`` in the first forward pass and keeps them in that 2024-08-20T21:40:32.9009222Z dtype thereafter. For model checkpointing, the buffers are saved 2024-08-20T21:40:32.9009482Z in full precision except for ``LOCAL_STATE_DICT``. (Default: 2024-08-20T21:40:32.9009578Z ``None``) 2024-08-20T21:40:32.9009832Z keep_low_precision_grads (bool): If ``False``, then FSDP upcasts 2024-08-20T21:40:32.9010136Z gradients to full precision after the backward pass in preparation 2024-08-20T21:40:32.9010417Z for the optimizer step. If ``True``, then FSDP keeps the gradients 2024-08-20T21:40:32.9010708Z in the dtype used for gradient reduction, which can save memory if 2024-08-20T21:40:32.9010985Z using a custom optimizer that supports running in low precision. 2024-08-20T21:40:32.9011098Z (Default: ``False``) 2024-08-20T21:40:32.9011378Z cast_forward_inputs (bool): If ``True``, then this FSDP module casts 2024-08-20T21:40:32.9011657Z its forward args and kwargs to ``param_dtype``. This is to ensure 2024-08-20T21:40:32.9011983Z that parameter and input dtypes match for forward computation, as 2024-08-20T21:40:32.9012281Z required by many ops. This may need to be set to ``True`` when only 2024-08-20T21:40:32.9012573Z applying mixed precision to some but not all FSDP modules, in which 2024-08-20T21:40:32.9012945Z case a mixed-precision FSDP submodule needs to recast its inputs. 2024-08-20T21:40:32.9013057Z (Default: ``False``) 2024-08-20T21:40:32.9013341Z cast_root_forward_inputs (bool): If ``True``, then the root FSDP module 2024-08-20T21:40:32.9013622Z casts its forward args and kwargs to ``param_dtype``, overriding 2024-08-20T21:40:32.9013958Z the value of ``cast_forward_inputs``. For non-root FSDP modules, 2024-08-20T21:40:32.9014141Z this does not do anything. (Default: ``True``) 2024-08-20T21:40:32.9014484Z _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies 2024-08-20T21:40:32.9014736Z module classes to ignore for mixed precision when using an 2024-08-20T21:40:32.9014975Z ``auto_wrap_policy``: Modules of these classes will have FSDP 2024-08-20T21:40:32.9015265Z applied to them separately with mixed precision disabled (meaning 2024-08-20T21:40:32.9015546Z that the final FSDP construction would deviate from the specified 2024-08-20T21:40:32.9015814Z policy). If ``auto_wrap_policy`` is not specified, then this does 2024-08-20T21:40:32.9016087Z not do anything. This API is experimental and subject to change. 2024-08-20T21:40:32.9016215Z (Default: ``(_BatchNorm,)``) 2024-08-20T21:40:32.9016312Z 2024-08-20T21:40:32.9016530Z .. note:: This API is experimental and subject to change. 2024-08-20T21:40:32.9016617Z 2024-08-20T21:40:32.9016923Z .. note:: Only floating point tensors are cast to their specified dtypes. 2024-08-20T21:40:32.9017013Z 2024-08-20T21:40:32.9017260Z .. note:: In ``summon_full_params``, parameters are forced to full 2024-08-20T21:40:32.9017405Z precision, but buffers are not. 2024-08-20T21:40:32.9017490Z 2024-08-20T21:40:32.9017771Z .. note:: Layer norm and batch norm accumulate in ``float32`` even when 2024-08-20T21:40:32.9018103Z their inputs are in a low precision like ``float16`` or ``bfloat16``. 2024-08-20T21:40:32.9018487Z Disabling FSDP's mixed precision for those norm modules only means that 2024-08-20T21:40:32.9018779Z the affine parameters are kept in ``float32``. However, this incurs 2024-08-20T21:40:32.9019166Z separate all-gathers and reduce-scatters for those norm modules, which 2024-08-20T21:40:32.9019467Z may be inefficient, so if the workload permits, the user should prefer 2024-08-20T21:40:32.9019670Z to still apply mixed precision to those modules. 2024-08-20T21:40:32.9019755Z 2024-08-20T21:40:32.9020051Z .. note:: By default, if the user passes a model with any ``_BatchNorm`` 2024-08-20T21:40:32.9020337Z modules and specifies an ``auto_wrap_policy``, then the batch norm 2024-08-20T21:40:32.9020733Z modules will have FSDP applied to them separately with mixed precision 2024-08-20T21:40:32.9021022Z disabled. See the ``_module_classes_to_ignore`` argument. 2024-08-20T21:40:32.9021113Z 2024-08-20T21:40:32.9021382Z .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and 2024-08-20T21:40:32.9021672Z ``cast_forward_inputs=False`` by default. For the root FSDP instance, 2024-08-20T21:40:32.9021896Z its ``cast_root_forward_inputs`` takes precedence over its 2024-08-20T21:40:32.9022201Z ``cast_forward_inputs``. For non-root FSDP instances, their 2024-08-20T21:40:32.9022501Z ``cast_root_forward_inputs`` values are ignored. The default setting is 2024-08-20T21:40:32.9022799Z sufficient for the typical case where each FSDP instance has the same 2024-08-20T21:40:32.9023123Z ``MixedPrecision`` configuration and only needs to cast inputs to the 2024-08-20T21:40:32.9023442Z ``param_dtype`` at the beginning of the model's forward pass. 2024-08-20T21:40:32.9023528Z 2024-08-20T21:40:32.9023818Z .. note:: For nested FSDP instances with different ``MixedPrecision`` 2024-08-20T21:40:32.9024126Z configurations, we recommend setting individual ``cast_forward_inputs`` 2024-08-20T21:40:32.9024435Z values to configure casting inputs or not before each instance's 2024-08-20T21:40:32.9024713Z forward. In such a case, since the casts happen before each FSDP 2024-08-20T21:40:32.9025070Z instance's forward, a parent FSDP instance should have its non-FSDP 2024-08-20T21:40:32.9025379Z submodules run before its FSDP submodules to avoid the activation dtype 2024-08-20T21:40:32.9025864Z being changed due to a different ``MixedPrecision`` configuration. 2024-08-20T21:40:32.9026073Z 2024-08-20T21:40:32.9026180Z Example:: 2024-08-20T21:40:32.9026283Z 2024-08-20T21:40:32.9026457Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:32.9026681Z >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3)) 2024-08-20T21:40:32.9026805Z >>> model[1] = FSDP( 2024-08-20T21:40:32.9026911Z >>> model[1], 2024-08-20T21:40:32.9027330Z >>> mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True), 2024-08-20T21:40:32.9027423Z >>> ) 2024-08-20T21:40:32.9027529Z >>> model = FSDP( 2024-08-20T21:40:32.9027641Z >>> model, 2024-08-20T21:40:32.9028036Z >>> mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True), 2024-08-20T21:40:32.9028129Z >>> ) 2024-08-20T21:40:32.9028225Z 2024-08-20T21:40:32.9028517Z The above shows a working example. On the other hand, if ``model[1]`` 2024-08-20T21:40:32.9028789Z were replaced with ``model[0]``, meaning that the submodule using 2024-08-20T21:40:32.9029090Z different ``MixedPrecision`` ran its forward first, then ``model[1]`` 2024-08-20T21:40:32.9029376Z would incorrectly see ``float16`` activations instead of ``bfloat16`` 2024-08-20T21:40:32.9029471Z ones. 2024-08-20T21:40:32.9029621Z 2024-08-20T21:40:32.9029706Z 2024-08-20T21:40:32.9030122Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9030221Z 2024-08-20T21:40:32.9030329Z warnings.warn(msg) 2024-08-20T21:40:32.9030431Z 2024-08-20T21:40:32.9030640Z --- Parse Warning: 41 / 101 --- 2024-08-20T21:40:32.9032430Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=648. 2024-08-20T21:40:32.9032861Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9033211Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2024-08-20T21:40:32.9033298Z 2024-08-20T21:40:32.9033750Z Also takes (optional) configuration for the model's and optimizer's state dict. 2024-08-20T21:40:32.9034037Z The target module does not have to be a FSDP module. If the target 2024-08-20T21:40:32.9034342Z module is a FSDP module, its ``state_dict_type`` will also be changed. 2024-08-20T21:40:32.9034428Z 2024-08-20T21:40:32.9034769Z .. note:: This API should be called for only the top-level (root) 2024-08-20T21:40:32.9034879Z module. 2024-08-20T21:40:32.9034968Z 2024-08-20T21:40:32.9035262Z .. note:: This API enables users to transparently use the conventional 2024-08-20T21:40:32.9035536Z ``state_dict`` API to take model checkpoints in cases where the 2024-08-20T21:40:32.9035871Z root FSDP module is wrapped by another ``nn.Module``. For example, 2024-08-20T21:40:32.9036228Z the following will ensure ``state_dict`` is called on all non-FSDP 2024-08-20T21:40:32.9036544Z instances, while dispatching into `sharded_state_dict` implementation 2024-08-20T21:40:32.9036651Z for FSDP: 2024-08-20T21:40:32.9036748Z 2024-08-20T21:40:32.9036850Z Example:: 2024-08-20T21:40:32.9036934Z 2024-08-20T21:40:32.9037125Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:32.9037257Z >>> model = DDP(FSDP(...)) 2024-08-20T21:40:32.9037396Z >>> FSDP.set_state_dict_type( 2024-08-20T21:40:32.9037510Z >>> model, 2024-08-20T21:40:32.9037687Z >>> StateDictType.SHARDED_STATE_DICT, 2024-08-20T21:40:32.9038026Z >>> state_dict_config = ShardedStateDictConfig(offload_to_cpu=True), 2024-08-20T21:40:32.9038346Z >>> optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True), 2024-08-20T21:40:32.9038442Z >>> ) 2024-08-20T21:40:32.9038609Z >>> param_state_dict = model.state_dict() 2024-08-20T21:40:32.9038847Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2024-08-20T21:40:32.9038936Z 2024-08-20T21:40:32.9039031Z Args: 2024-08-20T21:40:32.9039206Z module (torch.nn.Module): Root module. 2024-08-20T21:40:32.9039511Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2024-08-20T21:40:32.9039834Z state_dict_config (Optional[StateDictConfig]): the configuration for the 2024-08-20T21:40:32.9039975Z target ``state_dict_type``. 2024-08-20T21:40:32.9040306Z optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration 2024-08-20T21:40:32.9040471Z for the optimizer state dict. 2024-08-20T21:40:32.9040561Z 2024-08-20T21:40:32.9040659Z Returns: 2024-08-20T21:40:32.9040958Z A StateDictSettings that include the previous state_dict type and 2024-08-20T21:40:32.9041101Z configuration for the module. 2024-08-20T21:40:32.9041221Z 2024-08-20T21:40:32.9041636Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9041721Z 2024-08-20T21:40:32.9041854Z warnings.warn(msg) 2024-08-20T21:40:32.9041953Z 2024-08-20T21:40:32.9042161Z --- Parse Warning: 42 / 101 --- 2024-08-20T21:40:32.9043948Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=804. 2024-08-20T21:40:32.9044370Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9044725Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2024-08-20T21:40:32.9044827Z 2024-08-20T21:40:32.9045270Z This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of 2024-08-20T21:40:32.9045440Z :meth:`set_state_dict_type` for the detail. 2024-08-20T21:40:32.9045543Z 2024-08-20T21:40:32.9045645Z Example:: 2024-08-20T21:40:32.9045732Z 2024-08-20T21:40:32.9045925Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:32.9046057Z >>> model = DDP(FSDP(...)) 2024-08-20T21:40:32.9046199Z >>> with FSDP.state_dict_type( 2024-08-20T21:40:32.9046313Z >>> model, 2024-08-20T21:40:32.9046490Z >>> StateDictType.SHARDED_STATE_DICT, 2024-08-20T21:40:32.9046598Z >>> ): 2024-08-20T21:40:32.9046765Z >>> checkpoint = model.state_dict() 2024-08-20T21:40:32.9046887Z 2024-08-20T21:40:32.9046993Z Args: 2024-08-20T21:40:32.9047156Z module (torch.nn.Module): Root module. 2024-08-20T21:40:32.9047464Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2024-08-20T21:40:32.9047781Z state_dict_config (Optional[StateDictConfig]): the model ``state_dict`` 2024-08-20T21:40:32.9047994Z configuration for the target ``state_dict_type``. 2024-08-20T21:40:32.9048305Z optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer 2024-08-20T21:40:32.9048579Z ``state_dict`` configuration for the target ``state_dict_type``. 2024-08-20T21:40:32.9048670Z 2024-08-20T21:40:32.9049074Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9049175Z 2024-08-20T21:40:32.9049338Z warnings.warn(msg) 2024-08-20T21:40:32.9049439Z 2024-08-20T21:40:32.9049653Z --- Parse Warning: 43 / 101 --- 2024-08-20T21:40:32.9051432Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1801. 2024-08-20T21:40:32.9051860Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9051948Z 2024-08-20T21:40:32.9052349Z Transform the state-dict of an optimizer corresponding to a sharded model. 2024-08-20T21:40:32.9052445Z 2024-08-20T21:40:32.9052765Z The given state-dict can be transformed to one of three types: 2024-08-20T21:40:32.9053166Z 1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict. 2024-08-20T21:40:32.9053262Z 2024-08-20T21:40:32.9053581Z For full optimizer state_dict, all states are unflattened and not sharded. 2024-08-20T21:40:32.9053904Z Rank0 only and CPU only can be specified via :meth:`state_dict_type` to 2024-08-20T21:40:32.9054001Z avoid OOM. 2024-08-20T21:40:32.9054087Z 2024-08-20T21:40:32.9054409Z For sharded optimizer state_dict, all states are unflattened but sharded. 2024-08-20T21:40:32.9054729Z CPU only can be specified via :meth:`state_dict_type` to further save 2024-08-20T21:40:32.9054824Z memory. 2024-08-20T21:40:32.9054924Z 2024-08-20T21:40:32.9055220Z For local state_dict, no transformation will be performed. But a state 2024-08-20T21:40:32.9055548Z will be converted from nn.Tensor to ShardedTensor to represent its sharding 2024-08-20T21:40:32.9055695Z nature (this is not supported yet). 2024-08-20T21:40:32.9055781Z 2024-08-20T21:40:32.9055879Z Example:: 2024-08-20T21:40:32.9055977Z 2024-08-20T21:40:32.9056153Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:32.9056471Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2024-08-20T21:40:32.9056698Z >>> from torch.distributed.fsdp import StateDictType 2024-08-20T21:40:32.9056935Z >>> from torch.distributed.fsdp import FullStateDictConfig 2024-08-20T21:40:32.9057214Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2024-08-20T21:40:32.9057331Z >>> # Save a checkpoint 2024-08-20T21:40:32.9057445Z >>> model, optim = ... 2024-08-20T21:40:32.9057580Z >>> FSDP.set_state_dict_type( 2024-08-20T21:40:32.9057676Z >>> model, 2024-08-20T21:40:32.9057830Z >>> StateDictType.FULL_STATE_DICT, 2024-08-20T21:40:32.9058015Z >>> FullStateDictConfig(rank0_only=False), 2024-08-20T21:40:32.9058209Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-08-20T21:40:32.9058301Z >>> ) 2024-08-20T21:40:32.9058449Z >>> state_dict = model.state_dict() 2024-08-20T21:40:32.9058672Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2024-08-20T21:40:32.9058890Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2024-08-20T21:40:32.9059016Z >>> # Load a checkpoint 2024-08-20T21:40:32.9059127Z >>> model, optim = ... 2024-08-20T21:40:32.9059325Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2024-08-20T21:40:32.9059464Z >>> FSDP.set_state_dict_type( 2024-08-20T21:40:32.9059560Z >>> model, 2024-08-20T21:40:32.9059724Z >>> StateDictType.FULL_STATE_DICT, 2024-08-20T21:40:32.9059895Z >>> FullStateDictConfig(rank0_only=False), 2024-08-20T21:40:32.9060087Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-08-20T21:40:32.9060188Z >>> ) 2024-08-20T21:40:32.9060331Z >>> model.load_state_dict(state_dict) 2024-08-20T21:40:32.9060634Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2024-08-20T21:40:32.9060794Z >>> model, optim, optim_state_dict 2024-08-20T21:40:32.9061020Z >>> ) 2024-08-20T21:40:32.9061179Z >>> optim.load_state_dict(optim_state_dict) 2024-08-20T21:40:32.9061278Z 2024-08-20T21:40:32.9061369Z Args: 2024-08-20T21:40:32.9061632Z model (torch.nn.Module): Root module (which may or may not be a 2024-08-20T21:40:32.9061909Z :class:`FullyShardedDataParallel` instance) whose parameters 2024-08-20T21:40:32.9062081Z were passed into the optimizer ``optim``. 2024-08-20T21:40:32.9062368Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2024-08-20T21:40:32.9062483Z parameters. 2024-08-20T21:40:32.9062766Z optim_state_dict (Dict[str, Any]): the target optimizer state_dict to 2024-08-20T21:40:32.9063062Z transform. If the value is None, optim.state_dict() will be used. ( 2024-08-20T21:40:32.9063172Z Default: ``None``) 2024-08-20T21:40:32.9063569Z group (dist.ProcessGroup): Model's process group across which parameters 2024-08-20T21:40:32.9063837Z are sharded or ``None`` if using the default process group. ( 2024-08-20T21:40:32.9063948Z Default: ``None``) 2024-08-20T21:40:32.9064033Z 2024-08-20T21:40:32.9064138Z Returns: 2024-08-20T21:40:32.9064410Z Dict[str, Any]: A :class:`dict` containing the optimizer state for 2024-08-20T21:40:32.9064669Z ``model``. The sharding of the optimizer state is based on 2024-08-20T21:40:32.9064790Z ``state_dict_type``. 2024-08-20T21:40:32.9064875Z 2024-08-20T21:40:32.9065280Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9065378Z 2024-08-20T21:40:32.9065488Z warnings.warn(msg) 2024-08-20T21:40:32.9065573Z 2024-08-20T21:40:32.9065796Z --- Parse Warning: 44 / 101 --- 2024-08-20T21:40:32.9067627Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1899. 2024-08-20T21:40:32.9068057Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9068143Z 2024-08-20T21:40:32.9068746Z Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model. 2024-08-20T21:40:32.9068846Z 2024-08-20T21:40:32.9069064Z Given a ``optim_state_dict`` that is transformed through 2024-08-20T21:40:32.9069344Z :meth:`optim_state_dict`, it gets converted to the flattened optimizer 2024-08-20T21:40:32.9069647Z state_dict that can be loaded to ``optim`` which is the optimizer for 2024-08-20T21:40:32.9069898Z ``model``. ``model`` must be sharded by FullyShardedDataParallel. 2024-08-20T21:40:32.9069999Z 2024-08-20T21:40:32.9070167Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:32.9070485Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2024-08-20T21:40:32.9070741Z >>> from torch.distributed.fsdp import StateDictType 2024-08-20T21:40:32.9070977Z >>> from torch.distributed.fsdp import FullStateDictConfig 2024-08-20T21:40:32.9071240Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2024-08-20T21:40:32.9071370Z >>> # Save a checkpoint 2024-08-20T21:40:32.9071482Z >>> model, optim = ... 2024-08-20T21:40:32.9071607Z >>> FSDP.set_state_dict_type( 2024-08-20T21:40:32.9071716Z >>> model, 2024-08-20T21:40:32.9071869Z >>> StateDictType.FULL_STATE_DICT, 2024-08-20T21:40:32.9072039Z >>> FullStateDictConfig(rank0_only=False), 2024-08-20T21:40:32.9072248Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-08-20T21:40:32.9072340Z >>> ) 2024-08-20T21:40:32.9072476Z >>> state_dict = model.state_dict() 2024-08-20T21:40:32.9072694Z >>> original_osd = optim.state_dict() 2024-08-20T21:40:32.9072925Z >>> optim_state_dict = FSDP.optim_state_dict( 2024-08-20T21:40:32.9073040Z >>> model, 2024-08-20T21:40:32.9073139Z >>> optim, 2024-08-20T21:40:32.9073281Z >>> optim_state_dict=original_osd 2024-08-20T21:40:32.9073382Z >>> ) 2024-08-20T21:40:32.9073568Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2024-08-20T21:40:32.9073683Z >>> # Load a checkpoint 2024-08-20T21:40:32.9073807Z >>> model, optim = ... 2024-08-20T21:40:32.9074006Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2024-08-20T21:40:32.9074130Z >>> FSDP.set_state_dict_type( 2024-08-20T21:40:32.9074238Z >>> model, 2024-08-20T21:40:32.9074387Z >>> StateDictType.FULL_STATE_DICT, 2024-08-20T21:40:32.9074555Z >>> FullStateDictConfig(rank0_only=False), 2024-08-20T21:40:32.9074762Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-08-20T21:40:32.9074855Z >>> ) 2024-08-20T21:40:32.9075001Z >>> model.load_state_dict(state_dict) 2024-08-20T21:40:32.9075209Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2024-08-20T21:40:32.9075351Z >>> model, optim, optim_state_dict 2024-08-20T21:40:32.9075452Z >>> ) 2024-08-20T21:40:32.9075610Z >>> optim.load_state_dict(optim_state_dict) 2024-08-20T21:40:32.9075728Z 2024-08-20T21:40:32.9075832Z Args: 2024-08-20T21:40:32.9076095Z model (torch.nn.Module): Root module (which may or may not be a 2024-08-20T21:40:32.9076355Z :class:`FullyShardedDataParallel` instance) whose parameters 2024-08-20T21:40:32.9076539Z were passed into the optimizer ``optim``. 2024-08-20T21:40:32.9076817Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2024-08-20T21:40:32.9076920Z parameters. 2024-08-20T21:40:32.9077214Z optim_state_dict (Dict[str, Any]): The optimizer states to be loaded. 2024-08-20T21:40:32.9077483Z is_named_optimizer (bool): Is this optimizer a NamedOptimizer or 2024-08-20T21:40:32.9077771Z KeyedOptimizer. Only set to True if ``optim`` is TorchRec's 2024-08-20T21:40:32.9078073Z KeyedOptimizer or torch.distributed's NamedOptimizer. 2024-08-20T21:40:32.9078336Z load_directly (bool): If this is set to True, this API will also 2024-08-20T21:40:32.9078615Z call optim.load_state_dict(result) before returning the result. 2024-08-20T21:40:32.9078902Z Otherwise, users are responsible to call ``optim.load_state_dict()`` 2024-08-20T21:40:32.9079014Z (Default: ``False``) 2024-08-20T21:40:32.9079415Z group (dist.ProcessGroup): Model's process group across which parameters 2024-08-20T21:40:32.9079667Z are sharded or ``None`` if using the default process group. ( 2024-08-20T21:40:32.9079778Z Default: ``None``) 2024-08-20T21:40:32.9079875Z 2024-08-20T21:40:32.9080281Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9080428Z 2024-08-20T21:40:32.9080551Z warnings.warn(msg) 2024-08-20T21:40:32.9080637Z 2024-08-20T21:40:32.9080850Z --- Parse Warning: 45 / 101 --- 2024-08-20T21:40:32.9082409Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.__init__ in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=137. 2024-08-20T21:40:32.9082826Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9082929Z 2024-08-20T21:40:32.9083219Z RemoteModule instance can only be created after RPC initialization. 2024-08-20T21:40:32.9083305Z 2024-08-20T21:40:32.9083651Z It creates a user-specified module on a specified remote node. 2024-08-20T21:40:32.9083975Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2024-08-20T21:40:32.9084151Z executed on the remote node. 2024-08-20T21:40:32.9084492Z It takes care of autograd recording to ensure the backward pass propagates 2024-08-20T21:40:32.9084727Z gradients back to the corresponding remote module. 2024-08-20T21:40:32.9085211Z It can be shared across processors using `RPC framework `__, 2024-08-20T21:40:32.9085483Z without incurring any overheads of copying the actual module, 2024-08-20T21:40:32.9085746Z which is equivalent to an :class:`~torch.distributed.rpc.RRef` 2024-08-20T21:40:32.9085888Z pointing to the remote module. 2024-08-20T21:40:32.9085973Z 2024-08-20T21:40:32.9086237Z The arguments of ``forward_async`` and ``forward`` are the same as 2024-08-20T21:40:32.9086520Z the ``forward`` method of the module returned by the ``module_cls``. 2024-08-20T21:40:32.9086609Z 2024-08-20T21:40:32.9087035Z Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now. 2024-08-20T21:40:32.9087140Z 2024-08-20T21:40:32.9087482Z Particularly, to create a hybrid model, typically the local modules should be 2024-08-20T21:40:32.9087994Z created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``). 2024-08-20T21:40:32.9088113Z Hybrid Example: 2024-08-20T21:40:32.9088288Z >>> class HybridModel(nn.Module): 2024-08-20T21:40:32.9088485Z >>> def __init__(self) -> None: 2024-08-20T21:40:32.9088639Z >>> nn.Module.__init__(self) 2024-08-20T21:40:32.9088900Z >>> self.remote_embedding = RemoteModule(...) 2024-08-20T21:40:32.9089149Z >>> self.local_linear = nn.Linear(...) 2024-08-20T21:40:32.9095929Z 2024-08-20T21:40:32.9096281Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2024-08-20T21:40:32.9096760Z that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``, 2024-08-20T21:40:32.9097068Z the generated ``RemoteModule`` will have 2 methods in signature of 2024-08-20T21:40:32.9097307Z ``def forward(input: Tensor) -> Tensor:`` and 2024-08-20T21:40:32.9097587Z ``def forward_async(input: Tensor) -> Future[Tensor]:``. 2024-08-20T21:40:32.9097695Z 2024-08-20T21:40:32.9097805Z .. note:: 2024-08-20T21:40:32.9098005Z If the remote module is placed on a cuda device, 2024-08-20T21:40:32.9098352Z any input CPU tensors will be automatically moved to the same cuda device, 2024-08-20T21:40:32.9098934Z and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend. 2024-08-20T21:40:32.9099039Z 2024-08-20T21:40:32.9099138Z Args: 2024-08-20T21:40:32.9099637Z remote_device (str): Device on the destination worker where we'd like to place this module. 2024-08-20T21:40:32.9100082Z The device can be a local device or a remote device specified by one of the following remote 2024-08-20T21:40:32.9100188Z formats: 2024-08-20T21:40:32.9100375Z 2024-08-20T21:40:32.9100681Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2024-08-20T21:40:32.9100989Z 2. "/" (ex: "trainer0/cuda:0"). 2024-08-20T21:40:32.9101082Z 2024-08-20T21:40:32.9101440Z In addition, the device field can be optional and the default value is "cpu". 2024-08-20T21:40:32.9101594Z module_cls (nn.Module): For example, 2024-08-20T21:40:32.9101734Z >>> class MyModule(nn.Module): 2024-08-20T21:40:32.9101876Z >>> def forward(input): 2024-08-20T21:40:32.9102003Z >>> return input + 1 2024-08-20T21:40:32.9102117Z >>> 2024-08-20T21:40:32.9102242Z >>> module_cls = MyModule 2024-08-20T21:40:32.9102503Z args (Sequence, optional): args to be passed to ``module_cls``. 2024-08-20T21:40:32.9102774Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2024-08-20T21:40:32.9103231Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2024-08-20T21:40:32.9103575Z to be created. The type object should be decorated by @torch.jit.interface. 2024-08-20T21:40:32.9103982Z If not provided, the generated RemoteModule is not torchscript-able. 2024-08-20T21:40:32.9104311Z Warning, this is an experimental API and susceptible to frequent changes. 2024-08-20T21:40:32.9104402Z 2024-08-20T21:40:32.9104517Z Returns: 2024-08-20T21:40:32.9104843Z A remote module instance which wraps the :class:`~nn.Module` created by the 2024-08-20T21:40:32.9105244Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2024-08-20T21:40:32.9105603Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2024-08-20T21:40:32.9105853Z on the user-provided module on the remote side. 2024-08-20T21:40:32.9105958Z 2024-08-20T21:40:32.9106064Z Example:: 2024-08-20T21:40:32.9106276Z Run the following code in two different processes: 2024-08-20T21:40:32.9106383Z 2024-08-20T21:40:32.9106567Z >>> # xdoctest: +SKIP("distributed") 2024-08-20T21:40:32.9106681Z >>> # On worker 0: 2024-08-20T21:40:32.9106803Z >>> import torch 2024-08-20T21:40:32.9106971Z >>> import torch.distributed.rpc as rpc 2024-08-20T21:40:32.9107146Z >>> from torch import nn, Tensor 2024-08-20T21:40:32.9107457Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2024-08-20T21:40:32.9107553Z >>> 2024-08-20T21:40:32.9107735Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2024-08-20T21:40:32.9107908Z >>> remote_linear_module = RemoteModule( 2024-08-20T21:40:32.9108080Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2024-08-20T21:40:32.9108175Z >>> ) 2024-08-20T21:40:32.9108323Z >>> input = torch.randn(128, 20) 2024-08-20T21:40:32.9108536Z >>> ret_fut = remote_linear_module.forward_async(input) 2024-08-20T21:40:32.9108669Z >>> ret = ret_fut.wait() 2024-08-20T21:40:32.9108783Z >>> rpc.shutdown() 2024-08-20T21:40:32.9108875Z 2024-08-20T21:40:32.9108997Z >>> # On worker 1: 2024-08-20T21:40:32.9109103Z >>> import torch 2024-08-20T21:40:32.9109269Z >>> import torch.distributed.rpc as rpc 2024-08-20T21:40:32.9109380Z >>> 2024-08-20T21:40:32.9109562Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2024-08-20T21:40:32.9109674Z >>> rpc.shutdown() 2024-08-20T21:40:32.9109777Z 2024-08-20T21:40:32.9110193Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9110284Z 2024-08-20T21:40:32.9110413Z warnings.warn(msg) 2024-08-20T21:40:32.9110503Z 2024-08-20T21:40:32.9110719Z --- Parse Warning: 46 / 101 --- 2024-08-20T21:40:32.9112372Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=514. 2024-08-20T21:40:32.9112826Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9112930Z 2024-08-20T21:40:32.9113360Z Besides the constructor, a RemoteModule instance can also be initialized given a module RRef. 2024-08-20T21:40:32.9113494Z 2024-08-20T21:40:32.9113940Z This alternate initialization method can be particularly useful if we want to create multiple 2024-08-20T21:40:32.9114362Z RemoteModule instances that share the same underlying module and reduce memory consumption. 2024-08-20T21:40:32.9114453Z 2024-08-20T21:40:32.9114839Z Moreover, this also provides a workaround for passing script RemoteModule over RPC, 2024-08-20T21:40:32.9115077Z which is not supported. The recommended way is as follows: 2024-08-20T21:40:32.9115168Z 2024-08-20T21:40:32.9115420Z 1. the sender creates a RemoteModule; 2024-08-20T21:40:32.9115619Z 2. the sender sends its ``module_rref`` over RPC; 2024-08-20T21:40:32.9116082Z 3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``. 2024-08-20T21:40:32.9116189Z 2024-08-20T21:40:32.9116293Z Example:: 2024-08-20T21:40:32.9116517Z Run the following code in two different processes: 2024-08-20T21:40:32.9116609Z 2024-08-20T21:40:32.9116758Z >>> # xdoctest: +SKIP("distributed") 2024-08-20T21:40:32.9116885Z >>> # On worker 0: 2024-08-20T21:40:32.9116996Z >>> import torch 2024-08-20T21:40:32.9117162Z >>> import torch.distributed.rpc as rpc 2024-08-20T21:40:32.9117318Z >>> from torch import nn, Tensor 2024-08-20T21:40:32.9117617Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2024-08-20T21:40:32.9117714Z >>> 2024-08-20T21:40:32.9117913Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2024-08-20T21:40:32.9118055Z >>> remote_module = RemoteModule( 2024-08-20T21:40:32.9118227Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2024-08-20T21:40:32.9118337Z >>> ) 2024-08-20T21:40:32.9118433Z >>> 2024-08-20T21:40:32.9118576Z >>> remote_module1 = rpc.rpc_sync( 2024-08-20T21:40:32.9118733Z >>> "worker1/cpu", 2024-08-20T21:40:32.9118895Z >>> RemoteModule.init_from_module_rref, 2024-08-20T21:40:32.9119099Z >>> ("worker1/cpu", remote_module1.get_module_rref()), 2024-08-20T21:40:32.9119208Z >>> ) 2024-08-20T21:40:32.9119321Z >>> rpc.shutdown() 2024-08-20T21:40:32.9119425Z 2024-08-20T21:40:32.9119533Z >>> # On worker 1: 2024-08-20T21:40:32.9119643Z >>> import torch 2024-08-20T21:40:32.9119822Z >>> import torch.distributed.rpc as rpc 2024-08-20T21:40:32.9119916Z >>> 2024-08-20T21:40:32.9120096Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2024-08-20T21:40:32.9120225Z >>> rpc.shutdown() 2024-08-20T21:40:32.9120318Z 2024-08-20T21:40:32.9120413Z Args: 2024-08-20T21:40:32.9120934Z remote_device (str): Device on the destination worker where we'd like to place this module. 2024-08-20T21:40:32.9121363Z The device can be a local device or a remote device specified by one of the following remote 2024-08-20T21:40:32.9121469Z formats: 2024-08-20T21:40:32.9121574Z 2024-08-20T21:40:32.9121765Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2024-08-20T21:40:32.9121967Z 2. "/" (ex: "trainer0/cuda:0"). 2024-08-20T21:40:32.9122073Z 2024-08-20T21:40:32.9122418Z In addition, the device field can be optional and the default value is "cpu". 2024-08-20T21:40:32.9122779Z module_rref (RRef[nn.Module]): The module reference shared by both the caller and 2024-08-20T21:40:32.9122913Z the created remote module. 2024-08-20T21:40:32.9123287Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2024-08-20T21:40:32.9123667Z to be created. The type object should be decorated by @torch.jit.interface. 2024-08-20T21:40:32.9124047Z If not provided, the generated RemoteModule is not torchscript-able. 2024-08-20T21:40:32.9124378Z Warning, this is an experimental API and susceptible to frequent changes. 2024-08-20T21:40:32.9124482Z 2024-08-20T21:40:32.9124581Z Returns: 2024-08-20T21:40:32.9124911Z A remote module instance which wraps the :class:`~nn.Module` created by the 2024-08-20T21:40:32.9125317Z user-provided ``module_rref``, it has a blocking ``forward`` method and an 2024-08-20T21:40:32.9125844Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2024-08-20T21:40:32.9126117Z on the user-provided module on the remote side. 2024-08-20T21:40:32.9126252Z 2024-08-20T21:40:32.9126813Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9126925Z 2024-08-20T21:40:32.9127041Z warnings.warn(msg) 2024-08-20T21:40:32.9127132Z 2024-08-20T21:40:32.9127368Z --- Parse Warning: 47 / 101 --- 2024-08-20T21:40:32.9128877Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RemoteModule in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=606. 2024-08-20T21:40:32.9129297Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9129405Z 2024-08-20T21:40:32.9129710Z A RemoteModule instance can only be created after RPC initialization. 2024-08-20T21:40:32.9129800Z 2024-08-20T21:40:32.9130154Z It creates a user-specified module on a specified remote node. 2024-08-20T21:40:32.9130492Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2024-08-20T21:40:32.9130641Z executed on the remote node. 2024-08-20T21:40:32.9130970Z It takes care of autograd recording to ensure the backward pass propagates 2024-08-20T21:40:32.9131177Z gradients back to the corresponding remote module. 2024-08-20T21:40:32.9131282Z 2024-08-20T21:40:32.9131621Z It generates two methods ``forward_async`` and ``forward`` based on the 2024-08-20T21:40:32.9131920Z signature of the ``forward`` method of ``module_cls``. ``forward_async`` 2024-08-20T21:40:32.9132274Z runs asynchronously and returns a Future. The arguments of ``forward_async`` 2024-08-20T21:40:32.9132548Z and ``forward`` are the same as the ``forward`` method of the module 2024-08-20T21:40:32.9132682Z returned by the ``module_cls``. 2024-08-20T21:40:32.9132789Z 2024-08-20T21:40:32.9133068Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2024-08-20T21:40:32.9133505Z that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``, 2024-08-20T21:40:32.9133827Z the generated ``RemoteModule`` will have 2 methods with the signatures: 2024-08-20T21:40:32.9133918Z 2024-08-20T21:40:32.9134153Z | ``def forward(input: Tensor) -> Tensor:`` 2024-08-20T21:40:32.9134435Z | ``def forward_async(input: Tensor) -> Future[Tensor]:`` 2024-08-20T21:40:32.9134530Z 2024-08-20T21:40:32.9134642Z Args: 2024-08-20T21:40:32.9135139Z remote_device (str): Device on the destination worker where we'd like to place this module. 2024-08-20T21:40:32.9135612Z The format should be "/", where the device field can be parsed as torch.device type. 2024-08-20T21:40:32.9135819Z E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0". 2024-08-20T21:40:32.9136166Z In addition, the device field can be optional and the default value is "cpu". 2024-08-20T21:40:32.9136522Z module_cls (nn.Module): Class for the module to be created remotely. For example, 2024-08-20T21:40:32.9136672Z 2024-08-20T21:40:32.9136812Z >>> class MyModule(nn.Module): 2024-08-20T21:40:32.9136953Z >>> def forward(input): 2024-08-20T21:40:32.9137082Z >>> return input + 1 2024-08-20T21:40:32.9137180Z >>> 2024-08-20T21:40:32.9137322Z >>> module_cls = MyModule 2024-08-20T21:40:32.9137413Z 2024-08-20T21:40:32.9137677Z args (Sequence, optional): args to be passed to ``module_cls``. 2024-08-20T21:40:32.9137949Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2024-08-20T21:40:32.9138041Z 2024-08-20T21:40:32.9138142Z Returns: 2024-08-20T21:40:32.9138485Z A remote module instance which wraps the :class:`~nn.Module` created by the 2024-08-20T21:40:32.9138874Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2024-08-20T21:40:32.9139285Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2024-08-20T21:40:32.9139555Z on the user-provided module on the remote side. 2024-08-20T21:40:32.9139648Z 2024-08-20T21:40:32.9139754Z Example:: 2024-08-20T21:40:32.9139973Z Run the following code in two different processes: 2024-08-20T21:40:32.9140066Z 2024-08-20T21:40:32.9140216Z >>> # xdoctest: +SKIP("distributed") 2024-08-20T21:40:32.9140345Z >>> # On worker 0: 2024-08-20T21:40:32.9140528Z >>> import torch 2024-08-20T21:40:32.9140710Z >>> import torch.distributed.rpc as rpc 2024-08-20T21:40:32.9140941Z >>> from torch import nn, Tensor 2024-08-20T21:40:32.9141237Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2024-08-20T21:40:32.9141349Z >>> 2024-08-20T21:40:32.9141530Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2024-08-20T21:40:32.9141692Z >>> remote_linear_module = RemoteModule( 2024-08-20T21:40:32.9141881Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2024-08-20T21:40:32.9141981Z >>> ) 2024-08-20T21:40:32.9142123Z >>> input = torch.randn(128, 20) 2024-08-20T21:40:32.9142349Z >>> ret_fut = remote_linear_module.forward_async(input) 2024-08-20T21:40:32.9142468Z >>> ret = ret_fut.wait() 2024-08-20T21:40:32.9142583Z >>> rpc.shutdown() 2024-08-20T21:40:32.9142722Z 2024-08-20T21:40:32.9142832Z >>> # On worker 1: 2024-08-20T21:40:32.9142941Z >>> import torch 2024-08-20T21:40:32.9143121Z >>> import torch.distributed.rpc as rpc 2024-08-20T21:40:32.9143217Z >>> 2024-08-20T21:40:32.9143399Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2024-08-20T21:40:32.9143524Z >>> rpc.shutdown() 2024-08-20T21:40:32.9143614Z 2024-08-20T21:40:32.9143879Z Furthermore, a more practical example that is combined with 2024-08-20T21:40:32.9144510Z `DistributedDataParallel `__ (DDP) 2024-08-20T21:40:32.9144970Z can be found in this `tutorial `__. 2024-08-20T21:40:32.9145078Z 2024-08-20T21:40:32.9145498Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9145593Z 2024-08-20T21:40:32.9145722Z warnings.warn(msg) 2024-08-20T21:40:32.9145814Z 2024-08-20T21:40:32.9146031Z --- Parse Warning: 48 / 101 --- 2024-08-20T21:40:32.9147563Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_CustomReducer in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py line=28. 2024-08-20T21:40:32.9147983Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9148089Z 2024-08-20T21:40:32.9148407Z Custom reducer class that can be used to specify a custom operation that 2024-08-20T21:40:32.9148635Z reduces losses of multiple microbatches into one value. 2024-08-20T21:40:32.9148770Z 2024-08-20T21:40:32.9148873Z Example: 2024-08-20T21:40:32.9148989Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.9149140Z >>> sum_reducer = _CustomReducer( 2024-08-20T21:40:32.9149258Z >>> torch.tensor(0.0), 2024-08-20T21:40:32.9149378Z >>> lambda a, b: a + b 2024-08-20T21:40:32.9149484Z >>> ) 2024-08-20T21:40:32.9149574Z 2024-08-20T21:40:32.9149980Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9150085Z 2024-08-20T21:40:32.9150199Z warnings.warn(msg) 2024-08-20T21:40:32.9150289Z 2024-08-20T21:40:32.9150517Z --- Parse Warning: 49 / 101 --- 2024-08-20T21:40:32.9152030Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_execution in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/functions.py line=6. 2024-08-20T21:40:32.9152471Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9152566Z 2024-08-20T21:40:32.9152912Z A decorator for a function indicating that the return value of the function 2024-08-20T21:40:32.9153216Z is guaranteed to be a :class:`~torch.futures.Future` object and this 2024-08-20T21:40:32.9153544Z function can run asynchronously on the RPC callee. More specifically, the 2024-08-20T21:40:32.9153865Z callee extracts the :class:`~torch.futures.Future` returned by the wrapped 2024-08-20T21:40:32.9154187Z function and installs subsequent processing steps as a callback to that 2024-08-20T21:40:32.9154508Z :class:`~torch.futures.Future`. The installed callback will read the value 2024-08-20T21:40:32.9154792Z from the :class:`~torch.futures.Future` when completed and send the 2024-08-20T21:40:32.9155053Z value back as the RPC response. That also means the returned 2024-08-20T21:40:32.9155374Z :class:`~torch.futures.Future` only exists on the callee side and is never 2024-08-20T21:40:32.9155732Z sent through RPC. This decorator is useful when the wrapped function's 2024-08-20T21:40:32.9156004Z (``fn``) execution needs to pause and resume due to, e.g., containing 2024-08-20T21:40:32.9156310Z :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals. 2024-08-20T21:40:32.9156448Z 2024-08-20T21:40:32.9156739Z .. note:: To enable asynchronous execution, applications must pass the 2024-08-20T21:40:32.9157055Z function object returned by this decorator to RPC APIs. If RPC detected 2024-08-20T21:40:32.9157360Z attributes installed by this decorator, it knows that this function 2024-08-20T21:40:32.9157609Z returns a ``Future`` object and will handle that accordingly. 2024-08-20T21:40:32.9157905Z However, this does not mean this decorator has to be outmost one when 2024-08-20T21:40:32.9158227Z defining a function. For example, when combined with ``@staticmethod`` 2024-08-20T21:40:32.9158518Z or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the 2024-08-20T21:40:32.9158837Z inner decorator to allow the target function be recognized as a static 2024-08-20T21:40:32.9159150Z or class function. This target function can still execute asynchronously 2024-08-20T21:40:32.9159463Z because, when accessed, the static or class method preserves attributes 2024-08-20T21:40:32.9159673Z installed by ``@rpc.functions.async_execution``. 2024-08-20T21:40:32.9159764Z 2024-08-20T21:40:32.9159857Z 2024-08-20T21:40:32.9159972Z Example:: 2024-08-20T21:40:32.9160249Z The returned :class:`~torch.futures.Future` object can come from 2024-08-20T21:40:32.9160420Z :meth:`~torch.distributed.rpc.rpc_async`, 2024-08-20T21:40:32.9160737Z :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future` 2024-08-20T21:40:32.9160973Z constructor. The example below shows directly using the 2024-08-20T21:40:32.9161186Z :class:`~torch.futures.Future` returned by 2024-08-20T21:40:32.9161341Z :meth:`~torch.futures.Future.then`. 2024-08-20T21:40:32.9161432Z 2024-08-20T21:40:32.9161603Z >>> from torch.distributed import rpc 2024-08-20T21:40:32.9161699Z >>> 2024-08-20T21:40:32.9161855Z >>> # omitting setup and shutdown RPC 2024-08-20T21:40:32.9161961Z >>> 2024-08-20T21:40:32.9162074Z >>> # On all workers 2024-08-20T21:40:32.9162219Z >>> @rpc.functions.async_execution 2024-08-20T21:40:32.9162382Z >>> def async_add_chained(to, x, y, z): 2024-08-20T21:40:32.9162648Z >>> # This function runs on "worker1" and returns immediately when 2024-08-20T21:40:32.9162911Z >>> # the callback is installed through the `then(cb)` API. In the 2024-08-20T21:40:32.9163185Z >>> # mean time, the `rpc_async` to "worker2" can run concurrently. 2024-08-20T21:40:32.9163459Z >>> # When the return value of that `rpc_async` arrives at 2024-08-20T21:40:32.9163714Z >>> # "worker1", "worker1" will run the lambda function accordingly 2024-08-20T21:40:32.9163997Z >>> # and set the value for the previously returned `Future`, which 2024-08-20T21:40:32.9164253Z >>> # will then trigger RPC to send the result back to "worker0". 2024-08-20T21:40:32.9164496Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-08-20T21:40:32.9164644Z >>> lambda fut: fut.wait() + z 2024-08-20T21:40:32.9164747Z >>> ) 2024-08-20T21:40:32.9164855Z >>> 2024-08-20T21:40:32.9164964Z >>> # On worker0 2024-08-20T21:40:32.9165082Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.9165211Z >>> ret = rpc.rpc_sync( 2024-08-20T21:40:32.9165318Z >>> "worker1", 2024-08-20T21:40:32.9165438Z >>> async_add_chained, 2024-08-20T21:40:32.9165614Z >>> args=("worker2", torch.ones(2), 1, 1) 2024-08-20T21:40:32.9165714Z >>> ) 2024-08-20T21:40:32.9165872Z >>> print(ret) # prints tensor([3., 3.]) 2024-08-20T21:40:32.9165976Z 2024-08-20T21:40:32.9166283Z When combined with TorchScript decorators, this decorator must be the 2024-08-20T21:40:32.9166389Z outmost one. 2024-08-20T21:40:32.9166493Z 2024-08-20T21:40:32.9166650Z >>> from torch import Tensor 2024-08-20T21:40:32.9166801Z >>> from torch.futures import Future 2024-08-20T21:40:32.9166972Z >>> from torch.distributed import rpc 2024-08-20T21:40:32.9167065Z >>> 2024-08-20T21:40:32.9167227Z >>> # omitting setup and shutdown RPC 2024-08-20T21:40:32.9167321Z >>> 2024-08-20T21:40:32.9167433Z >>> # On all workers 2024-08-20T21:40:32.9167563Z >>> @torch.jit.script 2024-08-20T21:40:32.9167831Z >>> def script_add(x: Tensor, y: Tensor) -> Tensor: 2024-08-20T21:40:32.9167942Z >>> return x + y 2024-08-20T21:40:32.9168049Z >>> 2024-08-20T21:40:32.9168198Z >>> @rpc.functions.async_execution 2024-08-20T21:40:32.9168317Z >>> @torch.jit.script 2024-08-20T21:40:32.9168672Z >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]: 2024-08-20T21:40:32.9168862Z >>> return rpc.rpc_async(to, script_add, (x, y)) 2024-08-20T21:40:32.9168959Z >>> 2024-08-20T21:40:32.9169078Z >>> # On worker0 2024-08-20T21:40:32.9169196Z >>> ret = rpc.rpc_sync( 2024-08-20T21:40:32.9169302Z >>> "worker1", 2024-08-20T21:40:32.9169424Z >>> async_add, 2024-08-20T21:40:32.9169577Z >>> args=("worker2", torch.ones(2), 1) 2024-08-20T21:40:32.9169673Z >>> ) 2024-08-20T21:40:32.9169845Z >>> print(ret) # prints tensor([2., 2.]) 2024-08-20T21:40:32.9169935Z 2024-08-20T21:40:32.9170238Z When combined with static or class method, this decorator must be the 2024-08-20T21:40:32.9170360Z inner one. 2024-08-20T21:40:32.9170454Z 2024-08-20T21:40:32.9170629Z >>> from torch.distributed import rpc 2024-08-20T21:40:32.9170751Z >>> 2024-08-20T21:40:32.9170903Z >>> # omitting setup and shutdown RPC 2024-08-20T21:40:32.9171011Z >>> 2024-08-20T21:40:32.9171123Z >>> # On all workers 2024-08-20T21:40:32.9171263Z >>> class AsyncExecutionClass: 2024-08-20T21:40:32.9171375Z >>> 2024-08-20T21:40:32.9171488Z >>> @staticmethod 2024-08-20T21:40:32.9171644Z >>> @rpc.functions.async_execution 2024-08-20T21:40:32.9171815Z >>> def static_async_add(to, x, y, z): 2024-08-20T21:40:32.9172046Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-08-20T21:40:32.9172196Z >>> lambda fut: fut.wait() + z 2024-08-20T21:40:32.9172312Z >>> ) 2024-08-20T21:40:32.9172407Z >>> 2024-08-20T21:40:32.9172517Z >>> @classmethod 2024-08-20T21:40:32.9172685Z >>> @rpc.functions.async_execution 2024-08-20T21:40:32.9172903Z >>> def class_async_add(cls, to, x, y, z): 2024-08-20T21:40:32.9173073Z >>> ret_fut = torch.futures.Future() 2024-08-20T21:40:32.9173290Z >>> rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-08-20T21:40:32.9173497Z >>> lambda fut: ret_fut.set_result(fut.wait() + z) 2024-08-20T21:40:32.9173616Z >>> ) 2024-08-20T21:40:32.9173734Z >>> return ret_fut 2024-08-20T21:40:32.9173830Z >>> 2024-08-20T21:40:32.9173995Z >>> @rpc.functions.async_execution 2024-08-20T21:40:32.9174163Z >>> def bound_async_add(self, to, x, y, z): 2024-08-20T21:40:32.9174393Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-08-20T21:40:32.9174557Z >>> lambda fut: fut.wait() + z 2024-08-20T21:40:32.9174659Z >>> ) 2024-08-20T21:40:32.9174754Z >>> 2024-08-20T21:40:32.9174878Z >>> # On worker0 2024-08-20T21:40:32.9175000Z >>> ret = rpc.rpc_sync( 2024-08-20T21:40:32.9175110Z >>> "worker1", 2024-08-20T21:40:32.9175310Z >>> AsyncExecutionClass.static_async_add, 2024-08-20T21:40:32.9175472Z >>> args=("worker2", torch.ones(2), 1, 2) 2024-08-20T21:40:32.9175567Z >>> ) 2024-08-20T21:40:32.9175739Z >>> print(ret) # prints tensor([4., 4.]) 2024-08-20T21:40:32.9175865Z >>> 2024-08-20T21:40:32.9175982Z >>> ret = rpc.rpc_sync( 2024-08-20T21:40:32.9176102Z >>> "worker1", 2024-08-20T21:40:32.9176281Z >>> AsyncExecutionClass.class_async_add, 2024-08-20T21:40:32.9176454Z >>> args=("worker2", torch.ones(2), 1, 2) 2024-08-20T21:40:32.9176553Z >>> ) 2024-08-20T21:40:32.9176708Z >>> print(ret) # prints tensor([4., 4.]) 2024-08-20T21:40:32.9176813Z 2024-08-20T21:40:32.9177029Z This decorator also works with RRef helpers, i.e., . 2024-08-20T21:40:32.9177221Z :meth:`torch.distributed.rpc.RRef.rpc_sync`, 2024-08-20T21:40:32.9177448Z :meth:`torch.distributed.rpc.RRef.rpc_async`, and 2024-08-20T21:40:32.9177636Z :meth:`torch.distributed.rpc.RRef.remote`. 2024-08-20T21:40:32.9177728Z 2024-08-20T21:40:32.9177899Z >>> from torch.distributed import rpc 2024-08-20T21:40:32.9177995Z >>> 2024-08-20T21:40:32.9178182Z >>> # reuse the AsyncExecutionClass class above 2024-08-20T21:40:32.9178405Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2024-08-20T21:40:32.9178693Z >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2) 2024-08-20T21:40:32.9178848Z >>> print(ret) # prints tensor([4., 4.]) 2024-08-20T21:40:32.9178959Z >>> 2024-08-20T21:40:32.9179168Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2024-08-20T21:40:32.9179506Z >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait() 2024-08-20T21:40:32.9179658Z >>> print(ret) # prints tensor([4., 4.]) 2024-08-20T21:40:32.9179759Z >>> 2024-08-20T21:40:32.9180007Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2024-08-20T21:40:32.9180331Z >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here() 2024-08-20T21:40:32.9180575Z >>> print(ret) # prints tensor([4., 4.]) 2024-08-20T21:40:32.9180685Z 2024-08-20T21:40:32.9181117Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9181208Z 2024-08-20T21:40:32.9181336Z warnings.warn(msg) 2024-08-20T21:40:32.9181427Z 2024-08-20T21:40:32.9181644Z --- Parse Warning: 50 / 101 --- 2024-08-20T21:40:32.9183311Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/rpc/options.py line=108. 2024-08-20T21:40:32.9183789Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9183904Z 2024-08-20T21:40:32.9184180Z Set device mapping between each RPC caller and callee pair. This 2024-08-20T21:40:32.9184429Z function can be called multiple times to incrementally add 2024-08-20T21:40:32.9184580Z device placement configurations. 2024-08-20T21:40:32.9184674Z 2024-08-20T21:40:32.9184770Z Args: 2024-08-20T21:40:32.9184902Z to (str): Callee name. 2024-08-20T21:40:32.9185172Z device_map (Dict of int, str, or torch.device): Device placement 2024-08-20T21:40:32.9185415Z mappings from this worker to the callee. This map must be 2024-08-20T21:40:32.9185538Z invertible. 2024-08-20T21:40:32.9185630Z 2024-08-20T21:40:32.9185729Z Example: 2024-08-20T21:40:32.9185894Z >>> # xdoctest: +SKIP("distributed") 2024-08-20T21:40:32.9186005Z >>> # both workers 2024-08-20T21:40:32.9186117Z >>> def add(x, y): 2024-08-20T21:40:32.9186386Z >>> print(x) # tensor([1., 1.], device='cuda:1') 2024-08-20T21:40:32.9186526Z >>> return x + y, (x + y).to(2) 2024-08-20T21:40:32.9186635Z >>> 2024-08-20T21:40:32.9186745Z >>> # on worker 0 2024-08-20T21:40:32.9186927Z >>> options = TensorPipeRpcBackendOptions( 2024-08-20T21:40:32.9187068Z >>> num_worker_threads=8, 2024-08-20T21:40:32.9187243Z >>> device_maps={"worker1": {0: 1}} 2024-08-20T21:40:32.9187493Z >>> # maps worker0's cuda:0 to worker1's cuda:1 2024-08-20T21:40:32.9187602Z >>> ) 2024-08-20T21:40:32.9187772Z >>> options.set_device_map("worker1", {1: 2}) 2024-08-20T21:40:32.9188006Z >>> # maps worker0's cuda:1 to worker1's cuda:2 2024-08-20T21:40:32.9188114Z >>> 2024-08-20T21:40:32.9188225Z >>> rpc.init_rpc( 2024-08-20T21:40:32.9188331Z >>> "worker0", 2024-08-20T21:40:32.9188448Z >>> rank=0, 2024-08-20T21:40:32.9188558Z >>> world_size=2, 2024-08-20T21:40:32.9188734Z >>> backend=rpc.BackendType.TENSORPIPE, 2024-08-20T21:40:32.9188890Z >>> rpc_backend_options=options 2024-08-20T21:40:32.9188986Z >>> ) 2024-08-20T21:40:32.9189080Z >>> 2024-08-20T21:40:32.9189208Z >>> x = torch.ones(2) 2024-08-20T21:40:32.9189425Z >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1)) 2024-08-20T21:40:32.9189686Z >>> # The first argument will be moved to cuda:1 on worker1. When 2024-08-20T21:40:32.9189952Z >>> # sending the return value back, it will follow the invert of 2024-08-20T21:40:32.9190202Z >>> # the device map, and hence will be moved back to cuda:0 and 2024-08-20T21:40:32.9190330Z >>> # cuda:1 on worker0 2024-08-20T21:40:32.9190598Z >>> print(rets[0]) # tensor([2., 2.], device='cuda:0') 2024-08-20T21:40:32.9190860Z >>> print(rets[1]) # tensor([2., 2.], device='cuda:1') 2024-08-20T21:40:32.9191002Z 2024-08-20T21:40:32.9191414Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9191561Z 2024-08-20T21:40:32.9191690Z warnings.warn(msg) 2024-08-20T21:40:32.9191781Z 2024-08-20T21:40:32.9191999Z --- Parse Warning: 51 / 101 --- 2024-08-20T21:40:32.9193576Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInput in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=378. 2024-08-20T21:40:32.9193999Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9194104Z 2024-08-20T21:40:32.9194753Z Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to 2024-08-20T21:40:32.9195180Z ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``. 2024-08-20T21:40:32.9195288Z 2024-08-20T21:40:32.9195444Z Keyword Args: 2024-08-20T21:40:32.9195702Z input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2024-08-20T21:40:32.9196184Z The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to 2024-08-20T21:40:32.9196703Z DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified 2024-08-20T21:40:32.9196860Z as a placeholder. default: None. 2024-08-20T21:40:32.9197169Z desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2024-08-20T21:40:32.9197708Z The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module 2024-08-20T21:40:32.9198275Z have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None. 2024-08-20T21:40:32.9198445Z input_kwarg_layouts (Dict[str, Placement]): 2024-08-20T21:40:32.9198992Z The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors. 2024-08-20T21:40:32.9199118Z default: None 2024-08-20T21:40:32.9199325Z desired_input_kwarg_layouts: (Dict[str, Placement]): 2024-08-20T21:40:32.9199861Z The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module 2024-08-20T21:40:32.9200103Z have the desired DTensor layouts. default: None. 2024-08-20T21:40:32.9200247Z use_local_output (bool, optional): 2024-08-20T21:40:32.9200768Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False. 2024-08-20T21:40:32.9200868Z Returns: 2024-08-20T21:40:32.9201389Z A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs. 2024-08-20T21:40:32.9201495Z 2024-08-20T21:40:32.9201602Z Example:: 2024-08-20T21:40:32.9201737Z >>> # xdoctest: +SKIP(failing) 2024-08-20T21:40:32.9202173Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput 2024-08-20T21:40:32.9202429Z >>> from torch.distributed.device_mesh import init_device_mesh 2024-08-20T21:40:32.9202527Z >>> ... 2024-08-20T21:40:32.9202969Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2024-08-20T21:40:32.9203138Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2024-08-20T21:40:32.9203248Z >>> 2024-08-20T21:40:32.9203721Z >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor 2024-08-20T21:40:32.9203919Z >>> # and then redistributed to Replicated DTensor. 2024-08-20T21:40:32.9204055Z >>> parallelize_module( 2024-08-20T21:40:32.9204240Z >>> block, # this can be a submodule or module 2024-08-20T21:40:32.9204345Z >>> tp_mesh, 2024-08-20T21:40:32.9204485Z >>> parallelize_plan={ 2024-08-20T21:40:32.9204676Z >>> "attn": PrepareModuleInput( 2024-08-20T21:40:32.9204866Z >>> input_layouts=(Shard(0), None, None, ...), 2024-08-20T21:40:32.9205107Z >>> desired_input_layouts=(Replicate(), None, None, ...) 2024-08-20T21:40:32.9205209Z >>> ), 2024-08-20T21:40:32.9205309Z >>> } 2024-08-20T21:40:32.9205417Z >>> ) 2024-08-20T21:40:32.9205508Z 2024-08-20T21:40:32.9205918Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9206022Z 2024-08-20T21:40:32.9206136Z warnings.warn(msg) 2024-08-20T21:40:32.9206227Z 2024-08-20T21:40:32.9206455Z --- Parse Warning: 52 / 101 --- 2024-08-20T21:40:32.9208075Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleOutput in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=533. 2024-08-20T21:40:32.9208514Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9208605Z 2024-08-20T21:40:32.9209266Z Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to 2024-08-20T21:40:32.9209719Z ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``. 2024-08-20T21:40:32.9209812Z 2024-08-20T21:40:32.9209916Z Keyword Args: 2024-08-20T21:40:32.9210144Z output_layouts (Union[Placement, Tuple[Placement]]): 2024-08-20T21:40:32.9210625Z The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to 2024-08-20T21:40:32.9211188Z DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors, 2024-08-20T21:40:32.9211384Z ``None`` need to be specified as a placeholder. 2024-08-20T21:40:32.9211638Z desired_output_layouts (Union[Placement, Tuple[Placement]]): 2024-08-20T21:40:32.9212206Z The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module 2024-08-20T21:40:32.9212361Z have the desired DTensor layouts. 2024-08-20T21:40:32.9212535Z use_local_output (bool, optional): 2024-08-20T21:40:32.9213057Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True. 2024-08-20T21:40:32.9213157Z Returns: 2024-08-20T21:40:32.9213638Z A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs. 2024-08-20T21:40:32.9213744Z 2024-08-20T21:40:32.9213848Z Example:: 2024-08-20T21:40:32.9213994Z >>> # xdoctest: +SKIP(failing) 2024-08-20T21:40:32.9214416Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput 2024-08-20T21:40:32.9214676Z >>> from torch.distributed.device_mesh import init_device_mesh 2024-08-20T21:40:32.9214791Z >>> ... 2024-08-20T21:40:32.9215217Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2024-08-20T21:40:32.9215383Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2024-08-20T21:40:32.9215497Z >>> 2024-08-20T21:40:32.9216053Z >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor 2024-08-20T21:40:32.9216240Z >>> # and then redistributed to Sharded DTensor. 2024-08-20T21:40:32.9216376Z >>> parallelize_module( 2024-08-20T21:40:32.9216563Z >>> block, # this can be a submodule or module 2024-08-20T21:40:32.9216668Z >>> tp_mesh, 2024-08-20T21:40:32.9216870Z >>> parallelize_plan = PrepareModuleOutput( 2024-08-20T21:40:32.9217025Z >>> output_layouts=Replicate(), 2024-08-20T21:40:32.9217197Z >>> desired_output_layouts=Shard(0) 2024-08-20T21:40:32.9217325Z >>> ) 2024-08-20T21:40:32.9217422Z >>> ) 2024-08-20T21:40:32.9217526Z 2024-08-20T21:40:32.9217939Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9218034Z 2024-08-20T21:40:32.9218164Z warnings.warn(msg) 2024-08-20T21:40:32.9218254Z 2024-08-20T21:40:32.9218472Z --- Parse Warning: 53 / 101 --- 2024-08-20T21:40:32.9220068Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assoc_in in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=230. 2024-08-20T21:40:32.9220582Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9220847Z Return a new dict with new, potentially nested, key value pair 2024-08-20T21:40:32.9220953Z 2024-08-20T21:40:32.9221199Z >>> purchase = {'name': 'Alice', 2024-08-20T21:40:32.9221461Z ... 'order': {'items': ['Apple', 'Orange'], 2024-08-20T21:40:32.9221681Z ... 'costs': [0.50, 1.25]}, 2024-08-20T21:40:32.9221913Z ... 'credit card': '5555-1234-1234-1234'} 2024-08-20T21:40:32.9222288Z >>> assoc_in(purchase, ['order', 'costs'], [0.25, 1.00]) # doctest: +SKIP 2024-08-20T21:40:32.9222483Z {'credit card': '5555-1234-1234-1234', 2024-08-20T21:40:32.9222628Z 'name': 'Alice', 2024-08-20T21:40:32.9222947Z 'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}} 2024-08-20T21:40:32.9223043Z 2024-08-20T21:40:32.9223448Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9223554Z 2024-08-20T21:40:32.9223669Z warnings.warn(msg) 2024-08-20T21:40:32.9223760Z 2024-08-20T21:40:32.9223987Z --- Parse Warning: 54 / 101 --- 2024-08-20T21:40:32.9225575Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=update_in in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=245. 2024-08-20T21:40:32.9226192Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9226450Z Update value in a (potentially) nested dictionary 2024-08-20T21:40:32.9226540Z 2024-08-20T21:40:32.9226654Z inputs: 2024-08-20T21:40:32.9226855Z d - dictionary on which to operate 2024-08-20T21:40:32.9227239Z keys - list or tuple giving the location of the value to be changed in d 2024-08-20T21:40:32.9227468Z func - function to operate on that value 2024-08-20T21:40:32.9227558Z 2024-08-20T21:40:32.9227853Z If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the 2024-08-20T21:40:32.9228183Z original dictionary with v replaced by func(v), but does not mutate the 2024-08-20T21:40:32.9228305Z original dictionary. 2024-08-20T21:40:32.9228395Z 2024-08-20T21:40:32.9228731Z If k0 is not a key in d, update_in creates nested dictionaries to the depth 2024-08-20T21:40:32.9229030Z specified by the keys, with the innermost value set to func(default). 2024-08-20T21:40:32.9229141Z 2024-08-20T21:40:32.9229261Z >>> inc = lambda x: x + 1 2024-08-20T21:40:32.9229447Z >>> update_in({'a': 0}, ['a'], inc) 2024-08-20T21:40:32.9229590Z {'a': 1} 2024-08-20T21:40:32.9229678Z 2024-08-20T21:40:32.9229865Z >>> transaction = {'name': 'Alice', 2024-08-20T21:40:32.9230138Z ... 'purchase': {'items': ['Apple', 'Orange'], 2024-08-20T21:40:32.9230368Z ... 'costs': [0.50, 1.25]}, 2024-08-20T21:40:32.9230606Z ... 'credit card': '5555-1234-1234-1234'} 2024-08-20T21:40:32.9230981Z >>> update_in(transaction, ['purchase', 'costs'], sum) # doctest: +SKIP 2024-08-20T21:40:32.9231226Z {'credit card': '5555-1234-1234-1234', 2024-08-20T21:40:32.9231368Z 'name': 'Alice', 2024-08-20T21:40:32.9231669Z 'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}} 2024-08-20T21:40:32.9231763Z 2024-08-20T21:40:32.9231926Z >>> # updating a value when k0 is not in d 2024-08-20T21:40:32.9232112Z >>> update_in({}, [1, 2, 3], str, default="bar") 2024-08-20T21:40:32.9232260Z {1: {2: {3: 'bar'}}} 2024-08-20T21:40:32.9232484Z >>> update_in({1: 'foo'}, [2, 3, 4], inc, 0) 2024-08-20T21:40:32.9232642Z {1: 'foo', 2: {3: {4: 1}}} 2024-08-20T21:40:32.9232737Z 2024-08-20T21:40:32.9233156Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9233248Z 2024-08-20T21:40:32.9233362Z warnings.warn(msg) 2024-08-20T21:40:32.9233466Z 2024-08-20T21:40:32.9233681Z --- Parse Warning: 55 / 101 --- 2024-08-20T21:40:32.9235324Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_in in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=303. 2024-08-20T21:40:32.9235765Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9235986Z Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys. 2024-08-20T21:40:32.9236077Z 2024-08-20T21:40:32.9236358Z If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless 2024-08-20T21:40:32.9236629Z ``no_default`` is specified, then it raises KeyError or IndexError. 2024-08-20T21:40:32.9236732Z 2024-08-20T21:40:32.9237023Z ``get_in`` is a generalization of ``operator.getitem`` for nested data 2024-08-20T21:40:32.9237194Z structures such as dictionaries and lists. 2024-08-20T21:40:32.9237297Z 2024-08-20T21:40:32.9237486Z >>> transaction = {'name': 'Alice', 2024-08-20T21:40:32.9237753Z ... 'purchase': {'items': ['Apple', 'Orange'], 2024-08-20T21:40:32.9237999Z ... 'costs': [0.50, 1.25]}, 2024-08-20T21:40:32.9238235Z ... 'credit card': '5555-1234-1234-1234'} 2024-08-20T21:40:32.9238473Z >>> get_in(['purchase', 'items', 0], transaction) 2024-08-20T21:40:32.9238658Z 'Apple' 2024-08-20T21:40:32.9238840Z >>> get_in(['name'], transaction) 2024-08-20T21:40:32.9238965Z 'Alice' 2024-08-20T21:40:32.9239206Z >>> get_in(['purchase', 'total'], transaction) 2024-08-20T21:40:32.9239468Z >>> get_in(['purchase', 'items', 'apple'], transaction) 2024-08-20T21:40:32.9239707Z >>> get_in(['purchase', 'items', 10], transaction) 2024-08-20T21:40:32.9239958Z >>> get_in(['purchase', 'total'], transaction, 0) 2024-08-20T21:40:32.9240054Z 0 2024-08-20T21:40:32.9240258Z >>> get_in(['y'], {}, no_default=True) 2024-08-20T21:40:32.9240407Z Traceback (most recent call last): 2024-08-20T21:40:32.9240507Z ... 2024-08-20T21:40:32.9240659Z KeyError: 'y' 2024-08-20T21:40:32.9240751Z 2024-08-20T21:40:32.9240852Z See Also: 2024-08-20T21:40:32.9240974Z itertoolz.get 2024-08-20T21:40:32.9241090Z operator.getitem 2024-08-20T21:40:32.9241188Z 2024-08-20T21:40:32.9241606Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9241697Z 2024-08-20T21:40:32.9241812Z warnings.warn(msg) 2024-08-20T21:40:32.9241915Z 2024-08-20T21:40:32.9242129Z --- Parse Warning: 56 / 101 --- 2024-08-20T21:40:32.9243706Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=groupby in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=355. 2024-08-20T21:40:32.9244145Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9244323Z Group a collection by a key function 2024-08-20T21:40:32.9244430Z 2024-08-20T21:40:32.9244737Z >>> names = ['Alice', 'Bob', 'Charlie', 'Dan', 'Edith', 'Frank'] 2024-08-20T21:40:32.9244898Z >>> groupby(len, names) # doctest: +SKIP 2024-08-20T21:40:32.9245221Z {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']} 2024-08-20T21:40:32.9245314Z 2024-08-20T21:40:32.9245450Z >>> iseven = lambda x: x % 2 == 0 2024-08-20T21:40:32.9245700Z >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8]) # doctest: +SKIP 2024-08-20T21:40:32.9245849Z {False: [1, 3, 5, 7], True: [2, 4, 6, 8]} 2024-08-20T21:40:32.9245940Z 2024-08-20T21:40:32.9246195Z Non-callable keys imply grouping on a member. 2024-08-20T21:40:32.9246288Z 2024-08-20T21:40:32.9246559Z >>> groupby('gender', [{'name': 'Alice', 'gender': 'F'}, 2024-08-20T21:40:32.9246857Z ... {'name': 'Bob', 'gender': 'M'}, 2024-08-20T21:40:32.9247161Z ... {'name': 'Charlie', 'gender': 'M'}]) # doctest:+SKIP 2024-08-20T21:40:32.9247366Z {'F': [{'gender': 'F', 'name': 'Alice'}], 2024-08-20T21:40:32.9247572Z 'M': [{'gender': 'M', 'name': 'Bob'}, 2024-08-20T21:40:32.9247779Z {'gender': 'M', 'name': 'Charlie'}]} 2024-08-20T21:40:32.9247886Z 2024-08-20T21:40:32.9248074Z Not to be confused with ``itertools.groupby`` 2024-08-20T21:40:32.9248166Z 2024-08-20T21:40:32.9248279Z See Also: 2024-08-20T21:40:32.9248378Z countby 2024-08-20T21:40:32.9248472Z 2024-08-20T21:40:32.9248895Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9248985Z 2024-08-20T21:40:32.9249098Z warnings.warn(msg) 2024-08-20T21:40:32.9249199Z 2024-08-20T21:40:32.9249411Z --- Parse Warning: 57 / 101 --- 2024-08-20T21:40:32.9250832Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=601. 2024-08-20T21:40:32.9251263Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9251548Z Applies Batch Normalization over a N-Dimensional input. 2024-08-20T21:40:32.9251670Z 2024-08-20T21:40:32.9252298Z The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper 2024-08-20T21:40:32.9252594Z `Batch Normalization: Accelerating Deep Network Training by Reducing 2024-08-20T21:40:32.9252886Z Internal Covariate Shift `__ . 2024-08-20T21:40:32.9252977Z 2024-08-20T21:40:32.9253084Z .. math:: 2024-08-20T21:40:32.9253186Z 2024-08-20T21:40:32.9253604Z y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta 2024-08-20T21:40:32.9253700Z 2024-08-20T21:40:32.9254106Z The mean and standard-deviation are calculated per-dimension over all 2024-08-20T21:40:32.9254502Z mini-batches of the same process groups. :math:`\gamma` and :math:`\beta` 2024-08-20T21:40:32.9254823Z are learnable parameter vectors of size `C` (where `C` is the input size). 2024-08-20T21:40:32.9255083Z By default, the elements of :math:`\gamma` are sampled from 2024-08-20T21:40:32.9255384Z :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0. 2024-08-20T21:40:32.9255820Z The standard-deviation is calculated via the biased estimator, equivalent to 2024-08-20T21:40:32.9255967Z `torch.var(input, unbiased=False)`. 2024-08-20T21:40:32.9256060Z 2024-08-20T21:40:32.9256392Z Also by default, during training this layer keeps running estimates of its 2024-08-20T21:40:32.9256707Z computed mean and variance, which are then used for normalization during 2024-08-20T21:40:32.9257037Z evaluation. The running estimates are kept with a default :attr:`momentum` 2024-08-20T21:40:32.9257181Z of 0.1. 2024-08-20T21:40:32.9257275Z 2024-08-20T21:40:32.9257588Z If :attr:`track_running_stats` is set to ``False``, this layer then does not 2024-08-20T21:40:32.9257894Z keep running estimates, and batch statistics are instead used during 2024-08-20T21:40:32.9258017Z evaluation time as well. 2024-08-20T21:40:32.9258107Z 2024-08-20T21:40:32.9258222Z .. note:: 2024-08-20T21:40:32.9258520Z This :attr:`momentum` argument is different from one used in optimizer 2024-08-20T21:40:32.9258834Z classes and the conventional notion of momentum. Mathematically, the 2024-08-20T21:40:32.9259010Z update rule for running statistics here is 2024-08-20T21:40:32.9259514Z :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`, 2024-08-20T21:40:32.9259875Z where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the 2024-08-20T21:40:32.9259995Z new observed value. 2024-08-20T21:40:32.9260081Z 2024-08-20T21:40:32.9260617Z Because the Batch Normalization is done for each channel in the ``C`` dimension, computing 2024-08-20T21:40:32.9261063Z statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch 2024-08-20T21:40:32.9261351Z Normalization or Spatio-temporal Batch Normalization. 2024-08-20T21:40:32.9261456Z 2024-08-20T21:40:32.9261642Z Currently :class:`SyncBatchNorm` only supports 2024-08-20T21:40:32.9262017Z :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use 2024-08-20T21:40:32.9262321Z :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert 2024-08-20T21:40:32.9262596Z :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping 2024-08-20T21:40:32.9262721Z Network with DDP. 2024-08-20T21:40:32.9262815Z 2024-08-20T21:40:32.9262913Z Args: 2024-08-20T21:40:32.9263149Z num_features: :math:`C` from an expected input of size 2024-08-20T21:40:32.9263261Z :math:`(N, C, +)` 2024-08-20T21:40:32.9263524Z eps: a value added to the denominator for numerical stability. 2024-08-20T21:40:32.9263734Z Default: ``1e-5`` 2024-08-20T21:40:32.9263991Z momentum: the value used for the running_mean and running_var 2024-08-20T21:40:32.9264270Z computation. Can be set to ``None`` for cumulative moving average 2024-08-20T21:40:32.9264441Z (i.e. simple average). Default: 0.1 2024-08-20T21:40:32.9264720Z affine: a boolean value that when set to ``True``, this module has 2024-08-20T21:40:32.9264934Z learnable affine parameters. Default: ``True`` 2024-08-20T21:40:32.9265220Z track_running_stats: a boolean value that when set to ``True``, this 2024-08-20T21:40:32.9265539Z module tracks the running mean and variance, and when set to ``False``, 2024-08-20T21:40:32.9265865Z this module does not track such statistics, and initializes statistics 2024-08-20T21:40:32.9266137Z buffers :attr:`running_mean` and :attr:`running_var` as ``None``. 2024-08-20T21:40:32.9266464Z When these buffers are ``None``, this module always uses batch statistics. 2024-08-20T21:40:32.9266685Z in both training and eval modes. Default: ``True`` 2024-08-20T21:40:32.9267010Z process_group: synchronization of stats happen within each process group 2024-08-20T21:40:32.9267306Z individually. Default behavior is synchronization across the whole 2024-08-20T21:40:32.9267419Z world 2024-08-20T21:40:32.9267504Z 2024-08-20T21:40:32.9267614Z Shape: 2024-08-20T21:40:32.9267789Z - Input: :math:`(N, C, +)` 2024-08-20T21:40:32.9268047Z - Output: :math:`(N, C, +)` (same shape as input) 2024-08-20T21:40:32.9268177Z 2024-08-20T21:40:32.9268280Z .. note:: 2024-08-20T21:40:32.9268607Z Synchronization of batchnorm statistics occurs only while training, i.e. 2024-08-20T21:40:32.9268883Z synchronization is disabled when ``model.eval()`` is set or if 2024-08-20T21:40:32.9269057Z ``self.training`` is otherwise ``False``. 2024-08-20T21:40:32.9269145Z 2024-08-20T21:40:32.9269261Z Examples:: 2024-08-20T21:40:32.9269349Z 2024-08-20T21:40:32.9269467Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.9269623Z >>> # With Learnable Parameters 2024-08-20T21:40:32.9269761Z >>> m = nn.SyncBatchNorm(100) 2024-08-20T21:40:32.9269920Z >>> # creating process group (optional) 2024-08-20T21:40:32.9270124Z >>> # ranks is a list of int identifying rank ids. 2024-08-20T21:40:32.9270247Z >>> ranks = list(range(8)) 2024-08-20T21:40:32.9270436Z >>> r1, r2 = ranks[:4], ranks[4:] 2024-08-20T21:40:32.9270653Z >>> # Note: every rank calls into new_group for every 2024-08-20T21:40:32.9270855Z >>> # process group created, even if that rank is not 2024-08-20T21:40:32.9270991Z >>> # part of the group. 2024-08-20T21:40:32.9271321Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2024-08-20T21:40:32.9271591Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2024-08-20T21:40:32.9271753Z >>> # Without Learnable Parameters 2024-08-20T21:40:32.9272038Z >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group) 2024-08-20T21:40:32.9272205Z >>> input = torch.randn(20, 100, 35, 45, 10) 2024-08-20T21:40:32.9272335Z >>> output = m(input) 2024-08-20T21:40:32.9272424Z 2024-08-20T21:40:32.9272575Z >>> # network is nn.BatchNorm layer 2024-08-20T21:40:32.9272960Z >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group) 2024-08-20T21:40:32.9273185Z >>> # only single gpu per process is currently supported 2024-08-20T21:40:32.9273502Z >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel( 2024-08-20T21:40:32.9273657Z >>> sync_bn_network, 2024-08-20T21:40:32.9273859Z >>> device_ids=[args.local_rank], 2024-08-20T21:40:32.9274049Z >>> output_device=args.local_rank) 2024-08-20T21:40:32.9274141Z 2024-08-20T21:40:32.9274551Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9274654Z 2024-08-20T21:40:32.9274765Z warnings.warn(msg) 2024-08-20T21:40:32.9274853Z 2024-08-20T21:40:32.9275079Z --- Parse Warning: 58 / 101 --- 2024-08-20T21:40:32.9276648Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=824. 2024-08-20T21:40:32.9277081Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9277510Z Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers. 2024-08-20T21:40:32.9277602Z 2024-08-20T21:40:32.9277712Z Args: 2024-08-20T21:40:32.9278045Z module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers 2024-08-20T21:40:32.9278332Z process_group (optional): process group to scope synchronization, 2024-08-20T21:40:32.9278491Z default is the whole world 2024-08-20T21:40:32.9278578Z 2024-08-20T21:40:32.9278677Z Returns: 2024-08-20T21:40:32.9279042Z The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm` 2024-08-20T21:40:32.9279348Z layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer, 2024-08-20T21:40:32.9279671Z a new :class:`torch.nn.SyncBatchNorm` layer object will be returned 2024-08-20T21:40:32.9279787Z instead. 2024-08-20T21:40:32.9279876Z 2024-08-20T21:40:32.9279993Z Example:: 2024-08-20T21:40:32.9280081Z 2024-08-20T21:40:32.9280247Z >>> # Network with nn.BatchNorm layer 2024-08-20T21:40:32.9280447Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-08-20T21:40:32.9280603Z >>> module = torch.nn.Sequential( 2024-08-20T21:40:32.9280763Z >>> torch.nn.Linear(20, 100), 2024-08-20T21:40:32.9280941Z >>> torch.nn.BatchNorm1d(100), 2024-08-20T21:40:32.9281052Z >>> ).cuda() 2024-08-20T21:40:32.9281220Z >>> # creating process group (optional) 2024-08-20T21:40:32.9281491Z >>> # ranks is a list of int identifying rank ids. 2024-08-20T21:40:32.9281625Z >>> ranks = list(range(8)) 2024-08-20T21:40:32.9281769Z >>> r1, r2 = ranks[:4], ranks[4:] 2024-08-20T21:40:32.9281985Z >>> # Note: every rank calls into new_group for every 2024-08-20T21:40:32.9282191Z >>> # process group created, even if that rank is not 2024-08-20T21:40:32.9282336Z >>> # part of the group. 2024-08-20T21:40:32.9282494Z >>> # xdoctest: +SKIP("distributed") 2024-08-20T21:40:32.9282828Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2024-08-20T21:40:32.9283110Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2024-08-20T21:40:32.9283510Z >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group) 2024-08-20T21:40:32.9283599Z 2024-08-20T21:40:32.9283704Z 2024-08-20T21:40:32.9284114Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9284209Z 2024-08-20T21:40:32.9284335Z warnings.warn(msg) 2024-08-20T21:40:32.9284423Z 2024-08-20T21:40:32.9284635Z --- Parse Warning: 59 / 101 --- 2024-08-20T21:40:32.9286019Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Unflatten in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/flatten.py line=60. 2024-08-20T21:40:32.9286471Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9286580Z 2024-08-20T21:40:32.9287014Z Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`. 2024-08-20T21:40:32.9287102Z 2024-08-20T21:40:32.9287489Z * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can 2024-08-20T21:40:32.9287817Z be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively. 2024-08-20T21:40:32.9287908Z 2024-08-20T21:40:32.9288366Z * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be 2024-08-20T21:40:32.9288747Z a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input; a `NamedShape` 2024-08-20T21:40:32.9288968Z (tuple of `(name, size)` tuples) for `NamedTensor` input. 2024-08-20T21:40:32.9289070Z 2024-08-20T21:40:32.9289167Z Shape: 2024-08-20T21:40:32.9289589Z - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at 2024-08-20T21:40:32.9289934Z dimension :attr:`dim` and :math:`*` means any number of dimensions including none. 2024-08-20T21:40:32.9290328Z - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and 2024-08-20T21:40:32.9290509Z :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`. 2024-08-20T21:40:32.9290596Z 2024-08-20T21:40:32.9290690Z Args: 2024-08-20T21:40:32.9290904Z dim (Union[int, str]): Dimension to be unflattened 2024-08-20T21:40:32.9291391Z unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension 2024-08-20T21:40:32.9291481Z 2024-08-20T21:40:32.9291592Z Examples: 2024-08-20T21:40:32.9291719Z >>> input = torch.randn(2, 50) 2024-08-20T21:40:32.9291840Z >>> # With tuple of ints 2024-08-20T21:40:32.9291968Z >>> m = nn.Sequential( 2024-08-20T21:40:32.9292081Z >>> nn.Linear(50, 50), 2024-08-20T21:40:32.9292214Z >>> nn.Unflatten(1, (2, 5, 5)) 2024-08-20T21:40:32.9292320Z >>> ) 2024-08-20T21:40:32.9292434Z >>> output = m(input) 2024-08-20T21:40:32.9292555Z >>> output.size() 2024-08-20T21:40:32.9292724Z torch.Size([2, 2, 5, 5]) 2024-08-20T21:40:32.9292833Z >>> # With torch.Size 2024-08-20T21:40:32.9292962Z >>> m = nn.Sequential( 2024-08-20T21:40:32.9293076Z >>> nn.Linear(50, 50), 2024-08-20T21:40:32.9293293Z >>> nn.Unflatten(1, torch.Size([2, 5, 5])) 2024-08-20T21:40:32.9293442Z >>> ) 2024-08-20T21:40:32.9293555Z >>> output = m(input) 2024-08-20T21:40:32.9293665Z >>> output.size() 2024-08-20T21:40:32.9293789Z torch.Size([2, 2, 5, 5]) 2024-08-20T21:40:32.9293945Z >>> # With namedshape (tuple of tuples) 2024-08-20T21:40:32.9294219Z >>> input = torch.randn(2, 50, names=('N', 'features')) 2024-08-20T21:40:32.9294587Z >>> unflatten = nn.Unflatten('features', (('C', 2), ('H', 5), ('W', 5))) 2024-08-20T21:40:32.9294718Z >>> output = unflatten(input) 2024-08-20T21:40:32.9294828Z >>> output.size() 2024-08-20T21:40:32.9294954Z torch.Size([2, 2, 5, 5]) 2024-08-20T21:40:32.9295040Z 2024-08-20T21:40:32.9295443Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9295544Z 2024-08-20T21:40:32.9295657Z warnings.warn(msg) 2024-08-20T21:40:32.9295751Z 2024-08-20T21:40:32.9295978Z --- Parse Warning: 60 / 101 --- 2024-08-20T21:40:32.9297484Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1696. 2024-08-20T21:40:32.9297947Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9298205Z Creates a criterion that measures the triplet loss given input 2024-08-20T21:40:32.9298468Z tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor, 2024-08-20T21:40:32.9298768Z positive, and negative examples, respectively), and a nonnegative, 2024-08-20T21:40:32.9299171Z real-valued function ("distance function") used to compute the relationship 2024-08-20T21:40:32.9299469Z between the anchor and positive example ("positive distance") and the 2024-08-20T21:40:32.9299687Z anchor and negative example ("negative distance"). 2024-08-20T21:40:32.9299777Z 2024-08-20T21:40:32.9300148Z The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``) 2024-08-20T21:40:32.9300263Z can be described as: 2024-08-20T21:40:32.9300350Z 2024-08-20T21:40:32.9300539Z .. math:: 2024-08-20T21:40:32.9300739Z \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad 2024-08-20T21:40:32.9301089Z l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\} 2024-08-20T21:40:32.9301194Z 2024-08-20T21:40:32.9301633Z where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function 2024-08-20T21:40:32.9302027Z quantifying the closeness of two tensors, referred to as the :attr:`distance_function`; 2024-08-20T21:40:32.9302376Z and :math:`margin` is a nonnegative margin representing the minimum difference 2024-08-20T21:40:32.9302717Z between the positive and negative distances that is required for the loss to 2024-08-20T21:40:32.9303093Z be 0. The input tensors have :math:`N` elements each and can be of any shape 2024-08-20T21:40:32.9303249Z that the distance function can handle. 2024-08-20T21:40:32.9303338Z 2024-08-20T21:40:32.9303555Z If :attr:`reduction` is not ``'none'`` 2024-08-20T21:40:32.9303724Z (default ``'mean'``), then: 2024-08-20T21:40:32.9303812Z 2024-08-20T21:40:32.9303926Z .. math:: 2024-08-20T21:40:32.9304027Z \ell(x, y) = 2024-08-20T21:40:32.9304131Z \begin{cases} 2024-08-20T21:40:32.9304506Z \operatorname{mean}(L), & \text{if reduction} = \text{`mean';}\\ 2024-08-20T21:40:32.9304842Z \operatorname{sum}(L), & \text{if reduction} = \text{`sum'.} 2024-08-20T21:40:32.9304945Z \end{cases} 2024-08-20T21:40:32.9305051Z 2024-08-20T21:40:32.9305375Z See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet 2024-08-20T21:40:32.9305790Z loss for input tensors using the :math:`l_p` distance as the distance function. 2024-08-20T21:40:32.9305896Z 2024-08-20T21:40:32.9305990Z Args: 2024-08-20T21:40:32.9306435Z distance_function (Callable, optional): A nonnegative, real-valued function that 2024-08-20T21:40:32.9306701Z quantifies the closeness of two tensors. If not specified, 2024-08-20T21:40:32.9306934Z `nn.PairwiseDistance` will be used. Default: ``None`` 2024-08-20T21:40:32.9307307Z margin (float, optional): A nonnegative margin representing the minimum difference 2024-08-20T21:40:32.9307680Z between the positive and negative distances required for the loss to be 0. Larger 2024-08-20T21:40:32.9308057Z margins penalize cases where the negative examples are not distant enough from the 2024-08-20T21:40:32.9308301Z anchors, relative to the positives. Default: :math:`1`. 2024-08-20T21:40:32.9308644Z swap (bool, optional): Whether to use the distance swap described in the paper 2024-08-20T21:40:32.9308989Z `Learning shallow convolutional feature descriptors with triplet losses` by 2024-08-20T21:40:32.9309357Z V. Balntas, E. Riba et al. If True, and if the positive example is closer to the 2024-08-20T21:40:32.9309726Z negative example than the anchor is, swaps the positive example and the anchor in 2024-08-20T21:40:32.9309944Z the loss computation. Default: ``False``. 2024-08-20T21:40:32.9310318Z reduction (str, optional): Specifies the (optional) reduction to apply to the output: 2024-08-20T21:40:32.9310678Z ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied, 2024-08-20T21:40:32.9311032Z ``'mean'``: the sum of the output will be divided by the number of 2024-08-20T21:40:32.9311455Z elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'`` 2024-08-20T21:40:32.9311548Z 2024-08-20T21:40:32.9311651Z 2024-08-20T21:40:32.9311749Z Shape: 2024-08-20T21:40:32.9312177Z - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions 2024-08-20T21:40:32.9312359Z as supported by the distance function. 2024-08-20T21:40:32.9312811Z - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar 2024-08-20T21:40:32.9312931Z otherwise. 2024-08-20T21:40:32.9313019Z 2024-08-20T21:40:32.9313125Z Examples:: 2024-08-20T21:40:32.9313229Z 2024-08-20T21:40:32.9313352Z >>> # Initialize embeddings 2024-08-20T21:40:32.9313510Z >>> embedding = nn.Embedding(1000, 128) 2024-08-20T21:40:32.9313691Z >>> anchor_ids = torch.randint(0, 1000, (1,)) 2024-08-20T21:40:32.9313864Z >>> positive_ids = torch.randint(0, 1000, (1,)) 2024-08-20T21:40:32.9314034Z >>> negative_ids = torch.randint(0, 1000, (1,)) 2024-08-20T21:40:32.9314194Z >>> anchor = embedding(anchor_ids) 2024-08-20T21:40:32.9314375Z >>> positive = embedding(positive_ids) 2024-08-20T21:40:32.9314522Z >>> negative = embedding(negative_ids) 2024-08-20T21:40:32.9314630Z >>> 2024-08-20T21:40:32.9314814Z >>> # Built-in Distance Function 2024-08-20T21:40:32.9314928Z >>> triplet_loss = \ 2024-08-20T21:40:32.9315306Z >>> nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance()) 2024-08-20T21:40:32.9315506Z >>> output = triplet_loss(anchor, positive, negative) 2024-08-20T21:40:32.9315636Z >>> output.backward() 2024-08-20T21:40:32.9315729Z >>> 2024-08-20T21:40:32.9315856Z >>> # Custom Distance Function 2024-08-20T21:40:32.9315993Z >>> def l_infinity(x1, x2): 2024-08-20T21:40:32.9316269Z >>> return torch.max(torch.abs(x1 - x2), dim=1).values 2024-08-20T21:40:32.9316360Z >>> 2024-08-20T21:40:32.9316686Z >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time") 2024-08-20T21:40:32.9316800Z >>> triplet_loss = ( 2024-08-20T21:40:32.9317157Z >>> nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5)) 2024-08-20T21:40:32.9317371Z >>> output = triplet_loss(anchor, positive, negative) 2024-08-20T21:40:32.9317486Z >>> output.backward() 2024-08-20T21:40:32.9317581Z >>> 2024-08-20T21:40:32.9317752Z >>> # Custom Distance Function (Lambda) 2024-08-20T21:40:32.9317862Z >>> triplet_loss = ( 2024-08-20T21:40:32.9318037Z >>> nn.TripletMarginWithDistanceLoss( 2024-08-20T21:40:32.9318414Z >>> distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y))) 2024-08-20T21:40:32.9318614Z >>> output = triplet_loss(anchor, positive, negative) 2024-08-20T21:40:32.9318741Z >>> output.backward() 2024-08-20T21:40:32.9318828Z 2024-08-20T21:40:32.9318928Z Reference: 2024-08-20T21:40:32.9319357Z V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses: 2024-08-20T21:40:32.9319603Z http://www.bmva.org/bmvc/2016/papers/paper119/index.html 2024-08-20T21:40:32.9319697Z 2024-08-20T21:40:32.9320122Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17)) 2024-08-20T21:40:32.9320239Z 2024-08-20T21:40:32.9320349Z warnings.warn(msg) 2024-08-20T21:40:32.9320450Z 2024-08-20T21:40:32.9320665Z --- Parse Warning: 61 / 101 --- 2024-08-20T21:40:32.9322055Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MaxUnpool2d in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py line=395. 2024-08-20T21:40:32.9322487Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9322679Z Computes a partial inverse of :class:`MaxPool2d`. 2024-08-20T21:40:32.9322779Z 2024-08-20T21:40:32.9323224Z :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost. 2024-08-20T21:40:32.9323317Z 2024-08-20T21:40:32.9323628Z :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d` 2024-08-20T21:40:32.9323952Z including the indices of the maximal values and computes a partial inverse 2024-08-20T21:40:32.9324204Z in which all non-maximal values are set to zero. 2024-08-20T21:40:32.9324307Z 2024-08-20T21:40:32.9324401Z Note: 2024-08-20T21:40:32.9324819Z This operation may behave nondeterministically when the input indices has repeat values. 2024-08-20T21:40:32.9325336Z See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information. 2024-08-20T21:40:32.9325425Z 2024-08-20T21:40:32.9325928Z .. note:: :class:`MaxPool2d` can map several input sizes to the same output 2024-08-20T21:40:32.9326167Z sizes. Hence, the inversion process can get ambiguous. 2024-08-20T21:40:32.9326488Z To accommodate this, you can provide the needed output size 2024-08-20T21:40:32.9326789Z as an additional argument :attr:`output_size` in the forward call. 2024-08-20T21:40:32.9326946Z See the Inputs and Example below. 2024-08-20T21:40:32.9327036Z 2024-08-20T21:40:32.9327144Z Args: 2024-08-20T21:40:32.9327387Z kernel_size (int or tuple): Size of the max pooling window. 2024-08-20T21:40:32.9327617Z stride (int or tuple): Stride of the max pooling window. 2024-08-20T21:40:32.9327815Z It is set to :attr:`kernel_size` by default. 2024-08-20T21:40:32.9328063Z padding (int or tuple): Padding that was added to the input 2024-08-20T21:40:32.9328150Z 2024-08-20T21:40:32.9328259Z Inputs: 2024-08-20T21:40:32.9328476Z - `input`: the input Tensor to invert 2024-08-20T21:40:32.9328917Z - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d` 2024-08-20T21:40:32.9329191Z - `output_size` (optional): the targeted output size 2024-08-20T21:40:32.9329298Z 2024-08-20T21:40:32.9329406Z Shape: 2024-08-20T21:40:32.9329744Z - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`. 2024-08-20T21:40:32.9330137Z - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where 2024-08-20T21:40:32.9330243Z 2024-08-20T21:40:32.9330352Z .. math:: 2024-08-20T21:40:32.9330870Z H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]} 2024-08-20T21:40:32.9330970Z 2024-08-20T21:40:32.9331072Z .. math:: 2024-08-20T21:40:32.9331580Z W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]} 2024-08-20T21:40:32.9331681Z 2024-08-20T21:40:32.9331915Z or as given by :attr:`output_size` in the call operator 2024-08-20T21:40:32.9332005Z 2024-08-20T21:40:32.9332120Z Example:: 2024-08-20T21:40:32.9332204Z 2024-08-20T21:40:32.9332435Z >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True) 2024-08-20T21:40:32.9332603Z >>> unpool = nn.MaxUnpool2d(2, stride=2) 2024-08-20T21:40:32.9332781Z >>> input = torch.tensor([[[[ 1., 2., 3., 4.], 2024-08-20T21:40:32.9332983Z [ 5., 6., 7., 8.], 2024-08-20T21:40:32.9333131Z [ 9., 10., 11., 12.], 2024-08-20T21:40:32.9333285Z [13., 14., 15., 16.]]]]) 2024-08-20T21:40:32.9333443Z >>> output, indices = pool(input) 2024-08-20T21:40:32.9333573Z >>> unpool(output, indices) 2024-08-20T21:40:32.9333711Z tensor([[[[ 0., 0., 0., 0.], 2024-08-20T21:40:32.9333853Z [ 0., 6., 0., 8.], 2024-08-20T21:40:32.9333985Z [ 0., 0., 0., 0.], 2024-08-20T21:40:32.9334121Z [ 0., 14., 0., 16.]]]]) 2024-08-20T21:40:32.9334425Z >>> # Now using output_size to resolve an ambiguous size for the inverse 2024-08-20T21:40:32.9334620Z >>> input = torch.tensor([[[[ 1., 2., 3., 4., 5.], 2024-08-20T21:40:32.9334788Z [ 6., 7., 8., 9., 10.], 2024-08-20T21:40:32.9334939Z [11., 12., 13., 14., 15.], 2024-08-20T21:40:32.9335098Z [16., 17., 18., 19., 20.]]]]) 2024-08-20T21:40:32.9335257Z >>> output, indices = pool(input) 2024-08-20T21:40:32.9335491Z >>> # This call will not work without specifying output_size 2024-08-20T21:40:32.9335696Z >>> unpool(output, indices, output_size=input.size()) 2024-08-20T21:40:32.9335848Z tensor([[[[ 0., 0., 0., 0., 0.], 2024-08-20T21:40:32.9335985Z [ 0., 7., 0., 9., 0.], 2024-08-20T21:40:32.9336143Z [ 0., 0., 0., 0., 0.], 2024-08-20T21:40:32.9336291Z [ 0., 17., 0., 19., 0.]]]]) 2024-08-20T21:40:32.9336380Z 2024-08-20T21:40:32.9336467Z 2024-08-20T21:40:32.9336574Z 2024-08-20T21:40:32.9336981Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9337071Z 2024-08-20T21:40:32.9337196Z warnings.warn(msg) 2024-08-20T21:40:32.9337283Z 2024-08-20T21:40:32.9337511Z --- Parse Warning: 62 / 101 --- 2024-08-20T21:40:32.9338901Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=EmbeddingBag in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py line=270. 2024-08-20T21:40:32.9339318Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9339914Z Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings. 2024-08-20T21:40:32.9340007Z 2024-08-20T21:40:32.9340545Z For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`, 2024-08-20T21:40:32.9340695Z and with 2D inputs, this class 2024-08-20T21:40:32.9340782Z 2024-08-20T21:40:32.9341220Z * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``, 2024-08-20T21:40:32.9341678Z * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``, 2024-08-20T21:40:32.9342108Z * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``. 2024-08-20T21:40:32.9342211Z 2024-08-20T21:40:32.9342707Z However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these 2024-08-20T21:40:32.9342808Z operations. 2024-08-20T21:40:32.9342907Z 2024-08-20T21:40:32.9343333Z EmbeddingBag also supports per-sample weights as an argument to the forward 2024-08-20T21:40:32.9343659Z pass. This scales the output of the Embedding before performing a weighted 2024-08-20T21:40:32.9344016Z reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the 2024-08-20T21:40:32.9344383Z only supported ``mode`` is ``"sum"``, which computes a weighted sum according to 2024-08-20T21:40:32.9344522Z :attr:`per_sample_weights`. 2024-08-20T21:40:32.9344611Z 2024-08-20T21:40:32.9344707Z Args: 2024-08-20T21:40:32.9344960Z num_embeddings (int): size of the dictionary of embeddings 2024-08-20T21:40:32.9345180Z embedding_dim (int): the size of each embedding vector 2024-08-20T21:40:32.9345615Z max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm` 2024-08-20T21:40:32.9345850Z is renormalized to have norm :attr:`max_norm`. 2024-08-20T21:40:32.9346449Z norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``. 2024-08-20T21:40:32.9346909Z scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of 2024-08-20T21:40:32.9347246Z the words in the mini-batch. Default ``False``. 2024-08-20T21:40:32.9347504Z Note: this option is not supported when ``mode="max"``. 2024-08-20T21:40:32.9347874Z mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag. 2024-08-20T21:40:32.9348180Z ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights` 2024-08-20T21:40:32.9348483Z into consideration. ``"mean"`` computes the average of the values 2024-08-20T21:40:32.9348761Z in the bag, ``"max"`` computes the max value over each bag. 2024-08-20T21:40:32.9348946Z Default: ``"mean"`` 2024-08-20T21:40:32.9349408Z sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See 2024-08-20T21:40:32.9349779Z Notes for more details regarding sparse gradients. Note: this option is not 2024-08-20T21:40:32.9349950Z supported when ``mode="max"``. 2024-08-20T21:40:32.9350473Z include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element 2024-08-20T21:40:32.9350794Z is equivalent to the size of `indices`. This matches the CSR format. 2024-08-20T21:40:32.9351255Z padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the 2024-08-20T21:40:32.9351692Z gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated 2024-08-20T21:40:32.9352040Z during training, i.e. it remains as a fixed "pad". For a newly constructed 2024-08-20T21:40:32.9352417Z EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all 2024-08-20T21:40:32.9352773Z zeros, but can be updated to another value to be used as the padding vector. 2024-08-20T21:40:32.9353120Z Note that the embedding vector at :attr:`padding_idx` is excluded from the 2024-08-20T21:40:32.9353275Z reduction. 2024-08-20T21:40:32.9353363Z 2024-08-20T21:40:32.9353465Z Attributes: 2024-08-20T21:40:32.9353908Z weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)` 2024-08-20T21:40:32.9354109Z initialized from :math:`\mathcal{N}(0, 1)`. 2024-08-20T21:40:32.9354199Z 2024-08-20T21:40:32.9354321Z Examples:: 2024-08-20T21:40:32.9354409Z 2024-08-20T21:40:32.9354654Z >>> # an EmbeddingBag module containing 10 tensors of size 3 2024-08-20T21:40:32.9354965Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum') 2024-08-20T21:40:32.9355141Z >>> # a batch of 2 samples of 4 indices each 2024-08-20T21:40:32.9355414Z >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long) 2024-08-20T21:40:32.9355614Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2024-08-20T21:40:32.9355870Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-08-20T21:40:32.9356030Z >>> embedding_sum(input, offsets) 2024-08-20T21:40:32.9356228Z tensor([[-0.8861, -5.4350, -0.0523], 2024-08-20T21:40:32.9356428Z [ 1.1306, -2.5798, -1.0044]]) 2024-08-20T21:40:32.9356537Z 2024-08-20T21:40:32.9356681Z >>> # Example with padding_idx 2024-08-20T21:40:32.9357043Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2) 2024-08-20T21:40:32.9357315Z >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long) 2024-08-20T21:40:32.9357511Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2024-08-20T21:40:32.9357674Z >>> embedding_sum(input, offsets) 2024-08-20T21:40:32.9357812Z tensor([[ 0.0000, 0.0000, 0.0000], 2024-08-20T21:40:32.9358005Z [-0.7082, 3.2145, -2.6251]]) 2024-08-20T21:40:32.9358108Z 2024-08-20T21:40:32.9358349Z >>> # An EmbeddingBag can be loaded from an Embedding like so 2024-08-20T21:40:32.9358546Z >>> embedding = nn.Embedding(10, 3, padding_idx=2) 2024-08-20T21:40:32.9358770Z >>> embedding_sum = nn.EmbeddingBag.from_pretrained( 2024-08-20T21:40:32.9358901Z embedding.weight, 2024-08-20T21:40:32.9359102Z padding_idx=embedding.padding_idx, 2024-08-20T21:40:32.9359270Z mode='sum') 2024-08-20T21:40:32.9359364Z 2024-08-20T21:40:32.9359767Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9359875Z 2024-08-20T21:40:32.9359990Z warnings.warn(msg) 2024-08-20T21:40:32.9360082Z 2024-08-20T21:40:32.9360309Z --- Parse Warning: 63 / 101 --- 2024-08-20T21:40:32.9361869Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel.join in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=1748. 2024-08-20T21:40:32.9362308Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9362401Z 2024-08-20T21:40:32.9362767Z Context manager for training with uneven inputs across processes in DDP. 2024-08-20T21:40:32.9362877Z 2024-08-20T21:40:32.9363249Z This context manager will keep track of already-joined DDP processes, 2024-08-20T21:40:32.9363537Z and "shadow" the forward and backward passes by inserting collective 2024-08-20T21:40:32.9363920Z communication operations to match with the ones created by non-joined 2024-08-20T21:40:32.9364229Z DDP processes. This will ensure each collective call has a corresponding 2024-08-20T21:40:32.9364598Z call by already-joined DDP processes, preventing hangs or errors that 2024-08-20T21:40:32.9364869Z would otherwise happen when training with uneven inputs across 2024-08-20T21:40:32.9365172Z processes. Alternatively, if the flag ``throw_on_early_termination`` is 2024-08-20T21:40:32.9365477Z specified to be ``True``, all trainers will throw an error once one rank 2024-08-20T21:40:32.9365749Z runs out of inputs, allowing these errors to be caught and handled 2024-08-20T21:40:32.9365884Z according to application logic. 2024-08-20T21:40:32.9365990Z 2024-08-20T21:40:32.9366289Z Once all DDP processes have joined, the context manager will broadcast 2024-08-20T21:40:32.9366592Z the model corresponding to the last joined process to all processes to 2024-08-20T21:40:32.9366798Z ensure the model is the same across all processes 2024-08-20T21:40:32.9366955Z (which is guaranteed by DDP). 2024-08-20T21:40:32.9367043Z 2024-08-20T21:40:32.9367338Z To use this to enable training with uneven inputs across processes, 2024-08-20T21:40:32.9367639Z simply wrap this context manager around your training loop. No further 2024-08-20T21:40:32.9367870Z modifications to the model or data loading is required. 2024-08-20T21:40:32.9367958Z 2024-08-20T21:40:32.9368061Z .. warning:: 2024-08-20T21:40:32.9368368Z If the model or training loop this context manager is wrapped around 2024-08-20T21:40:32.9368610Z has additional distributed collective operations, such as 2024-08-20T21:40:32.9368927Z ``SyncBatchNorm`` in the model's forward pass, then the flag 2024-08-20T21:40:32.9369214Z ``throw_on_early_termination`` must be enabled. This is because this 2024-08-20T21:40:32.9369559Z context manager is not aware of non-DDP collective communication. 2024-08-20T21:40:32.9369788Z This flag will cause all ranks to throw when any one rank 2024-08-20T21:40:32.9370079Z exhausts inputs, allowing these errors to be caught and recovered 2024-08-20T21:40:32.9370199Z from across all ranks. 2024-08-20T21:40:32.9370286Z 2024-08-20T21:40:32.9370392Z Args: 2024-08-20T21:40:32.9370635Z divide_by_initial_world_size (bool): If ``True``, will divide 2024-08-20T21:40:32.9370924Z gradients by the initial ``world_size`` DDP training was launched 2024-08-20T21:40:32.9371148Z with. If ``False``, will compute the effective world size 2024-08-20T21:40:32.9371405Z (number of ranks that have not depleted their inputs yet) and 2024-08-20T21:40:32.9371651Z divide gradients by that during allreduce. Set 2024-08-20T21:40:32.9371883Z ``divide_by_initial_world_size=True`` to ensure every input 2024-08-20T21:40:32.9372160Z sample including the uneven inputs have equal weight in terms of 2024-08-20T21:40:32.9372406Z how much they contribute to the global gradient. This is 2024-08-20T21:40:32.9372636Z achieved by always dividing the gradient by the initial 2024-08-20T21:40:32.9372889Z ``world_size`` even when we encounter uneven inputs. If you set 2024-08-20T21:40:32.9373137Z this to ``False``, we divide the gradient by the remaining 2024-08-20T21:40:32.9373406Z number of nodes. This ensures parity with training on a smaller 2024-08-20T21:40:32.9373659Z ``world_size`` although it also means the uneven inputs would 2024-08-20T21:40:32.9373911Z contribute more towards the global gradient. Typically, you 2024-08-20T21:40:32.9374220Z would want to set this to ``True`` for cases where the last few 2024-08-20T21:40:32.9374508Z inputs of your training job are uneven. In extreme cases, where 2024-08-20T21:40:32.9374764Z there is a large discrepancy in the number of inputs, setting 2024-08-20T21:40:32.9374954Z this to ``False`` might provide better results. 2024-08-20T21:40:32.9375254Z enable (bool): Whether to enable uneven input detection or not. Pass 2024-08-20T21:40:32.9375490Z in ``enable=False`` to disable in cases where you know that 2024-08-20T21:40:32.9375738Z inputs are even across participating processes. Default is 2024-08-20T21:40:32.9375850Z ``True``. 2024-08-20T21:40:32.9376092Z throw_on_early_termination (bool): Whether to throw an error 2024-08-20T21:40:32.9376343Z or continue training when at least one rank has exhausted 2024-08-20T21:40:32.9376604Z inputs. If ``True``, will throw upon the first rank reaching end 2024-08-20T21:40:32.9376846Z of data. If ``False``, will continue training with a smaller 2024-08-20T21:40:32.9377120Z effective world size until all ranks are joined. Note that if 2024-08-20T21:40:32.9377277Z this flag is specified, then the flag 2024-08-20T21:40:32.9377531Z ``divide_by_initial_world_size`` would be ignored. Default 2024-08-20T21:40:32.9377648Z is ``False``. 2024-08-20T21:40:32.9377739Z 2024-08-20T21:40:32.9377826Z 2024-08-20T21:40:32.9377940Z Example:: 2024-08-20T21:40:32.9378027Z 2024-08-20T21:40:32.9378174Z >>> # xdoctest: +SKIP("Distributed") 2024-08-20T21:40:32.9378294Z >>> import torch 2024-08-20T21:40:32.9378444Z >>> import torch.distributed as dist 2024-08-20T21:40:32.9378543Z >>> import os 2024-08-20T21:40:32.9378719Z >>> import torch.multiprocessing as mp 2024-08-20T21:40:32.9378837Z >>> import torch.nn as nn 2024-08-20T21:40:32.9378973Z >>> # On each spawned worker 2024-08-20T21:40:32.9379089Z >>> def worker(rank): 2024-08-20T21:40:32.9379317Z >>> dist.init_process_group("nccl", rank=rank, world_size=2) 2024-08-20T21:40:32.9379465Z >>> torch.cuda.set_device(rank) 2024-08-20T21:40:32.9379644Z >>> model = nn.Linear(1, 1, bias=False).to(rank) 2024-08-20T21:40:32.9379888Z >>> model = torch.nn.parallel.DistributedDataParallel( 2024-08-20T21:40:32.9380084Z >>> model, device_ids=[rank], output_device=rank 2024-08-20T21:40:32.9380180Z >>> ) 2024-08-20T21:40:32.9380351Z >>> # Rank 1 gets one more input than rank 0. 2024-08-20T21:40:32.9380697Z >>> inputs = [torch.tensor([1]).float() for _ in range(10 + rank)] 2024-08-20T21:40:32.9380817Z >>> with model.join(): 2024-08-20T21:40:32.9381025Z >>> for _ in range(5): 2024-08-20T21:40:32.9381169Z >>> for inp in inputs: 2024-08-20T21:40:32.9381319Z >>> loss = model(inp).sum() 2024-08-20T21:40:32.9381489Z >>> loss.backward() 2024-08-20T21:40:32.9381762Z >>> # Without the join() API, the below synchronization will hang 2024-08-20T21:40:32.9382035Z >>> # blocking for rank 1's allreduce to complete. 2024-08-20T21:40:32.9382214Z >>> torch.cuda.synchronize(device=rank) 2024-08-20T21:40:32.9382302Z 2024-08-20T21:40:32.9382703Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9382805Z 2024-08-20T21:40:32.9382914Z warnings.warn(msg) 2024-08-20T21:40:32.9383008Z 2024-08-20T21:40:32.9383233Z --- Parse Warning: 64 / 101 --- 2024-08-20T21:40:32.9384944Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=2039. 2024-08-20T21:40:32.9385369Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9385471Z 2024-08-20T21:40:32.9385891Z Register an optimizer in DDP to optimize parameter immediately after its gradient reduction. 2024-08-20T21:40:32.9386002Z 2024-08-20T21:40:32.9386276Z Registers an optimizer with DDP such that the optimization for a 2024-08-20T21:40:32.9386608Z parameter will run immediately when that parameter's gradient is 2024-08-20T21:40:32.9386883Z finished with reduction, instead of waiting for all parameters' 2024-08-20T21:40:32.9387171Z gradients to finish reduction. This can result in a training speedup 2024-08-20T21:40:32.9387470Z depending on your workload since the optimizer can run while gradient 2024-08-20T21:40:32.9387797Z reduction for other parameters are still ongoing. In addition, this has 2024-08-20T21:40:32.9388099Z the potential to reduce peak memory consumption during training, as it 2024-08-20T21:40:32.9388444Z only needs to load the per-parameter optimizer states of a single 2024-08-20T21:40:32.9388813Z parameter at a time, instead of loading all per-parameter optimizer 2024-08-20T21:40:32.9388917Z states at once. 2024-08-20T21:40:32.9389016Z 2024-08-20T21:40:32.9389138Z Args: 2024-08-20T21:40:32.9389403Z optim (Type): a ``torch.optim.Optimizer`` class to be registered 2024-08-20T21:40:32.9389530Z as a fused optimizer. 2024-08-20T21:40:32.9389747Z *args (Sequence[Any]): Arguments to forward to `optim`. 2024-08-20T21:40:32.9390026Z optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters 2024-08-20T21:40:32.9390338Z to optimize, similar to `params` argument of traditional `torch.optim` 2024-08-20T21:40:32.9390609Z Optimizers. If this is omitted, all DDP model parameters will be 2024-08-20T21:40:32.9390706Z optimized. 2024-08-20T21:40:32.9390995Z **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`. 2024-08-20T21:40:32.9391085Z 2024-08-20T21:40:32.9391186Z .. warning :: 2024-08-20T21:40:32.9391474Z _register_fused_optim should only be called once on a DDP instance, 2024-08-20T21:40:32.9391748Z and registering multiple fused optimizers for the same DDP model 2024-08-20T21:40:32.9391911Z is not currently supported. Please ping 2024-08-20T21:40:32.9392226Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2024-08-20T21:40:32.9392335Z for your use case. 2024-08-20T21:40:32.9392439Z 2024-08-20T21:40:32.9392538Z .. warning :: 2024-08-20T21:40:32.9392811Z _register_fused_optim and register_comm_hook currently do not 2024-08-20T21:40:32.9393089Z compose together, meaning that custom DDP communication hooks are 2024-08-20T21:40:32.9393306Z not supported with overlapped optimizers. Please ping 2024-08-20T21:40:32.9393622Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2024-08-20T21:40:32.9393762Z for your use case. 2024-08-20T21:40:32.9393846Z 2024-08-20T21:40:32.9393957Z .. warning :: 2024-08-20T21:40:32.9394244Z Gradient accumulation and DDP `no_sync` are currently not supported 2024-08-20T21:40:32.9394401Z with overlapped optimizer. Please ping 2024-08-20T21:40:32.9394710Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2024-08-20T21:40:32.9394819Z for your use case. 2024-08-20T21:40:32.9394902Z 2024-08-20T21:40:32.9395010Z Example:: 2024-08-20T21:40:32.9395094Z 2024-08-20T21:40:32.9395263Z >>> # xdoctest: +SKIP("No rendezvous handler") 2024-08-20T21:40:32.9395754Z >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...') 2024-08-20T21:40:32.9396025Z >>> net = torch.nn.parallel.DistributedDataParallel(model, pg) 2024-08-20T21:40:32.9396155Z >>> lr = 1e-2 2024-08-20T21:40:32.9396314Z >>> betas = (0.9, 0.99) 2024-08-20T21:40:32.9396435Z >>> eps = 1e-6 2024-08-20T21:40:32.9396743Z >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps) 2024-08-20T21:40:32.9396897Z >>> # Example with subset of parameters 2024-08-20T21:40:32.9397069Z >>> params_to_opt = [list(net.parameters())[0]] 2024-08-20T21:40:32.9397208Z >>> net._register_fused_optim( 2024-08-20T21:40:32.9397522Z ... torch.optim.Adam, lr, optim_params=params_to_opt, betas=betas, eps=eps 2024-08-20T21:40:32.9397612Z ... ) 2024-08-20T21:40:32.9397711Z 2024-08-20T21:40:32.9398112Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9398194Z 2024-08-20T21:40:32.9398316Z warnings.warn(msg) 2024-08-20T21:40:32.9398399Z 2024-08-20T21:40:32.9398607Z --- Parse Warning: 65 / 101 --- 2024-08-20T21:40:32.9400151Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=6. 2024-08-20T21:40:32.9400569Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9400868Z Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``. 2024-08-20T21:40:32.9400983Z 2024-08-20T21:40:32.9401346Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2024-08-20T21:40:32.9401778Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2024-08-20T21:40:32.9402134Z This function is used to facilitate the computation to adopt NHWC kernels, which 2024-08-20T21:40:32.9402554Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2024-08-20T21:40:32.9402654Z 2024-08-20T21:40:32.9402751Z .. note:: 2024-08-20T21:40:32.9403080Z Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive 2024-08-20T21:40:32.9403379Z than the utility function ``convert_conv2d_weight_memory_format``. Any 2024-08-20T21:40:32.9403674Z layer with 4d weight will be affected by ``model.to``, which does not 2024-08-20T21:40:32.9403977Z necessarily benefit from conversion to specified ``memory_format``. 2024-08-20T21:40:32.9404292Z One place we are confident in is that NHWC(channels_last) conversion for 2024-08-20T21:40:32.9404583Z convolution in cuDNN, as it is beneficial to run convolution in NHWC, 2024-08-20T21:40:32.9404877Z even in cases where we have to apply permutation to input tensors. 2024-08-20T21:40:32.9404963Z 2024-08-20T21:40:32.9405269Z Hence our strategy here is to convert only the weight of convolution to 2024-08-20T21:40:32.9405430Z channels_last. This ensures that; 2024-08-20T21:40:32.9405725Z 1. Fast convolution kernels will be used, the benefit of which could 2024-08-20T21:40:32.9406071Z outweigh overhead of permutation (if input is not in the same format). 2024-08-20T21:40:32.9406384Z 2. No unnecessary permutations are applied on layers that do not benefit 2024-08-20T21:40:32.9406518Z from memory_format conversion. 2024-08-20T21:40:32.9406613Z 2024-08-20T21:40:32.9406924Z The optimal case is that, layers between convolution layers are channels 2024-08-20T21:40:32.9407241Z last compatible. Input tensor would be permuted to channels last when it 2024-08-20T21:40:32.9407552Z encounters the first convolution layer and stay in that memory format. 2024-08-20T21:40:32.9407864Z Hence following convolutions will not need to permute its input tensor. 2024-08-20T21:40:32.9407948Z 2024-08-20T21:40:32.9408267Z In case where a channels last incompatible layer is between convolution 2024-08-20T21:40:32.9408612Z layers, we need to permute the input tensor back to contiguous format 2024-08-20T21:40:32.9408936Z for that layer. The input tensor will go through the remaining layers in 2024-08-20T21:40:32.9409238Z contiguous format and be permuted to channels last when it encounters 2024-08-20T21:40:32.9409589Z another convolution layer. There's no point in propagating that 2024-08-20T21:40:32.9409896Z permutation to an earlier layer, as most layers are quite agnostic to 2024-08-20T21:40:32.9410006Z ``memory_format``. 2024-08-20T21:40:32.9410092Z 2024-08-20T21:40:32.9410416Z This claim might change when PyTorch supports fusion of permutation, as 2024-08-20T21:40:32.9410719Z there might have been a better spot to fuse the permutation other than 2024-08-20T21:40:32.9410866Z immediately before a convolution. 2024-08-20T21:40:32.9410961Z 2024-08-20T21:40:32.9411058Z Args: 2024-08-20T21:40:32.9411353Z module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container 2024-08-20T21:40:32.9411494Z ``nn.Module`` 2024-08-20T21:40:32.9411687Z memory_format: user specified ``memory_format``, 2024-08-20T21:40:32.9411938Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2024-08-20T21:40:32.9412063Z 2024-08-20T21:40:32.9412155Z Returns: 2024-08-20T21:40:32.9412357Z The original module with updated ``nn.Conv2d`` 2024-08-20T21:40:32.9412441Z 2024-08-20T21:40:32.9412533Z Example: 2024-08-20T21:40:32.9412727Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-08-20T21:40:32.9412928Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2024-08-20T21:40:32.9413251Z >>> input = torch.randint(1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda") 2024-08-20T21:40:32.9413390Z >>> model = nn.Sequential( 2024-08-20T21:40:32.9413544Z >>> nn.Conv2d(8, 4, 3)).cuda().half() 2024-08-20T21:40:32.9413666Z >>> # This is identical to: 2024-08-20T21:40:32.9413999Z >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last) 2024-08-20T21:40:32.9414354Z >>> model = nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last) 2024-08-20T21:40:32.9414481Z >>> out = model(input) 2024-08-20T21:40:32.9414573Z 2024-08-20T21:40:32.9414975Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9415075Z 2024-08-20T21:40:32.9415183Z warnings.warn(msg) 2024-08-20T21:40:32.9415267Z 2024-08-20T21:40:32.9415490Z --- Parse Warning: 66 / 101 --- 2024-08-20T21:40:32.9417028Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=81. 2024-08-20T21:40:32.9417474Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9417758Z Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format`` 2024-08-20T21:40:32.9418117Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2024-08-20T21:40:32.9418515Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2024-08-20T21:40:32.9418871Z This function is used to facilitate the computation to adopt NHWC kernels, which 2024-08-20T21:40:32.9419291Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2024-08-20T21:40:32.9419392Z 2024-08-20T21:40:32.9419490Z .. note:: 2024-08-20T21:40:32.9419815Z Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive 2024-08-20T21:40:32.9420173Z than the utility function ``convert_conv3d_weight_memory_format``. Any 2024-08-20T21:40:32.9420560Z layer with 4d weight will be affected by ``model.to``, which does not 2024-08-20T21:40:32.9420853Z necessarily benefit from conversion to specified ``memory_format``. 2024-08-20T21:40:32.9421195Z One place we are confident in is that NDHWC(channels_last_3d) conversion for 2024-08-20T21:40:32.9421497Z convolution in cuDNN, as it is beneficial to run convolution in NDHWC, 2024-08-20T21:40:32.9421792Z even in cases where we have to apply permutation to input tensors. 2024-08-20T21:40:32.9421877Z 2024-08-20T21:40:32.9422185Z Hence our strategy here is to convert only the weight of convolution to 2024-08-20T21:40:32.9422346Z channels_last_3d. This ensures that; 2024-08-20T21:40:32.9422635Z 1. Fast convolution kernels will be used, the benefit of which could 2024-08-20T21:40:32.9422941Z outweigh overhead of permutation (if input is not in the same format). 2024-08-20T21:40:32.9423270Z 2. No unnecessary permutations are applied on layers that do not benefit 2024-08-20T21:40:32.9423406Z from memory_format conversion. 2024-08-20T21:40:32.9423490Z 2024-08-20T21:40:32.9423817Z The optimal case is that, layers between convolution layers are channels 2024-08-20T21:40:32.9424163Z last compatible. Input tensor would be permuted to channels last when it 2024-08-20T21:40:32.9424479Z encounters the first convolution layer and stay in that memory format. 2024-08-20T21:40:32.9424790Z Hence following convolutions will not need to permute its input tensor. 2024-08-20T21:40:32.9424871Z 2024-08-20T21:40:32.9425190Z In case where a channels last incompatible layer is between convolution 2024-08-20T21:40:32.9425484Z layers, we need to permute the input tensor back to contiguous format 2024-08-20T21:40:32.9426021Z for that layer. The input tensor will go through the remaining layers in 2024-08-20T21:40:32.9426339Z contiguous format and be permuted to channels last when it encounters 2024-08-20T21:40:32.9426703Z another convolution layer. There's no point in propagating that 2024-08-20T21:40:32.9427009Z permutation to an earlier layer, as most layers are quite agnostic to 2024-08-20T21:40:32.9427127Z ``memory_format``. 2024-08-20T21:40:32.9427212Z 2024-08-20T21:40:32.9427535Z This claim might change when PyTorch supports fusion of permutation, as 2024-08-20T21:40:32.9427838Z there might have been a better spot to fuse the permutation other than 2024-08-20T21:40:32.9427986Z immediately before a convolution. 2024-08-20T21:40:32.9428084Z 2024-08-20T21:40:32.9428178Z Args: 2024-08-20T21:40:32.9428465Z module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container 2024-08-20T21:40:32.9428605Z ``nn.Module`` 2024-08-20T21:40:32.9428800Z memory_format: user specified ``memory_format``, 2024-08-20T21:40:32.9429118Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2024-08-20T21:40:32.9429219Z 2024-08-20T21:40:32.9429314Z Returns: 2024-08-20T21:40:32.9429497Z The original module with updated ``nn.Conv3d`` 2024-08-20T21:40:32.9429598Z 2024-08-20T21:40:32.9429690Z Example: 2024-08-20T21:40:32.9429875Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-08-20T21:40:32.9430091Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2024-08-20T21:40:32.9430426Z >>> input = torch.randint(1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda") 2024-08-20T21:40:32.9430561Z >>> model = nn.Sequential( 2024-08-20T21:40:32.9430713Z >>> nn.Conv3d(8, 4, 3)).cuda().half() 2024-08-20T21:40:32.9430834Z >>> # This is identical to: 2024-08-20T21:40:32.9431245Z >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d) 2024-08-20T21:40:32.9431620Z >>> model = nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d) 2024-08-20T21:40:32.9431731Z >>> out = model(input) 2024-08-20T21:40:32.9431831Z 2024-08-20T21:40:32.9432240Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9432327Z 2024-08-20T21:40:32.9432445Z warnings.warn(msg) 2024-08-20T21:40:32.9432532Z 2024-08-20T21:40:32.9432742Z --- Parse Warning: 67 / 101 --- 2024-08-20T21:40:32.9434144Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=random_structured in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py line=936. 2024-08-20T21:40:32.9434554Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9434874Z Prune tensor by removing random channels along the specified dimension. 2024-08-20T21:40:32.9434961Z 2024-08-20T21:40:32.9435263Z Prunes tensor corresponding to parameter called ``name`` in ``module`` 2024-08-20T21:40:32.9435568Z by removing the specified ``amount`` of (currently unpruned) channels 2024-08-20T21:40:32.9435749Z along the specified ``dim`` selected at random. 2024-08-20T21:40:32.9436044Z Modifies module in place (and also return the modified module) 2024-08-20T21:40:32.9436148Z by: 2024-08-20T21:40:32.9436232Z 2024-08-20T21:40:32.9436598Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-08-20T21:40:32.9436902Z binary mask applied to the parameter ``name`` by the pruning method. 2024-08-20T21:40:32.9437184Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-08-20T21:40:32.9437466Z original (unpruned) parameter is stored in a new parameter named 2024-08-20T21:40:32.9437616Z ``name+'_orig'``. 2024-08-20T21:40:32.9437704Z 2024-08-20T21:40:32.9437808Z Args: 2024-08-20T21:40:32.9438044Z module (nn.Module): module containing the tensor to prune 2024-08-20T21:40:32.9438287Z name (str): parameter name within ``module`` on which pruning 2024-08-20T21:40:32.9438430Z will act. 2024-08-20T21:40:32.9438657Z amount (int or float): quantity of parameters to prune. 2024-08-20T21:40:32.9438901Z If ``float``, should be between 0.0 and 1.0 and represent the 2024-08-20T21:40:32.9439180Z fraction of parameters to prune. If ``int``, it represents the 2024-08-20T21:40:32.9439347Z absolute number of parameters to prune. 2024-08-20T21:40:32.9439640Z dim (int): index of the dim along which we define channels to prune. 2024-08-20T21:40:32.9439724Z 2024-08-20T21:40:32.9439819Z Returns: 2024-08-20T21:40:32.9440137Z module (nn.Module): modified (i.e. pruned) version of the input module 2024-08-20T21:40:32.9440256Z 2024-08-20T21:40:32.9440352Z Examples: 2024-08-20T21:40:32.9440481Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.9440624Z >>> m = prune.random_structured( 2024-08-20T21:40:32.9440872Z ... nn.Linear(5, 3), 'weight', amount=3, dim=1 2024-08-20T21:40:32.9440979Z ... ) 2024-08-20T21:40:32.9441220Z >>> columns_pruned = int(sum(torch.sum(m.weight, dim=0) == 0)) 2024-08-20T21:40:32.9441339Z >>> print(columns_pruned) 2024-08-20T21:40:32.9441442Z 3 2024-08-20T21:40:32.9441530Z 2024-08-20T21:40:32.9441928Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9442026Z 2024-08-20T21:40:32.9442136Z warnings.warn(msg) 2024-08-20T21:40:32.9442220Z 2024-08-20T21:40:32.9442442Z --- Parse Warning: 68 / 101 --- 2024-08-20T21:40:32.9443862Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ln_structured in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py line=977. 2024-08-20T21:40:32.9444291Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9444805Z Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension. 2024-08-20T21:40:32.9444891Z 2024-08-20T21:40:32.9445203Z Prunes tensor corresponding to parameter called ``name`` in ``module`` 2024-08-20T21:40:32.9445496Z by removing the specified ``amount`` of (currently unpruned) channels 2024-08-20T21:40:32.9445790Z along the specified ``dim`` with the lowest L\ ``n``-norm. 2024-08-20T21:40:32.9446060Z Modifies module in place (and also return the modified module) 2024-08-20T21:40:32.9446152Z by: 2024-08-20T21:40:32.9446235Z 2024-08-20T21:40:32.9446613Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-08-20T21:40:32.9446904Z binary mask applied to the parameter ``name`` by the pruning method. 2024-08-20T21:40:32.9447203Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-08-20T21:40:32.9447470Z original (unpruned) parameter is stored in a new parameter named 2024-08-20T21:40:32.9447645Z ``name+'_orig'``. 2024-08-20T21:40:32.9447741Z 2024-08-20T21:40:32.9447832Z Args: 2024-08-20T21:40:32.9448064Z module (nn.Module): module containing the tensor to prune 2024-08-20T21:40:32.9448322Z name (str): parameter name within ``module`` on which pruning 2024-08-20T21:40:32.9448426Z will act. 2024-08-20T21:40:32.9448648Z amount (int or float): quantity of parameters to prune. 2024-08-20T21:40:32.9448894Z If ``float``, should be between 0.0 and 1.0 and represent the 2024-08-20T21:40:32.9449165Z fraction of parameters to prune. If ``int``, it represents the 2024-08-20T21:40:32.9449336Z absolute number of parameters to prune. 2024-08-20T21:40:32.9449686Z n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid 2024-08-20T21:40:32.9449883Z entries for argument ``p`` in :func:`torch.norm`. 2024-08-20T21:40:32.9450180Z dim (int): index of the dim along which we define channels to prune. 2024-08-20T21:40:32.9450481Z importance_scores (torch.Tensor): tensor of importance scores (of same 2024-08-20T21:40:32.9450734Z shape as module parameter) used to compute mask for pruning. 2024-08-20T21:40:32.9451050Z The values in this tensor indicate the importance of the corresponding 2024-08-20T21:40:32.9451219Z elements in the parameter being pruned. 2024-08-20T21:40:32.9451530Z If unspecified or None, the module parameter will be used in its place. 2024-08-20T21:40:32.9451630Z 2024-08-20T21:40:32.9451728Z Returns: 2024-08-20T21:40:32.9452055Z module (nn.Module): modified (i.e. pruned) version of the input module 2024-08-20T21:40:32.9452154Z 2024-08-20T21:40:32.9452250Z Examples: 2024-08-20T21:40:32.9452412Z >>> from torch.nn.utils import prune 2024-08-20T21:40:32.9452544Z >>> m = prune.ln_structured( 2024-08-20T21:40:32.9452889Z ... nn.Conv2d(5, 3, 2), 'weight', amount=0.3, dim=1, n=float('-inf') 2024-08-20T21:40:32.9452993Z ... ) 2024-08-20T21:40:32.9453081Z 2024-08-20T21:40:32.9453476Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9453576Z 2024-08-20T21:40:32.9453686Z warnings.warn(msg) 2024-08-20T21:40:32.9453768Z 2024-08-20T21:40:32.9453987Z --- Parse Warning: 69 / 101 --- 2024-08-20T21:40:32.9455464Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=global_unstructured in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1024. 2024-08-20T21:40:32.9455886Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9455985Z 2024-08-20T21:40:32.9456554Z Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``. 2024-08-20T21:40:32.9456652Z 2024-08-20T21:40:32.9456777Z Modifies modules in place by: 2024-08-20T21:40:32.9456860Z 2024-08-20T21:40:32.9457228Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-08-20T21:40:32.9457517Z binary mask applied to the parameter ``name`` by the pruning method. 2024-08-20T21:40:32.9457796Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-08-20T21:40:32.9458072Z original (unpruned) parameter is stored in a new parameter named 2024-08-20T21:40:32.9458210Z ``name+'_orig'``. 2024-08-20T21:40:32.9458297Z 2024-08-20T21:40:32.9458401Z Args: 2024-08-20T21:40:32.9458659Z parameters (Iterable of (module, name) tuples): parameters of 2024-08-20T21:40:32.9458923Z the model to prune in a global fashion, i.e. by aggregating all 2024-08-20T21:40:32.9459209Z weights prior to deciding which ones to prune. module must be of 2024-08-20T21:40:32.9459436Z type :class:`nn.Module`, and name must be a string. 2024-08-20T21:40:32.9459732Z pruning_method (function): a valid pruning function from this module, 2024-08-20T21:40:32.9459972Z or a custom one implemented by the user that satisfies the 2024-08-20T21:40:32.9460341Z implementation guidelines and has ``PRUNING_TYPE='unstructured'``. 2024-08-20T21:40:32.9460764Z importance_scores (dict): a dictionary mapping (module, name) tuples to 2024-08-20T21:40:32.9461132Z the corresponding parameter's importance scores tensor. The tensor 2024-08-20T21:40:32.9461429Z should be the same shape as the parameter, and is used for computing 2024-08-20T21:40:32.9461555Z mask for pruning. 2024-08-20T21:40:32.9461836Z If unspecified or None, the parameter will be used in place of its 2024-08-20T21:40:32.9461946Z importance scores. 2024-08-20T21:40:32.9462116Z kwargs: other keyword arguments such as: 2024-08-20T21:40:32.9462393Z amount (int or float): quantity of parameters to prune across the 2024-08-20T21:40:32.9462520Z specified parameters. 2024-08-20T21:40:32.9462762Z If ``float``, should be between 0.0 and 1.0 and represent the 2024-08-20T21:40:32.9463026Z fraction of parameters to prune. If ``int``, it represents the 2024-08-20T21:40:32.9463201Z absolute number of parameters to prune. 2024-08-20T21:40:32.9463288Z 2024-08-20T21:40:32.9463378Z Raises: 2024-08-20T21:40:32.9463644Z TypeError: if ``PRUNING_TYPE != 'unstructured'`` 2024-08-20T21:40:32.9463733Z 2024-08-20T21:40:32.9463856Z Note: 2024-08-20T21:40:32.9464225Z Since global structured pruning doesn't make much sense unless the 2024-08-20T21:40:32.9464498Z norm is normalized by the size of the parameter, we now limit the 2024-08-20T21:40:32.9464689Z scope of global pruning to unstructured methods. 2024-08-20T21:40:32.9464789Z 2024-08-20T21:40:32.9464887Z Examples: 2024-08-20T21:40:32.9465031Z >>> from torch.nn.utils import prune 2024-08-20T21:40:32.9465201Z >>> from collections import OrderedDict 2024-08-20T21:40:32.9465349Z >>> net = nn.Sequential(OrderedDict([ 2024-08-20T21:40:32.9465531Z ... ('first', nn.Linear(10, 4)), 2024-08-20T21:40:32.9465725Z ... ('second', nn.Linear(4, 1)), 2024-08-20T21:40:32.9465816Z ... ])) 2024-08-20T21:40:32.9465945Z >>> parameters_to_prune = ( 2024-08-20T21:40:32.9466112Z ... (net.first, 'weight'), 2024-08-20T21:40:32.9466330Z ... (net.second, 'weight'), 2024-08-20T21:40:32.9466433Z ... ) 2024-08-20T21:40:32.9466562Z >>> prune.global_unstructured( 2024-08-20T21:40:32.9466680Z ... parameters_to_prune, 2024-08-20T21:40:32.9466860Z ... pruning_method=prune.L1Unstructured, 2024-08-20T21:40:32.9466965Z ... amount=10, 2024-08-20T21:40:32.9467055Z ... ) 2024-08-20T21:40:32.9467362Z >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0)) 2024-08-20T21:40:32.9467458Z tensor(10) 2024-08-20T21:40:32.9467542Z 2024-08-20T21:40:32.9467640Z 2024-08-20T21:40:32.9468041Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9468124Z 2024-08-20T21:40:32.9468242Z warnings.warn(msg) 2024-08-20T21:40:32.9468323Z 2024-08-20T21:40:32.9468529Z --- Parse Warning: 70 / 101 --- 2024-08-20T21:40:32.9469932Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=custom_from_mask in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1143. 2024-08-20T21:40:32.9470346Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9470999Z Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``. 2024-08-20T21:40:32.9471117Z 2024-08-20T21:40:32.9471401Z Modifies module in place (and also return the modified module) by: 2024-08-20T21:40:32.9471499Z 2024-08-20T21:40:32.9471869Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-08-20T21:40:32.9472162Z binary mask applied to the parameter ``name`` by the pruning method. 2024-08-20T21:40:32.9472462Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-08-20T21:40:32.9472735Z original (unpruned) parameter is stored in a new parameter named 2024-08-20T21:40:32.9472886Z ``name+'_orig'``. 2024-08-20T21:40:32.9472988Z 2024-08-20T21:40:32.9473081Z Args: 2024-08-20T21:40:32.9473318Z module (nn.Module): module containing the tensor to prune 2024-08-20T21:40:32.9473579Z name (str): parameter name within ``module`` on which pruning 2024-08-20T21:40:32.9473682Z will act. 2024-08-20T21:40:32.9473934Z mask (Tensor): binary mask to be applied to the parameter. 2024-08-20T21:40:32.9474022Z 2024-08-20T21:40:32.9474119Z Returns: 2024-08-20T21:40:32.9474429Z module (nn.Module): modified (i.e. pruned) version of the input module 2024-08-20T21:40:32.9474517Z 2024-08-20T21:40:32.9474612Z Examples: 2024-08-20T21:40:32.9474779Z >>> from torch.nn.utils import prune 2024-08-20T21:40:32.9474916Z >>> m = prune.custom_from_mask( 2024-08-20T21:40:32.9475233Z ... nn.Linear(5, 3), name='bias', mask=torch.tensor([0, 1, 0]) 2024-08-20T21:40:32.9475344Z ... ) 2024-08-20T21:40:32.9475490Z >>> print(m.bias_mask) 2024-08-20T21:40:32.9475599Z tensor([0., 1., 0.]) 2024-08-20T21:40:32.9475698Z 2024-08-20T21:40:32.9475788Z 2024-08-20T21:40:32.9476192Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9476296Z 2024-08-20T21:40:32.9476409Z warnings.warn(msg) 2024-08-20T21:40:32.9476497Z 2024-08-20T21:40:32.9476721Z --- Parse Warning: 71 / 101 --- 2024-08-20T21:40:32.9478106Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=AveragedModel in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/swa_utils.py line=106. 2024-08-20T21:40:32.9478533Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9479064Z Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA). 2024-08-20T21:40:32.9479152Z 2024-08-20T21:40:32.9479480Z Stochastic Weight Averaging was proposed in `Averaging Weights Leads to 2024-08-20T21:40:32.9479770Z Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii 2024-08-20T21:40:32.9480045Z Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson 2024-08-20T21:40:32.9480160Z (UAI 2018). 2024-08-20T21:40:32.9480245Z 2024-08-20T21:40:32.9480519Z Exponential Moving Average is a variation of `Polyak averaging`_, 2024-08-20T21:40:32.9480847Z but using exponential weights instead of equal weights across iterations. 2024-08-20T21:40:32.9480930Z 2024-08-20T21:40:32.9481255Z AveragedModel class creates a copy of the provided module :attr:`model` 2024-08-20T21:40:32.9481572Z on the device :attr:`device` and allows to compute running averages of the 2024-08-20T21:40:32.9481703Z parameters of the :attr:`model`. 2024-08-20T21:40:32.9481805Z 2024-08-20T21:40:32.9481896Z Args: 2024-08-20T21:40:32.9482099Z model (torch.nn.Module): model to use with SWA/EMA 2024-08-20T21:40:32.9482424Z device (torch.device, optional): if provided, the averaged model will be 2024-08-20T21:40:32.9482562Z stored on the :attr:`device` 2024-08-20T21:40:32.9482862Z avg_fn (function, optional): the averaging function used to update 2024-08-20T21:40:32.9483141Z parameters; the function must take in the current value of the 2024-08-20T21:40:32.9483427Z :class:`AveragedModel` parameter, the current value of :attr:`model` 2024-08-20T21:40:32.9483703Z parameter, and the number of models already averaged; if None, 2024-08-20T21:40:32.9483914Z an equally weighted average is used (default: None) 2024-08-20T21:40:32.9484215Z multi_avg_fn (function, optional): the averaging function used to update 2024-08-20T21:40:32.9484547Z parameters inplace; the function must take in the current values of the 2024-08-20T21:40:32.9484909Z :class:`AveragedModel` parameters as a list, the current values of :attr:`model` 2024-08-20T21:40:32.9485229Z parameters as a list, and the number of models already averaged; if None, 2024-08-20T21:40:32.9485448Z an equally weighted average is used (default: None) 2024-08-20T21:40:32.9485730Z use_buffers (bool): if ``True``, it will compute running averages for 2024-08-20T21:40:32.9486045Z both the parameters and the buffers of the model. (default: ``False``) 2024-08-20T21:40:32.9486131Z 2024-08-20T21:40:32.9486225Z Example: 2024-08-20T21:40:32.9486406Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:32.9486571Z >>> loader, optimizer, model, loss_fn = ... 2024-08-20T21:40:32.9486802Z >>> swa_model = torch.optim.swa_utils.AveragedModel(model) 2024-08-20T21:40:32.9487111Z >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, 2024-08-20T21:40:32.9487318Z >>> T_max=300) 2024-08-20T21:40:32.9487424Z >>> swa_start = 160 2024-08-20T21:40:32.9487623Z >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05) 2024-08-20T21:40:32.9487742Z >>> for i in range(300): 2024-08-20T21:40:32.9487885Z >>> for input, target in loader: 2024-08-20T21:40:32.9488041Z >>> optimizer.zero_grad() 2024-08-20T21:40:32.9488218Z >>> loss_fn(model(input), target).backward() 2024-08-20T21:40:32.9488344Z >>> optimizer.step() 2024-08-20T21:40:32.9488475Z >>> if i > swa_start: 2024-08-20T21:40:32.9488642Z >>> swa_model.update_parameters(model) 2024-08-20T21:40:32.9488801Z >>> swa_scheduler.step() 2024-08-20T21:40:32.9488900Z >>> else: 2024-08-20T21:40:32.9489071Z >>> scheduler.step() 2024-08-20T21:40:32.9489176Z >>> 2024-08-20T21:40:32.9489380Z >>> # Update bn statistics for the swa_model at the end 2024-08-20T21:40:32.9489591Z >>> torch.optim.swa_utils.update_bn(loader, swa_model) 2024-08-20T21:40:32.9496173Z 2024-08-20T21:40:32.9496666Z You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters. 2024-08-20T21:40:32.9496944Z If no averaging function is provided, the default is to compute 2024-08-20T21:40:32.9497259Z equally-weighted average of the weights (SWA). 2024-08-20T21:40:32.9497352Z 2024-08-20T21:40:32.9497455Z Example: 2024-08-20T21:40:32.9497646Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:32.9497927Z >>> # Compute exponential moving averages of the weights and buffers 2024-08-20T21:40:32.9498160Z >>> ema_model = torch.optim.swa_utils.AveragedModel(model, 2024-08-20T21:40:32.9498476Z >>> torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True) 2024-08-20T21:40:32.9498574Z 2024-08-20T21:40:32.9498684Z .. note:: 2024-08-20T21:40:32.9499006Z When using SWA/EMA with models containing Batch Normalization you may 2024-08-20T21:40:32.9499295Z need to update the activation statistics for Batch Normalization. 2024-08-20T21:40:32.9499713Z This can be done either by using the :meth:`torch.optim.swa_utils.update_bn` 2024-08-20T21:40:32.9500046Z or by setting :attr:`use_buffers` to `True`. The first approach updates the 2024-08-20T21:40:32.9500577Z statistics in a post-training step by passing data through the model. The 2024-08-20T21:40:32.9500922Z second does it during the parameter update phase by averaging all buffers. 2024-08-20T21:40:32.9501259Z Empirical evidence has shown that updating the statistics in normalization 2024-08-20T21:40:32.9501564Z layers increases accuracy, but you may wish to empirically test which 2024-08-20T21:40:32.9501784Z approach yields the best results in your problem. 2024-08-20T21:40:32.9501877Z 2024-08-20T21:40:32.9501976Z .. note:: 2024-08-20T21:40:32.9502374Z :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model. 2024-08-20T21:40:32.9502470Z 2024-08-20T21:40:32.9502570Z .. note:: 2024-08-20T21:40:32.9502856Z When :meth:`update_parameters` is called for the first time (i.e. 2024-08-20T21:40:32.9503109Z :attr:`n_averaged` is `0`) the parameters of `model` are copied 2024-08-20T21:40:32.9503396Z to the parameters of :class:`AveragedModel`. For every subsequent 2024-08-20T21:40:32.9503654Z call of :meth:`update_parameters` the function `avg_fn` is used 2024-08-20T21:40:32.9503787Z to update the parameters. 2024-08-20T21:40:32.9503887Z 2024-08-20T21:40:32.9504188Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2024-08-20T21:40:32.9504394Z https://arxiv.org/abs/1803.05407 2024-08-20T21:40:32.9504730Z .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should 2024-08-20T21:40:32.9504834Z Average: 2024-08-20T21:40:32.9504982Z https://arxiv.org/abs/1806.05594 2024-08-20T21:40:32.9505349Z .. _SWALP: Stochastic Weight Averaging in Low-Precision Training: 2024-08-20T21:40:32.9505497Z https://arxiv.org/abs/1904.11943 2024-08-20T21:40:32.9505866Z .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That 2024-08-20T21:40:32.9505994Z Generalizes Well: 2024-08-20T21:40:32.9506143Z https://arxiv.org/abs/2001.02312 2024-08-20T21:40:32.9506269Z .. _Polyak averaging: 2024-08-20T21:40:32.9506557Z https://paperswithcode.com/method/polyak-averaging 2024-08-20T21:40:32.9506654Z 2024-08-20T21:40:32.9507147Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9507241Z 2024-08-20T21:40:32.9507356Z warnings.warn(msg) 2024-08-20T21:40:32.9507456Z 2024-08-20T21:40:32.9507676Z --- Parse Warning: 72 / 101 --- 2024-08-20T21:40:32.9509011Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SWALR in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/swa_utils.py line=357. 2024-08-20T21:40:32.9509445Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9509735Z Anneals the learning rate in each parameter group to a fixed value. 2024-08-20T21:40:32.9509822Z 2024-08-20T21:40:32.9510146Z This learning rate scheduler is meant to be used with Stochastic Weight 2024-08-20T21:40:32.9510433Z Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`). 2024-08-20T21:40:32.9510534Z 2024-08-20T21:40:32.9510635Z Args: 2024-08-20T21:40:32.9510863Z optimizer (torch.optim.Optimizer): wrapped optimizer 2024-08-20T21:40:32.9511163Z swa_lrs (float or list): the learning rate value for all param groups 2024-08-20T21:40:32.9511337Z together or separately for each group. 2024-08-20T21:40:32.9511633Z annealing_epochs (int): number of epochs in the annealing phase 2024-08-20T21:40:32.9511752Z (default: 10) 2024-08-20T21:40:32.9512042Z annealing_strategy (str): "cos" or "linear"; specifies the annealing 2024-08-20T21:40:32.9512325Z strategy: "cos" for cosine annealing, "linear" for linear annealing 2024-08-20T21:40:32.9512452Z (default: "cos") 2024-08-20T21:40:32.9512771Z last_epoch (int): the index of the last epoch (default: -1) 2024-08-20T21:40:32.9512861Z 2024-08-20T21:40:32.9513114Z The :class:`SWALR` scheduler can be used together with other 2024-08-20T21:40:32.9513418Z schedulers to switch to a constant learning rate late in the training 2024-08-20T21:40:32.9513552Z as in the example below. 2024-08-20T21:40:32.9513642Z 2024-08-20T21:40:32.9513742Z Example: 2024-08-20T21:40:32.9513926Z >>> # xdoctest: +SKIP("Undefined variables") 2024-08-20T21:40:32.9514081Z >>> loader, optimizer, model = ... 2024-08-20T21:40:32.9514230Z >>> lr_lambda = lambda epoch: 0.9 2024-08-20T21:40:32.9514538Z >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer, 2024-08-20T21:40:32.9514669Z >>> lr_lambda=lr_lambda) 2024-08-20T21:40:32.9514897Z >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer, 2024-08-20T21:40:32.9515143Z >>> anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05) 2024-08-20T21:40:32.9515257Z >>> swa_start = 160 2024-08-20T21:40:32.9515377Z >>> for i in range(300): 2024-08-20T21:40:32.9515541Z >>> for input, target in loader: 2024-08-20T21:40:32.9515717Z >>> optimizer.zero_grad() 2024-08-20T21:40:32.9515896Z >>> loss_fn(model(input), target).backward() 2024-08-20T21:40:32.9516040Z >>> optimizer.step() 2024-08-20T21:40:32.9516164Z >>> if i > swa_start: 2024-08-20T21:40:32.9516321Z >>> swa_scheduler.step() 2024-08-20T21:40:32.9516425Z >>> else: 2024-08-20T21:40:32.9516555Z >>> scheduler.step() 2024-08-20T21:40:32.9516656Z 2024-08-20T21:40:32.9516952Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2024-08-20T21:40:32.9517103Z https://arxiv.org/abs/1803.05407 2024-08-20T21:40:32.9517206Z 2024-08-20T21:40:32.9517614Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9517705Z 2024-08-20T21:40:32.9517830Z warnings.warn(msg) 2024-08-20T21:40:32.9517972Z 2024-08-20T21:40:32.9518195Z --- Parse Warning: 73 / 101 --- 2024-08-20T21:40:32.9519639Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_pytree_node in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py line=111. 2024-08-20T21:40:32.9520061Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9520308Z Register a container-like type as pytree node. 2024-08-20T21:40:32.9520401Z 2024-08-20T21:40:32.9520500Z Args: 2024-08-20T21:40:32.9520773Z cls (type): A Python type to treat as an internal pytree node. 2024-08-20T21:40:32.9521151Z flatten_fn (callable): A function to be used during flattening, taking an instance of 2024-08-20T21:40:32.9521514Z ``cls`` and returning a pair, with (1) an iterable for the children to be flattened 2024-08-20T21:40:32.9521929Z recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be 2024-08-20T21:40:32.9522081Z passed to the ``unflatten_fn``. 2024-08-20T21:40:32.9522457Z unflatten_fn (callable): A function taking two arguments: the auxiliary data that was 2024-08-20T21:40:32.9522839Z returned by ``flatten_fn`` and stored in the treespec, and the unflattened children. 2024-08-20T21:40:32.9523092Z The function should return an instance of ``cls``. 2024-08-20T21:40:32.9523461Z serialized_type_name (str, optional): A keyword argument used to specify the fully 2024-08-20T21:40:32.9523678Z qualified name used when serializing the tree spec. 2024-08-20T21:40:32.9524089Z to_dumpable_context (callable, optional): An optional keyword argument to custom specify how 2024-08-20T21:40:32.9524496Z to convert the context of the pytree to a custom json dumpable representation. This is 2024-08-20T21:40:32.9524876Z used for json serialization, which is being used in :mod:`torch.export` right now. 2024-08-20T21:40:32.9525277Z from_dumpable_context (callable, optional): An optional keyword argument to custom specify 2024-08-20T21:40:32.9525870Z how to convert the custom json dumpable representation of the context back to the 2024-08-20T21:40:32.9526240Z original context. This is used for json deserialization, which is being used in 2024-08-20T21:40:32.9526404Z :mod:`torch.export` right now. 2024-08-20T21:40:32.9526492Z 2024-08-20T21:40:32.9526599Z Example:: 2024-08-20T21:40:32.9526701Z 2024-08-20T21:40:32.9526819Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.9527013Z >>> # Registry a Python type with lambda functions 2024-08-20T21:40:32.9527148Z >>> register_pytree_node( 2024-08-20T21:40:32.9527249Z ... set, 2024-08-20T21:40:32.9527419Z ... lambda s: (sorted(s), None, None), 2024-08-20T21:40:32.9527670Z ... lambda children, _: set(children), 2024-08-20T21:40:32.9527767Z ... ) 2024-08-20T21:40:32.9527861Z 2024-08-20T21:40:32.9528292Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9528379Z 2024-08-20T21:40:32.9528496Z warnings.warn(msg) 2024-08-20T21:40:32.9528597Z 2024-08-20T21:40:32.9528809Z --- Parse Warning: 74 / 101 --- 2024-08-20T21:40:32.9530314Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SelectiveCheckpointContext in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1201. 2024-08-20T21:40:32.9530733Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9530825Z 2024-08-20T21:40:32.9531116Z Context passed to policy function during selective checkpointing. 2024-08-20T21:40:32.9531273Z 2024-08-20T21:40:32.9531603Z This class is used to pass relevant metadata to the policy function during 2024-08-20T21:40:32.9531953Z selective checkpointing. The metadata includes whether the current invocation 2024-08-20T21:40:32.9532172Z of the policy function is during recomputation or not. 2024-08-20T21:40:32.9532265Z 2024-08-20T21:40:32.9532374Z Example: 2024-08-20T21:40:32.9532497Z >>> # xdoctest: +SKIP(stub) 2024-08-20T21:40:32.9532594Z >>> 2024-08-20T21:40:32.9532775Z >>> def policy_fn(ctx, op, *args, **kwargs): 2024-08-20T21:40:32.9532902Z >>> print(ctx.is_recompute) 2024-08-20T21:40:32.9533007Z >>> 2024-08-20T21:40:32.9533361Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2024-08-20T21:40:32.9533457Z >>> 2024-08-20T21:40:32.9533662Z >>> out = torch.utils.checkpoint.checkpoint( 2024-08-20T21:40:32.9533770Z >>> fn, x, y, 2024-08-20T21:40:32.9533898Z >>> use_reentrant=False, 2024-08-20T21:40:32.9534037Z >>> context_fn=context_fn, 2024-08-20T21:40:32.9534131Z >>> ) 2024-08-20T21:40:32.9534222Z 2024-08-20T21:40:32.9534642Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9534733Z 2024-08-20T21:40:32.9534883Z warnings.warn(msg) 2024-08-20T21:40:32.9534981Z 2024-08-20T21:40:32.9535198Z --- Parse Warning: 75 / 101 --- 2024-08-20T21:40:32.9536720Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1335. 2024-08-20T21:40:32.9537146Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9537239Z 2024-08-20T21:40:32.9537571Z Helper to avoid recomputing certain ops during activation checkpointing. 2024-08-20T21:40:32.9537665Z 2024-08-20T21:40:32.9537962Z Use this with `torch.utils.checkpoint.checkpoint` to control which 2024-08-20T21:40:32.9538173Z operations are recomputed during the backward pass. 2024-08-20T21:40:32.9538265Z 2024-08-20T21:40:32.9538361Z Args: 2024-08-20T21:40:32.9538524Z policy_fn_or_list (Callable or List): 2024-08-20T21:40:32.9538814Z - If a policy function is provided, it should accept a 2024-08-20T21:40:32.9539127Z :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and 2024-08-20T21:40:32.9539432Z kwargs to the op, and return a :class:`CheckpointPolicy` enum value 2024-08-20T21:40:32.9539750Z indicating whether the execution of the op should be recomputed or not. 2024-08-20T21:40:32.9540110Z - If a list of operations is provided, it is equivalent to a policy 2024-08-20T21:40:32.9540360Z returning `CheckpointPolicy.MUST_SAVE` for the specified 2024-08-20T21:40:32.9540729Z operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other 2024-08-20T21:40:32.9540887Z operations. 2024-08-20T21:40:32.9541169Z allow_cache_entry_mutation (bool, optional): By default, an error is 2024-08-20T21:40:32.9541464Z raised if any tensors cached by selective activation checkpoint are 2024-08-20T21:40:32.9541772Z mutated in order to ensure correctness. If set to `True`, this check 2024-08-20T21:40:32.9541883Z is disabled. 2024-08-20T21:40:32.9541984Z Returns: 2024-08-20T21:40:32.9542133Z A tuple of two context managers. 2024-08-20T21:40:32.9542221Z 2024-08-20T21:40:32.9542318Z Example: 2024-08-20T21:40:32.9542464Z >>> # xdoctest: +REQUIRES(LINUX) 2024-08-20T21:40:32.9542577Z >>> import functools 2024-08-20T21:40:32.9542672Z >>> 2024-08-20T21:40:32.9542848Z >>> x = torch.rand(10, 10, requires_grad=True) 2024-08-20T21:40:32.9543063Z >>> y = torch.rand(10, 10, requires_grad=True) 2024-08-20T21:40:32.9543166Z >>> 2024-08-20T21:40:32.9543287Z >>> ops_to_save = [ 2024-08-20T21:40:32.9543432Z >>> torch.ops.aten.mm.default, 2024-08-20T21:40:32.9543529Z >>> ] 2024-08-20T21:40:32.9543629Z >>> 2024-08-20T21:40:32.9543796Z >>> def policy_fn(ctx, op, *args, **kwargs): 2024-08-20T21:40:32.9543931Z >>> if op in ops_to_save: 2024-08-20T21:40:32.9544101Z >>> return CheckpointPolicy.MUST_SAVE 2024-08-20T21:40:32.9544201Z >>> else: 2024-08-20T21:40:32.9544410Z >>> return CheckpointPolicy.PREFER_RECOMPUTE 2024-08-20T21:40:32.9544505Z >>> 2024-08-20T21:40:32.9544862Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2024-08-20T21:40:32.9544970Z >>> 2024-08-20T21:40:32.9545082Z >>> # or equivalently 2024-08-20T21:40:32.9545451Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save) 2024-08-20T21:40:32.9545558Z >>> 2024-08-20T21:40:32.9545667Z >>> def fn(x, y): 2024-08-20T21:40:32.9545931Z >>> return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y 2024-08-20T21:40:32.9546032Z >>> 2024-08-20T21:40:32.9546223Z >>> out = torch.utils.checkpoint.checkpoint( 2024-08-20T21:40:32.9546357Z >>> fn, x, y, 2024-08-20T21:40:32.9546486Z >>> use_reentrant=False, 2024-08-20T21:40:32.9546611Z >>> context_fn=context_fn, 2024-08-20T21:40:32.9546705Z >>> ) 2024-08-20T21:40:32.9546804Z 2024-08-20T21:40:32.9547226Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9547325Z 2024-08-20T21:40:32.9547437Z warnings.warn(msg) 2024-08-20T21:40:32.9547528Z 2024-08-20T21:40:32.9547752Z --- Parse Warning: 76 / 101 --- 2024-08-20T21:40:32.9549173Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CppExtension in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=925. 2024-08-20T21:40:32.9549596Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9549694Z 2024-08-20T21:40:32.9549880Z Create a :class:`setuptools.Extension` for C++. 2024-08-20T21:40:32.9549973Z 2024-08-20T21:40:32.9550298Z Convenience method that creates a :class:`setuptools.Extension` with the 2024-08-20T21:40:32.9550597Z bare minimum (but often sufficient) arguments to build a C++ extension. 2024-08-20T21:40:32.9550688Z 2024-08-20T21:40:32.9550970Z All arguments are forwarded to the :class:`setuptools.Extension` 2024-08-20T21:40:32.9551161Z constructor. Full list arguments can be found at 2024-08-20T21:40:32.9551687Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2024-08-20T21:40:32.9551780Z 2024-08-20T21:40:32.9551885Z Example: 2024-08-20T21:40:32.9552054Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.9552247Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-08-20T21:40:32.9552387Z >>> from setuptools import setup 2024-08-20T21:40:32.9552691Z >>> from torch.utils.cpp_extension import BuildExtension, CppExtension 2024-08-20T21:40:32.9552794Z >>> setup( 2024-08-20T21:40:32.9552959Z ... name='extension', 2024-08-20T21:40:32.9553079Z ... ext_modules=[ 2024-08-20T21:40:32.9553195Z ... CppExtension( 2024-08-20T21:40:32.9553370Z ... name='extension', 2024-08-20T21:40:32.9553589Z ... sources=['extension.cpp'], 2024-08-20T21:40:32.9553792Z ... extra_compile_args=['-g'], 2024-08-20T21:40:32.9554062Z ... extra_link_flags=['-Wl,--no-as-needed', '-lm']) 2024-08-20T21:40:32.9554168Z ... ], 2024-08-20T21:40:32.9554277Z ... cmdclass={ 2024-08-20T21:40:32.9554535Z ... 'build_ext': BuildExtension 2024-08-20T21:40:32.9554635Z ... }) 2024-08-20T21:40:32.9554727Z 2024-08-20T21:40:32.9555141Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9555230Z 2024-08-20T21:40:32.9555342Z warnings.warn(msg) 2024-08-20T21:40:32.9555444Z 2024-08-20T21:40:32.9555660Z --- Parse Warning: 77 / 101 --- 2024-08-20T21:40:32.9557071Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CUDAExtension in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=976. 2024-08-20T21:40:32.9557500Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9557592Z 2024-08-20T21:40:32.9557801Z Create a :class:`setuptools.Extension` for CUDA/C++. 2024-08-20T21:40:32.9557899Z 2024-08-20T21:40:32.9558220Z Convenience method that creates a :class:`setuptools.Extension` with the 2024-08-20T21:40:32.9558492Z bare minimum (but often sufficient) arguments to build a CUDA/C++ 2024-08-20T21:40:32.9558817Z extension. This includes the CUDA include path, library path and runtime 2024-08-20T21:40:32.9558916Z library. 2024-08-20T21:40:32.9559016Z 2024-08-20T21:40:32.9559323Z All arguments are forwarded to the :class:`setuptools.Extension` 2024-08-20T21:40:32.9559511Z constructor. Full list arguments can be found at 2024-08-20T21:40:32.9560036Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2024-08-20T21:40:32.9560127Z 2024-08-20T21:40:32.9560223Z Example: 2024-08-20T21:40:32.9560350Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.9560546Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-08-20T21:40:32.9560682Z >>> from setuptools import setup 2024-08-20T21:40:32.9560999Z >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension 2024-08-20T21:40:32.9561102Z >>> setup( 2024-08-20T21:40:32.9561272Z ... name='cuda_extension', 2024-08-20T21:40:32.9561396Z ... ext_modules=[ 2024-08-20T21:40:32.9561515Z ... CUDAExtension( 2024-08-20T21:40:32.9561717Z ... name='cuda_extension', 2024-08-20T21:40:32.9562023Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2024-08-20T21:40:32.9562261Z ... extra_compile_args={'cxx': ['-g'], 2024-08-20T21:40:32.9562504Z ... 'nvcc': ['-O2']}, 2024-08-20T21:40:32.9562794Z ... extra_link_flags=['-Wl,--no-as-needed', '-lcuda']) 2024-08-20T21:40:32.9562891Z ... ], 2024-08-20T21:40:32.9563009Z ... cmdclass={ 2024-08-20T21:40:32.9563209Z ... 'build_ext': BuildExtension 2024-08-20T21:40:32.9563306Z ... }) 2024-08-20T21:40:32.9563409Z 2024-08-20T21:40:32.9563534Z Compute capabilities: 2024-08-20T21:40:32.9563653Z 2024-08-20T21:40:32.9564100Z By default the extension will be compiled to run on all archs of the cards visible during the 2024-08-20T21:40:32.9564509Z building process of the extension, plus PTX. If down the road a new card is installed the 2024-08-20T21:40:32.9564968Z extension may need to be recompiled. If a visible card has a compute capability (CC) that's 2024-08-20T21:40:32.9565485Z newer than the newest version for which your nvcc can build fully-compiled binaries, Pytorch 2024-08-20T21:40:32.9565895Z will make nvcc fall back to building kernels with the newest version of PTX your nvcc does 2024-08-20T21:40:32.9566058Z support (see below for details on PTX). 2024-08-20T21:40:32.9566149Z 2024-08-20T21:40:32.9566578Z You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which 2024-08-20T21:40:32.9566735Z CCs you want the extension to support: 2024-08-20T21:40:32.9566880Z 2024-08-20T21:40:32.9567129Z ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py`` 2024-08-20T21:40:32.9567490Z ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py`` 2024-08-20T21:40:32.9567580Z 2024-08-20T21:40:32.9568016Z The +PTX option causes extension kernel binaries to include PTX instructions for the specified 2024-08-20T21:40:32.9568556Z CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >= 2024-08-20T21:40:32.9569082Z the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with 2024-08-20T21:40:32.9569598Z CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to 2024-08-20T21:40:32.9570118Z provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on 2024-08-20T21:40:32.9570628Z those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better 2024-08-20T21:40:32.9571076Z off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6, 2024-08-20T21:40:32.9571603Z "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but 2024-08-20T21:40:32.9571721Z "8.0 8.6" would be better. 2024-08-20T21:40:32.9571864Z 2024-08-20T21:40:32.9572377Z Note that while it's possible to include all supported archs, the more archs get included the 2024-08-20T21:40:32.9572807Z slower the building process will be, as it will build a separate kernel image for each arch. 2024-08-20T21:40:32.9572897Z 2024-08-20T21:40:32.9573460Z Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows. 2024-08-20T21:40:32.9573763Z To workaround the issue, move python binding logic to pure C++ file. 2024-08-20T21:40:32.9573854Z 2024-08-20T21:40:32.9573958Z Example use: 2024-08-20T21:40:32.9574085Z #include 2024-08-20T21:40:32.9574293Z at::Tensor SigmoidAlphaBlendForwardCuda(....) 2024-08-20T21:40:32.9574385Z 2024-08-20T21:40:32.9574495Z Instead of: 2024-08-20T21:40:32.9574622Z #include 2024-08-20T21:40:32.9574832Z torch::Tensor SigmoidAlphaBlendForwardCuda(...) 2024-08-20T21:40:32.9574935Z 2024-08-20T21:40:32.9575307Z Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460 2024-08-20T21:40:32.9575970Z Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48 2024-08-20T21:40:32.9576067Z 2024-08-20T21:40:32.9576201Z Relocatable device code linking: 2024-08-20T21:40:32.9576302Z 2024-08-20T21:40:32.9576692Z If you want to reference device symbols across compilation units (across object files), 2024-08-20T21:40:32.9577149Z the object files need to be built with `relocatable device code` (-rdc=true or -dc). 2024-08-20T21:40:32.9577672Z An exception to this rule is "dynamic parallelism" (nested kernel launches) which is not used a lot anymore. 2024-08-20T21:40:32.9578184Z `Relocatable device code` is less optimized so it needs to be used only on object files that need it. 2024-08-20T21:40:32.9578715Z Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step 2024-08-20T21:40:32.9579027Z help reduce the protentional perf degradation of `-rdc`. 2024-08-20T21:40:32.9579255Z Note that it needs to be used at both steps to be useful. 2024-08-20T21:40:32.9579347Z 2024-08-20T21:40:32.9580005Z If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step. 2024-08-20T21:40:32.9580309Z There is also a case where `-dlink` is used without `-rdc`: 2024-08-20T21:40:32.9580886Z when an extension is linked against a static lib containing rdc-compiled objects 2024-08-20T21:40:32.9581238Z like the [NVSHMEM library](https://developer.nvidia.com/nvshmem). 2024-08-20T21:40:32.9581333Z 2024-08-20T21:40:32.9581625Z Note: Ninja is required to build a CUDA Extension with RDC linking. 2024-08-20T21:40:32.9581714Z 2024-08-20T21:40:32.9581815Z Example: 2024-08-20T21:40:32.9581946Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.9582149Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-08-20T21:40:32.9582267Z >>> CUDAExtension( 2024-08-20T21:40:32.9582465Z ... name='cuda_extension', 2024-08-20T21:40:32.9582748Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2024-08-20T21:40:32.9582860Z ... dlink=True, 2024-08-20T21:40:32.9583025Z ... dlink_libraries=["dlink_lib"], 2024-08-20T21:40:32.9583245Z ... extra_compile_args={'cxx': ['-g'], 2024-08-20T21:40:32.9583500Z ... 'nvcc': ['-O2', '-rdc=true']}) 2024-08-20T21:40:32.9583589Z 2024-08-20T21:40:32.9584001Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9584106Z 2024-08-20T21:40:32.9584218Z warnings.warn(msg) 2024-08-20T21:40:32.9584309Z 2024-08-20T21:40:32.9584535Z --- Parse Warning: 78 / 101 --- 2024-08-20T21:40:32.9585893Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1234. 2024-08-20T21:40:32.9586343Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9586448Z 2024-08-20T21:40:32.9586696Z Load a PyTorch C++ extension just-in-time (JIT). 2024-08-20T21:40:32.9586786Z 2024-08-20T21:40:32.9587089Z To load an extension, a Ninja build file is emitted, which is used to 2024-08-20T21:40:32.9587362Z compile the given sources into a dynamic library. This library is 2024-08-20T21:40:32.9587671Z subsequently loaded into the current Python process as a module and 2024-08-20T21:40:32.9587838Z returned from this function, ready for use. 2024-08-20T21:40:32.9587926Z 2024-08-20T21:40:32.9588226Z By default, the directory to which the build file is emitted and the 2024-08-20T21:40:32.9588535Z resulting library compiled to is ``/torch_extensions/``, where 2024-08-20T21:40:32.9588822Z ```` is the temporary folder on the current platform and ```` 2024-08-20T21:40:32.9589139Z the name of the extension. This location can be overridden in two ways. 2024-08-20T21:40:32.9589425Z First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it 2024-08-20T21:40:32.9589712Z replaces ``/torch_extensions`` and all extensions will be compiled 2024-08-20T21:40:32.9590018Z into subfolders of this directory. Second, if the ``build_directory`` 2024-08-20T21:40:32.9590333Z argument to this function is supplied, it overrides the entire path, i.e. 2024-08-20T21:40:32.9590573Z the library will be compiled into that folder directly. 2024-08-20T21:40:32.9590692Z 2024-08-20T21:40:32.9590983Z To compile the sources, the default system compiler (``c++``) is used, 2024-08-20T21:40:32.9591332Z which can be overridden by setting the ``CXX`` environment variable. To pass 2024-08-20T21:40:32.9591626Z additional arguments to the compilation process, ``extra_cflags`` or 2024-08-20T21:40:32.9591928Z ``extra_ldflags`` can be provided. For example, to compile your extension 2024-08-20T21:40:32.9592293Z with optimizations, pass ``extra_cflags=['-O3']``. You can also use 2024-08-20T21:40:32.9592495Z ``extra_cflags`` to pass further include directories. 2024-08-20T21:40:32.9592587Z 2024-08-20T21:40:32.9592917Z CUDA support with mixed compilation is provided. Simply pass CUDA source 2024-08-20T21:40:32.9593180Z files (``.cu`` or ``.cuh``) along with other sources. Such files will be 2024-08-20T21:40:32.9593562Z detected and compiled with nvcc rather than the C++ compiler. This includes 2024-08-20T21:40:32.9593872Z passing the CUDA lib64 directory as a library directory, and linking 2024-08-20T21:40:32.9594073Z ``cudart``. You can pass additional flags to nvcc via 2024-08-20T21:40:32.9594362Z ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various 2024-08-20T21:40:32.9594681Z heuristics for finding the CUDA install directory are used, which usually 2024-08-20T21:40:32.9594978Z work fine. If not, setting the ``CUDA_HOME`` environment variable is the 2024-08-20T21:40:32.9595095Z safest option. 2024-08-20T21:40:32.9595182Z 2024-08-20T21:40:32.9595276Z Args: 2024-08-20T21:40:32.9595589Z name: The name of the extension to build. This MUST be the same as the 2024-08-20T21:40:32.9595723Z name of the pybind11 module! 2024-08-20T21:40:32.9596001Z sources: A list of relative or absolute paths to C++ source files. 2024-08-20T21:40:32.9596318Z extra_cflags: optional list of compiler flags to forward to the build. 2024-08-20T21:40:32.9596609Z extra_cuda_cflags: optional list of compiler flags to forward to nvcc 2024-08-20T21:40:32.9596753Z when building CUDA sources. 2024-08-20T21:40:32.9597046Z extra_ldflags: optional list of linker flags to forward to the build. 2024-08-20T21:40:32.9597368Z extra_include_paths: optional list of include directories to forward 2024-08-20T21:40:32.9597489Z to the build. 2024-08-20T21:40:32.9597724Z build_directory: optional path to use as build workspace. 2024-08-20T21:40:32.9597965Z verbose: If ``True``, turns on verbose logging of load steps. 2024-08-20T21:40:32.9598271Z with_cuda: Determines whether CUDA headers and libraries are added to 2024-08-20T21:40:32.9598488Z the build. If set to ``None`` (default), this value is 2024-08-20T21:40:32.9598752Z automatically determined based on the existence of ``.cu`` or 2024-08-20T21:40:32.9599012Z ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers 2024-08-20T21:40:32.9599151Z and libraries to be included. 2024-08-20T21:40:32.9599440Z is_python_module: If ``True`` (default), imports the produced shared 2024-08-20T21:40:32.9599702Z library as a Python module. If ``False``, behavior depends on 2024-08-20T21:40:32.9599815Z ``is_standalone``. 2024-08-20T21:40:32.9600115Z is_standalone: If ``False`` (default) loads the constructed extension 2024-08-20T21:40:32.9600395Z into the process as a plain dynamic library. If ``True``, build a 2024-08-20T21:40:32.9600517Z standalone executable. 2024-08-20T21:40:32.9600620Z 2024-08-20T21:40:32.9600719Z Returns: 2024-08-20T21:40:32.9600865Z If ``is_python_module`` is ``True``: 2024-08-20T21:40:32.9601120Z Returns the loaded PyTorch extension as a Python module. 2024-08-20T21:40:32.9601211Z 2024-08-20T21:40:32.9601497Z If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``: 2024-08-20T21:40:32.9601824Z Returns nothing. (The shared library is loaded into the process as 2024-08-20T21:40:32.9601938Z a side effect.) 2024-08-20T21:40:32.9602030Z 2024-08-20T21:40:32.9602178Z If ``is_standalone`` is ``True``. 2024-08-20T21:40:32.9602456Z Return the path to the executable. (On Windows, TORCH_LIB_PATH is 2024-08-20T21:40:32.9602709Z added to the PATH environment variable as a side effect.) 2024-08-20T21:40:32.9602799Z 2024-08-20T21:40:32.9602896Z Example: 2024-08-20T21:40:32.9603023Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.9603206Z >>> from torch.utils.cpp_extension import load 2024-08-20T21:40:32.9603313Z >>> module = load( 2024-08-20T21:40:32.9603493Z ... name='extension', 2024-08-20T21:40:32.9603767Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2024-08-20T21:40:32.9603933Z ... extra_cflags=['-O2'], 2024-08-20T21:40:32.9604106Z ... verbose=True) 2024-08-20T21:40:32.9604197Z 2024-08-20T21:40:32.9604598Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9604700Z 2024-08-20T21:40:32.9604811Z warnings.warn(msg) 2024-08-20T21:40:32.9604896Z 2024-08-20T21:40:32.9605126Z --- Parse Warning: 79 / 101 --- 2024-08-20T21:40:32.9606527Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_inline in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1523. 2024-08-20T21:40:32.9606955Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9607047Z 2024-08-20T21:40:32.9607404Z Load a PyTorch C++ extension just-in-time (JIT) from string sources. 2024-08-20T21:40:32.9607509Z 2024-08-20T21:40:32.9607827Z This function behaves exactly like :func:`load`, but takes its sources as 2024-08-20T21:40:32.9608133Z strings rather than filenames. These strings are stored to files in the 2024-08-20T21:40:32.9608427Z build directory, after which the behavior of :func:`load_inline` is 2024-08-20T21:40:32.9608547Z identical to :func:`load`. 2024-08-20T21:40:32.9608635Z 2024-08-20T21:40:32.9608777Z See `the 2024-08-20T21:40:32.9609199Z tests `_ 2024-08-20T21:40:32.9609360Z for good examples of using this function. 2024-08-20T21:40:32.9609465Z 2024-08-20T21:40:32.9609867Z Sources may omit two required parts of a typical non-inline C++ extension: 2024-08-20T21:40:32.9610207Z the necessary header includes, as well as the (pybind11) binding code. More 2024-08-20T21:40:32.9610523Z precisely, strings passed to ``cpp_sources`` are first concatenated into a 2024-08-20T21:40:32.9610783Z single ``.cpp`` file. This file is then prepended with ``#include 2024-08-20T21:40:32.9610916Z ``. 2024-08-20T21:40:32.9611007Z 2024-08-20T21:40:32.9611310Z Furthermore, if the ``functions`` argument is supplied, bindings will be 2024-08-20T21:40:32.9611629Z automatically generated for each function specified. ``functions`` can 2024-08-20T21:40:32.9611943Z either be a list of function names, or a dictionary mapping from function 2024-08-20T21:40:32.9612265Z names to docstrings. If a list is given, the name of each function is used 2024-08-20T21:40:32.9612390Z as its docstring. 2024-08-20T21:40:32.9612477Z 2024-08-20T21:40:32.9612775Z The sources in ``cuda_sources`` are concatenated into a separate ``.cu`` 2024-08-20T21:40:32.9613015Z file and prepended with ``torch/types.h``, ``cuda.h`` and 2024-08-20T21:40:32.9613300Z ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled 2024-08-20T21:40:32.9613607Z separately, but ultimately linked into a single library. Note that no 2024-08-20T21:40:32.9613920Z bindings are generated for functions in ``cuda_sources`` per se. To bind 2024-08-20T21:40:32.9614255Z to a CUDA kernel, you must create a C++ function that calls it, and either 2024-08-20T21:40:32.9614564Z declare or define this C++ function in one of the ``cpp_sources`` (and 2024-08-20T21:40:32.9614699Z include its name in ``functions``). 2024-08-20T21:40:32.9614791Z 2024-08-20T21:40:32.9615055Z See :func:`load` for a description of arguments omitted below. 2024-08-20T21:40:32.9615141Z 2024-08-20T21:40:32.9615235Z Args: 2024-08-20T21:40:32.9615545Z cpp_sources: A string, or list of strings, containing C++ source code. 2024-08-20T21:40:32.9615848Z cuda_sources: A string, or list of strings, containing CUDA source code. 2024-08-20T21:40:32.9616127Z functions: A list of function names for which to generate function 2024-08-20T21:40:32.9616433Z bindings. If a dictionary is given, it should map function names to 2024-08-20T21:40:32.9616717Z docstrings (which are otherwise just the function names). 2024-08-20T21:40:32.9617024Z with_cuda: Determines whether CUDA headers and libraries are added to 2024-08-20T21:40:32.9617241Z the build. If set to ``None`` (default), this value is 2024-08-20T21:40:32.9617503Z automatically determined based on whether ``cuda_sources`` is 2024-08-20T21:40:32.9617724Z provided. Set it to ``True`` to force CUDA headers 2024-08-20T21:40:32.9617860Z and libraries to be included. 2024-08-20T21:40:32.9618127Z with_pytorch_error_handling: Determines whether pytorch error and 2024-08-20T21:40:32.9618408Z warning macros are handled by pytorch instead of pybind. To do 2024-08-20T21:40:32.9618708Z this, each function ``foo`` is called via an intermediary ``_safe_foo`` 2024-08-20T21:40:32.9618987Z function. This redirection might cause issues in obscure cases 2024-08-20T21:40:32.9619255Z of cpp. This flag should be set to ``False`` when this redirect 2024-08-20T21:40:32.9619367Z causes issues. 2024-08-20T21:40:32.9619472Z 2024-08-20T21:40:32.9619571Z Example: 2024-08-20T21:40:32.9619765Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-08-20T21:40:32.9619986Z >>> from torch.utils.cpp_extension import load_inline 2024-08-20T21:40:32.9620120Z >>> source = """ 2024-08-20T21:40:32.9620311Z at::Tensor sin_add(at::Tensor x, at::Tensor y) { 2024-08-20T21:40:32.9620525Z return x.sin() + y.sin(); 2024-08-20T21:40:32.9620621Z } 2024-08-20T21:40:32.9620716Z """ 2024-08-20T21:40:32.9620982Z >>> module = load_inline(name='inline_extension', 2024-08-20T21:40:32.9621142Z ... cpp_sources=[source], 2024-08-20T21:40:32.9621356Z ... functions=['sin_add']) 2024-08-20T21:40:32.9621458Z 2024-08-20T21:40:32.9621559Z .. note:: 2024-08-20T21:40:32.9621838Z By default, the Ninja backend uses #CPUS + 2 workers to build the 2024-08-20T21:40:32.9622133Z extension. This may use up too many resources on some systems. One 2024-08-20T21:40:32.9622440Z can control the number of workers by setting the `MAX_JOBS` environment 2024-08-20T21:40:32.9622651Z variable to a non-negative number. 2024-08-20T21:40:32.9622742Z 2024-08-20T21:40:32.9623147Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9623251Z 2024-08-20T21:40:32.9623361Z warnings.warn(msg) 2024-08-20T21:40:32.9623449Z 2024-08-20T21:40:32.9623678Z --- Parse Warning: 80 / 101 --- 2024-08-20T21:40:32.9625178Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ThroughputBenchmark in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/throughput_benchmark.py line=61. 2024-08-20T21:40:32.9625602Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9625906Z 2024-08-20T21:40:32.9626315Z This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark. 2024-08-20T21:40:32.9626420Z 2024-08-20T21:40:32.9626811Z This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible 2024-08-20T21:40:32.9627151Z for executing a PyTorch module (nn.Module or ScriptModule) under an inference 2024-08-20T21:40:32.9627502Z server like load. It can emulate multiple calling threads to a single module 2024-08-20T21:40:32.9627842Z provided. In the future we plan to enhance this component to support inter and 2024-08-20T21:40:32.9628258Z intra-op parallelism as well as multiple models running in a single process. 2024-08-20T21:40:32.9628362Z 2024-08-20T21:40:32.9628709Z Please note that even though nn.Module is supported, it might incur an overhead 2024-08-20T21:40:32.9629125Z from the need to hold GIL every time we execute Python code or pass around 2024-08-20T21:40:32.9629461Z inputs as Python objects. As soon as you have a ScriptModule version of your 2024-08-20T21:40:32.9629778Z model for inference deployment it is better to switch to using it in this 2024-08-20T21:40:32.9629893Z benchmark. 2024-08-20T21:40:32.9629983Z 2024-08-20T21:40:32.9630085Z Example:: 2024-08-20T21:40:32.9630189Z 2024-08-20T21:40:32.9630344Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:32.9630528Z >>> from torch.utils import ThroughputBenchmark 2024-08-20T21:40:32.9630710Z >>> bench = ThroughputBenchmark(my_module) 2024-08-20T21:40:32.9630992Z >>> # Pre-populate benchmark's data set with the inputs 2024-08-20T21:40:32.9631112Z >>> for input in inputs: 2024-08-20T21:40:32.9631436Z ... # Both args and kwargs work, same as any PyTorch Module / ScriptModule 2024-08-20T21:40:32.9631605Z ... bench.add_input(input[0], x2=input[1]) 2024-08-20T21:40:32.9631872Z >>> # Inputs supplied above are randomly used during the execution 2024-08-20T21:40:32.9632018Z >>> stats = bench.benchmark( 2024-08-20T21:40:32.9632140Z ... num_calling_threads=4, 2024-08-20T21:40:32.9632279Z ... num_warmup_iters = 100, 2024-08-20T21:40:32.9632394Z ... num_iters = 1000, 2024-08-20T21:40:32.9632527Z ... ) 2024-08-20T21:40:32.9632782Z >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms)) 2024-08-20T21:40:32.9633015Z >>> print("Number of iterations: {}".format(stats.num_iters)) 2024-08-20T21:40:32.9633107Z 2024-08-20T21:40:32.9633529Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9633616Z 2024-08-20T21:40:32.9633728Z warnings.warn(msg) 2024-08-20T21:40:32.9633830Z 2024-08-20T21:40:32.9634045Z --- Parse Warning: 81 / 101 --- 2024-08-20T21:40:32.9635505Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedSampler in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/distributed.py line=17. 2024-08-20T21:40:32.9635934Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9636200Z Sampler that restricts data loading to a subset of the dataset. 2024-08-20T21:40:32.9636305Z 2024-08-20T21:40:32.9636478Z It is especially useful in conjunction with 2024-08-20T21:40:32.9636822Z :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each 2024-08-20T21:40:32.9637200Z process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a 2024-08-20T21:40:32.9637512Z :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the 2024-08-20T21:40:32.9637678Z original dataset that is exclusive to it. 2024-08-20T21:40:32.9637783Z 2024-08-20T21:40:32.9637882Z .. note:: 2024-08-20T21:40:32.9638225Z Dataset is assumed to be of constant size and that any instance of it always 2024-08-20T21:40:32.9638459Z returns the same elements in the same order. 2024-08-20T21:40:32.9638548Z 2024-08-20T21:40:32.9638643Z Args: 2024-08-20T21:40:32.9638814Z dataset: Dataset used for sampling. 2024-08-20T21:40:32.9639096Z num_replicas (int, optional): Number of processes participating in 2024-08-20T21:40:32.9639440Z distributed training. By default, :attr:`world_size` is retrieved from the 2024-08-20T21:40:32.9639580Z current distributed group. 2024-08-20T21:40:32.9639914Z rank (int, optional): Rank of the current process within :attr:`num_replicas`. 2024-08-20T21:40:32.9640205Z By default, :attr:`rank` is retrieved from the current distributed 2024-08-20T21:40:32.9640303Z group. 2024-08-20T21:40:32.9640673Z shuffle (bool, optional): If ``True`` (default), sampler will shuffle the 2024-08-20T21:40:32.9640792Z indices. 2024-08-20T21:40:32.9641057Z seed (int, optional): random seed used to shuffle the sampler if 2024-08-20T21:40:32.9641324Z :attr:`shuffle=True`. This number should be identical across all 2024-08-20T21:40:32.9641556Z processes in the distributed group. Default: ``0``. 2024-08-20T21:40:32.9641851Z drop_last (bool, optional): if ``True``, then the sampler will drop the 2024-08-20T21:40:32.9642142Z tail of the data to make it evenly divisible across the number of 2024-08-20T21:40:32.9642420Z replicas. If ``False``, the sampler will add extra indices to make 2024-08-20T21:40:32.9642702Z the data evenly divisible across the replicas. Default: ``False``. 2024-08-20T21:40:32.9642803Z 2024-08-20T21:40:32.9642906Z .. warning:: 2024-08-20T21:40:32.9643160Z In distributed mode, calling the :meth:`set_epoch` method at 2024-08-20T21:40:32.9643534Z the beginning of each epoch **before** creating the :class:`DataLoader` iterator 2024-08-20T21:40:32.9643891Z is necessary to make shuffling work properly across multiple epochs. Otherwise, 2024-08-20T21:40:32.9644049Z the same ordering will be always used. 2024-08-20T21:40:32.9644155Z 2024-08-20T21:40:32.9644290Z Example:: 2024-08-20T21:40:32.9644380Z 2024-08-20T21:40:32.9644515Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.9644800Z >>> sampler = DistributedSampler(dataset) if is_distributed else None 2024-08-20T21:40:32.9645041Z >>> loader = DataLoader(dataset, shuffle=(sampler is None), 2024-08-20T21:40:32.9645198Z ... sampler=sampler) 2024-08-20T21:40:32.9645377Z >>> for epoch in range(start_epoch, n_epochs): 2024-08-20T21:40:32.9645515Z ... if is_distributed: 2024-08-20T21:40:32.9645663Z ... sampler.set_epoch(epoch) 2024-08-20T21:40:32.9645778Z ... train(loader) 2024-08-20T21:40:32.9645887Z 2024-08-20T21:40:32.9646297Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9646385Z 2024-08-20T21:40:32.9646511Z warnings.warn(msg) 2024-08-20T21:40:32.9646599Z 2024-08-20T21:40:32.9646820Z --- Parse Warning: 82 / 101 --- 2024-08-20T21:40:32.9648156Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/apis.py line=40. 2024-08-20T21:40:32.9648575Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9648675Z 2024-08-20T21:40:32.9648981Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2024-08-20T21:40:32.9649259Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2024-08-20T21:40:32.9649576Z pushes the map into PyTorch operations called by ``func``, effectively 2024-08-20T21:40:32.9649739Z vectorizing those operations. 2024-08-20T21:40:32.9649829Z 2024-08-20T21:40:32.9650146Z vmap is useful for handling batch dimensions: one can write a function 2024-08-20T21:40:32.9650430Z ``func`` that runs on examples and then lift it to a function that can 2024-08-20T21:40:32.9650723Z take batches of examples with ``vmap(func)``. vmap can also be used to 2024-08-20T21:40:32.9650953Z compute batched gradients when composed with autograd. 2024-08-20T21:40:32.9651045Z 2024-08-20T21:40:32.9651143Z .. note:: 2024-08-20T21:40:32.9651402Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2024-08-20T21:40:32.9651630Z convenience. Use whichever one you'd like. 2024-08-20T21:40:32.9651733Z 2024-08-20T21:40:32.9651828Z Args: 2024-08-20T21:40:32.9652115Z func (function): A Python function that takes one or more arguments. 2024-08-20T21:40:32.9652329Z Must return one or more Tensors. 2024-08-20T21:40:32.9652614Z in_dims (int or nested structure): Specifies which dimension of the 2024-08-20T21:40:32.9652839Z inputs should be mapped over. ``in_dims`` should have a 2024-08-20T21:40:32.9653105Z structure like the inputs. If the ``in_dim`` for a particular 2024-08-20T21:40:32.9653367Z input is None, then that indicates there is no map dimension. 2024-08-20T21:40:32.9653471Z Default: 0. 2024-08-20T21:40:32.9653758Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2024-08-20T21:40:32.9654020Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2024-08-20T21:40:32.9654222Z it should have one element per output. Default: 0. 2024-08-20T21:40:32.9654476Z randomness (str): Specifies whether the randomness in this 2024-08-20T21:40:32.9654856Z vmap should be the same or different across batches. If 'different', 2024-08-20T21:40:32.9655208Z the randomness for each batch will be different. If 'same', the 2024-08-20T21:40:32.9655582Z randomness will be the same across batches. If 'error', any calls to 2024-08-20T21:40:32.9655932Z random functions will error. Default: 'error'. WARNING: this flag 2024-08-20T21:40:32.9656248Z only applies to random PyTorch operations and does not apply to 2024-08-20T21:40:32.9656487Z Python's random module or numpy randomness. 2024-08-20T21:40:32.9656810Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2024-08-20T21:40:32.9657131Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2024-08-20T21:40:32.9657581Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2024-08-20T21:40:32.9658053Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2024-08-20T21:40:32.9658149Z 2024-08-20T21:40:32.9658247Z Returns: 2024-08-20T21:40:32.9658515Z Returns a new "batched" function. It takes the same inputs as 2024-08-20T21:40:32.9658763Z ``func``, except each input has an extra dimension at the index 2024-08-20T21:40:32.9659020Z specified by ``in_dims``. It takes returns the same outputs as 2024-08-20T21:40:32.9659283Z ``func``, except each output has an extra dimension at the index 2024-08-20T21:40:32.9659409Z specified by ``out_dims``. 2024-08-20T21:40:32.9659498Z 2024-08-20T21:40:32.9659607Z .. warning: 2024-08-20T21:40:32.9659948Z :func:`vmap` works best with functional-style code. Please do not 2024-08-20T21:40:32.9660257Z perform any side-effects in ``func``, with the exception of 2024-08-20T21:40:32.9660745Z in-place PyTorch operations. Examples of side-effects include mutating 2024-08-20T21:40:32.9661048Z Python data structures and assigning values to variables not captured 2024-08-20T21:40:32.9661167Z in ``func``. 2024-08-20T21:40:32.9661292Z 2024-08-20T21:40:32.9661625Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2024-08-20T21:40:32.9662010Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2024-08-20T21:40:32.9662306Z rummaging through docs, use :func:`vmap` to construct a new function. 2024-08-20T21:40:32.9662400Z 2024-08-20T21:40:32.9662674Z >>> torch.dot # [D], [D] -> [] 2024-08-20T21:40:32.9663028Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2024-08-20T21:40:32.9663200Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2024-08-20T21:40:32.9663325Z >>> batched_dot(x, y) 2024-08-20T21:40:32.9663419Z 2024-08-20T21:40:32.9663742Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2024-08-20T21:40:32.9663880Z model authoring experience. 2024-08-20T21:40:32.9663971Z 2024-08-20T21:40:32.9664160Z >>> batch_size, feature_size = 3, 5 2024-08-20T21:40:32.9664404Z >>> weights = torch.randn(feature_size, requires_grad=True) 2024-08-20T21:40:32.9664501Z >>> 2024-08-20T21:40:32.9664631Z >>> def model(feature_vec): 2024-08-20T21:40:32.9664812Z >>> # Very simple linear model with activation 2024-08-20T21:40:32.9664979Z >>> return feature_vec.dot(weights).relu() 2024-08-20T21:40:32.9665082Z >>> 2024-08-20T21:40:32.9665277Z >>> examples = torch.randn(batch_size, feature_size) 2024-08-20T21:40:32.9665433Z >>> result = torch.vmap(model)(examples) 2024-08-20T21:40:32.9665534Z 2024-08-20T21:40:32.9665882Z :func:`vmap` can also help vectorize computations that were previously difficult 2024-08-20T21:40:32.9666275Z or impossible to batch. One example is higher-order gradient computation. 2024-08-20T21:40:32.9666654Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2024-08-20T21:40:32.9667040Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2024-08-20T21:40:32.9667381Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2024-08-20T21:40:32.9667716Z we can vectorize the whole computation, computing the Jacobian in a single 2024-08-20T21:40:32.9667834Z call to ``autograd.grad``. 2024-08-20T21:40:32.9667964Z 2024-08-20T21:40:32.9668062Z >>> # Setup 2024-08-20T21:40:32.9668159Z >>> N = 5 2024-08-20T21:40:32.9668290Z >>> f = lambda x: x ** 2 2024-08-20T21:40:32.9668450Z >>> x = torch.randn(N, requires_grad=True) 2024-08-20T21:40:32.9668544Z >>> y = f(x) 2024-08-20T21:40:32.9668666Z >>> I_N = torch.eye(N) 2024-08-20T21:40:32.9668758Z >>> 2024-08-20T21:40:32.9668881Z >>> # Sequential approach 2024-08-20T21:40:32.9669178Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2024-08-20T21:40:32.9669331Z >>> for v in I_N.unbind()] 2024-08-20T21:40:32.9669490Z >>> jacobian = torch.stack(jacobian_rows) 2024-08-20T21:40:32.9669598Z >>> 2024-08-20T21:40:32.9669747Z >>> # vectorized gradient computation 2024-08-20T21:40:32.9669856Z >>> def get_vjp(v): 2024-08-20T21:40:32.9670035Z >>> return torch.autograd.grad(y, x, v) 2024-08-20T21:40:32.9670186Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2024-08-20T21:40:32.9670272Z 2024-08-20T21:40:32.9670657Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2024-08-20T21:40:32.9670744Z 2024-08-20T21:40:32.9671018Z >>> torch.dot # [D], [D] -> [] 2024-08-20T21:40:32.9671494Z >>> batched_dot = torch.vmap(torch.vmap(torch.dot)) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2024-08-20T21:40:32.9671681Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2024-08-20T21:40:32.9671860Z >>> batched_dot(x, y) # tensor of size [2, 3] 2024-08-20T21:40:32.9671951Z 2024-08-20T21:40:32.9672314Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2024-08-20T21:40:32.9672531Z the dimension that each inputs are batched along as 2024-08-20T21:40:32.9672616Z 2024-08-20T21:40:32.9672874Z >>> torch.dot # [N], [N] -> [] 2024-08-20T21:40:32.9673268Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2024-08-20T21:40:32.9673431Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2024-08-20T21:40:32.9673776Z >>> batched_dot(x, y) # output is [5] instead of [2] if batched along the 0th dimension 2024-08-20T21:40:32.9673873Z 2024-08-20T21:40:32.9674230Z If there are multiple inputs each of which is batched along different dimensions, 2024-08-20T21:40:32.9674516Z ``in_dims`` must be a tuple with the batch dimension for each input as 2024-08-20T21:40:32.9674603Z 2024-08-20T21:40:32.9674913Z >>> torch.dot # [D], [D] -> [] 2024-08-20T21:40:32.9675338Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2024-08-20T21:40:32.9675501Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2024-08-20T21:40:32.9675941Z >>> batched_dot(x, y) # second arg doesn't have a batch dim because in_dim[1] was None 2024-08-20T21:40:32.9676045Z 2024-08-20T21:40:32.9676385Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2024-08-20T21:40:32.9676517Z matching the shape of the input: 2024-08-20T21:40:32.9676616Z 2024-08-20T21:40:32.9676868Z >>> f = lambda dict: torch.dot(dict['x'], dict['y']) 2024-08-20T21:40:32.9677029Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2024-08-20T21:40:32.9677201Z >>> input = {'x': x, 'y': y} 2024-08-20T21:40:32.9677509Z >>> batched_dot = torch.vmap(f, in_dims=({'x': 0, 'y': None},)) 2024-08-20T21:40:32.9677635Z >>> batched_dot(input) 2024-08-20T21:40:32.9677725Z 2024-08-20T21:40:32.9678170Z By default, the output is batched along the first dimension. However, it can be batched 2024-08-20T21:40:32.9678341Z along any dimension by using ``out_dims`` 2024-08-20T21:40:32.9678428Z 2024-08-20T21:40:32.9678545Z >>> f = lambda x: x ** 2 2024-08-20T21:40:32.9678675Z >>> x = torch.randn(2, 5) 2024-08-20T21:40:32.9678889Z >>> batched_pow = torch.vmap(f, out_dims=1) 2024-08-20T21:40:32.9679010Z >>> batched_pow(x) # [5, 2] 2024-08-20T21:40:32.9679110Z 2024-08-20T21:40:32.9679517Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2024-08-20T21:40:32.9679619Z accept kwargs 2024-08-20T21:40:32.9679770Z 2024-08-20T21:40:32.9679888Z >>> x = torch.randn([2, 5]) 2024-08-20T21:40:32.9680005Z >>> def fn(x, scale=4.): 2024-08-20T21:40:32.9680124Z >>> return x * scale 2024-08-20T21:40:32.9680215Z >>> 2024-08-20T21:40:32.9680356Z >>> batched_pow = torch.vmap(fn) 2024-08-20T21:40:32.9680550Z >>> assert torch.allclose(batched_pow(x), x * 4) 2024-08-20T21:40:32.9680864Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2024-08-20T21:40:32.9680965Z 2024-08-20T21:40:32.9681065Z .. note:: 2024-08-20T21:40:32.9681443Z vmap does not provide general autobatching or handle variable-length 2024-08-20T21:40:32.9681575Z sequences out of the box. 2024-08-20T21:40:32.9681661Z 2024-08-20T21:40:32.9682066Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9682169Z 2024-08-20T21:40:32.9682282Z warnings.warn(msg) 2024-08-20T21:40:32.9682373Z 2024-08-20T21:40:32.9682612Z --- Parse Warning: 83 / 101 --- 2024-08-20T21:40:32.9683957Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=triton_op in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/triton.py line=17. 2024-08-20T21:40:32.9684408Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9684764Z Create a custom operator whose implementation is backed by 1+ triton kernels. 2024-08-20T21:40:32.9684853Z 2024-08-20T21:40:32.9685191Z Use this instead of :func:`torch.library.custom_op` when the implementation 2024-08-20T21:40:32.9685488Z consists of 1+ triton kernels. :func:`torch.library.custom_op` treats 2024-08-20T21:40:32.9685703Z custom operators as opaque (:func:`torch.compile` and 2024-08-20T21:40:32.9686027Z :func:`torch.export.export` will never trace into them), but ``triton_op`` 2024-08-20T21:40:32.9686316Z makes the implementation visible to these subsystems, allowing them 2024-08-20T21:40:32.9686455Z to optimize the triton kernel(s). 2024-08-20T21:40:32.9686556Z 2024-08-20T21:40:32.9686966Z Note that ``fn`` must only consist of calls to PyTorch-understood 2024-08-20T21:40:32.9687268Z operators and triton kernels. Any triton kernels called inside ``fn`` 2024-08-20T21:40:32.9687562Z must be wrapped in a call to :func:`torch._library.capture_triton``. 2024-08-20T21:40:32.9687651Z 2024-08-20T21:40:32.9687745Z Args: 2024-08-20T21:40:32.9688076Z name (str): A name for the custom op that looks like "{namespace}::{name}", 2024-08-20T21:40:32.9688468Z e.g. "mylib::my_linear". The name is used as the op's stable identifier 2024-08-20T21:40:32.9688700Z in PyTorch subsystems (e.g. torch.export, FX graphs). 2024-08-20T21:40:32.9689024Z To avoid name collisions, please use your project name as the namespace; 2024-08-20T21:40:32.9689319Z e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace. 2024-08-20T21:40:32.9689703Z mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates. 2024-08-20T21:40:32.9690036Z This MUST be accurate, otherwise, the behavior is undefined. If "unknown", 2024-08-20T21:40:32.9690400Z it pessimistically assumes that all inputs to the operator are being mutated. 2024-08-20T21:40:32.9690654Z schema (None | str): A schema string for the operator. If None 2024-08-20T21:40:32.9691043Z (recommended) we'll infer a schema for the operator from its type 2024-08-20T21:40:32.9691321Z annotations. We recommend letting us infer a schema unless you 2024-08-20T21:40:32.9691467Z have a specific reason not to. 2024-08-20T21:40:32.9691730Z Example: "(Tensor x, int y) -> (Tensor, Tensor)". 2024-08-20T21:40:32.9691827Z 2024-08-20T21:40:32.9691929Z Example:: 2024-08-20T21:40:32.9692020Z 2024-08-20T21:40:32.9692219Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-08-20T21:40:32.9692326Z >>> import torch 2024-08-20T21:40:32.9692548Z >>> from torch._library import triton_op, capture_triton 2024-08-20T21:40:32.9692652Z >>> 2024-08-20T21:40:32.9692770Z >>> import triton 2024-08-20T21:40:32.9692929Z >>> from triton import language as tl 2024-08-20T21:40:32.9693030Z >>> 2024-08-20T21:40:32.9693135Z >>> @triton.jit 2024-08-20T21:40:32.9693257Z >>> def add_kernel( 2024-08-20T21:40:32.9693359Z >>> in_ptr0, 2024-08-20T21:40:32.9693462Z >>> in_ptr1, 2024-08-20T21:40:32.9693575Z >>> out_ptr, 2024-08-20T21:40:32.9693680Z >>> n_elements, 2024-08-20T21:40:32.9693828Z >>> BLOCK_SIZE: "tl.constexpr", 2024-08-20T21:40:32.9693931Z >>> ): 2024-08-20T21:40:32.9694076Z >>> pid = tl.program_id(axis=0) 2024-08-20T21:40:32.9694230Z >>> block_start = pid * BLOCK_SIZE 2024-08-20T21:40:32.9694444Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2024-08-20T21:40:32.9694591Z >>> mask = offsets < n_elements 2024-08-20T21:40:32.9694795Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2024-08-20T21:40:32.9694976Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2024-08-20T21:40:32.9695093Z >>> output = x + y 2024-08-20T21:40:32.9695290Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2024-08-20T21:40:32.9695396Z >>> 2024-08-20T21:40:32.9695570Z >>> @triton_op("mylib::add", mutates_args={}) 2024-08-20T21:40:32.9695905Z >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor: 2024-08-20T21:40:32.9696051Z >>> output = torch.empty_like(x) 2024-08-20T21:40:32.9696198Z >>> n_elements = output.numel() 2024-08-20T21:40:32.9696304Z >>> 2024-08-20T21:40:32.9696416Z >>> def grid(meta): 2024-08-20T21:40:32.9696645Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2024-08-20T21:40:32.9696802Z >>> 2024-08-20T21:40:32.9697089Z >>> # NB: we need to wrap the triton kernel in a call to capture_triton 2024-08-20T21:40:32.9697354Z >>> capture_triton(add_kernel)[grid](x, y, output, n_elements, 16) 2024-08-20T21:40:32.9697480Z >>> return output 2024-08-20T21:40:32.9697575Z >>> 2024-08-20T21:40:32.9697683Z >>> @torch.compile 2024-08-20T21:40:32.9697800Z >>> def f(x, y): 2024-08-20T21:40:32.9697917Z >>> return add(x, y) 2024-08-20T21:40:32.9698009Z >>> 2024-08-20T21:40:32.9698173Z >>> x = torch.randn(3, device="cuda") 2024-08-20T21:40:32.9698320Z >>> y = torch.randn(3, device="cuda") 2024-08-20T21:40:32.9698424Z >>> 2024-08-20T21:40:32.9698525Z >>> z = f(x, y) 2024-08-20T21:40:32.9698678Z >>> assert torch.allclose(z, x + y) 2024-08-20T21:40:32.9698776Z 2024-08-20T21:40:32.9698869Z 2024-08-20T21:40:32.9699279Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9699379Z 2024-08-20T21:40:32.9699487Z warnings.warn(msg) 2024-08-20T21:40:32.9699575Z 2024-08-20T21:40:32.9699803Z --- Parse Warning: 84 / 101 --- 2024-08-20T21:40:32.9701276Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=capture_triton in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/triton.py line=163. 2024-08-20T21:40:32.9701757Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9702041Z Allows capture of a triton kernel into a graph via make_fx or 2024-08-20T21:40:32.9702224Z non-strict export (coming soon). 2024-08-20T21:40:32.9702312Z 2024-08-20T21:40:32.9702624Z These technologies perform Dispatcher-based tracing (via 2024-08-20T21:40:32.9702890Z ``__torch_dispatch__``) and cannot see calls to raw triton kernels. 2024-08-20T21:40:32.9703174Z The ``capture_triton`` API returns a new callable that can actually 2024-08-20T21:40:32.9703292Z be traced into a graph. 2024-08-20T21:40:32.9703377Z 2024-08-20T21:40:32.9703485Z Examples: 2024-08-20T21:40:32.9703571Z 2024-08-20T21:40:32.9703691Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.9703808Z >>> import torch 2024-08-20T21:40:32.9703917Z >>> import triton 2024-08-20T21:40:32.9704072Z >>> from triton import language as tl 2024-08-20T21:40:32.9704325Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2024-08-20T21:40:32.9704626Z >>> from torch._higher_order_ops.triton_kernel_wrap import capture_triton 2024-08-20T21:40:32.9704723Z >>> 2024-08-20T21:40:32.9704835Z >>> @triton.jit 2024-08-20T21:40:32.9704942Z >>> def add_kernel( 2024-08-20T21:40:32.9705044Z >>> in_ptr0, 2024-08-20T21:40:32.9705160Z >>> in_ptr1, 2024-08-20T21:40:32.9705291Z >>> out_ptr, 2024-08-20T21:40:32.9705397Z >>> n_elements, 2024-08-20T21:40:32.9705556Z >>> BLOCK_SIZE: "tl.constexpr", 2024-08-20T21:40:32.9705649Z >>> ): 2024-08-20T21:40:32.9705804Z >>> pid = tl.program_id(axis=0) 2024-08-20T21:40:32.9705958Z >>> block_start = pid * BLOCK_SIZE 2024-08-20T21:40:32.9706162Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2024-08-20T21:40:32.9706318Z >>> mask = offsets < n_elements 2024-08-20T21:40:32.9706493Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2024-08-20T21:40:32.9706666Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2024-08-20T21:40:32.9706788Z >>> output = x + y 2024-08-20T21:40:32.9707009Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2024-08-20T21:40:32.9707106Z >>> 2024-08-20T21:40:32.9707277Z >>> def add(x, y): 2024-08-20T21:40:32.9707430Z >>> output = torch.empty_like(x) 2024-08-20T21:40:32.9707576Z >>> n_elements = output.numel() 2024-08-20T21:40:32.9707679Z >>> 2024-08-20T21:40:32.9707802Z >>> def grid_fn(meta): 2024-08-20T21:40:32.9708028Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2024-08-20T21:40:32.9708137Z >>> 2024-08-20T21:40:32.9708414Z >>> capture_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16) 2024-08-20T21:40:32.9708535Z >>> return output 2024-08-20T21:40:32.9708627Z >>> 2024-08-20T21:40:32.9708776Z >>> x = torch.randn(3, device="cuda") 2024-08-20T21:40:32.9708981Z >>> y = torch.randn(3, device="cuda") 2024-08-20T21:40:32.9709106Z >>> gm = make_fx(add)(x, y) 2024-08-20T21:40:32.9709214Z >>> print(gm.code) 2024-08-20T21:40:32.9709372Z >>> # def forward(self, x_1, y_1): 2024-08-20T21:40:32.9709702Z >>> # empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False) 2024-08-20T21:40:32.9710008Z >>> # triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation( 2024-08-20T21:40:32.9710202Z >>> # kernel_idx = 0, constant_args_idx = 0, 2024-08-20T21:40:32.9710386Z >>> # grid = [(1, 1, 1)], kwargs = { 2024-08-20T21:40:32.9710694Z >>> # 'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like, 2024-08-20T21:40:32.9710945Z >>> # 'n_elements': 3, 'BLOCK_SIZE': 16 2024-08-20T21:40:32.9711051Z >>> # }) 2024-08-20T21:40:32.9711190Z >>> # return empty_like 2024-08-20T21:40:32.9711281Z 2024-08-20T21:40:32.9711375Z 2024-08-20T21:40:32.9711791Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9711881Z 2024-08-20T21:40:32.9711998Z warnings.warn(msg) 2024-08-20T21:40:32.9712102Z 2024-08-20T21:40:32.9712316Z --- Parse Warning: 85 / 101 --- 2024-08-20T21:40:32.9713751Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_almost_equal in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=330. 2024-08-20T21:40:32.9714182Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9714273Z 2024-08-20T21:40:32.9714547Z Raises an AssertionError if two items are not equal up to desired 2024-08-20T21:40:32.9714661Z precision. 2024-08-20T21:40:32.9714752Z 2024-08-20T21:40:32.9714997Z .. note:: It is recommended to use one of `assert_allclose`, 2024-08-20T21:40:32.9715232Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2024-08-20T21:40:32.9715493Z instead of this function for more consistent floating point 2024-08-20T21:40:32.9715646Z comparisons. 2024-08-20T21:40:32.9715737Z 2024-08-20T21:40:32.9716034Z The test verifies that the elements of `actual` and `desired` satisfy. 2024-08-20T21:40:32.9716136Z 2024-08-20T21:40:32.9716414Z ``abs(desired-actual) < float64(1.5 * 10**(-decimal))`` 2024-08-20T21:40:32.9716507Z 2024-08-20T21:40:32.9716841Z That is a looser test than originally documented, but agrees with what the 2024-08-20T21:40:32.9717145Z actual implementation in `assert_array_almost_equal` did up to rounding 2024-08-20T21:40:32.9717460Z vagaries. An exception is raised at conflicting values. For ndarrays this 2024-08-20T21:40:32.9717615Z delegates to assert_array_almost_equal 2024-08-20T21:40:32.9717702Z 2024-08-20T21:40:32.9717796Z Parameters 2024-08-20T21:40:32.9717928Z ---------- 2024-08-20T21:40:32.9718037Z actual : array_like 2024-08-20T21:40:32.9718153Z The object to check. 2024-08-20T21:40:32.9718325Z desired : array_like 2024-08-20T21:40:32.9718442Z The expected object. 2024-08-20T21:40:32.9718567Z decimal : int, optional 2024-08-20T21:40:32.9718708Z Desired precision, default is 7. 2024-08-20T21:40:32.9718817Z err_msg : str, optional 2024-08-20T21:40:32.9719033Z The error message to be printed in case of failure. 2024-08-20T21:40:32.9719150Z verbose : bool, optional 2024-08-20T21:40:32.9719427Z If True, the conflicting values are appended to the error message. 2024-08-20T21:40:32.9719527Z 2024-08-20T21:40:32.9719623Z Raises 2024-08-20T21:40:32.9719739Z ------ 2024-08-20T21:40:32.9719859Z AssertionError 2024-08-20T21:40:32.9720124Z If actual and desired are not equal up to specified precision. 2024-08-20T21:40:32.9720211Z 2024-08-20T21:40:32.9720320Z See Also 2024-08-20T21:40:32.9720436Z -------- 2024-08-20T21:40:32.9720742Z assert_allclose: Compare two array_like objects for equality with desired 2024-08-20T21:40:32.9720932Z relative and/or absolute precision. 2024-08-20T21:40:32.9721195Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-08-20T21:40:32.9721279Z 2024-08-20T21:40:32.9721385Z Examples 2024-08-20T21:40:32.9721499Z -------- 2024-08-20T21:40:32.9721709Z >>> from torch._numpy.testing import assert_almost_equal 2024-08-20T21:40:32.9721922Z >>> assert_almost_equal(2.3333333333333, 2.33333334) 2024-08-20T21:40:32.9722143Z >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10) 2024-08-20T21:40:32.9722288Z Traceback (most recent call last): 2024-08-20T21:40:32.9722381Z ... 2024-08-20T21:40:32.9722485Z AssertionError: 2024-08-20T21:40:32.9722658Z Arrays are not almost equal to 10 decimals 2024-08-20T21:40:32.9722765Z ACTUAL: 2.3333333333333 2024-08-20T21:40:32.9722869Z DESIRED: 2.33333334 2024-08-20T21:40:32.9722968Z 2024-08-20T21:40:32.9723154Z >>> assert_almost_equal(np.array([1.0,2.3333333333333]), 2024-08-20T21:40:32.9723324Z ... np.array([1.0,2.33333334]), decimal=9) 2024-08-20T21:40:32.9723474Z Traceback (most recent call last): 2024-08-20T21:40:32.9723563Z ... 2024-08-20T21:40:32.9723671Z AssertionError: 2024-08-20T21:40:32.9723842Z Arrays are not almost equal to 9 decimals 2024-08-20T21:40:32.9723938Z 2024-08-20T21:40:32.9724061Z Mismatched elements: 1 / 2 (50%) 2024-08-20T21:40:32.9724299Z Max absolute difference: 6.666699636781459e-09 2024-08-20T21:40:32.9724522Z Max relative difference: 2.8571569790287484e-09 2024-08-20T21:40:32.9724697Z x: torch.ndarray([1.0000, 2.3333], dtype=float64) 2024-08-20T21:40:32.9724880Z y: torch.ndarray([1.0000, 2.3333], dtype=float64) 2024-08-20T21:40:32.9724965Z 2024-08-20T21:40:32.9725063Z 2024-08-20T21:40:32.9725464Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9725550Z 2024-08-20T21:40:32.9725842Z warnings.warn(msg) 2024-08-20T21:40:32.9725925Z 2024-08-20T21:40:32.9726213Z --- Parse Warning: 86 / 101 --- 2024-08-20T21:40:32.9727668Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_approx_equal in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=455. 2024-08-20T21:40:32.9728089Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9728175Z 2024-08-20T21:40:32.9728480Z Raises an AssertionError if two items are not equal up to significant 2024-08-20T21:40:32.9728572Z digits. 2024-08-20T21:40:32.9728658Z 2024-08-20T21:40:32.9728903Z .. note:: It is recommended to use one of `assert_allclose`, 2024-08-20T21:40:32.9729134Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2024-08-20T21:40:32.9729400Z instead of this function for more consistent floating point 2024-08-20T21:40:32.9729573Z comparisons. 2024-08-20T21:40:32.9729661Z 2024-08-20T21:40:32.9729915Z Given two numbers, check that they are approximately equal. 2024-08-20T21:40:32.9730196Z Approximately equal is defined as the number of significant digits 2024-08-20T21:40:32.9730298Z that agree. 2024-08-20T21:40:32.9730397Z 2024-08-20T21:40:32.9730494Z Parameters 2024-08-20T21:40:32.9730615Z ---------- 2024-08-20T21:40:32.9730731Z actual : scalar 2024-08-20T21:40:32.9730845Z The object to check. 2024-08-20T21:40:32.9730952Z desired : scalar 2024-08-20T21:40:32.9731076Z The expected object. 2024-08-20T21:40:32.9731198Z significant : int, optional 2024-08-20T21:40:32.9731336Z Desired precision, default is 7. 2024-08-20T21:40:32.9731461Z err_msg : str, optional 2024-08-20T21:40:32.9731662Z The error message to be printed in case of failure. 2024-08-20T21:40:32.9731781Z verbose : bool, optional 2024-08-20T21:40:32.9732074Z If True, the conflicting values are appended to the error message. 2024-08-20T21:40:32.9732160Z 2024-08-20T21:40:32.9732251Z Raises 2024-08-20T21:40:32.9732380Z ------ 2024-08-20T21:40:32.9732484Z AssertionError 2024-08-20T21:40:32.9732748Z If actual and desired are not equal up to specified precision. 2024-08-20T21:40:32.9732879Z 2024-08-20T21:40:32.9732974Z See Also 2024-08-20T21:40:32.9733105Z -------- 2024-08-20T21:40:32.9733415Z assert_allclose: Compare two array_like objects for equality with desired 2024-08-20T21:40:32.9733587Z relative and/or absolute precision. 2024-08-20T21:40:32.9733864Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-08-20T21:40:32.9733949Z 2024-08-20T21:40:32.9734044Z Examples 2024-08-20T21:40:32.9734173Z -------- 2024-08-20T21:40:32.9734631Z >>> np.testing.assert_approx_equal(0.12345677777777e-20, 0.1234567e-20) # doctest: +SKIP 2024-08-20T21:40:32.9735059Z >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345671e-20, # doctest: +SKIP 2024-08-20T21:40:32.9735267Z ... significant=8) 2024-08-20T21:40:32.9735689Z >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345672e-20, # doctest: +SKIP 2024-08-20T21:40:32.9735840Z ... significant=8) 2024-08-20T21:40:32.9735984Z Traceback (most recent call last): 2024-08-20T21:40:32.9736075Z ... 2024-08-20T21:40:32.9736183Z AssertionError: 2024-08-20T21:40:32.9736361Z Items are not equal to 8 significant digits: 2024-08-20T21:40:32.9736505Z ACTUAL: 1.234567e-21 2024-08-20T21:40:32.9736662Z DESIRED: 1.2345672e-21 2024-08-20T21:40:32.9736746Z 2024-08-20T21:40:32.9736950Z the evaluated condition that raises the exception is 2024-08-20T21:40:32.9737049Z 2024-08-20T21:40:32.9737358Z >>> abs(0.12345670e-20/1e-21 - 0.12345672e-20/1e-21) >= 10**-(8-1) 2024-08-20T21:40:32.9737451Z True 2024-08-20T21:40:32.9737552Z 2024-08-20T21:40:32.9737638Z 2024-08-20T21:40:32.9738080Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9738176Z 2024-08-20T21:40:32.9738286Z warnings.warn(msg) 2024-08-20T21:40:32.9738371Z 2024-08-20T21:40:32.9738588Z --- Parse Warning: 87 / 101 --- 2024-08-20T21:40:32.9740035Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_equal in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=734. 2024-08-20T21:40:32.9740523Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9740624Z 2024-08-20T21:40:32.9740897Z Raises an AssertionError if two array_like objects are not equal. 2024-08-20T21:40:32.9740994Z 2024-08-20T21:40:32.9741272Z Given two array_like objects, check that the shape is equal and all 2024-08-20T21:40:32.9741626Z elements of these objects are equal (but see the Notes for the special 2024-08-20T21:40:32.9741913Z handling of a scalar). An exception is raised at shape mismatch or 2024-08-20T21:40:32.9742207Z conflicting values. In contrast to the standard usage in numpy, NaNs 2024-08-20T21:40:32.9742506Z are compared like numbers, no assertion is raised if both objects have 2024-08-20T21:40:32.9742641Z NaNs in the same positions. 2024-08-20T21:40:32.9742728Z 2024-08-20T21:40:32.9743035Z The usual caution for verifying equality with floating point numbers is 2024-08-20T21:40:32.9743141Z advised. 2024-08-20T21:40:32.9743230Z 2024-08-20T21:40:32.9743326Z Parameters 2024-08-20T21:40:32.9743470Z ---------- 2024-08-20T21:40:32.9743573Z x : array_like 2024-08-20T21:40:32.9743693Z The actual object to check. 2024-08-20T21:40:32.9743806Z y : array_like 2024-08-20T21:40:32.9743935Z The desired, expected object. 2024-08-20T21:40:32.9744048Z err_msg : str, optional 2024-08-20T21:40:32.9744263Z The error message to be printed in case of failure. 2024-08-20T21:40:32.9744377Z verbose : bool, optional 2024-08-20T21:40:32.9744665Z If True, the conflicting values are appended to the error message. 2024-08-20T21:40:32.9744778Z strict : bool, optional 2024-08-20T21:40:32.9745052Z If True, raise an AssertionError when either the shape or the data 2024-08-20T21:40:32.9745326Z type of the array_like objects does not match. The special 2024-08-20T21:40:32.9745601Z handling for scalars mentioned in the Notes section is disabled. 2024-08-20T21:40:32.9745685Z 2024-08-20T21:40:32.9745792Z Raises 2024-08-20T21:40:32.9745909Z ------ 2024-08-20T21:40:32.9746017Z AssertionError 2024-08-20T21:40:32.9746205Z If actual and desired objects are not equal. 2024-08-20T21:40:32.9746286Z 2024-08-20T21:40:32.9746379Z See Also 2024-08-20T21:40:32.9746513Z -------- 2024-08-20T21:40:32.9746824Z assert_allclose: Compare two array_like objects for equality with desired 2024-08-20T21:40:32.9746999Z relative and/or absolute precision. 2024-08-20T21:40:32.9747278Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-08-20T21:40:32.9747363Z 2024-08-20T21:40:32.9747453Z Notes 2024-08-20T21:40:32.9747584Z ----- 2024-08-20T21:40:32.9747861Z When one of `x` and `y` is a scalar and the other is array_like, the 2024-08-20T21:40:32.9748172Z function checks that each element of the array_like object is equal to 2024-08-20T21:40:32.9748472Z the scalar. This behaviour can be disabled with the `strict` parameter. 2024-08-20T21:40:32.9748557Z 2024-08-20T21:40:32.9748664Z Examples 2024-08-20T21:40:32.9748781Z -------- 2024-08-20T21:40:32.9748952Z The first assert does not raise an exception: 2024-08-20T21:40:32.9749059Z 2024-08-20T21:40:32.9749260Z >>> np.testing.assert_array_equal([1.0,2.33333,np.nan], 2024-08-20T21:40:32.9749433Z ... [np.exp(0),2.33333, np.nan]) 2024-08-20T21:40:32.9749566Z 2024-08-20T21:40:32.9749873Z Use `assert_allclose` or one of the nulp (number of floating point values) 2024-08-20T21:40:32.9750007Z functions for these cases instead: 2024-08-20T21:40:32.9750110Z 2024-08-20T21:40:32.9750294Z >>> np.testing.assert_allclose([1.0,np.pi,np.nan], 2024-08-20T21:40:32.9750469Z ... [1, np.sqrt(np.pi)**2, np.nan], 2024-08-20T21:40:32.9750695Z ... rtol=1e-10, atol=0) 2024-08-20T21:40:32.9750782Z 2024-08-20T21:40:32.9751062Z As mentioned in the Notes section, `assert_array_equal` has special 2024-08-20T21:40:32.9751378Z handling for scalars. Here the test checks that each value in `x` is 3: 2024-08-20T21:40:32.9751464Z 2024-08-20T21:40:32.9751608Z >>> x = np.full((2, 5), fill_value=3) 2024-08-20T21:40:32.9751789Z >>> np.testing.assert_array_equal(x, 3) 2024-08-20T21:40:32.9751874Z 2024-08-20T21:40:32.9752241Z Use `strict` to raise an AssertionError when comparing a scalar with an 2024-08-20T21:40:32.9752335Z array: 2024-08-20T21:40:32.9752423Z 2024-08-20T21:40:32.9752630Z >>> np.testing.assert_array_equal(x, 3, strict=True) 2024-08-20T21:40:32.9752761Z Traceback (most recent call last): 2024-08-20T21:40:32.9752854Z ... 2024-08-20T21:40:32.9752974Z AssertionError: 2024-08-20T21:40:32.9753084Z Arrays are not equal 2024-08-20T21:40:32.9753183Z 2024-08-20T21:40:32.9753309Z (shapes (2, 5), () mismatch) 2024-08-20T21:40:32.9753437Z x: torch.ndarray([[3, 3, 3, 3, 3], 2024-08-20T21:40:32.9753540Z [3, 3, 3, 3, 3]]) 2024-08-20T21:40:32.9753664Z y: torch.ndarray(3) 2024-08-20T21:40:32.9753750Z 2024-08-20T21:40:32.9754036Z The `strict` parameter also ensures that the array data types match: 2024-08-20T21:40:32.9754135Z 2024-08-20T21:40:32.9754248Z >>> x = np.array([2, 2, 2]) 2024-08-20T21:40:32.9754418Z >>> y = np.array([2., 2., 2.], dtype=np.float32) 2024-08-20T21:40:32.9754621Z >>> np.testing.assert_array_equal(x, y, strict=True) 2024-08-20T21:40:32.9754753Z Traceback (most recent call last): 2024-08-20T21:40:32.9754845Z ... 2024-08-20T21:40:32.9754961Z AssertionError: 2024-08-20T21:40:32.9755070Z Arrays are not equal 2024-08-20T21:40:32.9755209Z 2024-08-20T21:40:32.9755394Z (dtypes dtype("int64"), dtype("float32") mismatch) 2024-08-20T21:40:32.9755562Z x: torch.ndarray([2, 2, 2]) 2024-08-20T21:40:32.9755691Z y: torch.ndarray([2., 2., 2.]) 2024-08-20T21:40:32.9755776Z 2024-08-20T21:40:32.9756180Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9756279Z 2024-08-20T21:40:32.9756390Z warnings.warn(msg) 2024-08-20T21:40:32.9756477Z 2024-08-20T21:40:32.9756701Z --- Parse Warning: 88 / 101 --- 2024-08-20T21:40:32.9758181Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_almost_equal in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=840. 2024-08-20T21:40:32.9758600Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9758697Z 2024-08-20T21:40:32.9758986Z Raises an AssertionError if two objects are not equal up to desired 2024-08-20T21:40:32.9759087Z precision. 2024-08-20T21:40:32.9759185Z 2024-08-20T21:40:32.9759419Z .. note:: It is recommended to use one of `assert_allclose`, 2024-08-20T21:40:32.9759663Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2024-08-20T21:40:32.9759918Z instead of this function for more consistent floating point 2024-08-20T21:40:32.9760026Z comparisons. 2024-08-20T21:40:32.9760120Z 2024-08-20T21:40:32.9760438Z The test verifies identical shapes and that the elements of ``actual`` and 2024-08-20T21:40:32.9760547Z ``desired`` satisfy. 2024-08-20T21:40:32.9760695Z 2024-08-20T21:40:32.9760925Z ``abs(desired-actual) < 1.5 * 10**(-decimal)`` 2024-08-20T21:40:32.9761015Z 2024-08-20T21:40:32.9761343Z That is a looser test than originally documented, but agrees with what the 2024-08-20T21:40:32.9761714Z actual implementation did up to rounding vagaries. An exception is raised 2024-08-20T21:40:32.9762033Z at shape mismatch or conflicting values. In contrast to the standard usage 2024-08-20T21:40:32.9762348Z in numpy, NaNs are compared like numbers, no assertion is raised if both 2024-08-20T21:40:32.9762507Z objects have NaNs in the same positions. 2024-08-20T21:40:32.9762611Z 2024-08-20T21:40:32.9762708Z Parameters 2024-08-20T21:40:32.9762832Z ---------- 2024-08-20T21:40:32.9762940Z x : array_like 2024-08-20T21:40:32.9763064Z The actual object to check. 2024-08-20T21:40:32.9763164Z y : array_like 2024-08-20T21:40:32.9763363Z The desired, expected object. 2024-08-20T21:40:32.9763481Z decimal : int, optional 2024-08-20T21:40:32.9763619Z Desired precision, default is 6. 2024-08-20T21:40:32.9763742Z err_msg : str, optional 2024-08-20T21:40:32.9763948Z The error message to be printed in case of failure. 2024-08-20T21:40:32.9764063Z verbose : bool, optional 2024-08-20T21:40:32.9764357Z If True, the conflicting values are appended to the error message. 2024-08-20T21:40:32.9764446Z 2024-08-20T21:40:32.9764538Z Raises 2024-08-20T21:40:32.9764666Z ------ 2024-08-20T21:40:32.9764769Z AssertionError 2024-08-20T21:40:32.9765032Z If actual and desired are not equal up to specified precision. 2024-08-20T21:40:32.9765136Z 2024-08-20T21:40:32.9765230Z See Also 2024-08-20T21:40:32.9765348Z -------- 2024-08-20T21:40:32.9765663Z assert_allclose: Compare two array_like objects for equality with desired 2024-08-20T21:40:32.9765836Z relative and/or absolute precision. 2024-08-20T21:40:32.9766100Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-08-20T21:40:32.9766198Z 2024-08-20T21:40:32.9766292Z Examples 2024-08-20T21:40:32.9766417Z -------- 2024-08-20T21:40:32.9766584Z the first assert does not raise an exception 2024-08-20T21:40:32.9766672Z 2024-08-20T21:40:32.9766951Z >>> np.testing.assert_array_almost_equal([1.0,2.333,np.nan], 2024-08-20T21:40:32.9767113Z ... [1.0,2.333,np.nan]) 2024-08-20T21:40:32.9767197Z 2024-08-20T21:40:32.9767439Z >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan], 2024-08-20T21:40:32.9767614Z ... [1.0,2.33339,np.nan], decimal=5) 2024-08-20T21:40:32.9767745Z Traceback (most recent call last): 2024-08-20T21:40:32.9767848Z ... 2024-08-20T21:40:32.9767955Z AssertionError: 2024-08-20T21:40:32.9768107Z Arrays are not almost equal to 5 decimals 2024-08-20T21:40:32.9768218Z 2024-08-20T21:40:32.9768349Z Mismatched elements: 1 / 3 (33.3%) 2024-08-20T21:40:32.9768571Z Max absolute difference: 5.999999999994898e-05 2024-08-20T21:40:32.9768808Z Max relative difference: 2.5713661239633743e-05 2024-08-20T21:40:32.9769022Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2024-08-20T21:40:32.9769233Z y: torch.ndarray([1.0000, 2.3334, nan], dtype=float64) 2024-08-20T21:40:32.9769331Z 2024-08-20T21:40:32.9769564Z >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan], 2024-08-20T21:40:32.9770165Z ... [1.0,2.33333, 5], decimal=5) 2024-08-20T21:40:32.9770654Z Traceback (most recent call last): 2024-08-20T21:40:32.9771025Z ... 2024-08-20T21:40:32.9771293Z AssertionError: 2024-08-20T21:40:32.9771639Z Arrays are not almost equal to 5 decimals 2024-08-20T21:40:32.9772045Z 2024-08-20T21:40:32.9772413Z x and y nan location mismatch: 2024-08-20T21:40:32.9772910Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2024-08-20T21:40:32.9773566Z y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64) 2024-08-20T21:40:32.9774025Z 2024-08-20T21:40:32.9774235Z 2024-08-20T21:40:32.9774778Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9775372Z 2024-08-20T21:40:32.9775617Z warnings.warn(msg) 2024-08-20T21:40:32.9775918Z 2024-08-20T21:40:32.9776254Z --- Parse Warning: 89 / 101 --- 2024-08-20T21:40:32.9778042Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=clear_and_catch_warnings in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=1790. 2024-08-20T21:40:32.9779947Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9781028Z Context manager that resets warning registry for catching warnings 2024-08-20T21:40:32.9781552Z 2024-08-20T21:40:32.9782012Z Warnings can be slippery, because, whenever a warning is triggered, Python 2024-08-20T21:40:32.9782801Z adds a ``__warningregistry__`` member to the *calling* module. This makes 2024-08-20T21:40:32.9783588Z it impossible to retrigger the warning in this module, whatever you put in 2024-08-20T21:40:32.9784427Z the warnings filters. This context manager accepts a sequence of `modules` 2024-08-20T21:40:32.9785176Z as a keyword argument to its constructor and: 2024-08-20T21:40:32.9785742Z 2024-08-20T21:40:32.9786174Z * stores and removes any ``__warningregistry__`` entries in given `modules` 2024-08-20T21:40:32.9786747Z on entry; 2024-08-20T21:40:32.9787170Z * resets ``__warningregistry__`` to its previous state on exit. 2024-08-20T21:40:32.9787652Z 2024-08-20T21:40:32.9788091Z This makes it possible to trigger any warning afresh inside the context 2024-08-20T21:40:32.9788806Z manager without disturbing the state of warnings outside. 2024-08-20T21:40:32.9789278Z 2024-08-20T21:40:32.9789716Z For compatibility with Python 3.0, please consider all arguments to be 2024-08-20T21:40:32.9790345Z keyword-only. 2024-08-20T21:40:32.9790610Z 2024-08-20T21:40:32.9790874Z Parameters 2024-08-20T21:40:32.9791175Z ---------- 2024-08-20T21:40:32.9791449Z record : bool, optional 2024-08-20T21:40:32.9791935Z Specifies whether warnings should be captured by a custom 2024-08-20T21:40:32.9792647Z implementation of ``warnings.showwarning()`` and be appended to a list 2024-08-20T21:40:32.9793400Z returned by the context manager. Otherwise None is returned by the 2024-08-20T21:40:32.9794149Z context manager. The objects appended to the list are arguments whose 2024-08-20T21:40:32.9794840Z attributes mirror the arguments to ``showwarning()``. 2024-08-20T21:40:32.9795341Z modules : sequence, optional 2024-08-20T21:40:32.9795913Z Sequence of modules for which to reset warnings registry on entry and 2024-08-20T21:40:32.9796774Z restore on exit. To work correctly, all 'ignore' filters should 2024-08-20T21:40:32.9797401Z filter by one of these modules. 2024-08-20T21:40:32.9797781Z 2024-08-20T21:40:32.9798007Z Examples 2024-08-20T21:40:32.9798320Z -------- 2024-08-20T21:40:32.9798584Z >>> import warnings 2024-08-20T21:40:32.9799059Z >>> with np.testing.clear_and_catch_warnings( # doctest: +SKIP 2024-08-20T21:40:32.9799633Z ... modules=[np.core.fromnumeric]): 2024-08-20T21:40:32.9800158Z ... warnings.simplefilter('always') 2024-08-20T21:40:32.9800833Z ... warnings.filterwarnings('ignore', module='np.core.fromnumeric') 2024-08-20T21:40:32.9801525Z ... # do something that raises a warning but ignore those in 2024-08-20T21:40:32.9802048Z ... # np.core.fromnumeric 2024-08-20T21:40:32.9802449Z 2024-08-20T21:40:32.9802995Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9803563Z 2024-08-20T21:40:32.9803800Z warnings.warn(msg) 2024-08-20T21:40:32.9804096Z 2024-08-20T21:40:32.9804424Z --- Parse Warning: 90 / 101 --- 2024-08-20T21:40:32.9806170Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Conv1d in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py line=355. 2024-08-20T21:40:32.9807979Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9808756Z Applies a 1D convolution over a quantized input signal composed of 2024-08-20T21:40:32.9809334Z several quantized input planes. 2024-08-20T21:40:32.9809705Z 2024-08-20T21:40:32.9810171Z For details on input arguments, parameters, and implementation see 2024-08-20T21:40:32.9810753Z :class:`~torch.nn.Conv1d`. 2024-08-20T21:40:32.9811095Z 2024-08-20T21:40:32.9811317Z .. note:: 2024-08-20T21:40:32.9811759Z Only `zeros` is supported for the :attr:`padding_mode` argument. 2024-08-20T21:40:32.9812279Z 2024-08-20T21:40:32.9812495Z .. note:: 2024-08-20T21:40:32.9812903Z Only `torch.quint8` is supported for the input data type. 2024-08-20T21:40:32.9813388Z 2024-08-20T21:40:32.9813593Z 2024-08-20T21:40:32.9813818Z Attributes: 2024-08-20T21:40:32.9814277Z weight (Tensor): packed tensor derived from the learnable weight 2024-08-20T21:40:32.9814836Z parameter. 2024-08-20T21:40:32.9815311Z scale (Tensor): scalar for the output scale 2024-08-20T21:40:32.9815874Z zero_point (Tensor): scalar for the output zero point 2024-08-20T21:40:32.9816332Z 2024-08-20T21:40:32.9816659Z See :class:`~torch.nn.Conv1d` for other attributes. 2024-08-20T21:40:32.9817111Z 2024-08-20T21:40:32.9817331Z Examples:: 2024-08-20T21:40:32.9817589Z 2024-08-20T21:40:32.9817912Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE) 2024-08-20T21:40:32.9818443Z >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2) 2024-08-20T21:40:32.9818966Z >>> input = torch.randn(20, 16, 100) 2024-08-20T21:40:32.9819427Z >>> # quantize input to quint8 2024-08-20T21:40:32.9819835Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.9820357Z >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0, 2024-08-20T21:40:32.9821078Z ... dtype=torch.quint8) 2024-08-20T21:40:32.9821541Z >>> output = m(q_input) 2024-08-20T21:40:32.9821881Z 2024-08-20T21:40:32.9822100Z 2024-08-20T21:40:32.9822661Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9823237Z 2024-08-20T21:40:32.9823477Z warnings.warn(msg) 2024-08-20T21:40:32.9823776Z 2024-08-20T21:40:32.9824109Z --- Parse Warning: 91 / 101 --- 2024-08-20T21:40:32.9825967Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LSTM in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/rnn.py line=11. 2024-08-20T21:40:32.9827768Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9828478Z A quantized long short-term memory (LSTM). 2024-08-20T21:40:32.9828884Z 2024-08-20T21:40:32.9829396Z For the description and the argument types, please, refer to :class:`~torch.nn.LSTM` 2024-08-20T21:40:32.9830023Z 2024-08-20T21:40:32.9830250Z Attributes: 2024-08-20T21:40:32.9830593Z layers : instances of the `_LSTMLayer` 2024-08-20T21:40:32.9830996Z 2024-08-20T21:40:32.9831225Z .. note:: 2024-08-20T21:40:32.9831768Z To access the weights and biases, you need to access them per layer. 2024-08-20T21:40:32.9832454Z See examples in :class:`~torch.ao.nn.quantizable.LSTM` 2024-08-20T21:40:32.9832941Z 2024-08-20T21:40:32.9833170Z Examples:: 2024-08-20T21:40:32.9833455Z >>> # xdoctest: +SKIP 2024-08-20T21:40:32.9833836Z >>> custom_module_config = { 2024-08-20T21:40:32.9834366Z ... 'float_to_observed_custom_module_class': { 2024-08-20T21:40:32.9834872Z ... nn.LSTM: nn.quantizable.LSTM, 2024-08-20T21:40:32.9835294Z ... }, 2024-08-20T21:40:32.9835741Z ... 'observed_to_quantized_custom_module_class': { 2024-08-20T21:40:32.9836288Z ... nn.quantizable.LSTM: nn.quantized.LSTM, 2024-08-20T21:40:32.9836740Z ... } 2024-08-20T21:40:32.9837020Z ... } 2024-08-20T21:40:32.9837542Z >>> tq.prepare(model, prepare_custom_module_class=custom_module_config) 2024-08-20T21:40:32.9838289Z >>> tq.convert(model, convert_custom_module_class=custom_module_config) 2024-08-20T21:40:32.9838835Z 2024-08-20T21:40:32.9839389Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9839961Z 2024-08-20T21:40:32.9840205Z warnings.warn(msg) 2024-08-20T21:40:32.9840501Z 2024-08-20T21:40:32.9840830Z --- Parse Warning: 92 / 101 --- 2024-08-20T21:40:32.9842779Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=227. 2024-08-20T21:40:32.9844756Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9845474Z Squashes the sparse masks into the appropriate tensors. 2024-08-20T21:40:32.9845943Z 2024-08-20T21:40:32.9846362Z If either the `params_to_keep` or `params_to_keep_per_layer` is set, 2024-08-20T21:40:32.9847057Z the module will have a `sparse_params` dict attached to it. 2024-08-20T21:40:32.9847561Z 2024-08-20T21:40:32.9847783Z Args: 2024-08-20T21:40:32.9848194Z params_to_keep: List of keys to save in the module or a dict 2024-08-20T21:40:32.9848882Z representing the modules and keys that will have 2024-08-20T21:40:32.9849430Z sparsity parameters saved 2024-08-20T21:40:32.9850047Z params_to_keep_per_layer: Dict to specify the params that should be 2024-08-20T21:40:32.9850708Z saved for specific layers. The keys in the dict 2024-08-20T21:40:32.9851308Z should be the module fqn, while the values should 2024-08-20T21:40:32.9851923Z be a list of strings with the names of the variables 2024-08-20T21:40:32.9852482Z to save in the `sparse_params` 2024-08-20T21:40:32.9852902Z 2024-08-20T21:40:32.9853130Z Examples: 2024-08-20T21:40:32.9853490Z >>> # xdoctest: +SKIP("locals are undefined") 2024-08-20T21:40:32.9854041Z >>> # Don't save any sparse params 2024-08-20T21:40:32.9854505Z >>> sparsifier.squash_mask() 2024-08-20T21:40:32.9855049Z >>> hasattr(model.submodule1, 'sparse_params') 2024-08-20T21:40:32.9855495Z False 2024-08-20T21:40:32.9855762Z 2024-08-20T21:40:32.9856037Z >>> # Keep sparse params per layer 2024-08-20T21:40:32.9856493Z >>> sparsifier.squash_mask( 2024-08-20T21:40:32.9856934Z ... params_to_keep_per_layer={ 2024-08-20T21:40:32.9857485Z ... 'submodule1.linear1': ('foo', 'bar'), 2024-08-20T21:40:32.9858070Z ... 'submodule2.linear42': ('baz',) 2024-08-20T21:40:32.9858540Z ... }) 2024-08-20T21:40:32.9858945Z >>> print(model.submodule1.linear1.sparse_params) 2024-08-20T21:40:32.9859482Z {'foo': 42, 'bar': 24} 2024-08-20T21:40:32.9859961Z >>> print(model.submodule2.linear42.sparse_params) 2024-08-20T21:40:32.9860568Z {'baz': 0.1} 2024-08-20T21:40:32.9860875Z 2024-08-20T21:40:32.9861174Z >>> # Keep sparse params for all layers 2024-08-20T21:40:32.9861798Z >>> sparsifier.squash_mask(params_to_keep=('foo', 'bar')) 2024-08-20T21:40:32.9862403Z >>> print(model.submodule1.linear1.sparse_params) 2024-08-20T21:40:32.9862942Z {'foo': 42, 'bar': 24} 2024-08-20T21:40:32.9863420Z >>> print(model.submodule2.linear42.sparse_params) 2024-08-20T21:40:32.9863948Z {'foo': 42, 'bar': 24} 2024-08-20T21:40:32.9864300Z 2024-08-20T21:40:32.9864779Z >>> # Keep some sparse params for all layers, and specific ones for 2024-08-20T21:40:32.9865339Z >>> # some other layers 2024-08-20T21:40:32.9865750Z >>> sparsifier.squash_mask( 2024-08-20T21:40:32.9866265Z ... params_to_keep=('foo', 'bar'), 2024-08-20T21:40:32.9866720Z ... params_to_keep_per_layer={ 2024-08-20T21:40:32.9867267Z ... 'submodule2.linear42': ('baz',) 2024-08-20T21:40:32.9867704Z ... }) 2024-08-20T21:40:32.9868110Z >>> print(model.submodule1.linear1.sparse_params) 2024-08-20T21:40:32.9868648Z {'foo': 42, 'bar': 24} 2024-08-20T21:40:32.9869130Z >>> print(model.submodule2.linear42.sparse_params) 2024-08-20T21:40:32.9869695Z {'foo': 42, 'bar': 24, 'baz': 0.1} 2024-08-20T21:40:32.9870096Z 2024-08-20T21:40:32.9870656Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9871231Z 2024-08-20T21:40:32.9871470Z warnings.warn(msg) 2024-08-20T21:40:32.9871765Z 2024-08-20T21:40:32.9872096Z --- Parse Warning: 93 / 101 --- 2024-08-20T21:40:32.9874008Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DTypeConfig in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181. 2024-08-20T21:40:32.9875999Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9876582Z 2024-08-20T21:40:32.9877050Z Config object that specifies the supported data types passed as arguments to 2024-08-20T21:40:32.9884884Z quantize ops in the reference model spec, for input and output activations, 2024-08-20T21:40:32.9885570Z weights, and biases. 2024-08-20T21:40:32.9885880Z 2024-08-20T21:40:32.9886213Z For example, consider the following reference model: 2024-08-20T21:40:32.9886680Z 2024-08-20T21:40:32.9887135Z quant1 - [dequant1 - fp32_linear - quant2] - dequant2 2024-08-20T21:40:32.9887577Z 2024-08-20T21:40:32.9888017Z The pattern in the square brackets refers to the reference pattern of 2024-08-20T21:40:32.9888788Z statically quantized linear. Setting the input dtype as `torch.quint8` 2024-08-20T21:40:32.9889571Z in the DTypeConfig means we pass in `torch.quint8` as the dtype argument 2024-08-20T21:40:32.9890365Z to the first quantize op (quant1). Similarly, setting the output dtype as 2024-08-20T21:40:32.9891148Z `torch.quint8` means we pass in `torch.quint8` as the dtype argument to 2024-08-20T21:40:32.9891737Z the second quantize op (quant2). 2024-08-20T21:40:32.9892103Z 2024-08-20T21:40:32.9892537Z Note that the dtype here does not refer to the interface dtypes of the 2024-08-20T21:40:32.9893284Z op. For example, the "input dtype" here is not the dtype of the input 2024-08-20T21:40:32.9894031Z tensor passed to the quantized linear op. Though it can still be the 2024-08-20T21:40:32.9894857Z same as the interface dtype, this is not always the case, e.g. the 2024-08-20T21:40:32.9895585Z interface dtype is fp32 in dynamic quantization but the "input dtype" 2024-08-20T21:40:32.9896347Z specified in the DTypeConfig would still be quint8. The semantics of 2024-08-20T21:40:32.9897100Z dtypes here are the same as the semantics of the dtypes specified in 2024-08-20T21:40:32.9897660Z the observers. 2024-08-20T21:40:32.9897924Z 2024-08-20T21:40:32.9898376Z These dtypes are matched against the ones specified in the user's 2024-08-20T21:40:32.9899116Z QConfig. If there is a match, and the QConfig satisfies the constraints 2024-08-20T21:40:32.9899884Z specified in the DTypeConfig (if any), then we will quantize the given 2024-08-20T21:40:32.9900769Z pattern using this DTypeConfig. Otherwise, the QConfig is ignored and 2024-08-20T21:40:32.9901381Z the pattern will not be quantized. 2024-08-20T21:40:32.9902199Z 2024-08-20T21:40:32.9902459Z Example usage:: 2024-08-20T21:40:32.9902737Z 2024-08-20T21:40:32.9902992Z >>> # xdoctest: +SKIP(failing) 2024-08-20T21:40:32.9903414Z >>> dtype_config1 = DTypeConfig( 2024-08-20T21:40:32.9903840Z ... input_dtype=torch.quint8, 2024-08-20T21:40:32.9904251Z ... output_dtype=torch.quint8, 2024-08-20T21:40:32.9904685Z ... weight_dtype=torch.qint8, 2024-08-20T21:40:32.9905102Z ... bias_dtype=torch.float) 2024-08-20T21:40:32.9905463Z 2024-08-20T21:40:32.9905732Z >>> dtype_config2 = DTypeConfig( 2024-08-20T21:40:32.9906190Z ... input_dtype=DTypeWithConstraints( 2024-08-20T21:40:32.9906628Z ... dtype=torch.quint8, 2024-08-20T21:40:32.9907048Z ... quant_min_lower_bound=0, 2024-08-20T21:40:32.9907492Z ... quant_max_upper_bound=255, 2024-08-20T21:40:32.9907885Z ... ), 2024-08-20T21:40:32.9908232Z ... output_dtype=DTypeWithConstraints( 2024-08-20T21:40:32.9908695Z ... dtype=torch.quint8, 2024-08-20T21:40:32.9909096Z ... quant_min_lower_bound=0, 2024-08-20T21:40:32.9909537Z ... quant_max_upper_bound=255, 2024-08-20T21:40:32.9909942Z ... ), 2024-08-20T21:40:32.9910274Z ... weight_dtype=DTypeWithConstraints( 2024-08-20T21:40:32.9910769Z ... dtype=torch.qint8, 2024-08-20T21:40:32.9911268Z ... quant_min_lower_bound=-128, 2024-08-20T21:40:32.9911705Z ... quant_max_upper_bound=127, 2024-08-20T21:40:32.9912107Z ... ), 2024-08-20T21:40:32.9912408Z ... bias_dtype=torch.float) 2024-08-20T21:40:32.9912775Z 2024-08-20T21:40:32.9913046Z >>> dtype_config1.input_dtype 2024-08-20T21:40:32.9913429Z torch.quint8 2024-08-20T21:40:32.9913703Z 2024-08-20T21:40:32.9913963Z >>> dtype_config2.input_dtype 2024-08-20T21:40:32.9914347Z torch.quint8 2024-08-20T21:40:32.9914622Z 2024-08-20T21:40:32.9914937Z >>> dtype_config2.input_dtype_with_constraints 2024-08-20T21:40:32.9915982Z DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None) 2024-08-20T21:40:32.9916926Z 2024-08-20T21:40:32.9917474Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9918066Z 2024-08-20T21:40:32.9918301Z warnings.warn(msg) 2024-08-20T21:40:32.9918603Z 2024-08-20T21:40:32.9918957Z --- Parse Warning: 94 / 101 --- 2024-08-20T21:40:32.9921160Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301. 2024-08-20T21:40:32.9923387Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9924032Z 2024-08-20T21:40:32.9924541Z Takes in optional filter values and generates two tables with desired information. 2024-08-20T21:40:32.9925157Z 2024-08-20T21:40:32.9925819Z The generated tables are presented in both a list-of-lists format 2024-08-20T21:40:32.9926366Z 2024-08-20T21:40:32.9926782Z The reason for the two tables are that they handle different things: 2024-08-20T21:40:32.9927461Z 1.) the first table handles all tensor level information 2024-08-20T21:40:32.9928148Z 2.) the second table handles and displays all channel based information 2024-08-20T21:40:32.9928703Z 2024-08-20T21:40:32.9929311Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2024-08-20T21:40:32.9930508Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2024-08-20T21:40:32.9931721Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2024-08-20T21:40:32.9932484Z 2024-08-20T21:40:32.9932741Z Tensor table columns: 2024-08-20T21:40:32.9933219Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2024-08-20T21:40:32.9933920Z ---- --------- --------- --------- --------- --------- 2024-08-20T21:40:32.9934383Z 2024-08-20T21:40:32.9934679Z Per-Channel table columns: 2024-08-20T21:40:32.9935229Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2024-08-20T21:40:32.9936000Z ---- --------- ------- --------- --------- --------- --------- 2024-08-20T21:40:32.9936476Z 2024-08-20T21:40:32.9936697Z Args: 2024-08-20T21:40:32.9937199Z feature_filter (str, optional): Filters the features presented to only those that 2024-08-20T21:40:32.9937869Z contain this filter substring 2024-08-20T21:40:32.9938376Z Default = "", results in all the features being printed 2024-08-20T21:40:32.9939115Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-08-20T21:40:32.9939986Z Default = "", results in all the modules in the reports to be visible in the table 2024-08-20T21:40:32.9940688Z 2024-08-20T21:40:32.9941013Z Returns a dictionary with two keys: 2024-08-20T21:40:32.9941542Z (Dict[str, Tuple[List, List]]) A dict containing two keys: 2024-08-20T21:40:32.9942093Z "tensor_level_info", "channel_level_info" 2024-08-20T21:40:32.9942562Z Each key maps to a tuple with: 2024-08-20T21:40:32.9943025Z A list of the headers of each table 2024-08-20T21:40:32.9943603Z A list of lists containing the table information row by row 2024-08-20T21:40:32.9944274Z The 0th index row will contain the headers of the columns 2024-08-20T21:40:32.9944846Z The rest of the rows will contain data 2024-08-20T21:40:32.9945262Z 2024-08-20T21:40:32.9945506Z Example Use: 2024-08-20T21:40:32.9945853Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:32.9946378Z >>> mod_report_visualizer.generate_filtered_tables( 2024-08-20T21:40:32.9946907Z ... feature_filter = "per_channel_min", 2024-08-20T21:40:32.9947374Z ... module_fqn_filter = "block1" 2024-08-20T21:40:32.9948037Z ... ) # generates table with per_channel_min info for all modules in block 1 of the model 2024-08-20T21:40:32.9948670Z 2024-08-20T21:40:32.9949230Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9949815Z 2024-08-20T21:40:32.9950053Z warnings.warn(msg) 2024-08-20T21:40:32.9950358Z 2024-08-20T21:40:32.9950696Z --- Parse Warning: 95 / 101 --- 2024-08-20T21:40:32.9952944Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=400. 2024-08-20T21:40:32.9955257Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9955865Z 2024-08-20T21:40:32.9956370Z Takes in optional filter values and prints out formatted tables of the information. 2024-08-20T21:40:32.9957008Z 2024-08-20T21:40:32.9957638Z The reason for the two tables printed out instead of one large one are that they handle different things: 2024-08-20T21:40:32.9958502Z 1.) the first table handles all tensor level information 2024-08-20T21:40:32.9959182Z 2.) the second table handles and displays all channel based information 2024-08-20T21:40:32.9959741Z 2024-08-20T21:40:32.9960341Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2024-08-20T21:40:32.9961593Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2024-08-20T21:40:32.9962723Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2024-08-20T21:40:32.9963474Z 2024-08-20T21:40:32.9963709Z Tensor table columns: 2024-08-20T21:40:32.9964196Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2024-08-20T21:40:32.9964884Z ---- --------- --------- --------- --------- --------- 2024-08-20T21:40:32.9965316Z 2024-08-20T21:40:32.9965614Z Per-Channel table columns: 2024-08-20T21:40:32.9965951Z 2024-08-20T21:40:32.9966378Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2024-08-20T21:40:32.9967132Z ---- --------- ------- --------- --------- --------- --------- 2024-08-20T21:40:32.9967598Z 2024-08-20T21:40:32.9967816Z Args: 2024-08-20T21:40:32.9968320Z feature_filter (str, optional): Filters the features presented to only those that 2024-08-20T21:40:32.9968989Z contain this filter substring 2024-08-20T21:40:32.9969494Z Default = "", results in all the features being printed 2024-08-20T21:40:32.9970238Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-08-20T21:40:32.9971147Z Default = "", results in all the modules in the reports to be visible in the table 2024-08-20T21:40:32.9971742Z 2024-08-20T21:40:32.9971986Z Example Use: 2024-08-20T21:40:32.9972334Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:32.9972881Z >>> mod_report_visualizer.generate_table_visualization( 2024-08-20T21:40:32.9973434Z ... feature_filter = "per_channel_min", 2024-08-20T21:40:32.9973909Z ... module_fqn_filter = "block1" 2024-08-20T21:40:32.9974297Z ... ) 2024-08-20T21:40:32.9974721Z >>> # prints out neatly formatted table with per_channel_min info 2024-08-20T21:40:32.9975325Z >>> # for all modules in block 1 of the model 2024-08-20T21:40:32.9975738Z 2024-08-20T21:40:32.9976287Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:32.9976874Z 2024-08-20T21:40:32.9977105Z warnings.warn(msg) 2024-08-20T21:40:32.9977412Z 2024-08-20T21:40:32.9977769Z --- Parse Warning: 96 / 101 --- 2024-08-20T21:40:32.9980002Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=565. 2024-08-20T21:40:32.9982328Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:32.9982932Z 2024-08-20T21:40:32.9983406Z Takes in a feature and optional module_filter and plots of the desired data. 2024-08-20T21:40:32.9983984Z 2024-08-20T21:40:32.9984540Z For per channel features, it averages the value across the channels and plots a point 2024-08-20T21:40:32.9985456Z per module. The reason for this is that for models with hundreds of channels, it can 2024-08-20T21:40:32.9986370Z be hard to differentiate one channel line from another, and so the point of generating 2024-08-20T21:40:32.9987311Z a single average point per module is to give a sense of general trends that encourage 2024-08-20T21:40:32.9987975Z further deep dives. 2024-08-20T21:40:32.9988277Z 2024-08-20T21:40:32.9988495Z Note: 2024-08-20T21:40:32.9989020Z Only features in the report that have tensor value data are plottable by this class 2024-08-20T21:40:32.9989782Z When the tensor information is plotted, it will plot: 2024-08-20T21:40:32.9990341Z idx as the x val, feature value as the y_val 2024-08-20T21:40:32.9990912Z When the channel information is plotted, it will plot: 2024-08-20T21:40:32.9991789Z the first idx of each module as the x val, feature value as the y_val [for each channel] 2024-08-20T21:40:32.9992685Z The reason for this is that we want to be able to compare values across the 2024-08-20T21:40:32.9993526Z channels for same layer, and it will be hard if values are staggered by idx 2024-08-20T21:40:32.9994265Z This means each module is represented by only 1 x value 2024-08-20T21:40:32.9994749Z Args: 2024-08-20T21:40:32.9995205Z feature_filter (str): Filters the features presented to only those that 2024-08-20T21:40:32.9995823Z contain this filter substring 2024-08-20T21:40:32.9996460Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-08-20T21:40:32.9997334Z Default = "", results in all the modules in the reports to be visible in the table 2024-08-20T21:40:32.9997938Z 2024-08-20T21:40:32.9998168Z Example Use: 2024-08-20T21:40:32.9998525Z >>> # xdoctest: +SKIP("undefined variables") 2024-08-20T21:40:32.9999080Z >>> mod_report_visualizer.generate_plot_visualization( 2024-08-20T21:40:32.9999622Z ... feature_filter = "per_channel_min", 2024-08-20T21:40:33.0000086Z ... module_fqn_filter = "block1" 2024-08-20T21:40:33.0000484Z ... ) 2024-08-20T21:40:33.0000923Z >>> # outputs line plot of per_channel_min information for all 2024-08-20T21:40:33.0001659Z >>> # modules in block1 of model each channel gets it's own line, 2024-08-20T21:40:33.0002401Z >>> # and it's plotted across the in-order modules on the x-axis 2024-08-20T21:40:33.0002904Z 2024-08-20T21:40:33.0003434Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:33.0004019Z 2024-08-20T21:40:33.0004267Z warnings.warn(msg) 2024-08-20T21:40:33.0004566Z 2024-08-20T21:40:33.0004917Z --- Parse Warning: 97 / 101 --- 2024-08-20T21:40:33.0007197Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=645. 2024-08-20T21:40:33.0009466Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:33.0010075Z 2024-08-20T21:40:33.0010598Z Takes in a feature and optional module_filter and plots the histogram of desired data. 2024-08-20T21:40:33.0011228Z 2024-08-20T21:40:33.0011461Z Note: 2024-08-20T21:40:33.0011988Z Only features in the report that have tensor value data can be viewed as a histogram 2024-08-20T21:40:33.0012917Z If you want to plot a histogram from all the channel values of a specific feature for 2024-08-20T21:40:33.0013809Z a specific model, make sure to specify both the model and the feature properly 2024-08-20T21:40:33.0014691Z in the filters and you should be able to see a distribution of the channel data 2024-08-20T21:40:33.0015347Z 2024-08-20T21:40:33.0015569Z Args: 2024-08-20T21:40:33.0016075Z feature_filter (str, optional): Filters the features presented to only those that 2024-08-20T21:40:33.0016742Z contain this filter substring 2024-08-20T21:40:33.0017248Z Default = "", results in all the features being printed 2024-08-20T21:40:33.0017993Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-08-20T21:40:33.0018856Z Default = "", results in all the modules in the reports to be visible in the table 2024-08-20T21:40:33.0019670Z num_bins (int, optional): The number of bins to create the histogram with 2024-08-20T21:40:33.0020413Z Default = 10, the values will be split into 10 equal sized bins 2024-08-20T21:40:33.0021027Z 2024-08-20T21:40:33.0021257Z Example Use: 2024-08-20T21:40:33.0021617Z >>> # xdoctest: +SKIP 2024-08-20T21:40:33.0022253Z >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization( 2024-08-20T21:40:33.0022964Z ... feature_filter = "per_channel_min", 2024-08-20T21:40:33.0023434Z ... module_fqn_filter = "block1" 2024-08-20T21:40:33.0023829Z ... ) 2024-08-20T21:40:33.0024370Z # outputs histogram of per_channel_min information for all modules in block1 of model 2024-08-20T21:40:33.0025249Z information is gathered across all channels for all modules in block 1 for the 2024-08-20T21:40:33.0026332Z per_channel_min and is displayed in a histogram of equally sized bins 2024-08-20T21:40:33.0026900Z 2024-08-20T21:40:33.0027454Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:33.0028045Z 2024-08-20T21:40:33.0028294Z warnings.warn(msg) 2024-08-20T21:40:33.0028590Z 2024-08-20T21:40:33.0028948Z --- Parse Warning: 98 / 101 --- 2024-08-20T21:40:33.0030824Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixtureSameFamily in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/mixture_same_family.py line=13. 2024-08-20T21:40:33.0032722Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:33.0033415Z 2024-08-20T21:40:33.0033845Z The `MixtureSameFamily` distribution implements a (batch of) mixture 2024-08-20T21:40:33.0034623Z distribution where all component are from different parameterizations of 2024-08-20T21:40:33.0035404Z the same distribution type. It is parameterized by a `Categorical` 2024-08-20T21:40:33.0036114Z "selecting distribution" (over `k` component) and a component 2024-08-20T21:40:33.0036806Z distribution, i.e., a `Distribution` with a rightmost batch shape 2024-08-20T21:40:33.0037459Z (equal to `[k]`) which indexes each (batch of) component. 2024-08-20T21:40:33.0037935Z 2024-08-20T21:40:33.0038182Z Examples:: 2024-08-20T21:40:33.0038433Z 2024-08-20T21:40:33.0038727Z >>> # xdoctest: +SKIP("undefined vars") 2024-08-20T21:40:33.0039317Z >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally 2024-08-20T21:40:33.0039890Z >>> # weighted normal distributions 2024-08-20T21:40:33.0040354Z >>> mix = D.Categorical(torch.ones(5,)) 2024-08-20T21:40:33.0040870Z >>> comp = D.Normal(torch.randn(5,), torch.rand(5,)) 2024-08-20T21:40:33.0041377Z >>> gmm = MixtureSameFamily(mix, comp) 2024-08-20T21:40:33.0041784Z 2024-08-20T21:40:33.0042192Z >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally 2024-08-20T21:40:33.0042796Z >>> # weighted bivariate normal distributions 2024-08-20T21:40:33.0043289Z >>> mix = D.Categorical(torch.ones(5,)) 2024-08-20T21:40:33.0043747Z >>> comp = D.Independent(D.Normal( 2024-08-20T21:40:33.0044216Z ... torch.randn(5,2), torch.rand(5,2)), 1) 2024-08-20T21:40:33.0044767Z >>> gmm = MixtureSameFamily(mix, comp) 2024-08-20T21:40:33.0045180Z 2024-08-20T21:40:33.0045550Z >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each 2024-08-20T21:40:33.0046244Z >>> # consisting of 5 random weighted bivariate normal distributions 2024-08-20T21:40:33.0046850Z >>> mix = D.Categorical(torch.rand(3,5)) 2024-08-20T21:40:33.0047301Z >>> comp = D.Independent(D.Normal( 2024-08-20T21:40:33.0047782Z ... torch.randn(3,5,2), torch.rand(3,5,2)), 1) 2024-08-20T21:40:33.0048290Z >>> gmm = MixtureSameFamily(mix, comp) 2024-08-20T21:40:33.0048688Z 2024-08-20T21:40:33.0048920Z Args: 2024-08-20T21:40:33.0049416Z mixture_distribution: `torch.distributions.Categorical`-like 2024-08-20T21:40:33.0050084Z instance. Manages the probability of selecting component. 2024-08-20T21:40:33.0050821Z The number of categories must match the rightmost batch 2024-08-20T21:40:33.0051479Z dimension of the `component_distribution`. Must have either 2024-08-20T21:40:33.0052087Z scalar `batch_shape` or `batch_shape` matching 2024-08-20T21:40:33.0052670Z `component_distribution.batch_shape[:-1]` 2024-08-20T21:40:33.0053365Z component_distribution: `torch.distributions.Distribution`-like 2024-08-20T21:40:33.0054116Z instance. Right-most batch dimension indexes component. 2024-08-20T21:40:33.0054598Z 2024-08-20T21:40:33.0055141Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:33.0055723Z 2024-08-20T21:40:33.0055959Z warnings.warn(msg) 2024-08-20T21:40:33.0056267Z 2024-08-20T21:40:33.0056615Z --- Parse Warning: 99 / 101 --- 2024-08-20T21:40:33.0058447Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedBernoulli in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/relaxed_bernoulli.py line=111. 2024-08-20T21:40:33.0060338Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:33.0061041Z 2024-08-20T21:40:33.0061403Z Creates a RelaxedBernoulli distribution, parametrized by 2024-08-20T21:40:33.0062098Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits` 2024-08-20T21:40:33.0062828Z (but not both). This is a relaxed version of the `Bernoulli` distribution, 2024-08-20T21:40:33.0063550Z so the values are in (0, 1), and has reparametrizable samples. 2024-08-20T21:40:33.0064060Z 2024-08-20T21:40:33.0064305Z Example:: 2024-08-20T21:40:33.0064548Z 2024-08-20T21:40:33.0064942Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-08-20T21:40:33.0065473Z >>> m = RelaxedBernoulli(torch.tensor([2.2]), 2024-08-20T21:40:33.0065982Z ... torch.tensor([0.1, 0.2, 0.3, 0.99])) 2024-08-20T21:40:33.0066439Z >>> m.sample() 2024-08-20T21:40:33.0066790Z tensor([ 0.2951, 0.3442, 0.8918, 0.9021]) 2024-08-20T21:40:33.0066878Z 2024-08-20T21:40:33.0066983Z Args: 2024-08-20T21:40:33.0067163Z temperature (Tensor): relaxation temperature 2024-08-20T21:40:33.0067389Z probs (Number, Tensor): the probability of sampling `1` 2024-08-20T21:40:33.0067677Z logits (Number, Tensor): the log-odds of sampling `1` 2024-08-20T21:40:33.0067767Z 2024-08-20T21:40:33.0068168Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:33.0068266Z 2024-08-20T21:40:33.0068377Z warnings.warn(msg) 2024-08-20T21:40:33.0068470Z 2024-08-20T21:40:33.0068700Z --- Parse Warning: 100 / 101 --- 2024-08-20T21:40:33.0070292Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedOneHotCategorical in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/relaxed_categorical.py line=99. 2024-08-20T21:40:33.0070747Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:33.0070846Z 2024-08-20T21:40:33.0071129Z Creates a RelaxedOneHotCategorical distribution parametrized by 2024-08-20T21:40:33.0071397Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`. 2024-08-20T21:40:33.0071729Z This is a relaxed version of the :class:`OneHotCategorical` distribution, so 2024-08-20T21:40:33.0071942Z its samples are on simplex, and are reparametrizable. 2024-08-20T21:40:33.0072044Z 2024-08-20T21:40:33.0072146Z Example:: 2024-08-20T21:40:33.0072236Z 2024-08-20T21:40:33.0072493Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-08-20T21:40:33.0072703Z >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]), 2024-08-20T21:40:33.0072885Z ... torch.tensor([0.1, 0.2, 0.3, 0.4])) 2024-08-20T21:40:33.0073053Z >>> m.sample() 2024-08-20T21:40:33.0073211Z tensor([ 0.1294, 0.2324, 0.3859, 0.2523]) 2024-08-20T21:40:33.0073302Z 2024-08-20T21:40:33.0073404Z Args: 2024-08-20T21:40:33.0073583Z temperature (Tensor): relaxation temperature 2024-08-20T21:40:33.0073729Z probs (Tensor): event probabilities 2024-08-20T21:40:33.0073992Z logits (Tensor): unnormalized log probability for each event 2024-08-20T21:40:33.0074081Z 2024-08-20T21:40:33.0074496Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:33.0074585Z 2024-08-20T21:40:33.0074698Z warnings.warn(msg) 2024-08-20T21:40:33.0074798Z 2024-08-20T21:40:33.0075016Z --- Parse Warning: 101 / 101 --- 2024-08-20T21:40:33.0076428Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_close in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_comparison.py line=1274. 2024-08-20T21:40:33.0076858Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-08-20T21:40:33.0077052Z Asserts that ``actual`` and ``expected`` are close. 2024-08-20T21:40:33.0077141Z 2024-08-20T21:40:33.0077765Z If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if 2024-08-20T21:40:33.0077885Z 2024-08-20T21:40:33.0077987Z .. math:: 2024-08-20T21:40:33.0078084Z 2024-08-20T21:40:33.0078740Z \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert 2024-08-20T21:40:33.0078836Z 2024-08-20T21:40:33.0079425Z Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are 2024-08-20T21:40:33.0079698Z only considered equal to each other if ``equal_nan`` is ``True``. 2024-08-20T21:40:33.0079797Z 2024-08-20T21:40:33.0080078Z In addition, they are only considered close if they have the same 2024-08-20T21:40:33.0080170Z 2024-08-20T21:40:33.0080509Z - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``), 2024-08-20T21:40:33.0080732Z - ``dtype`` (if ``check_dtype`` is ``True``), 2024-08-20T21:40:33.0080973Z - ``layout`` (if ``check_layout`` is ``True``), and 2024-08-20T21:40:33.0081194Z - stride (if ``check_stride`` is ``True``). 2024-08-20T21:40:33.0081283Z 2024-08-20T21:40:33.0081710Z If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed. 2024-08-20T21:40:33.0081805Z 2024-08-20T21:40:33.0082327Z If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are 2024-08-20T21:40:33.0082847Z checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR, 2024-08-20T21:40:33.0083167Z or ``ccol_indices`` and ``row_indices`` for CSC and BSC layouts, respectively, 2024-08-20T21:40:33.0083740Z are always checked for equality whereas the values are checked for closeness according to the definition above. 2024-08-20T21:40:33.0083837Z 2024-08-20T21:40:33.0084235Z If ``actual`` and ``expected`` are quantized, they are considered close if they have the same 2024-08-20T21:40:33.0084734Z :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the 2024-08-20T21:40:33.0084857Z definition above. 2024-08-20T21:40:33.0084947Z 2024-08-20T21:40:33.0085491Z ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which 2024-08-20T21:40:33.0086126Z :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types 2024-08-20T21:40:33.0086748Z have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s 2024-08-20T21:40:33.0087405Z or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all 2024-08-20T21:40:33.0087715Z their elements are considered close according to the above definition. 2024-08-20T21:40:33.0087804Z 2024-08-20T21:40:33.0087914Z .. note:: 2024-08-20T21:40:33.0088003Z 2024-08-20T21:40:33.0088462Z Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e. 2024-08-20T21:40:33.0089029Z :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus, 2024-08-20T21:40:33.0089410Z Python scalars of different types can be checked, but require ``check_dtype=False``. 2024-08-20T21:40:33.0089508Z 2024-08-20T21:40:33.0089602Z Args: 2024-08-20T21:40:33.0089731Z actual (Any): Actual input. 2024-08-20T21:40:33.0089887Z expected (Any): Expected input. 2024-08-20T21:40:33.0090377Z allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types 2024-08-20T21:40:33.0090589Z are allowed. Otherwise type equality is required. 2024-08-20T21:40:33.0091095Z rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default 2024-08-20T21:40:33.0091498Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2024-08-20T21:40:33.0092000Z atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default 2024-08-20T21:40:33.0092371Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2024-08-20T21:40:33.0092726Z equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal. 2024-08-20T21:40:33.0093143Z check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same 2024-08-20T21:40:33.0093486Z :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different 2024-08-20T21:40:33.0093897Z :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared. 2024-08-20T21:40:33.0094389Z check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this 2024-08-20T21:40:33.0094971Z check is disabled, tensors with different ``dtype``'s are promoted to a common ``dtype`` (according to 2024-08-20T21:40:33.0095195Z :func:`torch.promote_types`) before being compared. 2024-08-20T21:40:33.0095686Z check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this 2024-08-20T21:40:33.0096243Z check is disabled, tensors with different ``layout``'s are converted to strided tensors before being 2024-08-20T21:40:33.0096362Z compared. 2024-08-20T21:40:33.0096894Z check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride. 2024-08-20T21:40:33.0097379Z msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during 2024-08-20T21:40:33.0097901Z the comparison. Can also passed as callable in which case it will be called with the generated message and 2024-08-20T21:40:33.0098048Z should return the new message. 2024-08-20T21:40:33.0098144Z 2024-08-20T21:40:33.0098236Z Raises: 2024-08-20T21:40:33.0098545Z ValueError: If no :class:`torch.Tensor` can be constructed from an input. 2024-08-20T21:40:33.0098770Z ValueError: If only ``rtol`` or ``atol`` is specified. 2024-08-20T21:40:33.0099198Z AssertionError: If corresponding inputs are not Python scalars and are not directly related. 2024-08-20T21:40:33.0099738Z AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have 2024-08-20T21:40:33.0099868Z different types. 2024-08-20T21:40:33.0100541Z AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match. 2024-08-20T21:40:33.0101168Z AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match. 2024-08-20T21:40:33.0101581Z AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`. 2024-08-20T21:40:33.0101985Z AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same 2024-08-20T21:40:33.0102143Z :attr:`~torch.Tensor.layout`. 2024-08-20T21:40:33.0102428Z AssertionError: If only one of corresponding tensors is quantized. 2024-08-20T21:40:33.0103049Z AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s. 2024-08-20T21:40:33.0103464Z AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same 2024-08-20T21:40:33.0103612Z :attr:`~torch.Tensor.device`. 2024-08-20T21:40:33.0104074Z AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``. 2024-08-20T21:40:33.0104597Z AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride. 2024-08-20T21:40:33.0105082Z AssertionError: If the values of corresponding tensors are not close according to the definition above. 2024-08-20T21:40:33.0105180Z 2024-08-20T21:40:33.0105793Z The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching 2024-08-20T21:40:33.0106056Z ``dtype``'s, the maximum of both tolerances is used. 2024-08-20T21:40:33.0106153Z 2024-08-20T21:40:33.0106376Z +---------------------------+------------+----------+ 2024-08-20T21:40:33.0106551Z | ``dtype`` | ``rtol`` | ``atol`` | 2024-08-20T21:40:33.0106702Z +===========================+============+==========+ 2024-08-20T21:40:33.0106949Z | :attr:`~torch.float16` | ``1e-3`` | ``1e-5`` | 2024-08-20T21:40:33.0107176Z +---------------------------+------------+----------+ 2024-08-20T21:40:33.0107421Z | :attr:`~torch.bfloat16` | ``1.6e-2`` | ``1e-5`` | 2024-08-20T21:40:33.0107628Z +---------------------------+------------+----------+ 2024-08-20T21:40:33.0107886Z | :attr:`~torch.float32` | ``1.3e-6`` | ``1e-5`` | 2024-08-20T21:40:33.0108099Z +---------------------------+------------+----------+ 2024-08-20T21:40:33.0108342Z | :attr:`~torch.float64` | ``1e-7`` | ``1e-7`` | 2024-08-20T21:40:33.0108561Z +---------------------------+------------+----------+ 2024-08-20T21:40:33.0108811Z | :attr:`~torch.complex32` | ``1e-3`` | ``1e-5`` | 2024-08-20T21:40:33.0109049Z +---------------------------+------------+----------+ 2024-08-20T21:40:33.0109304Z | :attr:`~torch.complex64` | ``1.3e-6`` | ``1e-5`` | 2024-08-20T21:40:33.0109513Z +---------------------------+------------+----------+ 2024-08-20T21:40:33.0109767Z | :attr:`~torch.complex128` | ``1e-7`` | ``1e-7`` | 2024-08-20T21:40:33.0109977Z +---------------------------+------------+----------+ 2024-08-20T21:40:33.0110215Z | :attr:`~torch.quint8` | ``1.3e-6`` | ``1e-5`` | 2024-08-20T21:40:33.0110433Z +---------------------------+------------+----------+ 2024-08-20T21:40:33.0110676Z | :attr:`~torch.quint2x4` | ``1.3e-6`` | ``1e-5`` | 2024-08-20T21:40:33.0110884Z +---------------------------+------------+----------+ 2024-08-20T21:40:33.0111140Z | :attr:`~torch.quint4x2` | ``1.3e-6`` | ``1e-5`` | 2024-08-20T21:40:33.0111403Z +---------------------------+------------+----------+ 2024-08-20T21:40:33.0111646Z | :attr:`~torch.qint8` | ``1.3e-6`` | ``1e-5`` | 2024-08-20T21:40:33.0111867Z +---------------------------+------------+----------+ 2024-08-20T21:40:33.0112107Z | :attr:`~torch.qint32` | ``1.3e-6`` | ``1e-5`` | 2024-08-20T21:40:33.0112328Z +---------------------------+------------+----------+ 2024-08-20T21:40:33.0112498Z | other | ``0.0`` | ``0.0`` | 2024-08-20T21:40:33.0112707Z +---------------------------+------------+----------+ 2024-08-20T21:40:33.0112800Z 2024-08-20T21:40:33.0112900Z .. note:: 2024-08-20T21:40:33.0112987Z 2024-08-20T21:40:33.0113515Z :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged 2024-08-20T21:40:33.0114027Z to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might 2024-08-20T21:40:33.0114392Z define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default: 2024-08-20T21:40:33.0114489Z 2024-08-20T21:40:33.0114602Z >>> import functools 2024-08-20T21:40:33.0114950Z >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0) 2024-08-20T21:40:33.0115167Z >>> assert_equal(1e-9, 1e-10) 2024-08-20T21:40:33.0115321Z Traceback (most recent call last): 2024-08-20T21:40:33.0115420Z ... 2024-08-20T21:40:33.0115581Z AssertionError: Scalars are not equal! 2024-08-20T21:40:33.0115684Z 2024-08-20T21:40:33.0115874Z Expected 1e-10 but got 1e-09. 2024-08-20T21:40:33.0116099Z Absolute difference: 9.000000000000001e-10 2024-08-20T21:40:33.0116221Z Relative difference: 9.0 2024-08-20T21:40:33.0116316Z 2024-08-20T21:40:33.0116415Z Examples: 2024-08-20T21:40:33.0116568Z >>> # tensor to tensor comparison 2024-08-20T21:40:33.0116817Z >>> expected = torch.tensor([1e0, 1e-1, 1e-2]) 2024-08-20T21:40:33.0116992Z >>> actual = torch.acos(torch.cos(expected)) 2024-08-20T21:40:33.0117186Z >>> torch.testing.assert_close(actual, expected) 2024-08-20T21:40:33.0117280Z 2024-08-20T21:40:33.0117423Z >>> # scalar to scalar comparison 2024-08-20T21:40:33.0117530Z >>> import math 2024-08-20T21:40:33.0117668Z >>> expected = math.sqrt(2.0) 2024-08-20T21:40:33.0117803Z >>> actual = 2.0 / math.sqrt(2.0) 2024-08-20T21:40:33.0117992Z >>> torch.testing.assert_close(actual, expected) 2024-08-20T21:40:33.0118088Z 2024-08-20T21:40:33.0118255Z >>> # numpy array to numpy array comparison 2024-08-20T21:40:33.0118379Z >>> import numpy as np 2024-08-20T21:40:33.0118601Z >>> expected = np.array([1e0, 1e-1, 1e-2]) 2024-08-20T21:40:33.0118763Z >>> actual = np.arccos(np.cos(expected)) 2024-08-20T21:40:33.0118965Z >>> torch.testing.assert_close(actual, expected) 2024-08-20T21:40:33.0119080Z 2024-08-20T21:40:33.0119230Z >>> # sequence to sequence comparison 2024-08-20T21:40:33.0119354Z >>> import numpy as np 2024-08-20T21:40:33.0119716Z >>> # The types of the sequences do not have to match. They only have to have the same 2024-08-20T21:40:33.0119893Z >>> # length and their elements have to match. 2024-08-20T21:40:33.0120113Z >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)] 2024-08-20T21:40:33.0120242Z >>> actual = tuple(expected) 2024-08-20T21:40:33.0120431Z >>> torch.testing.assert_close(actual, expected) 2024-08-20T21:40:33.0120526Z 2024-08-20T21:40:33.0120678Z >>> # mapping to mapping comparison 2024-08-20T21:40:33.0120846Z >>> from collections import OrderedDict 2024-08-20T21:40:33.0120965Z >>> import numpy as np 2024-08-20T21:40:33.0121140Z >>> foo = torch.tensor(1.0) 2024-08-20T21:40:33.0121253Z >>> bar = 2.0 2024-08-20T21:40:33.0121368Z >>> baz = np.array(3.0) 2024-08-20T21:40:33.0121725Z >>> # The types and a possible ordering of mappings do not have to match. They only 2024-08-20T21:40:33.0122028Z >>> # have to have the same set of keys and their elements have to match. 2024-08-20T21:40:33.0122304Z >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)]) 2024-08-20T21:40:33.0122480Z >>> actual = {"baz": baz, "bar": bar, "foo": foo} 2024-08-20T21:40:33.0122677Z >>> torch.testing.assert_close(actual, expected) 2024-08-20T21:40:33.0122766Z 2024-08-20T21:40:33.0122931Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2024-08-20T21:40:33.0123076Z >>> actual = expected.clone() 2024-08-20T21:40:33.0123311Z >>> # By default, directly related instances can be compared 2024-08-20T21:40:33.0123609Z >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected) 2024-08-20T21:40:33.0123877Z >>> # This check can be made more strict with allow_subclasses=False 2024-08-20T21:40:33.0124018Z >>> torch.testing.assert_close( 2024-08-20T21:40:33.0124296Z ... torch.nn.Parameter(actual), expected, allow_subclasses=False 2024-08-20T21:40:33.0124435Z ... ) 2024-08-20T21:40:33.0124586Z Traceback (most recent call last): 2024-08-20T21:40:33.0124690Z ... 2024-08-20T21:40:33.0124961Z TypeError: No comparison pair was able to handle inputs of type 2024-08-20T21:40:33.0125335Z and . 2024-08-20T21:40:33.0125856Z >>> # If the inputs are not directly related, they are never considered close 2024-08-20T21:40:33.0126107Z >>> torch.testing.assert_close(actual.numpy(), expected) 2024-08-20T21:40:33.0126267Z Traceback (most recent call last): 2024-08-20T21:40:33.0126376Z ... 2024-08-20T21:40:33.0126878Z TypeError: No comparison pair was able to handle inputs of type 2024-08-20T21:40:33.0127068Z and . 2024-08-20T21:40:33.0127438Z >>> # Exceptions to these rules are Python scalars. They can be checked regardless of 2024-08-20T21:40:33.0127597Z >>> # their type if check_dtype=False. 2024-08-20T21:40:33.0127835Z >>> torch.testing.assert_close(1.0, 1, check_dtype=False) 2024-08-20T21:40:33.0127926Z 2024-08-20T21:40:33.0128057Z >>> # NaN != NaN by default. 2024-08-20T21:40:33.0128237Z >>> expected = torch.tensor(float("Nan")) 2024-08-20T21:40:33.0128372Z >>> actual = expected.clone() 2024-08-20T21:40:33.0128567Z >>> torch.testing.assert_close(actual, expected) 2024-08-20T21:40:33.0128726Z Traceback (most recent call last): 2024-08-20T21:40:33.0128825Z ... 2024-08-20T21:40:33.0129056Z AssertionError: Scalars are not close! 2024-08-20T21:40:33.0129169Z 2024-08-20T21:40:33.0129299Z Expected nan but got nan. 2024-08-20T21:40:33.0129564Z Absolute difference: nan (up to 1e-05 allowed) 2024-08-20T21:40:33.0129821Z Relative difference: nan (up to 1.3e-06 allowed) 2024-08-20T21:40:33.0130092Z >>> torch.testing.assert_close(actual, expected, equal_nan=True) 2024-08-20T21:40:33.0130194Z 2024-08-20T21:40:33.0130363Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2024-08-20T21:40:33.0130524Z >>> actual = torch.tensor([1.0, 4.0, 5.0]) 2024-08-20T21:40:33.0130732Z >>> # The default error message can be overwritten. 2024-08-20T21:40:33.0131119Z >>> torch.testing.assert_close(actual, expected, msg="Argh, the tensors are not close!") 2024-08-20T21:40:33.0131275Z Traceback (most recent call last): 2024-08-20T21:40:33.0131445Z ... 2024-08-20T21:40:33.0131648Z AssertionError: Argh, the tensors are not close! 2024-08-20T21:40:33.0131979Z >>> # If msg is a callable, it can be used to augment the generated message with 2024-08-20T21:40:33.0132111Z >>> # extra information 2024-08-20T21:40:33.0132253Z >>> torch.testing.assert_close( 2024-08-20T21:40:33.0132532Z ... actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter" 2024-08-20T21:40:33.0132625Z ... ) 2024-08-20T21:40:33.0132775Z Traceback (most recent call last): 2024-08-20T21:40:33.0132878Z ... 2024-08-20T21:40:33.0133002Z AssertionError: Header 2024-08-20T21:40:33.0133103Z 2024-08-20T21:40:33.0133289Z Tensor-likes are not close! 2024-08-20T21:40:33.0133387Z 2024-08-20T21:40:33.0133534Z Mismatched elements: 2 / 3 (66.7%) 2024-08-20T21:40:33.0133924Z Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed) 2024-08-20T21:40:33.0134306Z Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed) 2024-08-20T21:40:33.0134407Z 2024-08-20T21:40:33.0134507Z Footer 2024-08-20T21:40:33.0134599Z 2024-08-20T21:40:33.0134999Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-08-20T21:40:33.0135131Z 2024-08-20T21:40:33.0135241Z warnings.warn(msg) 2024-08-20T21:40:33.0135325Z 2024-08-20T21:40:33.0135446Z  2024-08-20T21:40:33.0135648Z === Found 9 run-time warnings === 2024-08-20T21:40:33.0135862Z --- Runtime Warning: 1 / 9 --- 2024-08-20T21:40:33.0136202Z example = 2024-08-20T21:40:33.0138334Z /opt/conda/envs/py_3.12/lib/python3.12/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.) 2024-08-20T21:40:33.0138481Z return super().refine_names(names) 2024-08-20T21:40:33.0138568Z 2024-08-20T21:40:33.0138774Z --- Runtime Warning: 2 / 9 --- 2024-08-20T21:40:33.0139187Z example = 2024-08-20T21:40:33.0140189Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py:250: UserWarning: Warning only once for all operators, other operators may also be overridden. 2024-08-20T21:40:33.0140688Z Overriding a previously registered kernel for the same operator and the same dispatch key 2024-08-20T21:40:33.0141028Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2024-08-20T21:40:33.0141428Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2024-08-20T21:40:33.0141550Z dispatch key: CPU 2024-08-20T21:40:33.0142165Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2024-08-20T21:40:33.0142923Z new kernel: registered at /dev/null:811 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:162.) 2024-08-20T21:40:33.0143201Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2024-08-20T21:40:33.0143287Z 2024-08-20T21:40:33.0143505Z --- Runtime Warning: 3 / 9 --- 2024-08-20T21:40:33.0143813Z example = 2024-08-20T21:40:33.0145541Z /opt/conda/envs/py_3.12/lib/python3.12/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.) 2024-08-20T21:40:33.0145920Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2024-08-20T21:40:33.0146007Z 2024-08-20T21:40:33.0146216Z --- Runtime Warning: 4 / 9 --- 2024-08-20T21:40:33.0146556Z example = 2024-08-20T21:40:33.0149133Z :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.) 2024-08-20T21:40:33.0149237Z 2024-08-20T21:40:33.0149445Z --- Runtime Warning: 5 / 9 --- 2024-08-20T21:40:33.0149843Z example = 2024-08-20T21:40:33.0151520Z /opt/conda/envs/py_3.12/lib/python3.12/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) 2024-08-20T21:40:33.0151630Z warnings.warn( 2024-08-20T21:40:33.0151727Z 2024-08-20T21:40:33.0151966Z --- Runtime Warning: 6 / 9 --- 2024-08-20T21:40:33.0152402Z example = 2024-08-20T21:40:33.0154096Z /opt/conda/envs/py_3.12/lib/python3.12/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) 2024-08-20T21:40:33.0154199Z warnings.warn( 2024-08-20T21:40:33.0154294Z 2024-08-20T21:40:33.0154498Z --- Runtime Warning: 7 / 9 --- 2024-08-20T21:40:33.0154866Z example = 2024-08-20T21:40:33.0156155Z /opt/conda/envs/py_3.12/lib/python3.12/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`. 2024-08-20T21:40:33.0156300Z WeightNorm.apply(module, name, dim) 2024-08-20T21:40:33.0156383Z 2024-08-20T21:40:33.0156596Z --- Runtime Warning: 8 / 9 --- 2024-08-20T21:40:33.0157004Z example = 2024-08-20T21:40:33.0158290Z /opt/conda/envs/py_3.12/lib/python3.12/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`. 2024-08-20T21:40:33.0158432Z WeightNorm.apply(module, name, dim) 2024-08-20T21:40:33.0158516Z 2024-08-20T21:40:33.0158730Z --- Runtime Warning: 9 / 9 --- 2024-08-20T21:40:33.0159154Z example = 2024-08-20T21:40:33.0161473Z /opt/conda/envs/py_3.12/lib/python3.12/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 2024-08-20T21:40:33.0161701Z new_node = root_const_gm.graph.get_attr(in_node.target) 2024-08-20T21:40:33.0161788Z 2024-08-20T21:40:33.0162170Z === 335 passed, 360 skipped, 110 warnings in 12.47 seconds === 2024-08-20T21:40:33.0162527Z Running inductor/test_max_autotune 1/1 ... [2024-08-20 21:40:32.735424] 2024-08-20T21:40:33.0162664Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:40:33.0164171Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_max_autotune.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 21:40:32.735790] 2024-08-20T21:40:35.8687227Z 2024-08-20T21:40:35.8689238Z inductor/test_max_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_max_autotune_1.1_bee2f16e0bb4356e_.log 2024-08-20T21:40:35.8690703Z 2024-08-20T21:40:35.8691461Z Running inductor/test_distributed_patterns 1/1 ... [2024-08-20 21:40:35.868863] 2024-08-20T21:40:35.8692114Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:40:35.8695480Z Executing ['/opt/conda/envs/py_3.12/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 21:40:35.869237] 2024-08-20T21:41:14.5394618Z 2024-08-20T21:41:14.5396417Z 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_2a405b75761653c8_.log 2024-08-20T21:41:14.5408852Z Running 19 items in this shard: test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_fake_distributed_aot_eager, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_fake_distributed_inductor, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_intermediate_hook_with_closure, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_module_backward_hooks_aot, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_module_backward_hooks_eager, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_module_backward_hooks_inductor, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_module_backward_hooks_multi_layers, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_nn_param_return1, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_nn_param_return2, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_nn_param_return3, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_nn_param_return4, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_storage_resize_nonzero_cpu, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_storage_resize_nonzero_gpu, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_storage_resize_zero_cpu, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_storage_resize_zero_gpu, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_unsafe_preserve_version_counter1, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_unsafe_preserve_version_counter2, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_unsafe_set_version_counter1, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_unsafe_set_version_counter2 2024-08-20T21:41:14.5420661Z 2024-08-20T21:41:14.5421099Z Running test_utils 1/1 ... [2024-08-20 21:41:14.539824] 2024-08-20T21:41:14.5421664Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:41:14.5423441Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_utils.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 21:41:14.540167] 2024-08-20T21:43:22.3493117Z 2024-08-20T21:43:22.3494777Z PRINTING LOG FILE of test_utils 1/1 (test/test-reports/test_utils_1.1_3b81c88ea6b5427a_.log) 2024-08-20T21:43:22.3499763Z Test results will be stored in test-reports/python-pytest/test_utils/test_utils-a10e3c1dbfd586d3.xml 2024-08-20T21:43:22.3502481Z ============================= test session starts ============================== 2024-08-20T21:43:22.3504130Z platform linux -- Python 3.12.4, pytest-7.3.2, pluggy-1.5.0 -- /opt/conda/envs/py_3.12/bin/python 2024-08-20T21:43:22.3505215Z cachedir: .pytest_cache 2024-08-20T21:43:22.3506728Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2024-08-20T21:43:22.3508295Z rootdir: /var/lib/jenkins/workspace 2024-08-20T21:43:22.3508879Z configfile: pytest.ini 2024-08-20T21:43:22.3510314Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, xdist-3.3.1, xdoctest-1.1.0, typeguard-4.3.0 2024-08-20T21:43:22.3511817Z collecting ... collected 5947 items 2024-08-20T21:43:22.3512657Z stepcurrent: Cannot find last run test, not skipping 2024-08-20T21:43:22.6584070Z Running 5947 items in this shard: test/test_utils.py::TestCheckpoint::test_checkpoint, test/test_utils.py::TestCheckpoint::test_checkpoint_module_list, test/test_utils.py::TestCheckpoint::test_checkpoint_no_tensors, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor_inputs_outputs, test/test_utils.py::TestCheckpoint::test_checkpoint_not_preserve_rng_state_and_without_reentrant, test/test_utils.py::TestCheckpoint::test_checkpoint_partial_grad, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cpu, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cuda, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_multiple_args, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_no_args, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_valid, test/test_utils.py::TestCheckpoint::test_checkpointing_without_reentrant_early_free, test/test_utils.py::TestCheckpoint::test_get_device_states_recursive, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_meta, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_multi_cuda, test/test_utils.py::TestDataLoaderUtils::test_multi_drop, test/test_utils.py::TestDataLoaderUtils::test_multi_keep, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_single_drop, test/test_utils.py::TestDataLoaderUtils::test_single_keep, test/test_utils.py::TestBottleneck::test_bottleneck_cpu_only, test/test_utils.py::TestBottleneck::test_bottleneck_cuda, test/test_utils.py::TestCollectEnv::test_smoke, test/test_utils.py::TestONNXUtils::test_check_onnx_broadcast, test/test_utils.py::TestONNXUtils::test_prepare_onnx_paddings, test/test_utils.py::TestHipify::test_import_hipify, test/test_utils.py::TestHipifyTrie::test_add_and_search_trie, test/test_utils.py::TestHipifyTrie::test_add_multiple_and_search_trie, test/test_utils.py::TestHipifyTrie::test_char_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_prefix_words_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_quote_escape, test/test_utils.py::TestHipifyTrie::test_single_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_special_char_export_trie_to_regex, test/test_utils.py::TestAssert::test_assert_scriptable, test/test_utils.py::TestAssert::test_assert_true, test/test_utils.py::TestStandaloneCPPJIT::test_load_standalone, test/test_utils.py::TestExtensionUtils::test_external_module_register, test/test_utils.py::TestExtensionUtils::test_external_module_register_with_renamed_backend, test/test_utils.py::TestRenderUtils::test_basic, test/test_utils.py::TestDeviceUtilsCPU::test_basic_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_generator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bernoulli_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bernoulli_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bernoulli_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bernoulli_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_shapes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_singular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_singular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_singular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_singular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_one_hot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_more_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_nn_module_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_set_default_device_cpu, test/test_utils.py::TestCppExtensionUtils::test_cc_compiler_is_ok, test/test_utils.py::TestCppExtensionUtils::test_cpp_compiler_is_ok, test/test_utils.py::TestTraceback::test_basic, test/test_utils.py::TestTraceback::test_captured_traceback, test/test_utils.py::TestTraceback::test_captured_traceback_format_all, test/test_utils.py::TestTraceback::test_captured_traceback_format_all_cached, test/test_utils.py::TestTraceback::test_format_traceback_short 2024-08-20T21:43:22.9718835Z 2024-08-20T21:43:22.9723154Z test_utils.py::TestCheckpoint::test_checkpoint PASSED [0.0150s] [ 0%] 2024-08-20T21:43:22.9724309Z test_utils.py::TestCheckpoint::test_checkpoint_module_list PASSED [0.0098s] [ 0%] 2024-08-20T21:43:22.9725439Z test_utils.py::TestCheckpoint::test_checkpoint_no_tensors PASSED [0.0021s] [ 0%] 2024-08-20T21:43:22.9726752Z test_utils.py::TestCheckpoint::test_checkpoint_non_tensor PASSED [0.0015s] [ 0%] 2024-08-20T21:43:22.9727954Z test_utils.py::TestCheckpoint::test_checkpoint_non_tensor_inputs_outputs PASSED [0.0037s] [ 0%] 2024-08-20T21:43:22.9729386Z test_utils.py::TestCheckpoint::test_checkpoint_not_preserve_rng_state_and_without_reentrant SKIPPED [0.0002s] (No CUDA) [ 0%] 2024-08-20T21:43:22.9730713Z test_utils.py::TestCheckpoint::test_checkpoint_partial_grad PASSED [0.0018s] [ 0%] 2024-08-20T21:43:22.9731811Z test_utils.py::TestCheckpoint::test_checkpoint_rng_cpu PASSED [0.0080s] [ 0%] 2024-08-20T21:43:22.9732950Z test_utils.py::TestCheckpoint::test_checkpoint_rng_cuda SKIPPED [0.0002s] (No CUDA) [ 0%] 2024-08-20T21:43:22.9734495Z test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_multiple_args PASSED [0.0013s] [ 0%] 2024-08-20T21:43:22.9735833Z test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_no_args PASSED [0.0012s] [ 0%] 2024-08-20T21:43:22.9737018Z test_utils.py::TestCheckpoint::test_checkpoint_trigger PASSED [0.0041s] [ 0%] 2024-08-20T21:43:22.9738084Z test_utils.py::TestCheckpoint::test_checkpoint_valid PASSED [0.0033s] [ 0%] 2024-08-20T21:43:22.9739431Z test_utils.py::TestCheckpoint::test_checkpointing_without_reentrant_early_free SKIPPED [0.0001s] (Test requires CUDA) [ 0%] 2024-08-20T21:43:22.9741088Z test_utils.py::TestCheckpoint::test_get_device_states_recursive SKIPPED [0.0001s] (multi-GPU not supported) [ 0%] 2024-08-20T21:43:22.9742557Z test_utils.py::TestCheckpoint::test_infer_device_state_recursive_meta PASSED [0.0013s] [ 0%] 2024-08-20T21:43:22.9743980Z test_utils.py::TestCheckpoint::test_infer_device_state_recursive_multi_cuda SKIPPED [0.0002s] (multi-GPU not supported) [ 0%] 2024-08-20T21:43:22.9745297Z test_utils.py::TestDataLoaderUtils::test_multi_drop PASSED [0.0666s] [ 0%] 2024-08-20T21:43:22.9746858Z test_utils.py::TestDataLoaderUtils::test_multi_keep SKIPPED [0.0003s] (FIXME: Intermittent CUDA out-of-memory error on Windows and time-out under ASAN) [ 0%] 2024-08-20T21:43:22.9748359Z test_utils.py::TestDataLoaderUtils::test_random_seed PASSED [0.1647s] [ 0%] 2024-08-20T21:43:22.9749442Z test_utils.py::TestDataLoaderUtils::test_single_drop PASSED [0.0022s] [ 0%] 2024-08-20T21:43:22.9750516Z test_utils.py::TestDataLoaderUtils::test_single_keep PASSED [0.0015s] [ 0%] 2024-08-20T21:43:22.9751576Z test_utils.py::TestBottleneck::test_bottleneck_cpu_only PASSED [6.9986s] [ 0%] 2024-08-20T21:43:22.9752702Z test_utils.py::TestBottleneck::test_bottleneck_cuda SKIPPED [0.0002s] (No CUDA) [ 0%] 2024-08-20T21:43:22.9753821Z test_utils.py::TestCollectEnv::test_smoke PASSED [0.6952s] [ 0%] 2024-08-20T21:43:22.9754965Z test_utils.py::TestONNXUtils::test_check_onnx_broadcast PASSED [0.0015s] [ 0%] 2024-08-20T21:43:22.9756055Z test_utils.py::TestONNXUtils::test_prepare_onnx_paddings PASSED [0.0013s] [ 0%] 2024-08-20T21:43:22.9757150Z test_utils.py::TestHipify::test_import_hipify PASSED [0.0011s] [ 0%] 2024-08-20T21:43:22.9758212Z test_utils.py::TestHipifyTrie::test_add_and_search_trie PASSED [0.0002s] [ 0%] 2024-08-20T21:43:22.9759324Z test_utils.py::TestHipifyTrie::test_add_multiple_and_search_trie PASSED [0.0002s] [ 0%] 2024-08-20T21:43:22.9760484Z test_utils.py::TestHipifyTrie::test_char_export_trie_to_regex PASSED [0.0003s] [ 0%] 2024-08-20T21:43:22.9761596Z test_utils.py::TestHipifyTrie::test_export_trie_to_regex PASSED [0.0014s] [ 0%] 2024-08-20T21:43:22.9762744Z test_utils.py::TestHipifyTrie::test_prefix_words_export_trie_to_regex PASSED [0.0002s] [ 0%] 2024-08-20T21:43:22.9763871Z test_utils.py::TestHipifyTrie::test_quote_escape PASSED [0.0004s] [ 0%] 2024-08-20T21:43:22.9764996Z test_utils.py::TestHipifyTrie::test_single_export_trie_to_regex PASSED [0.0003s] [ 0%] 2024-08-20T21:43:22.9766190Z test_utils.py::TestHipifyTrie::test_special_char_export_trie_to_regex PASSED [0.0002s] [ 0%] 2024-08-20T21:43:22.9767312Z test_utils.py::TestAssert::test_assert_scriptable PASSED [0.0508s] [ 0%] 2024-08-20T21:43:22.9768365Z test_utils.py::TestAssert::test_assert_true PASSED [0.0013s] [ 0%] 2024-08-20T21:43:22.9769456Z test_utils.py::TestStandaloneCPPJIT::test_load_standalone PASSED [1.5717s] [ 0%] 2024-08-20T21:43:22.9770672Z test_utils.py::TestExtensionUtils::test_external_module_register PASSED [0.0016s] [ 0%] 2024-08-20T21:43:22.9771963Z test_utils.py::TestExtensionUtils::test_external_module_register_with_renamed_backend PASSED [0.0017s] [ 0%] 2024-08-20T21:43:22.9773190Z test_utils.py::TestRenderUtils::test_basic PASSED [0.0096s] [ 0%] 2024-08-20T21:43:22.9774253Z test_utils.py::TestDeviceUtilsCPU::test_basic_cpu PASSED [0.0020s] [ 0%] 2024-08-20T21:43:22.9775323Z test_utils.py::TestDeviceUtilsCPU::test_decorator_cpu PASSED [0.0012s] [ 0%] 2024-08-20T21:43:22.9776458Z test_utils.py::TestDeviceUtilsCPU::test_decorator_generator_cpu PASSED [0.0013s] [ 0%] 2024-08-20T21:43:22.9777742Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bfloat16 PASSED [0.0474s] [ 0%] 2024-08-20T21:43:22.9778971Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bool PASSED [0.0058s] [ 0%] 2024-08-20T21:43:22.9780190Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex128 PASSED [0.0059s] [ 0%] 2024-08-20T21:43:22.9781570Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex32 PASSED [0.0058s] [ 0%] 2024-08-20T21:43:22.9782827Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex64 PASSED [0.0058s] [ 0%] 2024-08-20T21:43:22.9784049Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float16 PASSED [0.0056s] [ 0%] 2024-08-20T21:43:22.9785285Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float32 PASSED [0.0055s] [ 0%] 2024-08-20T21:43:22.9786518Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float64 PASSED [0.0057s] [ 0%] 2024-08-20T21:43:22.9787733Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int16 PASSED [0.0056s] [ 0%] 2024-08-20T21:43:22.9789224Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int32 PASSED [0.0057s] [ 0%] 2024-08-20T21:43:22.9790443Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int64 PASSED [0.0056s] [ 0%] 2024-08-20T21:43:22.9791739Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int8 PASSED [0.0058s] [ 0%] 2024-08-20T21:43:22.9792936Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_uint8 PASSED [0.0055s] [ 0%] 2024-08-20T21:43:22.9794142Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bfloat16 PASSED [0.0058s] [ 0%] 2024-08-20T21:43:22.9795357Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bool PASSED [0.0056s] [ 1%] 2024-08-20T21:43:22.9796599Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex128 PASSED [0.0057s] [ 1%] 2024-08-20T21:43:22.9797857Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex32 PASSED [0.0056s] [ 1%] 2024-08-20T21:43:22.9799105Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex64 PASSED [0.0056s] [ 1%] 2024-08-20T21:43:22.9800354Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float16 PASSED [0.0065s] [ 1%] 2024-08-20T21:43:22.9801583Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float32 PASSED [0.0056s] [ 1%] 2024-08-20T21:43:22.9802798Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float64 PASSED [0.0058s] [ 1%] 2024-08-20T21:43:22.9804011Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int16 PASSED [0.0056s] [ 1%] 2024-08-20T21:43:22.9805222Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int32 PASSED [0.0058s] [ 1%] 2024-08-20T21:43:22.9806499Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int64 PASSED [0.0055s] [ 1%] 2024-08-20T21:43:22.9807687Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int8 PASSED [0.0058s] [ 1%] 2024-08-20T21:43:22.9808891Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_uint8 PASSED [0.0056s] [ 1%] 2024-08-20T21:43:22.9810177Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bfloat16 PASSED [0.0133s] [ 1%] 2024-08-20T21:43:22.9811483Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bool PASSED [0.0129s] [ 1%] 2024-08-20T21:43:22.9812819Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex128 PASSED [0.0132s] [ 1%] 2024-08-20T21:43:22.9814255Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex32 PASSED [0.0132s] [ 1%] 2024-08-20T21:43:22.9815621Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex64 PASSED [0.0131s] [ 1%] 2024-08-20T21:43:22.9816943Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float16 PASSED [0.0132s] [ 1%] 2024-08-20T21:43:22.9818386Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float32 PASSED [0.0129s] [ 1%] 2024-08-20T21:43:22.9819966Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float64 PASSED [0.0131s] [ 1%] 2024-08-20T21:43:22.9864776Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int16 PASSED [0.0128s] [ 1%] 2024-08-20T21:43:22.9866412Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int32 PASSED [0.0130s] [ 1%] 2024-08-20T21:43:22.9867729Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int64 PASSED [0.0128s] [ 1%] 2024-08-20T21:43:22.9869047Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int8 PASSED [0.0128s] [ 1%] 2024-08-20T21:43:22.9870340Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_uint8 PASSED [0.0131s] [ 1%] 2024-08-20T21:43:22.9871829Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bfloat16 PASSED [0.0095s] [ 1%] 2024-08-20T21:43:22.9873104Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bool PASSED [0.0099s] [ 1%] 2024-08-20T21:43:22.9874409Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex128 PASSED [0.0096s] [ 1%] 2024-08-20T21:43:22.9875732Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex64 PASSED [0.0098s] [ 1%] 2024-08-20T21:43:22.9877022Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float16 PASSED [0.0095s] [ 1%] 2024-08-20T21:43:22.9878307Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float32 PASSED [0.0096s] [ 1%] 2024-08-20T21:43:22.9879579Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float64 PASSED [0.0096s] [ 1%] 2024-08-20T21:43:22.9880848Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int16 PASSED [0.0095s] [ 1%] 2024-08-20T21:43:22.9882097Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int32 PASSED [0.0096s] [ 1%] 2024-08-20T21:43:22.9883360Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int64 PASSED [0.0095s] [ 1%] 2024-08-20T21:43:22.9884619Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int8 PASSED [0.0096s] [ 1%] 2024-08-20T21:43:22.9885869Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_uint8 PASSED [0.0094s] [ 1%] 2024-08-20T21:43:22.9887194Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_bool PASSED [0.0096s] [ 1%] 2024-08-20T21:43:22.9888785Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int16 PASSED [0.0094s] [ 1%] 2024-08-20T21:43:22.9890068Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int32 PASSED [0.0096s] [ 1%] 2024-08-20T21:43:22.9891323Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int64 PASSED [0.0094s] [ 1%] 2024-08-20T21:43:22.9892592Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int8 PASSED [0.0096s] [ 1%] 2024-08-20T21:43:22.9893855Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_uint8 PASSED [0.0095s] [ 1%] 2024-08-20T21:43:22.9895255Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_bfloat16 PASSED [0.0112s] [ 1%] 2024-08-20T21:43:22.9896527Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_bool PASSED [0.0100s] [ 1%] 2024-08-20T21:43:22.9897829Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_complex128 PASSED [0.0100s] [ 1%] 2024-08-20T21:43:22.9899145Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_complex64 PASSED [0.0102s] [ 1%] 2024-08-20T21:43:22.9900437Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float16 PASSED [0.0099s] [ 1%] 2024-08-20T21:43:22.9901811Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float32 PASSED [0.0104s] [ 1%] 2024-08-20T21:43:22.9903099Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float64 PASSED [0.0098s] [ 1%] 2024-08-20T21:43:22.9904371Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int16 PASSED [0.0100s] [ 1%] 2024-08-20T21:43:22.9905627Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int32 PASSED [0.0099s] [ 1%] 2024-08-20T21:43:22.9906888Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int64 PASSED [0.0098s] [ 1%] 2024-08-20T21:43:22.9908197Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int8 PASSED [0.0100s] [ 1%] 2024-08-20T21:43:22.9909457Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_uint8 PASSED [0.0110s] [ 1%] 2024-08-20T21:43:22.9910747Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_bfloat16 PASSED [0.0129s] [ 1%] 2024-08-20T21:43:22.9912090Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex128 PASSED [0.0130s] [ 1%] 2024-08-20T21:43:22.9913447Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex64 PASSED [0.0131s] [ 1%] 2024-08-20T21:43:22.9914782Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float16 PASSED [0.0127s] [ 1%] 2024-08-20T21:43:22.9916081Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float32 PASSED [0.0127s] [ 2%] 2024-08-20T21:43:22.9917459Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float64 PASSED [0.0126s] [ 2%] 2024-08-20T21:43:22.9918827Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int16 PASSED [0.0127s] [ 2%] 2024-08-20T21:43:22.9920102Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int32 PASSED [0.0125s] [ 2%] 2024-08-20T21:43:22.9921399Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int64 PASSED [0.0125s] [ 2%] 2024-08-20T21:43:22.9922742Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int8 PASSED [0.0128s] [ 2%] 2024-08-20T21:43:22.9924033Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_uint8 PASSED [0.0126s] [ 2%] 2024-08-20T21:43:22.9925316Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_bfloat16 PASSED [0.0097s] [ 2%] 2024-08-20T21:43:22.9926875Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float16 PASSED [0.0094s] [ 2%] 2024-08-20T21:43:22.9928228Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float32 PASSED [0.0096s] [ 2%] 2024-08-20T21:43:22.9929501Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float64 PASSED [0.0095s] [ 2%] 2024-08-20T21:43:22.9930888Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_bfloat16 PASSED [0.0099s] [ 2%] 2024-08-20T21:43:22.9932183Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_bool PASSED [0.0094s] [ 2%] 2024-08-20T21:43:22.9933483Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_complex128 PASSED [0.0096s] [ 2%] 2024-08-20T21:43:22.9934786Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_complex64 PASSED [0.0098s] [ 2%] 2024-08-20T21:43:22.9936082Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float16 PASSED [0.0095s] [ 2%] 2024-08-20T21:43:22.9937369Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float32 PASSED [0.0097s] [ 2%] 2024-08-20T21:43:22.9938655Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float64 PASSED [0.0095s] [ 2%] 2024-08-20T21:43:22.9939909Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int16 PASSED [0.0097s] [ 2%] 2024-08-20T21:43:22.9941262Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int32 PASSED [0.0095s] [ 2%] 2024-08-20T21:43:22.9942536Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int64 PASSED [0.0097s] [ 2%] 2024-08-20T21:43:22.9943854Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int8 PASSED [0.0095s] [ 2%] 2024-08-20T21:43:22.9945104Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_uint8 PASSED [0.0097s] [ 2%] 2024-08-20T21:43:22.9946363Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_bool PASSED [0.0094s] [ 2%] 2024-08-20T21:43:22.9947612Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int16 PASSED [0.0095s] [ 2%] 2024-08-20T21:43:22.9948855Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int32 PASSED [0.0097s] [ 2%] 2024-08-20T21:43:22.9950096Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int64 PASSED [0.0095s] [ 2%] 2024-08-20T21:43:22.9951338Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int8 PASSED [0.0097s] [ 2%] 2024-08-20T21:43:22.9952582Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_uint8 PASSED [0.0094s] [ 2%] 2024-08-20T21:43:22.9953839Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_bfloat16 PASSED [0.0097s] [ 2%] 2024-08-20T21:43:22.9955144Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_complex128 PASSED [0.0096s] [ 2%] 2024-08-20T21:43:22.9956458Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_complex64 PASSED [0.0098s] [ 2%] 2024-08-20T21:43:22.9957763Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_float16 PASSED [0.0095s] [ 2%] 2024-08-20T21:43:22.9959086Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_float32 PASSED [0.0096s] [ 2%] 2024-08-20T21:43:22.9960407Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_float64 PASSED [0.0097s] [ 2%] 2024-08-20T21:43:22.9961681Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int16 PASSED [0.0095s] [ 2%] 2024-08-20T21:43:22.9962928Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int32 PASSED [0.0097s] [ 2%] 2024-08-20T21:43:22.9964183Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int64 PASSED [0.0095s] [ 2%] 2024-08-20T21:43:22.9965440Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int8 PASSED [0.0097s] [ 2%] 2024-08-20T21:43:22.9966762Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_uint8 PASSED [0.0095s] [ 2%] 2024-08-20T21:43:22.9968036Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_bfloat16 PASSED [0.0096s] [ 2%] 2024-08-20T21:43:22.9969348Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_complex128 PASSED [0.0096s] [ 2%] 2024-08-20T21:43:22.9970674Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_complex64 PASSED [0.0096s] [ 2%] 2024-08-20T21:43:22.9971968Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_float16 PASSED [0.0096s] [ 2%] 2024-08-20T21:43:22.9973233Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_float32 PASSED [0.0096s] [ 2%] 2024-08-20T21:43:22.9974523Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_float64 PASSED [0.0098s] [ 2%] 2024-08-20T21:43:22.9975801Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int16 PASSED [0.0096s] [ 2%] 2024-08-20T21:43:22.9977067Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int32 PASSED [0.0097s] [ 2%] 2024-08-20T21:43:22.9978317Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int64 PASSED [0.0095s] [ 2%] 2024-08-20T21:43:22.9979630Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int8 PASSED [0.0097s] [ 2%] 2024-08-20T21:43:22.9980891Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_uint8 PASSED [0.0095s] [ 2%] 2024-08-20T21:43:22.9982223Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_bool PASSED [0.0097s] [ 2%] 2024-08-20T21:43:22.9983492Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int16 PASSED [0.0095s] [ 2%] 2024-08-20T21:43:22.9984759Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int32 PASSED [0.0094s] [ 2%] 2024-08-20T21:43:22.9986021Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int64 PASSED [0.0100s] [ 2%] 2024-08-20T21:43:22.9987269Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int8 PASSED [0.0095s] [ 2%] 2024-08-20T21:43:22.9988805Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_uint8 PASSED [0.0097s] [ 2%] 2024-08-20T21:43:22.9990212Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_bfloat16 PASSED [0.0098s] [ 2%] 2024-08-20T21:43:22.9991683Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float16 PASSED [0.0099s] [ 2%] 2024-08-20T21:43:22.9993170Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float32 PASSED [0.0098s] [ 2%] 2024-08-20T21:43:22.9994624Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float64 PASSED [0.0100s] [ 3%] 2024-08-20T21:43:22.9996070Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_bfloat16 PASSED [0.0079s] [ 3%] 2024-08-20T21:43:22.9997365Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_bool PASSED [0.0078s] [ 3%] 2024-08-20T21:43:22.9998690Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex128 PASSED [0.0083s] [ 3%] 2024-08-20T21:43:23.0000042Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex32 PASSED [0.0080s] [ 3%] 2024-08-20T21:43:23.0001377Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex64 PASSED [0.0083s] [ 3%] 2024-08-20T21:43:23.0002757Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float16 PASSED [0.0080s] [ 3%] 2024-08-20T21:43:23.0004086Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float32 PASSED [0.0081s] [ 3%] 2024-08-20T21:43:23.0005403Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float64 PASSED [0.0079s] [ 3%] 2024-08-20T21:43:23.0006709Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int16 PASSED [0.0081s] [ 3%] 2024-08-20T21:43:23.0007992Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int32 PASSED [0.0079s] [ 3%] 2024-08-20T21:43:23.0009287Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int64 PASSED [0.0078s] [ 3%] 2024-08-20T21:43:23.0010568Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int8 PASSED [0.0081s] [ 3%] 2024-08-20T21:43:23.0011855Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_uint8 PASSED [0.0078s] [ 3%] 2024-08-20T21:43:23.0013239Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_bfloat16 PASSED [0.0105s] [ 3%] 2024-08-20T21:43:23.0014718Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float16 PASSED [0.0103s] [ 3%] 2024-08-20T21:43:23.0016237Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float32 PASSED [0.0107s] [ 3%] 2024-08-20T21:43:23.0017681Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float64 PASSED [0.0102s] [ 3%] 2024-08-20T21:43:23.0019141Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_bfloat16 PASSED [0.0527s] [ 3%] 2024-08-20T21:43:23.0020608Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float16 PASSED [0.0525s] [ 3%] 2024-08-20T21:43:23.0022141Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float32 PASSED [0.0524s] [ 3%] 2024-08-20T21:43:23.0023566Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float64 PASSED [0.0531s] [ 3%] 2024-08-20T21:43:23.0025025Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_bfloat16 PASSED [0.0561s] [ 3%] 2024-08-20T21:43:23.0026681Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float16 PASSED [0.0564s] [ 3%] 2024-08-20T21:43:23.0028135Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float32 PASSED [0.0557s] [ 3%] 2024-08-20T21:43:23.0029564Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float64 PASSED [0.0561s] [ 3%] 2024-08-20T21:43:23.0031012Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_bfloat16 PASSED [0.0066s] [ 3%] 2024-08-20T21:43:23.0032561Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float16 PASSED [0.0065s] [ 3%] 2024-08-20T21:43:23.0034002Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float32 PASSED [0.0065s] [ 3%] 2024-08-20T21:43:23.0035443Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float64 PASSED [0.0064s] [ 3%] 2024-08-20T21:43:23.0036888Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bfloat16 PASSED [0.0085s] [ 3%] 2024-08-20T21:43:23.0038300Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bool PASSED [0.0081s] [ 3%] 2024-08-20T21:43:23.0039819Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex128 PASSED [0.0085s] [ 3%] 2024-08-20T21:43:23.0041260Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex64 PASSED [0.0083s] [ 3%] 2024-08-20T21:43:23.0042689Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float16 PASSED [0.0084s] [ 3%] 2024-08-20T21:43:23.0044109Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float32 PASSED [0.0083s] [ 3%] 2024-08-20T21:43:23.0045536Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float64 PASSED [0.0082s] [ 3%] 2024-08-20T21:43:23.0046929Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int16 PASSED [0.0087s] [ 3%] 2024-08-20T21:43:23.0048334Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int32 PASSED [0.0082s] [ 3%] 2024-08-20T21:43:23.0049741Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int64 PASSED [0.0085s] [ 3%] 2024-08-20T21:43:23.0051120Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int8 PASSED [0.0083s] [ 3%] 2024-08-20T21:43:23.0052516Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_uint8 PASSED [0.0084s] [ 3%] 2024-08-20T21:43:23.0054082Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bfloat16 PASSED [0.0083s] [ 3%] 2024-08-20T21:43:23.0055653Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bool PASSED [0.0084s] [ 3%] 2024-08-20T21:43:23.0057226Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex128 PASSED [0.0084s] [ 3%] 2024-08-20T21:43:23.0058828Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex64 PASSED [0.0084s] [ 3%] 2024-08-20T21:43:23.0060420Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float16 PASSED [0.0084s] [ 3%] 2024-08-20T21:43:23.0062094Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float32 PASSED [0.0083s] [ 3%] 2024-08-20T21:43:23.0063662Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float64 PASSED [0.0085s] [ 3%] 2024-08-20T21:43:23.0065221Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int16 PASSED [0.0085s] [ 3%] 2024-08-20T21:43:23.0066777Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int32 PASSED [0.0085s] [ 3%] 2024-08-20T21:43:23.0068345Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int64 PASSED [0.0083s] [ 3%] 2024-08-20T21:43:23.0069918Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int8 PASSED [0.0083s] [ 3%] 2024-08-20T21:43:23.0071467Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_uint8 PASSED [0.0085s] [ 3%] 2024-08-20T21:43:23.0072981Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float32 PASSED [0.0080s] [ 3%] 2024-08-20T21:43:23.0074436Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float64 PASSED [0.0083s] [ 3%] 2024-08-20T21:43:23.0075868Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_uint8 PASSED [0.0079s] [ 3%] 2024-08-20T21:43:23.0077259Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_bfloat16 PASSED [0.0053s] [ 3%] 2024-08-20T21:43:23.0078544Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex128 PASSED [0.0052s] [ 3%] 2024-08-20T21:43:23.0079822Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex32 PASSED [0.0058s] [ 4%] 2024-08-20T21:43:23.0081079Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex64 PASSED [0.0052s] [ 4%] 2024-08-20T21:43:23.0082345Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float16 PASSED [0.0051s] [ 4%] 2024-08-20T21:43:23.0083588Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float32 PASSED [0.0052s] [ 4%] 2024-08-20T21:43:23.0084813Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float64 PASSED [0.0051s] [ 4%] 2024-08-20T21:43:23.0086047Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int16 PASSED [0.0054s] [ 4%] 2024-08-20T21:43:23.0087286Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int32 PASSED [0.0052s] [ 4%] 2024-08-20T21:43:23.0088747Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int64 PASSED [0.0055s] [ 4%] 2024-08-20T21:43:23.0090020Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int8 PASSED [0.0052s] [ 4%] 2024-08-20T21:43:23.0091243Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_uint8 PASSED [0.0055s] [ 4%] 2024-08-20T21:43:23.0092535Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bfloat16 PASSED [0.0063s] [ 4%] 2024-08-20T21:43:23.0093780Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bool PASSED [0.0064s] [ 4%] 2024-08-20T21:43:23.0095038Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex128 PASSED [0.0063s] [ 4%] 2024-08-20T21:43:23.0096326Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex64 PASSED [0.0062s] [ 4%] 2024-08-20T21:43:23.0097592Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float16 PASSED [0.0064s] [ 4%] 2024-08-20T21:43:23.0098827Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float32 PASSED [0.0062s] [ 4%] 2024-08-20T21:43:23.0100074Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float64 PASSED [0.0064s] [ 4%] 2024-08-20T21:43:23.0101394Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int16 PASSED [0.0062s] [ 4%] 2024-08-20T21:43:23.0102640Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int32 PASSED [0.0065s] [ 4%] 2024-08-20T21:43:23.0103859Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int64 PASSED [0.0061s] [ 4%] 2024-08-20T21:43:23.0105127Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int8 PASSED [0.0063s] [ 4%] 2024-08-20T21:43:23.0106353Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_uint8 PASSED [0.0061s] [ 4%] 2024-08-20T21:43:23.0107614Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bfloat16 PASSED [0.0067s] [ 4%] 2024-08-20T21:43:23.0108858Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bool PASSED [0.0061s] [ 4%] 2024-08-20T21:43:23.0110130Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex128 PASSED [0.0062s] [ 4%] 2024-08-20T21:43:23.0111430Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex64 PASSED [0.0064s] [ 4%] 2024-08-20T21:43:23.0112763Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float16 PASSED [0.0062s] [ 4%] 2024-08-20T21:43:23.0114027Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float32 PASSED [0.0063s] [ 4%] 2024-08-20T21:43:23.0115289Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float64 PASSED [0.0061s] [ 4%] 2024-08-20T21:43:23.0116556Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int16 PASSED [0.0064s] [ 4%] 2024-08-20T21:43:23.0117790Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int32 PASSED [0.0062s] [ 4%] 2024-08-20T21:43:23.0119065Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int64 PASSED [0.0063s] [ 4%] 2024-08-20T21:43:23.0120299Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int8 PASSED [0.0062s] [ 4%] 2024-08-20T21:43:23.0121539Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_uint8 PASSED [0.0063s] [ 4%] 2024-08-20T21:43:23.0122781Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bfloat16 PASSED [0.0107s] [ 4%] 2024-08-20T21:43:23.0124027Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bool PASSED [0.0106s] [ 4%] 2024-08-20T21:43:23.0125278Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex128 PASSED [0.0111s] [ 4%] 2024-08-20T21:43:23.0126792Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex32 PASSED [0.0107s] [ 4%] 2024-08-20T21:43:23.0128066Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex64 PASSED [0.0109s] [ 4%] 2024-08-20T21:43:23.0129334Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float16 PASSED [0.0105s] [ 4%] 2024-08-20T21:43:23.0130586Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float32 PASSED [0.0107s] [ 4%] 2024-08-20T21:43:23.0131815Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float64 PASSED [0.0105s] [ 4%] 2024-08-20T21:43:23.0133052Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int16 PASSED [0.0107s] [ 4%] 2024-08-20T21:43:23.0134278Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int32 PASSED [0.0105s] [ 4%] 2024-08-20T21:43:23.0135512Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int64 PASSED [0.0105s] [ 4%] 2024-08-20T21:43:23.0136712Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int8 PASSED [0.0107s] [ 4%] 2024-08-20T21:43:23.0137930Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_uint8 PASSED [0.0105s] [ 4%] 2024-08-20T21:43:23.0139189Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_bfloat16 PASSED [0.0081s] [ 4%] 2024-08-20T21:43:23.0140489Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex128 PASSED [0.0114s] [ 4%] 2024-08-20T21:43:23.0142041Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex64 PASSED [0.0115s] [ 4%] 2024-08-20T21:43:23.0143352Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float16 PASSED [0.0078s] [ 4%] 2024-08-20T21:43:23.0144641Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float32 PASSED [0.0080s] [ 4%] 2024-08-20T21:43:23.0145905Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float64 PASSED [0.0078s] [ 4%] 2024-08-20T21:43:23.0147176Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int16 PASSED [0.0078s] [ 4%] 2024-08-20T21:43:23.0148430Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int32 PASSED [0.0081s] [ 4%] 2024-08-20T21:43:23.0149776Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int64 PASSED [0.0078s] [ 4%] 2024-08-20T21:43:23.0151025Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int8 PASSED [0.0080s] [ 4%] 2024-08-20T21:43:23.0152283Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_uint8 PASSED [0.0079s] [ 4%] 2024-08-20T21:43:23.0153576Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_bfloat16 PASSED [0.0126s] [ 4%] 2024-08-20T21:43:23.0154881Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex128 PASSED [0.0124s] [ 4%] 2024-08-20T21:43:23.0156206Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex64 PASSED [0.0125s] [ 5%] 2024-08-20T21:43:23.0157512Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float16 PASSED [0.0123s] [ 5%] 2024-08-20T21:43:23.0158809Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float32 PASSED [0.0122s] [ 5%] 2024-08-20T21:43:23.0160084Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float64 PASSED [0.0123s] [ 5%] 2024-08-20T21:43:23.0161368Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_bfloat16 PASSED [0.0121s] [ 5%] 2024-08-20T21:43:23.0162736Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex128 PASSED [0.0130s] [ 5%] 2024-08-20T21:43:23.0164059Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex64 PASSED [0.0124s] [ 5%] 2024-08-20T21:43:23.0165354Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float16 PASSED [0.0124s] [ 5%] 2024-08-20T21:43:23.0166643Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float32 PASSED [0.0122s] [ 5%] 2024-08-20T21:43:23.0167950Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float64 PASSED [0.0122s] [ 5%] 2024-08-20T21:43:23.0169221Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int16 PASSED [0.0125s] [ 5%] 2024-08-20T21:43:23.0170482Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int32 PASSED [0.0122s] [ 5%] 2024-08-20T21:43:23.0171748Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int64 PASSED [0.0123s] [ 5%] 2024-08-20T21:43:23.0173008Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int8 PASSED [0.0123s] [ 5%] 2024-08-20T21:43:23.0174261Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_uint8 PASSED [0.0125s] [ 5%] 2024-08-20T21:43:23.0175544Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_bfloat16 PASSED [0.0080s] [ 5%] 2024-08-20T21:43:23.0176844Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex128 PASSED [0.0082s] [ 5%] 2024-08-20T21:43:23.0178176Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex64 PASSED [0.0084s] [ 5%] 2024-08-20T21:43:23.0179441Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float16 PASSED [0.0080s] [ 5%] 2024-08-20T21:43:23.0180701Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float32 PASSED [0.0082s] [ 5%] 2024-08-20T21:43:23.0182084Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float64 PASSED [0.0079s] [ 5%] 2024-08-20T21:43:23.0183326Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int16 PASSED [0.0072s] [ 5%] 2024-08-20T21:43:23.0184575Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int32 PASSED [0.0069s] [ 5%] 2024-08-20T21:43:23.0185893Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int64 PASSED [0.0071s] [ 5%] 2024-08-20T21:43:23.0187138Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int8 PASSED [0.0068s] [ 5%] 2024-08-20T21:43:23.0188629Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_uint8 PASSED [0.0070s] [ 5%] 2024-08-20T21:43:23.0189970Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_bfloat16 PASSED [0.0086s] [ 5%] 2024-08-20T21:43:23.0191391Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex128 PASSED [0.0082s] [ 5%] 2024-08-20T21:43:23.0192809Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex64 PASSED [0.0084s] [ 5%] 2024-08-20T21:43:23.0194198Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float16 PASSED [0.0080s] [ 5%] 2024-08-20T21:43:23.0195605Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float32 PASSED [0.0090s] [ 5%] 2024-08-20T21:43:23.0197000Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float64 PASSED [0.0081s] [ 5%] 2024-08-20T21:43:23.0198371Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int16 PASSED [0.0071s] [ 5%] 2024-08-20T21:43:23.0199790Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int32 PASSED [0.0068s] [ 5%] 2024-08-20T21:43:23.0201154Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int64 PASSED [0.0070s] [ 5%] 2024-08-20T21:43:23.0202513Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int8 PASSED [0.0068s] [ 5%] 2024-08-20T21:43:23.0203870Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_uint8 PASSED [0.0068s] [ 5%] 2024-08-20T21:43:23.0205197Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_bfloat16 PASSED [0.0080s] [ 5%] 2024-08-20T21:43:23.0206488Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex128 PASSED [0.0080s] [ 5%] 2024-08-20T21:43:23.0207788Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex64 PASSED [0.0082s] [ 5%] 2024-08-20T21:43:23.0209047Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float16 PASSED [0.0078s] [ 5%] 2024-08-20T21:43:23.0210318Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float32 PASSED [0.0081s] [ 5%] 2024-08-20T21:43:23.0211576Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float64 PASSED [0.0079s] [ 5%] 2024-08-20T21:43:23.0212837Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int16 PASSED [0.0080s] [ 5%] 2024-08-20T21:43:23.0214103Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int32 PASSED [0.0079s] [ 5%] 2024-08-20T21:43:23.0215350Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int64 PASSED [0.0078s] [ 5%] 2024-08-20T21:43:23.0216584Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int8 PASSED [0.0081s] [ 5%] 2024-08-20T21:43:23.0217806Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_uint8 PASSED [0.0078s] [ 5%] 2024-08-20T21:43:23.0219062Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bfloat16 PASSED [0.0084s] [ 5%] 2024-08-20T21:43:23.0220300Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bool PASSED [0.0067s] [ 5%] 2024-08-20T21:43:23.0221749Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex128 PASSED [0.0070s] [ 5%] 2024-08-20T21:43:23.0223031Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex64 PASSED [0.0068s] [ 5%] 2024-08-20T21:43:23.0224303Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float16 PASSED [0.0079s] [ 5%] 2024-08-20T21:43:23.0225557Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float32 PASSED [0.0079s] [ 5%] 2024-08-20T21:43:23.0227067Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float64 PASSED [0.0078s] [ 5%] 2024-08-20T21:43:23.0228306Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int16 PASSED [0.0069s] [ 5%] 2024-08-20T21:43:23.0229543Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int32 PASSED [0.0067s] [ 5%] 2024-08-20T21:43:23.0230772Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int64 PASSED [0.0069s] [ 5%] 2024-08-20T21:43:23.0231987Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int8 PASSED [0.0068s] [ 5%] 2024-08-20T21:43:23.0233229Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_uint8 PASSED [0.0070s] [ 6%] 2024-08-20T21:43:23.0234519Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bfloat16 PASSED [0.0056s] [ 6%] 2024-08-20T21:43:23.0235911Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bool PASSED [0.0058s] [ 6%] 2024-08-20T21:43:23.0237217Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex128 PASSED [0.0056s] [ 6%] 2024-08-20T21:43:23.0238569Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex32 PASSED [0.0058s] [ 6%] 2024-08-20T21:43:23.0239916Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex64 PASSED [0.0057s] [ 6%] 2024-08-20T21:43:23.0241249Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float16 PASSED [0.0056s] [ 6%] 2024-08-20T21:43:23.0242570Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float32 PASSED [0.0057s] [ 6%] 2024-08-20T21:43:23.0243887Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float64 PASSED [0.0056s] [ 6%] 2024-08-20T21:43:23.0245191Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int16 PASSED [0.0058s] [ 6%] 2024-08-20T21:43:23.0246477Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int32 PASSED [0.0056s] [ 6%] 2024-08-20T21:43:23.0247773Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int64 PASSED [0.0062s] [ 6%] 2024-08-20T21:43:23.0249078Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int8 PASSED [0.0056s] [ 6%] 2024-08-20T21:43:23.0250420Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_uint8 PASSED [0.0058s] [ 6%] 2024-08-20T21:43:23.0251672Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bfloat16 PASSED [0.0144s] [ 6%] 2024-08-20T21:43:23.0252944Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bool PASSED [0.0146s] [ 6%] 2024-08-20T21:43:23.0254202Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex128 PASSED [0.0144s] [ 6%] 2024-08-20T21:43:23.0255477Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex64 PASSED [0.0144s] [ 6%] 2024-08-20T21:43:23.0256718Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float16 PASSED [0.0145s] [ 6%] 2024-08-20T21:43:23.0258049Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float32 PASSED [0.0145s] [ 6%] 2024-08-20T21:43:23.0259288Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float64 PASSED [0.0149s] [ 6%] 2024-08-20T21:43:23.0260497Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int16 PASSED [0.0144s] [ 6%] 2024-08-20T21:43:23.0261812Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int32 PASSED [0.0148s] [ 6%] 2024-08-20T21:43:23.0263035Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int64 PASSED [0.0145s] [ 6%] 2024-08-20T21:43:23.0264251Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int8 PASSED [0.0146s] [ 6%] 2024-08-20T21:43:23.0265453Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_uint8 PASSED [0.0144s] [ 6%] 2024-08-20T21:43:23.0266730Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_bfloat16 PASSED [0.0176s] [ 6%] 2024-08-20T21:43:23.0268063Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex128 PASSED [0.0182s] [ 6%] 2024-08-20T21:43:23.0269384Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex64 PASSED [0.0178s] [ 6%] 2024-08-20T21:43:23.0270694Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float16 PASSED [0.0182s] [ 6%] 2024-08-20T21:43:23.0272033Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float32 PASSED [0.0174s] [ 6%] 2024-08-20T21:43:23.0273332Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float64 PASSED [0.0177s] [ 6%] 2024-08-20T21:43:23.0274589Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bfloat16 PASSED [0.0144s] [ 6%] 2024-08-20T21:43:23.0275825Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bool PASSED [0.0150s] [ 6%] 2024-08-20T21:43:23.0277080Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float16 PASSED [0.0145s] [ 6%] 2024-08-20T21:43:23.0278339Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float32 PASSED [0.0144s] [ 6%] 2024-08-20T21:43:23.0279577Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float64 PASSED [0.0146s] [ 6%] 2024-08-20T21:43:23.0280825Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int16 PASSED [0.0144s] [ 6%] 2024-08-20T21:43:23.0282063Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int32 PASSED [0.0147s] [ 6%] 2024-08-20T21:43:23.0283290Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int64 PASSED [0.0144s] [ 6%] 2024-08-20T21:43:23.0284517Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int8 PASSED [0.0146s] [ 6%] 2024-08-20T21:43:23.0285755Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_uint8 PASSED [0.0144s] [ 6%] 2024-08-20T21:43:23.0287041Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bfloat16 PASSED [0.0146s] [ 6%] 2024-08-20T21:43:23.0288520Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bool PASSED [0.0143s] [ 6%] 2024-08-20T21:43:23.0289780Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float16 PASSED [0.0144s] [ 6%] 2024-08-20T21:43:23.0291023Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float32 PASSED [0.0145s] [ 6%] 2024-08-20T21:43:23.0292278Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float64 PASSED [0.0145s] [ 6%] 2024-08-20T21:43:23.0293508Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int16 PASSED [0.0146s] [ 6%] 2024-08-20T21:43:23.0294811Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int32 PASSED [0.0144s] [ 6%] 2024-08-20T21:43:23.0296052Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int64 PASSED [0.0148s] [ 6%] 2024-08-20T21:43:23.0297261Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int8 PASSED [0.0144s] [ 6%] 2024-08-20T21:43:23.0298494Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_uint8 PASSED [0.0146s] [ 6%] 2024-08-20T21:43:23.0299767Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bfloat16 PASSED [0.0083s] [ 6%] 2024-08-20T21:43:23.0301137Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bool PASSED [0.0082s] [ 6%] 2024-08-20T21:43:23.0302415Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float16 PASSED [0.0088s] [ 6%] 2024-08-20T21:43:23.0303710Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float32 PASSED [0.0083s] [ 6%] 2024-08-20T21:43:23.0304998Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float64 PASSED [0.0085s] [ 6%] 2024-08-20T21:43:23.0306274Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int16 PASSED [0.0083s] [ 6%] 2024-08-20T21:43:23.0307567Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int32 PASSED [0.0084s] [ 6%] 2024-08-20T21:43:23.0308838Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int64 PASSED [0.0082s] [ 6%] 2024-08-20T21:43:23.0310097Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int8 PASSED [0.0082s] [ 7%] 2024-08-20T21:43:23.0311346Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_uint8 PASSED [0.0085s] [ 7%] 2024-08-20T21:43:23.0312628Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bfloat16 PASSED [0.0051s] [ 7%] 2024-08-20T21:43:23.0313889Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bool PASSED [0.0052s] [ 7%] 2024-08-20T21:43:23.0315158Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex128 PASSED [0.0051s] [ 7%] 2024-08-20T21:43:23.0316437Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex64 PASSED [0.0053s] [ 7%] 2024-08-20T21:43:23.0317716Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float16 PASSED [0.0050s] [ 7%] 2024-08-20T21:43:23.0318972Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float32 PASSED [0.0052s] [ 7%] 2024-08-20T21:43:23.0320235Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float64 PASSED [0.0051s] [ 7%] 2024-08-20T21:43:23.0321483Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int16 PASSED [0.0051s] [ 7%] 2024-08-20T21:43:23.0322775Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int32 PASSED [0.0052s] [ 7%] 2024-08-20T21:43:23.0324014Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int64 PASSED [0.0051s] [ 7%] 2024-08-20T21:43:23.0325238Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int8 PASSED [0.0052s] [ 7%] 2024-08-20T21:43:23.0326732Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_uint8 PASSED [0.0050s] [ 7%] 2024-08-20T21:43:23.0327987Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bfloat16 PASSED [0.0147s] [ 7%] 2024-08-20T21:43:23.0329232Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bool PASSED [0.0144s] [ 7%] 2024-08-20T21:43:23.0330577Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex128 PASSED [0.0151s] [ 7%] 2024-08-20T21:43:23.0331855Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex64 PASSED [0.0146s] [ 7%] 2024-08-20T21:43:23.0333107Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float16 PASSED [0.0147s] [ 7%] 2024-08-20T21:43:23.0334358Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float32 PASSED [0.0145s] [ 7%] 2024-08-20T21:43:23.0335588Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float64 PASSED [0.0144s] [ 7%] 2024-08-20T21:43:23.0336820Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int16 PASSED [0.0146s] [ 7%] 2024-08-20T21:43:23.0338043Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int32 PASSED [0.0144s] [ 7%] 2024-08-20T21:43:23.0339260Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int64 PASSED [0.0148s] [ 7%] 2024-08-20T21:43:23.0340469Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int8 PASSED [0.0145s] [ 7%] 2024-08-20T21:43:23.0341771Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_uint8 PASSED [0.0148s] [ 7%] 2024-08-20T21:43:23.0343041Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_bfloat16 PASSED [0.0270s] [ 7%] 2024-08-20T21:43:23.0344379Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float16 PASSED [0.0263s] [ 7%] 2024-08-20T21:43:23.0345660Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float32 PASSED [0.0262s] [ 7%] 2024-08-20T21:43:23.0346938Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float64 PASSED [0.0262s] [ 7%] 2024-08-20T21:43:23.0348211Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int16 PASSED [0.0206s] [ 7%] 2024-08-20T21:43:23.0349459Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int32 PASSED [0.0205s] [ 7%] 2024-08-20T21:43:23.0350763Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int64 PASSED [0.0208s] [ 7%] 2024-08-20T21:43:23.0352009Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int8 PASSED [0.0198s] [ 7%] 2024-08-20T21:43:23.0353249Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_uint8 PASSED [0.0204s] [ 7%] 2024-08-20T21:43:23.0354523Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_bfloat16 PASSED [0.0111s] [ 7%] 2024-08-20T21:43:23.0355805Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float16 PASSED [0.0113s] [ 7%] 2024-08-20T21:43:23.0357079Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float32 PASSED [0.0111s] [ 7%] 2024-08-20T21:43:23.0358349Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float64 PASSED [0.0113s] [ 7%] 2024-08-20T21:43:23.0359673Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int16 PASSED [0.0111s] [ 7%] 2024-08-20T21:43:23.0360925Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int32 PASSED [0.0110s] [ 7%] 2024-08-20T21:43:23.0362226Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int64 PASSED [0.0112s] [ 7%] 2024-08-20T21:43:23.0363461Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int8 PASSED [0.0110s] [ 7%] 2024-08-20T21:43:23.0364717Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_uint8 PASSED [0.0113s] [ 7%] 2024-08-20T21:43:23.0365995Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_bfloat16 PASSED [0.0112s] [ 7%] 2024-08-20T21:43:23.0367330Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float16 PASSED [0.0113s] [ 7%] 2024-08-20T21:43:23.0368612Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float32 PASSED [0.0110s] [ 7%] 2024-08-20T21:43:23.0369894Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float64 PASSED [0.0112s] [ 7%] 2024-08-20T21:43:23.0371158Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int16 PASSED [0.0110s] [ 7%] 2024-08-20T21:43:23.0372400Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int32 PASSED [0.0112s] [ 7%] 2024-08-20T21:43:23.0373659Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int64 PASSED [0.0110s] [ 7%] 2024-08-20T21:43:23.0374904Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int8 PASSED [0.0110s] [ 7%] 2024-08-20T21:43:23.0376143Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_uint8 PASSED [0.0111s] [ 7%] 2024-08-20T21:43:23.0377431Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_bfloat16 PASSED [0.0355s] [ 7%] 2024-08-20T21:43:23.0378709Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_bool PASSED [0.0351s] [ 7%] 2024-08-20T21:43:23.0380032Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float16 PASSED [0.0345s] [ 7%] 2024-08-20T21:43:23.0381405Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float32 PASSED [0.0354s] [ 7%] 2024-08-20T21:43:23.0382704Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float64 PASSED [0.0349s] [ 7%] 2024-08-20T21:43:23.0383983Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int16 PASSED [0.0352s] [ 7%] 2024-08-20T21:43:23.0385250Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int32 PASSED [0.0352s] [ 8%] 2024-08-20T21:43:23.0386510Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int64 PASSED [0.0344s] [ 8%] 2024-08-20T21:43:23.0387778Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int8 PASSED [0.0347s] [ 8%] 2024-08-20T21:43:23.0389259Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_uint8 PASSED [0.0350s] [ 8%] 2024-08-20T21:43:23.0390568Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_bfloat16 PASSED [0.0081s] [ 8%] 2024-08-20T21:43:23.0391844Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_bool PASSED [0.0078s] [ 8%] 2024-08-20T21:43:23.0393158Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_complex128 PASSED [0.0080s] [ 8%] 2024-08-20T21:43:23.0394497Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_complex64 PASSED [0.0078s] [ 8%] 2024-08-20T21:43:23.0395868Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float16 PASSED [0.0080s] [ 8%] 2024-08-20T21:43:23.0397166Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float32 PASSED [0.0077s] [ 8%] 2024-08-20T21:43:23.0398478Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float64 PASSED [0.0079s] [ 8%] 2024-08-20T21:43:23.0399772Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int16 PASSED [0.0077s] [ 8%] 2024-08-20T21:43:23.0401041Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int32 PASSED [0.0079s] [ 8%] 2024-08-20T21:43:23.0402316Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int64 PASSED [0.0077s] [ 8%] 2024-08-20T21:43:23.0403667Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int8 PASSED [0.0077s] [ 8%] 2024-08-20T21:43:23.0404950Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_uint8 PASSED [0.0078s] [ 8%] 2024-08-20T21:43:23.0406272Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_bfloat16 PASSED [0.0072s] [ 8%] 2024-08-20T21:43:23.0407626Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_bool PASSED [0.0073s] [ 8%] 2024-08-20T21:43:23.0409006Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex128 PASSED [0.0072s] [ 8%] 2024-08-20T21:43:23.0410395Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex32 PASSED [0.0078s] [ 8%] 2024-08-20T21:43:23.0411798Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex64 PASSED [0.0072s] [ 8%] 2024-08-20T21:43:23.0413187Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float16 PASSED [0.0074s] [ 8%] 2024-08-20T21:43:23.0414559Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float32 PASSED [0.0071s] [ 8%] 2024-08-20T21:43:23.0415959Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float64 PASSED [0.0073s] [ 8%] 2024-08-20T21:43:23.0417317Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int16 PASSED [0.0072s] [ 8%] 2024-08-20T21:43:23.0418668Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int32 PASSED [0.0072s] [ 8%] 2024-08-20T21:43:23.0420021Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int64 PASSED [0.0073s] [ 8%] 2024-08-20T21:43:23.0421443Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int8 PASSED [0.0071s] [ 8%] 2024-08-20T21:43:23.0422793Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_uint8 PASSED [0.0074s] [ 8%] 2024-08-20T21:43:23.0424134Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_bfloat16 PASSED [0.0072s] [ 8%] 2024-08-20T21:43:23.0425449Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_bool PASSED [0.0074s] [ 8%] 2024-08-20T21:43:23.0427006Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex128 PASSED [0.0072s] [ 8%] 2024-08-20T21:43:23.0428360Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex32 PASSED [0.0074s] [ 8%] 2024-08-20T21:43:23.0429715Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex64 PASSED [0.0072s] [ 8%] 2024-08-20T21:43:23.0431040Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float16 PASSED [0.0074s] [ 8%] 2024-08-20T21:43:23.0432440Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float32 PASSED [0.0072s] [ 8%] 2024-08-20T21:43:23.0433759Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float64 PASSED [0.0072s] [ 8%] 2024-08-20T21:43:23.0435065Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int16 PASSED [0.0073s] [ 8%] 2024-08-20T21:43:23.0436350Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int32 PASSED [0.0071s] [ 8%] 2024-08-20T21:43:23.0437653Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int64 PASSED [0.0073s] [ 8%] 2024-08-20T21:43:23.0438949Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int8 PASSED [0.0071s] [ 8%] 2024-08-20T21:43:23.0440315Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_uint8 PASSED [0.0079s] [ 8%] 2024-08-20T21:43:23.0441705Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_bfloat16 PASSED [0.0062s] [ 8%] 2024-08-20T21:43:23.0443163Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_bool PASSED [0.0063s] [ 8%] 2024-08-20T21:43:23.0444642Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex128 PASSED [0.0062s] [ 8%] 2024-08-20T21:43:23.0446127Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex32 PASSED [0.0063s] [ 8%] 2024-08-20T21:43:23.0447603Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex64 PASSED [0.0062s] [ 8%] 2024-08-20T21:43:23.0449082Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float16 PASSED [0.0061s] [ 8%] 2024-08-20T21:43:23.0450546Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float32 PASSED [0.0064s] [ 8%] 2024-08-20T21:43:23.0451990Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float64 PASSED [0.0061s] [ 8%] 2024-08-20T21:43:23.0453484Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int16 PASSED [0.0063s] [ 8%] 2024-08-20T21:43:23.0454912Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int32 PASSED [0.0061s] [ 8%] 2024-08-20T21:43:23.0456354Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int64 PASSED [0.0064s] [ 8%] 2024-08-20T21:43:23.0457782Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int8 PASSED [0.0062s] [ 8%] 2024-08-20T21:43:23.0459218Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_uint8 PASSED [0.0063s] [ 8%] 2024-08-20T21:43:23.0460652Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_bfloat16 PASSED [0.0083s] [ 8%] 2024-08-20T21:43:23.0462152Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_bool PASSED [0.0085s] [ 8%] 2024-08-20T21:43:23.0463545Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_complex128 PASSED [0.0084s] [ 8%] 2024-08-20T21:43:23.0464983Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_complex32 PASSED [0.0084s] [ 8%] 2024-08-20T21:43:23.0466412Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_complex64 PASSED [0.0085s] [ 8%] 2024-08-20T21:43:23.0467836Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_float16 PASSED [0.0083s] [ 9%] 2024-08-20T21:43:23.0469278Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_float32 PASSED [0.0085s] [ 9%] 2024-08-20T21:43:23.0470678Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_float64 PASSED [0.0083s] [ 9%] 2024-08-20T21:43:23.0472070Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int16 PASSED [0.0090s] [ 9%] 2024-08-20T21:43:23.0473455Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int32 PASSED [0.0082s] [ 9%] 2024-08-20T21:43:23.0474821Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int64 PASSED [0.0085s] [ 9%] 2024-08-20T21:43:23.0476264Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int8 PASSED [0.0083s] [ 9%] 2024-08-20T21:43:23.0477653Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_uint8 PASSED [0.0084s] [ 9%] 2024-08-20T21:43:23.0478960Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_bfloat16 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0480209Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_bool PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0481473Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_complex128 PASSED [0.0052s] [ 9%] 2024-08-20T21:43:23.0482760Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_complex64 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0484017Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_float16 PASSED [0.0053s] [ 9%] 2024-08-20T21:43:23.0485276Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_float32 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0486530Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_float64 PASSED [0.0054s] [ 9%] 2024-08-20T21:43:23.0487776Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int16 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0489288Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int32 PASSED [0.0053s] [ 9%] 2024-08-20T21:43:23.0490533Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int64 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0491762Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int8 PASSED [0.0052s] [ 9%] 2024-08-20T21:43:23.0492976Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_uint8 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0494245Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_bfloat16 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0495503Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_bool PASSED [0.0052s] [ 9%] 2024-08-20T21:43:23.0496771Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_complex128 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0498056Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_complex64 PASSED [0.0053s] [ 9%] 2024-08-20T21:43:23.0499337Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_float16 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0500601Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_float32 PASSED [0.0056s] [ 9%] 2024-08-20T21:43:23.0501963Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_float64 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0503208Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int16 PASSED [0.0053s] [ 9%] 2024-08-20T21:43:23.0504459Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int32 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0505759Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int64 PASSED [0.0052s] [ 9%] 2024-08-20T21:43:23.0506976Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int8 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0508224Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_uint8 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0509489Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_bfloat16 PASSED [0.0097s] [ 9%] 2024-08-20T21:43:23.0510748Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_bool PASSED [0.0094s] [ 9%] 2024-08-20T21:43:23.0511988Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_float16 PASSED [0.0097s] [ 9%] 2024-08-20T21:43:23.0513317Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_float32 PASSED [0.0094s] [ 9%] 2024-08-20T21:43:23.0514595Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_float64 PASSED [0.0097s] [ 9%] 2024-08-20T21:43:23.0515848Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int16 PASSED [0.0095s] [ 9%] 2024-08-20T21:43:23.0517080Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int32 PASSED [0.0097s] [ 9%] 2024-08-20T21:43:23.0518315Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int64 PASSED [0.0094s] [ 9%] 2024-08-20T21:43:23.0519551Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int8 PASSED [0.0096s] [ 9%] 2024-08-20T21:43:23.0520780Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_uint8 PASSED [0.0095s] [ 9%] 2024-08-20T21:43:23.0522046Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_bfloat16 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0523289Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_bool PASSED [0.0052s] [ 9%] 2024-08-20T21:43:23.0524548Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_complex128 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0526146Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_complex64 PASSED [0.0053s] [ 9%] 2024-08-20T21:43:23.0527424Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_float16 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0528685Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_float32 PASSED [0.0057s] [ 9%] 2024-08-20T21:43:23.0529944Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_float64 PASSED [0.0050s] [ 9%] 2024-08-20T21:43:23.0531184Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int16 PASSED [0.0052s] [ 9%] 2024-08-20T21:43:23.0532430Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int32 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0533660Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int64 PASSED [0.0052s] [ 9%] 2024-08-20T21:43:23.0534879Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int8 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0536109Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_uint8 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0537368Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_bfloat16 PASSED [0.0053s] [ 9%] 2024-08-20T21:43:23.0538620Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_bool PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0539885Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_complex128 PASSED [0.0053s] [ 9%] 2024-08-20T21:43:23.0541367Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_complex64 PASSED [0.0051s] [ 9%] 2024-08-20T21:43:23.0542653Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_float16 PASSED [0.0053s] [ 9%] 2024-08-20T21:43:23.0543918Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_float32 PASSED [0.0051s] [ 10%] 2024-08-20T21:43:23.0545184Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_float64 PASSED [0.0053s] [ 10%] 2024-08-20T21:43:23.0546441Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int16 PASSED [0.0051s] [ 10%] 2024-08-20T21:43:23.0547689Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int32 PASSED [0.0052s] [ 10%] 2024-08-20T21:43:23.0549010Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int64 PASSED [0.0051s] [ 10%] 2024-08-20T21:43:23.0550256Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int8 PASSED [0.0051s] [ 10%] 2024-08-20T21:43:23.0551495Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_uint8 PASSED [0.0052s] [ 10%] 2024-08-20T21:43:23.0552793Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_bfloat16 PASSED [0.0078s] [ 10%] 2024-08-20T21:43:23.0554087Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_bool PASSED [0.0080s] [ 10%] 2024-08-20T21:43:23.0555412Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_complex128 PASSED [0.0079s] [ 10%] 2024-08-20T21:43:23.0556764Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_complex32 PASSED [0.0084s] [ 10%] 2024-08-20T21:43:23.0558104Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_complex64 PASSED [0.0077s] [ 10%] 2024-08-20T21:43:23.0559444Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_float16 PASSED [0.0079s] [ 10%] 2024-08-20T21:43:23.0560764Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_float32 PASSED [0.0078s] [ 10%] 2024-08-20T21:43:23.0562138Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_float64 PASSED [0.0079s] [ 10%] 2024-08-20T21:43:23.0563422Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_int16 PASSED [0.0077s] [ 10%] 2024-08-20T21:43:23.0564707Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_int32 PASSED [0.0077s] [ 10%] 2024-08-20T21:43:23.0566009Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_int64 PASSED [0.0079s] [ 10%] 2024-08-20T21:43:23.0567308Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_int8 PASSED [0.0077s] [ 10%] 2024-08-20T21:43:23.0568598Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_uint8 PASSED [0.0080s] [ 10%] 2024-08-20T21:43:23.0569915Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_bfloat16 PASSED [0.0077s] [ 10%] 2024-08-20T21:43:23.0571228Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_bool PASSED [0.0079s] [ 10%] 2024-08-20T21:43:23.0572554Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_complex128 PASSED [0.0079s] [ 10%] 2024-08-20T21:43:23.0573892Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_complex32 PASSED [0.0080s] [ 10%] 2024-08-20T21:43:23.0575232Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_complex64 PASSED [0.0078s] [ 10%] 2024-08-20T21:43:23.0576574Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_float16 PASSED [0.0078s] [ 10%] 2024-08-20T21:43:23.0577925Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_float32 PASSED [0.0080s] [ 10%] 2024-08-20T21:43:23.0579234Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_float64 PASSED [0.0078s] [ 10%] 2024-08-20T21:43:23.0580545Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_int16 PASSED [0.0080s] [ 10%] 2024-08-20T21:43:23.0581952Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_int32 PASSED [0.0078s] [ 10%] 2024-08-20T21:43:23.0583243Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_int64 PASSED [0.0080s] [ 10%] 2024-08-20T21:43:23.0584533Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_int8 PASSED [0.0078s] [ 10%] 2024-08-20T21:43:23.0585895Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_uint8 PASSED [0.0084s] [ 10%] 2024-08-20T21:43:23.0587214Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_bfloat16 PASSED [0.0078s] [ 10%] 2024-08-20T21:43:23.0588801Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_bool PASSED [0.0077s] [ 10%] 2024-08-20T21:43:23.0590131Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_complex128 PASSED [0.0081s] [ 10%] 2024-08-20T21:43:23.0591464Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_complex32 PASSED [0.0078s] [ 10%] 2024-08-20T21:43:23.0592804Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_complex64 PASSED [0.0081s] [ 10%] 2024-08-20T21:43:23.0594148Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_float16 PASSED [0.0077s] [ 10%] 2024-08-20T21:43:23.0595453Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_float32 PASSED [0.0079s] [ 10%] 2024-08-20T21:43:23.0596759Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_float64 PASSED [0.0078s] [ 10%] 2024-08-20T21:43:23.0598073Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_int16 PASSED [0.0079s] [ 10%] 2024-08-20T21:43:23.0599421Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_int32 PASSED [0.0078s] [ 10%] 2024-08-20T21:43:23.0600706Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_int64 PASSED [0.0077s] [ 10%] 2024-08-20T21:43:23.0602046Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_int8 PASSED [0.0079s] [ 10%] 2024-08-20T21:43:23.0603336Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_uint8 PASSED [0.0077s] [ 10%] 2024-08-20T21:43:23.0604629Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_bfloat16 PASSED [0.0081s] [ 10%] 2024-08-20T21:43:23.0605934Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_complex128 PASSED [0.0121s] [ 10%] 2024-08-20T21:43:23.0607257Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_complex64 PASSED [0.0123s] [ 10%] 2024-08-20T21:43:23.0608558Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_float16 PASSED [0.0079s] [ 10%] 2024-08-20T21:43:23.0609821Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_float32 PASSED [0.0079s] [ 10%] 2024-08-20T21:43:23.0611109Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_float64 PASSED [0.0081s] [ 10%] 2024-08-20T21:43:23.0612388Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int16 PASSED [0.0079s] [ 10%] 2024-08-20T21:43:23.0613699Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int32 PASSED [0.0085s] [ 10%] 2024-08-20T21:43:23.0614956Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int64 PASSED [0.0079s] [ 10%] 2024-08-20T21:43:23.0616228Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int8 PASSED [0.0081s] [ 10%] 2024-08-20T21:43:23.0617487Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_uint8 PASSED [0.0079s] [ 10%] 2024-08-20T21:43:23.0618786Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bernoulli_cpu_bfloat16 PASSED [0.0068s] [ 10%] 2024-08-20T21:43:23.0620093Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bernoulli_cpu_float16 PASSED [0.0066s] [ 10%] 2024-08-20T21:43:23.0621548Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bernoulli_cpu_float32 PASSED [0.0067s] [ 10%] 2024-08-20T21:43:23.0622863Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bernoulli_cpu_float64 PASSED [0.0068s] [ 11%] 2024-08-20T21:43:23.0624159Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_bfloat16 PASSED [0.0071s] [ 11%] 2024-08-20T21:43:23.0625445Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_bool PASSED [0.0073s] [ 11%] 2024-08-20T21:43:23.0627006Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_complex128 PASSED [0.0073s] [ 11%] 2024-08-20T21:43:23.0628335Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_complex32 PASSED [0.0075s] [ 11%] 2024-08-20T21:43:23.0629644Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_complex64 PASSED [0.0072s] [ 11%] 2024-08-20T21:43:23.0630960Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_float16 PASSED [0.0073s] [ 11%] 2024-08-20T21:43:23.0632262Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_float32 PASSED [0.0071s] [ 11%] 2024-08-20T21:43:23.0633582Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_float64 PASSED [0.0073s] [ 11%] 2024-08-20T21:43:23.0634938Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int16 PASSED [0.0072s] [ 11%] 2024-08-20T21:43:23.0636214Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int32 PASSED [0.0071s] [ 11%] 2024-08-20T21:43:23.0637483Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int64 PASSED [0.0073s] [ 11%] 2024-08-20T21:43:23.0638740Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int8 PASSED [0.0071s] [ 11%] 2024-08-20T21:43:23.0640024Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_uint8 PASSED [0.0073s] [ 11%] 2024-08-20T21:43:23.0641298Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int16 PASSED [0.0125s] [ 11%] 2024-08-20T21:43:23.0642577Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int32 PASSED [0.0130s] [ 11%] 2024-08-20T21:43:23.0643841Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int64 PASSED [0.0124s] [ 11%] 2024-08-20T21:43:23.0645107Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int8 PASSED [0.0127s] [ 11%] 2024-08-20T21:43:23.0646384Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_uint8 PASSED [0.0124s] [ 11%] 2024-08-20T21:43:23.0647665Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_bool PASSED [0.0096s] [ 11%] 2024-08-20T21:43:23.0648967Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int16 PASSED [0.0095s] [ 11%] 2024-08-20T21:43:23.0650329Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int32 PASSED [0.0095s] [ 11%] 2024-08-20T21:43:23.0651631Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int64 PASSED [0.0097s] [ 11%] 2024-08-20T21:43:23.0652918Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int8 PASSED [0.0095s] [ 11%] 2024-08-20T21:43:23.0654221Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_uint8 PASSED [0.0097s] [ 11%] 2024-08-20T21:43:23.0655573Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int16 PASSED [0.0095s] [ 11%] 2024-08-20T21:43:23.0656951Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int32 PASSED [0.0098s] [ 11%] 2024-08-20T21:43:23.0658428Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int64 PASSED [0.0096s] [ 11%] 2024-08-20T21:43:23.0659801Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int8 PASSED [0.0097s] [ 11%] 2024-08-20T21:43:23.0661275Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_uint8 PASSED [0.0095s] [ 11%] 2024-08-20T21:43:23.0662621Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_bool PASSED [0.0061s] [ 11%] 2024-08-20T21:43:23.0663916Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int16 PASSED [0.0063s] [ 11%] 2024-08-20T21:43:23.0665222Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int32 PASSED [0.0061s] [ 11%] 2024-08-20T21:43:23.0666525Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int64 PASSED [0.0063s] [ 11%] 2024-08-20T21:43:23.0667822Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int8 PASSED [0.0061s] [ 11%] 2024-08-20T21:43:23.0669109Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_uint8 PASSED [0.0064s] [ 11%] 2024-08-20T21:43:23.0670405Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_bool PASSED [0.0094s] [ 11%] 2024-08-20T21:43:23.0671737Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int16 PASSED [0.0101s] [ 11%] 2024-08-20T21:43:23.0673015Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int32 PASSED [0.0095s] [ 11%] 2024-08-20T21:43:23.0674305Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int64 PASSED [0.0097s] [ 11%] 2024-08-20T21:43:23.0675594Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int8 PASSED [0.0095s] [ 11%] 2024-08-20T21:43:23.0676886Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_uint8 PASSED [0.0096s] [ 11%] 2024-08-20T21:43:23.0678223Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int16 PASSED [0.0097s] [ 11%] 2024-08-20T21:43:23.0679615Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int32 PASSED [0.0094s] [ 11%] 2024-08-20T21:43:23.0681003Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int64 PASSED [0.0097s] [ 11%] 2024-08-20T21:43:23.0682388Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int8 PASSED [0.0094s] [ 11%] 2024-08-20T21:43:23.0683769Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_uint8 PASSED [0.0097s] [ 11%] 2024-08-20T21:43:23.0685114Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_bool PASSED [0.0094s] [ 11%] 2024-08-20T21:43:23.0686456Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int16 PASSED [0.0097s] [ 11%] 2024-08-20T21:43:23.0687762Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int32 PASSED [0.0095s] [ 11%] 2024-08-20T21:43:23.0689333Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int64 PASSED [0.0097s] [ 11%] 2024-08-20T21:43:23.0690637Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int8 PASSED [0.0094s] [ 11%] 2024-08-20T21:43:23.0691937Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_uint8 PASSED [0.0095s] [ 11%] 2024-08-20T21:43:23.0693240Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_bfloat16 PASSED [0.0069s] [ 11%] 2024-08-20T21:43:23.0694612Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_bool PASSED [0.0067s] [ 11%] 2024-08-20T21:43:23.0695946Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex128 PASSED [0.0070s] [ 11%] 2024-08-20T21:43:23.0697292Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex32 PASSED [0.0090s] [ 11%] 2024-08-20T21:43:23.0698629Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex64 PASSED [0.0093s] [ 11%] 2024-08-20T21:43:23.0699956Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float16 PASSED [0.0067s] [ 11%] 2024-08-20T21:43:23.0701350Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float32 PASSED [0.0073s] [ 12%] 2024-08-20T21:43:23.0702665Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float64 PASSED [0.0067s] [ 12%] 2024-08-20T21:43:23.0703954Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int16 PASSED [0.0067s] [ 12%] 2024-08-20T21:43:23.0705258Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int32 PASSED [0.0070s] [ 12%] 2024-08-20T21:43:23.0706551Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int64 PASSED [0.0067s] [ 12%] 2024-08-20T21:43:23.0707862Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int8 PASSED [0.0070s] [ 12%] 2024-08-20T21:43:23.0709146Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_uint8 PASSED [0.0067s] [ 12%] 2024-08-20T21:43:23.0710415Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_bfloat16 PASSED [0.0053s] [ 12%] 2024-08-20T21:43:23.0711680Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_complex128 PASSED [0.0051s] [ 12%] 2024-08-20T21:43:23.0712938Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_complex64 PASSED [0.0052s] [ 12%] 2024-08-20T21:43:23.0714202Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float16 PASSED [0.0051s] [ 12%] 2024-08-20T21:43:23.0715442Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float32 PASSED [0.0051s] [ 12%] 2024-08-20T21:43:23.0716676Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float64 PASSED [0.0053s] [ 12%] 2024-08-20T21:43:23.0717880Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int16 PASSED [0.0051s] [ 12%] 2024-08-20T21:43:23.0719104Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int32 PASSED [0.0053s] [ 12%] 2024-08-20T21:43:23.0720323Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int64 PASSED [0.0051s] [ 12%] 2024-08-20T21:43:23.0721530Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int8 PASSED [0.0053s] [ 12%] 2024-08-20T21:43:23.0722796Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_uint8 PASSED [0.0051s] [ 12%] 2024-08-20T21:43:23.0724044Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bfloat16 PASSED [0.0074s] [ 12%] 2024-08-20T21:43:23.0725286Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bool PASSED [0.0071s] [ 12%] 2024-08-20T21:43:23.0726798Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex128 PASSED [0.0074s] [ 12%] 2024-08-20T21:43:23.0728076Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex32 PASSED [0.0072s] [ 12%] 2024-08-20T21:43:23.0729358Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex64 PASSED [0.0072s] [ 12%] 2024-08-20T21:43:23.0730728Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float16 PASSED [0.0073s] [ 12%] 2024-08-20T21:43:23.0731980Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float32 PASSED [0.0071s] [ 12%] 2024-08-20T21:43:23.0733235Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float64 PASSED [0.0073s] [ 12%] 2024-08-20T21:43:23.0734477Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int16 PASSED [0.0071s] [ 12%] 2024-08-20T21:43:23.0735699Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int32 PASSED [0.0074s] [ 12%] 2024-08-20T21:43:23.0736938Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int64 PASSED [0.0071s] [ 12%] 2024-08-20T21:43:23.0738157Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int8 PASSED [0.0074s] [ 12%] 2024-08-20T21:43:23.0739381Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_uint8 PASSED [0.0072s] [ 12%] 2024-08-20T21:43:23.0740679Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_shapes_cpu_float32 PASSED [0.0098s] [ 12%] 2024-08-20T21:43:23.0742179Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bfloat16 PASSED [0.0053s] [ 12%] 2024-08-20T21:43:23.0743617Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bool PASSED [0.0051s] [ 12%] 2024-08-20T21:43:23.0745020Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex128 PASSED [0.0053s] [ 12%] 2024-08-20T21:43:23.0746425Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex64 PASSED [0.0053s] [ 12%] 2024-08-20T21:43:23.0747833Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float16 PASSED [0.0054s] [ 12%] 2024-08-20T21:43:23.0749235Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float32 PASSED [0.0051s] [ 12%] 2024-08-20T21:43:23.0750629Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float64 PASSED [0.0053s] [ 12%] 2024-08-20T21:43:23.0751991Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int16 PASSED [0.0051s] [ 12%] 2024-08-20T21:43:23.0753362Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int32 PASSED [0.0054s] [ 12%] 2024-08-20T21:43:23.0754721Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int64 PASSED [0.0052s] [ 12%] 2024-08-20T21:43:23.0756082Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int8 PASSED [0.0051s] [ 12%] 2024-08-20T21:43:23.0757442Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_uint8 PASSED [0.0056s] [ 12%] 2024-08-20T21:43:23.0758844Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bfloat16 PASSED [0.0082s] [ 12%] 2024-08-20T21:43:23.0760180Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bool PASSED [0.0084s] [ 12%] 2024-08-20T21:43:23.0761514Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex128 PASSED [0.0082s] [ 12%] 2024-08-20T21:43:23.0762879Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex64 PASSED [0.0084s] [ 12%] 2024-08-20T21:43:23.0764232Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float16 PASSED [0.0081s] [ 12%] 2024-08-20T21:43:23.0765575Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float32 PASSED [0.0083s] [ 12%] 2024-08-20T21:43:23.0766965Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float64 PASSED [0.0082s] [ 12%] 2024-08-20T21:43:23.0768296Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int16 PASSED [0.0081s] [ 12%] 2024-08-20T21:43:23.0769617Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int32 PASSED [0.0082s] [ 12%] 2024-08-20T21:43:23.0770923Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int64 PASSED [0.0081s] [ 12%] 2024-08-20T21:43:23.0772228Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int8 PASSED [0.0083s] [ 12%] 2024-08-20T21:43:23.0773542Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_uint8 PASSED [0.0081s] [ 12%] 2024-08-20T21:43:23.0774855Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_bfloat16 PASSED [0.0193s] [ 12%] 2024-08-20T21:43:23.0776159Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float16 PASSED [0.0189s] [ 12%] 2024-08-20T21:43:23.0777475Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float32 PASSED [0.0194s] [ 12%] 2024-08-20T21:43:23.0778791Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float64 PASSED [0.0186s] [ 12%] 2024-08-20T21:43:23.0780127Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int16 PASSED [0.0181s] [ 13%] 2024-08-20T21:43:23.0781490Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int32 PASSED [0.0192s] [ 13%] 2024-08-20T21:43:23.0782781Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int64 PASSED [0.0179s] [ 13%] 2024-08-20T21:43:23.0784066Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int8 PASSED [0.0189s] [ 13%] 2024-08-20T21:43:23.0785357Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_uint8 PASSED [0.0180s] [ 13%] 2024-08-20T21:43:23.0786620Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bfloat16 PASSED [0.0079s] [ 13%] 2024-08-20T21:43:23.0787862Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bool PASSED [0.0071s] [ 13%] 2024-08-20T21:43:23.0789344Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex128 PASSED [0.0074s] [ 13%] 2024-08-20T21:43:23.0790611Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex64 PASSED [0.0072s] [ 13%] 2024-08-20T21:43:23.0791882Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float16 PASSED [0.0073s] [ 13%] 2024-08-20T21:43:23.0793133Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float32 PASSED [0.0072s] [ 13%] 2024-08-20T21:43:23.0794387Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float64 PASSED [0.0071s] [ 13%] 2024-08-20T21:43:23.0795660Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int16 PASSED [0.0073s] [ 13%] 2024-08-20T21:43:23.0796888Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int32 PASSED [0.0072s] [ 13%] 2024-08-20T21:43:23.0798121Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int64 PASSED [0.0073s] [ 13%] 2024-08-20T21:43:23.0799335Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int8 PASSED [0.0072s] [ 13%] 2024-08-20T21:43:23.0800567Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_uint8 PASSED [0.0074s] [ 13%] 2024-08-20T21:43:23.0801882Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bfloat16 PASSED [0.0061s] [ 13%] 2024-08-20T21:43:23.0803311Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bool PASSED [0.0062s] [ 13%] 2024-08-20T21:43:23.0804681Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex128 PASSED [0.0061s] [ 13%] 2024-08-20T21:43:23.0806075Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex64 PASSED [0.0062s] [ 13%] 2024-08-20T21:43:23.0807459Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float16 PASSED [0.0060s] [ 13%] 2024-08-20T21:43:23.0808822Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float32 PASSED [0.0060s] [ 13%] 2024-08-20T21:43:23.0810173Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float64 PASSED [0.0062s] [ 13%] 2024-08-20T21:43:23.0811531Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int16 PASSED [0.0060s] [ 13%] 2024-08-20T21:43:23.0812877Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int32 PASSED [0.0063s] [ 13%] 2024-08-20T21:43:23.0814223Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int64 PASSED [0.0060s] [ 13%] 2024-08-20T21:43:23.0815550Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int8 PASSED [0.0066s] [ 13%] 2024-08-20T21:43:23.0816929Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_uint8 PASSED [0.0060s] [ 13%] 2024-08-20T21:43:23.0818225Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bfloat16 PASSED [0.0097s] [ 13%] 2024-08-20T21:43:23.0819437Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bool PASSED [0.0095s] [ 13%] 2024-08-20T21:43:23.0820694Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex128 PASSED [0.0098s] [ 13%] 2024-08-20T21:43:23.0822068Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex32 PASSED [0.0096s] [ 13%] 2024-08-20T21:43:23.0823344Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex64 PASSED [0.0095s] [ 13%] 2024-08-20T21:43:23.0824584Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float16 PASSED [0.0096s] [ 13%] 2024-08-20T21:43:23.0826041Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float32 PASSED [0.0094s] [ 13%] 2024-08-20T21:43:23.0827282Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float64 PASSED [0.0096s] [ 13%] 2024-08-20T21:43:23.0828508Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int16 PASSED [0.0094s] [ 13%] 2024-08-20T21:43:23.0829720Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int32 PASSED [0.0096s] [ 13%] 2024-08-20T21:43:23.0830946Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int64 PASSED [0.0094s] [ 13%] 2024-08-20T21:43:23.0832250Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int8 PASSED [0.0096s] [ 13%] 2024-08-20T21:43:23.0833451Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_uint8 PASSED [0.0094s] [ 13%] 2024-08-20T21:43:23.0834718Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_bfloat16 PASSED [0.0063s] [ 13%] 2024-08-20T21:43:23.0836002Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float16 PASSED [0.0062s] [ 13%] 2024-08-20T21:43:23.0837278Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float32 PASSED [0.0061s] [ 13%] 2024-08-20T21:43:23.0838537Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float64 PASSED [0.0063s] [ 13%] 2024-08-20T21:43:23.0839885Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float32 PASSED [0.1395s] [ 13%] 2024-08-20T21:43:23.0841159Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float64 PASSED [0.1414s] [ 13%] 2024-08-20T21:43:23.0842451Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bfloat16 PASSED [0.0073s] [ 13%] 2024-08-20T21:43:23.0843718Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bool PASSED [0.0079s] [ 13%] 2024-08-20T21:43:23.0845019Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex128 PASSED [0.0073s] [ 13%] 2024-08-20T21:43:23.0846343Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex32 PASSED [0.0075s] [ 13%] 2024-08-20T21:43:23.0847643Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex64 PASSED [0.0072s] [ 13%] 2024-08-20T21:43:23.0848944Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float16 PASSED [0.0073s] [ 13%] 2024-08-20T21:43:23.0850232Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float32 PASSED [0.0072s] [ 13%] 2024-08-20T21:43:23.0851508Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float64 PASSED [0.0072s] [ 13%] 2024-08-20T21:43:23.0852818Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int16 PASSED [0.0073s] [ 13%] 2024-08-20T21:43:23.0854086Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int32 PASSED [0.0072s] [ 13%] 2024-08-20T21:43:23.0855417Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int64 PASSED [0.0073s] [ 13%] 2024-08-20T21:43:23.0856741Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int8 PASSED [0.0072s] [ 14%] 2024-08-20T21:43:23.0858281Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_uint8 PASSED [0.0074s] [ 14%] 2024-08-20T21:43:23.0859659Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_bfloat16 PASSED [0.0051s] [ 14%] 2024-08-20T21:43:23.0861172Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float16 PASSED [0.0053s] [ 14%] 2024-08-20T21:43:23.0862502Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float32 PASSED [0.0051s] [ 14%] 2024-08-20T21:43:23.0863878Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float64 PASSED [0.0053s] [ 14%] 2024-08-20T21:43:23.0865270Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int16 PASSED [0.0051s] [ 14%] 2024-08-20T21:43:23.0866565Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int32 PASSED [0.0052s] [ 14%] 2024-08-20T21:43:23.0867908Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int64 PASSED [0.0052s] [ 14%] 2024-08-20T21:43:23.0869321Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int8 PASSED [0.0050s] [ 14%] 2024-08-20T21:43:23.0870655Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_uint8 PASSED [0.0053s] [ 14%] 2024-08-20T21:43:23.0871977Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bfloat16 PASSED [0.0071s] [ 14%] 2024-08-20T21:43:23.0873386Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bool PASSED [0.0077s] [ 14%] 2024-08-20T21:43:23.0874774Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex128 PASSED [0.0072s] [ 14%] 2024-08-20T21:43:23.0876134Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex32 PASSED [0.0074s] [ 14%] 2024-08-20T21:43:23.0877639Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex64 PASSED [0.0072s] [ 14%] 2024-08-20T21:43:23.0879057Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float16 PASSED [0.0073s] [ 14%] 2024-08-20T21:43:23.0880446Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float32 PASSED [0.0071s] [ 14%] 2024-08-20T21:43:23.0881818Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float64 PASSED [0.0071s] [ 14%] 2024-08-20T21:43:23.0883182Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int16 PASSED [0.0073s] [ 14%] 2024-08-20T21:43:23.0884541Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int32 PASSED [0.0071s] [ 14%] 2024-08-20T21:43:23.0885923Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int64 PASSED [0.0073s] [ 14%] 2024-08-20T21:43:23.0887238Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int8 PASSED [0.0071s] [ 14%] 2024-08-20T21:43:23.0888821Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_uint8 PASSED [0.0073s] [ 14%] 2024-08-20T21:43:23.0890246Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bfloat16 PASSED [0.0072s] [ 14%] 2024-08-20T21:43:23.0891616Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bool PASSED [0.0073s] [ 14%] 2024-08-20T21:43:23.0892989Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex128 PASSED [0.0072s] [ 14%] 2024-08-20T21:43:23.0894444Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex32 PASSED [0.0074s] [ 14%] 2024-08-20T21:43:23.0895876Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex64 PASSED [0.0072s] [ 14%] 2024-08-20T21:43:23.0897222Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float16 PASSED [0.0071s] [ 14%] 2024-08-20T21:43:23.0898644Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float32 PASSED [0.0073s] [ 14%] 2024-08-20T21:43:23.0900001Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float64 PASSED [0.0071s] [ 14%] 2024-08-20T21:43:23.0901476Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int16 PASSED [0.0073s] [ 14%] 2024-08-20T21:43:23.0902853Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int32 PASSED [0.0071s] [ 14%] 2024-08-20T21:43:23.0904199Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int64 PASSED [0.0078s] [ 14%] 2024-08-20T21:43:23.0905534Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int8 PASSED [0.0072s] [ 14%] 2024-08-20T21:43:23.0906881Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_uint8 PASSED [0.0073s] [ 14%] 2024-08-20T21:43:23.0908278Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bfloat16 PASSED [0.0072s] [ 14%] 2024-08-20T21:43:23.0909629Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bool PASSED [0.0073s] [ 14%] 2024-08-20T21:43:23.0911058Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex128 PASSED [0.0071s] [ 14%] 2024-08-20T21:43:23.0912399Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex32 PASSED [0.0072s] [ 14%] 2024-08-20T21:43:23.0913780Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex64 PASSED [0.0073s] [ 14%] 2024-08-20T21:43:23.0915182Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float16 PASSED [0.0072s] [ 14%] 2024-08-20T21:43:23.0916604Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float32 PASSED [0.0073s] [ 14%] 2024-08-20T21:43:23.0917918Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float64 PASSED [0.0072s] [ 14%] 2024-08-20T21:43:23.0919304Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int16 PASSED [0.0073s] [ 14%] 2024-08-20T21:43:23.0920649Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int32 PASSED [0.0071s] [ 14%] 2024-08-20T21:43:23.0921937Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int64 PASSED [0.0074s] [ 14%] 2024-08-20T21:43:23.0923306Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int8 PASSED [0.0071s] [ 14%] 2024-08-20T21:43:23.0924642Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_uint8 PASSED [0.0074s] [ 14%] 2024-08-20T21:43:23.0926350Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex128 PASSED [0.0165s] [ 14%] 2024-08-20T21:43:23.0927760Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex64 PASSED [0.0155s] [ 14%] 2024-08-20T21:43:23.0929193Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float32 PASSED [0.0140s] [ 14%] 2024-08-20T21:43:23.0930636Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float64 PASSED [0.0145s] [ 14%] 2024-08-20T21:43:23.0932191Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex128 PASSED [0.0412s] [ 14%] 2024-08-20T21:43:23.0933668Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex64 PASSED [0.0296s] [ 14%] 2024-08-20T21:43:23.0935206Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float32 PASSED [0.0158s] [ 14%] 2024-08-20T21:43:23.0936701Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float64 PASSED [0.0157s] [ 14%] 2024-08-20T21:43:23.0938191Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex128 PASSED [0.0120s] [ 14%] 2024-08-20T21:43:23.0939693Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex64 PASSED [0.0123s] [ 14%] 2024-08-20T21:43:23.0941284Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float32 PASSED [0.0118s] [ 15%] 2024-08-20T21:43:23.0942752Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float64 PASSED [0.0120s] [ 15%] 2024-08-20T21:43:23.0944202Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bfloat16 PASSED [0.0062s] [ 15%] 2024-08-20T21:43:23.0945573Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bool PASSED [0.0063s] [ 15%] 2024-08-20T21:43:23.0946946Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex128 PASSED [0.0061s] [ 15%] 2024-08-20T21:43:23.0948450Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex32 PASSED [0.0061s] [ 15%] 2024-08-20T21:43:23.0949796Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex64 PASSED [0.0063s] [ 15%] 2024-08-20T21:43:23.0951173Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float16 PASSED [0.0061s] [ 15%] 2024-08-20T21:43:23.0952598Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float32 PASSED [0.0064s] [ 15%] 2024-08-20T21:43:23.0953957Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float64 PASSED [0.0061s] [ 15%] 2024-08-20T21:43:23.0955275Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int16 PASSED [0.0064s] [ 15%] 2024-08-20T21:43:23.0956756Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int32 PASSED [0.0061s] [ 15%] 2024-08-20T21:43:23.0958105Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int64 PASSED [0.0063s] [ 15%] 2024-08-20T21:43:23.0959457Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int8 PASSED [0.0062s] [ 15%] 2024-08-20T21:43:23.0960842Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_uint8 PASSED [0.0063s] [ 15%] 2024-08-20T21:43:23.0962208Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_bfloat16 PASSED [0.0085s] [ 15%] 2024-08-20T21:43:23.0963590Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float16 PASSED [0.0084s] [ 15%] 2024-08-20T21:43:23.0964945Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float32 PASSED [0.0089s] [ 15%] 2024-08-20T21:43:23.0966316Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float64 PASSED [0.0084s] [ 15%] 2024-08-20T21:43:23.0967677Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int16 PASSED [0.0086s] [ 15%] 2024-08-20T21:43:23.0969049Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int32 PASSED [0.0085s] [ 15%] 2024-08-20T21:43:23.0970391Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int64 PASSED [0.0086s] [ 15%] 2024-08-20T21:43:23.0971722Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int8 PASSED [0.0084s] [ 15%] 2024-08-20T21:43:23.0973102Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_uint8 PASSED [0.0087s] [ 15%] 2024-08-20T21:43:23.0974479Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bfloat16 PASSED [0.0096s] [ 15%] 2024-08-20T21:43:23.0999828Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bool PASSED [0.0097s] [ 15%] 2024-08-20T21:43:23.1001428Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float16 PASSED [0.0095s] [ 15%] 2024-08-20T21:43:23.1002751Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float32 PASSED [0.0095s] [ 15%] 2024-08-20T21:43:23.1004069Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float64 PASSED [0.0098s] [ 15%] 2024-08-20T21:43:23.1005364Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int16 PASSED [0.0095s] [ 15%] 2024-08-20T21:43:23.1006646Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int32 PASSED [0.0098s] [ 15%] 2024-08-20T21:43:23.1007915Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int64 PASSED [0.0096s] [ 15%] 2024-08-20T21:43:23.1009197Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int8 PASSED [0.0097s] [ 15%] 2024-08-20T21:43:23.1010623Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_uint8 PASSED [0.0096s] [ 15%] 2024-08-20T21:43:23.1011914Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bfloat16 PASSED [0.0098s] [ 15%] 2024-08-20T21:43:23.1013202Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bool PASSED [0.0095s] [ 15%] 2024-08-20T21:43:23.1014487Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float16 PASSED [0.0095s] [ 15%] 2024-08-20T21:43:23.1015785Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float32 PASSED [0.0097s] [ 15%] 2024-08-20T21:43:23.1017064Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float64 PASSED [0.0095s] [ 15%] 2024-08-20T21:43:23.1018415Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int16 PASSED [0.0102s] [ 15%] 2024-08-20T21:43:23.1019687Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int32 PASSED [0.0095s] [ 15%] 2024-08-20T21:43:23.1021045Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int64 PASSED [0.0097s] [ 15%] 2024-08-20T21:43:23.1022309Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int8 PASSED [0.0095s] [ 15%] 2024-08-20T21:43:23.1023573Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_uint8 PASSED [0.0097s] [ 15%] 2024-08-20T21:43:23.1024838Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bfloat16 PASSED [0.0056s] [ 15%] 2024-08-20T21:43:23.1026273Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bool PASSED [0.0056s] [ 15%] 2024-08-20T21:43:23.1027540Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex128 PASSED [0.0058s] [ 15%] 2024-08-20T21:43:23.1028821Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex32 PASSED [0.0056s] [ 15%] 2024-08-20T21:43:23.1030084Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex64 PASSED [0.0058s] [ 15%] 2024-08-20T21:43:23.1031435Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float16 PASSED [0.0056s] [ 15%] 2024-08-20T21:43:23.1032682Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float32 PASSED [0.0058s] [ 15%] 2024-08-20T21:43:23.1033931Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float64 PASSED [0.0057s] [ 15%] 2024-08-20T21:43:23.1035168Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int16 PASSED [0.0058s] [ 15%] 2024-08-20T21:43:23.1036391Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int32 PASSED [0.0056s] [ 15%] 2024-08-20T21:43:23.1037621Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int64 PASSED [0.0058s] [ 15%] 2024-08-20T21:43:23.1038833Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int8 PASSED [0.0056s] [ 15%] 2024-08-20T21:43:23.1040056Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_uint8 PASSED [0.0056s] [ 15%] 2024-08-20T21:43:23.1041346Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bfloat16 PASSED [0.0064s] [ 15%] 2024-08-20T21:43:23.1042657Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bool PASSED [0.0062s] [ 15%] 2024-08-20T21:43:23.1043989Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex128 PASSED [0.0064s] [ 16%] 2024-08-20T21:43:23.1045344Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex32 PASSED [0.0062s] [ 16%] 2024-08-20T21:43:23.1046735Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex64 PASSED [0.0067s] [ 16%] 2024-08-20T21:43:23.1048066Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float16 PASSED [0.0062s] [ 16%] 2024-08-20T21:43:23.1049395Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float32 PASSED [0.0063s] [ 16%] 2024-08-20T21:43:23.1050711Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float64 PASSED [0.0062s] [ 16%] 2024-08-20T21:43:23.1052017Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int16 PASSED [0.0064s] [ 16%] 2024-08-20T21:43:23.1053321Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int32 PASSED [0.0061s] [ 16%] 2024-08-20T21:43:23.1054691Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int64 PASSED [0.0061s] [ 16%] 2024-08-20T21:43:23.1055982Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int8 PASSED [0.0063s] [ 16%] 2024-08-20T21:43:23.1057282Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_uint8 PASSED [0.0062s] [ 16%] 2024-08-20T21:43:23.1058611Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bfloat16 PASSED [0.0136s] [ 16%] 2024-08-20T21:43:23.1059925Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bool PASSED [0.0134s] [ 16%] 2024-08-20T21:43:23.1061341Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex128 PASSED [0.0137s] [ 16%] 2024-08-20T21:43:23.1062707Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex64 PASSED [0.0134s] [ 16%] 2024-08-20T21:43:23.1064054Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float16 PASSED [0.0137s] [ 16%] 2024-08-20T21:43:23.1065387Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float32 PASSED [0.0134s] [ 16%] 2024-08-20T21:43:23.1066716Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float64 PASSED [0.0136s] [ 16%] 2024-08-20T21:43:23.1068100Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int16 PASSED [0.0133s] [ 16%] 2024-08-20T21:43:23.1069409Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int32 PASSED [0.0135s] [ 16%] 2024-08-20T21:43:23.1070703Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int64 PASSED [0.0136s] [ 16%] 2024-08-20T21:43:23.1072006Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int8 PASSED [0.0134s] [ 16%] 2024-08-20T21:43:23.1073321Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_uint8 PASSED [0.0137s] [ 16%] 2024-08-20T21:43:23.1074600Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float16 PASSED [0.0096s] [ 16%] 2024-08-20T21:43:23.1075865Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float32 PASSED [0.0102s] [ 16%] 2024-08-20T21:43:23.1077121Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float64 PASSED [0.0096s] [ 16%] 2024-08-20T21:43:23.1078373Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bfloat16 PASSED [0.0063s] [ 16%] 2024-08-20T21:43:23.1079588Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bool PASSED [0.0061s] [ 16%] 2024-08-20T21:43:23.1080833Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex128 PASSED [0.0063s] [ 16%] 2024-08-20T21:43:23.1082137Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex32 PASSED [0.0062s] [ 16%] 2024-08-20T21:43:23.1083398Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex64 PASSED [0.0061s] [ 16%] 2024-08-20T21:43:23.1084647Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float16 PASSED [0.0063s] [ 16%] 2024-08-20T21:43:23.1085883Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float32 PASSED [0.0061s] [ 16%] 2024-08-20T21:43:23.1087120Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float64 PASSED [0.0063s] [ 16%] 2024-08-20T21:43:23.1088596Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int16 PASSED [0.0062s] [ 16%] 2024-08-20T21:43:23.1089822Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int32 PASSED [0.0064s] [ 16%] 2024-08-20T21:43:23.1091108Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int64 PASSED [0.0061s] [ 16%] 2024-08-20T21:43:23.1092321Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int8 PASSED [0.0063s] [ 16%] 2024-08-20T21:43:23.1093526Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_uint8 PASSED [0.0061s] [ 16%] 2024-08-20T21:43:23.1094820Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bfloat16 PASSED [0.0052s] [ 16%] 2024-08-20T21:43:23.1096146Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bool PASSED [0.0051s] [ 16%] 2024-08-20T21:43:23.1097494Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex128 PASSED [0.0051s] [ 16%] 2024-08-20T21:43:23.1098851Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex32 PASSED [0.0052s] [ 16%] 2024-08-20T21:43:23.1100208Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex64 PASSED [0.0051s] [ 16%] 2024-08-20T21:43:23.1101637Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float16 PASSED [0.0052s] [ 16%] 2024-08-20T21:43:23.1103004Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float32 PASSED [0.0051s] [ 16%] 2024-08-20T21:43:23.1104344Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float64 PASSED [0.0057s] [ 16%] 2024-08-20T21:43:23.1105664Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int16 PASSED [0.0050s] [ 16%] 2024-08-20T21:43:23.1106986Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int32 PASSED [0.0053s] [ 16%] 2024-08-20T21:43:23.1108299Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int64 PASSED [0.0050s] [ 16%] 2024-08-20T21:43:23.1109615Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int8 PASSED [0.0052s] [ 16%] 2024-08-20T21:43:23.1110926Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_uint8 PASSED [0.0051s] [ 16%] 2024-08-20T21:43:23.1112281Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bfloat16 PASSED [0.0298s] [ 16%] 2024-08-20T21:43:23.1113613Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bool PASSED [0.0300s] [ 16%] 2024-08-20T21:43:23.1114983Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex128 PASSED [0.0303s] [ 16%] 2024-08-20T21:43:23.1116386Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex64 PASSED [0.0306s] [ 16%] 2024-08-20T21:43:23.1117774Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float16 PASSED [0.0298s] [ 16%] 2024-08-20T21:43:23.1119170Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float32 PASSED [0.0300s] [ 16%] 2024-08-20T21:43:23.1120538Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float64 PASSED [0.0295s] [ 16%] 2024-08-20T21:43:23.1121895Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int16 PASSED [0.0301s] [ 17%] 2024-08-20T21:43:23.1123241Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int32 PASSED [0.0300s] [ 17%] 2024-08-20T21:43:23.1124584Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int64 PASSED [0.0299s] [ 17%] 2024-08-20T21:43:23.1126255Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int8 PASSED [0.0303s] [ 17%] 2024-08-20T21:43:23.1127629Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_uint8 PASSED [0.0299s] [ 17%] 2024-08-20T21:43:23.1128959Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bfloat16 PASSED [0.0059s] [ 17%] 2024-08-20T21:43:23.1130283Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bool PASSED [0.0056s] [ 17%] 2024-08-20T21:43:23.1131615Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex128 PASSED [0.0058s] [ 17%] 2024-08-20T21:43:23.1132980Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex32 PASSED [0.0057s] [ 17%] 2024-08-20T21:43:23.1134320Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex64 PASSED [0.0062s] [ 17%] 2024-08-20T21:43:23.1135655Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float16 PASSED [0.0056s] [ 17%] 2024-08-20T21:43:23.1136982Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float32 PASSED [0.0056s] [ 17%] 2024-08-20T21:43:23.1138303Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float64 PASSED [0.0058s] [ 17%] 2024-08-20T21:43:23.1139649Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int16 PASSED [0.0056s] [ 17%] 2024-08-20T21:43:23.1141053Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int32 PASSED [0.0058s] [ 17%] 2024-08-20T21:43:23.1142359Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int64 PASSED [0.0056s] [ 17%] 2024-08-20T21:43:23.1143642Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int8 PASSED [0.0058s] [ 17%] 2024-08-20T21:43:23.1144946Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_uint8 PASSED [0.0056s] [ 17%] 2024-08-20T21:43:23.1146262Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bfloat16 PASSED [0.0097s] [ 17%] 2024-08-20T21:43:23.1147556Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bool PASSED [0.0094s] [ 17%] 2024-08-20T21:43:23.1148841Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float16 PASSED [0.0097s] [ 17%] 2024-08-20T21:43:23.1150147Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float32 PASSED [0.0094s] [ 17%] 2024-08-20T21:43:23.1151444Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float64 PASSED [0.0094s] [ 17%] 2024-08-20T21:43:23.1152731Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int16 PASSED [0.0097s] [ 17%] 2024-08-20T21:43:23.1154002Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int32 PASSED [0.0094s] [ 17%] 2024-08-20T21:43:23.1155334Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int64 PASSED [0.0097s] [ 17%] 2024-08-20T21:43:23.1156613Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int8 PASSED [0.0094s] [ 17%] 2024-08-20T21:43:23.1157223Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_uint8 PASSED [0.0096s] [ 17%] 2024-08-20T21:43:23.1157859Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_bfloat16 PASSED [0.0066s] [ 17%] 2024-08-20T21:43:23.1158495Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex128 PASSED [0.0068s] [ 17%] 2024-08-20T21:43:23.1159124Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex64 PASSED [0.0066s] [ 17%] 2024-08-20T21:43:23.1159810Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float16 PASSED [0.0066s] [ 17%] 2024-08-20T21:43:23.1160432Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float32 PASSED [0.0067s] [ 17%] 2024-08-20T21:43:23.1161049Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float64 PASSED [0.0065s] [ 17%] 2024-08-20T21:43:23.1161667Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int16 PASSED [0.0068s] [ 17%] 2024-08-20T21:43:23.1162265Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int32 PASSED [0.0066s] [ 17%] 2024-08-20T21:43:23.1162873Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int64 PASSED [0.0068s] [ 17%] 2024-08-20T21:43:23.1163468Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int8 PASSED [0.0066s] [ 17%] 2024-08-20T21:43:23.1164071Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_uint8 PASSED [0.0068s] [ 17%] 2024-08-20T21:43:23.1164677Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bfloat16 PASSED [0.0061s] [ 17%] 2024-08-20T21:43:23.1165245Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bool PASSED [0.0062s] [ 17%] 2024-08-20T21:43:23.1166125Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex128 PASSED [0.0061s] [ 17%] 2024-08-20T21:43:23.1166725Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex64 PASSED [0.0061s] [ 17%] 2024-08-20T21:43:23.1167312Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float16 PASSED [0.0062s] [ 17%] 2024-08-20T21:43:23.1167904Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float32 PASSED [0.0061s] [ 17%] 2024-08-20T21:43:23.1168494Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float64 PASSED [0.0063s] [ 17%] 2024-08-20T21:43:23.1169079Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int16 PASSED [0.0061s] [ 17%] 2024-08-20T21:43:23.1169668Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int32 PASSED [0.0063s] [ 17%] 2024-08-20T21:43:23.1170249Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int64 PASSED [0.0061s] [ 17%] 2024-08-20T21:43:23.1170832Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int8 PASSED [0.0063s] [ 17%] 2024-08-20T21:43:23.1171405Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_uint8 PASSED [0.0061s] [ 17%] 2024-08-20T21:43:23.1172009Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bfloat16 PASSED [0.0063s] [ 17%] 2024-08-20T21:43:23.1172602Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bool PASSED [0.0061s] [ 17%] 2024-08-20T21:43:23.1173248Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex128 PASSED [0.0061s] [ 17%] 2024-08-20T21:43:23.1173863Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex64 PASSED [0.0063s] [ 17%] 2024-08-20T21:43:23.1174455Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float16 PASSED [0.0061s] [ 17%] 2024-08-20T21:43:23.1175041Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float32 PASSED [0.0064s] [ 17%] 2024-08-20T21:43:23.1175640Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float64 PASSED [0.0061s] [ 17%] 2024-08-20T21:43:23.1176218Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int16 PASSED [0.0067s] [ 17%] 2024-08-20T21:43:23.1176878Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int32 PASSED [0.0061s] [ 17%] 2024-08-20T21:43:23.1177466Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int64 PASSED [0.0063s] [ 18%] 2024-08-20T21:43:23.1178039Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int8 PASSED [0.0061s] [ 18%] 2024-08-20T21:43:23.1178629Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_uint8 PASSED [0.0062s] [ 18%] 2024-08-20T21:43:23.1179289Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bfloat16 PASSED [0.0145s] [ 18%] 2024-08-20T21:43:23.1179920Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bool PASSED [0.0145s] [ 18%] 2024-08-20T21:43:23.1180595Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex128 PASSED [0.0147s] [ 18%] 2024-08-20T21:43:23.1181340Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex64 PASSED [0.0145s] [ 18%] 2024-08-20T21:43:23.1182009Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float16 PASSED [0.0148s] [ 18%] 2024-08-20T21:43:23.1182660Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float32 PASSED [0.0145s] [ 18%] 2024-08-20T21:43:23.1183342Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float64 PASSED [0.0148s] [ 18%] 2024-08-20T21:43:23.1183988Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int16 PASSED [0.0145s] [ 18%] 2024-08-20T21:43:23.1184622Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int32 PASSED [0.0146s] [ 18%] 2024-08-20T21:43:23.1185271Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int64 PASSED [0.0144s] [ 18%] 2024-08-20T21:43:23.1185907Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int8 PASSED [0.0144s] [ 18%] 2024-08-20T21:43:23.1186541Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_uint8 PASSED [0.0151s] [ 18%] 2024-08-20T21:43:23.1187148Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_bfloat16 PASSED [0.0248s] [ 18%] 2024-08-20T21:43:23.1187754Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex128 PASSED [0.0250s] [ 18%] 2024-08-20T21:43:23.1188557Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex64 PASSED [0.0247s] [ 18%] 2024-08-20T21:43:23.1189151Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float16 PASSED [0.0249s] [ 18%] 2024-08-20T21:43:23.1189737Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float32 PASSED [0.0247s] [ 18%] 2024-08-20T21:43:23.1190338Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float64 PASSED [0.0250s] [ 18%] 2024-08-20T21:43:23.1190959Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int16 PASSED [0.0245s] [ 18%] 2024-08-20T21:43:23.1191534Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int32 PASSED [0.0247s] [ 18%] 2024-08-20T21:43:23.1192129Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int64 PASSED [0.0248s] [ 18%] 2024-08-20T21:43:23.1192700Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int8 PASSED [0.0246s] [ 18%] 2024-08-20T21:43:23.1193284Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_uint8 PASSED [0.0251s] [ 18%] 2024-08-20T21:43:23.1193891Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_bfloat16 PASSED [0.0063s] [ 18%] 2024-08-20T21:43:23.1194563Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex128 PASSED [0.0065s] [ 18%] 2024-08-20T21:43:23.1195192Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex64 PASSED [0.0063s] [ 18%] 2024-08-20T21:43:23.1195792Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float16 PASSED [0.0063s] [ 18%] 2024-08-20T21:43:23.1196401Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float32 PASSED [0.0062s] [ 18%] 2024-08-20T21:43:23.1196992Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float64 PASSED [0.0062s] [ 18%] 2024-08-20T21:43:23.1197579Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int16 PASSED [0.0063s] [ 18%] 2024-08-20T21:43:23.1198176Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int32 PASSED [0.0061s] [ 18%] 2024-08-20T21:43:23.1198760Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int64 PASSED [0.0064s] [ 18%] 2024-08-20T21:43:23.1199354Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int8 PASSED [0.0062s] [ 18%] 2024-08-20T21:43:23.1199941Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_uint8 PASSED [0.0068s] [ 18%] 2024-08-20T21:43:23.1200549Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bfloat16 PASSED [0.0061s] [ 18%] 2024-08-20T21:43:23.1201181Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bool PASSED [0.0063s] [ 18%] 2024-08-20T21:43:23.1201782Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float16 PASSED [0.0062s] [ 18%] 2024-08-20T21:43:23.1202381Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float32 PASSED [0.0063s] [ 18%] 2024-08-20T21:43:23.1202993Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float64 PASSED [0.0061s] [ 18%] 2024-08-20T21:43:23.1203587Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int16 PASSED [0.0062s] [ 18%] 2024-08-20T21:43:23.1204188Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int32 PASSED [0.0063s] [ 18%] 2024-08-20T21:43:23.1204775Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int64 PASSED [0.0061s] [ 18%] 2024-08-20T21:43:23.1205363Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int8 PASSED [0.0063s] [ 18%] 2024-08-20T21:43:23.1205967Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_uint8 PASSED [0.0061s] [ 18%] 2024-08-20T21:43:23.1206577Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bfloat16 PASSED [0.0063s] [ 18%] 2024-08-20T21:43:23.1207172Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bool PASSED [0.0061s] [ 18%] 2024-08-20T21:43:23.1207780Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float16 PASSED [0.0063s] [ 18%] 2024-08-20T21:43:23.1208412Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float32 PASSED [0.0061s] [ 18%] 2024-08-20T21:43:23.1209022Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float64 PASSED [0.0062s] [ 18%] 2024-08-20T21:43:23.1209616Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int16 PASSED [0.0061s] [ 18%] 2024-08-20T21:43:23.1210218Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int32 PASSED [0.0061s] [ 18%] 2024-08-20T21:43:23.1210804Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int64 PASSED [0.0062s] [ 18%] 2024-08-20T21:43:23.1211386Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int8 PASSED [0.0061s] [ 18%] 2024-08-20T21:43:23.1212035Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_uint8 PASSED [0.0063s] [ 18%] 2024-08-20T21:43:23.1212659Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_bfloat16 PASSED [0.0100s] [ 18%] 2024-08-20T21:43:23.1213295Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex128 PASSED [0.0106s] [ 18%] 2024-08-20T21:43:23.1213935Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex64 PASSED [0.0100s] [ 19%] 2024-08-20T21:43:23.1214543Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float16 PASSED [0.0101s] [ 19%] 2024-08-20T21:43:23.1215160Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float32 PASSED [0.0099s] [ 19%] 2024-08-20T21:43:23.1215758Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float64 PASSED [0.0101s] [ 19%] 2024-08-20T21:43:23.1216358Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int16 PASSED [0.0099s] [ 19%] 2024-08-20T21:43:23.1216969Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int32 PASSED [0.0099s] [ 19%] 2024-08-20T21:43:23.1217561Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int64 PASSED [0.0100s] [ 19%] 2024-08-20T21:43:23.1218196Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int8 PASSED [0.0099s] [ 19%] 2024-08-20T21:43:23.1218788Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_uint8 PASSED [0.0101s] [ 19%] 2024-08-20T21:43:23.1219395Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_bfloat16 PASSED [0.0067s] [ 19%] 2024-08-20T21:43:23.1220030Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex128 PASSED [0.0069s] [ 19%] 2024-08-20T21:43:23.1220656Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex64 PASSED [0.0067s] [ 19%] 2024-08-20T21:43:23.1221351Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float16 PASSED [0.0069s] [ 19%] 2024-08-20T21:43:23.1221964Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float32 PASSED [0.0067s] [ 19%] 2024-08-20T21:43:23.1222568Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float64 PASSED [0.0068s] [ 19%] 2024-08-20T21:43:23.1223175Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int16 PASSED [0.0066s] [ 19%] 2024-08-20T21:43:23.1223765Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int32 PASSED [0.0066s] [ 19%] 2024-08-20T21:43:23.1224353Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int64 PASSED [0.0067s] [ 19%] 2024-08-20T21:43:23.1224961Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int8 PASSED [0.0066s] [ 19%] 2024-08-20T21:43:23.1225589Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_uint8 PASSED [0.0068s] [ 19%] 2024-08-20T21:43:23.1226505Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_bfloat16 PASSED [0.0093s] [ 19%] 2024-08-20T21:43:23.1227222Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex128 PASSED [0.0101s] [ 19%] 2024-08-20T21:43:23.1227925Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex64 PASSED [0.0094s] [ 19%] 2024-08-20T21:43:23.1228629Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float16 PASSED [0.0096s] [ 19%] 2024-08-20T21:43:23.1229411Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float32 PASSED [0.0093s] [ 19%] 2024-08-20T21:43:23.1230112Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float64 PASSED [0.0095s] [ 19%] 2024-08-20T21:43:23.1230791Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int16 PASSED [0.0093s] [ 19%] 2024-08-20T21:43:23.1231473Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int32 PASSED [0.0093s] [ 19%] 2024-08-20T21:43:23.1232169Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int64 PASSED [0.0095s] [ 19%] 2024-08-20T21:43:23.1232848Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int8 PASSED [0.0093s] [ 19%] 2024-08-20T21:43:23.1233536Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_uint8 PASSED [0.0095s] [ 19%] 2024-08-20T21:43:23.1234164Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bfloat16 PASSED [0.0051s] [ 19%] 2024-08-20T21:43:23.1234763Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bool PASSED [0.0052s] [ 19%] 2024-08-20T21:43:23.1235388Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float16 PASSED [0.0051s] [ 19%] 2024-08-20T21:43:23.1236066Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float32 PASSED [0.0053s] [ 19%] 2024-08-20T21:43:23.1236679Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float64 PASSED [0.0051s] [ 19%] 2024-08-20T21:43:23.1237279Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int16 PASSED [0.0053s] [ 19%] 2024-08-20T21:43:23.1237870Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int32 PASSED [0.0051s] [ 19%] 2024-08-20T21:43:23.1238475Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int64 PASSED [0.0051s] [ 19%] 2024-08-20T21:43:23.1239069Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int8 PASSED [0.0052s] [ 19%] 2024-08-20T21:43:23.1239659Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_uint8 PASSED [0.0050s] [ 19%] 2024-08-20T21:43:23.1240267Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bfloat16 PASSED [0.0128s] [ 19%] 2024-08-20T21:43:23.1240845Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bool PASSED [0.0124s] [ 19%] 2024-08-20T21:43:23.1241469Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex128 PASSED [0.0133s] [ 19%] 2024-08-20T21:43:23.1242076Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex64 PASSED [0.0125s] [ 19%] 2024-08-20T21:43:23.1242671Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float16 PASSED [0.0127s] [ 19%] 2024-08-20T21:43:23.1243307Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float32 PASSED [0.0125s] [ 19%] 2024-08-20T21:43:23.1243891Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float64 PASSED [0.0128s] [ 19%] 2024-08-20T21:43:23.1244486Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int16 PASSED [0.0126s] [ 19%] 2024-08-20T21:43:23.1245068Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int32 PASSED [0.0126s] [ 19%] 2024-08-20T21:43:23.1245646Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int64 PASSED [0.0127s] [ 19%] 2024-08-20T21:43:23.1246230Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int8 PASSED [0.0125s] [ 19%] 2024-08-20T21:43:23.1246871Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_uint8 PASSED [0.0127s] [ 19%] 2024-08-20T21:43:23.1247512Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bfloat16 PASSED [0.0123s] [ 19%] 2024-08-20T21:43:23.1248133Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bool PASSED [0.0125s] [ 19%] 2024-08-20T21:43:23.1248780Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex128 PASSED [0.0125s] [ 19%] 2024-08-20T21:43:23.1249437Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex32 PASSED [0.0126s] [ 19%] 2024-08-20T21:43:23.1250080Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex64 PASSED [0.0124s] [ 19%] 2024-08-20T21:43:23.1250713Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float16 PASSED [0.0125s] [ 19%] 2024-08-20T21:43:23.1251352Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float32 PASSED [0.0123s] [ 19%] 2024-08-20T21:43:23.1251985Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float64 PASSED [0.0123s] [ 20%] 2024-08-20T21:43:23.1252617Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int16 PASSED [0.0124s] [ 20%] 2024-08-20T21:43:23.1253267Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int32 PASSED [0.0122s] [ 20%] 2024-08-20T21:43:23.1253880Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int64 PASSED [0.0125s] [ 20%] 2024-08-20T21:43:23.1254500Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int8 PASSED [0.0122s] [ 20%] 2024-08-20T21:43:23.1255116Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_uint8 PASSED [0.0129s] [ 20%] 2024-08-20T21:43:23.1255761Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bfloat16 PASSED [0.0072s] [ 20%] 2024-08-20T21:43:23.1256369Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bool PASSED [0.0073s] [ 20%] 2024-08-20T21:43:23.1257006Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex128 PASSED [0.0072s] [ 20%] 2024-08-20T21:43:23.1257650Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex64 PASSED [0.0071s] [ 20%] 2024-08-20T21:43:23.1258265Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float16 PASSED [0.0073s] [ 20%] 2024-08-20T21:43:23.1258894Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float32 PASSED [0.0071s] [ 20%] 2024-08-20T21:43:23.1259511Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float64 PASSED [0.0074s] [ 20%] 2024-08-20T21:43:23.1260121Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int16 PASSED [0.0072s] [ 20%] 2024-08-20T21:43:23.1260765Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int32 PASSED [0.0074s] [ 20%] 2024-08-20T21:43:23.1261459Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int64 PASSED [0.0071s] [ 20%] 2024-08-20T21:43:23.1262067Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int8 PASSED [0.0073s] [ 20%] 2024-08-20T21:43:23.1262684Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_uint8 PASSED [0.0072s] [ 20%] 2024-08-20T21:43:23.1263342Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bfloat16 PASSED [0.0125s] [ 20%] 2024-08-20T21:43:23.1263984Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bool PASSED [0.0122s] [ 20%] 2024-08-20T21:43:23.1264708Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex128 PASSED [0.0125s] [ 20%] 2024-08-20T21:43:23.1265376Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex32 PASSED [0.0126s] [ 20%] 2024-08-20T21:43:23.1266044Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex64 PASSED [0.0124s] [ 20%] 2024-08-20T21:43:23.1266690Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float16 PASSED [0.0125s] [ 20%] 2024-08-20T21:43:23.1267359Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float32 PASSED [0.0123s] [ 20%] 2024-08-20T21:43:23.1267999Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float64 PASSED [0.0125s] [ 20%] 2024-08-20T21:43:23.1268639Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int16 PASSED [0.0123s] [ 20%] 2024-08-20T21:43:23.1269291Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int32 PASSED [0.0129s] [ 20%] 2024-08-20T21:43:23.1269924Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int64 PASSED [0.0123s] [ 20%] 2024-08-20T21:43:23.1270600Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int8 PASSED [0.0123s] [ 20%] 2024-08-20T21:43:23.1271234Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_uint8 PASSED [0.0125s] [ 20%] 2024-08-20T21:43:23.1271861Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bfloat16 PASSED [0.0124s] [ 20%] 2024-08-20T21:43:23.1272472Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bool PASSED [0.0125s] [ 20%] 2024-08-20T21:43:23.1273112Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex128 PASSED [0.0125s] [ 20%] 2024-08-20T21:43:23.1273749Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex32 PASSED [0.0127s] [ 20%] 2024-08-20T21:43:23.1274392Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex64 PASSED [0.0125s] [ 20%] 2024-08-20T21:43:23.1275013Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float16 PASSED [0.0125s] [ 20%] 2024-08-20T21:43:23.1275639Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float32 PASSED [0.0123s] [ 20%] 2024-08-20T21:43:23.1276257Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float64 PASSED [0.0123s] [ 20%] 2024-08-20T21:43:23.1276861Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int16 PASSED [0.0126s] [ 20%] 2024-08-20T21:43:23.1277479Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int32 PASSED [0.0123s] [ 20%] 2024-08-20T21:43:23.1278102Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int64 PASSED [0.0125s] [ 20%] 2024-08-20T21:43:23.1278711Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int8 PASSED [0.0123s] [ 20%] 2024-08-20T21:43:23.1279310Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_uint8 PASSED [0.0125s] [ 20%] 2024-08-20T21:43:23.1279979Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bfloat16 PASSED [0.0129s] [ 20%] 2024-08-20T21:43:23.1280640Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bool PASSED [0.0129s] [ 20%] 2024-08-20T21:43:23.1281323Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex128 PASSED [0.0130s] [ 20%] 2024-08-20T21:43:23.1282064Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex64 PASSED [0.0130s] [ 20%] 2024-08-20T21:43:23.1282734Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float16 PASSED [0.0134s] [ 20%] 2024-08-20T21:43:23.1283440Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float32 PASSED [0.0127s] [ 20%] 2024-08-20T21:43:23.1284119Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float64 PASSED [0.0130s] [ 20%] 2024-08-20T21:43:23.1284771Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int16 PASSED [0.0128s] [ 20%] 2024-08-20T21:43:23.1285431Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int32 PASSED [0.0131s] [ 20%] 2024-08-20T21:43:23.1286083Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int64 PASSED [0.0128s] [ 20%] 2024-08-20T21:43:23.1286730Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int8 PASSED [0.0130s] [ 20%] 2024-08-20T21:43:23.1287385Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_uint8 PASSED [0.0128s] [ 20%] 2024-08-20T21:43:23.1288013Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bfloat16 PASSED [0.0387s] [ 20%] 2024-08-20T21:43:23.1288793Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bool PASSED [0.0386s] [ 20%] 2024-08-20T21:43:23.1289420Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex128 PASSED [0.0393s] [ 20%] 2024-08-20T21:43:23.1290026Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex64 PASSED [0.0396s] [ 21%] 2024-08-20T21:43:23.1290637Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float16 PASSED [0.0384s] [ 21%] 2024-08-20T21:43:23.1291227Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float32 PASSED [0.0388s] [ 21%] 2024-08-20T21:43:23.1291810Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float64 PASSED [0.0387s] [ 21%] 2024-08-20T21:43:23.1292410Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int16 PASSED [0.0386s] [ 21%] 2024-08-20T21:43:23.1292992Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int32 PASSED [0.0384s] [ 21%] 2024-08-20T21:43:23.1293582Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int64 PASSED [0.0384s] [ 21%] 2024-08-20T21:43:23.1294156Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int8 PASSED [0.0391s] [ 21%] 2024-08-20T21:43:23.1294738Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_uint8 PASSED [0.0383s] [ 21%] 2024-08-20T21:43:23.1295406Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bfloat16 PASSED [0.0065s] [ 21%] 2024-08-20T21:43:23.1295998Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bool PASSED [0.0061s] [ 21%] 2024-08-20T21:43:23.1296621Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float16 PASSED [0.0068s] [ 21%] 2024-08-20T21:43:23.1297227Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float32 PASSED [0.0061s] [ 21%] 2024-08-20T21:43:23.1297826Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float64 PASSED [0.0062s] [ 21%] 2024-08-20T21:43:23.1298436Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int16 PASSED [0.0061s] [ 21%] 2024-08-20T21:43:23.1299081Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int32 PASSED [0.0061s] [ 21%] 2024-08-20T21:43:23.1299679Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int64 PASSED [0.0063s] [ 21%] 2024-08-20T21:43:23.1300282Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int8 PASSED [0.0061s] [ 21%] 2024-08-20T21:43:23.1300874Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_uint8 PASSED [0.0063s] [ 21%] 2024-08-20T21:43:23.1301580Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_bfloat16 PASSED [0.0313s] [ 21%] 2024-08-20T21:43:23.1302186Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex128 PASSED [0.0324s] [ 21%] 2024-08-20T21:43:23.1302794Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex64 PASSED [0.0320s] [ 21%] 2024-08-20T21:43:23.1303401Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float16 PASSED [0.0316s] [ 21%] 2024-08-20T21:43:23.1303989Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float32 PASSED [0.0311s] [ 21%] 2024-08-20T21:43:23.1304585Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float64 PASSED [0.0315s] [ 21%] 2024-08-20T21:43:23.1305266Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_bfloat16 PASSED [0.0102s] [ 21%] 2024-08-20T21:43:23.1305980Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float16 PASSED [0.0101s] [ 21%] 2024-08-20T21:43:23.1306671Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float32 PASSED [0.0103s] [ 21%] 2024-08-20T21:43:23.1307346Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float64 PASSED [0.0101s] [ 21%] 2024-08-20T21:43:23.1308026Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int16 PASSED [0.0103s] [ 21%] 2024-08-20T21:43:23.1308688Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int32 PASSED [0.0101s] [ 21%] 2024-08-20T21:43:23.1309350Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int64 PASSED [0.0102s] [ 21%] 2024-08-20T21:43:23.1310020Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int8 PASSED [0.0101s] [ 21%] 2024-08-20T21:43:23.1310676Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_uint8 PASSED [0.0107s] [ 21%] 2024-08-20T21:43:23.1311381Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bfloat16 PASSED [0.0101s] [ 21%] 2024-08-20T21:43:23.1312046Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bool PASSED [0.0100s] [ 21%] 2024-08-20T21:43:23.1312747Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex128 PASSED [0.0104s] [ 21%] 2024-08-20T21:43:23.1313495Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex64 PASSED [0.0102s] [ 21%] 2024-08-20T21:43:23.1314176Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float16 PASSED [0.0103s] [ 21%] 2024-08-20T21:43:23.1314850Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float32 PASSED [0.0101s] [ 21%] 2024-08-20T21:43:23.1315532Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float64 PASSED [0.0103s] [ 21%] 2024-08-20T21:43:23.1316200Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int16 PASSED [0.0101s] [ 21%] 2024-08-20T21:43:23.1316936Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int32 PASSED [0.0103s] [ 21%] 2024-08-20T21:43:23.1317617Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int64 PASSED [0.0099s] [ 21%] 2024-08-20T21:43:23.1318282Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int8 PASSED [0.0102s] [ 21%] 2024-08-20T21:43:23.1318969Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_uint8 PASSED [0.0101s] [ 21%] 2024-08-20T21:43:23.1319648Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_bfloat16 PASSED [0.0101s] [ 21%] 2024-08-20T21:43:23.1320329Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float16 PASSED [0.0103s] [ 21%] 2024-08-20T21:43:23.1321002Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float32 PASSED [0.0101s] [ 21%] 2024-08-20T21:43:23.1321672Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float64 PASSED [0.0103s] [ 21%] 2024-08-20T21:43:23.1322348Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int16 PASSED [0.0101s] [ 21%] 2024-08-20T21:43:23.1323009Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int32 PASSED [0.0103s] [ 21%] 2024-08-20T21:43:23.1323707Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int64 PASSED [0.0100s] [ 21%] 2024-08-20T21:43:23.1324364Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int8 PASSED [0.0103s] [ 21%] 2024-08-20T21:43:23.1325025Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_uint8 PASSED [0.0100s] [ 21%] 2024-08-20T21:43:23.1325636Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_bfloat16 PASSED [0.0051s] [ 21%] 2024-08-20T21:43:23.1326452Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex128 PASSED [0.0059s] [ 21%] 2024-08-20T21:43:23.1327065Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex64 PASSED [0.0056s] [ 21%] 2024-08-20T21:43:23.1327655Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float16 PASSED [0.0053s] [ 21%] 2024-08-20T21:43:23.1328241Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float32 PASSED [0.0051s] [ 21%] 2024-08-20T21:43:23.1328841Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float64 PASSED [0.0053s] [ 22%] 2024-08-20T21:43:23.1329419Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int16 PASSED [0.0051s] [ 22%] 2024-08-20T21:43:23.1330002Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int32 PASSED [0.0053s] [ 22%] 2024-08-20T21:43:23.1330705Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int64 PASSED [0.0051s] [ 22%] 2024-08-20T21:43:23.1331272Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int8 PASSED [0.0053s] [ 22%] 2024-08-20T21:43:23.1331861Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_uint8 PASSED [0.0051s] [ 22%] 2024-08-20T21:43:23.1332479Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bfloat16 PASSED [0.0072s] [ 22%] 2024-08-20T21:43:23.1333069Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bool PASSED [0.0073s] [ 22%] 2024-08-20T21:43:23.1333703Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex128 PASSED [0.0072s] [ 22%] 2024-08-20T21:43:23.1334397Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex32 PASSED [0.0074s] [ 22%] 2024-08-20T21:43:23.1335029Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex64 PASSED [0.0072s] [ 22%] 2024-08-20T21:43:23.1335635Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float16 PASSED [0.0073s] [ 22%] 2024-08-20T21:43:23.1336237Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float32 PASSED [0.0071s] [ 22%] 2024-08-20T21:43:23.1336848Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float64 PASSED [0.0073s] [ 22%] 2024-08-20T21:43:23.1337439Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int16 PASSED [0.0071s] [ 22%] 2024-08-20T21:43:23.1338037Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int32 PASSED [0.0073s] [ 22%] 2024-08-20T21:43:23.1338624Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int64 PASSED [0.0071s] [ 22%] 2024-08-20T21:43:23.1339208Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int8 PASSED [0.0071s] [ 22%] 2024-08-20T21:43:23.1339822Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_uint8 PASSED [0.0073s] [ 22%] 2024-08-20T21:43:23.1340433Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bfloat16 PASSED [0.0056s] [ 22%] 2024-08-20T21:43:23.1341135Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bool PASSED [0.0057s] [ 22%] 2024-08-20T21:43:23.1341784Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex128 PASSED [0.0056s] [ 22%] 2024-08-20T21:43:23.1342402Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex32 PASSED [0.0058s] [ 22%] 2024-08-20T21:43:23.1343044Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex64 PASSED [0.0056s] [ 22%] 2024-08-20T21:43:23.1343651Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float16 PASSED [0.0058s] [ 22%] 2024-08-20T21:43:23.1344257Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float32 PASSED [0.0056s] [ 22%] 2024-08-20T21:43:23.1344875Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float64 PASSED [0.0057s] [ 22%] 2024-08-20T21:43:23.1345469Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int16 PASSED [0.0056s] [ 22%] 2024-08-20T21:43:23.1346072Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int32 PASSED [0.0056s] [ 22%] 2024-08-20T21:43:23.1346661Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int64 PASSED [0.0057s] [ 22%] 2024-08-20T21:43:23.1347245Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int8 PASSED [0.0056s] [ 22%] 2024-08-20T21:43:23.1347851Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_uint8 PASSED [0.0058s] [ 22%] 2024-08-20T21:43:23.1348495Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bfloat16 PASSED [0.0056s] [ 22%] 2024-08-20T21:43:23.1349093Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bool PASSED [0.0059s] [ 22%] 2024-08-20T21:43:23.1349724Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex128 PASSED [0.0057s] [ 22%] 2024-08-20T21:43:23.1350345Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex32 PASSED [0.0059s] [ 22%] 2024-08-20T21:43:23.1350973Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex64 PASSED [0.0057s] [ 22%] 2024-08-20T21:43:23.1351578Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float16 PASSED [0.0058s] [ 22%] 2024-08-20T21:43:23.1352230Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float32 PASSED [0.0056s] [ 22%] 2024-08-20T21:43:23.1352851Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float64 PASSED [0.0056s] [ 22%] 2024-08-20T21:43:23.1353445Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int16 PASSED [0.0058s] [ 22%] 2024-08-20T21:43:23.1354052Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int32 PASSED [0.0056s] [ 22%] 2024-08-20T21:43:23.1354638Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int64 PASSED [0.0059s] [ 22%] 2024-08-20T21:43:23.1355225Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int8 PASSED [0.0056s] [ 22%] 2024-08-20T21:43:23.1355827Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_uint8 PASSED [0.0058s] [ 22%] 2024-08-20T21:43:23.1356443Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_bfloat16 PASSED [0.0102s] [ 22%] 2024-08-20T21:43:23.1357078Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex128 PASSED [0.0104s] [ 22%] 2024-08-20T21:43:23.1357694Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex64 PASSED [0.0102s] [ 22%] 2024-08-20T21:43:23.1358331Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float16 PASSED [0.0101s] [ 22%] 2024-08-20T21:43:23.1358938Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float32 PASSED [0.0103s] [ 22%] 2024-08-20T21:43:23.1359533Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float64 PASSED [0.0101s] [ 22%] 2024-08-20T21:43:23.1360135Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int16 PASSED [0.0103s] [ 22%] 2024-08-20T21:43:23.1360724Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int32 PASSED [0.0101s] [ 22%] 2024-08-20T21:43:23.1361308Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int64 PASSED [0.0104s] [ 22%] 2024-08-20T21:43:23.1361901Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int8 PASSED [0.0102s] [ 22%] 2024-08-20T21:43:23.1362497Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_uint8 PASSED [0.0103s] [ 22%] 2024-08-20T21:43:23.1363098Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bfloat16 PASSED [0.0078s] [ 22%] 2024-08-20T21:43:23.1363693Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bool PASSED [0.0077s] [ 22%] 2024-08-20T21:43:23.1364307Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex128 PASSED [0.0079s] [ 22%] 2024-08-20T21:43:23.1364938Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex32 PASSED [0.0077s] [ 23%] 2024-08-20T21:43:23.1365581Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex64 PASSED [0.0083s] [ 23%] 2024-08-20T21:43:23.1366180Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float16 PASSED [0.0077s] [ 23%] 2024-08-20T21:43:23.1366789Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float32 PASSED [0.2059s] [ 23%] 2024-08-20T21:43:23.1367380Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float64 PASSED [0.0081s] [ 23%] 2024-08-20T21:43:23.1367980Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int16 PASSED [0.0077s] [ 23%] 2024-08-20T21:43:23.1368565Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int32 PASSED [0.0079s] [ 23%] 2024-08-20T21:43:23.1369196Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int64 PASSED [0.0077s] [ 23%] 2024-08-20T21:43:23.1369799Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int8 PASSED [0.0079s] [ 23%] 2024-08-20T21:43:23.1370379Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_uint8 PASSED [0.0077s] [ 23%] 2024-08-20T21:43:23.1371029Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bfloat16 PASSED [0.0083s] [ 23%] 2024-08-20T21:43:23.1371641Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bool PASSED [0.0084s] [ 23%] 2024-08-20T21:43:23.1372285Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex128 PASSED [0.0083s] [ 23%] 2024-08-20T21:43:23.1372937Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex32 PASSED [0.0085s] [ 23%] 2024-08-20T21:43:23.1373581Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex64 PASSED [0.0084s] [ 23%] 2024-08-20T21:43:23.1374209Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float16 PASSED [0.0085s] [ 23%] 2024-08-20T21:43:23.1374850Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float32 PASSED [0.0082s] [ 23%] 2024-08-20T21:43:23.1375525Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float64 PASSED [0.0084s] [ 23%] 2024-08-20T21:43:23.1376148Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int16 PASSED [0.0082s] [ 23%] 2024-08-20T21:43:23.1376763Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int32 PASSED [0.0082s] [ 23%] 2024-08-20T21:43:23.1377376Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int64 PASSED [0.0084s] [ 23%] 2024-08-20T21:43:23.1378002Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int8 PASSED [0.0082s] [ 23%] 2024-08-20T21:43:23.1378615Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_uint8 PASSED [0.0084s] [ 23%] 2024-08-20T21:43:23.1379282Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bfloat16 PASSED [0.0253s] [ 23%] 2024-08-20T21:43:23.1379919Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bool PASSED [0.0258s] [ 23%] 2024-08-20T21:43:23.1380590Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex128 PASSED [0.0255s] [ 23%] 2024-08-20T21:43:23.1381367Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex32 PASSED [0.0255s] [ 23%] 2024-08-20T21:43:23.1382043Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex64 PASSED [0.0256s] [ 23%] 2024-08-20T21:43:23.1382742Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float16 PASSED [0.0253s] [ 23%] 2024-08-20T21:43:23.1383394Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float32 PASSED [0.0256s] [ 23%] 2024-08-20T21:43:23.1384042Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float64 PASSED [0.0253s] [ 23%] 2024-08-20T21:43:23.1384698Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int16 PASSED [0.0256s] [ 23%] 2024-08-20T21:43:23.1385335Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int32 PASSED [0.0254s] [ 23%] 2024-08-20T21:43:23.1385977Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int64 PASSED [0.0253s] [ 23%] 2024-08-20T21:43:23.1386661Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int8 PASSED [0.0256s] [ 23%] 2024-08-20T21:43:23.1387309Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_uint8 PASSED [0.0253s] [ 23%] 2024-08-20T21:43:23.1387973Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bfloat16 PASSED [0.0119s] [ 23%] 2024-08-20T21:43:23.1388790Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bool PASSED [0.0088s] [ 23%] 2024-08-20T21:43:23.1389459Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex128 PASSED [0.0093s] [ 23%] 2024-08-20T21:43:23.1390134Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex64 PASSED [0.0087s] [ 23%] 2024-08-20T21:43:23.1390788Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float16 PASSED [0.0087s] [ 23%] 2024-08-20T21:43:23.1391455Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float32 PASSED [0.0090s] [ 23%] 2024-08-20T21:43:23.1392102Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float64 PASSED [0.0087s] [ 23%] 2024-08-20T21:43:23.1392738Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int16 PASSED [0.0089s] [ 23%] 2024-08-20T21:43:23.1393424Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int32 PASSED [0.0087s] [ 23%] 2024-08-20T21:43:23.1394059Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int64 PASSED [0.0097s] [ 23%] 2024-08-20T21:43:23.1394696Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int8 PASSED [0.0088s] [ 23%] 2024-08-20T21:43:23.1395333Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_uint8 PASSED [0.0090s] [ 23%] 2024-08-20T21:43:23.1395918Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bfloat16 PASSED [0.0102s] [ 23%] 2024-08-20T21:43:23.1396494Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bool PASSED [0.0100s] [ 23%] 2024-08-20T21:43:23.1397090Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex128 PASSED [0.0103s] [ 23%] 2024-08-20T21:43:23.1397701Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex32 PASSED [0.0102s] [ 23%] 2024-08-20T21:43:23.1398286Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex64 PASSED [0.0105s] [ 23%] 2024-08-20T21:43:23.1398866Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float16 PASSED [0.0100s] [ 23%] 2024-08-20T21:43:23.1399453Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float32 PASSED [0.0104s] [ 23%] 2024-08-20T21:43:23.1400034Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float64 PASSED [0.0101s] [ 23%] 2024-08-20T21:43:23.1400635Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int16 PASSED [0.0103s] [ 23%] 2024-08-20T21:43:23.1401218Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int32 PASSED [0.0102s] [ 23%] 2024-08-20T21:43:23.1401790Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int64 PASSED [0.0103s] [ 23%] 2024-08-20T21:43:23.1402366Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int8 PASSED [0.0100s] [ 23%] 2024-08-20T21:43:23.1402936Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_uint8 PASSED [0.0100s] [ 24%] 2024-08-20T21:43:23.1403537Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bfloat16 PASSED [0.0092s] [ 24%] 2024-08-20T21:43:23.1404189Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bool PASSED [0.0089s] [ 24%] 2024-08-20T21:43:23.1404813Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex128 PASSED [0.0092s] [ 24%] 2024-08-20T21:43:23.1405433Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex64 PASSED [0.0090s] [ 24%] 2024-08-20T21:43:23.1406033Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float16 PASSED [0.0091s] [ 24%] 2024-08-20T21:43:23.1406623Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float32 PASSED [0.0089s] [ 24%] 2024-08-20T21:43:23.1407229Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float64 PASSED [0.0095s] [ 24%] 2024-08-20T21:43:23.1407813Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int16 PASSED [0.0089s] [ 24%] 2024-08-20T21:43:23.1408413Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int32 PASSED [0.0089s] [ 24%] 2024-08-20T21:43:23.1409001Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int64 PASSED [0.0090s] [ 24%] 2024-08-20T21:43:23.1409582Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int8 PASSED [0.0088s] [ 24%] 2024-08-20T21:43:23.1410208Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_uint8 PASSED [0.0091s] [ 24%] 2024-08-20T21:43:23.1410803Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bfloat16 PASSED [0.0051s] [ 24%] 2024-08-20T21:43:23.1411367Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bool PASSED [0.0053s] [ 24%] 2024-08-20T21:43:23.1411965Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float16 PASSED [0.0051s] [ 24%] 2024-08-20T21:43:23.1412552Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float32 PASSED [0.0053s] [ 24%] 2024-08-20T21:43:23.1413147Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float64 PASSED [0.0051s] [ 24%] 2024-08-20T21:43:23.1413719Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int16 PASSED [0.0053s] [ 24%] 2024-08-20T21:43:23.1414295Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int32 PASSED [0.0051s] [ 24%] 2024-08-20T21:43:23.1414883Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int64 PASSED [0.0051s] [ 24%] 2024-08-20T21:43:23.1415452Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int8 PASSED [0.0053s] [ 24%] 2024-08-20T21:43:23.1416035Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_uint8 PASSED [0.0051s] [ 24%] 2024-08-20T21:43:23.1416640Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bfloat16 PASSED [0.0063s] [ 24%] 2024-08-20T21:43:23.1417242Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bool PASSED [0.0061s] [ 24%] 2024-08-20T21:43:23.1417846Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float16 PASSED [0.0064s] [ 24%] 2024-08-20T21:43:23.1418435Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float32 PASSED [0.0062s] [ 24%] 2024-08-20T21:43:23.1419022Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float64 PASSED [0.0063s] [ 24%] 2024-08-20T21:43:23.1419615Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int16 PASSED [0.0061s] [ 24%] 2024-08-20T21:43:23.1420193Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int32 PASSED [0.0067s] [ 24%] 2024-08-20T21:43:23.1420786Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int64 PASSED [0.0061s] [ 24%] 2024-08-20T21:43:23.1421510Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int8 PASSED [0.0061s] [ 24%] 2024-08-20T21:43:23.1422102Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_uint8 PASSED [0.0063s] [ 24%] 2024-08-20T21:43:23.1422730Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bfloat16 PASSED [0.0051s] [ 24%] 2024-08-20T21:43:23.1423317Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bool PASSED [0.0053s] [ 24%] 2024-08-20T21:43:23.1423934Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float16 PASSED [0.0051s] [ 24%] 2024-08-20T21:43:23.1424533Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float32 PASSED [0.0054s] [ 24%] 2024-08-20T21:43:23.1425133Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float64 PASSED [0.0051s] [ 24%] 2024-08-20T21:43:23.1425943Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int16 PASSED [0.0053s] [ 24%] 2024-08-20T21:43:23.1426543Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int32 PASSED [0.0051s] [ 24%] 2024-08-20T21:43:23.1427141Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int64 PASSED [0.0053s] [ 24%] 2024-08-20T21:43:23.1427799Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int8 PASSED [0.0051s] [ 24%] 2024-08-20T21:43:23.1428389Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_uint8 PASSED [0.0051s] [ 24%] 2024-08-20T21:43:23.1429001Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bfloat16 PASSED [0.0063s] [ 24%] 2024-08-20T21:43:23.1429578Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bool PASSED [0.0062s] [ 24%] 2024-08-20T21:43:23.1430197Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex128 PASSED [0.0064s] [ 24%] 2024-08-20T21:43:23.1430822Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex64 PASSED [0.0062s] [ 24%] 2024-08-20T21:43:23.1431416Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float16 PASSED [0.0064s] [ 24%] 2024-08-20T21:43:23.1432018Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float32 PASSED [0.0062s] [ 24%] 2024-08-20T21:43:23.1432600Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float64 PASSED [0.0063s] [ 24%] 2024-08-20T21:43:23.1433183Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int16 PASSED [0.0061s] [ 24%] 2024-08-20T21:43:23.1433775Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int32 PASSED [0.0068s] [ 24%] 2024-08-20T21:43:23.1434357Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int64 PASSED [0.0061s] [ 24%] 2024-08-20T21:43:23.1434991Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int8 PASSED [0.0061s] [ 24%] 2024-08-20T21:43:23.1435570Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_uint8 PASSED [0.0063s] [ 24%] 2024-08-20T21:43:23.1436162Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bfloat16 PASSED [0.0062s] [ 24%] 2024-08-20T21:43:23.1436743Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bool PASSED [0.0064s] [ 24%] 2024-08-20T21:43:23.1437350Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex128 PASSED [0.0062s] [ 24%] 2024-08-20T21:43:23.1437949Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex64 PASSED [0.0064s] [ 24%] 2024-08-20T21:43:23.1438627Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float16 PASSED [0.0062s] [ 25%] 2024-08-20T21:43:23.1439219Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float32 PASSED [0.0064s] [ 25%] 2024-08-20T21:43:23.1439813Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float64 PASSED [0.0061s] [ 25%] 2024-08-20T21:43:23.1440389Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int16 PASSED [0.0063s] [ 25%] 2024-08-20T21:43:23.1440962Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int32 PASSED [0.0062s] [ 25%] 2024-08-20T21:43:23.1441548Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int64 PASSED [0.0061s] [ 25%] 2024-08-20T21:43:23.1442121Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int8 PASSED [0.0063s] [ 25%] 2024-08-20T21:43:23.1442712Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_uint8 PASSED [0.0062s] [ 25%] 2024-08-20T21:43:23.1443350Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bfloat16 PASSED [0.0064s] [ 25%] 2024-08-20T21:43:23.1443959Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bool PASSED [0.0062s] [ 25%] 2024-08-20T21:43:23.1444646Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex128 PASSED [0.0065s] [ 25%] 2024-08-20T21:43:23.1445283Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex64 PASSED [0.0063s] [ 25%] 2024-08-20T21:43:23.1445917Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float16 PASSED [0.0064s] [ 25%] 2024-08-20T21:43:23.1446535Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float32 PASSED [0.0062s] [ 25%] 2024-08-20T21:43:23.1447161Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float64 PASSED [0.0068s] [ 25%] 2024-08-20T21:43:23.1447789Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int16 PASSED [0.0062s] [ 25%] 2024-08-20T21:43:23.1448392Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int32 PASSED [0.0062s] [ 25%] 2024-08-20T21:43:23.1448991Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int64 PASSED [0.0063s] [ 25%] 2024-08-20T21:43:23.1449608Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int8 PASSED [0.0062s] [ 25%] 2024-08-20T21:43:23.1450208Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_uint8 PASSED [0.0064s] [ 25%] 2024-08-20T21:43:23.1450858Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bfloat16 PASSED [0.0093s] [ 25%] 2024-08-20T21:43:23.1451476Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bool PASSED [0.0095s] [ 25%] 2024-08-20T21:43:23.1452163Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex128 PASSED [0.0094s] [ 25%] 2024-08-20T21:43:23.1452821Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex64 PASSED [0.0096s] [ 25%] 2024-08-20T21:43:23.1453462Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float16 PASSED [0.0093s] [ 25%] 2024-08-20T21:43:23.1454108Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float32 PASSED [0.0094s] [ 25%] 2024-08-20T21:43:23.1454745Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float64 PASSED [0.0092s] [ 25%] 2024-08-20T21:43:23.1455368Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int16 PASSED [0.0093s] [ 25%] 2024-08-20T21:43:23.1456056Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int32 PASSED [0.0094s] [ 25%] 2024-08-20T21:43:23.1456685Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int64 PASSED [0.0093s] [ 25%] 2024-08-20T21:43:23.1457313Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int8 PASSED [0.0095s] [ 25%] 2024-08-20T21:43:23.1457936Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_uint8 PASSED [0.0092s] [ 25%] 2024-08-20T21:43:23.1458550Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bfloat16 PASSED [0.0095s] [ 25%] 2024-08-20T21:43:23.1459152Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bool PASSED [0.0092s] [ 25%] 2024-08-20T21:43:23.1459766Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex128 PASSED [0.0096s] [ 25%] 2024-08-20T21:43:23.1460404Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex64 PASSED [0.0094s] [ 25%] 2024-08-20T21:43:23.1461096Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float16 PASSED [0.0098s] [ 25%] 2024-08-20T21:43:23.1461701Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float32 PASSED [0.0092s] [ 25%] 2024-08-20T21:43:23.1462350Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float64 PASSED [0.0093s] [ 25%] 2024-08-20T21:43:23.1462940Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int16 PASSED [0.0094s] [ 25%] 2024-08-20T21:43:23.1463533Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int32 PASSED [0.0092s] [ 25%] 2024-08-20T21:43:23.1464135Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int64 PASSED [0.0095s] [ 25%] 2024-08-20T21:43:23.1464727Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int8 PASSED [0.0093s] [ 25%] 2024-08-20T21:43:23.1465339Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_uint8 PASSED [0.0095s] [ 25%] 2024-08-20T21:43:23.1465945Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bfloat16 PASSED [0.0051s] [ 25%] 2024-08-20T21:43:23.1466527Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bool PASSED [0.0053s] [ 25%] 2024-08-20T21:43:23.1467152Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex128 PASSED [0.0051s] [ 25%] 2024-08-20T21:43:23.1467766Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex64 PASSED [0.0053s] [ 25%] 2024-08-20T21:43:23.1468375Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float16 PASSED [0.0052s] [ 25%] 2024-08-20T21:43:23.1468970Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float32 PASSED [0.0051s] [ 25%] 2024-08-20T21:43:23.1469588Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float64 PASSED [0.0053s] [ 25%] 2024-08-20T21:43:23.1470187Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int16 PASSED [0.0051s] [ 25%] 2024-08-20T21:43:23.1470776Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int32 PASSED [0.0053s] [ 25%] 2024-08-20T21:43:23.1471361Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int64 PASSED [0.0051s] [ 25%] 2024-08-20T21:43:23.1471954Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int8 PASSED [0.0053s] [ 25%] 2024-08-20T21:43:23.1472542Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_uint8 PASSED [0.0051s] [ 25%] 2024-08-20T21:43:23.1473248Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_bfloat16 PASSED [0.0064s] [ 25%] 2024-08-20T21:43:23.1473890Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float16 PASSED [0.0061s] [ 25%] 2024-08-20T21:43:23.1474525Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float32 PASSED [0.0067s] [ 25%] 2024-08-20T21:43:23.1475172Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float64 PASSED [0.0061s] [ 25%] 2024-08-20T21:43:23.1475764Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bfloat16 PASSED [0.0909s] [ 26%] 2024-08-20T21:43:23.1476341Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bool PASSED [0.0770s] [ 26%] 2024-08-20T21:43:23.1476946Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex128 PASSED [0.0909s] [ 26%] 2024-08-20T21:43:23.1477545Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex64 PASSED [0.0912s] [ 26%] 2024-08-20T21:43:23.1478140Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float16 PASSED [0.0907s] [ 26%] 2024-08-20T21:43:23.1478722Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float32 PASSED [0.0912s] [ 26%] 2024-08-20T21:43:23.1479347Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float64 PASSED [0.0906s] [ 26%] 2024-08-20T21:43:23.1479919Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int16 PASSED [0.0896s] [ 26%] 2024-08-20T21:43:23.1480487Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int32 PASSED [0.0897s] [ 26%] 2024-08-20T21:43:23.1481077Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int64 PASSED [0.0905s] [ 26%] 2024-08-20T21:43:23.1481655Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int8 PASSED [0.0899s] [ 26%] 2024-08-20T21:43:23.1482228Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_uint8 PASSED [0.0909s] [ 26%] 2024-08-20T21:43:23.1482837Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_bool PASSED [0.0086s] [ 26%] 2024-08-20T21:43:23.1483473Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex128 PASSED [0.0088s] [ 26%] 2024-08-20T21:43:23.1484117Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex64 PASSED [0.0085s] [ 26%] 2024-08-20T21:43:23.1484730Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float32 PASSED [0.0086s] [ 26%] 2024-08-20T21:43:23.1485348Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float64 PASSED [0.0085s] [ 26%] 2024-08-20T21:43:23.1485962Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int16 PASSED [0.0084s] [ 26%] 2024-08-20T21:43:23.1486591Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int32 PASSED [0.0086s] [ 26%] 2024-08-20T21:43:23.1487194Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int64 PASSED [0.0084s] [ 26%] 2024-08-20T21:43:23.1487795Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int8 PASSED [0.0086s] [ 26%] 2024-08-20T21:43:23.1488574Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_uint8 PASSED [0.0084s] [ 26%] 2024-08-20T21:43:23.1489188Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_bool PASSED [0.0091s] [ 26%] 2024-08-20T21:43:23.1489820Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex128 PASSED [0.0090s] [ 26%] 2024-08-20T21:43:23.1490524Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex64 PASSED [0.0089s] [ 26%] 2024-08-20T21:43:23.1491135Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float32 PASSED [0.0090s] [ 26%] 2024-08-20T21:43:23.1491732Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float64 PASSED [0.0089s] [ 26%] 2024-08-20T21:43:23.1492346Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int16 PASSED [0.0091s] [ 26%] 2024-08-20T21:43:23.1492935Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int32 PASSED [0.0089s] [ 26%] 2024-08-20T21:43:23.1493519Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int64 PASSED [0.0091s] [ 26%] 2024-08-20T21:43:23.1494122Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int8 PASSED [0.0089s] [ 26%] 2024-08-20T21:43:23.1494709Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_uint8 PASSED [0.0089s] [ 26%] 2024-08-20T21:43:23.1495310Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_bool PASSED [0.0096s] [ 26%] 2024-08-20T21:43:23.1495944Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex128 PASSED [0.0095s] [ 26%] 2024-08-20T21:43:23.1496606Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex64 PASSED [0.0097s] [ 26%] 2024-08-20T21:43:23.1497231Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float32 PASSED [0.0094s] [ 26%] 2024-08-20T21:43:23.1497847Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float64 PASSED [0.0096s] [ 26%] 2024-08-20T21:43:23.1498460Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int16 PASSED [0.0094s] [ 26%] 2024-08-20T21:43:23.1499063Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int32 PASSED [0.0094s] [ 26%] 2024-08-20T21:43:23.1499658Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int64 PASSED [0.0096s] [ 26%] 2024-08-20T21:43:23.1500268Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int8 PASSED [0.0094s] [ 26%] 2024-08-20T21:43:23.1500858Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_uint8 PASSED [0.0097s] [ 26%] 2024-08-20T21:43:23.1501595Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bfloat16 PASSED [0.0072s] [ 26%] 2024-08-20T21:43:23.1502223Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bool PASSED [0.0073s] [ 26%] 2024-08-20T21:43:23.1502884Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex128 PASSED [0.0073s] [ 26%] 2024-08-20T21:43:23.1503559Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex32 PASSED [0.0073s] [ 26%] 2024-08-20T21:43:23.1504250Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex64 PASSED [0.0074s] [ 26%] 2024-08-20T21:43:23.1504892Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float16 PASSED [0.0072s] [ 26%] 2024-08-20T21:43:23.1505552Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float32 PASSED [0.0074s] [ 26%] 2024-08-20T21:43:23.1506188Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float64 PASSED [0.0072s] [ 26%] 2024-08-20T21:43:23.1506826Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int16 PASSED [0.0074s] [ 26%] 2024-08-20T21:43:23.1507454Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int32 PASSED [0.0072s] [ 26%] 2024-08-20T21:43:23.1508162Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int64 PASSED [0.0077s] [ 26%] 2024-08-20T21:43:23.1508801Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int8 PASSED [0.0072s] [ 26%] 2024-08-20T21:43:23.1509422Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_uint8 PASSED [0.0074s] [ 26%] 2024-08-20T21:43:23.1510034Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_bool PASSED [0.0083s] [ 26%] 2024-08-20T21:43:23.1510669Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex128 PASSED [0.0085s] [ 26%] 2024-08-20T21:43:23.1511297Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex64 PASSED [0.0086s] [ 26%] 2024-08-20T21:43:23.1511931Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float32 PASSED [0.0084s] [ 26%] 2024-08-20T21:43:23.1512553Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float64 PASSED [0.0086s] [ 27%] 2024-08-20T21:43:23.1513181Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int16 PASSED [0.0084s] [ 27%] 2024-08-20T21:43:23.1513793Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int32 PASSED [0.0086s] [ 27%] 2024-08-20T21:43:23.1514430Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int64 PASSED [0.0083s] [ 27%] 2024-08-20T21:43:23.1515049Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int8 PASSED [0.0084s] [ 27%] 2024-08-20T21:43:23.1515646Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_uint8 PASSED [0.0086s] [ 27%] 2024-08-20T21:43:23.1516261Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_bool PASSED [0.0088s] [ 27%] 2024-08-20T21:43:23.1516891Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex128 PASSED [0.0093s] [ 27%] 2024-08-20T21:43:23.1517524Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex64 PASSED [0.0089s] [ 27%] 2024-08-20T21:43:23.1518153Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float32 PASSED [0.0091s] [ 27%] 2024-08-20T21:43:23.1518768Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float64 PASSED [0.0089s] [ 27%] 2024-08-20T21:43:23.1519369Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int16 PASSED [0.0089s] [ 27%] 2024-08-20T21:43:23.1519977Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int32 PASSED [0.0091s] [ 27%] 2024-08-20T21:43:23.1520575Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int64 PASSED [0.0089s] [ 27%] 2024-08-20T21:43:23.1521212Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int8 PASSED [0.0094s] [ 27%] 2024-08-20T21:43:23.1521807Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_uint8 PASSED [0.0088s] [ 27%] 2024-08-20T21:43:23.1522395Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_bool PASSED [0.0096s] [ 27%] 2024-08-20T21:43:23.1523050Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex128 PASSED [0.0095s] [ 27%] 2024-08-20T21:43:23.1523687Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex64 PASSED [0.0095s] [ 27%] 2024-08-20T21:43:23.1524317Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float32 PASSED [0.0096s] [ 27%] 2024-08-20T21:43:23.1524988Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float64 PASSED [0.0094s] [ 27%] 2024-08-20T21:43:23.1525600Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int16 PASSED [0.0097s] [ 27%] 2024-08-20T21:43:23.1526414Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int32 PASSED [0.0094s] [ 27%] 2024-08-20T21:43:23.1527016Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int64 PASSED [0.0096s] [ 27%] 2024-08-20T21:43:23.1527631Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int8 PASSED [0.0094s] [ 27%] 2024-08-20T21:43:23.1528233Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_uint8 PASSED [0.0094s] [ 27%] 2024-08-20T21:43:23.1528832Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_bool PASSED [0.0084s] [ 27%] 2024-08-20T21:43:23.1529487Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex128 PASSED [0.0084s] [ 27%] 2024-08-20T21:43:23.1530124Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex64 PASSED [0.0086s] [ 27%] 2024-08-20T21:43:23.1530741Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float32 PASSED [0.0084s] [ 27%] 2024-08-20T21:43:23.1531440Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float64 PASSED [0.0086s] [ 27%] 2024-08-20T21:43:23.1532054Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int16 PASSED [0.0083s] [ 27%] 2024-08-20T21:43:23.1532671Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int32 PASSED [0.0083s] [ 27%] 2024-08-20T21:43:23.1533279Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int64 PASSED [0.0084s] [ 27%] 2024-08-20T21:43:23.1533888Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int8 PASSED [0.0083s] [ 27%] 2024-08-20T21:43:23.1534510Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_uint8 PASSED [0.0089s] [ 27%] 2024-08-20T21:43:23.1535111Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_bool PASSED [0.0088s] [ 27%] 2024-08-20T21:43:23.1535764Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex128 PASSED [0.0093s] [ 27%] 2024-08-20T21:43:23.1536392Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex64 PASSED [0.0090s] [ 27%] 2024-08-20T21:43:23.1537006Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float32 PASSED [0.0089s] [ 27%] 2024-08-20T21:43:23.1537637Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float64 PASSED [0.0091s] [ 27%] 2024-08-20T21:43:23.1538250Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int16 PASSED [0.0089s] [ 27%] 2024-08-20T21:43:23.1538907Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int32 PASSED [0.0091s] [ 27%] 2024-08-20T21:43:23.1539501Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int64 PASSED [0.0089s] [ 27%] 2024-08-20T21:43:23.1540104Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int8 PASSED [0.0091s] [ 27%] 2024-08-20T21:43:23.1540716Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_uint8 PASSED [0.0089s] [ 27%] 2024-08-20T21:43:23.1541403Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_bool PASSED [0.0094s] [ 27%] 2024-08-20T21:43:23.1542049Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex128 PASSED [0.0097s] [ 27%] 2024-08-20T21:43:23.1542770Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex64 PASSED [0.0095s] [ 27%] 2024-08-20T21:43:23.1543391Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float32 PASSED [0.0096s] [ 27%] 2024-08-20T21:43:23.1544027Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float64 PASSED [0.0094s] [ 27%] 2024-08-20T21:43:23.1544635Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int16 PASSED [0.0096s] [ 27%] 2024-08-20T21:43:23.1545238Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int32 PASSED [0.0094s] [ 27%] 2024-08-20T21:43:23.1545851Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int64 PASSED [0.0094s] [ 27%] 2024-08-20T21:43:23.1546454Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int8 PASSED [0.0096s] [ 27%] 2024-08-20T21:43:23.1547069Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_uint8 PASSED [0.0094s] [ 27%] 2024-08-20T21:43:23.1547723Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bfloat16 PASSED [0.0077s] [ 27%] 2024-08-20T21:43:23.1548352Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bool PASSED [0.0071s] [ 27%] 2024-08-20T21:43:23.1549065Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex128 PASSED [0.0074s] [ 27%] 2024-08-20T21:43:23.1549724Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex32 PASSED [0.0072s] [ 27%] 2024-08-20T21:43:23.1550392Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex64 PASSED [0.0074s] [ 28%] 2024-08-20T21:43:23.1551036Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float16 PASSED [0.0072s] [ 28%] 2024-08-20T21:43:23.1551682Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float32 PASSED [0.0071s] [ 28%] 2024-08-20T21:43:23.1552335Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float64 PASSED [0.0073s] [ 28%] 2024-08-20T21:43:23.1552967Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int16 PASSED [0.0071s] [ 28%] 2024-08-20T21:43:23.1553613Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int32 PASSED [0.0074s] [ 28%] 2024-08-20T21:43:23.1554246Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int64 PASSED [0.0072s] [ 28%] 2024-08-20T21:43:23.1554873Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int8 PASSED [0.0074s] [ 28%] 2024-08-20T21:43:23.1555520Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_uint8 PASSED [0.0071s] [ 28%] 2024-08-20T21:43:23.1556166Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_bool PASSED [0.0085s] [ 28%] 2024-08-20T21:43:23.1556796Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float32 PASSED [0.0084s] [ 28%] 2024-08-20T21:43:23.1557431Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float64 PASSED [0.0085s] [ 28%] 2024-08-20T21:43:23.1558052Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int16 PASSED [0.0083s] [ 28%] 2024-08-20T21:43:23.1558677Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int32 PASSED [0.0083s] [ 28%] 2024-08-20T21:43:23.1559288Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int64 PASSED [0.0085s] [ 28%] 2024-08-20T21:43:23.1559940Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int8 PASSED [0.0083s] [ 28%] 2024-08-20T21:43:23.1560570Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_uint8 PASSED [0.0086s] [ 28%] 2024-08-20T21:43:23.1561178Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_bool PASSED [0.0088s] [ 28%] 2024-08-20T21:43:23.1561815Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float32 PASSED [0.0094s] [ 28%] 2024-08-20T21:43:23.1562431Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float64 PASSED [0.0089s] [ 28%] 2024-08-20T21:43:23.1565537Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int16 PASSED [0.0088s] [ 28%] 2024-08-20T21:43:23.1566220Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int32 PASSED [0.0091s] [ 28%] 2024-08-20T21:43:23.1566835Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int64 PASSED [0.0088s] [ 28%] 2024-08-20T21:43:23.1567445Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int8 PASSED [0.0091s] [ 28%] 2024-08-20T21:43:23.1568062Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_uint8 PASSED [0.0088s] [ 28%] 2024-08-20T21:43:23.1568728Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_bool PASSED [0.0095s] [ 28%] 2024-08-20T21:43:23.1569367Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float32 PASSED [0.0094s] [ 28%] 2024-08-20T21:43:23.1571851Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float64 PASSED [0.0094s] [ 28%] 2024-08-20T21:43:23.1572622Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int16 PASSED [0.0096s] [ 28%] 2024-08-20T21:43:23.1573266Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int32 PASSED [0.0094s] [ 28%] 2024-08-20T21:43:23.1573891Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int64 PASSED [0.0096s] [ 28%] 2024-08-20T21:43:23.1574499Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int8 PASSED [0.0094s] [ 28%] 2024-08-20T21:43:23.1575126Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_uint8 PASSED [0.0096s] [ 28%] 2024-08-20T21:43:23.1575735Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_bool PASSED [0.0083s] [ 28%] 2024-08-20T21:43:23.1576398Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex128 PASSED [0.0085s] [ 28%] 2024-08-20T21:43:23.1577038Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex64 PASSED [0.0086s] [ 28%] 2024-08-20T21:43:23.1577670Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float32 PASSED [0.0083s] [ 28%] 2024-08-20T21:43:23.1578382Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float64 PASSED [0.0086s] [ 28%] 2024-08-20T21:43:23.1578999Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int16 PASSED [0.0083s] [ 28%] 2024-08-20T21:43:23.1579632Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int32 PASSED [0.0088s] [ 28%] 2024-08-20T21:43:23.1580250Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int64 PASSED [0.0083s] [ 28%] 2024-08-20T21:43:23.1580863Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int8 PASSED [0.0083s] [ 28%] 2024-08-20T21:43:23.1581677Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_uint8 PASSED [0.0085s] [ 28%] 2024-08-20T21:43:23.1582327Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_bool PASSED [0.0088s] [ 28%] 2024-08-20T21:43:23.1582977Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex128 PASSED [0.0092s] [ 28%] 2024-08-20T21:43:23.1583631Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex64 PASSED [0.0089s] [ 28%] 2024-08-20T21:43:23.1584256Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float32 PASSED [0.0090s] [ 28%] 2024-08-20T21:43:23.1584885Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float64 PASSED [0.0089s] [ 28%] 2024-08-20T21:43:23.1585571Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int16 PASSED [0.0088s] [ 28%] 2024-08-20T21:43:23.1586177Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int32 PASSED [0.0090s] [ 28%] 2024-08-20T21:43:23.1586792Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int64 PASSED [0.0089s] [ 28%] 2024-08-20T21:43:23.1587398Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int8 PASSED [0.0091s] [ 28%] 2024-08-20T21:43:23.1588013Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_uint8 PASSED [0.0088s] [ 28%] 2024-08-20T21:43:23.1588858Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_bool PASSED [0.0096s] [ 28%] 2024-08-20T21:43:23.1589504Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex128 PASSED [0.0095s] [ 28%] 2024-08-20T21:43:23.1590164Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex64 PASSED [0.0094s] [ 28%] 2024-08-20T21:43:23.1590788Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float32 PASSED [0.0095s] [ 28%] 2024-08-20T21:43:23.1591434Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float64 PASSED [0.0094s] [ 28%] 2024-08-20T21:43:23.1592050Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int16 PASSED [0.0096s] [ 28%] 2024-08-20T21:43:23.1592664Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int32 PASSED [0.0094s] [ 29%] 2024-08-20T21:43:23.1593296Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int64 PASSED [0.0099s] [ 29%] 2024-08-20T21:43:23.1593902Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int8 PASSED [0.0094s] [ 29%] 2024-08-20T21:43:23.1594518Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_uint8 PASSED [0.0094s] [ 29%] 2024-08-20T21:43:23.1595134Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_bool PASSED [0.0085s] [ 29%] 2024-08-20T21:43:23.1595756Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float32 PASSED [0.0083s] [ 29%] 2024-08-20T21:43:23.1596426Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float64 PASSED [0.0086s] [ 29%] 2024-08-20T21:43:23.1597032Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int16 PASSED [0.0083s] [ 29%] 2024-08-20T21:43:23.1597632Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int32 PASSED [0.0085s] [ 29%] 2024-08-20T21:43:23.1598241Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int64 PASSED [0.0084s] [ 29%] 2024-08-20T21:43:23.1598849Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int8 PASSED [0.0084s] [ 29%] 2024-08-20T21:43:23.1599459Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_uint8 PASSED [0.0085s] [ 29%] 2024-08-20T21:43:23.1600116Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_bool PASSED [0.0088s] [ 29%] 2024-08-20T21:43:23.1600730Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float32 PASSED [0.0091s] [ 29%] 2024-08-20T21:43:23.1601355Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float64 PASSED [0.0089s] [ 29%] 2024-08-20T21:43:23.1601957Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int16 PASSED [0.0090s] [ 29%] 2024-08-20T21:43:23.1602561Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int32 PASSED [0.0089s] [ 29%] 2024-08-20T21:43:23.1603202Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int64 PASSED [0.0088s] [ 29%] 2024-08-20T21:43:23.1603801Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int8 PASSED [0.0091s] [ 29%] 2024-08-20T21:43:23.1604409Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_uint8 PASSED [0.0088s] [ 29%] 2024-08-20T21:43:23.1605004Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_bool PASSED [0.0096s] [ 29%] 2024-08-20T21:43:23.1605622Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float32 PASSED [0.0094s] [ 29%] 2024-08-20T21:43:23.1606286Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float64 PASSED [0.0099s] [ 29%] 2024-08-20T21:43:23.1606887Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int16 PASSED [0.0094s] [ 29%] 2024-08-20T21:43:23.1607496Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int32 PASSED [0.0094s] [ 29%] 2024-08-20T21:43:23.1608093Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int64 PASSED [0.0096s] [ 29%] 2024-08-20T21:43:23.1608696Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int8 PASSED [0.0095s] [ 29%] 2024-08-20T21:43:23.1609305Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_uint8 PASSED [0.0096s] [ 29%] 2024-08-20T21:43:23.1609904Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bfloat16 PASSED [0.0061s] [ 29%] 2024-08-20T21:43:23.1610493Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bool PASSED [0.0063s] [ 29%] 2024-08-20T21:43:23.1611102Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex128 PASSED [0.0061s] [ 29%] 2024-08-20T21:43:23.1611708Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex32 PASSED [0.0061s] [ 29%] 2024-08-20T21:43:23.1612319Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex64 PASSED [0.0063s] [ 29%] 2024-08-20T21:43:23.1612913Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float16 PASSED [0.0061s] [ 29%] 2024-08-20T21:43:23.1613542Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float32 PASSED [0.0063s] [ 29%] 2024-08-20T21:43:23.1614125Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float64 PASSED [0.0061s] [ 29%] 2024-08-20T21:43:23.1614705Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int16 PASSED [0.0063s] [ 29%] 2024-08-20T21:43:23.1615298Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int32 PASSED [0.0061s] [ 29%] 2024-08-20T21:43:23.1615884Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int64 PASSED [0.0063s] [ 29%] 2024-08-20T21:43:23.1616459Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int8 PASSED [0.0061s] [ 29%] 2024-08-20T21:43:23.1617078Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_uint8 PASSED [0.0063s] [ 29%] 2024-08-20T21:43:23.1617699Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bfloat16 PASSED [0.0076s] [ 29%] 2024-08-20T21:43:23.1618305Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bool PASSED [0.0076s] [ 29%] 2024-08-20T21:43:23.1618936Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex128 PASSED [0.0081s] [ 29%] 2024-08-20T21:43:23.1619559Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex32 PASSED [0.0077s] [ 29%] 2024-08-20T21:43:23.1620225Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex64 PASSED [0.0079s] [ 29%] 2024-08-20T21:43:23.1620835Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float16 PASSED [0.0077s] [ 29%] 2024-08-20T21:43:23.1621556Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float32 PASSED [0.0079s] [ 29%] 2024-08-20T21:43:23.1622163Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float64 PASSED [0.0077s] [ 29%] 2024-08-20T21:43:23.1622765Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int16 PASSED [0.0079s] [ 29%] 2024-08-20T21:43:23.1623408Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int32 PASSED [0.0077s] [ 29%] 2024-08-20T21:43:23.1623996Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int64 PASSED [0.0078s] [ 29%] 2024-08-20T21:43:23.1624606Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int8 PASSED [0.0077s] [ 29%] 2024-08-20T21:43:23.1625200Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_uint8 PASSED [0.0077s] [ 29%] 2024-08-20T21:43:23.1625978Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bfloat16 PASSED [0.0098s] [ 29%] 2024-08-20T21:43:23.1626576Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bool PASSED [0.0097s] [ 29%] 2024-08-20T21:43:23.1627193Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex128 PASSED [0.0100s] [ 29%] 2024-08-20T21:43:23.1627807Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex64 PASSED [0.0098s] [ 29%] 2024-08-20T21:43:23.1628413Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float16 PASSED [0.0100s] [ 29%] 2024-08-20T21:43:23.1629006Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float32 PASSED [0.0096s] [ 29%] 2024-08-20T21:43:23.1629607Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float64 PASSED [0.0099s] [ 30%] 2024-08-20T21:43:23.1630190Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int16 PASSED [0.0098s] [ 30%] 2024-08-20T21:43:23.1630848Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int32 PASSED [0.0099s] [ 30%] 2024-08-20T21:43:23.1631446Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int64 PASSED [0.0097s] [ 30%] 2024-08-20T21:43:23.1632022Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int8 PASSED [0.0097s] [ 30%] 2024-08-20T21:43:23.1632614Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_uint8 PASSED [0.0102s] [ 30%] 2024-08-20T21:43:23.1633228Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bfloat16 PASSED [0.0056s] [ 30%] 2024-08-20T21:43:23.1633814Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bool PASSED [0.0058s] [ 30%] 2024-08-20T21:43:23.1634507Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex128 PASSED [0.0056s] [ 30%] 2024-08-20T21:43:23.1635133Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex64 PASSED [0.0058s] [ 30%] 2024-08-20T21:43:23.1635749Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float16 PASSED [0.0055s] [ 30%] 2024-08-20T21:43:23.1636353Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float32 PASSED [0.0058s] [ 30%] 2024-08-20T21:43:23.1636949Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float64 PASSED [0.0056s] [ 30%] 2024-08-20T21:43:23.1637603Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int16 PASSED [0.0057s] [ 30%] 2024-08-20T21:43:23.1638201Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int32 PASSED [0.0056s] [ 30%] 2024-08-20T21:43:23.1638788Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int64 PASSED [0.0056s] [ 30%] 2024-08-20T21:43:23.1639390Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int8 PASSED [0.0057s] [ 30%] 2024-08-20T21:43:23.1639979Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_uint8 PASSED [0.0056s] [ 30%] 2024-08-20T21:43:23.1640639Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bfloat16 PASSED [0.0058s] [ 30%] 2024-08-20T21:43:23.1641225Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bool PASSED [0.0056s] [ 30%] 2024-08-20T21:43:23.1641847Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex128 PASSED [0.0058s] [ 30%] 2024-08-20T21:43:23.1642478Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex64 PASSED [0.0056s] [ 30%] 2024-08-20T21:43:23.1643085Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float16 PASSED [0.0058s] [ 30%] 2024-08-20T21:43:23.1643699Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float32 PASSED [0.0056s] [ 30%] 2024-08-20T21:43:23.1644299Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float64 PASSED [0.0058s] [ 30%] 2024-08-20T21:43:23.1644894Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int16 PASSED [0.0056s] [ 30%] 2024-08-20T21:43:23.1645495Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int32 PASSED [0.0056s] [ 30%] 2024-08-20T21:43:23.1646081Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int64 PASSED [0.0061s] [ 30%] 2024-08-20T21:43:23.1646668Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int8 PASSED [0.0055s] [ 30%] 2024-08-20T21:43:23.1647270Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_uint8 PASSED [0.0058s] [ 30%] 2024-08-20T21:43:23.1647906Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bfloat16 PASSED [0.0071s] [ 30%] 2024-08-20T21:43:23.1648497Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bool PASSED [0.0074s] [ 30%] 2024-08-20T21:43:23.1649118Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex128 PASSED [0.0072s] [ 30%] 2024-08-20T21:43:23.1649726Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex32 PASSED [0.0074s] [ 30%] 2024-08-20T21:43:23.1650347Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex64 PASSED [0.0073s] [ 30%] 2024-08-20T21:43:23.1650941Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float16 PASSED [0.0074s] [ 30%] 2024-08-20T21:43:23.1651572Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float32 PASSED [0.0072s] [ 30%] 2024-08-20T21:43:23.1652162Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float64 PASSED [0.0072s] [ 30%] 2024-08-20T21:43:23.1652742Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int16 PASSED [0.0074s] [ 30%] 2024-08-20T21:43:23.1653340Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int32 PASSED [0.0072s] [ 30%] 2024-08-20T21:43:23.1653928Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int64 PASSED [0.0074s] [ 30%] 2024-08-20T21:43:23.1654521Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int8 PASSED [0.0072s] [ 30%] 2024-08-20T21:43:23.1655131Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_uint8 PASSED [0.0074s] [ 30%] 2024-08-20T21:43:23.1655782Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bfloat16 PASSED [0.0095s] [ 30%] 2024-08-20T21:43:23.1656420Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bool PASSED [0.0097s] [ 30%] 2024-08-20T21:43:23.1657075Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex128 PASSED [0.0097s] [ 30%] 2024-08-20T21:43:23.1657758Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex64 PASSED [0.0098s] [ 30%] 2024-08-20T21:43:23.1658404Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float16 PASSED [0.0095s] [ 30%] 2024-08-20T21:43:23.1659043Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float32 PASSED [0.0095s] [ 30%] 2024-08-20T21:43:23.1659688Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float64 PASSED [0.0101s] [ 30%] 2024-08-20T21:43:23.1660310Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int16 PASSED [0.0095s] [ 30%] 2024-08-20T21:43:23.1661004Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int32 PASSED [0.0097s] [ 30%] 2024-08-20T21:43:23.1661648Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int64 PASSED [0.0095s] [ 30%] 2024-08-20T21:43:23.1662267Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int8 PASSED [0.0097s] [ 30%] 2024-08-20T21:43:23.1662900Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_uint8 PASSED [0.0094s] [ 30%] 2024-08-20T21:43:23.1663509Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_bfloat16 PASSED [0.0053s] [ 30%] 2024-08-20T21:43:23.1664104Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float16 PASSED [0.0051s] [ 30%] 2024-08-20T21:43:23.1664711Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float32 PASSED [0.0052s] [ 30%] 2024-08-20T21:43:23.1665346Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float64 PASSED [0.0051s] [ 30%] 2024-08-20T21:43:23.1665946Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int16 PASSED [0.0051s] [ 31%] 2024-08-20T21:43:23.1666531Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int32 PASSED [0.0052s] [ 31%] 2024-08-20T21:43:23.1667111Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int64 PASSED [0.0051s] [ 31%] 2024-08-20T21:43:23.1667706Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int8 PASSED [0.0053s] [ 31%] 2024-08-20T21:43:23.1668289Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_uint8 PASSED [0.0051s] [ 31%] 2024-08-20T21:43:23.1668967Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_bfloat16 PASSED [0.0104s] [ 31%] 2024-08-20T21:43:23.1669621Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float16 PASSED [0.0101s] [ 31%] 2024-08-20T21:43:23.1670267Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float32 PASSED [0.0103s] [ 31%] 2024-08-20T21:43:23.1670918Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float64 PASSED [0.0101s] [ 31%] 2024-08-20T21:43:23.1671548Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int16 PASSED [0.0102s] [ 31%] 2024-08-20T21:43:23.1672211Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int32 PASSED [0.0101s] [ 31%] 2024-08-20T21:43:23.1672853Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int64 PASSED [0.0099s] [ 31%] 2024-08-20T21:43:23.1673476Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int8 PASSED [0.0105s] [ 31%] 2024-08-20T21:43:23.1674118Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_uint8 PASSED [0.0101s] [ 31%] 2024-08-20T21:43:23.1674713Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bfloat16 PASSED [0.0097s] [ 31%] 2024-08-20T21:43:23.1675321Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bool PASSED [0.0094s] [ 31%] 2024-08-20T21:43:23.1675925Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float16 PASSED [0.0098s] [ 31%] 2024-08-20T21:43:23.1676514Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float32 PASSED [0.0095s] [ 31%] 2024-08-20T21:43:23.1677109Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float64 PASSED [0.0097s] [ 31%] 2024-08-20T21:43:23.1677692Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int16 PASSED [0.0095s] [ 31%] 2024-08-20T21:43:23.1678275Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int32 PASSED [0.0097s] [ 31%] 2024-08-20T21:43:23.1678868Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int64 PASSED [0.0095s] [ 31%] 2024-08-20T21:43:23.1679441Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int8 PASSED [0.0095s] [ 31%] 2024-08-20T21:43:23.1680019Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_uint8 PASSED [0.0096s] [ 31%] 2024-08-20T21:43:23.1680632Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bfloat16 PASSED [0.0096s] [ 31%] 2024-08-20T21:43:23.1681209Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bool PASSED [0.0097s] [ 31%] 2024-08-20T21:43:23.1681815Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float16 PASSED [0.0095s] [ 31%] 2024-08-20T21:43:23.1682433Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float32 PASSED [0.0097s] [ 31%] 2024-08-20T21:43:23.1683017Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float64 PASSED [0.0095s] [ 31%] 2024-08-20T21:43:23.1683611Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int16 PASSED [0.0097s] [ 31%] 2024-08-20T21:43:23.1684191Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int32 PASSED [0.0095s] [ 31%] 2024-08-20T21:43:23.1684783Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int64 PASSED [0.0097s] [ 31%] 2024-08-20T21:43:23.1685356Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int8 PASSED [0.0095s] [ 31%] 2024-08-20T21:43:23.1685965Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_uint8 PASSED [0.0095s] [ 31%] 2024-08-20T21:43:23.1686582Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_bfloat16 PASSED [0.0107s] [ 31%] 2024-08-20T21:43:23.1687170Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float16 PASSED [0.0101s] [ 31%] 2024-08-20T21:43:23.1687765Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float32 PASSED [0.0104s] [ 31%] 2024-08-20T21:43:23.1688540Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float64 PASSED [0.0101s] [ 31%] 2024-08-20T21:43:23.1689129Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int16 PASSED [0.0104s] [ 31%] 2024-08-20T21:43:23.1689769Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int32 PASSED [0.0101s] [ 31%] 2024-08-20T21:43:23.1690356Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int64 PASSED [0.0102s] [ 31%] 2024-08-20T21:43:23.1690933Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int8 PASSED [0.0100s] [ 31%] 2024-08-20T21:43:23.1691528Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_uint8 PASSED [0.0102s] [ 31%] 2024-08-20T21:43:23.1692131Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_bfloat16 PASSED [0.0051s] [ 31%] 2024-08-20T21:43:23.1692764Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float16 PASSED [0.0051s] [ 31%] 2024-08-20T21:43:23.1693356Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float32 PASSED [0.0052s] [ 31%] 2024-08-20T21:43:23.1693946Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float64 PASSED [0.0051s] [ 31%] 2024-08-20T21:43:23.1694564Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_bfloat16 PASSED [0.0063s] [ 31%] 2024-08-20T21:43:23.1695163Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float16 PASSED [0.0061s] [ 31%] 2024-08-20T21:43:23.1695771Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float32 PASSED [0.0063s] [ 31%] 2024-08-20T21:43:23.1696366Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float64 PASSED [0.0061s] [ 31%] 2024-08-20T21:43:23.1696958Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bfloat16 PASSED [0.0070s] [ 31%] 2024-08-20T21:43:23.1697548Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bool PASSED [0.0068s] [ 31%] 2024-08-20T21:43:23.1698160Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex128 PASSED [0.0070s] [ 31%] 2024-08-20T21:43:23.1698762Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex32 PASSED [0.0068s] [ 31%] 2024-08-20T21:43:23.1699377Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex64 PASSED [0.0068s] [ 31%] 2024-08-20T21:43:23.1700008Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float16 PASSED [0.0074s] [ 31%] 2024-08-20T21:43:23.1700601Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float32 PASSED [0.0068s] [ 31%] 2024-08-20T21:43:23.1701283Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float64 PASSED [0.0070s] [ 31%] 2024-08-20T21:43:23.1701870Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int16 PASSED [0.0068s] [ 31%] 2024-08-20T21:43:23.1702466Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int32 PASSED [0.0070s] [ 32%] 2024-08-20T21:43:23.1703047Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int64 PASSED [0.0068s] [ 32%] 2024-08-20T21:43:23.1703669Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int8 PASSED [0.0069s] [ 32%] 2024-08-20T21:43:23.1704254Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_uint8 PASSED [0.0068s] [ 32%] 2024-08-20T21:43:23.1704885Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bfloat16 PASSED [0.0083s] [ 32%] 2024-08-20T21:43:23.1705504Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bool PASSED [0.0084s] [ 32%] 2024-08-20T21:43:23.1706150Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex128 PASSED [0.0084s] [ 32%] 2024-08-20T21:43:23.1706829Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex64 PASSED [0.0086s] [ 32%] 2024-08-20T21:43:23.1707454Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float16 PASSED [0.0083s] [ 32%] 2024-08-20T21:43:23.1708075Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float32 PASSED [0.0085s] [ 32%] 2024-08-20T21:43:23.1708713Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float64 PASSED [0.0083s] [ 32%] 2024-08-20T21:43:23.1709321Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int16 PASSED [0.0085s] [ 32%] 2024-08-20T21:43:23.1709955Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int32 PASSED [0.0083s] [ 32%] 2024-08-20T21:43:23.1710564Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int64 PASSED [0.0084s] [ 32%] 2024-08-20T21:43:23.1711168Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int8 PASSED [0.0082s] [ 32%] 2024-08-20T21:43:23.1711779Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint8 PASSED [0.0082s] [ 32%] 2024-08-20T21:43:23.1712383Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bfloat16 PASSED [0.0083s] [ 32%] 2024-08-20T21:43:23.1712972Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bool PASSED [0.0080s] [ 32%] 2024-08-20T21:43:23.1713610Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex128 PASSED [0.0087s] [ 32%] 2024-08-20T21:43:23.1714227Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex64 PASSED [0.0080s] [ 32%] 2024-08-20T21:43:23.1714848Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float16 PASSED [0.0083s] [ 32%] 2024-08-20T21:43:23.1715452Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float32 PASSED [0.0080s] [ 32%] 2024-08-20T21:43:23.1716051Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float64 PASSED [0.0082s] [ 32%] 2024-08-20T21:43:23.1716656Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int16 PASSED [0.0080s] [ 32%] 2024-08-20T21:43:23.1717273Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int32 PASSED [0.0082s] [ 32%] 2024-08-20T21:43:23.1717870Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int64 PASSED [0.0080s] [ 32%] 2024-08-20T21:43:23.1718457Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int8 PASSED [0.0080s] [ 32%] 2024-08-20T21:43:23.1719049Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_uint8 PASSED [0.0082s] [ 32%] 2024-08-20T21:43:23.1719637Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int16 PASSED [0.0095s] [ 32%] 2024-08-20T21:43:23.1720215Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int32 PASSED [0.0097s] [ 32%] 2024-08-20T21:43:23.1720812Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int64 PASSED [0.0095s] [ 32%] 2024-08-20T21:43:23.1721401Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int8 PASSED [0.0097s] [ 32%] 2024-08-20T21:43:23.1721973Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_uint8 PASSED [0.0095s] [ 32%] 2024-08-20T21:43:23.1722572Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bfloat16 PASSED [0.0097s] [ 32%] 2024-08-20T21:43:23.1723137Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bool PASSED [0.0094s] [ 32%] 2024-08-20T21:43:23.1723750Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float16 PASSED [0.0097s] [ 32%] 2024-08-20T21:43:23.1724348Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float32 PASSED [0.0095s] [ 32%] 2024-08-20T21:43:23.1724923Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float64 PASSED [0.0096s] [ 32%] 2024-08-20T21:43:23.1725510Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int16 PASSED [0.0097s] [ 32%] 2024-08-20T21:43:23.1726283Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int32 PASSED [0.0095s] [ 32%] 2024-08-20T21:43:23.1726935Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int64 PASSED [0.0102s] [ 32%] 2024-08-20T21:43:23.1727512Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int8 PASSED [0.0095s] [ 32%] 2024-08-20T21:43:23.1728080Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_uint8 PASSED [0.0098s] [ 32%] 2024-08-20T21:43:23.1728715Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_bfloat16 PASSED [0.0062s] [ 32%] 2024-08-20T21:43:23.1729359Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float16 PASSED [0.0064s] [ 32%] 2024-08-20T21:43:23.1729992Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float32 PASSED [0.0061s] [ 32%] 2024-08-20T21:43:23.1730629Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float64 PASSED [0.0063s] [ 32%] 2024-08-20T21:43:23.1731250Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int16 PASSED [0.0061s] [ 32%] 2024-08-20T21:43:23.1731855Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int32 PASSED [0.0062s] [ 32%] 2024-08-20T21:43:23.1732476Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int64 PASSED [0.0062s] [ 32%] 2024-08-20T21:43:23.1733084Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int8 PASSED [0.0061s] [ 32%] 2024-08-20T21:43:23.1733702Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_uint8 PASSED [0.0063s] [ 32%] 2024-08-20T21:43:23.1734361Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex128 PASSED [0.0324s] [ 32%] 2024-08-20T21:43:23.1734972Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex64 PASSED [0.0309s] [ 32%] 2024-08-20T21:43:23.1735585Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float32 PASSED [0.0287s] [ 32%] 2024-08-20T21:43:23.1736179Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float64 PASSED [0.0287s] [ 32%] 2024-08-20T21:43:23.1736816Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_bfloat16 PASSED [0.0090s] [ 32%] 2024-08-20T21:43:23.1737454Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex128 PASSED [0.0089s] [ 32%] 2024-08-20T21:43:23.1738129Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex64 PASSED [0.0092s] [ 32%] 2024-08-20T21:43:23.1738768Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float16 PASSED [0.0109s] [ 33%] 2024-08-20T21:43:23.1739386Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float32 PASSED [0.0091s] [ 33%] 2024-08-20T21:43:23.1740017Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float64 PASSED [0.0088s] [ 33%] 2024-08-20T21:43:23.1740620Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int16 PASSED [0.0095s] [ 33%] 2024-08-20T21:43:23.1741369Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int32 PASSED [0.0088s] [ 33%] 2024-08-20T21:43:23.1741992Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int64 PASSED [0.0090s] [ 33%] 2024-08-20T21:43:23.1742596Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int8 PASSED [0.0088s] [ 33%] 2024-08-20T21:43:23.1743251Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float32 PASSED [0.0143s] [ 33%] 2024-08-20T21:43:23.1743921Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float64 PASSED [0.0146s] [ 33%] 2024-08-20T21:43:23.1744540Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bfloat16 PASSED [0.0095s] [ 33%] 2024-08-20T21:43:23.1745116Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bool PASSED [0.0097s] [ 33%] 2024-08-20T21:43:23.1745696Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float16 PASSED [0.0095s] [ 33%] 2024-08-20T21:43:23.1746273Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float32 PASSED [0.0098s] [ 33%] 2024-08-20T21:43:23.1746868Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float64 PASSED [0.0095s] [ 33%] 2024-08-20T21:43:23.1747438Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int16 PASSED [0.0097s] [ 33%] 2024-08-20T21:43:23.1748021Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int32 PASSED [0.0095s] [ 33%] 2024-08-20T21:43:23.1748592Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int64 PASSED [0.0097s] [ 33%] 2024-08-20T21:43:23.1749155Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int8 PASSED [0.0095s] [ 33%] 2024-08-20T21:43:23.1749733Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_uint8 PASSED [0.0095s] [ 33%] 2024-08-20T21:43:23.1750332Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bfloat16 PASSED [0.0073s] [ 33%] 2024-08-20T21:43:23.1750909Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bool PASSED [0.0072s] [ 33%] 2024-08-20T21:43:23.1751535Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex128 PASSED [0.0074s] [ 33%] 2024-08-20T21:43:23.1752177Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex64 PASSED [0.0072s] [ 33%] 2024-08-20T21:43:23.1752781Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float16 PASSED [0.0074s] [ 33%] 2024-08-20T21:43:23.1753368Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float32 PASSED [0.0072s] [ 33%] 2024-08-20T21:43:23.1753952Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float64 PASSED [0.0077s] [ 33%] 2024-08-20T21:43:23.1754546Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int16 PASSED [0.0072s] [ 33%] 2024-08-20T21:43:23.1755125Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int32 PASSED [0.0074s] [ 33%] 2024-08-20T21:43:23.1755749Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int64 PASSED [0.0072s] [ 33%] 2024-08-20T21:43:23.1756329Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int8 PASSED [0.0072s] [ 33%] 2024-08-20T21:43:23.1756909Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_uint8 PASSED [0.0073s] [ 33%] 2024-08-20T21:43:23.1757557Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bfloat16 PASSED [0.0095s] [ 33%] 2024-08-20T21:43:23.1758164Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bool PASSED [0.0097s] [ 33%] 2024-08-20T21:43:23.1758834Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float16 PASSED [0.0096s] [ 33%] 2024-08-20T21:43:23.1759459Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float32 PASSED [0.0098s] [ 33%] 2024-08-20T21:43:23.1760085Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float64 PASSED [0.0095s] [ 33%] 2024-08-20T21:43:23.1760711Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int16 PASSED [0.0097s] [ 33%] 2024-08-20T21:43:23.1761310Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int32 PASSED [0.0095s] [ 33%] 2024-08-20T21:43:23.1761957Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int64 PASSED [0.0097s] [ 33%] 2024-08-20T21:43:23.1762575Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int8 PASSED [0.0095s] [ 33%] 2024-08-20T21:43:23.1763178Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_uint8 PASSED [0.0095s] [ 33%] 2024-08-20T21:43:23.1763793Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_bfloat16 PASSED [0.0547s] [ 33%] 2024-08-20T21:43:23.1764392Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float16 PASSED [0.0542s] [ 33%] 2024-08-20T21:43:23.1764986Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float32 PASSED [0.0545s] [ 33%] 2024-08-20T21:43:23.1765584Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float64 PASSED [0.0541s] [ 33%] 2024-08-20T21:43:23.1766206Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float32 PASSED [0.1084s] [ 33%] 2024-08-20T21:43:23.1766842Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float64 PASSED [0.1086s] [ 33%] 2024-08-20T21:43:23.1767479Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float32 PASSED [0.0573s] [ 33%] 2024-08-20T21:43:23.1768120Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float64 PASSED [0.0580s] [ 33%] 2024-08-20T21:43:23.1768745Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bfloat16 PASSED [0.0058s] [ 33%] 2024-08-20T21:43:23.1769366Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bool PASSED [0.0059s] [ 33%] 2024-08-20T21:43:23.1770001Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex128 PASSED [0.0057s] [ 33%] 2024-08-20T21:43:23.1770624Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex32 PASSED [0.0058s] [ 33%] 2024-08-20T21:43:23.1771242Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex64 PASSED [0.0056s] [ 33%] 2024-08-20T21:43:23.1771863Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float16 PASSED [0.0058s] [ 33%] 2024-08-20T21:43:23.1772461Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float32 PASSED [0.0056s] [ 33%] 2024-08-20T21:43:23.1773079Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float64 PASSED [0.0056s] [ 33%] 2024-08-20T21:43:23.1773688Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int16 PASSED [0.0058s] [ 33%] 2024-08-20T21:43:23.1774274Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int32 PASSED [0.0056s] [ 33%] 2024-08-20T21:43:23.1774874Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int64 PASSED [0.0058s] [ 34%] 2024-08-20T21:43:23.1775462Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int8 PASSED [0.0057s] [ 34%] 2024-08-20T21:43:23.1776083Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_uint8 PASSED [0.0058s] [ 34%] 2024-08-20T21:43:23.1776711Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bfloat16 PASSED [0.0057s] [ 34%] 2024-08-20T21:43:23.1777298Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bool PASSED [0.0058s] [ 34%] 2024-08-20T21:43:23.1777935Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex128 PASSED [0.0057s] [ 34%] 2024-08-20T21:43:23.1778555Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex32 PASSED [0.0059s] [ 34%] 2024-08-20T21:43:23.1779203Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex64 PASSED [0.0057s] [ 34%] 2024-08-20T21:43:23.1779821Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float16 PASSED [0.0056s] [ 34%] 2024-08-20T21:43:23.1780425Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float32 PASSED [0.0062s] [ 34%] 2024-08-20T21:43:23.1781148Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float64 PASSED [0.0057s] [ 34%] 2024-08-20T21:43:23.1781753Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int16 PASSED [0.0059s] [ 34%] 2024-08-20T21:43:23.1782347Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int32 PASSED [0.0056s] [ 34%] 2024-08-20T21:43:23.1782955Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int64 PASSED [0.0059s] [ 34%] 2024-08-20T21:43:23.1783546Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int8 PASSED [0.0057s] [ 34%] 2024-08-20T21:43:23.1784140Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_uint8 PASSED [0.0058s] [ 34%] 2024-08-20T21:43:23.1784763Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_bfloat16 PASSED [0.0096s] [ 34%] 2024-08-20T21:43:23.1785362Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float16 PASSED [0.0095s] [ 34%] 2024-08-20T21:43:23.1785974Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float32 PASSED [0.0097s] [ 34%] 2024-08-20T21:43:23.1786605Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float64 PASSED [0.0095s] [ 34%] 2024-08-20T21:43:23.1787199Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bfloat16 PASSED [0.0058s] [ 34%] 2024-08-20T21:43:23.1787777Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bool PASSED [0.0056s] [ 34%] 2024-08-20T21:43:23.1788535Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float16 PASSED [0.0058s] [ 34%] 2024-08-20T21:43:23.1789124Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float32 PASSED [0.0056s] [ 34%] 2024-08-20T21:43:23.1789721Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float64 PASSED [0.0058s] [ 34%] 2024-08-20T21:43:23.1790327Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int16 PASSED [0.0056s] [ 34%] 2024-08-20T21:43:23.1790919Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int32 PASSED [0.0057s] [ 34%] 2024-08-20T21:43:23.1791481Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int64 PASSED [0.0056s] [ 34%] 2024-08-20T21:43:23.1792046Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int8 PASSED [0.0055s] [ 34%] 2024-08-20T21:43:23.1792622Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_uint8 PASSED [0.0057s] [ 34%] 2024-08-20T21:43:23.1793267Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_bfloat16 PASSED [0.0095s] [ 34%] 2024-08-20T21:43:23.1793875Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float16 PASSED [0.0101s] [ 34%] 2024-08-20T21:43:23.1794486Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float32 PASSED [0.0095s] [ 34%] 2024-08-20T21:43:23.1795081Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float64 PASSED [0.0097s] [ 34%] 2024-08-20T21:43:23.1795710Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_bfloat16 PASSED [0.0094s] [ 34%] 2024-08-20T21:43:23.1796353Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float16 PASSED [0.0096s] [ 34%] 2024-08-20T21:43:23.1796959Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float32 PASSED [0.0095s] [ 34%] 2024-08-20T21:43:23.1797579Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float64 PASSED [0.0097s] [ 34%] 2024-08-20T21:43:23.1798180Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex128 PASSED [0.0062s] [ 34%] 2024-08-20T21:43:23.1798805Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex32 PASSED [0.0061s] [ 34%] 2024-08-20T21:43:23.1799408Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex64 PASSED [0.0063s] [ 34%] 2024-08-20T21:43:23.1800036Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bfloat16 PASSED [0.0096s] [ 34%] 2024-08-20T21:43:23.1800664Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bool PASSED [0.0081s] [ 34%] 2024-08-20T21:43:23.1801306Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex128 PASSED [0.0097s] [ 34%] 2024-08-20T21:43:23.1801956Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex32 PASSED [0.0099s] [ 34%] 2024-08-20T21:43:23.1802594Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex64 PASSED [0.0096s] [ 34%] 2024-08-20T21:43:23.1803217Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float16 PASSED [0.0097s] [ 34%] 2024-08-20T21:43:23.1803889Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float32 PASSED [0.0095s] [ 34%] 2024-08-20T21:43:23.1804510Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float64 PASSED [0.0097s] [ 34%] 2024-08-20T21:43:23.1805123Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int16 PASSED [0.0094s] [ 34%] 2024-08-20T21:43:23.1805742Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int32 PASSED [0.0095s] [ 34%] 2024-08-20T21:43:23.1806343Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int64 PASSED [0.0096s] [ 34%] 2024-08-20T21:43:23.1806958Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int8 PASSED [0.0094s] [ 34%] 2024-08-20T21:43:23.1807586Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_uint8 PASSED [0.0101s] [ 34%] 2024-08-20T21:43:23.1808224Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bfloat16 PASSED [0.0062s] [ 34%] 2024-08-20T21:43:23.1808850Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bool PASSED [0.0064s] [ 34%] 2024-08-20T21:43:23.1809496Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex128 PASSED [0.0063s] [ 34%] 2024-08-20T21:43:23.1810147Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex32 PASSED [0.0065s] [ 34%] 2024-08-20T21:43:23.1810819Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex64 PASSED [0.0063s] [ 34%] 2024-08-20T21:43:23.1811449Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float16 PASSED [0.0064s] [ 34%] 2024-08-20T21:43:23.1812089Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float32 PASSED [0.0063s] [ 35%] 2024-08-20T21:43:23.1812717Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float64 PASSED [0.0063s] [ 35%] 2024-08-20T21:43:23.1813347Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int16 PASSED [0.0064s] [ 35%] 2024-08-20T21:43:23.1813995Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int32 PASSED [0.0062s] [ 35%] 2024-08-20T21:43:23.1814610Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int64 PASSED [0.0064s] [ 35%] 2024-08-20T21:43:23.1815230Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int8 PASSED [0.0062s] [ 35%] 2024-08-20T21:43:23.1815839Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_uint8 PASSED [0.0064s] [ 35%] 2024-08-20T21:43:23.1816476Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bfloat16 PASSED [0.0079s] [ 35%] 2024-08-20T21:43:23.1817098Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bool PASSED [0.0080s] [ 35%] 2024-08-20T21:43:23.1817741Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex128 PASSED [0.0079s] [ 35%] 2024-08-20T21:43:23.1818392Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex32 PASSED [0.0081s] [ 35%] 2024-08-20T21:43:23.1819029Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex64 PASSED [0.0079s] [ 35%] 2024-08-20T21:43:23.1819658Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float16 PASSED [0.0079s] [ 35%] 2024-08-20T21:43:23.1820298Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float32 PASSED [0.0080s] [ 35%] 2024-08-20T21:43:23.1821041Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float64 PASSED [0.0078s] [ 35%] 2024-08-20T21:43:23.1821675Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int16 PASSED [0.0085s] [ 35%] 2024-08-20T21:43:23.1822293Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int32 PASSED [0.0078s] [ 35%] 2024-08-20T21:43:23.1822904Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int64 PASSED [0.0080s] [ 35%] 2024-08-20T21:43:23.1823530Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int8 PASSED [0.0078s] [ 35%] 2024-08-20T21:43:23.1824144Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_uint8 PASSED [0.0080s] [ 35%] 2024-08-20T21:43:23.1824823Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bfloat16 PASSED [0.0069s] [ 35%] 2024-08-20T21:43:23.1825434Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bool PASSED [0.0071s] [ 35%] 2024-08-20T21:43:23.1826258Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex128 PASSED [0.0069s] [ 35%] 2024-08-20T21:43:23.1826912Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex32 PASSED [0.0069s] [ 35%] 2024-08-20T21:43:23.1827545Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex64 PASSED [0.0071s] [ 35%] 2024-08-20T21:43:23.1828256Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float16 PASSED [0.0069s] [ 35%] 2024-08-20T21:43:23.1828879Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float32 PASSED [0.0071s] [ 35%] 2024-08-20T21:43:23.1829502Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float64 PASSED [0.0069s] [ 35%] 2024-08-20T21:43:23.1830129Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int16 PASSED [0.0071s] [ 35%] 2024-08-20T21:43:23.1830732Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int32 PASSED [0.0069s] [ 35%] 2024-08-20T21:43:23.1831372Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int64 PASSED [0.0071s] [ 35%] 2024-08-20T21:43:23.1831989Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int8 PASSED [0.0069s] [ 35%] 2024-08-20T21:43:23.1832591Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_uint8 PASSED [0.0071s] [ 35%] 2024-08-20T21:43:23.1833277Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_bfloat16 PASSED [0.0090s] [ 35%] 2024-08-20T21:43:23.1833949Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float16 PASSED [0.0090s] [ 35%] 2024-08-20T21:43:23.1834620Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float32 PASSED [0.0091s] [ 35%] 2024-08-20T21:43:23.1835299Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float64 PASSED [0.0090s] [ 35%] 2024-08-20T21:43:23.1835959Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int16 PASSED [0.0096s] [ 35%] 2024-08-20T21:43:23.1836622Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int32 PASSED [0.0090s] [ 35%] 2024-08-20T21:43:23.1837275Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int64 PASSED [0.0092s] [ 35%] 2024-08-20T21:43:23.1837924Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int8 PASSED [0.0090s] [ 35%] 2024-08-20T21:43:23.1838587Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_uint8 PASSED [0.0092s] [ 35%] 2024-08-20T21:43:23.1839301Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_bfloat16 PASSED [0.0090s] [ 35%] 2024-08-20T21:43:23.1839973Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float16 PASSED [0.0092s] [ 35%] 2024-08-20T21:43:23.1840639Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float32 PASSED [0.0091s] [ 35%] 2024-08-20T21:43:23.1841304Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float64 PASSED [0.0091s] [ 35%] 2024-08-20T21:43:23.1841970Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int16 PASSED [0.0091s] [ 35%] 2024-08-20T21:43:23.1842654Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int32 PASSED [0.0090s] [ 35%] 2024-08-20T21:43:23.1843316Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int64 PASSED [0.0091s] [ 35%] 2024-08-20T21:43:23.1843964Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int8 PASSED [0.0089s] [ 35%] 2024-08-20T21:43:23.1844610Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_uint8 PASSED [0.0092s] [ 35%] 2024-08-20T21:43:23.1845294Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_bfloat16 PASSED [0.0090s] [ 35%] 2024-08-20T21:43:23.1845988Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float16 PASSED [0.0092s] [ 35%] 2024-08-20T21:43:23.1846661Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float32 PASSED [0.0090s] [ 35%] 2024-08-20T21:43:23.1847339Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float64 PASSED [0.0092s] [ 35%] 2024-08-20T21:43:23.1847988Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int16 PASSED [0.0089s] [ 35%] 2024-08-20T21:43:23.1848649Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int32 PASSED [0.0089s] [ 35%] 2024-08-20T21:43:23.1849327Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int64 PASSED [0.0091s] [ 35%] 2024-08-20T21:43:23.1849978Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int8 PASSED [0.0089s] [ 35%] 2024-08-20T21:43:23.1850637Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_uint8 PASSED [0.0097s] [ 36%] 2024-08-20T21:43:23.1851308Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_bfloat16 PASSED [0.0090s] [ 36%] 2024-08-20T21:43:23.1851987Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float16 PASSED [0.0093s] [ 36%] 2024-08-20T21:43:23.1852651Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float32 PASSED [0.0091s] [ 36%] 2024-08-20T21:43:23.1853315Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float64 PASSED [0.0093s] [ 36%] 2024-08-20T21:43:23.1853976Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int16 PASSED [0.0089s] [ 36%] 2024-08-20T21:43:23.1854628Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int32 PASSED [0.0089s] [ 36%] 2024-08-20T21:43:23.1855283Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int64 PASSED [0.0091s] [ 36%] 2024-08-20T21:43:23.1855933Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int8 PASSED [0.0089s] [ 36%] 2024-08-20T21:43:23.1856618Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_uint8 PASSED [0.0092s] [ 36%] 2024-08-20T21:43:23.1857273Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bfloat16 PASSED [0.0062s] [ 36%] 2024-08-20T21:43:23.1857897Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bool PASSED [0.0064s] [ 36%] 2024-08-20T21:43:23.1858565Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex128 PASSED [0.0062s] [ 36%] 2024-08-20T21:43:23.1859217Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex32 PASSED [0.0064s] [ 36%] 2024-08-20T21:43:23.1859899Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex64 PASSED [0.0063s] [ 36%] 2024-08-20T21:43:23.1860554Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float16 PASSED [0.0064s] [ 36%] 2024-08-20T21:43:23.1861271Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float32 PASSED [0.0062s] [ 36%] 2024-08-20T21:43:23.1861923Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float64 PASSED [0.0062s] [ 36%] 2024-08-20T21:43:23.1862556Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int16 PASSED [0.0063s] [ 36%] 2024-08-20T21:43:23.1863181Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int32 PASSED [0.0062s] [ 36%] 2024-08-20T21:43:23.1863870Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int64 PASSED [0.0063s] [ 36%] 2024-08-20T21:43:23.1864496Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int8 PASSED [0.0062s] [ 36%] 2024-08-20T21:43:23.1865124Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_uint8 PASSED [0.0068s] [ 36%] 2024-08-20T21:43:23.1865741Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_bfloat16 PASSED [0.0056s] [ 36%] 2024-08-20T21:43:23.1866386Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex128 PASSED [0.0059s] [ 36%] 2024-08-20T21:43:23.1867003Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex64 PASSED [0.0057s] [ 36%] 2024-08-20T21:43:23.1867604Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float16 PASSED [0.0058s] [ 36%] 2024-08-20T21:43:23.1868195Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float32 PASSED [0.0056s] [ 36%] 2024-08-20T21:43:23.1868799Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float64 PASSED [0.0057s] [ 36%] 2024-08-20T21:43:23.1869387Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int16 PASSED [0.0058s] [ 36%] 2024-08-20T21:43:23.1869987Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int32 PASSED [0.0056s] [ 36%] 2024-08-20T21:43:23.1870572Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int64 PASSED [0.0058s] [ 36%] 2024-08-20T21:43:23.1871148Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int8 PASSED [0.0056s] [ 36%] 2024-08-20T21:43:23.1871740Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_uint8 PASSED [0.0058s] [ 36%] 2024-08-20T21:43:23.1872334Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bfloat16 PASSED [0.0072s] [ 36%] 2024-08-20T21:43:23.1872920Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bool PASSED [0.0073s] [ 36%] 2024-08-20T21:43:23.1873585Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex128 PASSED [0.0072s] [ 36%] 2024-08-20T21:43:23.1874179Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex64 PASSED [0.0074s] [ 36%] 2024-08-20T21:43:23.1874773Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float16 PASSED [0.0072s] [ 36%] 2024-08-20T21:43:23.1875356Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float32 PASSED [0.0072s] [ 36%] 2024-08-20T21:43:23.1875935Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float64 PASSED [0.0073s] [ 36%] 2024-08-20T21:43:23.1876521Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int16 PASSED [0.0072s] [ 36%] 2024-08-20T21:43:23.1877094Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int32 PASSED [0.0074s] [ 36%] 2024-08-20T21:43:23.1877713Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int64 PASSED [0.0071s] [ 36%] 2024-08-20T21:43:23.1878285Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int8 PASSED [0.0077s] [ 36%] 2024-08-20T21:43:23.1878855Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_uint8 PASSED [0.0072s] [ 36%] 2024-08-20T21:43:23.1879484Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bfloat16 PASSED [0.0142s] [ 36%] 2024-08-20T21:43:23.1880079Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bool PASSED [0.0137s] [ 36%] 2024-08-20T21:43:23.1880754Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex128 PASSED [0.0143s] [ 36%] 2024-08-20T21:43:23.1881380Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex64 PASSED [0.0139s] [ 36%] 2024-08-20T21:43:23.1881996Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float16 PASSED [0.0138s] [ 36%] 2024-08-20T21:43:23.1882617Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float32 PASSED [0.0140s] [ 36%] 2024-08-20T21:43:23.1883216Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float64 PASSED [0.0141s] [ 36%] 2024-08-20T21:43:23.1883854Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int16 PASSED [0.0140s] [ 36%] 2024-08-20T21:43:23.1884450Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int32 PASSED [0.0138s] [ 36%] 2024-08-20T21:43:23.1885040Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int64 PASSED [0.0140s] [ 36%] 2024-08-20T21:43:23.1885642Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int8 PASSED [0.0137s] [ 36%] 2024-08-20T21:43:23.1886235Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_uint8 PASSED [0.0139s] [ 36%] 2024-08-20T21:43:23.1886862Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bfloat16 PASSED [0.0062s] [ 36%] 2024-08-20T21:43:23.1887473Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bool PASSED [0.0061s] [ 36%] 2024-08-20T21:43:23.1888315Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex128 PASSED [0.0063s] [ 37%] 2024-08-20T21:43:23.1888969Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex32 PASSED [0.0062s] [ 37%] 2024-08-20T21:43:23.1889598Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex64 PASSED [0.0063s] [ 37%] 2024-08-20T21:43:23.1890216Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float16 PASSED [0.0061s] [ 37%] 2024-08-20T21:43:23.1890863Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float32 PASSED [0.0063s] [ 37%] 2024-08-20T21:43:23.1891524Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float64 PASSED [0.0061s] [ 37%] 2024-08-20T21:43:23.1892140Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int16 PASSED [0.0067s] [ 37%] 2024-08-20T21:43:23.1892739Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int32 PASSED [0.0061s] [ 37%] 2024-08-20T21:43:23.1893338Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int64 PASSED [0.0063s] [ 37%] 2024-08-20T21:43:23.1893949Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int8 PASSED [0.0061s] [ 37%] 2024-08-20T21:43:23.1894548Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_uint8 PASSED [0.0061s] [ 37%] 2024-08-20T21:43:23.1895198Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float32 PASSED [0.0058s] [ 37%] 2024-08-20T21:43:23.1895786Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float64 PASSED [0.0057s] [ 37%] 2024-08-20T21:43:23.1896362Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int16 PASSED [0.0058s] [ 37%] 2024-08-20T21:43:23.1896960Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int32 PASSED [0.0056s] [ 37%] 2024-08-20T21:43:23.1897536Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int64 PASSED [0.0058s] [ 37%] 2024-08-20T21:43:23.1898144Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int8 PASSED [0.0056s] [ 37%] 2024-08-20T21:43:23.1898733Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_uint8 PASSED [0.0058s] [ 37%] 2024-08-20T21:43:23.1899340Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bfloat16 PASSED [0.0051s] [ 37%] 2024-08-20T21:43:23.1899935Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bool PASSED [0.0052s] [ 37%] 2024-08-20T21:43:23.1900546Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex128 PASSED [0.0051s] [ 37%] 2024-08-20T21:43:23.1901259Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex32 PASSED [0.0051s] [ 37%] 2024-08-20T21:43:23.1901888Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex64 PASSED [0.0052s] [ 37%] 2024-08-20T21:43:23.1902492Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float16 PASSED [0.0051s] [ 37%] 2024-08-20T21:43:23.1903099Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float32 PASSED [0.0052s] [ 37%] 2024-08-20T21:43:23.1903691Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float64 PASSED [0.0050s] [ 37%] 2024-08-20T21:43:23.1904276Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int16 PASSED [0.0053s] [ 37%] 2024-08-20T21:43:23.1904869Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int32 PASSED [0.0050s] [ 37%] 2024-08-20T21:43:23.1905457Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int64 PASSED [0.0056s] [ 37%] 2024-08-20T21:43:23.1906035Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int8 PASSED [0.0051s] [ 37%] 2024-08-20T21:43:23.1906635Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_uint8 PASSED [0.0052s] [ 37%] 2024-08-20T21:43:23.1907238Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bfloat16 PASSED [0.0051s] [ 37%] 2024-08-20T21:43:23.1907834Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bool PASSED [0.0051s] [ 37%] 2024-08-20T21:43:23.1908496Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex128 PASSED [0.0053s] [ 37%] 2024-08-20T21:43:23.1909109Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex64 PASSED [0.0051s] [ 37%] 2024-08-20T21:43:23.1909718Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float16 PASSED [0.0052s] [ 37%] 2024-08-20T21:43:23.1910309Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float32 PASSED [0.0051s] [ 37%] 2024-08-20T21:43:23.1910912Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float64 PASSED [0.0053s] [ 37%] 2024-08-20T21:43:23.1911497Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int16 PASSED [0.0051s] [ 37%] 2024-08-20T21:43:23.1912113Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int32 PASSED [0.0053s] [ 37%] 2024-08-20T21:43:23.1912715Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int64 PASSED [0.0051s] [ 37%] 2024-08-20T21:43:23.1913295Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int8 PASSED [0.0052s] [ 37%] 2024-08-20T21:43:23.1913892Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_uint8 PASSED [0.0050s] [ 37%] 2024-08-20T21:43:23.1914515Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bfloat16 PASSED [0.0051s] [ 37%] 2024-08-20T21:43:23.1915140Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bool PASSED [0.0052s] [ 37%] 2024-08-20T21:43:23.1915773Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float16 PASSED [0.0050s] [ 37%] 2024-08-20T21:43:23.1916395Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float32 PASSED [0.0053s] [ 37%] 2024-08-20T21:43:23.1917023Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float64 PASSED [0.0051s] [ 37%] 2024-08-20T21:43:23.1917643Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int16 PASSED [0.0053s] [ 37%] 2024-08-20T21:43:23.1918278Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int32 PASSED [0.0051s] [ 37%] 2024-08-20T21:43:23.1918886Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int64 PASSED [0.0057s] [ 37%] 2024-08-20T21:43:23.1919486Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int8 PASSED [0.0050s] [ 37%] 2024-08-20T21:43:23.1920083Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_uint8 PASSED [0.0052s] [ 37%] 2024-08-20T21:43:23.1920717Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bfloat16 PASSED [0.0050s] [ 37%] 2024-08-20T21:43:23.1921314Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bool PASSED [0.0051s] [ 37%] 2024-08-20T21:43:23.1921941Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float16 PASSED [0.0052s] [ 37%] 2024-08-20T21:43:23.1922561Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float32 PASSED [0.0051s] [ 37%] 2024-08-20T21:43:23.1923171Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float64 PASSED [0.0053s] [ 37%] 2024-08-20T21:43:23.1923795Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int16 PASSED [0.0050s] [ 37%] 2024-08-20T21:43:23.1924393Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int32 PASSED [0.0053s] [ 38%] 2024-08-20T21:43:23.1925006Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int64 PASSED [0.0051s] [ 38%] 2024-08-20T21:43:23.1925641Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int8 PASSED [0.0052s] [ 38%] 2024-08-20T21:43:23.1926460Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_uint8 PASSED [0.0051s] [ 38%] 2024-08-20T21:43:23.1927088Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bfloat16 PASSED [0.0063s] [ 38%] 2024-08-20T21:43:23.1927673Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bool PASSED [0.0061s] [ 38%] 2024-08-20T21:43:23.1928299Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex128 PASSED [0.0061s] [ 38%] 2024-08-20T21:43:23.1928932Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex32 PASSED [0.0063s] [ 38%] 2024-08-20T21:43:23.1929615Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex64 PASSED [0.0061s] [ 38%] 2024-08-20T21:43:23.1930240Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float16 PASSED [0.0063s] [ 38%] 2024-08-20T21:43:23.1930839Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float32 PASSED [0.0061s] [ 38%] 2024-08-20T21:43:23.1931439Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float64 PASSED [0.0063s] [ 38%] 2024-08-20T21:43:23.1932049Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int16 PASSED [0.0061s] [ 38%] 2024-08-20T21:43:23.1932679Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int32 PASSED [0.0067s] [ 38%] 2024-08-20T21:43:23.1933284Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int64 PASSED [0.0061s] [ 38%] 2024-08-20T21:43:23.1933871Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int8 PASSED [0.0063s] [ 38%] 2024-08-20T21:43:23.1934462Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_uint8 PASSED [0.0061s] [ 38%] 2024-08-20T21:43:23.1935089Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex128 PASSED [0.0102s] [ 38%] 2024-08-20T21:43:23.1935748Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex64 PASSED [0.0103s] [ 38%] 2024-08-20T21:43:23.1936361Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bfloat16 PASSED [0.0066s] [ 38%] 2024-08-20T21:43:23.1936940Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bool PASSED [0.0069s] [ 38%] 2024-08-20T21:43:23.1937549Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex128 PASSED [0.0067s] [ 38%] 2024-08-20T21:43:23.1938168Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex32 PASSED [0.0068s] [ 38%] 2024-08-20T21:43:23.1938768Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex64 PASSED [0.0066s] [ 38%] 2024-08-20T21:43:23.1939354Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float16 PASSED [0.0068s] [ 38%] 2024-08-20T21:43:23.1939953Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float32 PASSED [0.0067s] [ 38%] 2024-08-20T21:43:23.1940533Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float64 PASSED [0.0066s] [ 38%] 2024-08-20T21:43:23.1941198Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int16 PASSED [0.0067s] [ 38%] 2024-08-20T21:43:23.1941784Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int32 PASSED [0.0066s] [ 38%] 2024-08-20T21:43:23.1942364Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int64 PASSED [0.0068s] [ 38%] 2024-08-20T21:43:23.1943001Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int8 PASSED [0.0066s] [ 38%] 2024-08-20T21:43:23.1943578Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_uint8 PASSED [0.0068s] [ 38%] 2024-08-20T21:43:23.1944456Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bfloat16 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1945277Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bool SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1946142Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex128 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1947041Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex64 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1947885Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float16 SKIPPED [0.0013s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1948733Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float32 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1949571Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float64 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1950427Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int16 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1951268Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int32 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1952086Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int64 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1952918Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int8 SKIPPED [0.0016s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1953762Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_uint8 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1954641Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bfloat16 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1955505Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bool SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1956408Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex128 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1957308Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex64 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1958193Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float16 SKIPPED [0.0013s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1959078Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float32 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1959947Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1960819Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int16 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1961733Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int32 SKIPPED [0.0012s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1962586Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int64 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1963458Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int8 SKIPPED [0.0013s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1964321Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_uint8 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1965116Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bfloat16 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1965924Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bool SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1966733Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex128 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1967540Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex64 SKIPPED [0.0011s] (Only runs on cuda) [ 38%] 2024-08-20T21:43:23.1968323Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float16 SKIPPED [0.0013s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1969128Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float32 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1969912Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float64 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1970677Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int16 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1971461Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int32 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1972265Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int64 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1973034Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int8 SKIPPED [0.0013s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1973820Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_uint8 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1974686Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bfloat16 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1975538Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bool SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1976417Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex128 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1977287Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex64 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1978155Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float16 SKIPPED [0.0013s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1979010Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float32 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1979881Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float64 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1980766Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int16 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1981705Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int32 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1982557Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int64 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1983397Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int8 SKIPPED [0.0013s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1984295Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_uint8 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1985085Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bfloat16 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1985856Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bool SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1986660Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex128 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1987486Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex64 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1988470Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float16 SKIPPED [0.0013s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1989250Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float32 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1990036Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float64 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1990796Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int16 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1991603Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int32 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1992383Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int64 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1993145Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int8 SKIPPED [0.0013s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1993927Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_uint8 SKIPPED [0.0011s] (Only runs on cuda) [ 39%] 2024-08-20T21:43:23.1994532Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bfloat16 PASSED [0.0052s] [ 39%] 2024-08-20T21:43:23.1995107Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bool PASSED [0.0053s] [ 39%] 2024-08-20T21:43:23.1995734Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex128 PASSED [0.0051s] [ 39%] 2024-08-20T21:43:23.1996339Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex64 PASSED [0.0053s] [ 39%] 2024-08-20T21:43:23.1996947Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float16 PASSED [0.0051s] [ 39%] 2024-08-20T21:43:23.1997531Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float32 PASSED [0.0052s] [ 39%] 2024-08-20T21:43:23.1998116Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float64 PASSED [0.0051s] [ 39%] 2024-08-20T21:43:23.1998746Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int16 PASSED [0.0051s] [ 39%] 2024-08-20T21:43:23.1999325Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int32 PASSED [0.0052s] [ 39%] 2024-08-20T21:43:23.1999906Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int64 PASSED [0.0051s] [ 39%] 2024-08-20T21:43:23.2000491Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int8 PASSED [0.0053s] [ 39%] 2024-08-20T21:43:23.2001070Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_uint8 PASSED [0.0051s] [ 39%] 2024-08-20T21:43:23.2001705Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_bfloat16 PASSED [0.0099s] [ 39%] 2024-08-20T21:43:23.2002355Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float16 PASSED [0.0097s] [ 39%] 2024-08-20T21:43:23.2002978Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float32 PASSED [0.0099s] [ 39%] 2024-08-20T21:43:23.2003605Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float64 PASSED [0.0097s] [ 39%] 2024-08-20T21:43:23.2004208Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int16 PASSED [0.0099s] [ 39%] 2024-08-20T21:43:23.2004819Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int32 PASSED [0.0097s] [ 39%] 2024-08-20T21:43:23.2005442Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int64 PASSED [0.0097s] [ 39%] 2024-08-20T21:43:23.2006044Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int8 PASSED [0.0098s] [ 39%] 2024-08-20T21:43:23.2006654Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_uint8 PASSED [0.0096s] [ 39%] 2024-08-20T21:43:23.2007231Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int16 PASSED [0.0096s] [ 39%] 2024-08-20T21:43:23.2007817Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int32 PASSED [0.0094s] [ 39%] 2024-08-20T21:43:23.2008422Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int64 PASSED [0.0097s] [ 39%] 2024-08-20T21:43:23.2008992Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int8 PASSED [0.0095s] [ 39%] 2024-08-20T21:43:23.2009575Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_uint8 PASSED [0.0096s] [ 39%] 2024-08-20T21:43:23.2010186Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bfloat16 PASSED [0.0095s] [ 39%] 2024-08-20T21:43:23.2010766Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bool PASSED [0.0096s] [ 40%] 2024-08-20T21:43:23.2011393Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex128 PASSED [0.0096s] [ 40%] 2024-08-20T21:43:23.2012005Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex64 PASSED [0.0096s] [ 40%] 2024-08-20T21:43:23.2012618Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float16 PASSED [0.0096s] [ 40%] 2024-08-20T21:43:23.2013210Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float32 PASSED [0.0094s] [ 40%] 2024-08-20T21:43:23.2013804Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float64 PASSED [0.0097s] [ 40%] 2024-08-20T21:43:23.2014400Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int16 PASSED [0.0094s] [ 40%] 2024-08-20T21:43:23.2014990Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int32 PASSED [0.0096s] [ 40%] 2024-08-20T21:43:23.2015620Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int64 PASSED [0.0094s] [ 40%] 2024-08-20T21:43:23.2016196Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int8 PASSED [0.0096s] [ 40%] 2024-08-20T21:43:23.2016779Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_uint8 PASSED [0.0094s] [ 40%] 2024-08-20T21:43:23.2017375Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bfloat16 PASSED [0.0096s] [ 40%] 2024-08-20T21:43:23.2017945Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bool PASSED [0.0093s] [ 40%] 2024-08-20T21:43:23.2018560Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float16 PASSED [0.0094s] [ 40%] 2024-08-20T21:43:23.2019178Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float32 PASSED [0.0095s] [ 40%] 2024-08-20T21:43:23.2019763Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float64 PASSED [0.0094s] [ 40%] 2024-08-20T21:43:23.2020342Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int16 PASSED [0.0096s] [ 40%] 2024-08-20T21:43:23.2020974Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int32 PASSED [0.0094s] [ 40%] 2024-08-20T21:43:23.2021555Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int64 PASSED [0.0097s] [ 40%] 2024-08-20T21:43:23.2022132Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int8 PASSED [0.0094s] [ 40%] 2024-08-20T21:43:23.2022731Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_uint8 PASSED [0.0096s] [ 40%] 2024-08-20T21:43:23.2023347Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_bfloat16 PASSED [0.0120s] [ 40%] 2024-08-20T21:43:23.2023957Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex128 PASSED [0.0167s] [ 40%] 2024-08-20T21:43:23.2024560Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex64 PASSED [0.0164s] [ 40%] 2024-08-20T21:43:23.2025161Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float16 PASSED [0.0121s] [ 40%] 2024-08-20T21:43:23.2026065Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float32 PASSED [0.0122s] [ 40%] 2024-08-20T21:43:23.2026670Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float64 PASSED [0.0120s] [ 40%] 2024-08-20T21:43:23.2027284Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bfloat16 PASSED [0.0062s] [ 40%] 2024-08-20T21:43:23.2027871Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bool PASSED [0.0060s] [ 40%] 2024-08-20T21:43:23.2028495Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float16 PASSED [0.0063s] [ 40%] 2024-08-20T21:43:23.2029098Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float32 PASSED [0.0061s] [ 40%] 2024-08-20T21:43:23.2029696Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float64 PASSED [0.0062s] [ 40%] 2024-08-20T21:43:23.2030304Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int16 PASSED [0.0061s] [ 40%] 2024-08-20T21:43:23.2030892Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int32 PASSED [0.0062s] [ 40%] 2024-08-20T21:43:23.2031496Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int64 PASSED [0.0060s] [ 40%] 2024-08-20T21:43:23.2032082Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int8 PASSED [0.0060s] [ 40%] 2024-08-20T21:43:23.2032675Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_uint8 PASSED [0.0062s] [ 40%] 2024-08-20T21:43:23.2033433Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex128 PASSED [0.0141s] [ 40%] 2024-08-20T21:43:23.2034108Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex64 PASSED [0.0143s] [ 40%] 2024-08-20T21:43:23.2034787Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float32 PASSED [0.0135s] [ 40%] 2024-08-20T21:43:23.2035446Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float64 PASSED [0.0138s] [ 40%] 2024-08-20T21:43:23.2036136Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex128 PASSED [0.0139s] [ 40%] 2024-08-20T21:43:23.2036877Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex64 PASSED [0.0141s] [ 40%] 2024-08-20T21:43:23.2037560Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float32 PASSED [0.0136s] [ 40%] 2024-08-20T21:43:23.2038250Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float64 PASSED [0.0134s] [ 40%] 2024-08-20T21:43:23.2038906Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex128 PASSED [0.0070s] [ 40%] 2024-08-20T21:43:23.2039554Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex64 PASSED [0.0064s] [ 40%] 2024-08-20T21:43:23.2040239Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float32 PASSED [0.0066s] [ 40%] 2024-08-20T21:43:23.2040879Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float64 PASSED [0.0063s] [ 40%] 2024-08-20T21:43:23.2041534Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_bfloat16 PASSED [0.0063s] [ 40%] 2024-08-20T21:43:23.2042193Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex128 PASSED [0.0062s] [ 40%] 2024-08-20T21:43:23.2042844Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex64 PASSED [0.0062s] [ 40%] 2024-08-20T21:43:23.2043534Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float16 PASSED [0.0063s] [ 40%] 2024-08-20T21:43:23.2044174Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float32 PASSED [0.0061s] [ 40%] 2024-08-20T21:43:23.2044811Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float64 PASSED [0.0063s] [ 40%] 2024-08-20T21:43:23.2045454Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int16 PASSED [0.0062s] [ 40%] 2024-08-20T21:43:23.2046083Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int32 PASSED [0.0064s] [ 40%] 2024-08-20T21:43:23.2046730Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int64 PASSED [0.0062s] [ 40%] 2024-08-20T21:43:23.2047349Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int8 PASSED [0.0064s] [ 40%] 2024-08-20T21:43:23.2047977Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_uint8 PASSED [0.0062s] [ 40%] 2024-08-20T21:43:23.2048642Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex128 PASSED [0.0114s] [ 41%] 2024-08-20T21:43:23.2049289Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex64 PASSED [0.0110s] [ 41%] 2024-08-20T21:43:23.2049936Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float32 PASSED [0.0107s] [ 41%] 2024-08-20T21:43:23.2050562Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float64 PASSED [0.0108s] [ 41%] 2024-08-20T21:43:23.2051295Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_singular_cpu_complex128 PASSED [0.0290s] [ 41%] 2024-08-20T21:43:23.2052002Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_singular_cpu_complex64 PASSED [0.0285s] [ 41%] 2024-08-20T21:43:23.2052678Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_singular_cpu_float32 PASSED [0.0272s] [ 41%] 2024-08-20T21:43:23.2053366Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_singular_cpu_float64 PASSED [0.0279s] [ 41%] 2024-08-20T21:43:23.2064716Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bfloat16 PASSED [0.0124s] [ 41%] 2024-08-20T21:43:23.2065725Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bool PASSED [0.0122s] [ 41%] 2024-08-20T21:43:23.2066435Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex128 PASSED [0.0126s] [ 41%] 2024-08-20T21:43:23.2067121Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex32 PASSED [0.0125s] [ 41%] 2024-08-20T21:43:23.2067820Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex64 PASSED [0.0127s] [ 41%] 2024-08-20T21:43:23.2068483Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float16 PASSED [0.0123s] [ 41%] 2024-08-20T21:43:23.2069196Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float32 PASSED [0.0125s] [ 41%] 2024-08-20T21:43:23.2069861Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float64 PASSED [0.0122s] [ 41%] 2024-08-20T21:43:23.2070514Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int16 PASSED [0.0125s] [ 41%] 2024-08-20T21:43:23.2071183Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int32 PASSED [0.0125s] [ 41%] 2024-08-20T21:43:23.2071829Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int64 PASSED [0.0123s] [ 41%] 2024-08-20T21:43:23.2072518Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int8 PASSED [0.0126s] [ 41%] 2024-08-20T21:43:23.2073177Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_uint8 PASSED [0.0123s] [ 41%] 2024-08-20T21:43:23.2073824Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex128 PASSED [0.0110s] [ 41%] 2024-08-20T21:43:23.2074488Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex64 PASSED [0.0107s] [ 41%] 2024-08-20T21:43:23.2075122Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float32 PASSED [0.0108s] [ 41%] 2024-08-20T21:43:23.2075754Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float64 PASSED [0.0106s] [ 41%] 2024-08-20T21:43:23.2076429Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex128 PASSED [0.0106s] [ 41%] 2024-08-20T21:43:23.2077081Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex64 PASSED [0.0108s] [ 41%] 2024-08-20T21:43:23.2077735Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float32 PASSED [0.0105s] [ 41%] 2024-08-20T21:43:23.2078373Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float64 PASSED [0.0111s] [ 41%] 2024-08-20T21:43:23.2079049Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex128 PASSED [0.0104s] [ 41%] 2024-08-20T21:43:23.2079771Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex64 PASSED [0.0107s] [ 41%] 2024-08-20T21:43:23.2080427Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float32 PASSED [0.0104s] [ 41%] 2024-08-20T21:43:23.2081096Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float64 PASSED [0.0102s] [ 41%] 2024-08-20T21:43:23.2081782Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex128 PASSED [0.0107s] [ 41%] 2024-08-20T21:43:23.2082461Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex64 PASSED [0.0105s] [ 41%] 2024-08-20T21:43:23.2083136Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float32 PASSED [0.0106s] [ 41%] 2024-08-20T21:43:23.2083821Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float64 PASSED [0.0102s] [ 41%] 2024-08-20T21:43:23.2084590Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex128 PASSED [0.0094s] [ 41%] 2024-08-20T21:43:23.2085334Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex64 PASSED [0.0093s] [ 41%] 2024-08-20T21:43:23.2086065Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float32 PASSED [0.0090s] [ 41%] 2024-08-20T21:43:23.2086840Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float64 PASSED [0.0092s] [ 41%] 2024-08-20T21:43:23.2087496Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex128 PASSED [0.0103s] [ 41%] 2024-08-20T21:43:23.2088411Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex64 PASSED [0.0106s] [ 41%] 2024-08-20T21:43:23.2089055Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float32 PASSED [0.0101s] [ 41%] 2024-08-20T21:43:23.2089690Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float64 PASSED [0.0102s] [ 41%] 2024-08-20T21:43:23.2090415Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex128 PASSED [0.0103s] [ 41%] 2024-08-20T21:43:23.2091074Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex64 PASSED [0.0104s] [ 41%] 2024-08-20T21:43:23.2091721Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float32 PASSED [0.0103s] [ 41%] 2024-08-20T21:43:23.2092375Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float64 PASSED [0.0100s] [ 41%] 2024-08-20T21:43:23.2093064Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex128 PASSED [0.0087s] [ 41%] 2024-08-20T21:43:23.2093761Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex64 PASSED [0.0081s] [ 41%] 2024-08-20T21:43:23.2094435Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float32 PASSED [0.0070s] [ 41%] 2024-08-20T21:43:23.2095101Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float64 PASSED [0.0068s] [ 41%] 2024-08-20T21:43:23.2095823Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex128 PASSED [0.0081s] [ 41%] 2024-08-20T21:43:23.2096523Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex64 PASSED [0.0083s] [ 41%] 2024-08-20T21:43:23.2097223Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float32 PASSED [0.0068s] [ 41%] 2024-08-20T21:43:23.2097933Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float64 PASSED [0.0070s] [ 41%] 2024-08-20T21:43:23.2098613Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex128 PASSED [0.0245s] [ 41%] 2024-08-20T21:43:23.2099308Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex64 PASSED [0.0232s] [ 41%] 2024-08-20T21:43:23.2099973Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float32 PASSED [0.0188s] [ 42%] 2024-08-20T21:43:23.2100649Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float64 PASSED [0.0173s] [ 42%] 2024-08-20T21:43:23.2101401Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex128 PASSED [0.0338s] [ 42%] 2024-08-20T21:43:23.2102093Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex64 PASSED [0.0334s] [ 42%] 2024-08-20T21:43:23.2102753Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float32 PASSED [0.0330s] [ 42%] 2024-08-20T21:43:23.2103393Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float64 PASSED [0.0325s] [ 42%] 2024-08-20T21:43:23.2104150Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex128 PASSED [0.0339s] [ 42%] 2024-08-20T21:43:23.2104925Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex64 PASSED [0.0335s] [ 42%] 2024-08-20T21:43:23.2105651Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float32 PASSED [0.0325s] [ 42%] 2024-08-20T21:43:23.2106387Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float64 PASSED [0.0328s] [ 42%] 2024-08-20T21:43:23.2107031Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex128 PASSED [0.0127s] [ 42%] 2024-08-20T21:43:23.2107682Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex64 PASSED [0.0134s] [ 42%] 2024-08-20T21:43:23.2108340Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float32 PASSED [0.0125s] [ 42%] 2024-08-20T21:43:23.2108969Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float64 PASSED [0.0127s] [ 42%] 2024-08-20T21:43:23.2109664Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex128 PASSED [0.0169s] [ 42%] 2024-08-20T21:43:23.2110340Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex64 PASSED [0.0168s] [ 42%] 2024-08-20T21:43:23.2111016Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float32 PASSED [0.0170s] [ 42%] 2024-08-20T21:43:23.2111683Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float64 PASSED [0.0161s] [ 42%] 2024-08-20T21:43:23.2112379Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex128 PASSED [0.0129s] [ 42%] 2024-08-20T21:43:23.2113085Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex64 PASSED [0.0127s] [ 42%] 2024-08-20T21:43:23.2113763Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float32 PASSED [0.0127s] [ 42%] 2024-08-20T21:43:23.2114456Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float64 PASSED [0.0125s] [ 42%] 2024-08-20T21:43:23.2115136Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex128 PASSED [0.0663s] [ 42%] 2024-08-20T21:43:23.2115837Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex64 PASSED [0.0672s] [ 42%] 2024-08-20T21:43:23.2116507Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float32 PASSED [0.0664s] [ 42%] 2024-08-20T21:43:23.2117160Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float64 PASSED [0.0657s] [ 42%] 2024-08-20T21:43:23.2117837Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_bfloat16 PASSED [0.0261s] [ 42%] 2024-08-20T21:43:23.2118546Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex128 PASSED [0.0397s] [ 42%] 2024-08-20T21:43:23.2119264Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex64 PASSED [0.0397s] [ 42%] 2024-08-20T21:43:23.2119961Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float16 PASSED [0.0262s] [ 42%] 2024-08-20T21:43:23.2120634Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float32 PASSED [0.0396s] [ 42%] 2024-08-20T21:43:23.2121309Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float64 PASSED [0.0388s] [ 42%] 2024-08-20T21:43:23.2122020Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex128 PASSED [0.0173s] [ 42%] 2024-08-20T21:43:23.2122740Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex64 PASSED [0.0163s] [ 42%] 2024-08-20T21:43:23.2123432Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float32 PASSED [0.0166s] [ 42%] 2024-08-20T21:43:23.2124109Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float64 PASSED [0.0161s] [ 42%] 2024-08-20T21:43:23.2124805Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex128 PASSED [0.0553s] [ 42%] 2024-08-20T21:43:23.2125508Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex64 PASSED [0.0564s] [ 42%] 2024-08-20T21:43:23.2126432Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float32 PASSED [0.0544s] [ 42%] 2024-08-20T21:43:23.2127126Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float64 PASSED [0.0541s] [ 42%] 2024-08-20T21:43:23.2127875Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex128 PASSED [0.0104s] [ 42%] 2024-08-20T21:43:23.2128621Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex64 PASSED [0.0106s] [ 42%] 2024-08-20T21:43:23.2129367Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float32 PASSED [0.0102s] [ 42%] 2024-08-20T21:43:23.2130095Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float64 PASSED [0.0102s] [ 42%] 2024-08-20T21:43:23.2130785Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_bfloat16 PASSED [0.0086s] [ 42%] 2024-08-20T21:43:23.2131468Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex128 PASSED [0.0085s] [ 42%] 2024-08-20T21:43:23.2132146Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex64 PASSED [0.0087s] [ 42%] 2024-08-20T21:43:23.2132824Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float16 PASSED [0.0083s] [ 42%] 2024-08-20T21:43:23.2133489Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float32 PASSED [0.0086s] [ 42%] 2024-08-20T21:43:23.2134237Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float64 PASSED [0.0084s] [ 42%] 2024-08-20T21:43:23.2134888Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int16 PASSED [0.0085s] [ 42%] 2024-08-20T21:43:23.2135538Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int32 PASSED [0.0083s] [ 42%] 2024-08-20T21:43:23.2136197Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int64 PASSED [0.0084s] [ 42%] 2024-08-20T21:43:23.2136842Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int8 PASSED [0.0090s] [ 42%] 2024-08-20T21:43:23.2137535Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_uint8 PASSED [0.0084s] [ 42%] 2024-08-20T21:43:23.2138183Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_bfloat16 PASSED [0.0471s] [ 42%] 2024-08-20T21:43:23.2138829Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex128 PASSED [0.0602s] [ 42%] 2024-08-20T21:43:23.2139488Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex64 PASSED [0.0607s] [ 42%] 2024-08-20T21:43:23.2140120Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float16 PASSED [0.0465s] [ 42%] 2024-08-20T21:43:23.2140804Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float32 PASSED [0.0591s] [ 42%] 2024-08-20T21:43:23.2141536Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float64 PASSED [0.0597s] [ 43%] 2024-08-20T21:43:23.2142309Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_bfloat16 PASSED [0.0353s] [ 43%] 2024-08-20T21:43:23.2143102Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex128 PASSED [0.0442s] [ 43%] 2024-08-20T21:43:23.2143877Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex64 PASSED [0.0430s] [ 43%] 2024-08-20T21:43:23.2144679Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float16 PASSED [0.0356s] [ 43%] 2024-08-20T21:43:23.2145455Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float32 PASSED [0.0438s] [ 43%] 2024-08-20T21:43:23.2146207Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float64 PASSED [0.0432s] [ 43%] 2024-08-20T21:43:23.2146883Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex128 PASSED [0.0195s] [ 43%] 2024-08-20T21:43:23.2147538Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex64 PASSED [0.0191s] [ 43%] 2024-08-20T21:43:23.2148175Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float32 PASSED [0.0190s] [ 43%] 2024-08-20T21:43:23.2148831Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float64 PASSED [0.0186s] [ 43%] 2024-08-20T21:43:23.2149544Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex128 PASSED [0.0105s] [ 43%] 2024-08-20T21:43:23.2150267Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex64 PASSED [0.0107s] [ 43%] 2024-08-20T21:43:23.2150962Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float32 PASSED [0.0103s] [ 43%] 2024-08-20T21:43:23.2151680Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float64 PASSED [0.0109s] [ 43%] 2024-08-20T21:43:23.2152778Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex128 SKIPPED [0.0011s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 43%] 2024-08-20T21:43:23.2153841Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex64 SKIPPED [0.0011s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 43%] 2024-08-20T21:43:23.2154905Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float32 SKIPPED [0.0011s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 43%] 2024-08-20T21:43:23.2155970Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float64 SKIPPED [0.0011s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 43%] 2024-08-20T21:43:23.2156634Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex128 PASSED [0.0296s] [ 43%] 2024-08-20T21:43:23.2157271Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex64 PASSED [0.0304s] [ 43%] 2024-08-20T21:43:23.2157897Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float32 PASSED [0.0290s] [ 43%] 2024-08-20T21:43:23.2158533Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float64 PASSED [0.0290s] [ 43%] 2024-08-20T21:43:23.2159250Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex128 PASSED [0.0110s] [ 43%] 2024-08-20T21:43:23.2159935Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex64 PASSED [0.0112s] [ 43%] 2024-08-20T21:43:23.2160593Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float32 PASSED [0.0109s] [ 43%] 2024-08-20T21:43:23.2161248Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float64 PASSED [0.0106s] [ 43%] 2024-08-20T21:43:23.2161926Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex128 PASSED [0.0177s] [ 43%] 2024-08-20T21:43:23.2162635Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex64 PASSED [0.0176s] [ 43%] 2024-08-20T21:43:23.2163280Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float32 PASSED [0.0174s] [ 43%] 2024-08-20T21:43:23.2163935Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float64 PASSED [0.0169s] [ 43%] 2024-08-20T21:43:23.2164609Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex128 PASSED [0.0178s] [ 43%] 2024-08-20T21:43:23.2165292Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex64 PASSED [0.0177s] [ 43%] 2024-08-20T21:43:23.2165947Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float32 PASSED [0.0171s] [ 43%] 2024-08-20T21:43:23.2166601Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float64 PASSED [0.0170s] [ 43%] 2024-08-20T21:43:23.2167340Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex128 PASSED [0.0894s] [ 43%] 2024-08-20T21:43:23.2168061Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex64 PASSED [0.0903s] [ 43%] 2024-08-20T21:43:23.2168777Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float32 PASSED [0.0877s] [ 43%] 2024-08-20T21:43:23.2169477Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float64 PASSED [0.0874s] [ 43%] 2024-08-20T21:43:23.2170159Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex128 PASSED [0.1557s] [ 43%] 2024-08-20T21:43:23.2170815Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex64 PASSED [0.1562s] [ 43%] 2024-08-20T21:43:23.2171450Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float32 PASSED [0.1517s] [ 43%] 2024-08-20T21:43:23.2172092Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float64 PASSED [0.1489s] [ 43%] 2024-08-20T21:43:23.2172771Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex128 PASSED [0.0246s] [ 43%] 2024-08-20T21:43:23.2173437Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex64 PASSED [0.0241s] [ 43%] 2024-08-20T21:43:23.2174147Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float32 PASSED [0.0240s] [ 43%] 2024-08-20T21:43:23.2174805Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float64 PASSED [0.0239s] [ 43%] 2024-08-20T21:43:23.2175505Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex128 PASSED [0.0068s] [ 43%] 2024-08-20T21:43:23.2176186Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex64 PASSED [0.0067s] [ 43%] 2024-08-20T21:43:23.2176880Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float32 PASSED [0.0063s] [ 43%] 2024-08-20T21:43:23.2177562Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float64 PASSED [0.0066s] [ 43%] 2024-08-20T21:43:23.2178266Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex128 PASSED [0.0069s] [ 43%] 2024-08-20T21:43:23.2178971Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex64 PASSED [0.0070s] [ 43%] 2024-08-20T21:43:23.2179648Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float32 PASSED [0.0068s] [ 43%] 2024-08-20T21:43:23.2180355Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float64 PASSED [0.0068s] [ 43%] 2024-08-20T21:43:23.2181120Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex128 PASSED [0.0100s] [ 43%] 2024-08-20T21:43:23.2181790Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex64 PASSED [0.0098s] [ 43%] 2024-08-20T21:43:23.2182441Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float32 PASSED [0.0099s] [ 43%] 2024-08-20T21:43:23.2183106Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float64 PASSED [0.0096s] [ 43%] 2024-08-20T21:43:23.2183742Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int16 PASSED [0.0103s] [ 44%] 2024-08-20T21:43:23.2184392Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int32 PASSED [0.0097s] [ 44%] 2024-08-20T21:43:23.2185034Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int64 PASSED [0.0099s] [ 44%] 2024-08-20T21:43:23.2185667Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int8 PASSED [0.0097s] [ 44%] 2024-08-20T21:43:23.2186319Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_uint8 PASSED [0.0097s] [ 44%] 2024-08-20T21:43:23.2186977Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_bfloat16 PASSED [0.0282s] [ 44%] 2024-08-20T21:43:23.2187694Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex128 PASSED [0.0282s] [ 44%] 2024-08-20T21:43:23.2188537Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex64 PASSED [0.0286s] [ 44%] 2024-08-20T21:43:23.2189197Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float16 PASSED [0.0279s] [ 44%] 2024-08-20T21:43:23.2189856Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float32 PASSED [0.0280s] [ 44%] 2024-08-20T21:43:23.2190499Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float64 PASSED [0.0276s] [ 44%] 2024-08-20T21:43:23.2191192Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_bfloat16 PASSED [0.0917s] [ 44%] 2024-08-20T21:43:23.2191926Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex128 PASSED [0.0922s] [ 44%] 2024-08-20T21:43:23.2192622Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex64 PASSED [0.0904s] [ 44%] 2024-08-20T21:43:23.2193316Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float16 PASSED [0.0918s] [ 44%] 2024-08-20T21:43:23.2193996Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float32 PASSED [0.0904s] [ 44%] 2024-08-20T21:43:23.2194688Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float64 PASSED [0.0910s] [ 44%] 2024-08-20T21:43:23.2195346Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_bfloat16 PASSED [0.0386s] [ 44%] 2024-08-20T21:43:23.2195987Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex128 PASSED [0.0383s] [ 44%] 2024-08-20T21:43:23.2196630Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex64 PASSED [0.0389s] [ 44%] 2024-08-20T21:43:23.2197251Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float16 PASSED [0.0382s] [ 44%] 2024-08-20T21:43:23.2197886Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float32 PASSED [0.0392s] [ 44%] 2024-08-20T21:43:23.2198542Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float64 PASSED [0.0383s] [ 44%] 2024-08-20T21:43:23.2199150Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int16 PASSED [0.0388s] [ 44%] 2024-08-20T21:43:23.2199771Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int32 PASSED [0.0383s] [ 44%] 2024-08-20T21:43:23.2200371Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int64 PASSED [0.0384s] [ 44%] 2024-08-20T21:43:23.2200972Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int8 PASSED [0.0386s] [ 44%] 2024-08-20T21:43:23.2201585Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_uint8 PASSED [0.0252s] [ 44%] 2024-08-20T21:43:23.2202301Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_bfloat16 PASSED [0.0953s] [ 44%] 2024-08-20T21:43:23.2203044Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex128 PASSED [0.0959s] [ 44%] 2024-08-20T21:43:23.2203773Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex64 PASSED [0.0949s] [ 44%] 2024-08-20T21:43:23.2204486Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float16 PASSED [0.0959s] [ 44%] 2024-08-20T21:43:23.2205214Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float32 PASSED [0.0953s] [ 44%] 2024-08-20T21:43:23.2205961Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float64 PASSED [0.0958s] [ 44%] 2024-08-20T21:43:23.2206680Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int16 PASSED [0.0950s] [ 44%] 2024-08-20T21:43:23.2207377Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int32 PASSED [0.0949s] [ 44%] 2024-08-20T21:43:23.2208066Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int64 PASSED [0.0945s] [ 44%] 2024-08-20T21:43:23.2208770Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int8 PASSED [0.0948s] [ 44%] 2024-08-20T21:43:23.2209487Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_uint8 PASSED [0.0600s] [ 44%] 2024-08-20T21:43:23.2210111Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bfloat16 PASSED [0.0063s] [ 44%] 2024-08-20T21:43:23.2210697Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bool PASSED [0.0064s] [ 44%] 2024-08-20T21:43:23.2211317Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex128 PASSED [0.0062s] [ 44%] 2024-08-20T21:43:23.2211941Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex64 PASSED [0.0068s] [ 44%] 2024-08-20T21:43:23.2212567Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float16 PASSED [0.0061s] [ 44%] 2024-08-20T21:43:23.2213179Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float32 PASSED [0.0063s] [ 44%] 2024-08-20T21:43:23.2213771Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float64 PASSED [0.0062s] [ 44%] 2024-08-20T21:43:23.2214361Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int16 PASSED [0.0061s] [ 44%] 2024-08-20T21:43:23.2214960Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int32 PASSED [0.0062s] [ 44%] 2024-08-20T21:43:23.2215578Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int64 PASSED [0.0061s] [ 44%] 2024-08-20T21:43:23.2216162Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int8 PASSED [0.0063s] [ 44%] 2024-08-20T21:43:23.2216756Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_uint8 PASSED [0.0061s] [ 44%] 2024-08-20T21:43:23.2217366Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bfloat16 PASSED [0.0053s] [ 44%] 2024-08-20T21:43:23.2217965Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bool PASSED [0.0051s] [ 44%] 2024-08-20T21:43:23.2218592Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex128 PASSED [0.0053s] [ 44%] 2024-08-20T21:43:23.2219205Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex64 PASSED [0.0051s] [ 44%] 2024-08-20T21:43:23.2219821Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float16 PASSED [0.0053s] [ 44%] 2024-08-20T21:43:23.2220413Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float32 PASSED [0.0051s] [ 44%] 2024-08-20T21:43:23.2221102Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float64 PASSED [0.0051s] [ 44%] 2024-08-20T21:43:23.2221702Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int16 PASSED [0.0052s] [ 44%] 2024-08-20T21:43:23.2222294Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int32 PASSED [0.0051s] [ 44%] 2024-08-20T21:43:23.2222932Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int64 PASSED [0.0053s] [ 45%] 2024-08-20T21:43:23.2223510Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int8 PASSED [0.0051s] [ 45%] 2024-08-20T21:43:23.2224109Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_uint8 PASSED [0.0053s] [ 45%] 2024-08-20T21:43:23.2224715Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bfloat16 PASSED [0.0061s] [ 45%] 2024-08-20T21:43:23.2225291Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bool PASSED [0.0067s] [ 45%] 2024-08-20T21:43:23.2226096Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex128 PASSED [0.0061s] [ 45%] 2024-08-20T21:43:23.2226717Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex64 PASSED [0.0063s] [ 45%] 2024-08-20T21:43:23.2227373Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float16 PASSED [0.0061s] [ 45%] 2024-08-20T21:43:23.2227985Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float32 PASSED [0.0061s] [ 45%] 2024-08-20T21:43:23.2228570Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float64 PASSED [0.0063s] [ 45%] 2024-08-20T21:43:23.2229171Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int16 PASSED [0.0061s] [ 45%] 2024-08-20T21:43:23.2229753Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int32 PASSED [0.0063s] [ 45%] 2024-08-20T21:43:23.2230372Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int64 PASSED [0.0061s] [ 45%] 2024-08-20T21:43:23.2230966Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int8 PASSED [0.0064s] [ 45%] 2024-08-20T21:43:23.2231546Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_uint8 PASSED [0.0061s] [ 45%] 2024-08-20T21:43:23.2232155Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bfloat16 PASSED [0.0063s] [ 45%] 2024-08-20T21:43:23.2232727Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bool PASSED [0.0062s] [ 45%] 2024-08-20T21:43:23.2233382Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex128 PASSED [0.0064s] [ 45%] 2024-08-20T21:43:23.2233997Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex64 PASSED [0.0062s] [ 45%] 2024-08-20T21:43:23.2234586Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float16 PASSED [0.0061s] [ 45%] 2024-08-20T21:43:23.2235170Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float32 PASSED [0.0063s] [ 45%] 2024-08-20T21:43:23.2235775Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float64 PASSED [0.0061s] [ 45%] 2024-08-20T21:43:23.2236354Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int16 PASSED [0.0063s] [ 45%] 2024-08-20T21:43:23.2236945Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int32 PASSED [0.0061s] [ 45%] 2024-08-20T21:43:23.2237522Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int64 PASSED [0.0064s] [ 45%] 2024-08-20T21:43:23.2238092Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int8 PASSED [0.0061s] [ 45%] 2024-08-20T21:43:23.2238684Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_uint8 PASSED [0.0067s] [ 45%] 2024-08-20T21:43:23.2239325Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_bfloat16 PASSED [0.0061s] [ 45%] 2024-08-20T21:43:23.2239971Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float16 PASSED [0.0063s] [ 45%] 2024-08-20T21:43:23.2240652Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float32 PASSED [0.0061s] [ 45%] 2024-08-20T21:43:23.2241280Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float64 PASSED [0.0061s] [ 45%] 2024-08-20T21:43:23.2241943Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_bfloat16 PASSED [0.0083s] [ 45%] 2024-08-20T21:43:23.2242580Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float16 PASSED [0.0081s] [ 45%] 2024-08-20T21:43:23.2243233Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float32 PASSED [0.0083s] [ 45%] 2024-08-20T21:43:23.2243869Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float64 PASSED [0.0081s] [ 45%] 2024-08-20T21:43:23.2244600Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bfloat16 PASSED [0.0083s] [ 45%] 2024-08-20T21:43:23.2245305Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bool PASSED [0.0081s] [ 45%] 2024-08-20T21:43:23.2246024Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex128 PASSED [0.0084s] [ 45%] 2024-08-20T21:43:23.2246750Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex32 PASSED [0.0082s] [ 45%] 2024-08-20T21:43:23.2247488Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex64 PASSED [0.0084s] [ 45%] 2024-08-20T21:43:23.2248190Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float16 PASSED [0.0081s] [ 45%] 2024-08-20T21:43:23.2248902Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float32 PASSED [0.0081s] [ 45%] 2024-08-20T21:43:23.2249588Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float64 PASSED [0.0083s] [ 45%] 2024-08-20T21:43:23.2250286Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int16 PASSED [0.0081s] [ 45%] 2024-08-20T21:43:23.2251000Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int32 PASSED [0.0083s] [ 45%] 2024-08-20T21:43:23.2251671Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int64 PASSED [0.0081s] [ 45%] 2024-08-20T21:43:23.2252363Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int8 PASSED [0.0083s] [ 45%] 2024-08-20T21:43:23.2253052Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_uint8 PASSED [0.0081s] [ 45%] 2024-08-20T21:43:23.2253695Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_bfloat16 PASSED [0.0057s] [ 45%] 2024-08-20T21:43:23.2254344Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float16 PASSED [0.0051s] [ 45%] 2024-08-20T21:43:23.2254983Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float32 PASSED [0.0053s] [ 45%] 2024-08-20T21:43:23.2255630Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float64 PASSED [0.0051s] [ 45%] 2024-08-20T21:43:23.2256266Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_bfloat16 PASSED [0.0095s] [ 45%] 2024-08-20T21:43:23.2256908Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex128 PASSED [0.0098s] [ 45%] 2024-08-20T21:43:23.2257562Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex64 PASSED [0.0096s] [ 45%] 2024-08-20T21:43:23.2258222Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float16 PASSED [0.0097s] [ 45%] 2024-08-20T21:43:23.2258865Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float32 PASSED [0.0095s] [ 45%] 2024-08-20T21:43:23.2259492Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float64 PASSED [0.0097s] [ 45%] 2024-08-20T21:43:23.2260145Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_bfloat16 PASSED [0.0078s] [ 45%] 2024-08-20T21:43:23.2260825Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex128 PASSED [0.0081s] [ 46%] 2024-08-20T21:43:23.2261559Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex64 PASSED [0.0078s] [ 46%] 2024-08-20T21:43:23.2262251Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float16 PASSED [0.0079s] [ 46%] 2024-08-20T21:43:23.2262903Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float32 PASSED [0.0077s] [ 46%] 2024-08-20T21:43:23.2263538Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float64 PASSED [0.0077s] [ 46%] 2024-08-20T21:43:23.2264181Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex128 PASSED [0.0114s] [ 46%] 2024-08-20T21:43:23.2264801Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex64 PASSED [0.0113s] [ 46%] 2024-08-20T21:43:23.2265450Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float32 PASSED [0.0117s] [ 46%] 2024-08-20T21:43:23.2266054Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float64 PASSED [0.0112s] [ 46%] 2024-08-20T21:43:23.2266694Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bfloat16 PASSED [0.0097s] [ 46%] 2024-08-20T21:43:23.2267329Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bool PASSED [0.0093s] [ 46%] 2024-08-20T21:43:23.2267981Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex128 PASSED [0.0096s] [ 46%] 2024-08-20T21:43:23.2268665Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex64 PASSED [0.0098s] [ 46%] 2024-08-20T21:43:23.2269317Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float16 PASSED [0.0095s] [ 46%] 2024-08-20T21:43:23.2269950Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float32 PASSED [0.0097s] [ 46%] 2024-08-20T21:43:23.2270602Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float64 PASSED [0.0095s] [ 46%] 2024-08-20T21:43:23.2271226Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int16 PASSED [0.0097s] [ 46%] 2024-08-20T21:43:23.2271854Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int32 PASSED [0.0095s] [ 46%] 2024-08-20T21:43:23.2272494Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int64 PASSED [0.0096s] [ 46%] 2024-08-20T21:43:23.2273115Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int8 PASSED [0.0094s] [ 46%] 2024-08-20T21:43:23.2273748Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_uint8 PASSED [0.0095s] [ 46%] 2024-08-20T21:43:23.2274393Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bfloat16 PASSED [0.0063s] [ 46%] 2024-08-20T21:43:23.2275009Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bool PASSED [0.0061s] [ 46%] 2024-08-20T21:43:23.2275677Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex128 PASSED [0.0063s] [ 46%] 2024-08-20T21:43:23.2276353Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex64 PASSED [0.0061s] [ 46%] 2024-08-20T21:43:23.2277002Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float16 PASSED [0.0063s] [ 46%] 2024-08-20T21:43:23.2277636Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float32 PASSED [0.0061s] [ 46%] 2024-08-20T21:43:23.2278271Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float64 PASSED [0.0063s] [ 46%] 2024-08-20T21:43:23.2278911Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int16 PASSED [0.0061s] [ 46%] 2024-08-20T21:43:23.2279561Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int32 PASSED [0.0062s] [ 46%] 2024-08-20T21:43:23.2280201Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int64 PASSED [0.0061s] [ 46%] 2024-08-20T21:43:23.2280816Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int8 PASSED [0.0061s] [ 46%] 2024-08-20T21:43:23.2281441Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_uint8 PASSED [0.0065s] [ 46%] 2024-08-20T21:43:23.2282088Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bfloat16 PASSED [0.0094s] [ 46%] 2024-08-20T21:43:23.2282731Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bool PASSED [0.0096s] [ 46%] 2024-08-20T21:43:23.2283385Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex128 PASSED [0.0096s] [ 46%] 2024-08-20T21:43:23.2284044Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex64 PASSED [0.0098s] [ 46%] 2024-08-20T21:43:23.2284679Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float16 PASSED [0.0095s] [ 46%] 2024-08-20T21:43:23.2285328Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float32 PASSED [0.0097s] [ 46%] 2024-08-20T21:43:23.2285990Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float64 PASSED [0.0095s] [ 46%] 2024-08-20T21:43:23.2286605Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int16 PASSED [0.0096s] [ 46%] 2024-08-20T21:43:23.2287240Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int32 PASSED [0.0094s] [ 46%] 2024-08-20T21:43:23.2287858Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int64 PASSED [0.0094s] [ 46%] 2024-08-20T21:43:23.2288669Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int8 PASSED [0.0096s] [ 46%] 2024-08-20T21:43:23.2289291Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_uint8 PASSED [0.0094s] [ 46%] 2024-08-20T21:43:23.2289935Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bfloat16 PASSED [0.0097s] [ 46%] 2024-08-20T21:43:23.2290568Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bool PASSED [0.0094s] [ 46%] 2024-08-20T21:43:23.2291226Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex128 PASSED [0.0098s] [ 46%] 2024-08-20T21:43:23.2291892Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex64 PASSED [0.0095s] [ 46%] 2024-08-20T21:43:23.2292534Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float16 PASSED [0.0097s] [ 46%] 2024-08-20T21:43:23.2293170Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float32 PASSED [0.0094s] [ 46%] 2024-08-20T21:43:23.2293862Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float64 PASSED [0.0096s] [ 46%] 2024-08-20T21:43:23.2294483Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int16 PASSED [0.0095s] [ 46%] 2024-08-20T21:43:23.2295112Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int32 PASSED [0.0094s] [ 46%] 2024-08-20T21:43:23.2295748Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int64 PASSED [0.0100s] [ 46%] 2024-08-20T21:43:23.2296370Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int8 PASSED [0.0094s] [ 46%] 2024-08-20T21:43:23.2297004Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_uint8 PASSED [0.0097s] [ 46%] 2024-08-20T21:43:23.2297642Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bfloat16 PASSED [0.0066s] [ 46%] 2024-08-20T21:43:23.2298229Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bool PASSED [0.0068s] [ 46%] 2024-08-20T21:43:23.2298843Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float16 PASSED [0.0066s] [ 46%] 2024-08-20T21:43:23.2299440Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float32 PASSED [0.0068s] [ 47%] 2024-08-20T21:43:23.2300045Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float64 PASSED [0.0067s] [ 47%] 2024-08-20T21:43:23.2300667Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int16 PASSED [0.0068s] [ 47%] 2024-08-20T21:43:23.2301321Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int32 PASSED [0.0066s] [ 47%] 2024-08-20T21:43:23.2301930Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int64 PASSED [0.0066s] [ 47%] 2024-08-20T21:43:23.2302515Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int8 PASSED [0.0068s] [ 47%] 2024-08-20T21:43:23.2303114Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_uint8 PASSED [0.0067s] [ 47%] 2024-08-20T21:43:23.2303793Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_bfloat16 PASSED [0.2256s] [ 47%] 2024-08-20T21:43:23.2304435Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex128 PASSED [0.2260s] [ 47%] 2024-08-20T21:43:23.2305093Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex64 PASSED [0.2249s] [ 47%] 2024-08-20T21:43:23.2305709Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float16 PASSED [0.2254s] [ 47%] 2024-08-20T21:43:23.2306331Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float32 PASSED [0.2278s] [ 47%] 2024-08-20T21:43:23.2306966Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float64 PASSED [0.2255s] [ 47%] 2024-08-20T21:43:23.2307578Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int16 PASSED [0.2124s] [ 47%] 2024-08-20T21:43:23.2308199Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int32 PASSED [0.2145s] [ 47%] 2024-08-20T21:43:23.2308801Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int64 PASSED [0.2134s] [ 47%] 2024-08-20T21:43:23.2309402Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int8 PASSED [0.0895s] [ 47%] 2024-08-20T21:43:23.2310021Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_uint8 PASSED [0.0717s] [ 47%] 2024-08-20T21:43:23.2310748Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_bfloat16 PASSED [0.6078s] [ 47%] 2024-08-20T21:43:23.2311527Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex128 PASSED [0.6039s] [ 47%] 2024-08-20T21:43:23.2312260Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex64 PASSED [0.6074s] [ 47%] 2024-08-20T21:43:23.2312980Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float16 PASSED [0.6101s] [ 47%] 2024-08-20T21:43:23.2313711Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float32 PASSED [0.6094s] [ 47%] 2024-08-20T21:43:23.2314426Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float64 PASSED [0.6114s] [ 47%] 2024-08-20T21:43:23.2315167Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int16 PASSED [0.5677s] [ 47%] 2024-08-20T21:43:23.2315872Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int32 PASSED [0.5681s] [ 47%] 2024-08-20T21:43:23.2316567Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int64 PASSED [0.5661s] [ 47%] 2024-08-20T21:43:23.2317279Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int8 PASSED [0.2300s] [ 47%] 2024-08-20T21:43:23.2317976Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_uint8 PASSED [0.1865s] [ 47%] 2024-08-20T21:43:23.2318657Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bfloat16 PASSED [0.0074s] [ 47%] 2024-08-20T21:43:23.2319275Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bool PASSED [0.0074s] [ 47%] 2024-08-20T21:43:23.2319901Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float16 PASSED [0.0072s] [ 47%] 2024-08-20T21:43:23.2320543Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float32 PASSED [0.0126s] [ 47%] 2024-08-20T21:43:23.2321200Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float64 PASSED [0.0123s] [ 47%] 2024-08-20T21:43:23.2321834Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int16 PASSED [0.0073s] [ 47%] 2024-08-20T21:43:23.2322448Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int32 PASSED [0.0072s] [ 47%] 2024-08-20T21:43:23.2323061Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int64 PASSED [0.0071s] [ 47%] 2024-08-20T21:43:23.2323692Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int8 PASSED [0.0076s] [ 47%] 2024-08-20T21:43:23.2324304Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_uint8 PASSED [0.0071s] [ 47%] 2024-08-20T21:43:23.2324903Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bfloat16 PASSED [0.0073s] [ 47%] 2024-08-20T21:43:23.2325498Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bool PASSED [0.0072s] [ 47%] 2024-08-20T21:43:23.2326312Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex128 PASSED [0.0074s] [ 47%] 2024-08-20T21:43:23.2326941Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex32 PASSED [0.0072s] [ 47%] 2024-08-20T21:43:23.2327546Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex64 PASSED [0.0074s] [ 47%] 2024-08-20T21:43:23.2328142Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float16 PASSED [0.0072s] [ 47%] 2024-08-20T21:43:23.2328819Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float32 PASSED [0.0073s] [ 47%] 2024-08-20T21:43:23.2329401Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float64 PASSED [0.0072s] [ 47%] 2024-08-20T21:43:23.2329995Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int16 PASSED [0.0072s] [ 47%] 2024-08-20T21:43:23.2330583Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int32 PASSED [0.0073s] [ 47%] 2024-08-20T21:43:23.2331166Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int64 PASSED [0.0071s] [ 47%] 2024-08-20T21:43:23.2331762Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int8 PASSED [0.0074s] [ 47%] 2024-08-20T21:43:23.2332343Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_uint8 PASSED [0.0071s] [ 47%] 2024-08-20T21:43:23.2332969Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bfloat16 PASSED [0.0098s] [ 47%] 2024-08-20T21:43:23.2333558Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bool PASSED [0.0095s] [ 47%] 2024-08-20T21:43:23.2334136Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float16 PASSED [0.0098s] [ 47%] 2024-08-20T21:43:23.2334733Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float32 PASSED [0.0095s] [ 47%] 2024-08-20T21:43:23.2335312Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float64 PASSED [0.0097s] [ 47%] 2024-08-20T21:43:23.2336110Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int16 PASSED [0.0095s] [ 47%] 2024-08-20T21:43:23.2336712Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int32 PASSED [0.0095s] [ 47%] 2024-08-20T21:43:23.2337284Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int64 PASSED [0.0100s] [ 48%] 2024-08-20T21:43:23.2337861Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int8 PASSED [0.0096s] [ 48%] 2024-08-20T21:43:23.2338428Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_uint8 PASSED [0.0097s] [ 48%] 2024-08-20T21:43:23.2339077Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex128 PASSED [0.0293s] [ 48%] 2024-08-20T21:43:23.2339684Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex64 PASSED [0.0297s] [ 48%] 2024-08-20T21:43:23.2340269Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float32 PASSED [0.0281s] [ 48%] 2024-08-20T21:43:23.2340865Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float64 PASSED [0.0282s] [ 48%] 2024-08-20T21:43:23.2341588Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex128 PASSED [0.0253s] [ 48%] 2024-08-20T21:43:23.2342224Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex64 PASSED [0.0255s] [ 48%] 2024-08-20T21:43:23.2342856Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float32 PASSED [0.0249s] [ 48%] 2024-08-20T21:43:23.2343473Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float64 PASSED [0.0244s] [ 48%] 2024-08-20T21:43:23.2344118Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex128 PASSED [0.0143s] [ 48%] 2024-08-20T21:43:23.2344775Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex64 PASSED [0.0138s] [ 48%] 2024-08-20T21:43:23.2345396Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float32 PASSED [0.0139s] [ 48%] 2024-08-20T21:43:23.2346039Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float64 PASSED [0.0137s] [ 48%] 2024-08-20T21:43:23.2346668Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bfloat16 PASSED [0.0072s] [ 48%] 2024-08-20T21:43:23.2347238Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bool PASSED [0.0073s] [ 48%] 2024-08-20T21:43:23.2347857Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex128 PASSED [0.0073s] [ 48%] 2024-08-20T21:43:23.2348453Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex32 PASSED [0.0074s] [ 48%] 2024-08-20T21:43:23.2349062Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex64 PASSED [0.0072s] [ 48%] 2024-08-20T21:43:23.2349646Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float16 PASSED [0.0073s] [ 48%] 2024-08-20T21:43:23.2350253Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float32 PASSED [0.0071s] [ 48%] 2024-08-20T21:43:23.2350855Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float64 PASSED [0.0077s] [ 48%] 2024-08-20T21:43:23.2351422Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int16 PASSED [0.0071s] [ 48%] 2024-08-20T21:43:23.2352009Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int32 PASSED [0.0073s] [ 48%] 2024-08-20T21:43:23.2352578Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int64 PASSED [0.0071s] [ 48%] 2024-08-20T21:43:23.2353175Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int8 PASSED [0.0072s] [ 48%] 2024-08-20T21:43:23.2353763Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_uint8 PASSED [0.0073s] [ 48%] 2024-08-20T21:43:23.2354353Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bfloat16 PASSED [0.0072s] [ 48%] 2024-08-20T21:43:23.2354917Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bool PASSED [0.0074s] [ 48%] 2024-08-20T21:43:23.2355534Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex128 PASSED [0.0072s] [ 48%] 2024-08-20T21:43:23.2356156Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex32 PASSED [0.0074s] [ 48%] 2024-08-20T21:43:23.2356762Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex64 PASSED [0.0072s] [ 48%] 2024-08-20T21:43:23.2357344Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float16 PASSED [0.0073s] [ 48%] 2024-08-20T21:43:23.2357924Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float32 PASSED [0.0071s] [ 48%] 2024-08-20T21:43:23.2358522Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float64 PASSED [0.0073s] [ 48%] 2024-08-20T21:43:23.2359090Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int16 PASSED [0.0071s] [ 48%] 2024-08-20T21:43:23.2359676Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int32 PASSED [0.0071s] [ 48%] 2024-08-20T21:43:23.2360243Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int64 PASSED [0.0072s] [ 48%] 2024-08-20T21:43:23.2360809Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int8 PASSED [0.0071s] [ 48%] 2024-08-20T21:43:23.2361393Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_uint8 PASSED [0.0073s] [ 48%] 2024-08-20T21:43:23.2362036Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_bfloat16 PASSED [0.0509s] [ 48%] 2024-08-20T21:43:23.2362668Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float16 PASSED [0.0513s] [ 48%] 2024-08-20T21:43:23.2363326Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float32 PASSED [0.0505s] [ 48%] 2024-08-20T21:43:23.2363991Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float64 PASSED [0.0518s] [ 48%] 2024-08-20T21:43:23.2364629Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int16 PASSED [0.0438s] [ 48%] 2024-08-20T21:43:23.2365253Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int32 PASSED [0.0434s] [ 48%] 2024-08-20T21:43:23.2365880Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int64 PASSED [0.0438s] [ 48%] 2024-08-20T21:43:23.2366513Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int8 PASSED [0.0435s] [ 48%] 2024-08-20T21:43:23.2367164Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_uint8 PASSED [0.0436s] [ 48%] 2024-08-20T21:43:23.2367822Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_bfloat16 PASSED [0.0514s] [ 48%] 2024-08-20T21:43:23.2368457Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float16 PASSED [0.0507s] [ 48%] 2024-08-20T21:43:23.2369094Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float32 PASSED [0.0509s] [ 48%] 2024-08-20T21:43:23.2369739Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float64 PASSED [0.0506s] [ 48%] 2024-08-20T21:43:23.2370404Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int16 PASSED [0.0435s] [ 48%] 2024-08-20T21:43:23.2371047Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int32 PASSED [0.0435s] [ 48%] 2024-08-20T21:43:23.2371669Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int64 PASSED [0.0430s] [ 48%] 2024-08-20T21:43:23.2372283Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int8 PASSED [0.0437s] [ 48%] 2024-08-20T21:43:23.2372926Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_uint8 PASSED [0.0434s] [ 48%] 2024-08-20T21:43:23.2373632Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_bfloat16 PASSED [0.0331s] [ 48%] 2024-08-20T21:43:23.2374296Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float16 PASSED [0.0329s] [ 49%] 2024-08-20T21:43:23.2374947Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float32 PASSED [0.0326s] [ 49%] 2024-08-20T21:43:23.2375587Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float64 PASSED [0.0333s] [ 49%] 2024-08-20T21:43:23.2376239Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int16 PASSED [0.0284s] [ 49%] 2024-08-20T21:43:23.2376880Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int32 PASSED [0.0294s] [ 49%] 2024-08-20T21:43:23.2377514Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int64 PASSED [0.0286s] [ 49%] 2024-08-20T21:43:23.2378165Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int8 PASSED [0.0289s] [ 49%] 2024-08-20T21:43:23.2378799Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_uint8 PASSED [0.0286s] [ 49%] 2024-08-20T21:43:23.2379473Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_bfloat16 PASSED [0.0334s] [ 49%] 2024-08-20T21:43:23.2380124Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float16 PASSED [0.0329s] [ 49%] 2024-08-20T21:43:23.2380773Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float32 PASSED [0.0330s] [ 49%] 2024-08-20T21:43:23.2381532Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float64 PASSED [0.0333s] [ 49%] 2024-08-20T21:43:23.2382172Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int16 PASSED [0.0284s] [ 49%] 2024-08-20T21:43:23.2382821Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int32 PASSED [0.0288s] [ 49%] 2024-08-20T21:43:23.2383460Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int64 PASSED [0.0284s] [ 49%] 2024-08-20T21:43:23.2384088Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int8 PASSED [0.0285s] [ 49%] 2024-08-20T21:43:23.2384738Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_uint8 PASSED [0.0284s] [ 49%] 2024-08-20T21:43:23.2385432Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_bfloat16 PASSED [0.0141s] [ 49%] 2024-08-20T21:43:23.2386123Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex128 PASSED [0.0139s] [ 49%] 2024-08-20T21:43:23.2386794Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex64 PASSED [0.0139s] [ 49%] 2024-08-20T21:43:23.2387449Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float16 PASSED [0.0140s] [ 49%] 2024-08-20T21:43:23.2388324Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float32 PASSED [0.0137s] [ 49%] 2024-08-20T21:43:23.2388982Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float64 PASSED [0.0141s] [ 49%] 2024-08-20T21:43:23.2389639Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int16 PASSED [0.0137s] [ 49%] 2024-08-20T21:43:23.2390283Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int32 PASSED [0.0139s] [ 49%] 2024-08-20T21:43:23.2390923Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int64 PASSED [0.0136s] [ 49%] 2024-08-20T21:43:23.2391606Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int8 PASSED [0.0143s] [ 49%] 2024-08-20T21:43:23.2392254Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_uint8 PASSED [0.0136s] [ 49%] 2024-08-20T21:43:23.2392909Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_bfloat16 PASSED [0.0138s] [ 49%] 2024-08-20T21:43:23.2393591Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_complex128 PASSED [0.0142s] [ 49%] 2024-08-20T21:43:23.2394256Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_complex64 PASSED [0.0137s] [ 49%] 2024-08-20T21:43:23.2394922Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float16 PASSED [0.0140s] [ 49%] 2024-08-20T21:43:23.2395570Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float32 PASSED [0.0137s] [ 49%] 2024-08-20T21:43:23.2396215Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float64 PASSED [0.0140s] [ 49%] 2024-08-20T21:43:23.2396860Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int16 PASSED [0.0137s] [ 49%] 2024-08-20T21:43:23.2397498Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int32 PASSED [0.0138s] [ 49%] 2024-08-20T21:43:23.2398147Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int64 PASSED [0.0137s] [ 49%] 2024-08-20T21:43:23.2398781Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int8 PASSED [0.0137s] [ 49%] 2024-08-20T21:43:23.2399446Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_uint8 PASSED [0.0138s] [ 49%] 2024-08-20T21:43:23.2400107Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bfloat16 PASSED [0.0090s] [ 49%] 2024-08-20T21:43:23.2400731Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bool PASSED [0.0092s] [ 49%] 2024-08-20T21:43:23.2401396Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex128 PASSED [0.0091s] [ 49%] 2024-08-20T21:43:23.2402050Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex32 PASSED [0.0093s] [ 49%] 2024-08-20T21:43:23.2402724Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex64 PASSED [0.0091s] [ 49%] 2024-08-20T21:43:23.2403376Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float16 PASSED [0.0092s] [ 49%] 2024-08-20T21:43:23.2404012Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float32 PASSED [0.0090s] [ 49%] 2024-08-20T21:43:23.2404660Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float64 PASSED [0.0090s] [ 49%] 2024-08-20T21:43:23.2405283Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int16 PASSED [0.0094s] [ 49%] 2024-08-20T21:43:23.2405935Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int32 PASSED [0.0090s] [ 49%] 2024-08-20T21:43:23.2406580Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int64 PASSED [0.0092s] [ 49%] 2024-08-20T21:43:23.2407199Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int8 PASSED [0.0090s] [ 49%] 2024-08-20T21:43:23.2407823Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_uint8 PASSED [0.0093s] [ 49%] 2024-08-20T21:43:23.2408524Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_bfloat16 PASSED [0.0172s] [ 49%] 2024-08-20T21:43:23.2409229Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float16 PASSED [0.0174s] [ 49%] 2024-08-20T21:43:23.2409918Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float32 PASSED [0.0173s] [ 49%] 2024-08-20T21:43:23.2410599Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float64 PASSED [0.0175s] [ 49%] 2024-08-20T21:43:23.2411274Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_bfloat16 PASSED [0.0107s] [ 49%] 2024-08-20T21:43:23.2411962Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float16 PASSED [0.0107s] [ 49%] 2024-08-20T21:43:23.2412627Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float32 PASSED [0.0108s] [ 49%] 2024-08-20T21:43:23.2413310Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float64 PASSED [0.0107s] [ 50%] 2024-08-20T21:43:23.2413983Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_bfloat16 PASSED [0.0517s] [ 50%] 2024-08-20T21:43:23.2414649Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float16 PASSED [0.0509s] [ 50%] 2024-08-20T21:43:23.2415326Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float32 PASSED [0.0510s] [ 50%] 2024-08-20T21:43:23.2415990Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float64 PASSED [0.0514s] [ 50%] 2024-08-20T21:43:23.2416690Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int16 PASSED [0.0434s] [ 50%] 2024-08-20T21:43:23.2417342Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int32 PASSED [0.0440s] [ 50%] 2024-08-20T21:43:23.2417998Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int64 PASSED [0.0436s] [ 50%] 2024-08-20T21:43:23.2418662Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int8 PASSED [0.0438s] [ 50%] 2024-08-20T21:43:23.2419308Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_uint8 PASSED [0.0444s] [ 50%] 2024-08-20T21:43:23.2419969Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_bfloat16 PASSED [0.0513s] [ 50%] 2024-08-20T21:43:23.2420614Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_bool PASSED [0.0441s] [ 50%] 2024-08-20T21:43:23.2421342Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex128 PASSED [0.0436s] [ 50%] 2024-08-20T21:43:23.2422015Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex64 PASSED [0.0438s] [ 50%] 2024-08-20T21:43:23.2422655Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float16 PASSED [0.0517s] [ 50%] 2024-08-20T21:43:23.2423302Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float32 PASSED [0.0510s] [ 50%] 2024-08-20T21:43:23.2423973Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float64 PASSED [0.0517s] [ 50%] 2024-08-20T21:43:23.2424602Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_int16 PASSED [0.0434s] [ 50%] 2024-08-20T21:43:23.2425238Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_int32 PASSED [0.0436s] [ 50%] 2024-08-20T21:43:23.2426103Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_int64 PASSED [0.0438s] [ 50%] 2024-08-20T21:43:23.2426737Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_int8 PASSED [0.0434s] [ 50%] 2024-08-20T21:43:23.2427447Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_uint8 PASSED [0.0437s] [ 50%] 2024-08-20T21:43:23.2428104Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_bfloat16 PASSED [0.0137s] [ 50%] 2024-08-20T21:43:23.2428770Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float16 PASSED [0.0139s] [ 50%] 2024-08-20T21:43:23.2429421Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float32 PASSED [0.0137s] [ 50%] 2024-08-20T21:43:23.2430068Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float64 PASSED [0.0138s] [ 50%] 2024-08-20T21:43:23.2430732Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_bfloat16 PASSED [0.2429s] [ 50%] 2024-08-20T21:43:23.2431369Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float16 PASSED [0.2439s] [ 50%] 2024-08-20T21:43:23.2432021Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float32 PASSED [0.2431s] [ 50%] 2024-08-20T21:43:23.2432655Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float64 PASSED [0.2422s] [ 50%] 2024-08-20T21:43:23.2433327Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_bfloat16 PASSED [0.0213s] [ 50%] 2024-08-20T21:43:23.2434030Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex128 PASSED [0.0210s] [ 50%] 2024-08-20T21:43:23.2434757Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex64 PASSED [0.0209s] [ 50%] 2024-08-20T21:43:23.2435441Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float16 PASSED [0.0209s] [ 50%] 2024-08-20T21:43:23.2436107Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float32 PASSED [0.0205s] [ 50%] 2024-08-20T21:43:23.2436774Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float64 PASSED [0.0209s] [ 50%] 2024-08-20T21:43:23.2437432Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bfloat16 PASSED [0.0511s] [ 50%] 2024-08-20T21:43:23.2438050Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bool PASSED [0.0438s] [ 50%] 2024-08-20T21:43:23.2438774Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex128 PASSED [0.0438s] [ 50%] 2024-08-20T21:43:23.2439429Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex64 PASSED [0.0437s] [ 50%] 2024-08-20T21:43:23.2440064Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float16 PASSED [0.0518s] [ 50%] 2024-08-20T21:43:23.2440714Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float32 PASSED [0.0511s] [ 50%] 2024-08-20T21:43:23.2441345Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float64 PASSED [0.0514s] [ 50%] 2024-08-20T21:43:23.2442045Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int16 PASSED [0.0439s] [ 50%] 2024-08-20T21:43:23.2442691Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int32 PASSED [0.0436s] [ 50%] 2024-08-20T21:43:23.2443312Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int64 PASSED [0.0440s] [ 50%] 2024-08-20T21:43:23.2443944Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int8 PASSED [0.0434s] [ 50%] 2024-08-20T21:43:23.2444568Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_uint8 PASSED [0.0436s] [ 50%] 2024-08-20T21:43:23.2445262Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bfloat16 PASSED [0.0070s] [ 50%] 2024-08-20T21:43:23.2445913Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bool PASSED [0.0069s] [ 50%] 2024-08-20T21:43:23.2446587Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex128 PASSED [0.0074s] [ 50%] 2024-08-20T21:43:23.2447272Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex64 PASSED [0.0071s] [ 50%] 2024-08-20T21:43:23.2447927Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float16 PASSED [0.0071s] [ 50%] 2024-08-20T21:43:23.2448578Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float32 PASSED [0.0069s] [ 50%] 2024-08-20T21:43:23.2449244Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float64 PASSED [0.0072s] [ 50%] 2024-08-20T21:43:23.2449884Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int16 PASSED [0.0070s] [ 50%] 2024-08-20T21:43:23.2450545Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int32 PASSED [0.0071s] [ 50%] 2024-08-20T21:43:23.2451184Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int64 PASSED [0.0069s] [ 50%] 2024-08-20T21:43:23.2451823Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int8 PASSED [0.0070s] [ 50%] 2024-08-20T21:43:23.2452516Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_uint8 PASSED [0.0069s] [ 51%] 2024-08-20T21:43:23.2453175Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bfloat16 PASSED [0.0086s] [ 51%] 2024-08-20T21:43:23.2453826Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bool PASSED [0.0087s] [ 51%] 2024-08-20T21:43:23.2454492Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex128 PASSED [0.0086s] [ 51%] 2024-08-20T21:43:23.2455154Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex64 PASSED [0.0088s] [ 51%] 2024-08-20T21:43:23.2455821Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float16 PASSED [0.0085s] [ 51%] 2024-08-20T21:43:23.2456496Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float32 PASSED [0.0088s] [ 51%] 2024-08-20T21:43:23.2457146Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float64 PASSED [0.0085s] [ 51%] 2024-08-20T21:43:23.2457799Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int16 PASSED [0.0088s] [ 51%] 2024-08-20T21:43:23.2458436Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int32 PASSED [0.0085s] [ 51%] 2024-08-20T21:43:23.2459090Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int64 PASSED [0.0087s] [ 51%] 2024-08-20T21:43:23.2459749Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int8 PASSED [0.0085s] [ 51%] 2024-08-20T21:43:23.2460385Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_uint8 PASSED [0.0085s] [ 51%] 2024-08-20T21:43:23.2461129Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_bfloat16 PASSED [0.0179s] [ 51%] 2024-08-20T21:43:23.2461792Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float16 PASSED [0.0172s] [ 51%] 2024-08-20T21:43:23.2462455Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float32 PASSED [0.0175s] [ 51%] 2024-08-20T21:43:23.2463137Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float64 PASSED [0.0172s] [ 51%] 2024-08-20T21:43:23.2463795Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_bfloat16 PASSED [0.0176s] [ 51%] 2024-08-20T21:43:23.2464458Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float16 PASSED [0.0171s] [ 51%] 2024-08-20T21:43:23.2465112Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float32 PASSED [0.0174s] [ 51%] 2024-08-20T21:43:23.2465774Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float64 PASSED [0.0172s] [ 51%] 2024-08-20T21:43:23.2466411Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_bfloat16 PASSED [0.0348s] [ 51%] 2024-08-20T21:43:23.2467064Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex128 PASSED [0.0343s] [ 51%] 2024-08-20T21:43:23.2467726Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex64 PASSED [0.0343s] [ 51%] 2024-08-20T21:43:23.2468362Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float16 PASSED [0.0346s] [ 51%] 2024-08-20T21:43:23.2469007Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float32 PASSED [0.0343s] [ 51%] 2024-08-20T21:43:23.2469638Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float64 PASSED [0.0343s] [ 51%] 2024-08-20T21:43:23.2470313Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int16 PASSED [0.0342s] [ 51%] 2024-08-20T21:43:23.2470951Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int32 PASSED [0.0341s] [ 51%] 2024-08-20T21:43:23.2471572Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int64 PASSED [0.0340s] [ 51%] 2024-08-20T21:43:23.2472183Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int8 PASSED [0.0344s] [ 51%] 2024-08-20T21:43:23.2472819Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_uint8 PASSED [0.0342s] [ 51%] 2024-08-20T21:43:23.2473454Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bfloat16 PASSED [0.0514s] [ 51%] 2024-08-20T21:43:23.2474112Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bool PASSED [0.0432s] [ 51%] 2024-08-20T21:43:23.2474771Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex128 PASSED [0.0438s] [ 51%] 2024-08-20T21:43:23.2475413Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex64 PASSED [0.0438s] [ 51%] 2024-08-20T21:43:23.2476065Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float16 PASSED [0.0515s] [ 51%] 2024-08-20T21:43:23.2476691Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float32 PASSED [0.0513s] [ 51%] 2024-08-20T21:43:23.2477363Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float64 PASSED [0.0512s] [ 51%] 2024-08-20T21:43:23.2477980Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int16 PASSED [0.0441s] [ 51%] 2024-08-20T21:43:23.2478602Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int32 PASSED [0.0431s] [ 51%] 2024-08-20T21:43:23.2479233Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int64 PASSED [0.0438s] [ 51%] 2024-08-20T21:43:23.2479842Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int8 PASSED [0.0437s] [ 51%] 2024-08-20T21:43:23.2480501Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_uint8 PASSED [0.0432s] [ 51%] 2024-08-20T21:43:23.2481139Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_bfloat16 PASSED [0.0349s] [ 51%] 2024-08-20T21:43:23.2481793Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex128 PASSED [0.0344s] [ 51%] 2024-08-20T21:43:23.2482456Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex64 PASSED [0.0344s] [ 51%] 2024-08-20T21:43:23.2483091Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float16 PASSED [0.0343s] [ 51%] 2024-08-20T21:43:23.2483731Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float32 PASSED [0.0343s] [ 51%] 2024-08-20T21:43:23.2484360Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float64 PASSED [0.0342s] [ 51%] 2024-08-20T21:43:23.2484975Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int16 PASSED [0.0345s] [ 51%] 2024-08-20T21:43:23.2485606Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int32 PASSED [0.0344s] [ 51%] 2024-08-20T21:43:23.2486224Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int64 PASSED [0.0344s] [ 51%] 2024-08-20T21:43:23.2486834Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int8 PASSED [0.0343s] [ 51%] 2024-08-20T21:43:23.2487496Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_uint8 PASSED [0.0343s] [ 51%] 2024-08-20T21:43:23.2488293Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_bfloat16 PASSED [0.0130s] [ 51%] 2024-08-20T21:43:23.2488938Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex128 PASSED [0.0129s] [ 51%] 2024-08-20T21:43:23.2489557Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex64 PASSED [0.0131s] [ 51%] 2024-08-20T21:43:23.2490163Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float16 PASSED [0.0127s] [ 51%] 2024-08-20T21:43:23.2490781Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float32 PASSED [0.0126s] [ 51%] 2024-08-20T21:43:23.2491416Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float64 PASSED [0.0131s] [ 52%] 2024-08-20T21:43:23.2492031Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int16 PASSED [0.0126s] [ 52%] 2024-08-20T21:43:23.2492620Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int32 PASSED [0.0128s] [ 52%] 2024-08-20T21:43:23.2493207Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int64 PASSED [0.0126s] [ 52%] 2024-08-20T21:43:23.2493811Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int8 PASSED [0.0129s] [ 52%] 2024-08-20T21:43:23.2494405Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_uint8 PASSED [0.0126s] [ 52%] 2024-08-20T21:43:23.2495084Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_bfloat16 PASSED [0.0059s] [ 52%] 2024-08-20T21:43:23.2495734Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex128 PASSED [0.0057s] [ 52%] 2024-08-20T21:43:23.2496385Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex64 PASSED [0.0058s] [ 52%] 2024-08-20T21:43:23.2497026Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float16 PASSED [0.0056s] [ 52%] 2024-08-20T21:43:23.2497686Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float32 PASSED [0.0056s] [ 52%] 2024-08-20T21:43:23.2498312Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float64 PASSED [0.0058s] [ 52%] 2024-08-20T21:43:23.2498967Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bfloat16 PASSED [0.0095s] [ 52%] 2024-08-20T21:43:23.2499579Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bool PASSED [0.0096s] [ 52%] 2024-08-20T21:43:23.2500218Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float16 PASSED [0.0094s] [ 52%] 2024-08-20T21:43:23.2500846Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float32 PASSED [0.0097s] [ 52%] 2024-08-20T21:43:23.2501534Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float64 PASSED [0.0094s] [ 52%] 2024-08-20T21:43:23.2502170Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int16 PASSED [0.0097s] [ 52%] 2024-08-20T21:43:23.2502790Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int32 PASSED [0.0095s] [ 52%] 2024-08-20T21:43:23.2503424Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int64 PASSED [0.0097s] [ 52%] 2024-08-20T21:43:23.2504035Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int8 PASSED [0.0095s] [ 52%] 2024-08-20T21:43:23.2504657Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_uint8 PASSED [0.0095s] [ 52%] 2024-08-20T21:43:23.2505490Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_bfloat16 PASSED [0.7642s] [ 52%] 2024-08-20T21:43:23.2506245Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float16 PASSED [0.7546s] [ 52%] 2024-08-20T21:43:23.2507017Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float32 PASSED [0.7604s] [ 52%] 2024-08-20T21:43:23.2507770Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float64 PASSED [0.7531s] [ 52%] 2024-08-20T21:43:23.2508469Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bfloat16 PASSED [0.0060s] [ 52%] 2024-08-20T21:43:23.2509183Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bool PASSED [0.0056s] [ 52%] 2024-08-20T21:43:23.2509873Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float16 PASSED [0.0057s] [ 52%] 2024-08-20T21:43:23.2510565Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float32 PASSED [0.0057s] [ 52%] 2024-08-20T21:43:23.2511244Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float64 PASSED [0.0056s] [ 52%] 2024-08-20T21:43:23.2511915Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int16 PASSED [0.0058s] [ 52%] 2024-08-20T21:43:23.2512634Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int32 PASSED [0.0056s] [ 52%] 2024-08-20T21:43:23.2513312Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int64 PASSED [0.0058s] [ 52%] 2024-08-20T21:43:23.2513997Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int8 PASSED [0.0056s] [ 52%] 2024-08-20T21:43:23.2514669Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_uint8 PASSED [0.0058s] [ 52%] 2024-08-20T21:43:23.2515376Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bfloat16 PASSED [0.0066s] [ 52%] 2024-08-20T21:43:23.2516111Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bool PASSED [0.0068s] [ 52%] 2024-08-20T21:43:23.2516813Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float16 PASSED [0.0066s] [ 52%] 2024-08-20T21:43:23.2517522Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float32 PASSED [0.0066s] [ 52%] 2024-08-20T21:43:23.2518207Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float64 PASSED [0.0068s] [ 52%] 2024-08-20T21:43:23.2518893Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int16 PASSED [0.0066s] [ 52%] 2024-08-20T21:43:23.2519586Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int32 PASSED [0.0072s] [ 52%] 2024-08-20T21:43:23.2520262Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int64 PASSED [0.0066s] [ 52%] 2024-08-20T21:43:23.2520939Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int8 PASSED [0.0068s] [ 52%] 2024-08-20T21:43:23.2521646Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_uint8 PASSED [0.0066s] [ 52%] 2024-08-20T21:43:23.2522271Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bfloat16 PASSED [0.0097s] [ 52%] 2024-08-20T21:43:23.2522915Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bool PASSED [0.0094s] [ 52%] 2024-08-20T21:43:23.2523525Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float16 PASSED [0.0096s] [ 52%] 2024-08-20T21:43:23.2524126Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float32 PASSED [0.0094s] [ 52%] 2024-08-20T21:43:23.2524745Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float64 PASSED [0.0095s] [ 52%] 2024-08-20T21:43:23.2525342Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int16 PASSED [0.0096s] [ 52%] 2024-08-20T21:43:23.2526149Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int32 PASSED [0.0094s] [ 52%] 2024-08-20T21:43:23.2526753Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int64 PASSED [0.0097s] [ 52%] 2024-08-20T21:43:23.2527409Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int8 PASSED [0.0095s] [ 52%] 2024-08-20T21:43:23.2528022Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_uint8 PASSED [0.0097s] [ 52%] 2024-08-20T21:43:23.2528611Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_bfloat16 PASSED [0.0144s] [ 52%] 2024-08-20T21:43:23.2529234Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex128 PASSED [0.0147s] [ 52%] 2024-08-20T21:43:23.2529843Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex64 PASSED [0.0144s] [ 52%] 2024-08-20T21:43:23.2530472Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float16 PASSED [0.0146s] [ 53%] 2024-08-20T21:43:23.2531078Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float32 PASSED [0.0144s] [ 53%] 2024-08-20T21:43:23.2531661Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float64 PASSED [0.0144s] [ 53%] 2024-08-20T21:43:23.2532270Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_bfloat16 PASSED [0.0112s] [ 53%] 2024-08-20T21:43:23.2532893Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float16 PASSED [0.0110s] [ 53%] 2024-08-20T21:43:23.2533532Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float32 PASSED [0.0116s] [ 53%] 2024-08-20T21:43:23.2534149Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float64 PASSED [0.0110s] [ 53%] 2024-08-20T21:43:23.2534746Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int16 PASSED [0.0113s] [ 53%] 2024-08-20T21:43:23.2535332Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int32 PASSED [0.0110s] [ 53%] 2024-08-20T21:43:23.2535938Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int64 PASSED [0.0113s] [ 53%] 2024-08-20T21:43:23.2536525Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int8 PASSED [0.0110s] [ 53%] 2024-08-20T21:43:23.2537134Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_uint8 PASSED [0.0112s] [ 53%] 2024-08-20T21:43:23.2537853Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bfloat16 PASSED [0.0101s] [ 53%] 2024-08-20T21:43:23.2538544Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bool PASSED [0.0099s] [ 53%] 2024-08-20T21:43:23.2539288Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex128 PASSED [0.0103s] [ 53%] 2024-08-20T21:43:23.2540015Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex64 PASSED [0.0101s] [ 53%] 2024-08-20T21:43:23.2540779Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float16 PASSED [0.0102s] [ 53%] 2024-08-20T21:43:23.2541550Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float32 PASSED [0.0100s] [ 53%] 2024-08-20T21:43:23.2542260Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float64 PASSED [0.0102s] [ 53%] 2024-08-20T21:43:23.2542970Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int16 PASSED [0.0100s] [ 53%] 2024-08-20T21:43:23.2543662Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int32 PASSED [0.0102s] [ 53%] 2024-08-20T21:43:23.2544403Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int64 PASSED [0.0099s] [ 53%] 2024-08-20T21:43:23.2545095Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int8 PASSED [0.0100s] [ 53%] 2024-08-20T21:43:23.2545787Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_uint8 PASSED [0.0101s] [ 53%] 2024-08-20T21:43:23.2546536Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bfloat16 PASSED [0.0100s] [ 53%] 2024-08-20T21:43:23.2547231Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bool PASSED [0.0101s] [ 53%] 2024-08-20T21:43:23.2548009Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex128 PASSED [0.0101s] [ 53%] 2024-08-20T21:43:23.2548740Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex64 PASSED [0.0108s] [ 53%] 2024-08-20T21:43:23.2549463Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float16 PASSED [0.0100s] [ 53%] 2024-08-20T21:43:23.2550195Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float32 PASSED [0.0102s] [ 53%] 2024-08-20T21:43:23.2550915Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float64 PASSED [0.0100s] [ 53%] 2024-08-20T21:43:23.2551666Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int16 PASSED [0.0100s] [ 53%] 2024-08-20T21:43:23.2552371Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int32 PASSED [0.0101s] [ 53%] 2024-08-20T21:43:23.2553066Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int64 PASSED [0.0099s] [ 53%] 2024-08-20T21:43:23.2553776Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int8 PASSED [0.0101s] [ 53%] 2024-08-20T21:43:23.2554473Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_uint8 PASSED [0.0099s] [ 53%] 2024-08-20T21:43:23.2555127Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bfloat16 PASSED [0.0098s] [ 53%] 2024-08-20T21:43:23.2555744Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bool PASSED [0.0095s] [ 53%] 2024-08-20T21:43:23.2556373Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float16 PASSED [0.0097s] [ 53%] 2024-08-20T21:43:23.2557020Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float32 PASSED [0.0095s] [ 53%] 2024-08-20T21:43:23.2557653Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float64 PASSED [0.0097s] [ 53%] 2024-08-20T21:43:23.2558271Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int16 PASSED [0.0095s] [ 53%] 2024-08-20T21:43:23.2558936Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int32 PASSED [0.0095s] [ 53%] 2024-08-20T21:43:23.2559547Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int64 PASSED [0.0097s] [ 53%] 2024-08-20T21:43:23.2560176Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int8 PASSED [0.0095s] [ 53%] 2024-08-20T21:43:23.2560798Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_uint8 PASSED [0.0097s] [ 53%] 2024-08-20T21:43:23.2561495Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bfloat16 PASSED [0.0056s] [ 53%] 2024-08-20T21:43:23.2562208Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bool PASSED [0.0058s] [ 53%] 2024-08-20T21:43:23.2562903Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float16 PASSED [0.0056s] [ 53%] 2024-08-20T21:43:23.2563599Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float32 PASSED [0.0063s] [ 53%] 2024-08-20T21:43:23.2564277Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float64 PASSED [0.0056s] [ 53%] 2024-08-20T21:43:23.2564956Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int16 PASSED [0.0058s] [ 53%] 2024-08-20T21:43:23.2565670Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int32 PASSED [0.0056s] [ 53%] 2024-08-20T21:43:23.2566346Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int64 PASSED [0.0056s] [ 53%] 2024-08-20T21:43:23.2567029Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int8 PASSED [0.0058s] [ 53%] 2024-08-20T21:43:23.2567705Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_uint8 PASSED [0.0056s] [ 53%] 2024-08-20T21:43:23.2568414Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bfloat16 PASSED [0.0068s] [ 53%] 2024-08-20T21:43:23.2569153Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bool PASSED [0.0067s] [ 53%] 2024-08-20T21:43:23.2569852Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float16 PASSED [0.0068s] [ 53%] 2024-08-20T21:43:23.2570557Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float32 PASSED [0.0066s] [ 53%] 2024-08-20T21:43:23.2571250Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float64 PASSED [0.0068s] [ 54%] 2024-08-20T21:43:23.2571941Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int16 PASSED [0.0066s] [ 54%] 2024-08-20T21:43:23.2572638Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int32 PASSED [0.0068s] [ 54%] 2024-08-20T21:43:23.2573315Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int64 PASSED [0.0066s] [ 54%] 2024-08-20T21:43:23.2574006Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int8 PASSED [0.0066s] [ 54%] 2024-08-20T21:43:23.2574698Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_uint8 PASSED [0.0067s] [ 54%] 2024-08-20T21:43:23.2575317Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bfloat16 PASSED [0.0095s] [ 54%] 2024-08-20T21:43:23.2575932Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bool PASSED [0.0097s] [ 54%] 2024-08-20T21:43:23.2576576Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float16 PASSED [0.0094s] [ 54%] 2024-08-20T21:43:23.2577185Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float32 PASSED [0.0097s] [ 54%] 2024-08-20T21:43:23.2577806Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float64 PASSED [0.0095s] [ 54%] 2024-08-20T21:43:23.2578407Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int16 PASSED [0.0101s] [ 54%] 2024-08-20T21:43:23.2579021Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int32 PASSED [0.0095s] [ 54%] 2024-08-20T21:43:23.2579615Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int64 PASSED [0.0097s] [ 54%] 2024-08-20T21:43:23.2580238Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int8 PASSED [0.0095s] [ 54%] 2024-08-20T21:43:23.2580852Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_uint8 PASSED [0.0095s] [ 54%] 2024-08-20T21:43:23.2581508Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_bfloat16 PASSED [0.0063s] [ 54%] 2024-08-20T21:43:23.2582124Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex128 PASSED [0.0068s] [ 54%] 2024-08-20T21:43:23.2582721Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex64 PASSED [0.0070s] [ 54%] 2024-08-20T21:43:23.2583338Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float16 PASSED [0.0061s] [ 54%] 2024-08-20T21:43:23.2583941Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float32 PASSED [0.0064s] [ 54%] 2024-08-20T21:43:23.2584526Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float64 PASSED [0.0062s] [ 54%] 2024-08-20T21:43:23.2585114Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int16 PASSED [0.0064s] [ 54%] 2024-08-20T21:43:23.2585688Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int32 PASSED [0.0062s] [ 54%] 2024-08-20T21:43:23.2586290Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int64 PASSED [0.0063s] [ 54%] 2024-08-20T21:43:23.2586873Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int8 PASSED [0.0062s] [ 54%] 2024-08-20T21:43:23.2587442Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_uint8 PASSED [0.0062s] [ 54%] 2024-08-20T21:43:23.2588044Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bfloat16 PASSED [0.0082s] [ 54%] 2024-08-20T21:43:23.2588819Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bool PASSED [0.0081s] [ 54%] 2024-08-20T21:43:23.2589413Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float16 PASSED [0.0083s] [ 54%] 2024-08-20T21:43:23.2590018Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float32 PASSED [0.0081s] [ 54%] 2024-08-20T21:43:23.2590607Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float64 PASSED [0.0084s] [ 54%] 2024-08-20T21:43:23.2591190Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int16 PASSED [0.0082s] [ 54%] 2024-08-20T21:43:23.2591789Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int32 PASSED [0.0087s] [ 54%] 2024-08-20T21:43:23.2592375Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int64 PASSED [0.0081s] [ 54%] 2024-08-20T21:43:23.2592971Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int8 PASSED [0.0083s] [ 54%] 2024-08-20T21:43:23.2593590Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_uint8 PASSED [0.0082s] [ 54%] 2024-08-20T21:43:23.2594217Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bfloat16 PASSED [0.0056s] [ 54%] 2024-08-20T21:43:23.2594827Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bool PASSED [0.0057s] [ 54%] 2024-08-20T21:43:23.2595464Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex128 PASSED [0.0056s] [ 54%] 2024-08-20T21:43:23.2596092Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex32 PASSED [0.0058s] [ 54%] 2024-08-20T21:43:23.2596736Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex64 PASSED [0.0056s] [ 54%] 2024-08-20T21:43:23.2597378Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float16 PASSED [0.0058s] [ 54%] 2024-08-20T21:43:23.2598004Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float32 PASSED [0.0056s] [ 54%] 2024-08-20T21:43:23.2598608Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float64 PASSED [0.0058s] [ 54%] 2024-08-20T21:43:23.2599211Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int16 PASSED [0.0056s] [ 54%] 2024-08-20T21:43:23.2599824Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int32 PASSED [0.0058s] [ 54%] 2024-08-20T21:43:23.2600416Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int64 PASSED [0.0056s] [ 54%] 2024-08-20T21:43:23.2601055Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int8 PASSED [0.0056s] [ 54%] 2024-08-20T21:43:23.2601651Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_uint8 PASSED [0.0057s] [ 54%] 2024-08-20T21:43:23.2602263Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bfloat16 PASSED [0.0058s] [ 54%] 2024-08-20T21:43:23.2602863Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bool PASSED [0.0059s] [ 54%] 2024-08-20T21:43:23.2603464Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float16 PASSED [0.0057s] [ 54%] 2024-08-20T21:43:23.2604105Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float32 PASSED [0.0059s] [ 54%] 2024-08-20T21:43:23.2604695Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float64 PASSED [0.0058s] [ 54%] 2024-08-20T21:43:23.2605285Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int16 PASSED [0.0062s] [ 54%] 2024-08-20T21:43:23.2605895Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int32 PASSED [0.0057s] [ 54%] 2024-08-20T21:43:23.2606484Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int64 PASSED [0.0059s] [ 54%] 2024-08-20T21:43:23.2607073Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int8 PASSED [0.0057s] [ 54%] 2024-08-20T21:43:23.2607670Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_uint8 PASSED [0.0057s] [ 55%] 2024-08-20T21:43:23.2608269Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bfloat16 PASSED [0.0096s] [ 55%] 2024-08-20T21:43:23.2608853Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bool PASSED [0.0094s] [ 55%] 2024-08-20T21:43:23.2609463Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex128 PASSED [0.0098s] [ 55%] 2024-08-20T21:43:23.2610062Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex32 PASSED [0.0096s] [ 55%] 2024-08-20T21:43:23.2610670Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex64 PASSED [0.0098s] [ 55%] 2024-08-20T21:43:23.2611286Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float16 PASSED [0.0095s] [ 55%] 2024-08-20T21:43:23.2611889Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float32 PASSED [0.0097s] [ 55%] 2024-08-20T21:43:23.2612478Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float64 PASSED [0.0095s] [ 55%] 2024-08-20T21:43:23.2613061Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int16 PASSED [0.0096s] [ 55%] 2024-08-20T21:43:23.2613651Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int32 PASSED [0.0095s] [ 55%] 2024-08-20T21:43:23.2614229Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int64 PASSED [0.0094s] [ 55%] 2024-08-20T21:43:23.2614842Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int8 PASSED [0.0096s] [ 55%] 2024-08-20T21:43:23.2615422Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_uint8 PASSED [0.0095s] [ 55%] 2024-08-20T21:43:23.2616073Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_bfloat16 PASSED [0.0083s] [ 55%] 2024-08-20T21:43:23.2616732Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float16 PASSED [0.0081s] [ 55%] 2024-08-20T21:43:23.2617372Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float32 PASSED [0.0084s] [ 55%] 2024-08-20T21:43:23.2618040Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float64 PASSED [0.0081s] [ 55%] 2024-08-20T21:43:23.2618647Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_bfloat16 PASSED [0.0056s] [ 55%] 2024-08-20T21:43:23.2619248Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex128 PASSED [0.0051s] [ 55%] 2024-08-20T21:43:23.2619864Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex64 PASSED [0.0053s] [ 55%] 2024-08-20T21:43:23.2620445Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float16 PASSED [0.0051s] [ 55%] 2024-08-20T21:43:23.2621129Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float32 PASSED [0.0051s] [ 55%] 2024-08-20T21:43:23.2621730Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float64 PASSED [0.0053s] [ 55%] 2024-08-20T21:43:23.2622301Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int16 PASSED [0.0051s] [ 55%] 2024-08-20T21:43:23.2622883Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int32 PASSED [0.0053s] [ 55%] 2024-08-20T21:43:23.2623454Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int64 PASSED [0.0051s] [ 55%] 2024-08-20T21:43:23.2624021Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int8 PASSED [0.0053s] [ 55%] 2024-08-20T21:43:23.2624602Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_uint8 PASSED [0.0051s] [ 55%] 2024-08-20T21:43:23.2625303Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_bfloat16 PASSED [0.0100s] [ 55%] 2024-08-20T21:43:23.2626222Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float16 PASSED [0.0097s] [ 55%] 2024-08-20T21:43:23.2626923Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float32 PASSED [0.0099s] [ 55%] 2024-08-20T21:43:23.2627605Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float64 PASSED [0.0097s] [ 55%] 2024-08-20T21:43:23.2628305Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int16 PASSED [0.0097s] [ 55%] 2024-08-20T21:43:23.2629059Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int32 PASSED [0.0099s] [ 55%] 2024-08-20T21:43:23.2629741Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int64 PASSED [0.0097s] [ 55%] 2024-08-20T21:43:23.2630435Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int8 PASSED [0.0100s] [ 55%] 2024-08-20T21:43:23.2631110Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_uint8 PASSED [0.0097s] [ 55%] 2024-08-20T21:43:23.2631824Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_bfloat16 PASSED [0.0100s] [ 55%] 2024-08-20T21:43:23.2632549Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float16 PASSED [0.0097s] [ 55%] 2024-08-20T21:43:23.2633239Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float32 PASSED [0.0104s] [ 55%] 2024-08-20T21:43:23.2633934Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float64 PASSED [0.0098s] [ 55%] 2024-08-20T21:43:23.2634615Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int16 PASSED [0.0100s] [ 55%] 2024-08-20T21:43:23.2635312Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int32 PASSED [0.0098s] [ 55%] 2024-08-20T21:43:23.2636038Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int64 PASSED [0.0098s] [ 55%] 2024-08-20T21:43:23.2636716Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int8 PASSED [0.0099s] [ 55%] 2024-08-20T21:43:23.2637409Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_uint8 PASSED [0.0097s] [ 55%] 2024-08-20T21:43:23.2638115Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_bfloat16 PASSED [0.0100s] [ 55%] 2024-08-20T21:43:23.2638864Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float16 PASSED [0.0098s] [ 55%] 2024-08-20T21:43:23.2639552Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float32 PASSED [0.0100s] [ 55%] 2024-08-20T21:43:23.2640233Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float64 PASSED [0.0098s] [ 55%] 2024-08-20T21:43:23.2640931Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int16 PASSED [0.0100s] [ 55%] 2024-08-20T21:43:23.2641608Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int32 PASSED [0.0098s] [ 55%] 2024-08-20T21:43:23.2642302Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int64 PASSED [0.0099s] [ 55%] 2024-08-20T21:43:23.2642980Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int8 PASSED [0.0098s] [ 55%] 2024-08-20T21:43:23.2643661Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_uint8 PASSED [0.0098s] [ 55%] 2024-08-20T21:43:23.2644311Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bfloat16 PASSED [0.0063s] [ 55%] 2024-08-20T21:43:23.2644922Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bool PASSED [0.0061s] [ 55%] 2024-08-20T21:43:23.2645566Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float16 PASSED [0.0063s] [ 55%] 2024-08-20T21:43:23.2646194Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float32 PASSED [0.0062s] [ 55%] 2024-08-20T21:43:23.2646855Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float64 PASSED [0.0063s] [ 56%] 2024-08-20T21:43:23.2647485Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int16 PASSED [0.0061s] [ 56%] 2024-08-20T21:43:23.2648099Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int32 PASSED [0.0067s] [ 56%] 2024-08-20T21:43:23.2648730Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int64 PASSED [0.0061s] [ 56%] 2024-08-20T21:43:23.2649339Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int8 PASSED [0.0063s] [ 56%] 2024-08-20T21:43:23.2649994Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_uint8 PASSED [0.0061s] [ 56%] 2024-08-20T21:43:23.2650630Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_bfloat16 PASSED [0.0221s] [ 56%] 2024-08-20T21:43:23.2651245Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float16 PASSED [0.0223s] [ 56%] 2024-08-20T21:43:23.2651855Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float32 PASSED [0.0220s] [ 56%] 2024-08-20T21:43:23.2652474Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float64 PASSED [0.0223s] [ 56%] 2024-08-20T21:43:23.2653111Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_bfloat16 PASSED [0.0111s] [ 56%] 2024-08-20T21:43:23.2653784Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float16 PASSED [0.0113s] [ 56%] 2024-08-20T21:43:23.2654418Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float32 PASSED [0.0111s] [ 56%] 2024-08-20T21:43:23.2655044Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float64 PASSED [0.0113s] [ 56%] 2024-08-20T21:43:23.2655674Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int16 PASSED [0.0110s] [ 56%] 2024-08-20T21:43:23.2656313Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int32 PASSED [0.0111s] [ 56%] 2024-08-20T21:43:23.2656933Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int64 PASSED [0.0112s] [ 56%] 2024-08-20T21:43:23.2657539Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int8 PASSED [0.0110s] [ 56%] 2024-08-20T21:43:23.2658145Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_uint8 PASSED [0.0113s] [ 56%] 2024-08-20T21:43:23.2658802Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float32 PASSED [0.0342s] [ 56%] 2024-08-20T21:43:23.2659445Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float64 PASSED [0.0346s] [ 56%] 2024-08-20T21:43:23.2660073Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bfloat16 PASSED [0.0220s] [ 56%] 2024-08-20T21:43:23.2660663Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bool PASSED [0.0168s] [ 56%] 2024-08-20T21:43:23.2661371Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float16 PASSED [0.0218s] [ 56%] 2024-08-20T21:43:23.2661997Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float32 PASSED [0.0226s] [ 56%] 2024-08-20T21:43:23.2662596Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float64 PASSED [0.0219s] [ 56%] 2024-08-20T21:43:23.2663190Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int16 PASSED [0.0165s] [ 56%] 2024-08-20T21:43:23.2663830Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int32 PASSED [0.0167s] [ 56%] 2024-08-20T21:43:23.2664414Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int64 PASSED [0.0165s] [ 56%] 2024-08-20T21:43:23.2665020Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int8 PASSED [0.0168s] [ 56%] 2024-08-20T21:43:23.2665616Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_uint8 PASSED [0.0164s] [ 56%] 2024-08-20T21:43:23.2666260Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bfloat16 PASSED [0.0074s] [ 56%] 2024-08-20T21:43:23.2666906Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bool PASSED [0.0071s] [ 56%] 2024-08-20T21:43:23.2667590Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex128 PASSED [0.0074s] [ 56%] 2024-08-20T21:43:23.2668261Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex32 PASSED [0.0072s] [ 56%] 2024-08-20T21:43:23.2668913Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex64 PASSED [0.0073s] [ 56%] 2024-08-20T21:43:23.2669553Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float16 PASSED [0.0071s] [ 56%] 2024-08-20T21:43:23.2670206Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float32 PASSED [0.0072s] [ 56%] 2024-08-20T21:43:23.2670868Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float64 PASSED [0.0073s] [ 56%] 2024-08-20T21:43:23.2671512Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int16 PASSED [0.0072s] [ 56%] 2024-08-20T21:43:23.2672136Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int32 PASSED [0.0073s] [ 56%] 2024-08-20T21:43:23.2672766Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int64 PASSED [0.0071s] [ 56%] 2024-08-20T21:43:23.2673401Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int8 PASSED [0.0073s] [ 56%] 2024-08-20T21:43:23.2674056Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_uint8 PASSED [0.0071s] [ 56%] 2024-08-20T21:43:23.2674665Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bfloat16 PASSED [0.0098s] [ 56%] 2024-08-20T21:43:23.2675266Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bool PASSED [0.0095s] [ 56%] 2024-08-20T21:43:23.2675888Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex128 PASSED [0.0103s] [ 56%] 2024-08-20T21:43:23.2676530Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex32 PASSED [0.0097s] [ 56%] 2024-08-20T21:43:23.2677150Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex64 PASSED [0.0096s] [ 56%] 2024-08-20T21:43:23.2677757Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float16 PASSED [0.0097s] [ 56%] 2024-08-20T21:43:23.2678375Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float32 PASSED [0.0096s] [ 56%] 2024-08-20T21:43:23.2678971Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float64 PASSED [0.0099s] [ 56%] 2024-08-20T21:43:23.2679584Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int16 PASSED [0.0096s] [ 56%] 2024-08-20T21:43:23.2680174Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int32 PASSED [0.0099s] [ 56%] 2024-08-20T21:43:23.2680763Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int64 PASSED [0.0096s] [ 56%] 2024-08-20T21:43:23.2681399Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int8 PASSED [0.0098s] [ 56%] 2024-08-20T21:43:23.2681991Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_uint8 PASSED [0.0096s] [ 56%] 2024-08-20T21:43:23.2682684Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_bfloat16 PASSED [0.0105s] [ 56%] 2024-08-20T21:43:23.2683358Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float16 PASSED [0.0102s] [ 56%] 2024-08-20T21:43:23.2684035Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float32 PASSED [0.0102s] [ 57%] 2024-08-20T21:43:23.2684719Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float64 PASSED [0.0104s] [ 57%] 2024-08-20T21:43:23.2685464Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bfloat16 PASSED [0.0094s] [ 57%] 2024-08-20T21:43:23.2686182Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bool PASSED [0.0096s] [ 57%] 2024-08-20T21:43:23.2686887Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float16 PASSED [0.0094s] [ 57%] 2024-08-20T21:43:23.2687592Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float32 PASSED [0.0097s] [ 57%] 2024-08-20T21:43:23.2688513Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float64 PASSED [0.0095s] [ 57%] 2024-08-20T21:43:23.2689220Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int16 PASSED [0.0095s] [ 57%] 2024-08-20T21:43:23.2689925Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int32 PASSED [0.0093s] [ 57%] 2024-08-20T21:43:23.2690613Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int64 PASSED [0.0094s] [ 57%] 2024-08-20T21:43:23.2691303Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int8 PASSED [0.0095s] [ 57%] 2024-08-20T21:43:23.2692035Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_uint8 PASSED [0.0094s] [ 57%] 2024-08-20T21:43:23.2692713Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_bfloat16 PASSED [0.0152s] [ 57%] 2024-08-20T21:43:23.2693386Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float16 PASSED [0.0150s] [ 57%] 2024-08-20T21:43:23.2694075Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float32 PASSED [0.0153s] [ 57%] 2024-08-20T21:43:23.2694743Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float64 PASSED [0.0150s] [ 57%] 2024-08-20T21:43:23.2695346Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bfloat16 PASSED [0.0097s] [ 57%] 2024-08-20T21:43:23.2695915Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bool PASSED [0.0094s] [ 57%] 2024-08-20T21:43:23.2696517Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex128 PASSED [0.0098s] [ 57%] 2024-08-20T21:43:23.2697129Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex64 PASSED [0.0096s] [ 57%] 2024-08-20T21:43:23.2697712Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float16 PASSED [0.0094s] [ 57%] 2024-08-20T21:43:23.2698310Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float32 PASSED [0.0096s] [ 57%] 2024-08-20T21:43:23.2698891Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float64 PASSED [0.0094s] [ 57%] 2024-08-20T21:43:23.2699492Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int16 PASSED [0.0096s] [ 57%] 2024-08-20T21:43:23.2700079Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int32 PASSED [0.0094s] [ 57%] 2024-08-20T21:43:23.2700647Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int64 PASSED [0.0096s] [ 57%] 2024-08-20T21:43:23.2701316Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int8 PASSED [0.0094s] [ 57%] 2024-08-20T21:43:23.2701894Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_uint8 PASSED [0.0096s] [ 57%] 2024-08-20T21:43:23.2702494Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_bfloat16 PASSED [0.0051s] [ 57%] 2024-08-20T21:43:23.2703160Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex128 PASSED [0.0052s] [ 57%] 2024-08-20T21:43:23.2703767Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex32 PASSED [0.0051s] [ 57%] 2024-08-20T21:43:23.2704365Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex64 PASSED [0.0051s] [ 57%] 2024-08-20T21:43:23.2704969Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float16 PASSED [0.0052s] [ 57%] 2024-08-20T21:43:23.2705555Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float32 PASSED [0.0051s] [ 57%] 2024-08-20T21:43:23.2706183Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float64 PASSED [0.0052s] [ 57%] 2024-08-20T21:43:23.2706766Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int16 PASSED [0.0051s] [ 57%] 2024-08-20T21:43:23.2707341Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int32 PASSED [0.0053s] [ 57%] 2024-08-20T21:43:23.2707934Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int64 PASSED [0.0050s] [ 57%] 2024-08-20T21:43:23.2708503Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int8 PASSED [0.0052s] [ 57%] 2024-08-20T21:43:23.2709127Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_uint8 PASSED [0.0051s] [ 57%] 2024-08-20T21:43:23.2709757Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bfloat16 PASSED [0.0083s] [ 57%] 2024-08-20T21:43:23.2710364Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bool PASSED [0.0081s] [ 57%] 2024-08-20T21:43:23.2711029Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex128 PASSED [0.0082s] [ 57%] 2024-08-20T21:43:23.2711669Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex32 PASSED [0.0083s] [ 57%] 2024-08-20T21:43:23.2712325Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex64 PASSED [0.0082s] [ 57%] 2024-08-20T21:43:23.2712952Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float16 PASSED [0.0083s] [ 57%] 2024-08-20T21:43:23.2713578Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float32 PASSED [0.0081s] [ 57%] 2024-08-20T21:43:23.2714216Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float64 PASSED [0.0084s] [ 57%] 2024-08-20T21:43:23.2714828Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int16 PASSED [0.0081s] [ 57%] 2024-08-20T21:43:23.2715432Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int32 PASSED [0.0083s] [ 57%] 2024-08-20T21:43:23.2716053Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int64 PASSED [0.0081s] [ 57%] 2024-08-20T21:43:23.2716690Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int8 PASSED [0.0083s] [ 57%] 2024-08-20T21:43:23.2717308Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_uint8 PASSED [0.0081s] [ 57%] 2024-08-20T21:43:23.2717986Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bfloat16 PASSED [0.0081s] [ 57%] 2024-08-20T21:43:23.2718638Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bool PASSED [0.0083s] [ 57%] 2024-08-20T21:43:23.2719347Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex128 PASSED [0.0081s] [ 57%] 2024-08-20T21:43:23.2720032Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex32 PASSED [0.0084s] [ 57%] 2024-08-20T21:43:23.2720778Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex64 PASSED [0.0081s] [ 57%] 2024-08-20T21:43:23.2721453Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float16 PASSED [0.0083s] [ 57%] 2024-08-20T21:43:23.2722121Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float32 PASSED [0.0082s] [ 57%] 2024-08-20T21:43:23.2722808Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float64 PASSED [0.0083s] [ 58%] 2024-08-20T21:43:23.2723524Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int16 PASSED [0.0081s] [ 58%] 2024-08-20T21:43:23.2724195Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int32 PASSED [0.0081s] [ 58%] 2024-08-20T21:43:23.2724848Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int64 PASSED [0.0083s] [ 58%] 2024-08-20T21:43:23.2725504Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int8 PASSED [0.0081s] [ 58%] 2024-08-20T21:43:23.2726359Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_uint8 PASSED [0.0083s] [ 58%] 2024-08-20T21:43:23.2727067Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bfloat16 PASSED [0.0083s] [ 58%] 2024-08-20T21:43:23.2727683Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bool PASSED [0.0085s] [ 58%] 2024-08-20T21:43:23.2728320Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex128 PASSED [0.0084s] [ 58%] 2024-08-20T21:43:23.2728955Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex32 PASSED [0.0086s] [ 58%] 2024-08-20T21:43:23.2729605Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex64 PASSED [0.0084s] [ 58%] 2024-08-20T21:43:23.2730221Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float16 PASSED [0.0085s] [ 58%] 2024-08-20T21:43:23.2730836Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float32 PASSED [0.0083s] [ 58%] 2024-08-20T21:43:23.2731472Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float64 PASSED [0.0083s] [ 58%] 2024-08-20T21:43:23.2732075Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int16 PASSED [0.0088s] [ 58%] 2024-08-20T21:43:23.2732699Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int32 PASSED [0.0083s] [ 58%] 2024-08-20T21:43:23.2733301Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int64 PASSED [0.0086s] [ 58%] 2024-08-20T21:43:23.2733908Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int8 PASSED [0.0083s] [ 58%] 2024-08-20T21:43:23.2734571Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_uint8 PASSED [0.0086s] [ 58%] 2024-08-20T21:43:23.2735194Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bfloat16 PASSED [0.0081s] [ 58%] 2024-08-20T21:43:23.2735813Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bool PASSED [0.0083s] [ 58%] 2024-08-20T21:43:23.2736446Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex128 PASSED [0.0082s] [ 58%] 2024-08-20T21:43:23.2737080Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex32 PASSED [0.0084s] [ 58%] 2024-08-20T21:43:23.2737724Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex64 PASSED [0.0082s] [ 58%] 2024-08-20T21:43:23.2738374Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float16 PASSED [0.0081s] [ 58%] 2024-08-20T21:43:23.2739009Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float32 PASSED [0.0084s] [ 58%] 2024-08-20T21:43:23.2739623Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float64 PASSED [0.0081s] [ 58%] 2024-08-20T21:43:23.2740225Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int16 PASSED [0.0084s] [ 58%] 2024-08-20T21:43:23.2740834Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int32 PASSED [0.0081s] [ 58%] 2024-08-20T21:43:23.2741563Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int64 PASSED [0.0084s] [ 58%] 2024-08-20T21:43:23.2742168Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int8 PASSED [0.0081s] [ 58%] 2024-08-20T21:43:23.2742782Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_uint8 PASSED [0.0084s] [ 58%] 2024-08-20T21:43:23.2743409Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bfloat16 PASSED [0.0081s] [ 58%] 2024-08-20T21:43:23.2744029Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bool PASSED [0.0083s] [ 58%] 2024-08-20T21:43:23.2744705Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex128 PASSED [0.0083s] [ 58%] 2024-08-20T21:43:23.2745344Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex32 PASSED [0.0082s] [ 58%] 2024-08-20T21:43:23.2745997Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex64 PASSED [0.0089s] [ 58%] 2024-08-20T21:43:23.2746618Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float16 PASSED [0.0082s] [ 58%] 2024-08-20T21:43:23.2747259Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float32 PASSED [0.0086s] [ 58%] 2024-08-20T21:43:23.2747885Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float64 PASSED [0.0081s] [ 58%] 2024-08-20T21:43:23.2748496Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int16 PASSED [0.0084s] [ 58%] 2024-08-20T21:43:23.2749119Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int32 PASSED [0.0082s] [ 58%] 2024-08-20T21:43:23.2749722Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int64 PASSED [0.0083s] [ 58%] 2024-08-20T21:43:23.2750341Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int8 PASSED [0.0082s] [ 58%] 2024-08-20T21:43:23.2750944Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_uint8 PASSED [0.0082s] [ 58%] 2024-08-20T21:43:23.2751577Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_bfloat16 PASSED [0.0096s] [ 58%] 2024-08-20T21:43:23.2752252Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float16 PASSED [0.0095s] [ 58%] 2024-08-20T21:43:23.2752877Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float32 PASSED [0.0097s] [ 58%] 2024-08-20T21:43:23.2753507Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float64 PASSED [0.0095s] [ 58%] 2024-08-20T21:43:23.2754290Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_bfloat16 PASSED [0.0080s] [ 58%] 2024-08-20T21:43:23.2755056Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float16 PASSED [0.0077s] [ 58%] 2024-08-20T21:43:23.2755866Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float32 PASSED [0.0079s] [ 58%] 2024-08-20T21:43:23.2756640Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float64 PASSED [0.0077s] [ 58%] 2024-08-20T21:43:23.2757408Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_bfloat16 PASSED [0.0100s] [ 58%] 2024-08-20T21:43:23.2758191Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float16 PASSED [0.0097s] [ 58%] 2024-08-20T21:43:23.2758979Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float32 PASSED [0.0098s] [ 58%] 2024-08-20T21:43:23.2759759Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float64 PASSED [0.0099s] [ 58%] 2024-08-20T21:43:23.2760532Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_bfloat16 PASSED [0.0109s] [ 58%] 2024-08-20T21:43:23.2761292Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float16 PASSED [0.0116s] [ 58%] 2024-08-20T21:43:23.2762063Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float32 PASSED [0.0109s] [ 59%] 2024-08-20T21:43:23.2762854Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float64 PASSED [0.0111s] [ 59%] 2024-08-20T21:43:23.2763643Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_bfloat16 PASSED [0.0088s] [ 59%] 2024-08-20T21:43:23.2764400Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float16 PASSED [0.0089s] [ 59%] 2024-08-20T21:43:23.2765171Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float32 PASSED [0.0088s] [ 59%] 2024-08-20T21:43:23.2765930Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float64 PASSED [0.0089s] [ 59%] 2024-08-20T21:43:23.2766698Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_bfloat16 PASSED [0.0169s] [ 59%] 2024-08-20T21:43:23.2767474Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float16 PASSED [0.0169s] [ 59%] 2024-08-20T21:43:23.2768231Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float32 PASSED [0.0171s] [ 59%] 2024-08-20T21:43:23.2769002Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float64 PASSED [0.0169s] [ 59%] 2024-08-20T21:43:23.2769762Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_bfloat16 PASSED [0.0152s] [ 59%] 2024-08-20T21:43:23.2770563Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float32 PASSED [0.0149s] [ 59%] 2024-08-20T21:43:23.2771331Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float64 PASSED [0.0152s] [ 59%] 2024-08-20T21:43:23.2772066Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_bfloat16 PASSED [0.0144s] [ 59%] 2024-08-20T21:43:23.2772805Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float16 PASSED [0.0145s] [ 59%] 2024-08-20T21:43:23.2773533Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float32 PASSED [0.0144s] [ 59%] 2024-08-20T21:43:23.2774294Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float64 PASSED [0.0143s] [ 59%] 2024-08-20T21:43:23.2775032Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_bfloat16 PASSED [0.0094s] [ 59%] 2024-08-20T21:43:23.2775747Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float16 PASSED [0.0092s] [ 59%] 2024-08-20T21:43:23.2776469Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float32 PASSED [0.0094s] [ 59%] 2024-08-20T21:43:23.2777206Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float64 PASSED [0.0092s] [ 59%] 2024-08-20T21:43:23.2777904Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_int64 PASSED [0.0099s] [ 59%] 2024-08-20T21:43:23.2778634Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_bfloat16 PASSED [0.0082s] [ 59%] 2024-08-20T21:43:23.2779344Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float16 PASSED [0.0084s] [ 59%] 2024-08-20T21:43:23.2780052Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float32 PASSED [0.0082s] [ 59%] 2024-08-20T21:43:23.2780806Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float64 PASSED [0.0082s] [ 59%] 2024-08-20T21:43:23.2781573Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_int64 PASSED [0.0084s] [ 59%] 2024-08-20T21:43:23.2782302Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float32 PASSED [0.0087s] [ 59%] 2024-08-20T21:43:23.2783013Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float64 PASSED [0.0089s] [ 59%] 2024-08-20T21:43:23.2783713Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_int64 PASSED [0.0087s] [ 59%] 2024-08-20T21:43:23.2784444Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_bfloat16 PASSED [0.0115s] [ 59%] 2024-08-20T21:43:23.2785158Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float16 PASSED [0.0113s] [ 59%] 2024-08-20T21:43:23.2785882Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float32 PASSED [0.0115s] [ 59%] 2024-08-20T21:43:23.2786594Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float64 PASSED [0.0113s] [ 59%] 2024-08-20T21:43:23.2787300Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_bfloat16 PASSED [0.0136s] [ 59%] 2024-08-20T21:43:23.2788014Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float16 PASSED [0.0134s] [ 59%] 2024-08-20T21:43:23.2788925Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float32 PASSED [0.0133s] [ 59%] 2024-08-20T21:43:23.2789634Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float64 PASSED [0.0137s] [ 59%] 2024-08-20T21:43:23.2790324Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int16 PASSED [0.0134s] [ 59%] 2024-08-20T21:43:23.2791010Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int32 PASSED [0.0137s] [ 59%] 2024-08-20T21:43:23.2791702Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int64 PASSED [0.0133s] [ 59%] 2024-08-20T21:43:23.2792416Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int8 PASSED [0.0135s] [ 59%] 2024-08-20T21:43:23.2793126Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_uint8 PASSED [0.0133s] [ 59%] 2024-08-20T21:43:23.2793896Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_bfloat16 PASSED [0.0111s] [ 59%] 2024-08-20T21:43:23.2794672Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float16 PASSED [0.0105s] [ 59%] 2024-08-20T21:43:23.2795490Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float32 PASSED [0.0106s] [ 59%] 2024-08-20T21:43:23.2796256Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float64 PASSED [0.0107s] [ 59%] 2024-08-20T21:43:23.2797107Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16 PASSED [0.0188s] [ 59%] 2024-08-20T21:43:23.2797944Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float16 PASSED [0.0191s] [ 59%] 2024-08-20T21:43:23.2798779Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float32 PASSED [0.0188s] [ 59%] 2024-08-20T21:43:23.2799651Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float64 PASSED [0.0190s] [ 59%] 2024-08-20T21:43:23.2800341Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_bfloat16 PASSED [0.0061s] [ 59%] 2024-08-20T21:43:23.2801035Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float16 PASSED [0.0063s] [ 59%] 2024-08-20T21:43:23.2801715Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float32 PASSED [0.0061s] [ 59%] 2024-08-20T21:43:23.2802392Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float64 PASSED [0.0061s] [ 59%] 2024-08-20T21:43:23.2803156Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bfloat16 PASSED [0.0063s] [ 59%] 2024-08-20T21:43:23.2803882Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bool PASSED [0.0061s] [ 59%] 2024-08-20T21:43:23.2804653Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex128 PASSED [0.0064s] [ 59%] 2024-08-20T21:43:23.2805405Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex64 PASSED [0.0062s] [ 59%] 2024-08-20T21:43:23.2806149Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float16 PASSED [0.0064s] [ 59%] 2024-08-20T21:43:23.2806937Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float32 PASSED [0.0061s] [ 60%] 2024-08-20T21:43:23.2807674Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float64 PASSED [0.0063s] [ 60%] 2024-08-20T21:43:23.2808416Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int16 PASSED [0.0061s] [ 60%] 2024-08-20T21:43:23.2809146Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int32 PASSED [0.0063s] [ 60%] 2024-08-20T21:43:23.2809869Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int64 PASSED [0.0061s] [ 60%] 2024-08-20T21:43:23.2810632Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int8 PASSED [0.0061s] [ 60%] 2024-08-20T21:43:23.2811359Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_uint8 PASSED [0.0063s] [ 60%] 2024-08-20T21:43:23.2812072Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_bfloat16 PASSED [0.0100s] [ 60%] 2024-08-20T21:43:23.2812782Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex128 PASSED [0.0104s] [ 60%] 2024-08-20T21:43:23.2813479Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex64 PASSED [0.0101s] [ 60%] 2024-08-20T21:43:23.2814206Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float16 PASSED [0.0102s] [ 60%] 2024-08-20T21:43:23.2814889Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float32 PASSED [0.0100s] [ 60%] 2024-08-20T21:43:23.2815586Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float64 PASSED [0.0102s] [ 60%] 2024-08-20T21:43:23.2816264Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_int64 PASSED [0.0099s] [ 60%] 2024-08-20T21:43:23.2816994Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_bfloat16 PASSED [0.0210s] [ 60%] 2024-08-20T21:43:23.2817717Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex128 PASSED [0.0214s] [ 60%] 2024-08-20T21:43:23.2818425Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex64 PASSED [0.0213s] [ 60%] 2024-08-20T21:43:23.2819130Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float16 PASSED [0.0211s] [ 60%] 2024-08-20T21:43:23.2819816Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float32 PASSED [0.0208s] [ 60%] 2024-08-20T21:43:23.2820498Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float64 PASSED [0.0212s] [ 60%] 2024-08-20T21:43:23.2821265Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_int64 PASSED [0.0207s] [ 60%] 2024-08-20T21:43:23.2821966Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_bfloat16 PASSED [0.0156s] [ 60%] 2024-08-20T21:43:23.2822688Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex128 PASSED [0.0158s] [ 60%] 2024-08-20T21:43:23.2823388Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex64 PASSED [0.0159s] [ 60%] 2024-08-20T21:43:23.2824075Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float16 PASSED [0.0153s] [ 60%] 2024-08-20T21:43:23.2824804Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float32 PASSED [0.0153s] [ 60%] 2024-08-20T21:43:23.2825480Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float64 PASSED [0.0164s] [ 60%] 2024-08-20T21:43:23.2826341Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_int64 PASSED [0.0154s] [ 60%] 2024-08-20T21:43:23.2827106Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_bfloat16 PASSED [0.0102s] [ 60%] 2024-08-20T21:43:23.2827880Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex128 PASSED [0.0101s] [ 60%] 2024-08-20T21:43:23.2828718Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex64 PASSED [0.0103s] [ 60%] 2024-08-20T21:43:23.2829472Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float16 PASSED [0.0100s] [ 60%] 2024-08-20T21:43:23.2830231Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float32 PASSED [0.0101s] [ 60%] 2024-08-20T21:43:23.2830971Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float64 PASSED [0.0100s] [ 60%] 2024-08-20T21:43:23.2831704Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_int64 PASSED [0.0099s] [ 60%] 2024-08-20T21:43:23.2832504Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_bfloat16 PASSED [0.0112s] [ 60%] 2024-08-20T21:43:23.2833271Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex128 PASSED [0.0112s] [ 60%] 2024-08-20T21:43:23.2834043Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex64 PASSED [0.0114s] [ 60%] 2024-08-20T21:43:23.2834788Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float16 PASSED [0.0110s] [ 60%] 2024-08-20T21:43:23.2835589Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float32 PASSED [0.0113s] [ 60%] 2024-08-20T21:43:23.2836342Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float64 PASSED [0.0110s] [ 60%] 2024-08-20T21:43:23.2837079Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_int64 PASSED [0.0113s] [ 60%] 2024-08-20T21:43:23.2837839Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_bfloat16 PASSED [0.0100s] [ 60%] 2024-08-20T21:43:23.2838604Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex128 PASSED [0.0105s] [ 60%] 2024-08-20T21:43:23.2839357Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex64 PASSED [0.0101s] [ 60%] 2024-08-20T21:43:23.2840114Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float16 PASSED [0.0100s] [ 60%] 2024-08-20T21:43:23.2840860Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float32 PASSED [0.0101s] [ 60%] 2024-08-20T21:43:23.2841616Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float64 PASSED [0.0100s] [ 60%] 2024-08-20T21:43:23.2842354Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_int64 PASSED [0.0107s] [ 60%] 2024-08-20T21:43:23.2843170Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bfloat16 PASSED [0.0081s] [ 60%] 2024-08-20T21:43:23.2843941Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bool PASSED [0.0083s] [ 60%] 2024-08-20T21:43:23.2844716Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float16 PASSED [0.0081s] [ 60%] 2024-08-20T21:43:23.2845506Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float32 PASSED [0.0083s] [ 60%] 2024-08-20T21:43:23.2846281Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float64 PASSED [0.0081s] [ 60%] 2024-08-20T21:43:23.2847075Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int16 PASSED [0.0082s] [ 60%] 2024-08-20T21:43:23.2847860Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int32 PASSED [0.0081s] [ 60%] 2024-08-20T21:43:23.2848624Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int64 PASSED [0.0080s] [ 60%] 2024-08-20T21:43:23.2849393Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int8 PASSED [0.0082s] [ 60%] 2024-08-20T21:43:23.2850151Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_uint8 PASSED [0.0080s] [ 60%] 2024-08-20T21:43:23.2850939Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_bfloat16 PASSED [0.0096s] [ 61%] 2024-08-20T21:43:23.2851709Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float16 PASSED [0.0094s] [ 61%] 2024-08-20T21:43:23.2852456Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float32 PASSED [0.0096s] [ 61%] 2024-08-20T21:43:23.2853218Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float64 PASSED [0.0093s] [ 61%] 2024-08-20T21:43:23.2853988Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_bfloat16 PASSED [0.0162s] [ 61%] 2024-08-20T21:43:23.2854716Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float16 PASSED [0.0159s] [ 61%] 2024-08-20T21:43:23.2855457Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float32 PASSED [0.0162s] [ 61%] 2024-08-20T21:43:23.2856184Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float64 PASSED [0.0159s] [ 61%] 2024-08-20T21:43:23.2856900Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float32 PASSED [0.0138s] [ 61%] 2024-08-20T21:43:23.2857589Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float64 PASSED [0.0147s] [ 61%] 2024-08-20T21:43:23.2858305Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_bfloat16 PASSED [0.0114s] [ 61%] 2024-08-20T21:43:23.2859031Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float16 PASSED [0.0122s] [ 61%] 2024-08-20T21:43:23.2859735Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float32 PASSED [0.0113s] [ 61%] 2024-08-20T21:43:23.2860450Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float64 PASSED [0.0116s] [ 61%] 2024-08-20T21:43:23.2861292Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_bfloat16 PASSED [0.0114s] [ 61%] 2024-08-20T21:43:23.2862006Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float16 PASSED [0.0118s] [ 61%] 2024-08-20T21:43:23.2862719Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float32 PASSED [0.0116s] [ 61%] 2024-08-20T21:43:23.2863414Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float64 PASSED [0.0115s] [ 61%] 2024-08-20T21:43:23.2864133Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_bfloat16 PASSED [0.0144s] [ 61%] 2024-08-20T21:43:23.2864823Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float16 PASSED [0.0144s] [ 61%] 2024-08-20T21:43:23.2865543Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float32 PASSED [0.0147s] [ 61%] 2024-08-20T21:43:23.2866249Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float64 PASSED [0.0143s] [ 61%] 2024-08-20T21:43:23.2866925Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_bfloat16 PASSED [0.0064s] [ 61%] 2024-08-20T21:43:23.2867611Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float16 PASSED [0.0061s] [ 61%] 2024-08-20T21:43:23.2868281Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float32 PASSED [0.0063s] [ 61%] 2024-08-20T21:43:23.2868974Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float64 PASSED [0.0062s] [ 61%] 2024-08-20T21:43:23.2869727Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_bfloat16 PASSED [0.0344s] [ 61%] 2024-08-20T21:43:23.2870461Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float16 PASSED [0.0325s] [ 61%] 2024-08-20T21:43:23.2871204Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float32 PASSED [0.0328s] [ 61%] 2024-08-20T21:43:23.2871959Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float64 PASSED [0.0334s] [ 61%] 2024-08-20T21:43:23.2872675Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_bfloat16 PASSED [0.0103s] [ 61%] 2024-08-20T21:43:23.2873396Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float16 PASSED [0.0105s] [ 61%] 2024-08-20T21:43:23.2874094Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float32 PASSED [0.0102s] [ 61%] 2024-08-20T21:43:23.2874806Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float64 PASSED [0.0110s] [ 61%] 2024-08-20T21:43:23.2875645Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16 PASSED [0.0083s] [ 61%] 2024-08-20T21:43:23.2876479Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float16 PASSED [0.0085s] [ 61%] 2024-08-20T21:43:23.2877323Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float32 PASSED [0.0083s] [ 61%] 2024-08-20T21:43:23.2878154Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float64 PASSED [0.0083s] [ 61%] 2024-08-20T21:43:23.2879030Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16 PASSED [0.0100s] [ 61%] 2024-08-20T21:43:23.2879905Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bool PASSED [0.0098s] [ 61%] 2024-08-20T21:43:23.2880779Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 PASSED [0.0100s] [ 61%] 2024-08-20T21:43:23.2881664Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex64 PASSED [0.0099s] [ 61%] 2024-08-20T21:43:23.2882508Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float16 PASSED [0.0100s] [ 61%] 2024-08-20T21:43:23.2883405Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float32 PASSED [0.0098s] [ 61%] 2024-08-20T21:43:23.2884264Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float64 PASSED [0.0100s] [ 61%] 2024-08-20T21:43:23.2885104Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int16 PASSED [0.0098s] [ 61%] 2024-08-20T21:43:23.2885962Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int32 PASSED [0.0099s] [ 61%] 2024-08-20T21:43:23.2886820Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int64 PASSED [0.0097s] [ 61%] 2024-08-20T21:43:23.2887669Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int8 PASSED [0.0098s] [ 61%] 2024-08-20T21:43:23.2888675Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_uint8 PASSED [0.0099s] [ 61%] 2024-08-20T21:43:23.2889458Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_bfloat16 PASSED [0.0232s] [ 61%] 2024-08-20T21:43:23.2890246Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float16 PASSED [0.0236s] [ 61%] 2024-08-20T21:43:23.2891052Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float32 PASSED [0.0234s] [ 61%] 2024-08-20T21:43:23.2891840Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float64 PASSED [0.0236s] [ 61%] 2024-08-20T21:43:23.2892618Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_bfloat16 PASSED [0.0295s] [ 61%] 2024-08-20T21:43:23.2893397Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float16 PASSED [0.0303s] [ 61%] 2024-08-20T21:43:23.2894178Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float32 PASSED [0.0297s] [ 61%] 2024-08-20T21:43:23.2894950Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float64 PASSED [0.0300s] [ 61%] 2024-08-20T21:43:23.2895724Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_bfloat16 PASSED [0.1854s] [ 61%] 2024-08-20T21:43:23.2896466Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float16 PASSED [0.1831s] [ 61%] 2024-08-20T21:43:23.2897206Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float32 PASSED [0.1851s] [ 62%] 2024-08-20T21:43:23.2897961Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float64 PASSED [0.1835s] [ 62%] 2024-08-20T21:43:23.2898670Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_bfloat16 PASSED [0.0091s] [ 62%] 2024-08-20T21:43:23.2899369Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float16 PASSED [0.0088s] [ 62%] 2024-08-20T21:43:23.2900040Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float32 PASSED [0.0087s] [ 62%] 2024-08-20T21:43:23.2900714Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float64 PASSED [0.0089s] [ 62%] 2024-08-20T21:43:23.2901510Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_bfloat16 PASSED [0.0290s] [ 62%] 2024-08-20T21:43:23.2902218Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float16 PASSED [0.0291s] [ 62%] 2024-08-20T21:43:23.2902902Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float32 PASSED [0.0290s] [ 62%] 2024-08-20T21:43:23.2903567Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float64 PASSED [0.0293s] [ 62%] 2024-08-20T21:43:23.2904281Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float32 PASSED [0.0208s] [ 62%] 2024-08-20T21:43:23.2905007Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float64 PASSED [0.0212s] [ 62%] 2024-08-20T21:43:23.2905758Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_bfloat16 PASSED [0.0158s] [ 62%] 2024-08-20T21:43:23.2906490Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float16 PASSED [0.0156s] [ 62%] 2024-08-20T21:43:23.2907199Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float32 PASSED [0.0159s] [ 62%] 2024-08-20T21:43:23.2907902Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float64 PASSED [0.0156s] [ 62%] 2024-08-20T21:43:23.2908659Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_bfloat16 PASSED [0.0083s] [ 62%] 2024-08-20T21:43:23.2909369Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float16 PASSED [0.0077s] [ 62%] 2024-08-20T21:43:23.2910090Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float32 PASSED [0.0079s] [ 62%] 2024-08-20T21:43:23.2910795Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float64 PASSED [0.0077s] [ 62%] 2024-08-20T21:43:23.2911521Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_bfloat16 PASSED [0.0063s] [ 62%] 2024-08-20T21:43:23.2912257Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float16 PASSED [0.0062s] [ 62%] 2024-08-20T21:43:23.2912974Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float32 PASSED [0.0061s] [ 62%] 2024-08-20T21:43:23.2913701Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float64 PASSED [0.0063s] [ 62%] 2024-08-20T21:43:23.2914409Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_bfloat16 PASSED [0.0066s] [ 62%] 2024-08-20T21:43:23.2915113Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float16 PASSED [0.0069s] [ 62%] 2024-08-20T21:43:23.2915830Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float32 PASSED [0.0066s] [ 62%] 2024-08-20T21:43:23.2916553Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float64 PASSED [0.0068s] [ 62%] 2024-08-20T21:43:23.2917259Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_bfloat16 PASSED [0.0072s] [ 62%] 2024-08-20T21:43:23.2917954Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float16 PASSED [0.0074s] [ 62%] 2024-08-20T21:43:23.2918645Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float32 PASSED [0.0072s] [ 62%] 2024-08-20T21:43:23.2919348Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float64 PASSED [0.0073s] [ 62%] 2024-08-20T21:43:23.2920065Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int16 PASSED [0.0071s] [ 62%] 2024-08-20T21:43:23.2920761Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int32 PASSED [0.0071s] [ 62%] 2024-08-20T21:43:23.2921440Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int64 PASSED [0.0073s] [ 62%] 2024-08-20T21:43:23.2922118Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int8 PASSED [0.0072s] [ 62%] 2024-08-20T21:43:23.2922901Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_bfloat16 PASSED [0.0108s] [ 62%] 2024-08-20T21:43:23.2923697Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float16 PASSED [0.0104s] [ 62%] 2024-08-20T21:43:23.2924477Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float32 PASSED [0.0112s] [ 62%] 2024-08-20T21:43:23.2925248Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float64 PASSED [0.0106s] [ 62%] 2024-08-20T21:43:23.2926173Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_bfloat16 PASSED [0.0096s] [ 62%] 2024-08-20T21:43:23.2926985Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float16 PASSED [0.0094s] [ 62%] 2024-08-20T21:43:23.2927691Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float32 PASSED [0.0096s] [ 62%] 2024-08-20T21:43:23.2928410Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float64 PASSED [0.0098s] [ 62%] 2024-08-20T21:43:23.2929145Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_bfloat16 PASSED [0.0097s] [ 62%] 2024-08-20T21:43:23.2929878Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float16 PASSED [0.0099s] [ 62%] 2024-08-20T21:43:23.2930617Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float32 PASSED [0.0096s] [ 62%] 2024-08-20T21:43:23.2931341Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float64 PASSED [0.0100s] [ 62%] 2024-08-20T21:43:23.2932108Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_bfloat16 PASSED [0.0141s] [ 62%] 2024-08-20T21:43:23.2932854Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float16 PASSED [0.0142s] [ 62%] 2024-08-20T21:43:23.2933604Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float32 PASSED [0.0139s] [ 62%] 2024-08-20T21:43:23.2934405Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float64 PASSED [0.0142s] [ 62%] 2024-08-20T21:43:23.2935170Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_bfloat16 PASSED [0.0139s] [ 62%] 2024-08-20T21:43:23.2935945Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float16 PASSED [0.0139s] [ 62%] 2024-08-20T21:43:23.2936709Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float32 PASSED [0.0142s] [ 62%] 2024-08-20T21:43:23.2937472Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float64 PASSED [0.0143s] [ 62%] 2024-08-20T21:43:23.2938284Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_uint8 PASSED [0.0248s] [ 62%] 2024-08-20T21:43:23.2939064Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_bfloat16 PASSED [0.0140s] [ 62%] 2024-08-20T21:43:23.2939843Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float16 PASSED [0.0141s] [ 62%] 2024-08-20T21:43:23.2940608Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float32 PASSED [0.0139s] [ 63%] 2024-08-20T21:43:23.2941465Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float64 PASSED [0.0147s] [ 63%] 2024-08-20T21:43:23.2942290Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_uint8 PASSED [0.0244s] [ 63%] 2024-08-20T21:43:23.2943061Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_bfloat16 PASSED [0.0140s] [ 63%] 2024-08-20T21:43:23.2943833Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float16 PASSED [0.0140s] [ 63%] 2024-08-20T21:43:23.2944587Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float32 PASSED [0.0139s] [ 63%] 2024-08-20T21:43:23.2945376Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float64 PASSED [0.0142s] [ 63%] 2024-08-20T21:43:23.2946192Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_bfloat16 PASSED [0.0139s] [ 63%] 2024-08-20T21:43:23.2946995Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float16 PASSED [0.0142s] [ 63%] 2024-08-20T21:43:23.2947804Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float32 PASSED [0.0139s] [ 63%] 2024-08-20T21:43:23.2948602Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float64 PASSED [0.0142s] [ 63%] 2024-08-20T21:43:23.2949393Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_uint8 PASSED [0.0138s] [ 63%] 2024-08-20T21:43:23.2950172Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_bfloat16 PASSED [0.0140s] [ 63%] 2024-08-20T21:43:23.2950929Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float16 PASSED [0.0139s] [ 63%] 2024-08-20T21:43:23.2951699Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float32 PASSED [0.0139s] [ 63%] 2024-08-20T21:43:23.2952459Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float64 PASSED [0.0142s] [ 63%] 2024-08-20T21:43:23.2953241Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_uint8 PASSED [0.0140s] [ 63%] 2024-08-20T21:43:23.2954037Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_bfloat16 PASSED [0.0142s] [ 63%] 2024-08-20T21:43:23.2954810Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float16 PASSED [0.0139s] [ 63%] 2024-08-20T21:43:23.2955597Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float32 PASSED [0.0142s] [ 63%] 2024-08-20T21:43:23.2956364Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float64 PASSED [0.0139s] [ 63%] 2024-08-20T21:43:23.2957077Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_bfloat16 PASSED [0.0149s] [ 63%] 2024-08-20T21:43:23.2957774Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float16 PASSED [0.0148s] [ 63%] 2024-08-20T21:43:23.2958448Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float32 PASSED [0.0140s] [ 63%] 2024-08-20T21:43:23.2959137Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float64 PASSED [0.0145s] [ 63%] 2024-08-20T21:43:23.2959830Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_bfloat16 PASSED [0.0078s] [ 63%] 2024-08-20T21:43:23.2960558Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex128 PASSED [0.0092s] [ 63%] 2024-08-20T21:43:23.2961275Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex64 PASSED [0.0090s] [ 63%] 2024-08-20T21:43:23.2961967Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float16 PASSED [0.0080s] [ 63%] 2024-08-20T21:43:23.2962663Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float32 PASSED [0.0077s] [ 63%] 2024-08-20T21:43:23.2963372Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float64 PASSED [0.0079s] [ 63%] 2024-08-20T21:43:23.2964079Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_bfloat16 PASSED [0.0078s] [ 63%] 2024-08-20T21:43:23.2964800Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float16 PASSED [0.0078s] [ 63%] 2024-08-20T21:43:23.2965510Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float32 PASSED [0.0080s] [ 63%] 2024-08-20T21:43:23.2966221Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float64 PASSED [0.0078s] [ 63%] 2024-08-20T21:43:23.2966924Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_bfloat16 PASSED [0.0093s] [ 63%] 2024-08-20T21:43:23.2967627Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float16 PASSED [0.0091s] [ 63%] 2024-08-20T21:43:23.2968338Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float32 PASSED [0.0093s] [ 63%] 2024-08-20T21:43:23.2969036Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float64 PASSED [0.0091s] [ 63%] 2024-08-20T21:43:23.2969738Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_bfloat16 PASSED [0.0144s] [ 63%] 2024-08-20T21:43:23.2970441Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex128 PASSED [0.0144s] [ 63%] 2024-08-20T21:43:23.2971174Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex64 PASSED [0.0145s] [ 63%] 2024-08-20T21:43:23.2971868Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float16 PASSED [0.0144s] [ 63%] 2024-08-20T21:43:23.2972545Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float32 PASSED [0.0143s] [ 63%] 2024-08-20T21:43:23.2973233Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float64 PASSED [0.0152s] [ 63%] 2024-08-20T21:43:23.2973911Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int16 PASSED [0.0142s] [ 63%] 2024-08-20T21:43:23.2974626Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int32 PASSED [0.0145s] [ 63%] 2024-08-20T21:43:23.2975318Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int64 PASSED [0.0143s] [ 63%] 2024-08-20T21:43:23.2975984Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int8 PASSED [0.0144s] [ 63%] 2024-08-20T21:43:23.2976661Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_uint8 PASSED [0.0142s] [ 63%] 2024-08-20T21:43:23.2977435Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_bfloat16 PASSED [0.0103s] [ 63%] 2024-08-20T21:43:23.2978226Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float16 PASSED [0.0105s] [ 63%] 2024-08-20T21:43:23.2978992Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float32 PASSED [0.0102s] [ 63%] 2024-08-20T21:43:23.2979755Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float64 PASSED [0.0105s] [ 63%] 2024-08-20T21:43:23.2980509Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_int64 PASSED [0.0103s] [ 63%] 2024-08-20T21:43:23.2981332Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_bfloat16 PASSED [0.0063s] [ 63%] 2024-08-20T21:43:23.2982085Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float16 PASSED [0.0061s] [ 63%] 2024-08-20T21:43:23.2982804Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float32 PASSED [0.0063s] [ 63%] 2024-08-20T21:43:23.2983516Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float64 PASSED [0.0061s] [ 63%] 2024-08-20T21:43:23.2984281Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_bfloat16 PASSED [0.0176s] [ 63%] 2024-08-20T21:43:23.2985054Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float16 PASSED [0.0179s] [ 64%] 2024-08-20T21:43:23.2985812Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float32 PASSED [0.0178s] [ 64%] 2024-08-20T21:43:23.2986579Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float64 PASSED [0.0180s] [ 64%] 2024-08-20T21:43:23.2987320Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int16 PASSED [0.0177s] [ 64%] 2024-08-20T21:43:23.2988075Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int32 PASSED [0.0178s] [ 64%] 2024-08-20T21:43:23.2989045Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int64 PASSED [0.0178s] [ 64%] 2024-08-20T21:43:23.2989779Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int8 PASSED [0.0184s] [ 64%] 2024-08-20T21:43:23.2990527Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_uint8 PASSED [0.0177s] [ 64%] 2024-08-20T21:43:23.2991240Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_bfloat16 PASSED [0.4545s] [ 64%] 2024-08-20T21:43:23.2991966Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float16 PASSED [0.4566s] [ 64%] 2024-08-20T21:43:23.2992675Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float32 PASSED [0.4521s] [ 64%] 2024-08-20T21:43:23.2993413Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float64 PASSED [0.4553s] [ 64%] 2024-08-20T21:43:23.2994138Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_bfloat16 PASSED [0.7581s] [ 64%] 2024-08-20T21:43:23.2994845Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float16 PASSED [0.7586s] [ 64%] 2024-08-20T21:43:23.2995549Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float32 PASSED [0.7721s] [ 64%] 2024-08-20T21:43:23.2996298Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float64 PASSED [0.7608s] [ 64%] 2024-08-20T21:43:23.2996995Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int16 PASSED [0.7654s] [ 64%] 2024-08-20T21:43:23.2997695Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int32 PASSED [0.7610s] [ 64%] 2024-08-20T21:43:23.2998382Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int64 PASSED [0.7606s] [ 64%] 2024-08-20T21:43:23.2999069Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int8 PASSED [0.7657s] [ 64%] 2024-08-20T21:43:23.2999799Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_uint8 PASSED [0.7631s] [ 64%] 2024-08-20T21:43:23.3000510Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_bfloat16 PASSED [0.3088s] [ 64%] 2024-08-20T21:43:23.3001227Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float16 PASSED [0.3072s] [ 64%] 2024-08-20T21:43:23.3001931Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float32 PASSED [0.3071s] [ 64%] 2024-08-20T21:43:23.3002634Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float64 PASSED [0.3082s] [ 64%] 2024-08-20T21:43:23.3003340Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int16 PASSED [0.3072s] [ 64%] 2024-08-20T21:43:23.3004034Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int32 PASSED [0.3083s] [ 64%] 2024-08-20T21:43:23.3004726Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int64 PASSED [0.3064s] [ 64%] 2024-08-20T21:43:23.3005417Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int8 PASSED [0.3080s] [ 64%] 2024-08-20T21:43:23.3006105Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_uint8 PASSED [0.3092s] [ 64%] 2024-08-20T21:43:23.3006892Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float32 PASSED [0.0994s] [ 64%] 2024-08-20T21:43:23.3007610Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float64 PASSED [0.0995s] [ 64%] 2024-08-20T21:43:23.3008369Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float32 PASSED [0.0288s] [ 64%] 2024-08-20T21:43:23.3009114Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float64 PASSED [0.0280s] [ 64%] 2024-08-20T21:43:23.3009834Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float32 PASSED [0.1924s] [ 64%] 2024-08-20T21:43:23.3010599Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float64 PASSED [0.1914s] [ 64%] 2024-08-20T21:43:23.3011339Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float32 PASSED [0.0555s] [ 64%] 2024-08-20T21:43:23.3012099Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float64 PASSED [0.0525s] [ 64%] 2024-08-20T21:43:23.3012814Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float32 PASSED [0.0682s] [ 64%] 2024-08-20T21:43:23.3013527Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float64 PASSED [0.0691s] [ 64%] 2024-08-20T21:43:23.3014320Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float32 PASSED [0.0234s] [ 64%] 2024-08-20T21:43:23.3015063Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float64 PASSED [0.0223s] [ 64%] 2024-08-20T21:43:23.3015752Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_bfloat16 PASSED [0.0062s] [ 64%] 2024-08-20T21:43:23.3016433Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float16 PASSED [0.0064s] [ 64%] 2024-08-20T21:43:23.3017101Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float32 PASSED [0.0061s] [ 64%] 2024-08-20T21:43:23.3017817Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float64 PASSED [0.0063s] [ 64%] 2024-08-20T21:43:23.3018512Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float16 PASSED [0.0078s] [ 64%] 2024-08-20T21:43:23.3019208Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float32 PASSED [0.0078s] [ 64%] 2024-08-20T21:43:23.3019894Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float64 PASSED [0.0080s] [ 64%] 2024-08-20T21:43:23.3020702Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_bfloat16 PASSED [0.1252s] [ 64%] 2024-08-20T21:43:23.3021608Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float16 PASSED [0.1253s] [ 64%] 2024-08-20T21:43:23.3022421Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float32 PASSED [0.1247s] [ 64%] 2024-08-20T21:43:23.3023248Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float64 PASSED [0.1255s] [ 64%] 2024-08-20T21:43:23.3023989Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float32 PASSED [0.0101s] [ 64%] 2024-08-20T21:43:23.3024735Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float64 PASSED [0.0100s] [ 64%] 2024-08-20T21:43:23.3025565Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float32 PASSED [0.0080s] [ 64%] 2024-08-20T21:43:23.3026532Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float64 PASSED [0.0078s] [ 64%] 2024-08-20T21:43:23.3027361Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16 PASSED [0.0070s] [ 64%] 2024-08-20T21:43:23.3028167Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float16 PASSED [0.0068s] [ 64%] 2024-08-20T21:43:23.3029037Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float32 PASSED [0.0070s] [ 65%] 2024-08-20T21:43:23.3029854Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float64 PASSED [0.0068s] [ 65%] 2024-08-20T21:43:23.3030555Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_bfloat16 PASSED [0.0385s] [ 65%] 2024-08-20T21:43:23.3031261Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float16 PASSED [0.0388s] [ 65%] 2024-08-20T21:43:23.3031945Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float32 PASSED [0.0387s] [ 65%] 2024-08-20T21:43:23.3032663Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float64 PASSED [0.0385s] [ 65%] 2024-08-20T21:43:23.3033391Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_bfloat16 PASSED [0.0087s] [ 65%] 2024-08-20T21:43:23.3034115Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex128 PASSED [0.0091s] [ 65%] 2024-08-20T21:43:23.3034852Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex64 PASSED [0.0088s] [ 65%] 2024-08-20T21:43:23.3035554Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float16 PASSED [0.0093s] [ 65%] 2024-08-20T21:43:23.3036297Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float32 PASSED [0.0087s] [ 65%] 2024-08-20T21:43:23.3037005Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float64 PASSED [0.0087s] [ 65%] 2024-08-20T21:43:23.3037682Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_one_hot_cpu_int64 PASSED [0.0078s] [ 65%] 2024-08-20T21:43:23.3038426Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bfloat16 PASSED [0.0086s] [ 65%] 2024-08-20T21:43:23.3039125Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bool PASSED [0.0058s] [ 65%] 2024-08-20T21:43:23.3039864Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex128 PASSED [0.0088s] [ 65%] 2024-08-20T21:43:23.3040629Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex64 PASSED [0.0090s] [ 65%] 2024-08-20T21:43:23.3041423Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float16 PASSED [0.0087s] [ 65%] 2024-08-20T21:43:23.3042156Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float32 PASSED [0.0089s] [ 65%] 2024-08-20T21:43:23.3042872Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float64 PASSED [0.0087s] [ 65%] 2024-08-20T21:43:23.3043646Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int16 PASSED [0.0089s] [ 65%] 2024-08-20T21:43:23.3044369Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int32 PASSED [0.0087s] [ 65%] 2024-08-20T21:43:23.3045075Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int64 PASSED [0.0087s] [ 65%] 2024-08-20T21:43:23.3045799Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int8 PASSED [0.0088s] [ 65%] 2024-08-20T21:43:23.3046511Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_uint8 PASSED [0.0087s] [ 65%] 2024-08-20T21:43:23.3047265Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bfloat16 PASSED [0.0305s] [ 65%] 2024-08-20T21:43:23.3047990Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bool PASSED [0.0296s] [ 65%] 2024-08-20T21:43:23.3048725Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex128 PASSED [0.0306s] [ 65%] 2024-08-20T21:43:23.3049476Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex64 PASSED [0.0301s] [ 65%] 2024-08-20T21:43:23.3050196Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float16 PASSED [0.0300s] [ 65%] 2024-08-20T21:43:23.3050943Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float32 PASSED [0.0298s] [ 65%] 2024-08-20T21:43:23.3051680Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float64 PASSED [0.0307s] [ 65%] 2024-08-20T21:43:23.3052390Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int16 PASSED [0.0297s] [ 65%] 2024-08-20T21:43:23.3053111Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int32 PASSED [0.0298s] [ 65%] 2024-08-20T21:43:23.3053853Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int64 PASSED [0.0299s] [ 65%] 2024-08-20T21:43:23.3054559Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int8 PASSED [0.0297s] [ 65%] 2024-08-20T21:43:23.3055281Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_uint8 PASSED [0.0301s] [ 65%] 2024-08-20T21:43:23.3056000Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_bfloat16 PASSED [0.0108s] [ 65%] 2024-08-20T21:43:23.3056748Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex128 PASSED [0.0111s] [ 65%] 2024-08-20T21:43:23.3057480Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex64 PASSED [0.0109s] [ 65%] 2024-08-20T21:43:23.3058194Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float32 PASSED [0.0109s] [ 65%] 2024-08-20T21:43:23.3058921Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float64 PASSED [0.0107s] [ 65%] 2024-08-20T21:43:23.3059618Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int16 PASSED [0.0108s] [ 65%] 2024-08-20T21:43:23.3060323Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int32 PASSED [0.0110s] [ 65%] 2024-08-20T21:43:23.3061099Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int64 PASSED [0.0108s] [ 65%] 2024-08-20T21:43:23.3061837Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int8 PASSED [0.0110s] [ 65%] 2024-08-20T21:43:23.3062539Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_uint8 PASSED [0.0108s] [ 65%] 2024-08-20T21:43:23.3063271Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_bfloat16 PASSED [0.0110s] [ 65%] 2024-08-20T21:43:23.3064029Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex128 PASSED [0.0109s] [ 65%] 2024-08-20T21:43:23.3064761Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex64 PASSED [0.0111s] [ 65%] 2024-08-20T21:43:23.3065518Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float32 PASSED [0.0108s] [ 65%] 2024-08-20T21:43:23.3066263Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float64 PASSED [0.0111s] [ 65%] 2024-08-20T21:43:23.3066978Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int16 PASSED [0.0108s] [ 65%] 2024-08-20T21:43:23.3067701Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int32 PASSED [0.0107s] [ 65%] 2024-08-20T21:43:23.3068413Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int64 PASSED [0.0109s] [ 65%] 2024-08-20T21:43:23.3069143Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int8 PASSED [0.0107s] [ 65%] 2024-08-20T21:43:23.3069870Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_uint8 PASSED [0.0110s] [ 65%] 2024-08-20T21:43:23.3070657Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_bfloat16 PASSED [0.0078s] [ 65%] 2024-08-20T21:43:23.3071462Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex128 PASSED [0.0080s] [ 65%] 2024-08-20T21:43:23.3072283Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex64 PASSED [0.0078s] [ 65%] 2024-08-20T21:43:23.3073058Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float32 PASSED [0.0079s] [ 66%] 2024-08-20T21:43:23.3073842Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float64 PASSED [0.0077s] [ 66%] 2024-08-20T21:43:23.3074609Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int16 PASSED [0.0078s] [ 66%] 2024-08-20T21:43:23.3075387Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int32 PASSED [0.0077s] [ 66%] 2024-08-20T21:43:23.3076152Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int64 PASSED [0.0078s] [ 66%] 2024-08-20T21:43:23.3076914Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int8 PASSED [0.0079s] [ 66%] 2024-08-20T21:43:23.3077696Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_uint8 PASSED [0.0077s] [ 66%] 2024-08-20T21:43:23.3078453Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_bfloat16 PASSED [0.0086s] [ 66%] 2024-08-20T21:43:23.3079231Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex128 PASSED [0.0084s] [ 66%] 2024-08-20T21:43:23.3080022Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex64 PASSED [0.0086s] [ 66%] 2024-08-20T21:43:23.3080770Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float16 PASSED [0.0083s] [ 66%] 2024-08-20T21:43:23.3081534Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float32 PASSED [0.0084s] [ 66%] 2024-08-20T21:43:23.3082278Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float64 PASSED [0.0083s] [ 66%] 2024-08-20T21:43:23.3083024Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int16 PASSED [0.0084s] [ 66%] 2024-08-20T21:43:23.3083783Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int32 PASSED [0.0082s] [ 66%] 2024-08-20T21:43:23.3084521Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int64 PASSED [0.0082s] [ 66%] 2024-08-20T21:43:23.3085258Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int8 PASSED [0.0084s] [ 66%] 2024-08-20T21:43:23.3085994Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_uint8 PASSED [0.0082s] [ 66%] 2024-08-20T21:43:23.3086690Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float32 PASSED [0.0095s] [ 66%] 2024-08-20T21:43:23.3087400Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float64 PASSED [0.0092s] [ 66%] 2024-08-20T21:43:23.3088354Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bfloat16 PASSED [0.0073s] [ 66%] 2024-08-20T21:43:23.3089082Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bool PASSED [0.0072s] [ 66%] 2024-08-20T21:43:23.3089829Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex128 PASSED [0.0074s] [ 66%] 2024-08-20T21:43:23.3090617Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex64 PASSED [0.0072s] [ 66%] 2024-08-20T21:43:23.3091338Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float16 PASSED [0.0071s] [ 66%] 2024-08-20T21:43:23.3092058Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float32 PASSED [0.0073s] [ 66%] 2024-08-20T21:43:23.3092792Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float64 PASSED [0.0071s] [ 66%] 2024-08-20T21:43:23.3093505Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int16 PASSED [0.0074s] [ 66%] 2024-08-20T21:43:23.3094227Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int32 PASSED [0.0071s] [ 66%] 2024-08-20T21:43:23.3094937Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int64 PASSED [0.0073s] [ 66%] 2024-08-20T21:43:23.3095644Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int8 PASSED [0.0071s] [ 66%] 2024-08-20T21:43:23.3096369Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_uint8 PASSED [0.0073s] [ 66%] 2024-08-20T21:43:23.3097113Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bfloat16 PASSED [0.0071s] [ 66%] 2024-08-20T21:43:23.3097878Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bool PASSED [0.0073s] [ 66%] 2024-08-20T21:43:23.3098633Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex128 PASSED [0.0072s] [ 66%] 2024-08-20T21:43:23.3099382Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex64 PASSED [0.0072s] [ 66%] 2024-08-20T21:43:23.3100127Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float16 PASSED [0.0076s] [ 66%] 2024-08-20T21:43:23.3100860Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float32 PASSED [0.0072s] [ 66%] 2024-08-20T21:43:23.3101715Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float64 PASSED [0.0074s] [ 66%] 2024-08-20T21:43:23.3102445Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int16 PASSED [0.0071s] [ 66%] 2024-08-20T21:43:23.3103172Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int32 PASSED [0.0074s] [ 66%] 2024-08-20T21:43:23.3103916Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int64 PASSED [0.0071s] [ 66%] 2024-08-20T21:43:23.3104634Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int8 PASSED [0.0074s] [ 66%] 2024-08-20T21:43:23.3105394Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_uint8 PASSED [0.0072s] [ 66%] 2024-08-20T21:43:23.3106137Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_bfloat16 PASSED [0.0424s] [ 66%] 2024-08-20T21:43:23.3106877Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float16 PASSED [0.0430s] [ 66%] 2024-08-20T21:43:23.3107627Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float32 PASSED [0.0425s] [ 66%] 2024-08-20T21:43:23.3108401Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float64 PASSED [0.0430s] [ 66%] 2024-08-20T21:43:23.3109140Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int16 PASSED [0.0423s] [ 66%] 2024-08-20T21:43:23.3109868Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int32 PASSED [0.0428s] [ 66%] 2024-08-20T21:43:23.3110594Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int64 PASSED [0.0427s] [ 66%] 2024-08-20T21:43:23.3111322Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int8 PASSED [0.0423s] [ 66%] 2024-08-20T21:43:23.3112049Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_uint8 PASSED [0.0425s] [ 66%] 2024-08-20T21:43:23.3112749Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_bfloat16 PASSED [0.0179s] [ 66%] 2024-08-20T21:43:23.3113423Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float16 PASSED [0.0181s] [ 66%] 2024-08-20T21:43:23.3114101Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float32 PASSED [0.0179s] [ 66%] 2024-08-20T21:43:23.3114788Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float64 PASSED [0.0180s] [ 66%] 2024-08-20T21:43:23.3115472Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_bfloat16 PASSED [0.0062s] [ 66%] 2024-08-20T21:43:23.3116197Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float16 PASSED [0.0061s] [ 66%] 2024-08-20T21:43:23.3116868Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float32 PASSED [0.0062s] [ 67%] 2024-08-20T21:43:23.3117544Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float64 PASSED [0.0061s] [ 67%] 2024-08-20T21:43:23.3118218Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int16 PASSED [0.0062s] [ 67%] 2024-08-20T21:43:23.3118886Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int32 PASSED [0.0061s] [ 67%] 2024-08-20T21:43:23.3119579Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int64 PASSED [0.0063s] [ 67%] 2024-08-20T21:43:23.3120262Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int8 PASSED [0.0062s] [ 67%] 2024-08-20T21:43:23.3120924Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_uint8 PASSED [0.0063s] [ 67%] 2024-08-20T21:43:23.3121611Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_bfloat16 PASSED [0.0066s] [ 67%] 2024-08-20T21:43:23.3122284Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float16 PASSED [0.0068s] [ 67%] 2024-08-20T21:43:23.3122988Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float32 PASSED [0.0067s] [ 67%] 2024-08-20T21:43:23.3123673Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float64 PASSED [0.0066s] [ 67%] 2024-08-20T21:43:23.3124333Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int16 PASSED [0.0068s] [ 67%] 2024-08-20T21:43:23.3125004Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int32 PASSED [0.0067s] [ 67%] 2024-08-20T21:43:23.3125836Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int64 PASSED [0.0068s] [ 67%] 2024-08-20T21:43:23.3126605Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int8 PASSED [0.0066s] [ 67%] 2024-08-20T21:43:23.3127279Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_uint8 PASSED [0.0069s] [ 67%] 2024-08-20T21:43:23.3127983Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_bfloat16 PASSED [0.0077s] [ 67%] 2024-08-20T21:43:23.3128710Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex128 PASSED [0.0079s] [ 67%] 2024-08-20T21:43:23.3129418Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex64 PASSED [0.0078s] [ 67%] 2024-08-20T21:43:23.3130115Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float16 PASSED [0.0079s] [ 67%] 2024-08-20T21:43:23.3130824Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float32 PASSED [0.0077s] [ 67%] 2024-08-20T21:43:23.3131508Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float64 PASSED [0.0078s] [ 67%] 2024-08-20T21:43:23.3132211Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_bfloat16 PASSED [0.0074s] [ 67%] 2024-08-20T21:43:23.3132884Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float32 PASSED [0.0072s] [ 67%] 2024-08-20T21:43:23.3133562Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float64 PASSED [0.0074s] [ 67%] 2024-08-20T21:43:23.3134437Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_bfloat16 PASSED [0.0180s] [ 67%] 2024-08-20T21:43:23.3135250Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float16 PASSED [0.0183s] [ 67%] 2024-08-20T21:43:23.3136081Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float32 PASSED [0.0179s] [ 67%] 2024-08-20T21:43:23.3136888Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float64 PASSED [0.0184s] [ 67%] 2024-08-20T21:43:23.3137570Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_bfloat16 PASSED [0.0061s] [ 67%] 2024-08-20T21:43:23.3138296Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float16 PASSED [0.0063s] [ 67%] 2024-08-20T21:43:23.3138979Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float32 PASSED [0.0061s] [ 67%] 2024-08-20T21:43:23.3139659Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float64 PASSED [0.0061s] [ 67%] 2024-08-20T21:43:23.3140399Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex128 PASSED [0.0064s] [ 67%] 2024-08-20T21:43:23.3141409Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex64 PASSED [0.0061s] [ 67%] 2024-08-20T21:43:23.3142188Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_bfloat16 PASSED [0.0063s] [ 67%] 2024-08-20T21:43:23.3142863Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float16 PASSED [0.0061s] [ 67%] 2024-08-20T21:43:23.3143550Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float32 PASSED [0.0063s] [ 67%] 2024-08-20T21:43:23.3144220Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float64 PASSED [0.0061s] [ 67%] 2024-08-20T21:43:23.3144997Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_bfloat16 PASSED [0.0091s] [ 67%] 2024-08-20T21:43:23.3145735Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float16 PASSED [0.0089s] [ 67%] 2024-08-20T21:43:23.3146464Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float32 PASSED [0.0091s] [ 67%] 2024-08-20T21:43:23.3147201Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float64 PASSED [0.0089s] [ 67%] 2024-08-20T21:43:23.3147950Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_bfloat16 PASSED [0.0078s] [ 67%] 2024-08-20T21:43:23.3148687Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float16 PASSED [0.0080s] [ 67%] 2024-08-20T21:43:23.3149445Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float32 PASSED [0.0078s] [ 67%] 2024-08-20T21:43:23.3150183Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float64 PASSED [0.0080s] [ 67%] 2024-08-20T21:43:23.3150902Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_bfloat16 PASSED [0.0082s] [ 67%] 2024-08-20T21:43:23.3151595Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float16 PASSED [0.0083s] [ 67%] 2024-08-20T21:43:23.3152318Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float32 PASSED [0.0082s] [ 67%] 2024-08-20T21:43:23.3153012Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float64 PASSED [0.0083s] [ 67%] 2024-08-20T21:43:23.3153771Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_bfloat16 PASSED [0.0081s] [ 67%] 2024-08-20T21:43:23.3154554Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex128 PASSED [0.0082s] [ 67%] 2024-08-20T21:43:23.3155318Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex64 PASSED [0.0083s] [ 67%] 2024-08-20T21:43:23.3156098Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float16 PASSED [0.0081s] [ 67%] 2024-08-20T21:43:23.3156869Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float32 PASSED [0.0083s] [ 67%] 2024-08-20T21:43:23.3157621Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float64 PASSED [0.0081s] [ 67%] 2024-08-20T21:43:23.3158372Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int16 PASSED [0.0083s] [ 67%] 2024-08-20T21:43:23.3159109Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int32 PASSED [0.0082s] [ 67%] 2024-08-20T21:43:23.3159874Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int64 PASSED [0.0083s] [ 68%] 2024-08-20T21:43:23.3160626Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int8 PASSED [0.0082s] [ 68%] 2024-08-20T21:43:23.3161359Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_uint8 PASSED [0.0083s] [ 68%] 2024-08-20T21:43:23.3162080Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_bfloat16 PASSED [0.0061s] [ 68%] 2024-08-20T21:43:23.3162805Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float16 PASSED [0.0061s] [ 68%] 2024-08-20T21:43:23.3163499Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float32 PASSED [0.0066s] [ 68%] 2024-08-20T21:43:23.3164199Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float64 PASSED [0.0061s] [ 68%] 2024-08-20T21:43:23.3164912Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_bfloat16 PASSED [0.0073s] [ 68%] 2024-08-20T21:43:23.3165640Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float16 PASSED [0.0072s] [ 68%] 2024-08-20T21:43:23.3166353Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float32 PASSED [0.0074s] [ 68%] 2024-08-20T21:43:23.3167062Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float64 PASSED [0.0072s] [ 68%] 2024-08-20T21:43:23.3167776Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_bfloat16 PASSED [0.0063s] [ 68%] 2024-08-20T21:43:23.3168493Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex128 PASSED [0.0061s] [ 68%] 2024-08-20T21:43:23.3169215Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex64 PASSED [0.0063s] [ 68%] 2024-08-20T21:43:23.3169916Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float16 PASSED [0.0062s] [ 68%] 2024-08-20T21:43:23.3170636Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float32 PASSED [0.0061s] [ 68%] 2024-08-20T21:43:23.3171331Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float64 PASSED [0.0063s] [ 68%] 2024-08-20T21:43:23.3172018Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int16 PASSED [0.0061s] [ 68%] 2024-08-20T21:43:23.3172713Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int32 PASSED [0.0063s] [ 68%] 2024-08-20T21:43:23.3173391Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int64 PASSED [0.0061s] [ 68%] 2024-08-20T21:43:23.3174096Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int8 PASSED [0.0063s] [ 68%] 2024-08-20T21:43:23.3174800Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_uint8 PASSED [0.0062s] [ 68%] 2024-08-20T21:43:23.3175510Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_bfloat16 PASSED [0.0063s] [ 68%] 2024-08-20T21:43:23.3176236Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex128 PASSED [0.0061s] [ 68%] 2024-08-20T21:43:23.3176977Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex64 PASSED [0.0063s] [ 68%] 2024-08-20T21:43:23.3177732Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float16 PASSED [0.0061s] [ 68%] 2024-08-20T21:43:23.3178462Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float32 PASSED [0.0061s] [ 68%] 2024-08-20T21:43:23.3179175Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float64 PASSED [0.0065s] [ 68%] 2024-08-20T21:43:23.3179874Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int16 PASSED [0.0061s] [ 68%] 2024-08-20T21:43:23.3180608Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int32 PASSED [0.0063s] [ 68%] 2024-08-20T21:43:23.3181379Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int64 PASSED [0.0061s] [ 68%] 2024-08-20T21:43:23.3182100Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int8 PASSED [0.0063s] [ 68%] 2024-08-20T21:43:23.3182790Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_uint8 PASSED [0.0061s] [ 68%] 2024-08-20T21:43:23.3183495Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_bfloat16 PASSED [0.0070s] [ 68%] 2024-08-20T21:43:23.3184241Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float16 PASSED [0.0068s] [ 68%] 2024-08-20T21:43:23.3184936Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float32 PASSED [0.0069s] [ 68%] 2024-08-20T21:43:23.3185647Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float64 PASSED [0.0069s] [ 68%] 2024-08-20T21:43:23.3186343Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int16 PASSED [0.0068s] [ 68%] 2024-08-20T21:43:23.3187031Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int32 PASSED [0.0070s] [ 68%] 2024-08-20T21:43:23.3187728Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int64 PASSED [0.0068s] [ 68%] 2024-08-20T21:43:23.3188662Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int8 PASSED [0.0069s] [ 68%] 2024-08-20T21:43:23.3189366Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_uint8 PASSED [0.0068s] [ 68%] 2024-08-20T21:43:23.3190132Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_bfloat16 PASSED [0.0087s] [ 68%] 2024-08-20T21:43:23.3190902Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex128 PASSED [0.0086s] [ 68%] 2024-08-20T21:43:23.3196938Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex64 PASSED [0.0087s] [ 68%] 2024-08-20T21:43:23.3197853Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float16 PASSED [0.0084s] [ 68%] 2024-08-20T21:43:23.3198643Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float32 PASSED [0.0085s] [ 68%] 2024-08-20T21:43:23.3199407Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float64 PASSED [0.0084s] [ 68%] 2024-08-20T21:43:23.3200156Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int16 PASSED [0.0083s] [ 68%] 2024-08-20T21:43:23.3200918Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int32 PASSED [0.0089s] [ 68%] 2024-08-20T21:43:23.3201694Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int64 PASSED [0.0083s] [ 68%] 2024-08-20T21:43:23.3202456Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int8 PASSED [0.0085s] [ 68%] 2024-08-20T21:43:23.3203198Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_uint8 PASSED [0.0083s] [ 68%] 2024-08-20T21:43:23.3204038Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16 PASSED [0.0089s] [ 68%] 2024-08-20T21:43:23.3204947Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 PASSED [0.0088s] [ 68%] 2024-08-20T21:43:23.3205807Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex64 PASSED [0.0089s] [ 68%] 2024-08-20T21:43:23.3206651Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float16 PASSED [0.0088s] [ 68%] 2024-08-20T21:43:23.3207490Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float32 PASSED [0.0086s] [ 68%] 2024-08-20T21:43:23.3208324Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float64 PASSED [0.0088s] [ 68%] 2024-08-20T21:43:23.3209168Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int16 PASSED [0.0086s] [ 68%] 2024-08-20T21:43:23.3209991Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int32 PASSED [0.0087s] [ 69%] 2024-08-20T21:43:23.3210832Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int64 PASSED [0.0088s] [ 69%] 2024-08-20T21:43:23.3211649Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int8 PASSED [0.0085s] [ 69%] 2024-08-20T21:43:23.3212516Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_uint8 PASSED [0.0088s] [ 69%] 2024-08-20T21:43:23.3213208Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bfloat16 PASSED [0.0875s] [ 69%] 2024-08-20T21:43:23.3213911Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex128 PASSED [0.0897s] [ 69%] 2024-08-20T21:43:23.3214623Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex64 PASSED [0.0899s] [ 69%] 2024-08-20T21:43:23.3215311Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float16 PASSED [0.0875s] [ 69%] 2024-08-20T21:43:23.3216031Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float32 PASSED [0.0887s] [ 69%] 2024-08-20T21:43:23.3216713Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float64 PASSED [0.0879s] [ 69%] 2024-08-20T21:43:23.3217472Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_bfloat16 PASSED [0.0076s] [ 69%] 2024-08-20T21:43:23.3218247Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float16 PASSED [0.0067s] [ 69%] 2024-08-20T21:43:23.3218999Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float32 PASSED [0.0068s] [ 69%] 2024-08-20T21:43:23.3219781Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float64 PASSED [0.0067s] [ 69%] 2024-08-20T21:43:23.3220523Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_uint8 PASSED [0.0068s] [ 69%] 2024-08-20T21:43:23.3221371Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_bfloat16 PASSED [0.0109s] [ 69%] 2024-08-20T21:43:23.3222142Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float16 PASSED [0.0109s] [ 69%] 2024-08-20T21:43:23.3222931Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float32 PASSED [0.0110s] [ 69%] 2024-08-20T21:43:23.3223686Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float64 PASSED [0.0109s] [ 69%] 2024-08-20T21:43:23.3224424Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_uint8 PASSED [0.0111s] [ 69%] 2024-08-20T21:43:23.3225048Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bfloat16 PASSED [0.0167s] [ 69%] 2024-08-20T21:43:23.3225860Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bool PASSED [0.0169s] [ 69%] 2024-08-20T21:43:23.3226529Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex128 PASSED [0.0166s] [ 69%] 2024-08-20T21:43:23.3227160Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex32 PASSED [0.0168s] [ 69%] 2024-08-20T21:43:23.3227804Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex64 PASSED [0.0166s] [ 69%] 2024-08-20T21:43:23.3228422Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float16 PASSED [0.0167s] [ 69%] 2024-08-20T21:43:23.3229047Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float32 PASSED [0.0165s] [ 69%] 2024-08-20T21:43:23.3229650Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float64 PASSED [0.0167s] [ 69%] 2024-08-20T21:43:23.3230253Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int16 PASSED [0.0169s] [ 69%] 2024-08-20T21:43:23.3230940Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int32 PASSED [0.0165s] [ 69%] 2024-08-20T21:43:23.3231533Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int64 PASSED [0.0169s] [ 69%] 2024-08-20T21:43:23.3232146Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int8 PASSED [0.0164s] [ 69%] 2024-08-20T21:43:23.3232739Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_uint8 PASSED [0.0172s] [ 69%] 2024-08-20T21:43:23.3233403Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bfloat16 PASSED [0.0344s] [ 69%] 2024-08-20T21:43:23.3234057Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bool PASSED [0.0344s] [ 69%] 2024-08-20T21:43:23.3234767Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex128 PASSED [0.0348s] [ 69%] 2024-08-20T21:43:23.3235454Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex32 PASSED [0.0346s] [ 69%] 2024-08-20T21:43:23.3236118Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex64 PASSED [0.0349s] [ 69%] 2024-08-20T21:43:23.3236770Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float16 PASSED [0.0345s] [ 69%] 2024-08-20T21:43:23.3237479Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float32 PASSED [0.0346s] [ 69%] 2024-08-20T21:43:23.3238129Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float64 PASSED [0.0351s] [ 69%] 2024-08-20T21:43:23.3238789Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int16 PASSED [0.0348s] [ 69%] 2024-08-20T21:43:23.3239433Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int32 PASSED [0.0350s] [ 69%] 2024-08-20T21:43:23.3240068Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int64 PASSED [0.0344s] [ 69%] 2024-08-20T21:43:23.3240763Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int8 PASSED [0.0346s] [ 69%] 2024-08-20T21:43:23.3241404Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_uint8 PASSED [0.0347s] [ 69%] 2024-08-20T21:43:23.3242003Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_bfloat16 PASSED [0.0265s] [ 69%] 2024-08-20T21:43:23.3242625Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex128 PASSED [0.0273s] [ 69%] 2024-08-20T21:43:23.3243227Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex64 PASSED [0.0268s] [ 69%] 2024-08-20T21:43:23.3243834Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float16 PASSED [0.0266s] [ 69%] 2024-08-20T21:43:23.3244423Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float32 PASSED [0.0263s] [ 69%] 2024-08-20T21:43:23.3245009Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float64 PASSED [0.0263s] [ 69%] 2024-08-20T21:43:23.3245645Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_bfloat16 PASSED [0.0066s] [ 69%] 2024-08-20T21:43:23.3246282Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex128 PASSED [0.0062s] [ 69%] 2024-08-20T21:43:23.3246921Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex64 PASSED [0.0064s] [ 69%] 2024-08-20T21:43:23.3247535Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float16 PASSED [0.0061s] [ 69%] 2024-08-20T21:43:23.3248174Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float32 PASSED [0.0064s] [ 69%] 2024-08-20T21:43:23.3248802Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float64 PASSED [0.0061s] [ 69%] 2024-08-20T21:43:23.3249427Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_bfloat16 PASSED [0.0068s] [ 69%] 2024-08-20T21:43:23.3250078Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex128 PASSED [0.0067s] [ 70%] 2024-08-20T21:43:23.3250710Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex64 PASSED [0.0069s] [ 70%] 2024-08-20T21:43:23.3251325Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float16 PASSED [0.0067s] [ 70%] 2024-08-20T21:43:23.3251993Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float32 PASSED [0.0066s] [ 70%] 2024-08-20T21:43:23.3252608Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float64 PASSED [0.0068s] [ 70%] 2024-08-20T21:43:23.3253238Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex128 PASSED [0.0057s] [ 70%] 2024-08-20T21:43:23.3253883Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex64 PASSED [0.0059s] [ 70%] 2024-08-20T21:43:23.3254497Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float32 PASSED [0.0057s] [ 70%] 2024-08-20T21:43:23.3255151Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float64 PASSED [0.0060s] [ 70%] 2024-08-20T21:43:23.3255765Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_bfloat16 PASSED [0.0072s] [ 70%] 2024-08-20T21:43:23.3256370Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float16 PASSED [0.0073s] [ 70%] 2024-08-20T21:43:23.3256990Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float32 PASSED [0.0072s] [ 70%] 2024-08-20T21:43:23.3257587Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float64 PASSED [0.0072s] [ 70%] 2024-08-20T21:43:23.3258288Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_bfloat16 PASSED [0.0058s] [ 70%] 2024-08-20T21:43:23.3258962Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex128 PASSED [0.0056s] [ 70%] 2024-08-20T21:43:23.3259630Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex64 PASSED [0.0061s] [ 70%] 2024-08-20T21:43:23.3260307Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float16 PASSED [0.0056s] [ 70%] 2024-08-20T21:43:23.3261046Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float32 PASSED [0.0058s] [ 70%] 2024-08-20T21:43:23.3261721Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float64 PASSED [0.0056s] [ 70%] 2024-08-20T21:43:23.3262481Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_bfloat16 SKIPPED [0.0002s] (Skipped!) [ 70%] 2024-08-20T21:43:23.3263232Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float16 SKIPPED [0.0003s] (Skipped!) [ 70%] 2024-08-20T21:43:23.3263997Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float32 SKIPPED [0.0001s] (Skipped!) [ 70%] 2024-08-20T21:43:23.3264751Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float64 SKIPPED [0.0001s] (Skipped!) [ 70%] 2024-08-20T21:43:23.3265367Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bfloat16 PASSED [0.0058s] [ 70%] 2024-08-20T21:43:23.3265983Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bool PASSED [0.0059s] [ 70%] 2024-08-20T21:43:23.3266592Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex128 PASSED [0.0057s] [ 70%] 2024-08-20T21:43:23.3267214Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex32 PASSED [0.0057s] [ 70%] 2024-08-20T21:43:23.3267814Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex64 PASSED [0.0059s] [ 70%] 2024-08-20T21:43:23.3268409Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float16 PASSED [0.0057s] [ 70%] 2024-08-20T21:43:23.3269008Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float32 PASSED [0.0059s] [ 70%] 2024-08-20T21:43:23.3269619Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float64 PASSED [0.0057s] [ 70%] 2024-08-20T21:43:23.3270214Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int16 PASSED [0.0059s] [ 70%] 2024-08-20T21:43:23.3270798Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int32 PASSED [0.0057s] [ 70%] 2024-08-20T21:43:23.3271375Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int64 PASSED [0.0059s] [ 70%] 2024-08-20T21:43:23.3271960Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int8 PASSED [0.0057s] [ 70%] 2024-08-20T21:43:23.3272568Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_uint8 PASSED [0.0059s] [ 70%] 2024-08-20T21:43:23.3273218Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bfloat16 PASSED [0.0082s] [ 70%] 2024-08-20T21:43:23.3273821Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bool PASSED [0.0081s] [ 70%] 2024-08-20T21:43:23.3274462Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex128 PASSED [0.0084s] [ 70%] 2024-08-20T21:43:23.3275105Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex32 PASSED [0.0082s] [ 70%] 2024-08-20T21:43:23.3275773Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex64 PASSED [0.0088s] [ 70%] 2024-08-20T21:43:23.3276406Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float16 PASSED [0.0082s] [ 70%] 2024-08-20T21:43:23.3277028Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float32 PASSED [0.0084s] [ 70%] 2024-08-20T21:43:23.3277649Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float64 PASSED [0.0082s] [ 70%] 2024-08-20T21:43:23.3278273Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int16 PASSED [0.0084s] [ 70%] 2024-08-20T21:43:23.3278881Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int32 PASSED [0.0082s] [ 70%] 2024-08-20T21:43:23.3279484Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int64 PASSED [0.0082s] [ 70%] 2024-08-20T21:43:23.3280106Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int8 PASSED [0.0083s] [ 70%] 2024-08-20T21:43:23.3280711Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_uint8 PASSED [0.0082s] [ 70%] 2024-08-20T21:43:23.3281347Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex128 PASSED [0.0903s] [ 70%] 2024-08-20T21:43:23.3281961Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex64 PASSED [0.0903s] [ 70%] 2024-08-20T21:43:23.3282561Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float32 PASSED [0.0885s] [ 70%] 2024-08-20T21:43:23.3283201Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float64 PASSED [0.0892s] [ 70%] 2024-08-20T21:43:23.3283808Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bfloat16 PASSED [0.0055s] [ 70%] 2024-08-20T21:43:23.3284405Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bool PASSED [0.0053s] [ 70%] 2024-08-20T21:43:23.3285022Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex128 PASSED [0.0051s] [ 70%] 2024-08-20T21:43:23.3285630Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex64 PASSED [0.0053s] [ 70%] 2024-08-20T21:43:23.3286240Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float16 PASSED [0.0051s] [ 70%] 2024-08-20T21:43:23.3286857Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float32 PASSED [0.0053s] [ 70%] 2024-08-20T21:43:23.3287460Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float64 PASSED [0.0051s] [ 70%] 2024-08-20T21:43:23.3288046Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int16 PASSED [0.0053s] [ 71%] 2024-08-20T21:43:23.3288869Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int32 PASSED [0.0051s] [ 71%] 2024-08-20T21:43:23.3289473Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int64 PASSED [0.0056s] [ 71%] 2024-08-20T21:43:23.3290094Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int8 PASSED [0.0052s] [ 71%] 2024-08-20T21:43:23.3290679Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_uint8 PASSED [0.0051s] [ 71%] 2024-08-20T21:43:23.3291352Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex128 PASSED [0.0143s] [ 71%] 2024-08-20T21:43:23.3292007Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex64 PASSED [0.0139s] [ 71%] 2024-08-20T21:43:23.3292660Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float32 PASSED [0.0140s] [ 71%] 2024-08-20T21:43:23.3293356Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float64 PASSED [0.0137s] [ 71%] 2024-08-20T21:43:23.3293975Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bfloat16 PASSED [0.0068s] [ 71%] 2024-08-20T21:43:23.3294586Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bool PASSED [0.0066s] [ 71%] 2024-08-20T21:43:23.3295219Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex128 PASSED [0.0067s] [ 71%] 2024-08-20T21:43:23.3295864Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex32 PASSED [0.0068s] [ 71%] 2024-08-20T21:43:23.3296496Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex64 PASSED [0.0066s] [ 71%] 2024-08-20T21:43:23.3297109Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float16 PASSED [0.0068s] [ 71%] 2024-08-20T21:43:23.3297739Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float32 PASSED [0.0066s] [ 71%] 2024-08-20T21:43:23.3298345Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float64 PASSED [0.0068s] [ 71%] 2024-08-20T21:43:23.3298963Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int16 PASSED [0.0066s] [ 71%] 2024-08-20T21:43:23.3299560Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int32 PASSED [0.0068s] [ 71%] 2024-08-20T21:43:23.3300155Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int64 PASSED [0.0066s] [ 71%] 2024-08-20T21:43:23.3300794Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int8 PASSED [0.0068s] [ 71%] 2024-08-20T21:43:23.3301445Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_uint8 PASSED [0.0066s] [ 71%] 2024-08-20T21:43:23.3302095Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex128 PASSED [0.0105s] [ 71%] 2024-08-20T21:43:23.3302746Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex64 PASSED [0.0110s] [ 71%] 2024-08-20T21:43:23.3303370Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float32 PASSED [0.0102s] [ 71%] 2024-08-20T21:43:23.3304005Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float64 PASSED [0.0104s] [ 71%] 2024-08-20T21:43:23.3304642Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float32 PASSED [0.0095s] [ 71%] 2024-08-20T21:43:23.3305242Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float64 PASSED [0.0097s] [ 71%] 2024-08-20T21:43:23.3305990Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bfloat16 PASSED [0.0097s] [ 71%] 2024-08-20T21:43:23.3306681Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bool PASSED [0.0097s] [ 71%] 2024-08-20T21:43:23.3307444Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float16 PASSED [0.0099s] [ 71%] 2024-08-20T21:43:23.3308142Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float32 PASSED [0.0098s] [ 71%] 2024-08-20T21:43:23.3308840Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float64 PASSED [0.0099s] [ 71%] 2024-08-20T21:43:23.3309548Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int16 PASSED [0.0097s] [ 71%] 2024-08-20T21:43:23.3310234Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int32 PASSED [0.0100s] [ 71%] 2024-08-20T21:43:23.3310958Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int64 PASSED [0.0097s] [ 71%] 2024-08-20T21:43:23.3311642Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int8 PASSED [0.0099s] [ 71%] 2024-08-20T21:43:23.3312326Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_uint8 PASSED [0.0097s] [ 71%] 2024-08-20T21:43:23.3313072Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bfloat16 PASSED [0.0099s] [ 71%] 2024-08-20T21:43:23.3313764Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bool PASSED [0.0096s] [ 71%] 2024-08-20T21:43:23.3314486Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float32 PASSED [0.0097s] [ 71%] 2024-08-20T21:43:23.3315189Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float64 PASSED [0.0098s] [ 71%] 2024-08-20T21:43:23.3315883Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int16 PASSED [0.0097s] [ 71%] 2024-08-20T21:43:23.3316592Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int32 PASSED [0.0099s] [ 71%] 2024-08-20T21:43:23.3317275Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int64 PASSED [0.0097s] [ 71%] 2024-08-20T21:43:23.3317979Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int8 PASSED [0.0104s] [ 71%] 2024-08-20T21:43:23.3318708Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_uint8 PASSED [0.0097s] [ 71%] 2024-08-20T21:43:23.3319420Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bfloat16 PASSED [0.0100s] [ 71%] 2024-08-20T21:43:23.3320122Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bool PASSED [0.0097s] [ 71%] 2024-08-20T21:43:23.3320825Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float32 PASSED [0.0099s] [ 71%] 2024-08-20T21:43:23.3321535Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float64 PASSED [0.0097s] [ 71%] 2024-08-20T21:43:23.3322256Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int16 PASSED [0.0097s] [ 71%] 2024-08-20T21:43:23.3322944Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int32 PASSED [0.0098s] [ 71%] 2024-08-20T21:43:23.3323634Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int64 PASSED [0.0097s] [ 71%] 2024-08-20T21:43:23.3324315Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int8 PASSED [0.0099s] [ 71%] 2024-08-20T21:43:23.3325014Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_uint8 PASSED [0.0097s] [ 71%] 2024-08-20T21:43:23.3326003Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bfloat16 PASSED [0.0099s] [ 71%] 2024-08-20T21:43:23.3326715Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bool PASSED [0.0097s] [ 71%] 2024-08-20T21:43:23.3327438Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float32 PASSED [0.0099s] [ 71%] 2024-08-20T21:43:23.3328134Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float64 PASSED [0.0098s] [ 72%] 2024-08-20T21:43:23.3328886Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int16 PASSED [0.0099s] [ 72%] 2024-08-20T21:43:23.3329574Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int32 PASSED [0.0097s] [ 72%] 2024-08-20T21:43:23.3330260Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int64 PASSED [0.0097s] [ 72%] 2024-08-20T21:43:23.3330961Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int8 PASSED [0.0098s] [ 72%] 2024-08-20T21:43:23.3331648Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_uint8 PASSED [0.0097s] [ 72%] 2024-08-20T21:43:23.3332359Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bfloat16 PASSED [0.0099s] [ 72%] 2024-08-20T21:43:23.3333067Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bool PASSED [0.0096s] [ 72%] 2024-08-20T21:43:23.3333774Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float32 PASSED [0.0103s] [ 72%] 2024-08-20T21:43:23.3334486Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float64 PASSED [0.0097s] [ 72%] 2024-08-20T21:43:23.3335173Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int16 PASSED [0.0099s] [ 72%] 2024-08-20T21:43:23.3335859Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int32 PASSED [0.0097s] [ 72%] 2024-08-20T21:43:23.3336594Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int64 PASSED [0.0099s] [ 72%] 2024-08-20T21:43:23.3337280Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int8 PASSED [0.0097s] [ 72%] 2024-08-20T21:43:23.3337978Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_uint8 PASSED [0.0097s] [ 72%] 2024-08-20T21:43:23.3338605Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_bfloat16 PASSED [0.0052s] [ 72%] 2024-08-20T21:43:23.3339250Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex128 PASSED [0.0051s] [ 72%] 2024-08-20T21:43:23.3339894Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex32 PASSED [0.0053s] [ 72%] 2024-08-20T21:43:23.3340561Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex64 PASSED [0.0050s] [ 72%] 2024-08-20T21:43:23.3341359Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float16 PASSED [0.0053s] [ 72%] 2024-08-20T21:43:23.3341984Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float32 PASSED [0.0051s] [ 72%] 2024-08-20T21:43:23.3342604Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float64 PASSED [0.0053s] [ 72%] 2024-08-20T21:43:23.3343225Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int16 PASSED [0.0051s] [ 72%] 2024-08-20T21:43:23.3343858Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int32 PASSED [0.0052s] [ 72%] 2024-08-20T21:43:23.3344476Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int64 PASSED [0.0051s] [ 72%] 2024-08-20T21:43:23.3345081Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int8 PASSED [0.0051s] [ 72%] 2024-08-20T21:43:23.3345684Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_uint8 PASSED [0.0052s] [ 72%] 2024-08-20T21:43:23.3346291Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_bfloat16 PASSED [0.0095s] [ 72%] 2024-08-20T21:43:23.3346921Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex128 PASSED [0.0098s] [ 72%] 2024-08-20T21:43:23.3347532Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex64 PASSED [0.0096s] [ 72%] 2024-08-20T21:43:23.3348117Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float16 PASSED [0.0102s] [ 72%] 2024-08-20T21:43:23.3348704Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float32 PASSED [0.0095s] [ 72%] 2024-08-20T21:43:23.3349306Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float64 PASSED [0.0097s] [ 72%] 2024-08-20T21:43:23.3349883Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int16 PASSED [0.0095s] [ 72%] 2024-08-20T21:43:23.3350462Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int32 PASSED [0.0097s] [ 72%] 2024-08-20T21:43:23.3351051Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int64 PASSED [0.0096s] [ 72%] 2024-08-20T21:43:23.3351625Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int8 PASSED [0.0095s] [ 72%] 2024-08-20T21:43:23.3352217Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_uint8 PASSED [0.0096s] [ 72%] 2024-08-20T21:43:23.3352819Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bfloat16 PASSED [0.0248s] [ 72%] 2024-08-20T21:43:23.3353397Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bool PASSED [0.0252s] [ 72%] 2024-08-20T21:43:23.3354056Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex128 PASSED [0.0249s] [ 72%] 2024-08-20T21:43:23.3354667Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex64 PASSED [0.0252s] [ 72%] 2024-08-20T21:43:23.3355278Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float16 PASSED [0.0247s] [ 72%] 2024-08-20T21:43:23.3355863Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float32 PASSED [0.0250s] [ 72%] 2024-08-20T21:43:23.3356443Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float64 PASSED [0.0247s] [ 72%] 2024-08-20T21:43:23.3357040Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int16 PASSED [0.0248s] [ 72%] 2024-08-20T21:43:23.3357653Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int32 PASSED [0.0246s] [ 72%] 2024-08-20T21:43:23.3358237Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int64 PASSED [0.0248s] [ 72%] 2024-08-20T21:43:23.3358825Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int8 PASSED [0.0251s] [ 72%] 2024-08-20T21:43:23.3359407Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_uint8 PASSED [0.0247s] [ 72%] 2024-08-20T21:43:23.3360016Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bfloat16 PASSED [0.0193s] [ 72%] 2024-08-20T21:43:23.3360616Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bool PASSED [0.0188s] [ 72%] 2024-08-20T21:43:23.3361225Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex128 PASSED [0.0198s] [ 72%] 2024-08-20T21:43:23.3361840Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex64 PASSED [0.0192s] [ 72%] 2024-08-20T21:43:23.3362426Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float16 PASSED [0.0191s] [ 72%] 2024-08-20T21:43:23.3363031Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float32 PASSED [0.0189s] [ 72%] 2024-08-20T21:43:23.3363647Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float64 PASSED [0.0189s] [ 72%] 2024-08-20T21:43:23.3364223Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int16 PASSED [0.0191s] [ 72%] 2024-08-20T21:43:23.3364809Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int32 PASSED [0.0189s] [ 72%] 2024-08-20T21:43:23.3365388Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int64 PASSED [0.0191s] [ 72%] 2024-08-20T21:43:23.3365959Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int8 PASSED [0.0190s] [ 73%] 2024-08-20T21:43:23.3366544Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_uint8 PASSED [0.0191s] [ 73%] 2024-08-20T21:43:23.3367144Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex128 PASSED [0.0296s] [ 73%] 2024-08-20T21:43:23.3367749Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex64 PASSED [0.0302s] [ 73%] 2024-08-20T21:43:23.3368327Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float32 PASSED [0.0294s] [ 73%] 2024-08-20T21:43:23.3368905Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float64 PASSED [0.0289s] [ 73%] 2024-08-20T21:43:23.3369535Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float32 PASSED [0.0349s] [ 73%] 2024-08-20T21:43:23.3370154Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float64 PASSED [0.0345s] [ 73%] 2024-08-20T21:43:23.3370785Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bfloat16 PASSED [0.0054s] [ 73%] 2024-08-20T21:43:23.3371412Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bool PASSED [0.0052s] [ 73%] 2024-08-20T21:43:23.3372025Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float16 PASSED [0.0053s] [ 73%] 2024-08-20T21:43:23.3372645Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float32 PASSED [0.0051s] [ 73%] 2024-08-20T21:43:23.3373248Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float64 PASSED [0.0053s] [ 73%] 2024-08-20T21:43:23.3373865Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int16 PASSED [0.0051s] [ 73%] 2024-08-20T21:43:23.3374457Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int32 PASSED [0.0051s] [ 73%] 2024-08-20T21:43:23.3375086Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int64 PASSED [0.0052s] [ 73%] 2024-08-20T21:43:23.3375702Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int8 PASSED [0.0051s] [ 73%] 2024-08-20T21:43:23.3376307Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_uint8 PASSED [0.0053s] [ 73%] 2024-08-20T21:43:23.3376938Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_bfloat16 PASSED [0.0082s] [ 73%] 2024-08-20T21:43:23.3377593Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex128 PASSED [0.0085s] [ 73%] 2024-08-20T21:43:23.3378264Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex32 PASSED [0.0083s] [ 73%] 2024-08-20T21:43:23.3378918Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex64 PASSED [0.0085s] [ 73%] 2024-08-20T21:43:23.3379540Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float16 PASSED [0.0082s] [ 73%] 2024-08-20T21:43:23.3380166Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float32 PASSED [0.0084s] [ 73%] 2024-08-20T21:43:23.3380800Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float64 PASSED [0.0082s] [ 73%] 2024-08-20T21:43:23.3381548Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_bfloat16 PASSED [0.0201s] [ 73%] 2024-08-20T21:43:23.3382175Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float16 PASSED [0.0201s] [ 73%] 2024-08-20T21:43:23.3382784Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float32 PASSED [0.0199s] [ 73%] 2024-08-20T21:43:23.3383388Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float64 PASSED [0.0201s] [ 73%] 2024-08-20T21:43:23.3384001Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int16 PASSED [0.0199s] [ 73%] 2024-08-20T21:43:23.3384594Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int32 PASSED [0.0201s] [ 73%] 2024-08-20T21:43:23.3385198Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int64 PASSED [0.0200s] [ 73%] 2024-08-20T21:43:23.3385794Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int8 PASSED [0.0198s] [ 73%] 2024-08-20T21:43:23.3386385Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_uint8 PASSED [0.0202s] [ 73%] 2024-08-20T21:43:23.3387049Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_bfloat16 PASSED [0.0117s] [ 73%] 2024-08-20T21:43:23.3387689Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float16 PASSED [0.0124s] [ 73%] 2024-08-20T21:43:23.3388590Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float32 PASSED [0.0117s] [ 73%] 2024-08-20T21:43:23.3389235Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float64 PASSED [0.0120s] [ 73%] 2024-08-20T21:43:23.3389869Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int16 PASSED [0.0117s] [ 73%] 2024-08-20T21:43:23.3390518Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int32 PASSED [0.0120s] [ 73%] 2024-08-20T21:43:23.3391148Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int64 PASSED [0.0117s] [ 73%] 2024-08-20T21:43:23.3391771Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int8 PASSED [0.0118s] [ 73%] 2024-08-20T21:43:23.3392457Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_uint8 PASSED [0.0119s] [ 73%] 2024-08-20T21:43:23.3393072Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_bfloat16 PASSED [0.0070s] [ 73%] 2024-08-20T21:43:23.3393704Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex128 PASSED [0.0071s] [ 73%] 2024-08-20T21:43:23.3394320Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex32 PASSED [0.0068s] [ 73%] 2024-08-20T21:43:23.3394926Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex64 PASSED [0.0071s] [ 73%] 2024-08-20T21:43:23.3395568Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float16 PASSED [0.0069s] [ 73%] 2024-08-20T21:43:23.3396167Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float32 PASSED [0.0070s] [ 73%] 2024-08-20T21:43:23.3396772Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float64 PASSED [0.0068s] [ 73%] 2024-08-20T21:43:23.3397413Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_bfloat16 PASSED [0.0082s] [ 73%] 2024-08-20T21:43:23.3398062Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex128 PASSED [0.0085s] [ 73%] 2024-08-20T21:43:23.3398759Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex32 PASSED [0.0082s] [ 73%] 2024-08-20T21:43:23.3399404Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex64 PASSED [0.0085s] [ 73%] 2024-08-20T21:43:23.3400044Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float16 PASSED [0.0082s] [ 73%] 2024-08-20T21:43:23.3400672Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float32 PASSED [0.0084s] [ 73%] 2024-08-20T21:43:23.3401303Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float64 PASSED [0.0082s] [ 73%] 2024-08-20T21:43:23.3401928Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bfloat16 PASSED [0.0068s] [ 73%] 2024-08-20T21:43:23.3402509Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bool PASSED [0.0062s] [ 73%] 2024-08-20T21:43:23.3403133Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex128 PASSED [0.0062s] [ 74%] 2024-08-20T21:43:23.3403761Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex32 PASSED [0.0063s] [ 74%] 2024-08-20T21:43:23.3404369Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex64 PASSED [0.0062s] [ 74%] 2024-08-20T21:43:23.3404978Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float16 PASSED [0.0063s] [ 74%] 2024-08-20T21:43:23.3405571Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float32 PASSED [0.0062s] [ 74%] 2024-08-20T21:43:23.3406192Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float64 PASSED [0.0064s] [ 74%] 2024-08-20T21:43:23.3406792Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int16 PASSED [0.0062s] [ 74%] 2024-08-20T21:43:23.3407385Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int32 PASSED [0.0063s] [ 74%] 2024-08-20T21:43:23.3407979Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int64 PASSED [0.0062s] [ 74%] 2024-08-20T21:43:23.3408564Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int8 PASSED [0.0064s] [ 74%] 2024-08-20T21:43:23.3409146Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_uint8 PASSED [0.0062s] [ 74%] 2024-08-20T21:43:23.3409789Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bfloat16 PASSED [0.0061s] [ 74%] 2024-08-20T21:43:23.3410373Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bool PASSED [0.0063s] [ 74%] 2024-08-20T21:43:23.3410995Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex128 PASSED [0.0062s] [ 74%] 2024-08-20T21:43:23.3411605Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex32 PASSED [0.0064s] [ 74%] 2024-08-20T21:43:23.3412204Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex64 PASSED [0.0062s] [ 74%] 2024-08-20T21:43:23.3412835Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float16 PASSED [0.0063s] [ 74%] 2024-08-20T21:43:23.3413429Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float32 PASSED [0.0061s] [ 74%] 2024-08-20T21:43:23.3414011Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float64 PASSED [0.0064s] [ 74%] 2024-08-20T21:43:23.3414613Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int16 PASSED [0.0061s] [ 74%] 2024-08-20T21:43:23.3415201Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int32 PASSED [0.0067s] [ 74%] 2024-08-20T21:43:23.3415827Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int64 PASSED [0.0061s] [ 74%] 2024-08-20T21:43:23.3416402Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int8 PASSED [0.0061s] [ 74%] 2024-08-20T21:43:23.3416982Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_uint8 PASSED [0.0062s] [ 74%] 2024-08-20T21:43:23.3417640Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bfloat16 PASSED [0.0062s] [ 74%] 2024-08-20T21:43:23.3418256Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bool PASSED [0.0063s] [ 74%] 2024-08-20T21:43:23.3418924Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex128 PASSED [0.0061s] [ 74%] 2024-08-20T21:43:23.3419570Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex64 PASSED [0.0064s] [ 74%] 2024-08-20T21:43:23.3420205Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float16 PASSED [0.0061s] [ 74%] 2024-08-20T21:43:23.3420853Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float32 PASSED [0.0063s] [ 74%] 2024-08-20T21:43:23.3421550Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float64 PASSED [0.0061s] [ 74%] 2024-08-20T21:43:23.3422188Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int16 PASSED [0.0063s] [ 74%] 2024-08-20T21:43:23.3422812Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int32 PASSED [0.0062s] [ 74%] 2024-08-20T21:43:23.3423469Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int64 PASSED [0.0061s] [ 74%] 2024-08-20T21:43:23.3424094Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int8 PASSED [0.0062s] [ 74%] 2024-08-20T21:43:23.3424715Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_uint8 PASSED [0.0061s] [ 74%] 2024-08-20T21:43:23.3425348Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_bfloat16 PASSED [0.0104s] [ 74%] 2024-08-20T21:43:23.3426178Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float16 PASSED [0.0100s] [ 74%] 2024-08-20T21:43:23.3426814Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float32 PASSED [0.0103s] [ 74%] 2024-08-20T21:43:23.3427521Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float64 PASSED [0.0100s] [ 74%] 2024-08-20T21:43:23.3428145Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int16 PASSED [0.0102s] [ 74%] 2024-08-20T21:43:23.3428756Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int32 PASSED [0.0100s] [ 74%] 2024-08-20T21:43:23.3429376Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int64 PASSED [0.0106s] [ 74%] 2024-08-20T21:43:23.3429984Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int8 PASSED [0.0100s] [ 74%] 2024-08-20T21:43:23.3430644Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_uint8 PASSED [0.0101s] [ 74%] 2024-08-20T21:43:23.3431253Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_bfloat16 PASSED [0.0068s] [ 74%] 2024-08-20T21:43:23.3431881Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex128 PASSED [0.0067s] [ 74%] 2024-08-20T21:43:23.3432518Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex64 PASSED [0.0069s] [ 74%] 2024-08-20T21:43:23.3433128Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float16 PASSED [0.0066s] [ 74%] 2024-08-20T21:43:23.3433784Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float32 PASSED [0.0069s] [ 74%] 2024-08-20T21:43:23.3434382Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float64 PASSED [0.0067s] [ 74%] 2024-08-20T21:43:23.3434999Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bfloat16 PASSED [0.0255s] [ 74%] 2024-08-20T21:43:23.3435602Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bool PASSED [0.0249s] [ 74%] 2024-08-20T21:43:23.3436230Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex128 PASSED [0.0255s] [ 74%] 2024-08-20T21:43:23.3436857Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex64 PASSED [0.0252s] [ 74%] 2024-08-20T21:43:23.3437471Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float16 PASSED [0.0251s] [ 74%] 2024-08-20T21:43:23.3438072Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float32 PASSED [0.0253s] [ 74%] 2024-08-20T21:43:23.3438684Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float64 PASSED [0.0250s] [ 74%] 2024-08-20T21:43:23.3439277Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int16 PASSED [0.0254s] [ 74%] 2024-08-20T21:43:23.3439864Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int32 PASSED [0.0250s] [ 74%] 2024-08-20T21:43:23.3440464Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int64 PASSED [0.0253s] [ 75%] 2024-08-20T21:43:23.3441087Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int8 PASSED [0.0251s] [ 75%] 2024-08-20T21:43:23.3441694Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_uint8 PASSED [0.0253s] [ 75%] 2024-08-20T21:43:23.3442373Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bfloat16 PASSED [0.0067s] [ 75%] 2024-08-20T21:43:23.3443031Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bool PASSED [0.0067s] [ 75%] 2024-08-20T21:43:23.3443735Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex128 PASSED [0.0069s] [ 75%] 2024-08-20T21:43:23.3444416Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex32 PASSED [0.0067s] [ 75%] 2024-08-20T21:43:23.3445144Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex64 PASSED [0.0069s] [ 75%] 2024-08-20T21:43:23.3445824Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float16 PASSED [0.0067s] [ 75%] 2024-08-20T21:43:23.3446496Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float32 PASSED [0.0068s] [ 75%] 2024-08-20T21:43:23.3447178Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float64 PASSED [0.0066s] [ 75%] 2024-08-20T21:43:23.3447835Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int16 PASSED [0.0068s] [ 75%] 2024-08-20T21:43:23.3448622Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int32 PASSED [0.0067s] [ 75%] 2024-08-20T21:43:23.3449297Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int64 PASSED [0.0068s] [ 75%] 2024-08-20T21:43:23.3449952Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int8 PASSED [0.0066s] [ 75%] 2024-08-20T21:43:23.3450613Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_uint8 PASSED [0.0066s] [ 75%] 2024-08-20T21:43:23.3451281Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bfloat16 PASSED [0.0069s] [ 75%] 2024-08-20T21:43:23.3451892Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bool PASSED [0.0067s] [ 75%] 2024-08-20T21:43:23.3452552Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex128 PASSED [0.0070s] [ 75%] 2024-08-20T21:43:23.3453195Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex32 PASSED [0.0068s] [ 75%] 2024-08-20T21:43:23.3453846Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex64 PASSED [0.0070s] [ 75%] 2024-08-20T21:43:23.3454477Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float16 PASSED [0.0068s] [ 75%] 2024-08-20T21:43:23.3455110Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float32 PASSED [0.0069s] [ 75%] 2024-08-20T21:43:23.3455750Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float64 PASSED [0.0067s] [ 75%] 2024-08-20T21:43:23.3456370Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int16 PASSED [0.0069s] [ 75%] 2024-08-20T21:43:23.3456999Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int32 PASSED [0.0067s] [ 75%] 2024-08-20T21:43:23.3457616Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int64 PASSED [0.0068s] [ 75%] 2024-08-20T21:43:23.3458223Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int8 PASSED [0.0069s] [ 75%] 2024-08-20T21:43:23.3458883Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_uint8 PASSED [0.0067s] [ 75%] 2024-08-20T21:43:23.3459501Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bfloat16 PASSED [0.0085s] [ 75%] 2024-08-20T21:43:23.3460112Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bool PASSED [0.0082s] [ 75%] 2024-08-20T21:43:23.3460737Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex128 PASSED [0.0086s] [ 75%] 2024-08-20T21:43:23.3461435Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex32 PASSED [0.0083s] [ 75%] 2024-08-20T21:43:23.3462081Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex64 PASSED [0.0085s] [ 75%] 2024-08-20T21:43:23.3462730Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float16 PASSED [0.0082s] [ 75%] 2024-08-20T21:43:23.3463346Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float32 PASSED [0.0084s] [ 75%] 2024-08-20T21:43:23.3463963Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float64 PASSED [0.0082s] [ 75%] 2024-08-20T21:43:23.3464571Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int16 PASSED [0.0082s] [ 75%] 2024-08-20T21:43:23.3465177Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int32 PASSED [0.0083s] [ 75%] 2024-08-20T21:43:23.3465798Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int64 PASSED [0.0082s] [ 75%] 2024-08-20T21:43:23.3466393Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int8 PASSED [0.0084s] [ 75%] 2024-08-20T21:43:23.3467003Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_uint8 PASSED [0.0082s] [ 75%] 2024-08-20T21:43:23.3467622Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bfloat16 PASSED [0.0064s] [ 75%] 2024-08-20T21:43:23.3468229Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bool PASSED [0.0061s] [ 75%] 2024-08-20T21:43:23.3468892Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex128 PASSED [0.0063s] [ 75%] 2024-08-20T21:43:23.3469515Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex64 PASSED [0.0062s] [ 75%] 2024-08-20T21:43:23.3470143Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float16 PASSED [0.0063s] [ 75%] 2024-08-20T21:43:23.3470746Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float32 PASSED [0.0061s] [ 75%] 2024-08-20T21:43:23.3471358Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float64 PASSED [0.0061s] [ 75%] 2024-08-20T21:43:23.3471959Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int16 PASSED [0.0063s] [ 75%] 2024-08-20T21:43:23.3472552Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int32 PASSED [0.0061s] [ 75%] 2024-08-20T21:43:23.3473154Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int64 PASSED [0.0064s] [ 75%] 2024-08-20T21:43:23.3473739Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int8 PASSED [0.0061s] [ 75%] 2024-08-20T21:43:23.3474333Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_uint8 PASSED [0.0064s] [ 75%] 2024-08-20T21:43:23.3474976Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bfloat16 PASSED [0.0062s] [ 75%] 2024-08-20T21:43:23.3475590Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bool PASSED [0.0064s] [ 75%] 2024-08-20T21:43:23.3476280Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex128 PASSED [0.0062s] [ 75%] 2024-08-20T21:43:23.3476920Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex64 PASSED [0.0064s] [ 75%] 2024-08-20T21:43:23.3477554Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float16 PASSED [0.0063s] [ 75%] 2024-08-20T21:43:23.3478191Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float32 PASSED [0.0062s] [ 76%] 2024-08-20T21:43:23.3478815Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float64 PASSED [0.0064s] [ 76%] 2024-08-20T21:43:23.3479439Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int16 PASSED [0.0062s] [ 76%] 2024-08-20T21:43:23.3480081Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int32 PASSED [0.0064s] [ 76%] 2024-08-20T21:43:23.3480693Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int64 PASSED [0.0061s] [ 76%] 2024-08-20T21:43:23.3481312Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int8 PASSED [0.0064s] [ 76%] 2024-08-20T21:43:23.3481931Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_uint8 PASSED [0.0062s] [ 76%] 2024-08-20T21:43:23.3482593Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bfloat16 PASSED [0.0058s] [ 76%] 2024-08-20T21:43:23.3483243Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bool PASSED [0.0056s] [ 76%] 2024-08-20T21:43:23.3483901Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex128 PASSED [0.0058s] [ 76%] 2024-08-20T21:43:23.3484573Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex64 PASSED [0.0056s] [ 76%] 2024-08-20T21:43:23.3485209Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float16 PASSED [0.0056s] [ 76%] 2024-08-20T21:43:23.3485885Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float32 PASSED [0.0058s] [ 76%] 2024-08-20T21:43:23.3486525Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float64 PASSED [0.0056s] [ 76%] 2024-08-20T21:43:23.3487154Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int16 PASSED [0.0058s] [ 76%] 2024-08-20T21:43:23.3487797Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int32 PASSED [0.0056s] [ 76%] 2024-08-20T21:43:23.3488623Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int64 PASSED [0.0058s] [ 76%] 2024-08-20T21:43:23.3489252Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int8 PASSED [0.0056s] [ 76%] 2024-08-20T21:43:23.3489899Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_uint8 PASSED [0.0058s] [ 76%] 2024-08-20T21:43:23.3490540Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bfloat16 PASSED [0.0056s] [ 76%] 2024-08-20T21:43:23.3491164Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bool PASSED [0.0057s] [ 76%] 2024-08-20T21:43:23.3491820Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex128 PASSED [0.0056s] [ 76%] 2024-08-20T21:43:23.3492466Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex32 PASSED [0.0057s] [ 76%] 2024-08-20T21:43:23.3493128Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex64 PASSED [0.0058s] [ 76%] 2024-08-20T21:43:23.3493805Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float16 PASSED [0.0056s] [ 76%] 2024-08-20T21:43:23.3494453Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float32 PASSED [0.0058s] [ 76%] 2024-08-20T21:43:23.3495089Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float64 PASSED [0.0056s] [ 76%] 2024-08-20T21:43:23.3495710Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int16 PASSED [0.0058s] [ 76%] 2024-08-20T21:43:23.3496344Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int32 PASSED [0.0056s] [ 76%] 2024-08-20T21:43:23.3496964Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int64 PASSED [0.0058s] [ 76%] 2024-08-20T21:43:23.3497624Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int8 PASSED [0.0056s] [ 76%] 2024-08-20T21:43:23.3498251Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_uint8 PASSED [0.0057s] [ 76%] 2024-08-20T21:43:23.3498851Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bfloat16 PASSED [0.0134s] [ 76%] 2024-08-20T21:43:23.3499447Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bool PASSED [0.0134s] [ 76%] 2024-08-20T21:43:23.3500056Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex128 PASSED [0.0139s] [ 76%] 2024-08-20T21:43:23.3500689Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex32 PASSED [0.0136s] [ 76%] 2024-08-20T21:43:23.3501377Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex64 PASSED [0.0139s] [ 76%] 2024-08-20T21:43:23.3501980Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float16 PASSED [0.0135s] [ 76%] 2024-08-20T21:43:23.3502584Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float32 PASSED [0.0136s] [ 76%] 2024-08-20T21:43:23.3503164Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float64 PASSED [0.0135s] [ 76%] 2024-08-20T21:43:23.3503784Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int16 PASSED [0.0135s] [ 76%] 2024-08-20T21:43:23.3504383Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int32 PASSED [0.0138s] [ 76%] 2024-08-20T21:43:23.3504964Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int64 PASSED [0.0135s] [ 76%] 2024-08-20T21:43:23.3505552Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int8 PASSED [0.0138s] [ 76%] 2024-08-20T21:43:23.3506135Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_uint8 PASSED [0.0134s] [ 76%] 2024-08-20T21:43:23.3506745Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bfloat16 PASSED [0.0223s] [ 76%] 2024-08-20T21:43:23.3507338Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bool PASSED [0.0221s] [ 76%] 2024-08-20T21:43:23.3507960Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex128 PASSED [0.0228s] [ 76%] 2024-08-20T21:43:23.3508585Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex64 PASSED [0.0228s] [ 76%] 2024-08-20T21:43:23.3509184Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float16 PASSED [0.0223s] [ 76%] 2024-08-20T21:43:23.3509776Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float32 PASSED [0.0225s] [ 76%] 2024-08-20T21:43:23.3510384Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float64 PASSED [0.0223s] [ 76%] 2024-08-20T21:43:23.3511003Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int16 PASSED [0.0225s] [ 76%] 2024-08-20T21:43:23.3511590Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int32 PASSED [0.0220s] [ 76%] 2024-08-20T21:43:23.3512190Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int64 PASSED [0.0227s] [ 76%] 2024-08-20T21:43:23.3512767Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int8 PASSED [0.0221s] [ 76%] 2024-08-20T21:43:23.3513367Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_uint8 PASSED [0.0222s] [ 76%] 2024-08-20T21:43:23.3513972Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_bfloat16 PASSED [0.0052s] [ 76%] 2024-08-20T21:43:23.3514610Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float16 PASSED [0.0050s] [ 76%] 2024-08-20T21:43:23.3515217Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float32 PASSED [0.0053s] [ 76%] 2024-08-20T21:43:23.3515805Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float64 PASSED [0.0051s] [ 77%] 2024-08-20T21:43:23.3516401Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int16 PASSED [0.0053s] [ 77%] 2024-08-20T21:43:23.3516984Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int32 PASSED [0.0051s] [ 77%] 2024-08-20T21:43:23.3517602Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int64 PASSED [0.0053s] [ 77%] 2024-08-20T21:43:23.3518204Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int8 PASSED [0.0051s] [ 77%] 2024-08-20T21:43:23.3518786Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_uint8 PASSED [0.0052s] [ 77%] 2024-08-20T21:43:23.3519473Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_bfloat16 PASSED [0.0061s] [ 77%] 2024-08-20T21:43:23.3520136Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float16 PASSED [0.0061s] [ 77%] 2024-08-20T21:43:23.3520846Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float32 PASSED [0.0063s] [ 77%] 2024-08-20T21:43:23.3521517Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float64 PASSED [0.0061s] [ 77%] 2024-08-20T21:43:23.3522183Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_bfloat16 PASSED [0.0063s] [ 77%] 2024-08-20T21:43:23.3522844Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float32 PASSED [0.0061s] [ 77%] 2024-08-20T21:43:23.3523525Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float64 PASSED [0.0063s] [ 77%] 2024-08-20T21:43:23.3524214Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_bfloat16 PASSED [0.0061s] [ 77%] 2024-08-20T21:43:23.3524909Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float32 PASSED [0.0063s] [ 77%] 2024-08-20T21:43:23.3525582Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float64 PASSED [0.0061s] [ 77%] 2024-08-20T21:43:23.3526395Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bfloat16 PASSED [0.0067s] [ 77%] 2024-08-20T21:43:23.3526998Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bool PASSED [0.0061s] [ 77%] 2024-08-20T21:43:23.3527622Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex128 PASSED [0.0062s] [ 77%] 2024-08-20T21:43:23.3528252Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex64 PASSED [0.0063s] [ 77%] 2024-08-20T21:43:23.3528920Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float16 PASSED [0.0061s] [ 77%] 2024-08-20T21:43:23.3529508Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float32 PASSED [0.0064s] [ 77%] 2024-08-20T21:43:23.3530119Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float64 PASSED [0.0061s] [ 77%] 2024-08-20T21:43:23.3530705Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int16 PASSED [0.0064s] [ 77%] 2024-08-20T21:43:23.3531307Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int32 PASSED [0.0061s] [ 77%] 2024-08-20T21:43:23.3531895Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int64 PASSED [0.0063s] [ 77%] 2024-08-20T21:43:23.3532513Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int8 PASSED [0.0061s] [ 77%] 2024-08-20T21:43:23.3533120Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_uint8 PASSED [0.0063s] [ 77%] 2024-08-20T21:43:23.3533724Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_bfloat16 PASSED [0.0106s] [ 77%] 2024-08-20T21:43:23.3534336Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex128 PASSED [0.0107s] [ 77%] 2024-08-20T21:43:23.3534956Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex64 PASSED [0.0110s] [ 77%] 2024-08-20T21:43:23.3535596Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float16 PASSED [0.0105s] [ 77%] 2024-08-20T21:43:23.3536204Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float32 PASSED [0.0108s] [ 77%] 2024-08-20T21:43:23.3536793Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float64 PASSED [0.0106s] [ 77%] 2024-08-20T21:43:23.3537373Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int16 PASSED [0.0107s] [ 77%] 2024-08-20T21:43:23.3537969Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int32 PASSED [0.0105s] [ 77%] 2024-08-20T21:43:23.3538595Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int64 PASSED [0.0107s] [ 77%] 2024-08-20T21:43:23.3539186Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int8 PASSED [0.0105s] [ 77%] 2024-08-20T21:43:23.3539771Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_uint8 PASSED [0.0105s] [ 77%] 2024-08-20T21:43:23.3540425Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bfloat16 PASSED [0.0064s] [ 77%] 2024-08-20T21:43:23.3541142Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bool PASSED [0.0062s] [ 77%] 2024-08-20T21:43:23.3541814Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex128 PASSED [0.0064s] [ 77%] 2024-08-20T21:43:23.3542487Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex32 PASSED [0.0062s] [ 77%] 2024-08-20T21:43:23.3543147Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex64 PASSED [0.0064s] [ 77%] 2024-08-20T21:43:23.3543796Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float16 PASSED [0.0062s] [ 77%] 2024-08-20T21:43:23.3544458Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float32 PASSED [0.0064s] [ 77%] 2024-08-20T21:43:23.3545099Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float64 PASSED [0.0062s] [ 77%] 2024-08-20T21:43:23.3545734Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int16 PASSED [0.0062s] [ 77%] 2024-08-20T21:43:23.3546421Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int32 PASSED [0.0063s] [ 77%] 2024-08-20T21:43:23.3547052Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int64 PASSED [0.0062s] [ 77%] 2024-08-20T21:43:23.3547699Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int8 PASSED [0.0063s] [ 77%] 2024-08-20T21:43:23.3548325Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_uint8 PASSED [0.0062s] [ 77%] 2024-08-20T21:43:23.3548969Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bfloat16 PASSED [0.0094s] [ 77%] 2024-08-20T21:43:23.3549625Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bool PASSED [0.0090s] [ 77%] 2024-08-20T21:43:23.3550281Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex128 PASSED [0.0093s] [ 77%] 2024-08-20T21:43:23.3550939Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex64 PASSED [0.0091s] [ 77%] 2024-08-20T21:43:23.3551573Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float16 PASSED [0.0092s] [ 77%] 2024-08-20T21:43:23.3552206Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float32 PASSED [0.0090s] [ 77%] 2024-08-20T21:43:23.3552883Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float64 PASSED [0.0090s] [ 77%] 2024-08-20T21:43:23.3553511Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int16 PASSED [0.0096s] [ 78%] 2024-08-20T21:43:23.3554149Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int32 PASSED [0.0090s] [ 78%] 2024-08-20T21:43:23.3554774Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int64 PASSED [0.0093s] [ 78%] 2024-08-20T21:43:23.3555387Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int8 PASSED [0.0090s] [ 78%] 2024-08-20T21:43:23.3556053Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_uint8 PASSED [0.0092s] [ 78%] 2024-08-20T21:43:23.3556668Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bfloat16 PASSED [0.0171s] [ 78%] 2024-08-20T21:43:23.3557281Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bool PASSED [0.0132s] [ 78%] 2024-08-20T21:43:23.3557915Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex128 PASSED [0.0131s] [ 78%] 2024-08-20T21:43:23.3558544Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex64 PASSED [0.0132s] [ 78%] 2024-08-20T21:43:23.3559175Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float16 PASSED [0.0173s] [ 78%] 2024-08-20T21:43:23.3559786Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float32 PASSED [0.0170s] [ 78%] 2024-08-20T21:43:23.3560388Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float64 PASSED [0.0173s] [ 78%] 2024-08-20T21:43:23.3561004Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int16 PASSED [0.0132s] [ 78%] 2024-08-20T21:43:23.3561606Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int32 PASSED [0.0133s] [ 78%] 2024-08-20T21:43:23.3562214Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int64 PASSED [0.0131s] [ 78%] 2024-08-20T21:43:23.3562813Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int8 PASSED [0.0133s] [ 78%] 2024-08-20T21:43:23.3563436Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_uint8 PASSED [0.0131s] [ 78%] 2024-08-20T21:43:23.3564138Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bfloat16 PASSED [0.0162s] [ 78%] 2024-08-20T21:43:23.3564807Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bool PASSED [0.0164s] [ 78%] 2024-08-20T21:43:23.3565506Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float16 PASSED [0.0162s] [ 78%] 2024-08-20T21:43:23.3566189Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float32 PASSED [0.0165s] [ 78%] 2024-08-20T21:43:23.3566865Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float64 PASSED [0.0162s] [ 78%] 2024-08-20T21:43:23.3567568Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int16 PASSED [0.0170s] [ 78%] 2024-08-20T21:43:23.3568241Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int32 PASSED [0.0163s] [ 78%] 2024-08-20T21:43:23.3568926Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int64 PASSED [0.0165s] [ 78%] 2024-08-20T21:43:23.3569594Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int8 PASSED [0.0162s] [ 78%] 2024-08-20T21:43:23.3570322Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_uint8 PASSED [0.0162s] [ 78%] 2024-08-20T21:43:23.3571027Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bfloat16 PASSED [0.0165s] [ 78%] 2024-08-20T21:43:23.3571689Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bool PASSED [0.0161s] [ 78%] 2024-08-20T21:43:23.3572387Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float16 PASSED [0.0165s] [ 78%] 2024-08-20T21:43:23.3573069Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float32 PASSED [0.0163s] [ 78%] 2024-08-20T21:43:23.3573779Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float64 PASSED [0.0165s] [ 78%] 2024-08-20T21:43:23.3574459Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int16 PASSED [0.0162s] [ 78%] 2024-08-20T21:43:23.3575130Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int32 PASSED [0.0164s] [ 78%] 2024-08-20T21:43:23.3575812Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int64 PASSED [0.0162s] [ 78%] 2024-08-20T21:43:23.3576478Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int8 PASSED [0.0162s] [ 78%] 2024-08-20T21:43:23.3577148Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_uint8 PASSED [0.0164s] [ 78%] 2024-08-20T21:43:23.3577859Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_bfloat16 PASSED [0.0162s] [ 78%] 2024-08-20T21:43:23.3578540Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float16 PASSED [0.0164s] [ 78%] 2024-08-20T21:43:23.3579223Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float32 PASSED [0.0162s] [ 78%] 2024-08-20T21:43:23.3579916Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float64 PASSED [0.0164s] [ 78%] 2024-08-20T21:43:23.3580583Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int16 PASSED [0.0162s] [ 78%] 2024-08-20T21:43:23.3581391Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int32 PASSED [0.0163s] [ 78%] 2024-08-20T21:43:23.3582065Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int64 PASSED [0.0160s] [ 78%] 2024-08-20T21:43:23.3582729Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int8 PASSED [0.0162s] [ 78%] 2024-08-20T21:43:23.3583407Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_uint8 PASSED [0.0165s] [ 78%] 2024-08-20T21:43:23.3584100Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bfloat16 PASSED [0.0162s] [ 78%] 2024-08-20T21:43:23.3584782Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bool PASSED [0.0164s] [ 78%] 2024-08-20T21:43:23.3585491Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float16 PASSED [0.0162s] [ 78%] 2024-08-20T21:43:23.3586175Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float32 PASSED [0.0164s] [ 78%] 2024-08-20T21:43:23.3586864Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float64 PASSED [0.0162s] [ 78%] 2024-08-20T21:43:23.3587533Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int16 PASSED [0.0164s] [ 78%] 2024-08-20T21:43:23.3588436Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int32 PASSED [0.0162s] [ 78%] 2024-08-20T21:43:23.3589119Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int64 PASSED [0.0161s] [ 78%] 2024-08-20T21:43:23.3589784Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int8 PASSED [0.0165s] [ 78%] 2024-08-20T21:43:23.3590469Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_uint8 PASSED [0.0162s] [ 78%] 2024-08-20T21:43:23.3591152Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bfloat16 PASSED [0.0165s] [ 78%] 2024-08-20T21:43:23.3591852Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bool PASSED [0.0161s] [ 78%] 2024-08-20T21:43:23.3592525Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float16 PASSED [0.0165s] [ 78%] 2024-08-20T21:43:23.3593205Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float32 PASSED [0.0163s] [ 78%] 2024-08-20T21:43:23.3593892Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float64 PASSED [0.0166s] [ 79%] 2024-08-20T21:43:23.3594555Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int16 PASSED [0.0162s] [ 79%] 2024-08-20T21:43:23.3595236Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int32 PASSED [0.0163s] [ 79%] 2024-08-20T21:43:23.3595894Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int64 PASSED [0.0165s] [ 79%] 2024-08-20T21:43:23.3596547Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int8 PASSED [0.0163s] [ 79%] 2024-08-20T21:43:23.3597217Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_uint8 PASSED [0.0171s] [ 79%] 2024-08-20T21:43:23.3597870Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_bfloat16 PASSED [0.1528s] [ 79%] 2024-08-20T21:43:23.3598535Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float16 PASSED [0.1530s] [ 79%] 2024-08-20T21:43:23.3599209Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float32 PASSED [0.1507s] [ 79%] 2024-08-20T21:43:23.3599848Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float64 PASSED [0.1515s] [ 79%] 2024-08-20T21:43:23.3600496Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int16 PASSED [0.1511s] [ 79%] 2024-08-20T21:43:23.3601134Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int32 PASSED [0.1515s] [ 79%] 2024-08-20T21:43:23.3601764Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int64 PASSED [0.1527s] [ 79%] 2024-08-20T21:43:23.3602406Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int8 PASSED [0.1517s] [ 79%] 2024-08-20T21:43:23.3603063Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_uint8 PASSED [0.1524s] [ 79%] 2024-08-20T21:43:23.3603696Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bfloat16 PASSED [0.0073s] [ 79%] 2024-08-20T21:43:23.3604286Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bool PASSED [0.0074s] [ 79%] 2024-08-20T21:43:23.3604918Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex128 PASSED [0.0073s] [ 79%] 2024-08-20T21:43:23.3605551Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex32 PASSED [0.0074s] [ 79%] 2024-08-20T21:43:23.3606192Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex64 PASSED [0.0073s] [ 79%] 2024-08-20T21:43:23.3606810Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float16 PASSED [0.0071s] [ 79%] 2024-08-20T21:43:23.3607414Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float32 PASSED [0.0073s] [ 79%] 2024-08-20T21:43:23.3608017Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float64 PASSED [0.0072s] [ 79%] 2024-08-20T21:43:23.3608625Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int16 PASSED [0.0074s] [ 79%] 2024-08-20T21:43:23.3609245Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int32 PASSED [0.0072s] [ 79%] 2024-08-20T21:43:23.3609845Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int64 PASSED [0.0074s] [ 79%] 2024-08-20T21:43:23.3610434Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int8 PASSED [0.0071s] [ 79%] 2024-08-20T21:43:23.3611023Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_uint8 PASSED [0.0078s] [ 79%] 2024-08-20T21:43:23.3611697Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bfloat16 PASSED [0.0073s] [ 79%] 2024-08-20T21:43:23.3612337Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bool PASSED [0.0074s] [ 79%] 2024-08-20T21:43:23.3612988Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float16 PASSED [0.0073s] [ 79%] 2024-08-20T21:43:23.3613659Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float32 PASSED [0.0073s] [ 79%] 2024-08-20T21:43:23.3614306Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float64 PASSED [0.0074s] [ 79%] 2024-08-20T21:43:23.3614962Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int16 PASSED [0.0072s] [ 79%] 2024-08-20T21:43:23.3615603Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int32 PASSED [0.0075s] [ 79%] 2024-08-20T21:43:23.3616241Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int64 PASSED [0.0073s] [ 79%] 2024-08-20T21:43:23.3616928Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int8 PASSED [0.0075s] [ 79%] 2024-08-20T21:43:23.3617569Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_uint8 PASSED [0.0072s] [ 79%] 2024-08-20T21:43:23.3618175Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bfloat16 PASSED [0.0053s] [ 79%] 2024-08-20T21:43:23.3618748Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bool PASSED [0.0052s] [ 79%] 2024-08-20T21:43:23.3619354Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex128 PASSED [0.0053s] [ 79%] 2024-08-20T21:43:23.3619970Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex32 PASSED [0.0051s] [ 79%] 2024-08-20T21:43:23.3620597Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex64 PASSED [0.0051s] [ 79%] 2024-08-20T21:43:23.3621285Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float16 PASSED [0.0052s] [ 79%] 2024-08-20T21:43:23.3621878Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float32 PASSED [0.0051s] [ 79%] 2024-08-20T21:43:23.3622466Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float64 PASSED [0.0053s] [ 79%] 2024-08-20T21:43:23.3623059Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int16 PASSED [0.0051s] [ 79%] 2024-08-20T21:43:23.3623669Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int32 PASSED [0.0053s] [ 79%] 2024-08-20T21:43:23.3624245Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int64 PASSED [0.0051s] [ 79%] 2024-08-20T21:43:23.3624831Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int8 PASSED [0.0056s] [ 79%] 2024-08-20T21:43:23.3625411Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_uint8 PASSED [0.0051s] [ 79%] 2024-08-20T21:43:23.3626219Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bfloat16 PASSED [0.0074s] [ 79%] 2024-08-20T21:43:23.3626880Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bool PASSED [0.0071s] [ 79%] 2024-08-20T21:43:23.3627494Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex128 PASSED [0.0072s] [ 79%] 2024-08-20T21:43:23.3628121Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex64 PASSED [0.0074s] [ 79%] 2024-08-20T21:43:23.3628719Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float16 PASSED [0.0072s] [ 79%] 2024-08-20T21:43:23.3629327Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float32 PASSED [0.0074s] [ 79%] 2024-08-20T21:43:23.3629922Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float64 PASSED [0.0072s] [ 79%] 2024-08-20T21:43:23.3630509Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int16 PASSED [0.0074s] [ 79%] 2024-08-20T21:43:23.3631111Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int32 PASSED [0.0072s] [ 80%] 2024-08-20T21:43:23.3631694Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int64 PASSED [0.0074s] [ 80%] 2024-08-20T21:43:23.3632286Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int8 PASSED [0.0072s] [ 80%] 2024-08-20T21:43:23.3632869Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_uint8 PASSED [0.0073s] [ 80%] 2024-08-20T21:43:23.3633491Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bfloat16 PASSED [0.0061s] [ 80%] 2024-08-20T21:43:23.3634149Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bool PASSED [0.0063s] [ 80%] 2024-08-20T21:43:23.3634783Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex128 PASSED [0.0063s] [ 80%] 2024-08-20T21:43:23.3635408Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex64 PASSED [0.0064s] [ 80%] 2024-08-20T21:43:23.3636035Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float16 PASSED [0.0063s] [ 80%] 2024-08-20T21:43:23.3636644Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float32 PASSED [0.0061s] [ 80%] 2024-08-20T21:43:23.3637256Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float64 PASSED [0.0063s] [ 80%] 2024-08-20T21:43:23.3637893Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int16 PASSED [0.0061s] [ 80%] 2024-08-20T21:43:23.3638494Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int32 PASSED [0.0067s] [ 80%] 2024-08-20T21:43:23.3639102Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int64 PASSED [0.0061s] [ 80%] 2024-08-20T21:43:23.3639699Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int8 PASSED [0.0063s] [ 80%] 2024-08-20T21:43:23.3640304Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_uint8 PASSED [0.0061s] [ 80%] 2024-08-20T21:43:23.3640927Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bfloat16 PASSED [0.0051s] [ 80%] 2024-08-20T21:43:23.3641507Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bool PASSED [0.0052s] [ 80%] 2024-08-20T21:43:23.3642119Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float16 PASSED [0.0051s] [ 80%] 2024-08-20T21:43:23.3642709Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float32 PASSED [0.0053s] [ 80%] 2024-08-20T21:43:23.3643307Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float64 PASSED [0.0051s] [ 80%] 2024-08-20T21:43:23.3643934Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int16 PASSED [0.0053s] [ 80%] 2024-08-20T21:43:23.3644516Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int32 PASSED [0.0051s] [ 80%] 2024-08-20T21:43:23.3645112Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int64 PASSED [0.0053s] [ 80%] 2024-08-20T21:43:23.3645686Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int8 PASSED [0.0051s] [ 80%] 2024-08-20T21:43:23.3646265Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_uint8 PASSED [0.0052s] [ 80%] 2024-08-20T21:43:23.3646988Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float32 PASSED [0.0136s] [ 80%] 2024-08-20T21:43:23.3647687Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float64 PASSED [0.0130s] [ 80%] 2024-08-20T21:43:23.3648400Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float32 PASSED [0.0169s] [ 80%] 2024-08-20T21:43:23.3649098Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float64 PASSED [0.0166s] [ 80%] 2024-08-20T21:43:23.3649798Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float32 PASSED [0.0122s] [ 80%] 2024-08-20T21:43:23.3650498Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float64 PASSED [0.0124s] [ 80%] 2024-08-20T21:43:23.3651225Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float32 PASSED [0.0139s] [ 80%] 2024-08-20T21:43:23.3651992Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float64 PASSED [0.0134s] [ 80%] 2024-08-20T21:43:23.3652701Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float32 PASSED [0.0145s] [ 80%] 2024-08-20T21:43:23.3653405Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float64 PASSED [0.0145s] [ 80%] 2024-08-20T21:43:23.3654156Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float32 PASSED [0.0165s] [ 80%] 2024-08-20T21:43:23.3654896Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float64 PASSED [0.0167s] [ 80%] 2024-08-20T21:43:23.3655681Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float32 PASSED [0.0166s] [ 80%] 2024-08-20T21:43:23.3656433Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float64 PASSED [0.0164s] [ 80%] 2024-08-20T21:43:23.3657132Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float32 PASSED [0.0166s] [ 80%] 2024-08-20T21:43:23.3657839Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float64 PASSED [0.0166s] [ 80%] 2024-08-20T21:43:23.3658548Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float32 PASSED [0.0164s] [ 80%] 2024-08-20T21:43:23.3659242Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float64 PASSED [0.0166s] [ 80%] 2024-08-20T21:43:23.3659938Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float32 PASSED [0.0202s] [ 80%] 2024-08-20T21:43:23.3660628Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float64 PASSED [0.0198s] [ 80%] 2024-08-20T21:43:23.3661426Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float32 PASSED [0.0164s] [ 80%] 2024-08-20T21:43:23.3662160Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float64 PASSED [0.0166s] [ 80%] 2024-08-20T21:43:23.3662796Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bfloat16 PASSED [0.0053s] [ 80%] 2024-08-20T21:43:23.3663395Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bool PASSED [0.0051s] [ 80%] 2024-08-20T21:43:23.3664012Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float16 PASSED [0.0054s] [ 80%] 2024-08-20T21:43:23.3664633Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float32 PASSED [0.0051s] [ 80%] 2024-08-20T21:43:23.3665235Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float64 PASSED [0.0053s] [ 80%] 2024-08-20T21:43:23.3665851Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int16 PASSED [0.0051s] [ 80%] 2024-08-20T21:43:23.3666446Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int32 PASSED [0.0053s] [ 80%] 2024-08-20T21:43:23.3667036Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int64 PASSED [0.0051s] [ 80%] 2024-08-20T21:43:23.3667643Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int8 PASSED [0.0053s] [ 80%] 2024-08-20T21:43:23.3668237Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_uint8 PASSED [0.0051s] [ 80%] 2024-08-20T21:43:23.3668827Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bfloat16 PASSED [0.0051s] [ 80%] 2024-08-20T21:43:23.3669440Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bool PASSED [0.0052s] [ 80%] 2024-08-20T21:43:23.3670045Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex128 PASSED [0.0051s] [ 81%] 2024-08-20T21:43:23.3670659Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex64 PASSED [0.0053s] [ 81%] 2024-08-20T21:43:23.3671243Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float16 PASSED [0.0051s] [ 81%] 2024-08-20T21:43:23.3671832Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float32 PASSED [0.0053s] [ 81%] 2024-08-20T21:43:23.3672431Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float64 PASSED [0.0051s] [ 81%] 2024-08-20T21:43:23.3673035Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int16 PASSED [0.0053s] [ 81%] 2024-08-20T21:43:23.3673632Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int32 PASSED [0.0051s] [ 81%] 2024-08-20T21:43:23.3674205Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int64 PASSED [0.0052s] [ 81%] 2024-08-20T21:43:23.3674777Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int8 PASSED [0.0051s] [ 81%] 2024-08-20T21:43:23.3675367Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_uint8 PASSED [0.0051s] [ 81%] 2024-08-20T21:43:23.3675994Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bfloat16 PASSED [0.0063s] [ 81%] 2024-08-20T21:43:23.3676572Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bool PASSED [0.0061s] [ 81%] 2024-08-20T21:43:23.3677203Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex128 PASSED [0.0067s] [ 81%] 2024-08-20T21:43:23.3677812Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex64 PASSED [0.0061s] [ 81%] 2024-08-20T21:43:23.3678412Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float16 PASSED [0.0063s] [ 81%] 2024-08-20T21:43:23.3679028Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float32 PASSED [0.0061s] [ 81%] 2024-08-20T21:43:23.3679611Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float64 PASSED [0.0063s] [ 81%] 2024-08-20T21:43:23.3680209Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int16 PASSED [0.0061s] [ 81%] 2024-08-20T21:43:23.3680793Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int32 PASSED [0.0063s] [ 81%] 2024-08-20T21:43:23.3681392Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int64 PASSED [0.0061s] [ 81%] 2024-08-20T21:43:23.3681970Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int8 PASSED [0.0062s] [ 81%] 2024-08-20T21:43:23.3682551Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_uint8 PASSED [0.0063s] [ 81%] 2024-08-20T21:43:23.3683168Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bfloat16 PASSED [0.0051s] [ 81%] 2024-08-20T21:43:23.3683741Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bool PASSED [0.0053s] [ 81%] 2024-08-20T21:43:23.3684369Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex128 PASSED [0.0051s] [ 81%] 2024-08-20T21:43:23.3684976Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex64 PASSED [0.0053s] [ 81%] 2024-08-20T21:43:23.3685567Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float16 PASSED [0.0051s] [ 81%] 2024-08-20T21:43:23.3686199Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float32 PASSED [0.0053s] [ 81%] 2024-08-20T21:43:23.3686781Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float64 PASSED [0.0051s] [ 81%] 2024-08-20T21:43:23.3687359Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int16 PASSED [0.0053s] [ 81%] 2024-08-20T21:43:23.3687956Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int32 PASSED [0.0051s] [ 81%] 2024-08-20T21:43:23.3688711Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int64 PASSED [0.0051s] [ 81%] 2024-08-20T21:43:23.3689310Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int8 PASSED [0.0052s] [ 81%] 2024-08-20T21:43:23.3689889Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_uint8 PASSED [0.0051s] [ 81%] 2024-08-20T21:43:23.3690531Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bfloat16 PASSED [0.0077s] [ 81%] 2024-08-20T21:43:23.3691132Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bool PASSED [0.0074s] [ 81%] 2024-08-20T21:43:23.3691749Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex128 PASSED [0.0085s] [ 81%] 2024-08-20T21:43:23.3692386Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex32 PASSED [0.0076s] [ 81%] 2024-08-20T21:43:23.3692990Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex64 PASSED [0.0076s] [ 81%] 2024-08-20T21:43:23.3693622Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float16 PASSED [0.0072s] [ 81%] 2024-08-20T21:43:23.3694231Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float32 PASSED [0.0071s] [ 81%] 2024-08-20T21:43:23.3694828Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float64 PASSED [0.0073s] [ 81%] 2024-08-20T21:43:23.3695414Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int16 PASSED [0.0074s] [ 81%] 2024-08-20T21:43:23.3696011Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int32 PASSED [0.0076s] [ 81%] 2024-08-20T21:43:23.3696630Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int64 PASSED [0.0072s] [ 81%] 2024-08-20T21:43:23.3697225Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int8 PASSED [0.0076s] [ 81%] 2024-08-20T21:43:23.3697813Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_uint8 PASSED [0.0074s] [ 81%] 2024-08-20T21:43:23.3698468Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bfloat16 PASSED [0.0104s] [ 81%] 2024-08-20T21:43:23.3699114Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bool PASSED [0.0106s] [ 81%] 2024-08-20T21:43:23.3699766Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float16 PASSED [0.0103s] [ 81%] 2024-08-20T21:43:23.3700428Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float32 PASSED [0.0099s] [ 81%] 2024-08-20T21:43:23.3701167Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float64 PASSED [0.0103s] [ 81%] 2024-08-20T21:43:23.3701819Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int16 PASSED [0.0107s] [ 81%] 2024-08-20T21:43:23.3702472Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int32 PASSED [0.0106s] [ 81%] 2024-08-20T21:43:23.3703108Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int64 PASSED [0.0103s] [ 81%] 2024-08-20T21:43:23.3703789Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int8 PASSED [0.0105s] [ 81%] 2024-08-20T21:43:23.3704423Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_uint8 PASSED [0.0112s] [ 81%] 2024-08-20T21:43:23.3705039Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_bfloat16 PASSED [0.0082s] [ 81%] 2024-08-20T21:43:23.3705665Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float16 PASSED [0.0084s] [ 81%] 2024-08-20T21:43:23.3706272Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float32 PASSED [0.0082s] [ 82%] 2024-08-20T21:43:23.3706888Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float64 PASSED [0.0083s] [ 82%] 2024-08-20T21:43:23.3707596Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bfloat16 PASSED [0.0082s] [ 82%] 2024-08-20T21:43:23.3708260Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bool PASSED [0.0081s] [ 82%] 2024-08-20T21:43:23.3708973Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex128 PASSED [0.0083s] [ 82%] 2024-08-20T21:43:23.3709661Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex64 PASSED [0.0083s] [ 82%] 2024-08-20T21:43:23.3710336Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float16 PASSED [0.0084s] [ 82%] 2024-08-20T21:43:23.3711065Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float32 PASSED [0.0081s] [ 82%] 2024-08-20T21:43:23.3711740Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float64 PASSED [0.0086s] [ 82%] 2024-08-20T21:43:23.3712418Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int16 PASSED [0.0081s] [ 82%] 2024-08-20T21:43:23.3713083Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int32 PASSED [0.0083s] [ 82%] 2024-08-20T21:43:23.3713743Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int64 PASSED [0.0082s] [ 82%] 2024-08-20T21:43:23.3714440Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int8 PASSED [0.0083s] [ 82%] 2024-08-20T21:43:23.3715096Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_uint8 PASSED [0.0082s] [ 82%] 2024-08-20T21:43:23.3715711Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bfloat16 PASSED [0.0351s] [ 82%] 2024-08-20T21:43:23.3716286Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bool PASSED [0.0355s] [ 82%] 2024-08-20T21:43:23.3716881Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float16 PASSED [0.0351s] [ 82%] 2024-08-20T21:43:23.3717483Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float32 PASSED [0.0355s] [ 82%] 2024-08-20T21:43:23.3718067Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float64 PASSED [0.0352s] [ 82%] 2024-08-20T21:43:23.3718660Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int16 PASSED [0.0362s] [ 82%] 2024-08-20T21:43:23.3719238Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int32 PASSED [0.0351s] [ 82%] 2024-08-20T21:43:23.3719820Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int64 PASSED [0.0346s] [ 82%] 2024-08-20T21:43:23.3720407Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int8 PASSED [0.0350s] [ 82%] 2024-08-20T21:43:23.3720989Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_uint8 PASSED [0.0352s] [ 82%] 2024-08-20T21:43:23.3723769Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_bfloat16 SKIPPED [0.0005s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/132494 for platform(s) asan, linux, mac, macos, win, windows. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 82%] 2024-08-20T21:43:23.3726692Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float16 SKIPPED [0.0005s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/133827 for platform(s) asan, linux, mac, macos, win, windows. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 82%] 2024-08-20T21:43:23.3729398Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float32 SKIPPED [0.0006s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/132552 for platform(s) asan, linux, mac, macos, win, windows. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 82%] 2024-08-20T21:43:23.3732120Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float64 SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/132619 for platform(s) asan, linux, mac, macos, win, windows. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 82%] 2024-08-20T21:43:23.3734733Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex128 SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/132643 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 82%] 2024-08-20T21:43:23.3737337Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex64 SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/132686 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 82%] 2024-08-20T21:43:23.3739922Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float32 SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/132720 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 82%] 2024-08-20T21:43:23.3740687Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float64 ('RERUN', {'yellow': True}) [0.0069s] [ 82%] 2024-08-20T21:43:23.3741522Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float64 ('RERUN', {'yellow': True}) [0.0066s] [ 82%] 2024-08-20T21:43:23.3742219Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float64 FAILED [0.0067s] [ 82%] 2024-08-20T21:43:23.3742231Z 2024-08-20T21:43:23.3742432Z ==================================== RERUNS ==================================== 2024-08-20T21:43:23.3742929Z ___ TestDeviceUtilsCPU.test_device_mode_ops_sparse_sampled_addmm_cpu_float64 ___ 2024-08-20T21:43:23.3743109Z Traceback (most recent call last): 2024-08-20T21:43:23.3743537Z File "/var/lib/jenkins/workspace/test/test_utils.py", line 1164, in test_device_mode_ops 2024-08-20T21:43:23.3743654Z for sample in samples: 2024-08-20T21:43:23.3744379Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py", line 388, in __next__ 2024-08-20T21:43:23.3744560Z input_idx, input_val = next(self.child_iter) 2024-08-20T21:43:23.3744687Z ^^^^^^^^^^^^^^^^^^^^^ 2024-08-20T21:43:23.3745385Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 36, in generator_context 2024-08-20T21:43:23.3745508Z response = gen.send(None) 2024-08-20T21:43:23.3745609Z ^^^^^^^^^^^^^^ 2024-08-20T21:43:23.3746626Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_methods_invocations.py", line 1213, in sample_inputs_sparse_sampled_addmm 2024-08-20T21:43:23.3746735Z .to_sparse_csr() 2024-08-20T21:43:23.3746830Z ^^^^^^^^^^^^^^^ 2024-08-20T21:43:23.3747351Z RuntimeError: Please register PrivateUse1HooksInterface by `RegisterPrivateUse1HooksInterface` first. 2024-08-20T21:43:23.3747360Z 2024-08-20T21:43:23.3747615Z To execute this test, run the following from the base repo dir: 2024-08-20T21:43:23.3748076Z python test/test_utils.py TestDeviceUtilsCPU.test_device_mode_ops_sparse_sampled_addmm_cpu_float64 2024-08-20T21:43:23.3748094Z 2024-08-20T21:43:23.3748415Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2024-08-20T21:43:23.3748930Z ___ TestDeviceUtilsCPU.test_device_mode_ops_sparse_sampled_addmm_cpu_float64 ___ 2024-08-20T21:43:23.3749082Z Traceback (most recent call last): 2024-08-20T21:43:23.3749496Z File "/var/lib/jenkins/workspace/test/test_utils.py", line 1164, in test_device_mode_ops 2024-08-20T21:43:23.3749616Z for sample in samples: 2024-08-20T21:43:23.3750349Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py", line 388, in __next__ 2024-08-20T21:43:23.3750515Z input_idx, input_val = next(self.child_iter) 2024-08-20T21:43:23.3750641Z ^^^^^^^^^^^^^^^^^^^^^ 2024-08-20T21:43:23.3751367Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 36, in generator_context 2024-08-20T21:43:23.3751488Z response = gen.send(None) 2024-08-20T21:43:23.3751601Z ^^^^^^^^^^^^^^ 2024-08-20T21:43:23.3752574Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_methods_invocations.py", line 1213, in sample_inputs_sparse_sampled_addmm 2024-08-20T21:43:23.3752681Z .to_sparse_csr() 2024-08-20T21:43:23.3752788Z ^^^^^^^^^^^^^^^ 2024-08-20T21:43:23.3753298Z RuntimeError: Please register PrivateUse1HooksInterface by `RegisterPrivateUse1HooksInterface` first. 2024-08-20T21:43:23.3753307Z 2024-08-20T21:43:23.3753563Z To execute this test, run the following from the base repo dir: 2024-08-20T21:43:23.3754038Z python test/test_utils.py TestDeviceUtilsCPU.test_device_mode_ops_sparse_sampled_addmm_cpu_float64 2024-08-20T21:43:23.3754043Z 2024-08-20T21:43:23.3754366Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2024-08-20T21:43:23.3754561Z =================================== FAILURES =================================== 2024-08-20T21:43:23.3755043Z ___ TestDeviceUtilsCPU.test_device_mode_ops_sparse_sampled_addmm_cpu_float64 ___ 2024-08-20T21:43:23.3755174Z Traceback (most recent call last): 2024-08-20T21:43:23.3755598Z File "/var/lib/jenkins/workspace/test/test_utils.py", line 1164, in test_device_mode_ops 2024-08-20T21:43:23.3755715Z for sample in samples: 2024-08-20T21:43:23.3756438Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py", line 388, in __next__ 2024-08-20T21:43:23.3756651Z input_idx, input_val = next(self.child_iter) 2024-08-20T21:43:23.3756777Z ^^^^^^^^^^^^^^^^^^^^^ 2024-08-20T21:43:23.3757473Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 36, in generator_context 2024-08-20T21:43:23.3757597Z response = gen.send(None) 2024-08-20T21:43:23.3757696Z ^^^^^^^^^^^^^^ 2024-08-20T21:43:23.3758679Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_methods_invocations.py", line 1213, in sample_inputs_sparse_sampled_addmm 2024-08-20T21:43:23.3758785Z .to_sparse_csr() 2024-08-20T21:43:23.3758881Z ^^^^^^^^^^^^^^^ 2024-08-20T21:43:23.3759403Z RuntimeError: Please register PrivateUse1HooksInterface by `RegisterPrivateUse1HooksInterface` first. 2024-08-20T21:43:23.3759410Z 2024-08-20T21:43:23.3759668Z To execute this test, run the following from the base repo dir: 2024-08-20T21:43:23.3760152Z python test/test_utils.py TestDeviceUtilsCPU.test_device_mode_ops_sparse_sampled_addmm_cpu_float64 2024-08-20T21:43:23.3760174Z 2024-08-20T21:43:23.3760498Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2024-08-20T21:43:23.3761260Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-a10e3c1dbfd586d3.xml - 2024-08-20T21:43:23.3761622Z =========================== short test summary info ============================ 2024-08-20T21:43:23.3763256Z FAILED [0.0067s] test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float64 - RuntimeError: Please register PrivateUse1HooksInterface by `RegisterPrivateUse1HooksInterface` first. 2024-08-20T21:43:23.3763265Z 2024-08-20T21:43:23.3763539Z To execute this test, run the following from the base repo dir: 2024-08-20T21:43:23.3764003Z python test/test_utils.py TestDeviceUtilsCPU.test_device_mode_ops_sparse_sampled_addmm_cpu_float64 2024-08-20T21:43:23.3764011Z 2024-08-20T21:43:23.3764333Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2024-08-20T21:43:23.3764688Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2024-08-20T21:43:23.3765348Z ======== 1 failed, 4825 passed, 82 skipped, 2 rerun in 98.57s (0:01:38) ======== 2024-08-20T21:43:23.3765480Z Got exit code 1 2024-08-20T21:43:23.3765612Z Retrying single test... 2024-08-20T21:43:23.3766178Z Test results will be stored in test-reports/python-pytest/test_utils/test_utils-750ab287884de3a9.xml 2024-08-20T21:43:23.3766506Z ============================= test session starts ============================== 2024-08-20T21:43:23.3767022Z platform linux -- Python 3.12.4, pytest-7.3.2, pluggy-1.5.0 -- /opt/conda/envs/py_3.12/bin/python 2024-08-20T21:43:23.3767136Z cachedir: .pytest_cache 2024-08-20T21:43:23.3767853Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2024-08-20T21:43:23.3767991Z rootdir: /var/lib/jenkins/workspace 2024-08-20T21:43:23.3768104Z configfile: pytest.ini 2024-08-20T21:43:23.3768804Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, xdist-3.3.1, xdoctest-1.1.0, typeguard-4.3.0 2024-08-20T21:43:23.3769166Z collecting ... collected 5947 items / 5946 deselected / 1 selected 2024-08-20T21:43:23.3769909Z stepcurrent: skipping 4907 already run items. Running only test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float64 2024-08-20T21:43:23.3770044Z Running 1 items in this shard 2024-08-20T21:43:23.3770049Z 2024-08-20T21:43:23.3770751Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float64 PASSED [0.0537s] [100%] 2024-08-20T21:43:23.3770757Z 2024-08-20T21:43:23.3771526Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-750ab287884de3a9.xml - 2024-08-20T21:43:23.3772079Z ====================== 1 passed, 5946 deselected in 0.31s ====================== 2024-08-20T21:43:23.3772184Z Got exit code 0 2024-08-20T21:43:23.3772493Z Test succeeeded in new process, continuing with the rest of the tests 2024-08-20T21:43:23.3773054Z Test results will be stored in test-reports/python-pytest/test_utils/test_utils-497adb7c05a79e0a.xml 2024-08-20T21:43:23.3773377Z ============================= test session starts ============================== 2024-08-20T21:43:23.3773895Z platform linux -- Python 3.12.4, pytest-7.3.2, pluggy-1.5.0 -- /opt/conda/envs/py_3.12/bin/python 2024-08-20T21:43:23.3774010Z cachedir: .pytest_cache 2024-08-20T21:43:23.3774730Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2024-08-20T21:43:23.3774860Z rootdir: /var/lib/jenkins/workspace 2024-08-20T21:43:23.3775011Z configfile: pytest.ini 2024-08-20T21:43:23.3775722Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, xdist-3.3.1, xdoctest-1.1.0, typeguard-4.3.0 2024-08-20T21:43:23.3776097Z collecting ... collected 5947 items / 4908 deselected / 1039 selected 2024-08-20T21:43:23.3776266Z stepcurrent: skipping 4908 already run items. 2024-08-20T21:43:23.3776408Z Running 1039 items in this shard 2024-08-20T21:43:23.3776414Z 2024-08-20T21:43:23.3777067Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_bool PASSED [0.0463s] [ 0%] 2024-08-20T21:43:23.3777771Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float32 PASSED [0.0064s] [ 0%] 2024-08-20T21:43:23.3778433Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float64 PASSED [0.0064s] [ 0%] 2024-08-20T21:43:23.3779083Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int16 PASSED [0.0061s] [ 0%] 2024-08-20T21:43:23.3779739Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int32 PASSED [0.0063s] [ 0%] 2024-08-20T21:43:23.3780380Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int64 PASSED [0.0061s] [ 0%] 2024-08-20T21:43:23.3781154Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int8 PASSED [0.0061s] [ 0%] 2024-08-20T21:43:23.3781800Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_uint8 PASSED [0.0069s] [ 0%] 2024-08-20T21:43:23.3782456Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_bool PASSED [0.0061s] [ 0%] 2024-08-20T21:43:23.3783138Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float32 PASSED [0.0062s] [ 0%] 2024-08-20T21:43:23.3783815Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float64 PASSED [0.0061s] [ 1%] 2024-08-20T21:43:23.3784489Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int16 PASSED [0.0063s] [ 1%] 2024-08-20T21:43:23.3785144Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int32 PASSED [0.0061s] [ 1%] 2024-08-20T21:43:23.3785796Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int64 PASSED [0.0062s] [ 1%] 2024-08-20T21:43:23.3786464Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int8 PASSED [0.0061s] [ 1%] 2024-08-20T21:43:23.3787111Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_uint8 PASSED [0.0062s] [ 1%] 2024-08-20T21:43:23.3787778Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_bool PASSED [0.0061s] [ 1%] 2024-08-20T21:43:23.3788671Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float32 PASSED [0.0061s] [ 1%] 2024-08-20T21:43:23.3789352Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float64 PASSED [0.0063s] [ 1%] 2024-08-20T21:43:23.3790023Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int16 PASSED [0.0061s] [ 1%] 2024-08-20T21:43:23.3790673Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int32 PASSED [0.0063s] [ 2%] 2024-08-20T21:43:23.3791324Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int64 PASSED [0.0061s] [ 2%] 2024-08-20T21:43:23.3791987Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int8 PASSED [0.0063s] [ 2%] 2024-08-20T21:43:23.3792680Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_uint8 PASSED [0.0061s] [ 2%] 2024-08-20T21:43:23.3793347Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_bool PASSED [0.0063s] [ 2%] 2024-08-20T21:43:23.3794013Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float32 PASSED [0.0061s] [ 2%] 2024-08-20T21:43:23.3794687Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float64 PASSED [0.0062s] [ 2%] 2024-08-20T21:43:23.3795356Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int16 PASSED [0.0062s] [ 2%] 2024-08-20T21:43:23.3796035Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int32 PASSED [0.0061s] [ 2%] 2024-08-20T21:43:23.3796696Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int64 PASSED [0.0066s] [ 2%] 2024-08-20T21:43:23.3797346Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int8 PASSED [0.0061s] [ 2%] 2024-08-20T21:43:23.3797990Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_uint8 PASSED [0.0063s] [ 3%] 2024-08-20T21:43:23.3798644Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_bool PASSED [0.0061s] [ 3%] 2024-08-20T21:43:23.3799345Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float32 PASSED [0.0105s] [ 3%] 2024-08-20T21:43:23.3800033Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float64 PASSED [0.0081s] [ 3%] 2024-08-20T21:43:23.3800686Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int16 PASSED [0.0063s] [ 3%] 2024-08-20T21:43:23.3801332Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int32 PASSED [0.0061s] [ 3%] 2024-08-20T21:43:23.3801992Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int64 PASSED [0.0063s] [ 3%] 2024-08-20T21:43:23.3802639Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int8 PASSED [0.0061s] [ 3%] 2024-08-20T21:43:23.3803301Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_uint8 PASSED [0.0061s] [ 3%] 2024-08-20T21:43:23.3804034Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_bool PASSED [0.0096s] [ 3%] 2024-08-20T21:43:23.3804788Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float32 PASSED [0.0094s] [ 4%] 2024-08-20T21:43:23.3805552Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float64 PASSED [0.0097s] [ 4%] 2024-08-20T21:43:23.3806328Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int16 PASSED [0.0094s] [ 4%] 2024-08-20T21:43:23.3807078Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int32 PASSED [0.0096s] [ 4%] 2024-08-20T21:43:23.3807809Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int64 PASSED [0.0094s] [ 4%] 2024-08-20T21:43:23.3808536Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int8 PASSED [0.0096s] [ 4%] 2024-08-20T21:43:23.3809290Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_uint8 PASSED [0.0095s] [ 4%] 2024-08-20T21:43:23.3810020Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_bool PASSED [0.0096s] [ 4%] 2024-08-20T21:43:23.3810808Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_float32 PASSED [0.0095s] [ 4%] 2024-08-20T21:43:23.3811563Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_float64 PASSED [0.0095s] [ 4%] 2024-08-20T21:43:23.3812294Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int16 PASSED [0.0101s] [ 5%] 2024-08-20T21:43:23.3813043Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int32 PASSED [0.0094s] [ 5%] 2024-08-20T21:43:23.3813796Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int64 PASSED [0.0096s] [ 5%] 2024-08-20T21:43:23.3814539Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int8 PASSED [0.0097s] [ 5%] 2024-08-20T21:43:23.3815278Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_uint8 PASSED [0.0096s] [ 5%] 2024-08-20T21:43:23.3816376Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_bool SKIPPED [0.0002s] (Skipping - testing takes an unreasonably long time, #79528) [ 5%] 2024-08-20T21:43:23.3817522Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_float32 SKIPPED [0.0002s] (Skipping - testing takes an unreasonably long time, #79528) [ 5%] 2024-08-20T21:43:23.3818628Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_float64 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 5%] 2024-08-20T21:43:23.3819736Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int16 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 5%] 2024-08-20T21:43:23.3820825Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int32 SKIPPED [0.0002s] (Skipping - testing takes an unreasonably long time, #79528) [ 5%] 2024-08-20T21:43:23.3822040Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int64 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 5%] 2024-08-20T21:43:23.3823125Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int8 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 6%] 2024-08-20T21:43:23.3824219Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_uint8 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 6%] 2024-08-20T21:43:23.3825312Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_bool SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 6%] 2024-08-20T21:43:23.3826627Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_float32 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 6%] 2024-08-20T21:43:23.3827749Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_float64 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 6%] 2024-08-20T21:43:23.3828837Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int16 SKIPPED [0.0003s] (Skipping - testing takes an unreasonably long time, #79528) [ 6%] 2024-08-20T21:43:23.3830000Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int32 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 6%] 2024-08-20T21:43:23.3831092Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int64 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 6%] 2024-08-20T21:43:23.3832173Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int8 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 6%] 2024-08-20T21:43:23.3833280Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_uint8 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 6%] 2024-08-20T21:43:23.3833965Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_bfloat16 PASSED [0.0059s] [ 7%] 2024-08-20T21:43:23.3834617Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_bool PASSED [0.0056s] [ 7%] 2024-08-20T21:43:23.3835263Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float16 PASSED [0.0058s] [ 7%] 2024-08-20T21:43:23.3835910Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float32 PASSED [0.0056s] [ 7%] 2024-08-20T21:43:23.3836612Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float64 PASSED [0.0058s] [ 7%] 2024-08-20T21:43:23.3837243Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int16 PASSED [0.0056s] [ 7%] 2024-08-20T21:43:23.3837882Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int32 PASSED [0.0058s] [ 7%] 2024-08-20T21:43:23.3838510Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int64 PASSED [0.0056s] [ 7%] 2024-08-20T21:43:23.3839137Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int8 PASSED [0.0056s] [ 7%] 2024-08-20T21:43:23.3839777Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_uint8 PASSED [0.0057s] [ 7%] 2024-08-20T21:43:23.3840405Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_bool PASSED [0.0061s] [ 7%] 2024-08-20T21:43:23.3841068Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_float32 PASSED [0.0062s] [ 8%] 2024-08-20T21:43:23.3841711Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_float64 PASSED [0.0061s] [ 8%] 2024-08-20T21:43:23.3842353Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int16 PASSED [0.0068s] [ 8%] 2024-08-20T21:43:23.3843004Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int32 PASSED [0.0061s] [ 8%] 2024-08-20T21:43:23.3843641Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int64 PASSED [0.0063s] [ 8%] 2024-08-20T21:43:23.3844325Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int8 PASSED [0.0061s] [ 8%] 2024-08-20T21:43:23.3844971Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_uint8 PASSED [0.0063s] [ 8%] 2024-08-20T21:43:23.3845692Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_bool PASSED [0.0095s] [ 8%] 2024-08-20T21:43:23.3846448Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_float32 PASSED [0.0095s] [ 8%] 2024-08-20T21:43:23.3847185Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_float64 PASSED [0.0096s] [ 8%] 2024-08-20T21:43:23.3847959Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int16 PASSED [0.0095s] [ 9%] 2024-08-20T21:43:23.3848698Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int32 PASSED [0.0097s] [ 9%] 2024-08-20T21:43:23.3849414Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int64 PASSED [0.0095s] [ 9%] 2024-08-20T21:43:23.3850146Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int8 PASSED [0.0097s] [ 9%] 2024-08-20T21:43:23.3850862Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_uint8 PASSED [0.0095s] [ 9%] 2024-08-20T21:43:23.3851612Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_bool PASSED [0.0096s] [ 9%] 2024-08-20T21:43:23.3852370Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_float32 PASSED [0.0095s] [ 9%] 2024-08-20T21:43:23.3853106Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_float64 PASSED [0.0097s] [ 9%] 2024-08-20T21:43:23.3853840Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int16 PASSED [0.0094s] [ 9%] 2024-08-20T21:43:23.3854601Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int32 PASSED [0.0095s] [ 9%] 2024-08-20T21:43:23.3855323Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int64 PASSED [0.0096s] [ 10%] 2024-08-20T21:43:23.3856056Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int8 PASSED [0.0095s] [ 10%] 2024-08-20T21:43:23.3856779Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_uint8 PASSED [0.0096s] [ 10%] 2024-08-20T21:43:23.3857434Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_bfloat16 PASSED [0.0056s] [ 10%] 2024-08-20T21:43:23.3858055Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_bool PASSED [0.0062s] [ 10%] 2024-08-20T21:43:23.3858691Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_float16 PASSED [0.0056s] [ 10%] 2024-08-20T21:43:23.3859345Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_float32 PASSED [0.0057s] [ 10%] 2024-08-20T21:43:23.3859981Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_float64 PASSED [0.0056s] [ 10%] 2024-08-20T21:43:23.3860617Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int16 PASSED [0.0056s] [ 10%] 2024-08-20T21:43:23.3861333Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int32 PASSED [0.0057s] [ 10%] 2024-08-20T21:43:23.3861994Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int64 PASSED [0.0056s] [ 10%] 2024-08-20T21:43:23.3862626Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int8 PASSED [0.0058s] [ 11%] 2024-08-20T21:43:23.3863249Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_uint8 PASSED [0.0056s] [ 11%] 2024-08-20T21:43:23.3863877Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_bool PASSED [0.0058s] [ 11%] 2024-08-20T21:43:23.3864509Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_float32 PASSED [0.0056s] [ 11%] 2024-08-20T21:43:23.3865139Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_float64 PASSED [0.0058s] [ 11%] 2024-08-20T21:43:23.3865795Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_int16 PASSED [0.0056s] [ 11%] 2024-08-20T21:43:23.3866415Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_int32 PASSED [0.0058s] [ 11%] 2024-08-20T21:43:23.3867046Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_int64 PASSED [0.0056s] [ 11%] 2024-08-20T21:43:23.3867656Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_int8 PASSED [0.0056s] [ 11%] 2024-08-20T21:43:23.3868270Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_uint8 PASSED [0.0057s] [ 11%] 2024-08-20T21:43:23.3868952Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_bool PASSED [0.0056s] [ 12%] 2024-08-20T21:43:23.3869587Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_float32 PASSED [0.0058s] [ 12%] 2024-08-20T21:43:23.3870222Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_float64 PASSED [0.0056s] [ 12%] 2024-08-20T21:43:23.3870858Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_int16 PASSED [0.0058s] [ 12%] 2024-08-20T21:43:23.3871477Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_int32 PASSED [0.0056s] [ 12%] 2024-08-20T21:43:23.3872136Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_int64 PASSED [0.0061s] [ 12%] 2024-08-20T21:43:23.3872755Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_int8 PASSED [0.0056s] [ 12%] 2024-08-20T21:43:23.3873377Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_uint8 PASSED [0.0058s] [ 12%] 2024-08-20T21:43:23.3874120Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_bool PASSED [0.0094s] [ 12%] 2024-08-20T21:43:23.3874865Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_float32 PASSED [0.0095s] [ 12%] 2024-08-20T21:43:23.3875616Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_float64 PASSED [0.0097s] [ 12%] 2024-08-20T21:43:23.3876350Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_int16 PASSED [0.0094s] [ 13%] 2024-08-20T21:43:23.3877081Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_int32 PASSED [0.0097s] [ 13%] 2024-08-20T21:43:23.3877824Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_int64 PASSED [0.0095s] [ 13%] 2024-08-20T21:43:23.3878547Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_int8 PASSED [0.0097s] [ 13%] 2024-08-20T21:43:23.3879283Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_uint8 PASSED [0.0094s] [ 13%] 2024-08-20T21:43:23.3880396Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_bool SKIPPED [0.0002s] (Skipping - testing takes an unreasonably long time, #79528) [ 13%] 2024-08-20T21:43:23.3881493Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_float32 SKIPPED [0.0003s] (Skipping - testing takes an unreasonably long time, #79528) [ 13%] 2024-08-20T21:43:23.3882606Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_float64 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 13%] 2024-08-20T21:43:23.3883696Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_int16 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 13%] 2024-08-20T21:43:23.3884820Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_int32 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 13%] 2024-08-20T21:43:23.3885911Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_int64 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 14%] 2024-08-20T21:43:23.3887005Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_int8 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 14%] 2024-08-20T21:43:23.3888107Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_uint8 SKIPPED [0.0002s] (Skipping - testing takes an unreasonably long time, #79528) [ 14%] 2024-08-20T21:43:23.3888955Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_bool PASSED [0.0063s] [ 14%] 2024-08-20T21:43:23.3889639Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_float32 PASSED [0.0063s] [ 14%] 2024-08-20T21:43:23.3890306Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_float64 PASSED [0.0061s] [ 14%] 2024-08-20T21:43:23.3891015Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_int16 PASSED [0.0063s] [ 14%] 2024-08-20T21:43:23.3891660Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_int32 PASSED [0.0062s] [ 14%] 2024-08-20T21:43:23.3892312Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_int64 PASSED [0.0064s] [ 14%] 2024-08-20T21:43:23.3892970Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_int8 PASSED [0.0062s] [ 14%] 2024-08-20T21:43:23.3893624Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_uint8 PASSED [0.0064s] [ 15%] 2024-08-20T21:43:23.3894348Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_bool PASSED [0.0062s] [ 15%] 2024-08-20T21:43:23.3895071Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_float32 PASSED [0.0066s] [ 15%] 2024-08-20T21:43:23.3895794Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_float64 PASSED [0.0062s] [ 15%] 2024-08-20T21:43:23.3896525Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_int16 PASSED [0.0062s] [ 15%] 2024-08-20T21:43:23.3897234Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_int32 PASSED [0.0063s] [ 15%] 2024-08-20T21:43:23.3897958Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_int64 PASSED [0.0061s] [ 15%] 2024-08-20T21:43:23.3898693Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_int8 PASSED [0.0063s] [ 15%] 2024-08-20T21:43:23.3899410Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_uint8 PASSED [0.0061s] [ 15%] 2024-08-20T21:43:23.3900130Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_bool PASSED [0.0063s] [ 15%] 2024-08-20T21:43:23.3900850Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_float32 PASSED [0.0061s] [ 15%] 2024-08-20T21:43:23.3901670Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_float64 PASSED [0.0063s] [ 16%] 2024-08-20T21:43:23.3902415Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_int16 PASSED [0.0061s] [ 16%] 2024-08-20T21:43:23.3903129Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_int32 PASSED [0.0062s] [ 16%] 2024-08-20T21:43:23.3903855Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_int64 PASSED [0.0062s] [ 16%] 2024-08-20T21:43:23.3904560Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_int8 PASSED [0.0061s] [ 16%] 2024-08-20T21:43:23.3905282Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_uint8 PASSED [0.0063s] [ 16%] 2024-08-20T21:43:23.3906015Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_bool PASSED [0.0061s] [ 16%] 2024-08-20T21:43:23.3906737Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_float32 PASSED [0.0063s] [ 16%] 2024-08-20T21:43:23.3907471Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_float64 PASSED [0.0061s] [ 16%] 2024-08-20T21:43:23.3908179Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_int16 PASSED [0.0063s] [ 16%] 2024-08-20T21:43:23.3908895Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_int32 PASSED [0.0108s] [ 17%] 2024-08-20T21:43:23.3909647Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_int64 PASSED [0.0076s] [ 17%] 2024-08-20T21:43:23.3910350Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_int8 PASSED [0.0061s] [ 17%] 2024-08-20T21:43:23.3911069Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_uint8 PASSED [0.0067s] [ 17%] 2024-08-20T21:43:23.3911770Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_bool PASSED [0.0061s] [ 17%] 2024-08-20T21:43:23.3912504Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_float32 PASSED [0.0061s] [ 17%] 2024-08-20T21:43:23.3913223Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_float64 PASSED [0.0062s] [ 17%] 2024-08-20T21:43:23.3913932Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_int16 PASSED [0.0061s] [ 17%] 2024-08-20T21:43:23.3914648Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_int32 PASSED [0.0063s] [ 17%] 2024-08-20T21:43:23.3915358Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_int64 PASSED [0.0061s] [ 17%] 2024-08-20T21:43:23.3916058Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_int8 PASSED [0.0063s] [ 17%] 2024-08-20T21:43:23.3916809Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_uint8 PASSED [0.0062s] [ 18%] 2024-08-20T21:43:23.3917461Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_bfloat16 PASSED [0.0063s] [ 18%] 2024-08-20T21:43:23.3918104Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_bool PASSED [0.0061s] [ 18%] 2024-08-20T21:43:23.3918745Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_float16 PASSED [0.0063s] [ 18%] 2024-08-20T21:43:23.3919387Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_float32 PASSED [0.0061s] [ 18%] 2024-08-20T21:43:23.3920039Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_float64 PASSED [0.0061s] [ 18%] 2024-08-20T21:43:23.3920695Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_int16 PASSED [0.0062s] [ 18%] 2024-08-20T21:43:23.3921347Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_int32 PASSED [0.0061s] [ 18%] 2024-08-20T21:43:23.3921976Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_int64 PASSED [0.0063s] [ 18%] 2024-08-20T21:43:23.3922605Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_int8 PASSED [0.0061s] [ 18%] 2024-08-20T21:43:23.3923246Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_uint8 PASSED [0.0063s] [ 19%] 2024-08-20T21:43:23.3923908Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_bool PASSED [0.0061s] [ 19%] 2024-08-20T21:43:23.3924571Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_float32 PASSED [0.0063s] [ 19%] 2024-08-20T21:43:23.3925220Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_float64 PASSED [0.0061s] [ 19%] 2024-08-20T21:43:23.3926010Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_int16 PASSED [0.0066s] [ 19%] 2024-08-20T21:43:23.3926665Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_int32 PASSED [0.0061s] [ 19%] 2024-08-20T21:43:23.3927365Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_int64 PASSED [0.0061s] [ 19%] 2024-08-20T21:43:23.3928003Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_int8 PASSED [0.0062s] [ 19%] 2024-08-20T21:43:23.3928641Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_uint8 PASSED [0.0061s] [ 19%] 2024-08-20T21:43:23.3929453Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_bfloat16 PASSED [0.0102s] [ 19%] 2024-08-20T21:43:23.3930252Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_bool PASSED [0.0097s] [ 20%] 2024-08-20T21:43:23.3931040Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_float16 PASSED [0.0099s] [ 20%] 2024-08-20T21:43:23.3931844Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_float32 PASSED [0.0097s] [ 20%] 2024-08-20T21:43:23.3932629Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_float64 PASSED [0.0099s] [ 20%] 2024-08-20T21:43:23.3933408Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_int16 PASSED [0.0097s] [ 20%] 2024-08-20T21:43:23.3934198Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_int32 PASSED [0.0099s] [ 20%] 2024-08-20T21:43:23.3935013Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_int64 PASSED [0.0097s] [ 20%] 2024-08-20T21:43:23.3935805Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_int8 PASSED [0.0097s] [ 20%] 2024-08-20T21:43:23.3936582Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_uint8 PASSED [0.0098s] [ 20%] 2024-08-20T21:43:23.3937323Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_bool PASSED [0.0061s] [ 20%] 2024-08-20T21:43:23.3938103Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_float32 PASSED [0.0063s] [ 20%] 2024-08-20T21:43:23.3938907Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_float64 PASSED [0.0061s] [ 21%] 2024-08-20T21:43:23.3939670Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_int16 PASSED [0.0063s] [ 21%] 2024-08-20T21:43:23.3940414Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_int32 PASSED [0.0061s] [ 21%] 2024-08-20T21:43:23.3941235Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_int64 PASSED [0.0064s] [ 21%] 2024-08-20T21:43:23.3942043Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_int8 PASSED [0.0061s] [ 21%] 2024-08-20T21:43:23.3942794Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_uint8 PASSED [0.0066s] [ 21%] 2024-08-20T21:43:23.3943547Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_bool PASSED [0.0061s] [ 21%] 2024-08-20T21:43:23.3944308Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_float32 PASSED [0.0062s] [ 21%] 2024-08-20T21:43:23.3945068Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_float64 PASSED [0.0063s] [ 21%] 2024-08-20T21:43:23.3945859Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_int16 PASSED [0.0061s] [ 21%] 2024-08-20T21:43:23.3946602Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_int32 PASSED [0.0063s] [ 22%] 2024-08-20T21:43:23.3947355Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_int64 PASSED [0.0062s] [ 22%] 2024-08-20T21:43:23.3948096Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_int8 PASSED [0.0063s] [ 22%] 2024-08-20T21:43:23.3948840Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_uint8 PASSED [0.0061s] [ 22%] 2024-08-20T21:43:23.3949990Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_bool SKIPPED [0.0002s] (Skipping - testing takes an unreasonably long time, #79528) [ 22%] 2024-08-20T21:43:23.3951145Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_float32 SKIPPED [0.0003s] (Skipping - testing takes an unreasonably long time, #79528) [ 22%] 2024-08-20T21:43:23.3952296Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_float64 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 22%] 2024-08-20T21:43:23.3953433Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_int16 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 22%] 2024-08-20T21:43:23.3954610Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_int32 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 22%] 2024-08-20T21:43:23.3955749Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_int64 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 22%] 2024-08-20T21:43:23.3956882Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_int8 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 23%] 2024-08-20T21:43:23.3958058Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_uint8 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 23%] 2024-08-20T21:43:23.3959196Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_bool SKIPPED [0.0003s] (Skipping - testing takes an unreasonably long time, #79528) [ 23%] 2024-08-20T21:43:23.3960358Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_float32 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 23%] 2024-08-20T21:43:23.3961527Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_float64 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 23%] 2024-08-20T21:43:23.3962680Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_int16 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 23%] 2024-08-20T21:43:23.3963817Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_int32 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 23%] 2024-08-20T21:43:23.3964974Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_int64 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 23%] 2024-08-20T21:43:23.3966115Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_int8 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 23%] 2024-08-20T21:43:23.3967247Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_uint8 SKIPPED [0.0003s] (Skipping - testing takes an unreasonably long time, #79528) [ 23%] 2024-08-20T21:43:23.3968384Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_bool SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 23%] 2024-08-20T21:43:23.3969526Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_float32 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 24%] 2024-08-20T21:43:23.3970678Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_float64 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 24%] 2024-08-20T21:43:23.3971805Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_int16 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 24%] 2024-08-20T21:43:23.3972944Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_int32 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 24%] 2024-08-20T21:43:23.3974124Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_int64 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 24%] 2024-08-20T21:43:23.3975247Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_int8 SKIPPED [0.0003s] (Skipping - testing takes an unreasonably long time, #79528) [ 24%] 2024-08-20T21:43:23.3976389Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_uint8 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 24%] 2024-08-20T21:43:23.3977548Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_bool SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 24%] 2024-08-20T21:43:23.3978713Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_float32 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 24%] 2024-08-20T21:43:23.3979859Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_float64 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 24%] 2024-08-20T21:43:23.3981111Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int16 SKIPPED [0.0002s] (Skipping - testing takes an unreasonably long time, #79528) [ 25%] 2024-08-20T21:43:23.3982251Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int32 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 25%] 2024-08-20T21:43:23.3983372Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int64 SKIPPED [0.0003s] (Skipping - testing takes an unreasonably long time, #79528) [ 25%] 2024-08-20T21:43:23.3984507Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int8 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 25%] 2024-08-20T21:43:23.3985671Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_uint8 SKIPPED [0.0001s] (Skipping - testing takes an unreasonably long time, #79528) [ 25%] 2024-08-20T21:43:23.3986403Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_bool PASSED [0.0062s] [ 25%] 2024-08-20T21:43:23.3987138Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_float32 PASSED [0.0063s] [ 25%] 2024-08-20T21:43:23.3987870Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_float64 PASSED [0.0061s] [ 25%] 2024-08-20T21:43:23.3988772Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int16 PASSED [0.0062s] [ 25%] 2024-08-20T21:43:23.3989500Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int32 PASSED [0.0066s] [ 25%] 2024-08-20T21:43:23.3990232Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int64 PASSED [0.0061s] [ 25%] 2024-08-20T21:43:23.3990945Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int8 PASSED [0.0063s] [ 26%] 2024-08-20T21:43:23.3991663Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_uint8 PASSED [0.0062s] [ 26%] 2024-08-20T21:43:23.3992383Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_bfloat16 PASSED [0.0098s] [ 26%] 2024-08-20T21:43:23.3993028Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_bool PASSED [0.0095s] [ 26%] 2024-08-20T21:43:23.3993720Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float16 PASSED [0.0097s] [ 26%] 2024-08-20T21:43:23.3994380Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float32 PASSED [0.0095s] [ 26%] 2024-08-20T21:43:23.3995036Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float64 PASSED [0.0097s] [ 26%] 2024-08-20T21:43:23.3995701Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int16 PASSED [0.0096s] [ 26%] 2024-08-20T21:43:23.3996385Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int32 PASSED [0.0095s] [ 26%] 2024-08-20T21:43:23.3997050Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int64 PASSED [0.0097s] [ 26%] 2024-08-20T21:43:23.3997694Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int8 PASSED [0.0095s] [ 27%] 2024-08-20T21:43:23.3998335Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_uint8 PASSED [0.0097s] [ 27%] 2024-08-20T21:43:23.3998972Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_bool PASSED [0.0094s] [ 27%] 2024-08-20T21:43:23.3999641Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_float32 PASSED [0.0097s] [ 27%] 2024-08-20T21:43:23.4000297Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_float64 PASSED [0.0094s] [ 27%] 2024-08-20T21:43:23.4000927Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int16 PASSED [0.0096s] [ 27%] 2024-08-20T21:43:23.4001561Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int32 PASSED [0.0095s] [ 27%] 2024-08-20T21:43:23.4002207Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int64 PASSED [0.0094s] [ 27%] 2024-08-20T21:43:23.4002861Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int8 PASSED [0.0097s] [ 27%] 2024-08-20T21:43:23.4003487Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_uint8 PASSED [0.0095s] [ 27%] 2024-08-20T21:43:23.4004117Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_bfloat16 PASSED [0.0062s] [ 28%] 2024-08-20T21:43:23.4004699Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_bool PASSED [0.0056s] [ 28%] 2024-08-20T21:43:23.4005332Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex128 PASSED [0.0059s] [ 28%] 2024-08-20T21:43:23.4005953Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex32 PASSED [0.0058s] [ 28%] 2024-08-20T21:43:23.4006557Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex64 PASSED [0.0058s] [ 28%] 2024-08-20T21:43:23.4007172Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float16 PASSED [0.0056s] [ 28%] 2024-08-20T21:43:23.4007768Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float32 PASSED [0.0057s] [ 28%] 2024-08-20T21:43:23.4008378Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float64 PASSED [0.0058s] [ 28%] 2024-08-20T21:43:23.4008962Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int16 PASSED [0.0056s] [ 28%] 2024-08-20T21:43:23.4009554Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int32 PASSED [0.0058s] [ 28%] 2024-08-20T21:43:23.4010188Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int64 PASSED [0.0056s] [ 28%] 2024-08-20T21:43:23.4010772Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int8 PASSED [0.0058s] [ 29%] 2024-08-20T21:43:23.4011365Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_uint8 PASSED [0.0057s] [ 29%] 2024-08-20T21:43:23.4012031Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_bfloat16 PASSED [0.0063s] [ 29%] 2024-08-20T21:43:23.4012678Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_bool PASSED [0.0061s] [ 29%] 2024-08-20T21:43:23.4013371Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_complex128 PASSED [0.0063s] [ 29%] 2024-08-20T21:43:23.4014074Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_complex64 PASSED [0.0062s] [ 29%] 2024-08-20T21:43:23.4014751Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float16 PASSED [0.0061s] [ 29%] 2024-08-20T21:43:23.4015404Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float32 PASSED [0.0063s] [ 29%] 2024-08-20T21:43:23.4016067Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float64 PASSED [0.0062s] [ 29%] 2024-08-20T21:43:23.4016756Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int16 PASSED [0.0063s] [ 29%] 2024-08-20T21:43:23.4017402Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int32 PASSED [0.0061s] [ 30%] 2024-08-20T21:43:23.4018042Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int64 PASSED [0.0067s] [ 30%] 2024-08-20T21:43:23.4018696Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int8 PASSED [0.0061s] [ 30%] 2024-08-20T21:43:23.4019338Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_uint8 PASSED [0.0063s] [ 30%] 2024-08-20T21:43:23.4020076Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_bfloat16 PASSED [0.0067s] [ 30%] 2024-08-20T21:43:23.4020748Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_bool PASSED [0.0068s] [ 30%] 2024-08-20T21:43:23.4021544Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex128 PASSED [0.0067s] [ 30%] 2024-08-20T21:43:23.4022267Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex32 PASSED [0.0067s] [ 30%] 2024-08-20T21:43:23.4022967Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex64 PASSED [0.0068s] [ 30%] 2024-08-20T21:43:23.4023675Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float16 PASSED [0.0067s] [ 30%] 2024-08-20T21:43:23.4024358Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float32 PASSED [0.0068s] [ 30%] 2024-08-20T21:43:23.4025048Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float64 PASSED [0.0067s] [ 31%] 2024-08-20T21:43:23.4026097Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int16 PASSED [0.0068s] [ 31%] 2024-08-20T21:43:23.4026797Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int32 PASSED [0.0067s] [ 31%] 2024-08-20T21:43:23.4027476Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int64 PASSED [0.0069s] [ 31%] 2024-08-20T21:43:23.4028248Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int8 PASSED [0.0067s] [ 31%] 2024-08-20T21:43:23.4028925Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_uint8 PASSED [0.0068s] [ 31%] 2024-08-20T21:43:23.4029608Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bfloat16 PASSED [0.0072s] [ 31%] 2024-08-20T21:43:23.4030257Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bool PASSED [0.0112s] [ 31%] 2024-08-20T21:43:23.4030934Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex128 PASSED [0.0069s] [ 31%] 2024-08-20T21:43:23.4031621Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex32 PASSED [0.0068s] [ 31%] 2024-08-20T21:43:23.4032331Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex64 PASSED [0.0069s] [ 32%] 2024-08-20T21:43:23.4033018Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float16 PASSED [0.0067s] [ 32%] 2024-08-20T21:43:23.4033676Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float32 PASSED [0.0072s] [ 32%] 2024-08-20T21:43:23.4034332Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float64 PASSED [0.0066s] [ 32%] 2024-08-20T21:43:23.4035033Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int16 PASSED [0.0068s] [ 32%] 2024-08-20T21:43:23.4035692Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int32 PASSED [0.0067s] [ 32%] 2024-08-20T21:43:23.4036351Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int64 PASSED [0.0067s] [ 32%] 2024-08-20T21:43:23.4037000Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int8 PASSED [0.0068s] [ 32%] 2024-08-20T21:43:23.4037648Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_uint8 PASSED [0.0066s] [ 32%] 2024-08-20T21:43:23.4038308Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bfloat16 PASSED [0.0053s] [ 32%] 2024-08-20T21:43:23.4038883Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bool PASSED [0.0051s] [ 33%] 2024-08-20T21:43:23.4039493Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex128 PASSED [0.0053s] [ 33%] 2024-08-20T21:43:23.4040111Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex64 PASSED [0.0051s] [ 33%] 2024-08-20T21:43:23.4040702Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float16 PASSED [0.0053s] [ 33%] 2024-08-20T21:43:23.4041304Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float32 PASSED [0.0052s] [ 33%] 2024-08-20T21:43:23.4041885Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float64 PASSED [0.0053s] [ 33%] 2024-08-20T21:43:23.4042469Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int16 PASSED [0.0051s] [ 33%] 2024-08-20T21:43:23.4043064Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int32 PASSED [0.0051s] [ 33%] 2024-08-20T21:43:23.4043646Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int64 PASSED [0.0053s] [ 33%] 2024-08-20T21:43:23.4044230Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int8 PASSED [0.0051s] [ 33%] 2024-08-20T21:43:23.4044810Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_uint8 PASSED [0.0053s] [ 33%] 2024-08-20T21:43:23.4045458Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bfloat16 PASSED [0.0061s] [ 34%] 2024-08-20T21:43:23.4046059Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bool PASSED [0.0063s] [ 34%] 2024-08-20T21:43:23.4046683Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex128 PASSED [0.0062s] [ 34%] 2024-08-20T21:43:23.4047312Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex64 PASSED [0.0066s] [ 34%] 2024-08-20T21:43:23.4047917Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float16 PASSED [0.0062s] [ 34%] 2024-08-20T21:43:23.4048513Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float32 PASSED [0.0063s] [ 34%] 2024-08-20T21:43:23.4049359Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float64 PASSED [0.0061s] [ 34%] 2024-08-20T21:43:23.4049966Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int16 PASSED [0.0061s] [ 34%] 2024-08-20T21:43:23.4050555Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int32 PASSED [0.0063s] [ 34%] 2024-08-20T21:43:23.4051151Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int64 PASSED [0.0061s] [ 34%] 2024-08-20T21:43:23.4051733Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int8 PASSED [0.0063s] [ 35%] 2024-08-20T21:43:23.4052338Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_uint8 PASSED [0.0061s] [ 35%] 2024-08-20T21:43:23.4052986Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bfloat16 PASSED [0.0090s] [ 35%] 2024-08-20T21:43:23.4053579Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bool PASSED [0.0087s] [ 35%] 2024-08-20T21:43:23.4054228Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex128 PASSED [0.0090s] [ 35%] 2024-08-20T21:43:23.4054915Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex32 PASSED [0.0088s] [ 35%] 2024-08-20T21:43:23.4055581Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex64 PASSED [0.0090s] [ 35%] 2024-08-20T21:43:23.4056192Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float16 PASSED [0.0087s] [ 35%] 2024-08-20T21:43:23.4056803Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float32 PASSED [0.0087s] [ 35%] 2024-08-20T21:43:23.4057415Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float64 PASSED [0.0089s] [ 35%] 2024-08-20T21:43:23.4058013Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int16 PASSED [0.0087s] [ 35%] 2024-08-20T21:43:23.4058609Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int32 PASSED [0.0090s] [ 36%] 2024-08-20T21:43:23.4059212Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int64 PASSED [0.0087s] [ 36%] 2024-08-20T21:43:23.4059805Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int8 PASSED [0.0090s] [ 36%] 2024-08-20T21:43:23.4060407Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_uint8 PASSED [0.0087s] [ 36%] 2024-08-20T21:43:23.4061149Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bfloat16 PASSED [0.0083s] [ 36%] 2024-08-20T21:43:23.4061803Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bool PASSED [0.0077s] [ 36%] 2024-08-20T21:43:23.4062498Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex128 PASSED [0.0080s] [ 36%] 2024-08-20T21:43:23.4063214Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex32 PASSED [0.0078s] [ 36%] 2024-08-20T21:43:23.4063900Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex64 PASSED [0.0078s] [ 36%] 2024-08-20T21:43:23.4064568Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float16 PASSED [0.0079s] [ 36%] 2024-08-20T21:43:23.4065229Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float32 PASSED [0.0077s] [ 37%] 2024-08-20T21:43:23.4065906Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float64 PASSED [0.0079s] [ 37%] 2024-08-20T21:43:23.4066557Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int16 PASSED [0.0077s] [ 37%] 2024-08-20T21:43:23.4067246Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int32 PASSED [0.0080s] [ 37%] 2024-08-20T21:43:23.4067897Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int64 PASSED [0.0077s] [ 37%] 2024-08-20T21:43:23.4068546Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int8 PASSED [0.0079s] [ 37%] 2024-08-20T21:43:23.4069205Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_uint8 PASSED [0.0077s] [ 37%] 2024-08-20T21:43:23.4069806Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bfloat16 PASSED [0.0093s] [ 37%] 2024-08-20T21:43:23.4070428Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bool PASSED [0.0091s] [ 37%] 2024-08-20T21:43:23.4071045Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex128 PASSED [0.0091s] [ 37%] 2024-08-20T21:43:23.4071660Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex32 PASSED [0.0093s] [ 38%] 2024-08-20T21:43:23.4072279Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex64 PASSED [0.0091s] [ 38%] 2024-08-20T21:43:23.4072876Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float16 PASSED [0.0093s] [ 38%] 2024-08-20T21:43:23.4073493Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float32 PASSED [0.0092s] [ 38%] 2024-08-20T21:43:23.4074089Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float64 PASSED [0.0093s] [ 38%] 2024-08-20T21:43:23.4074672Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int16 PASSED [0.0091s] [ 38%] 2024-08-20T21:43:23.4075266Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int32 PASSED [0.0096s] [ 38%] 2024-08-20T21:43:23.4075856Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int64 PASSED [0.0091s] [ 38%] 2024-08-20T21:43:23.4076439Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int8 PASSED [0.0090s] [ 38%] 2024-08-20T21:43:23.4077030Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_uint8 PASSED [0.0092s] [ 38%] 2024-08-20T21:43:23.4077624Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_bfloat16 PASSED [0.0103s] [ 38%] 2024-08-20T21:43:23.4078239Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex128 PASSED [0.0106s] [ 39%] 2024-08-20T21:43:23.4078837Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex64 PASSED [0.0104s] [ 39%] 2024-08-20T21:43:23.4079415Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float16 PASSED [0.0106s] [ 39%] 2024-08-20T21:43:23.4080012Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float32 PASSED [0.0103s] [ 39%] 2024-08-20T21:43:23.4080626Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float64 PASSED [0.0105s] [ 39%] 2024-08-20T21:43:23.4081254Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_bfloat16 PASSED [0.0103s] [ 39%] 2024-08-20T21:43:23.4081889Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex128 PASSED [0.0106s] [ 39%] 2024-08-20T21:43:23.4082521Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex64 PASSED [0.0104s] [ 39%] 2024-08-20T21:43:23.4083154Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float16 PASSED [0.0103s] [ 39%] 2024-08-20T21:43:23.4083763Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float32 PASSED [0.0105s] [ 39%] 2024-08-20T21:43:23.4084407Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float64 PASSED [0.0103s] [ 40%] 2024-08-20T21:43:23.4085097Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_bfloat16 PASSED [0.0058s] [ 40%] 2024-08-20T21:43:23.4085783Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex128 PASSED [0.0056s] [ 40%] 2024-08-20T21:43:23.4086472Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex64 PASSED [0.0058s] [ 40%] 2024-08-20T21:43:23.4087135Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float16 PASSED [0.0056s] [ 40%] 2024-08-20T21:43:23.4087832Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float32 PASSED [0.0058s] [ 40%] 2024-08-20T21:43:23.4088720Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float64 PASSED [0.0056s] [ 40%] 2024-08-20T21:43:23.4089375Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_bfloat16 PASSED [0.0061s] [ 40%] 2024-08-20T21:43:23.4090048Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex128 PASSED [0.0056s] [ 40%] 2024-08-20T21:43:23.4090744Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex64 PASSED [0.0056s] [ 40%] 2024-08-20T21:43:23.4091384Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float16 PASSED [0.0058s] [ 41%] 2024-08-20T21:43:23.4092040Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float32 PASSED [0.0056s] [ 41%] 2024-08-20T21:43:23.4092672Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float64 PASSED [0.0058s] [ 41%] 2024-08-20T21:43:23.4093296Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex128 PASSED [0.0097s] [ 41%] 2024-08-20T21:43:23.4093903Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex64 PASSED [0.0098s] [ 41%] 2024-08-20T21:43:23.4094493Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float32 PASSED [0.0095s] [ 41%] 2024-08-20T21:43:23.4095095Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float64 PASSED [0.0097s] [ 41%] 2024-08-20T21:43:23.4095677Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_bfloat16 PASSED [0.0107s] [ 41%] 2024-08-20T21:43:23.4096293Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex128 PASSED [0.0107s] [ 41%] 2024-08-20T21:43:23.4096895Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex32 PASSED [0.0110s] [ 41%] 2024-08-20T21:43:23.4097496Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex64 PASSED [0.0108s] [ 41%] 2024-08-20T21:43:23.4098123Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float16 PASSED [0.0108s] [ 42%] 2024-08-20T21:43:23.4098704Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float32 PASSED [0.0106s] [ 42%] 2024-08-20T21:43:23.4099287Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float64 PASSED [0.0108s] [ 42%] 2024-08-20T21:43:23.4099873Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int16 PASSED [0.0106s] [ 42%] 2024-08-20T21:43:23.4100449Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int32 PASSED [0.0108s] [ 42%] 2024-08-20T21:43:23.4101108Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int64 PASSED [0.0106s] [ 42%] 2024-08-20T21:43:23.4101721Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int8 PASSED [0.0105s] [ 42%] 2024-08-20T21:43:23.4102297Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_uint8 PASSED [0.0112s] [ 42%] 2024-08-20T21:43:23.4102904Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bfloat16 PASSED [0.0146s] [ 42%] 2024-08-20T21:43:23.4103475Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bool PASSED [0.0147s] [ 42%] 2024-08-20T21:43:23.4104089Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex128 PASSED [0.0145s] [ 43%] 2024-08-20T21:43:23.4104716Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex64 PASSED [0.0147s] [ 43%] 2024-08-20T21:43:23.4105301Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float16 PASSED [0.0145s] [ 43%] 2024-08-20T21:43:23.4105899Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float32 PASSED [0.0146s] [ 43%] 2024-08-20T21:43:23.4106485Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float64 PASSED [0.0145s] [ 43%] 2024-08-20T21:43:23.4107071Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int16 PASSED [0.0145s] [ 43%] 2024-08-20T21:43:23.4107674Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int32 PASSED [0.0146s] [ 43%] 2024-08-20T21:43:23.4108246Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int64 PASSED [0.0144s] [ 43%] 2024-08-20T21:43:23.4108825Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int8 PASSED [0.0147s] [ 43%] 2024-08-20T21:43:23.4109398Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_uint8 PASSED [0.0144s] [ 43%] 2024-08-20T21:43:23.4110033Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bfloat16 PASSED [0.0131s] [ 43%] 2024-08-20T21:43:23.4110657Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bool PASSED [0.0128s] [ 44%] 2024-08-20T21:43:23.4111308Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex128 PASSED [0.0132s] [ 44%] 2024-08-20T21:43:23.4111963Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex64 PASSED [0.0130s] [ 44%] 2024-08-20T21:43:23.4112599Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float16 PASSED [0.0129s] [ 44%] 2024-08-20T21:43:23.4113229Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float32 PASSED [0.0130s] [ 44%] 2024-08-20T21:43:23.4113871Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float64 PASSED [0.0129s] [ 44%] 2024-08-20T21:43:23.4114495Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int16 PASSED [0.0131s] [ 44%] 2024-08-20T21:43:23.4115162Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int32 PASSED [0.0128s] [ 44%] 2024-08-20T21:43:23.4115777Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int64 PASSED [0.0135s] [ 44%] 2024-08-20T21:43:23.4116392Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int8 PASSED [0.0129s] [ 44%] 2024-08-20T21:43:23.4117018Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_uint8 PASSED [0.0131s] [ 45%] 2024-08-20T21:43:23.4117624Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex128 PASSED [0.1596s] [ 45%] 2024-08-20T21:43:23.4118239Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex64 PASSED [0.1594s] [ 45%] 2024-08-20T21:43:23.4118851Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float32 PASSED [0.1544s] [ 45%] 2024-08-20T21:43:23.4119442Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float64 PASSED [0.1513s] [ 45%] 2024-08-20T21:43:23.4120102Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex128 PASSED [0.0148s] [ 45%] 2024-08-20T21:43:23.4120748Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex64 PASSED [0.0143s] [ 45%] 2024-08-20T21:43:23.4121380Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float32 PASSED [0.0142s] [ 45%] 2024-08-20T21:43:23.4122054Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float64 PASSED [0.0142s] [ 45%] 2024-08-20T21:43:23.4122669Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bfloat16 PASSED [0.0062s] [ 45%] 2024-08-20T21:43:23.4123268Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bool PASSED [0.0064s] [ 46%] 2024-08-20T21:43:23.4123890Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex128 PASSED [0.0062s] [ 46%] 2024-08-20T21:43:23.4124502Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex64 PASSED [0.0064s] [ 46%] 2024-08-20T21:43:23.4125144Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float16 PASSED [0.0062s] [ 46%] 2024-08-20T21:43:23.4125989Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float32 PASSED [0.0063s] [ 46%] 2024-08-20T21:43:23.4126609Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float64 PASSED [0.0062s] [ 46%] 2024-08-20T21:43:23.4127201Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int16 PASSED [0.0063s] [ 46%] 2024-08-20T21:43:23.4127831Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int32 PASSED [0.0061s] [ 46%] 2024-08-20T21:43:23.4128428Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int64 PASSED [0.0061s] [ 46%] 2024-08-20T21:43:23.4129010Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int8 PASSED [0.0066s] [ 46%] 2024-08-20T21:43:23.4129625Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_uint8 PASSED [0.0061s] [ 46%] 2024-08-20T21:43:23.4130206Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bfloat16 PASSED [0.0063s] [ 47%] 2024-08-20T21:43:23.4130768Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bool PASSED [0.0061s] [ 47%] 2024-08-20T21:43:23.4131371Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex128 PASSED [0.0064s] [ 47%] 2024-08-20T21:43:23.4131952Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex64 PASSED [0.0062s] [ 47%] 2024-08-20T21:43:23.4132636Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float16 PASSED [0.0063s] [ 47%] 2024-08-20T21:43:23.4133221Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float32 PASSED [0.0061s] [ 47%] 2024-08-20T21:43:23.4133795Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float64 PASSED [0.0063s] [ 47%] 2024-08-20T21:43:23.4134368Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int16 PASSED [0.0061s] [ 47%] 2024-08-20T21:43:23.4134925Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int32 PASSED [0.0061s] [ 47%] 2024-08-20T21:43:23.4135484Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int64 PASSED [0.0063s] [ 47%] 2024-08-20T21:43:23.4136050Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int8 PASSED [0.0062s] [ 48%] 2024-08-20T21:43:23.4136648Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_uint8 PASSED [0.0063s] [ 48%] 2024-08-20T21:43:23.4137321Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bfloat16 PASSED [0.0072s] [ 48%] 2024-08-20T21:43:23.4137951Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bool PASSED [0.0073s] [ 48%] 2024-08-20T21:43:23.4138620Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex128 PASSED [0.0071s] [ 48%] 2024-08-20T21:43:23.4139295Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex64 PASSED [0.0073s] [ 48%] 2024-08-20T21:43:23.4139993Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float16 PASSED [0.0071s] [ 48%] 2024-08-20T21:43:23.4140645Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float32 PASSED [0.0072s] [ 48%] 2024-08-20T21:43:23.4141399Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float64 PASSED [0.0071s] [ 48%] 2024-08-20T21:43:23.4142042Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int16 PASSED [0.0070s] [ 48%] 2024-08-20T21:43:23.4142742Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int32 PASSED [0.0075s] [ 48%] 2024-08-20T21:43:23.4143378Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int64 PASSED [0.0070s] [ 49%] 2024-08-20T21:43:23.4144012Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int8 PASSED [0.0072s] [ 49%] 2024-08-20T21:43:23.4144661Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_uint8 PASSED [0.0070s] [ 49%] 2024-08-20T21:43:23.4145263Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bfloat16 PASSED [0.0102s] [ 49%] 2024-08-20T21:43:23.4145853Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bool PASSED [0.0099s] [ 49%] 2024-08-20T21:43:23.4146468Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex128 PASSED [0.0102s] [ 49%] 2024-08-20T21:43:23.4147077Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex64 PASSED [0.0100s] [ 49%] 2024-08-20T21:43:23.4147680Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float16 PASSED [0.0101s] [ 49%] 2024-08-20T21:43:23.4148277Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float32 PASSED [0.0099s] [ 49%] 2024-08-20T21:43:23.4148874Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float64 PASSED [0.0099s] [ 49%] 2024-08-20T21:43:23.4149456Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int16 PASSED [0.0101s] [ 50%] 2024-08-20T21:43:23.4150068Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int32 PASSED [0.0099s] [ 50%] 2024-08-20T21:43:23.4150660Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int64 PASSED [0.0101s] [ 50%] 2024-08-20T21:43:23.4151238Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int8 PASSED [0.0099s] [ 50%] 2024-08-20T21:43:23.4151817Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_uint8 PASSED [0.0101s] [ 50%] 2024-08-20T21:43:23.4152422Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bfloat16 PASSED [0.0052s] [ 50%] 2024-08-20T21:43:23.4152991Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bool PASSED [0.0053s] [ 50%] 2024-08-20T21:43:23.4153640Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex128 PASSED [0.0051s] [ 50%] 2024-08-20T21:43:23.4154245Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex64 PASSED [0.0051s] [ 50%] 2024-08-20T21:43:23.4154829Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float16 PASSED [0.0052s] [ 50%] 2024-08-20T21:43:23.4155426Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float32 PASSED [0.0051s] [ 51%] 2024-08-20T21:43:23.4156013Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float64 PASSED [0.0056s] [ 51%] 2024-08-20T21:43:23.4156603Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int16 PASSED [0.0051s] [ 51%] 2024-08-20T21:43:23.4157211Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int32 PASSED [0.0053s] [ 51%] 2024-08-20T21:43:23.4157785Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int64 PASSED [0.0051s] [ 51%] 2024-08-20T21:43:23.4158367Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int8 PASSED [0.0053s] [ 51%] 2024-08-20T21:43:23.4158941Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_uint8 PASSED [0.0051s] [ 51%] 2024-08-20T21:43:23.4159555Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bfloat16 PASSED [0.0053s] [ 51%] 2024-08-20T21:43:23.4160159Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bool PASSED [0.0052s] [ 51%] 2024-08-20T21:43:23.4160769Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex128 PASSED [0.0051s] [ 51%] 2024-08-20T21:43:23.4161389Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex64 PASSED [0.0053s] [ 51%] 2024-08-20T21:43:23.4161979Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float16 PASSED [0.0051s] [ 52%] 2024-08-20T21:43:23.4162567Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float32 PASSED [0.0053s] [ 52%] 2024-08-20T21:43:23.4163163Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float64 PASSED [0.0051s] [ 52%] 2024-08-20T21:43:23.4163740Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int16 PASSED [0.0053s] [ 52%] 2024-08-20T21:43:23.4164338Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int32 PASSED [0.0051s] [ 52%] 2024-08-20T21:43:23.4164915Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int64 PASSED [0.0053s] [ 52%] 2024-08-20T21:43:23.4165489Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int8 PASSED [0.0051s] [ 52%] 2024-08-20T21:43:23.4166077Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_uint8 PASSED [0.0053s] [ 52%] 2024-08-20T21:43:23.4166729Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bfloat16 PASSED [0.0099s] [ 52%] 2024-08-20T21:43:23.4167393Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bool PASSED [0.0098s] [ 52%] 2024-08-20T21:43:23.4168048Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex128 PASSED [0.0101s] [ 53%] 2024-08-20T21:43:23.4168698Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex64 PASSED [0.0100s] [ 53%] 2024-08-20T21:43:23.4169346Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float16 PASSED [0.0105s] [ 53%] 2024-08-20T21:43:23.4169986Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float32 PASSED [0.0098s] [ 53%] 2024-08-20T21:43:23.4170635Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float64 PASSED [0.0101s] [ 53%] 2024-08-20T21:43:23.4171293Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int16 PASSED [0.0098s] [ 53%] 2024-08-20T21:43:23.4171924Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int32 PASSED [0.0100s] [ 53%] 2024-08-20T21:43:23.4172557Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int64 PASSED [0.0098s] [ 53%] 2024-08-20T21:43:23.4173179Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int8 PASSED [0.0100s] [ 53%] 2024-08-20T21:43:23.4173803Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_uint8 PASSED [0.0098s] [ 53%] 2024-08-20T21:43:23.4174471Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_bfloat16 PASSED [0.0056s] [ 53%] 2024-08-20T21:43:23.4175115Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex128 PASSED [0.0059s] [ 54%] 2024-08-20T21:43:23.4175765Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex64 PASSED [0.0056s] [ 54%] 2024-08-20T21:43:23.4176387Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float16 PASSED [0.0058s] [ 54%] 2024-08-20T21:43:23.4177050Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float32 PASSED [0.0057s] [ 54%] 2024-08-20T21:43:23.4177682Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float64 PASSED [0.0058s] [ 54%] 2024-08-20T21:43:23.4178291Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int16 PASSED [0.0056s] [ 54%] 2024-08-20T21:43:23.4178911Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int32 PASSED [0.0059s] [ 54%] 2024-08-20T21:43:23.4179514Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int64 PASSED [0.0056s] [ 54%] 2024-08-20T21:43:23.4180120Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int8 PASSED [0.0058s] [ 54%] 2024-08-20T21:43:23.4180735Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_uint8 PASSED [0.0057s] [ 54%] 2024-08-20T21:43:23.4181410Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bfloat16 PASSED [0.0321s] [ 55%] 2024-08-20T21:43:23.4182000Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bool PASSED [0.0325s] [ 55%] 2024-08-20T21:43:23.4182608Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex128 PASSED [0.0330s] [ 55%] 2024-08-20T21:43:23.4183211Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex64 PASSED [0.0335s] [ 55%] 2024-08-20T21:43:23.4183817Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float16 PASSED [0.0325s] [ 55%] 2024-08-20T21:43:23.4184439Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float32 PASSED [0.0330s] [ 55%] 2024-08-20T21:43:23.4185020Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float64 PASSED [0.0325s] [ 55%] 2024-08-20T21:43:23.4185617Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int16 PASSED [0.0325s] [ 55%] 2024-08-20T21:43:23.4186200Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int32 PASSED [0.0323s] [ 55%] 2024-08-20T21:43:23.4186785Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int64 PASSED [0.0324s] [ 55%] 2024-08-20T21:43:23.4187357Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int8 PASSED [0.0328s] [ 56%] 2024-08-20T21:43:23.4187932Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_uint8 PASSED [0.0322s] [ 56%] 2024-08-20T21:43:23.4188755Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bfloat16 PASSED [0.0178s] [ 56%] 2024-08-20T21:43:23.4189331Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bool PASSED [0.0175s] [ 56%] 2024-08-20T21:43:23.4189944Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex128 PASSED [0.0181s] [ 56%] 2024-08-20T21:43:23.4190539Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex64 PASSED [0.0176s] [ 56%] 2024-08-20T21:43:23.4191118Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float16 PASSED [0.0176s] [ 56%] 2024-08-20T21:43:23.4191733Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float32 PASSED [0.0174s] [ 56%] 2024-08-20T21:43:23.4192316Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float64 PASSED [0.0174s] [ 56%] 2024-08-20T21:43:23.4192899Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int16 PASSED [0.0179s] [ 56%] 2024-08-20T21:43:23.4193468Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int32 PASSED [0.0175s] [ 56%] 2024-08-20T21:43:23.4194033Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int64 PASSED [0.0177s] [ 57%] 2024-08-20T21:43:23.4194644Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int8 PASSED [0.0176s] [ 57%] 2024-08-20T21:43:23.4195209Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_uint8 PASSED [0.0177s] [ 57%] 2024-08-20T21:43:23.4195840Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bfloat16 PASSED [0.0057s] [ 57%] 2024-08-20T21:43:23.4196455Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bool PASSED [0.0062s] [ 57%] 2024-08-20T21:43:23.4197095Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex128 PASSED [0.0057s] [ 57%] 2024-08-20T21:43:23.4197742Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex64 PASSED [0.0057s] [ 57%] 2024-08-20T21:43:23.4198360Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float16 PASSED [0.0058s] [ 57%] 2024-08-20T21:43:23.4198984Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float32 PASSED [0.0056s] [ 57%] 2024-08-20T21:43:23.4199613Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float64 PASSED [0.0058s] [ 57%] 2024-08-20T21:43:23.4200223Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int16 PASSED [0.0056s] [ 58%] 2024-08-20T21:43:23.4200838Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int32 PASSED [0.0059s] [ 58%] 2024-08-20T21:43:23.4201440Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int64 PASSED [0.0056s] [ 58%] 2024-08-20T21:43:23.4202073Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int8 PASSED [0.0058s] [ 58%] 2024-08-20T21:43:23.4202683Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_uint8 PASSED [0.0056s] [ 58%] 2024-08-20T21:43:23.4203283Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_bfloat16 PASSED [0.0120s] [ 58%] 2024-08-20T21:43:23.4203873Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float16 PASSED [0.0118s] [ 58%] 2024-08-20T21:43:23.4204471Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float32 PASSED [0.0118s] [ 58%] 2024-08-20T21:43:23.4205055Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float64 PASSED [0.0120s] [ 58%] 2024-08-20T21:43:23.4205684Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int16 PASSED [0.0120s] [ 58%] 2024-08-20T21:43:23.4206272Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int32 PASSED [0.0121s] [ 58%] 2024-08-20T21:43:23.4206853Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int64 PASSED [0.0118s] [ 59%] 2024-08-20T21:43:23.4207435Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int8 PASSED [0.0121s] [ 59%] 2024-08-20T21:43:23.4208016Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_uint8 PASSED [0.0118s] [ 59%] 2024-08-20T21:43:23.4208831Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bfloat16 PASSED [0.0092s] [ 59%] 2024-08-20T21:43:23.4209588Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bool PASSED [0.0088s] [ 59%] 2024-08-20T21:43:23.4210361Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float16 PASSED [0.0094s] [ 59%] 2024-08-20T21:43:23.4211144Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float32 PASSED [0.0088s] [ 59%] 2024-08-20T21:43:23.4211937Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float64 PASSED [0.0088s] [ 59%] 2024-08-20T21:43:23.4212704Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int16 PASSED [0.0089s] [ 59%] 2024-08-20T21:43:23.4213463Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int32 PASSED [0.0088s] [ 59%] 2024-08-20T21:43:23.4214224Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int64 PASSED [0.0090s] [ 60%] 2024-08-20T21:43:23.4214992Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int8 PASSED [0.0088s] [ 60%] 2024-08-20T21:43:23.4215748Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_uint8 PASSED [0.0090s] [ 60%] 2024-08-20T21:43:23.4216383Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex128 PASSED [0.0051s] [ 60%] 2024-08-20T21:43:23.4216999Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex64 PASSED [0.0053s] [ 60%] 2024-08-20T21:43:23.4217600Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float32 PASSED [0.0051s] [ 60%] 2024-08-20T21:43:23.4218205Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float64 PASSED [0.0051s] [ 60%] 2024-08-20T21:43:23.4218792Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int16 PASSED [0.0053s] [ 60%] 2024-08-20T21:43:23.4219422Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int32 PASSED [0.0051s] [ 60%] 2024-08-20T21:43:23.4220002Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int64 PASSED [0.0053s] [ 60%] 2024-08-20T21:43:23.4220586Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int8 PASSED [0.0051s] [ 61%] 2024-08-20T21:43:23.4221261Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_uint8 PASSED [0.0053s] [ 61%] 2024-08-20T21:43:23.4221899Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bfloat16 PASSED [0.0088s] [ 61%] 2024-08-20T21:43:23.4222506Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bool PASSED [0.0089s] [ 61%] 2024-08-20T21:43:23.4223198Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex128 PASSED [0.0088s] [ 61%] 2024-08-20T21:43:23.4223838Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex32 PASSED [0.0090s] [ 61%] 2024-08-20T21:43:23.4224492Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex64 PASSED [0.0088s] [ 61%] 2024-08-20T21:43:23.4225121Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float16 PASSED [0.0087s] [ 61%] 2024-08-20T21:43:23.4225934Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float32 PASSED [0.0089s] [ 61%] 2024-08-20T21:43:23.4226655Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float64 PASSED [0.0087s] [ 61%] 2024-08-20T21:43:23.4227269Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int16 PASSED [0.0090s] [ 61%] 2024-08-20T21:43:23.4227889Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int32 PASSED [0.0087s] [ 62%] 2024-08-20T21:43:23.4228494Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int64 PASSED [0.0089s] [ 62%] 2024-08-20T21:43:23.4229095Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int8 PASSED [0.0087s] [ 62%] 2024-08-20T21:43:23.4229750Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_uint8 PASSED [0.0089s] [ 62%] 2024-08-20T21:43:23.4230375Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_bfloat16 PASSED [0.0094s] [ 62%] 2024-08-20T21:43:23.4231030Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex128 PASSED [0.0096s] [ 62%] 2024-08-20T21:43:23.4231667Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex64 PASSED [0.0095s] [ 62%] 2024-08-20T21:43:23.4232289Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float16 PASSED [0.0094s] [ 62%] 2024-08-20T21:43:23.4232927Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float32 PASSED [0.0095s] [ 62%] 2024-08-20T21:43:23.4233546Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float64 PASSED [0.0093s] [ 62%] 2024-08-20T21:43:23.4234171Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int16 PASSED [0.0096s] [ 63%] 2024-08-20T21:43:23.4234773Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int32 PASSED [0.0093s] [ 63%] 2024-08-20T21:43:23.4235377Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int64 PASSED [0.0095s] [ 63%] 2024-08-20T21:43:23.4235992Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int8 PASSED [0.0094s] [ 63%] 2024-08-20T21:43:23.4236594Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_uint8 PASSED [0.0096s] [ 63%] 2024-08-20T21:43:23.4237236Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_bfloat16 PASSED [0.0093s] [ 63%] 2024-08-20T21:43:23.4237861Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex128 PASSED [0.0096s] [ 63%] 2024-08-20T21:43:23.4238466Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex64 PASSED [0.0095s] [ 63%] 2024-08-20T21:43:23.4239072Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float16 PASSED [0.0094s] [ 63%] 2024-08-20T21:43:23.4239667Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float32 PASSED [0.0095s] [ 63%] 2024-08-20T21:43:23.4240253Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float64 PASSED [0.0094s] [ 64%] 2024-08-20T21:43:23.4240885Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int16 PASSED [0.0097s] [ 64%] 2024-08-20T21:43:23.4241478Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int32 PASSED [0.0093s] [ 64%] 2024-08-20T21:43:23.4242073Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int64 PASSED [0.0096s] [ 64%] 2024-08-20T21:43:23.4242655Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int8 PASSED [0.0093s] [ 64%] 2024-08-20T21:43:23.4243240Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_uint8 PASSED [0.0096s] [ 64%] 2024-08-20T21:43:23.4243977Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex128 PASSED [0.0139s] [ 64%] 2024-08-20T21:43:23.4244659Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex64 PASSED [0.0139s] [ 64%] 2024-08-20T21:43:23.4245339Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float32 PASSED [0.0136s] [ 64%] 2024-08-20T21:43:23.4246004Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float64 PASSED [0.0132s] [ 64%] 2024-08-20T21:43:23.4246600Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bfloat16 PASSED [0.0090s] [ 64%] 2024-08-20T21:43:23.4247217Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bool PASSED [0.0087s] [ 65%] 2024-08-20T21:43:23.4247828Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex128 PASSED [0.0090s] [ 65%] 2024-08-20T21:43:23.4248434Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex32 PASSED [0.0088s] [ 65%] 2024-08-20T21:43:23.4249044Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex64 PASSED [0.0090s] [ 65%] 2024-08-20T21:43:23.4249634Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float16 PASSED [0.0088s] [ 65%] 2024-08-20T21:43:23.4250231Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float32 PASSED [0.0089s] [ 65%] 2024-08-20T21:43:23.4250811Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float64 PASSED [0.0087s] [ 65%] 2024-08-20T21:43:23.4251391Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int16 PASSED [0.0087s] [ 65%] 2024-08-20T21:43:23.4251983Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int32 PASSED [0.0093s] [ 65%] 2024-08-20T21:43:23.4252565Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int64 PASSED [0.0087s] [ 65%] 2024-08-20T21:43:23.4253149Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int8 PASSED [0.0089s] [ 66%] 2024-08-20T21:43:23.4253727Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_uint8 PASSED [0.0087s] [ 66%] 2024-08-20T21:43:23.4254391Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int32 PASSED [0.0212s] [ 66%] 2024-08-20T21:43:23.4255028Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int64 PASSED [0.0201s] [ 66%] 2024-08-20T21:43:23.4255628Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bfloat16 PASSED [0.0088s] [ 66%] 2024-08-20T21:43:23.4256212Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bool PASSED [0.0090s] [ 66%] 2024-08-20T21:43:23.4256824Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex128 PASSED [0.0089s] [ 66%] 2024-08-20T21:43:23.4257429Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex32 PASSED [0.0091s] [ 66%] 2024-08-20T21:43:23.4258066Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex64 PASSED [0.0089s] [ 66%] 2024-08-20T21:43:23.4258655Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float16 PASSED [0.0090s] [ 66%] 2024-08-20T21:43:23.4259238Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float32 PASSED [0.0087s] [ 66%] 2024-08-20T21:43:23.4259836Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float64 PASSED [0.0090s] [ 67%] 2024-08-20T21:43:23.4260412Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int16 PASSED [0.0087s] [ 67%] 2024-08-20T21:43:23.4261106Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int32 PASSED [0.0089s] [ 67%] 2024-08-20T21:43:23.4261696Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int64 PASSED [0.0088s] [ 67%] 2024-08-20T21:43:23.4262271Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int8 PASSED [0.0087s] [ 67%] 2024-08-20T21:43:23.4262865Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_uint8 PASSED [0.0092s] [ 67%] 2024-08-20T21:43:23.4263490Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int32 PASSED [0.0203s] [ 67%] 2024-08-20T21:43:23.4264163Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int64 PASSED [0.0199s] [ 67%] 2024-08-20T21:43:23.4264803Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bfloat16 PASSED [0.0106s] [ 67%] 2024-08-20T21:43:23.4265423Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bool PASSED [0.0102s] [ 67%] 2024-08-20T21:43:23.4266087Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex128 PASSED [0.0104s] [ 68%] 2024-08-20T21:43:23.4266731Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex64 PASSED [0.0105s] [ 68%] 2024-08-20T21:43:23.4267379Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float16 PASSED [0.0101s] [ 68%] 2024-08-20T21:43:23.4268008Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float32 PASSED [0.0104s] [ 68%] 2024-08-20T21:43:23.4268641Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float64 PASSED [0.0102s] [ 68%] 2024-08-20T21:43:23.4269277Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int16 PASSED [0.0104s] [ 68%] 2024-08-20T21:43:23.4269899Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int32 PASSED [0.0101s] [ 68%] 2024-08-20T21:43:23.4270515Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int64 PASSED [0.0102s] [ 68%] 2024-08-20T21:43:23.4271141Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int8 PASSED [0.0101s] [ 68%] 2024-08-20T21:43:23.4271796Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_uint8 PASSED [0.0103s] [ 68%] 2024-08-20T21:43:23.4272418Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_bfloat16 PASSED [0.0051s] [ 69%] 2024-08-20T21:43:23.4273016Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float16 PASSED [0.0051s] [ 69%] 2024-08-20T21:43:23.4273609Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float32 PASSED [0.0052s] [ 69%] 2024-08-20T21:43:23.4274217Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float64 PASSED [0.0051s] [ 69%] 2024-08-20T21:43:23.4274799Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int16 PASSED [0.0053s] [ 69%] 2024-08-20T21:43:23.4275420Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int32 PASSED [0.0051s] [ 69%] 2024-08-20T21:43:23.4276006Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int64 PASSED [0.0056s] [ 69%] 2024-08-20T21:43:23.4276583Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int8 PASSED [0.0051s] [ 69%] 2024-08-20T21:43:23.4277180Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_uint8 PASSED [0.0053s] [ 69%] 2024-08-20T21:43:23.4277792Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bfloat16 PASSED [0.0077s] [ 69%] 2024-08-20T21:43:23.4278411Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bool PASSED [0.0078s] [ 69%] 2024-08-20T21:43:23.4279035Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex128 PASSED [0.0078s] [ 70%] 2024-08-20T21:43:23.4279651Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex32 PASSED [0.0077s] [ 70%] 2024-08-20T21:43:23.4284880Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex64 PASSED [0.0079s] [ 70%] 2024-08-20T21:43:23.4285506Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float16 PASSED [0.0077s] [ 70%] 2024-08-20T21:43:23.4286202Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float32 PASSED [0.0079s] [ 70%] 2024-08-20T21:43:23.4286806Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float64 PASSED [0.0077s] [ 70%] 2024-08-20T21:43:23.4287406Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int16 PASSED [0.0079s] [ 70%] 2024-08-20T21:43:23.4288013Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int32 PASSED [0.0077s] [ 70%] 2024-08-20T21:43:23.4288861Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int64 PASSED [0.0079s] [ 70%] 2024-08-20T21:43:23.4289472Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int8 PASSED [0.0077s] [ 70%] 2024-08-20T21:43:23.4290070Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_uint8 PASSED [0.0079s] [ 71%] 2024-08-20T21:43:23.4290706Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bfloat16 PASSED [0.0098s] [ 71%] 2024-08-20T21:43:23.4291335Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bool PASSED [0.0097s] [ 71%] 2024-08-20T21:43:23.4291988Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex128 PASSED [0.0099s] [ 71%] 2024-08-20T21:43:23.4292647Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex32 PASSED [0.0099s] [ 71%] 2024-08-20T21:43:23.4293294Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex64 PASSED [0.0101s] [ 71%] 2024-08-20T21:43:23.4293969Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float16 PASSED [0.0097s] [ 71%] 2024-08-20T21:43:23.4294615Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float32 PASSED [0.0105s] [ 71%] 2024-08-20T21:43:23.4295244Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float64 PASSED [0.0098s] [ 71%] 2024-08-20T21:43:23.4295858Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int16 PASSED [0.0101s] [ 71%] 2024-08-20T21:43:23.4296482Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int32 PASSED [0.0098s] [ 71%] 2024-08-20T21:43:23.4297087Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int64 PASSED [0.0099s] [ 72%] 2024-08-20T21:43:23.4297741Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int8 PASSED [0.0098s] [ 72%] 2024-08-20T21:43:23.4298353Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_uint8 PASSED [0.0098s] [ 72%] 2024-08-20T21:43:23.4298993Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bfloat16 PASSED [0.0163s] [ 72%] 2024-08-20T21:43:23.4299625Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bool PASSED [0.0160s] [ 72%] 2024-08-20T21:43:23.4300286Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex128 PASSED [0.0167s] [ 72%] 2024-08-20T21:43:23.4301063Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex32 PASSED [0.0164s] [ 72%] 2024-08-20T21:43:23.4301729Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex64 PASSED [0.0166s] [ 72%] 2024-08-20T21:43:23.4302368Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float16 PASSED [0.0161s] [ 72%] 2024-08-20T21:43:23.4303022Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float32 PASSED [0.0163s] [ 72%] 2024-08-20T21:43:23.4303656Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float64 PASSED [0.0161s] [ 73%] 2024-08-20T21:43:23.4304327Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int16 PASSED [0.0161s] [ 73%] 2024-08-20T21:43:23.4304950Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int32 PASSED [0.0163s] [ 73%] 2024-08-20T21:43:23.4305575Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int64 PASSED [0.0161s] [ 73%] 2024-08-20T21:43:23.4306211Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int8 PASSED [0.0165s] [ 73%] 2024-08-20T21:43:23.4306837Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_uint8 PASSED [0.0161s] [ 73%] 2024-08-20T21:43:23.4307464Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bfloat16 PASSED [0.0165s] [ 73%] 2024-08-20T21:43:23.4308057Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bool PASSED [0.0160s] [ 73%] 2024-08-20T21:43:23.4308682Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex128 PASSED [0.0171s] [ 73%] 2024-08-20T21:43:23.4309319Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex32 PASSED [0.0162s] [ 73%] 2024-08-20T21:43:23.4309943Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex64 PASSED [0.0166s] [ 74%] 2024-08-20T21:43:23.4310557Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float16 PASSED [0.0162s] [ 74%] 2024-08-20T21:43:23.4311209Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float32 PASSED [0.0161s] [ 74%] 2024-08-20T21:43:23.4311808Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float64 PASSED [0.0165s] [ 74%] 2024-08-20T21:43:23.4312418Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int16 PASSED [0.0164s] [ 74%] 2024-08-20T21:43:23.4313010Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int32 PASSED [0.0166s] [ 74%] 2024-08-20T21:43:23.4313600Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int64 PASSED [0.0162s] [ 74%] 2024-08-20T21:43:23.4314209Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int8 PASSED [0.0164s] [ 74%] 2024-08-20T21:43:23.4314842Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_uint8 PASSED [0.0161s] [ 74%] 2024-08-20T21:43:23.4315485Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_bfloat16 PASSED [0.0064s] [ 74%] 2024-08-20T21:43:23.4316122Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex128 PASSED [0.0063s] [ 74%] 2024-08-20T21:43:23.4316748Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex64 PASSED [0.0064s] [ 75%] 2024-08-20T21:43:23.4317378Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float16 PASSED [0.0062s] [ 75%] 2024-08-20T21:43:23.4317985Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float32 PASSED [0.0062s] [ 75%] 2024-08-20T21:43:23.4318634Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float64 PASSED [0.0063s] [ 75%] 2024-08-20T21:43:23.4319331Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bfloat16 PASSED [0.1446s] [ 75%] 2024-08-20T21:43:23.4320001Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bool PASSED [0.1427s] [ 75%] 2024-08-20T21:43:23.4320695Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float16 PASSED [0.1452s] [ 75%] 2024-08-20T21:43:23.4321405Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float32 PASSED [0.1460s] [ 75%] 2024-08-20T21:43:23.4322085Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float64 PASSED [0.1454s] [ 75%] 2024-08-20T21:43:23.4322771Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int16 PASSED [0.1454s] [ 75%] 2024-08-20T21:43:23.4323433Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int32 PASSED [0.1451s] [ 76%] 2024-08-20T21:43:23.4324115Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int64 PASSED [0.1442s] [ 76%] 2024-08-20T21:43:23.4324779Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int8 PASSED [0.1448s] [ 76%] 2024-08-20T21:43:23.4325446Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_uint8 PASSED [0.1448s] [ 76%] 2024-08-20T21:43:23.4326267Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bfloat16 PASSED [0.2810s] [ 76%] 2024-08-20T21:43:23.4326864Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bool PASSED [0.2766s] [ 76%] 2024-08-20T21:43:23.4327484Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float16 PASSED [0.2782s] [ 76%] 2024-08-20T21:43:23.4328087Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float32 PASSED [0.2804s] [ 76%] 2024-08-20T21:43:23.4328690Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float64 PASSED [0.2779s] [ 76%] 2024-08-20T21:43:23.4329364Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int16 PASSED [0.2788s] [ 76%] 2024-08-20T21:43:23.4329954Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int32 PASSED [0.2775s] [ 76%] 2024-08-20T21:43:23.4330554Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int64 PASSED [0.2761s] [ 77%] 2024-08-20T21:43:23.4331140Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int8 PASSED [0.2769s] [ 77%] 2024-08-20T21:43:23.4331746Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint16 PASSED [0.2764s] [ 77%] 2024-08-20T21:43:23.4332359Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint32 PASSED [0.2801s] [ 77%] 2024-08-20T21:43:23.4332991Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint64 PASSED [0.2781s] [ 77%] 2024-08-20T21:43:23.4333608Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint8 PASSED [0.2771s] [ 77%] 2024-08-20T21:43:23.4334251Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int16 PASSED [0.0128s] [ 77%] 2024-08-20T21:43:23.4334890Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int32 PASSED [0.0123s] [ 77%] 2024-08-20T21:43:23.4335540Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int64 PASSED [0.0129s] [ 77%] 2024-08-20T21:43:23.4336208Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int8 PASSED [0.0122s] [ 77%] 2024-08-20T21:43:23.4336854Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_uint8 PASSED [0.0125s] [ 78%] 2024-08-20T21:43:23.4337520Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bfloat16 PASSED [0.0062s] [ 78%] 2024-08-20T21:43:23.4338148Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bool PASSED [0.0062s] [ 78%] 2024-08-20T21:43:23.4338822Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex128 PASSED [0.0064s] [ 78%] 2024-08-20T21:43:23.4339517Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex32 PASSED [0.0062s] [ 78%] 2024-08-20T21:43:23.4340172Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex64 PASSED [0.0064s] [ 78%] 2024-08-20T21:43:23.4340831Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float16 PASSED [0.0062s] [ 78%] 2024-08-20T21:43:23.4341570Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float32 PASSED [0.0064s] [ 78%] 2024-08-20T21:43:23.4342228Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float64 PASSED [0.0062s] [ 78%] 2024-08-20T21:43:23.4342858Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int16 PASSED [0.0064s] [ 78%] 2024-08-20T21:43:23.4343491Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int32 PASSED [0.0061s] [ 79%] 2024-08-20T21:43:23.4344139Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int64 PASSED [0.0063s] [ 79%] 2024-08-20T21:43:23.4344765Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int8 PASSED [0.0061s] [ 79%] 2024-08-20T21:43:23.4345404Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_uint8 PASSED [0.0061s] [ 79%] 2024-08-20T21:43:23.4346054Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bfloat16 PASSED [0.0058s] [ 79%] 2024-08-20T21:43:23.4346711Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bool PASSED [0.0056s] [ 79%] 2024-08-20T21:43:23.4347387Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex128 PASSED [0.0058s] [ 79%] 2024-08-20T21:43:23.4348043Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex32 PASSED [0.0056s] [ 79%] 2024-08-20T21:43:23.4348712Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex64 PASSED [0.0058s] [ 79%] 2024-08-20T21:43:23.4349358Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float16 PASSED [0.0056s] [ 79%] 2024-08-20T21:43:23.4350004Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float32 PASSED [0.0062s] [ 79%] 2024-08-20T21:43:23.4350686Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float64 PASSED [0.0056s] [ 80%] 2024-08-20T21:43:23.4351320Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int16 PASSED [0.0058s] [ 80%] 2024-08-20T21:43:23.4351948Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int32 PASSED [0.0056s] [ 80%] 2024-08-20T21:43:23.4352592Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int64 PASSED [0.0056s] [ 80%] 2024-08-20T21:43:23.4353213Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int8 PASSED [0.0058s] [ 80%] 2024-08-20T21:43:23.4353883Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_uint8 PASSED [0.0056s] [ 80%] 2024-08-20T21:43:23.4354545Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bfloat16 PASSED [0.0095s] [ 80%] 2024-08-20T21:43:23.4355183Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bool PASSED [0.0092s] [ 80%] 2024-08-20T21:43:23.4355877Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex128 PASSED [0.0096s] [ 80%] 2024-08-20T21:43:23.4356542Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex32 PASSED [0.0093s] [ 80%] 2024-08-20T21:43:23.4357254Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex64 PASSED [0.0096s] [ 81%] 2024-08-20T21:43:23.4357907Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float16 PASSED [0.0092s] [ 81%] 2024-08-20T21:43:23.4358561Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float32 PASSED [0.0094s] [ 81%] 2024-08-20T21:43:23.4359229Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float64 PASSED [0.0092s] [ 81%] 2024-08-20T21:43:23.4359875Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int16 PASSED [0.0092s] [ 81%] 2024-08-20T21:43:23.4360532Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int32 PASSED [0.0094s] [ 81%] 2024-08-20T21:43:23.4361178Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int64 PASSED [0.0092s] [ 81%] 2024-08-20T21:43:23.4361817Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int8 PASSED [0.0094s] [ 81%] 2024-08-20T21:43:23.4362475Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_uint8 PASSED [0.0093s] [ 81%] 2024-08-20T21:43:23.4363106Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bfloat16 PASSED [0.0095s] [ 81%] 2024-08-20T21:43:23.4363733Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bool PASSED [0.0092s] [ 82%] 2024-08-20T21:43:23.4364407Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex128 PASSED [0.0100s] [ 82%] 2024-08-20T21:43:23.4365049Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex32 PASSED [0.0093s] [ 82%] 2024-08-20T21:43:23.4365707Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex64 PASSED [0.0095s] [ 82%] 2024-08-20T21:43:23.4366331Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float16 PASSED [0.0092s] [ 82%] 2024-08-20T21:43:23.4366955Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float32 PASSED [0.0092s] [ 82%] 2024-08-20T21:43:23.4367590Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float64 PASSED [0.0094s] [ 82%] 2024-08-20T21:43:23.4368235Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int16 PASSED [0.0092s] [ 82%] 2024-08-20T21:43:23.4368865Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int32 PASSED [0.0094s] [ 82%] 2024-08-20T21:43:23.4369473Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int64 PASSED [0.0093s] [ 82%] 2024-08-20T21:43:23.4370086Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int8 PASSED [0.0095s] [ 82%] 2024-08-20T21:43:23.4370710Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_uint8 PASSED [0.0093s] [ 83%] 2024-08-20T21:43:23.4371335Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_bfloat16 PASSED [0.0106s] [ 83%] 2024-08-20T21:43:23.4371958Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex128 PASSED [0.0105s] [ 83%] 2024-08-20T21:43:23.4372564Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex64 PASSED [0.0106s] [ 83%] 2024-08-20T21:43:23.4373157Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float16 PASSED [0.0104s] [ 83%] 2024-08-20T21:43:23.4373756Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float32 PASSED [0.0103s] [ 83%] 2024-08-20T21:43:23.4374373Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float64 PASSED [0.0105s] [ 83%] 2024-08-20T21:43:23.4375013Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_bfloat16 PASSED [0.0103s] [ 83%] 2024-08-20T21:43:23.4375654Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex128 PASSED [0.0107s] [ 83%] 2024-08-20T21:43:23.4376283Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex64 PASSED [0.0104s] [ 83%] 2024-08-20T21:43:23.4376916Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float16 PASSED [0.0106s] [ 84%] 2024-08-20T21:43:23.4377532Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float32 PASSED [0.0103s] [ 84%] 2024-08-20T21:43:23.4378148Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float64 PASSED [0.0110s] [ 84%] 2024-08-20T21:43:23.4378844Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_bfloat16 PASSED [0.0056s] [ 84%] 2024-08-20T21:43:23.4379532Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex128 PASSED [0.0058s] [ 84%] 2024-08-20T21:43:23.4380234Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex64 PASSED [0.0056s] [ 84%] 2024-08-20T21:43:23.4380979Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float16 PASSED [0.0056s] [ 84%] 2024-08-20T21:43:23.4381707Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float32 PASSED [0.0058s] [ 84%] 2024-08-20T21:43:23.4382389Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float64 PASSED [0.0056s] [ 84%] 2024-08-20T21:43:23.4383043Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_bfloat16 PASSED [0.0058s] [ 84%] 2024-08-20T21:43:23.4383720Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex128 PASSED [0.0057s] [ 84%] 2024-08-20T21:43:23.4384378Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex64 PASSED [0.0059s] [ 85%] 2024-08-20T21:43:23.4385023Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float16 PASSED [0.0056s] [ 85%] 2024-08-20T21:43:23.4385706Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float32 PASSED [0.0058s] [ 85%] 2024-08-20T21:43:23.4386351Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float64 PASSED [0.0057s] [ 85%] 2024-08-20T21:43:23.4386966Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_bfloat16 PASSED [0.0053s] [ 85%] 2024-08-20T21:43:23.4387580Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex128 PASSED [0.0058s] [ 85%] 2024-08-20T21:43:23.4388389Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex64 PASSED [0.0057s] [ 85%] 2024-08-20T21:43:23.4389042Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float16 PASSED [0.0053s] [ 85%] 2024-08-20T21:43:23.4389640Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float32 PASSED [0.0051s] [ 85%] 2024-08-20T21:43:23.4390242Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float64 PASSED [0.0053s] [ 85%] 2024-08-20T21:43:23.4390829Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int16 PASSED [0.0051s] [ 86%] 2024-08-20T21:43:23.4391413Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int32 PASSED [0.0053s] [ 86%] 2024-08-20T21:43:23.4392044Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int64 PASSED [0.0051s] [ 86%] 2024-08-20T21:43:23.4392623Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int8 PASSED [0.0057s] [ 86%] 2024-08-20T21:43:23.4393206Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_uint8 PASSED [0.0051s] [ 86%] 2024-08-20T21:43:23.4393878Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float16 PASSED [0.0053s] [ 86%] 2024-08-20T21:43:23.4394537Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float32 PASSED [0.0051s] [ 86%] 2024-08-20T21:43:23.4395200Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float64 PASSED [0.0051s] [ 86%] 2024-08-20T21:43:23.4395818Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bfloat16 PASSED [0.0069s] [ 86%] 2024-08-20T21:43:23.4396419Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bool PASSED [0.0067s] [ 86%] 2024-08-20T21:43:23.4397063Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex128 PASSED [0.0071s] [ 87%] 2024-08-20T21:43:23.4397687Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex32 PASSED [0.0069s] [ 87%] 2024-08-20T21:43:23.4398325Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex64 PASSED [0.0071s] [ 87%] 2024-08-20T21:43:23.4398938Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float16 PASSED [0.0068s] [ 87%] 2024-08-20T21:43:23.4399574Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float32 PASSED [0.0070s] [ 87%] 2024-08-20T21:43:23.4400190Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float64 PASSED [0.0068s] [ 87%] 2024-08-20T21:43:23.4400787Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int16 PASSED [0.0069s] [ 87%] 2024-08-20T21:43:23.4401393Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int32 PASSED [0.0068s] [ 87%] 2024-08-20T21:43:23.4401983Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int64 PASSED [0.0067s] [ 87%] 2024-08-20T21:43:23.4402574Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int8 PASSED [0.0069s] [ 87%] 2024-08-20T21:43:23.4403207Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_uint8 PASSED [0.0067s] [ 87%] 2024-08-20T21:43:23.4403864Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex128 PASSED [0.0058s] [ 88%] 2024-08-20T21:43:23.4404515Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex64 PASSED [0.0056s] [ 88%] 2024-08-20T21:43:23.4405161Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bfloat16 PASSED [0.0084s] [ 88%] 2024-08-20T21:43:23.4405770Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bool PASSED [0.0082s] [ 88%] 2024-08-20T21:43:23.4406454Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex128 PASSED [0.0089s] [ 88%] 2024-08-20T21:43:23.4407099Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex64 PASSED [0.0083s] [ 88%] 2024-08-20T21:43:23.4407723Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float16 PASSED [0.0084s] [ 88%] 2024-08-20T21:43:23.4408364Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float32 PASSED [0.0082s] [ 88%] 2024-08-20T21:43:23.4408982Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float64 PASSED [0.0082s] [ 88%] 2024-08-20T21:43:23.4409662Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int16 PASSED [0.0085s] [ 88%] 2024-08-20T21:43:23.4410267Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int32 PASSED [0.0083s] [ 89%] 2024-08-20T21:43:23.4410876Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int64 PASSED [0.0085s] [ 89%] 2024-08-20T21:43:23.4411496Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int8 PASSED [0.0083s] [ 89%] 2024-08-20T21:43:23.4412108Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_uint8 PASSED [0.0085s] [ 89%] 2024-08-20T21:43:23.4412723Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bfloat16 PASSED [0.0083s] [ 89%] 2024-08-20T21:43:23.4413301Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bool PASSED [0.0084s] [ 89%] 2024-08-20T21:43:23.4413918Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex128 PASSED [0.0083s] [ 89%] 2024-08-20T21:43:23.4414538Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex32 PASSED [0.0085s] [ 89%] 2024-08-20T21:43:23.4415143Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex64 PASSED [0.0083s] [ 89%] 2024-08-20T21:43:23.4415739Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float16 PASSED [0.0083s] [ 89%] 2024-08-20T21:43:23.4416343Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float32 PASSED [0.0084s] [ 89%] 2024-08-20T21:43:23.4416961Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float64 PASSED [0.0083s] [ 90%] 2024-08-20T21:43:23.4417557Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int16 PASSED [0.0084s] [ 90%] 2024-08-20T21:43:23.4418144Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int32 PASSED [0.0082s] [ 90%] 2024-08-20T21:43:23.4418727Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int64 PASSED [0.0084s] [ 90%] 2024-08-20T21:43:23.4419316Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int8 PASSED [0.0082s] [ 90%] 2024-08-20T21:43:23.4419897Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_uint8 PASSED [0.0089s] [ 90%] 2024-08-20T21:43:23.4420555Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bfloat16 PASSED [0.0057s] [ 90%] 2024-08-20T21:43:23.4421223Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bool PASSED [0.0058s] [ 90%] 2024-08-20T21:43:23.4421855Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex128 PASSED [0.0057s] [ 90%] 2024-08-20T21:43:23.4422492Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex32 PASSED [0.0056s] [ 90%] 2024-08-20T21:43:23.4423111Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex64 PASSED [0.0058s] [ 91%] 2024-08-20T21:43:23.4423770Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float16 PASSED [0.0056s] [ 91%] 2024-08-20T21:43:23.4424376Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float32 PASSED [0.0058s] [ 91%] 2024-08-20T21:43:23.4424978Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float64 PASSED [0.0056s] [ 91%] 2024-08-20T21:43:23.4425591Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int16 PASSED [0.0058s] [ 91%] 2024-08-20T21:43:23.4426387Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int32 PASSED [0.0056s] [ 91%] 2024-08-20T21:43:23.4427045Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int64 PASSED [0.0058s] [ 91%] 2024-08-20T21:43:23.4427647Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int8 PASSED [0.0056s] [ 91%] 2024-08-20T21:43:23.4428243Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_uint8 PASSED [0.0058s] [ 91%] 2024-08-20T21:43:23.4428871Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bfloat16 PASSED [0.0058s] [ 91%] 2024-08-20T21:43:23.4429460Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bool PASSED [0.0057s] [ 92%] 2024-08-20T21:43:23.4430090Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex128 PASSED [0.0059s] [ 92%] 2024-08-20T21:43:23.4430721Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex32 PASSED [0.0057s] [ 92%] 2024-08-20T21:43:23.4431342Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex64 PASSED [0.0059s] [ 92%] 2024-08-20T21:43:23.4431965Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float16 PASSED [0.0057s] [ 92%] 2024-08-20T21:43:23.4432566Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float32 PASSED [0.0059s] [ 92%] 2024-08-20T21:43:23.4433161Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float64 PASSED [0.0057s] [ 92%] 2024-08-20T21:43:23.4433772Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int16 PASSED [0.0063s] [ 92%] 2024-08-20T21:43:23.4434408Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int32 PASSED [0.0057s] [ 92%] 2024-08-20T21:43:23.4435010Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int64 PASSED [0.0059s] [ 92%] 2024-08-20T21:43:23.4435599Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int8 PASSED [0.0057s] [ 92%] 2024-08-20T21:43:23.4436192Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_uint8 PASSED [0.0057s] [ 93%] 2024-08-20T21:43:23.4436818Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bfloat16 PASSED [0.0085s] [ 93%] 2024-08-20T21:43:23.4437402Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bool PASSED [0.0080s] [ 93%] 2024-08-20T21:43:23.4438052Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex128 PASSED [0.0084s] [ 93%] 2024-08-20T21:43:23.4438688Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex32 PASSED [0.0082s] [ 93%] 2024-08-20T21:43:23.4439292Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex64 PASSED [0.0085s] [ 93%] 2024-08-20T21:43:23.4439913Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float16 PASSED [0.0081s] [ 93%] 2024-08-20T21:43:23.4440513Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float32 PASSED [0.0084s] [ 93%] 2024-08-20T21:43:23.4441139Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float64 PASSED [0.0081s] [ 93%] 2024-08-20T21:43:23.4441744Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int16 PASSED [0.0083s] [ 93%] 2024-08-20T21:43:23.4442334Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int32 PASSED [0.0081s] [ 94%] 2024-08-20T21:43:23.4442938Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int64 PASSED [0.0080s] [ 94%] 2024-08-20T21:43:23.4443519Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int8 PASSED [0.0082s] [ 94%] 2024-08-20T21:43:23.4444146Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_uint8 PASSED [0.0081s] [ 94%] 2024-08-20T21:43:23.4444767Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bfloat16 PASSED [0.0098s] [ 94%] 2024-08-20T21:43:23.4445353Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bool PASSED [0.0095s] [ 94%] 2024-08-20T21:43:23.4445958Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float16 PASSED [0.0098s] [ 94%] 2024-08-20T21:43:23.4446577Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float32 PASSED [0.0095s] [ 94%] 2024-08-20T21:43:23.4447175Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float64 PASSED [0.0102s] [ 94%] 2024-08-20T21:43:23.4447776Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int16 PASSED [0.0095s] [ 94%] 2024-08-20T21:43:23.4448366Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int32 PASSED [0.0097s] [ 94%] 2024-08-20T21:43:23.4448947Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int64 PASSED [0.0096s] [ 95%] 2024-08-20T21:43:23.4449546Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int8 PASSED [0.0095s] [ 95%] 2024-08-20T21:43:23.4450129Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_uint8 PASSED [0.0097s] [ 95%] 2024-08-20T21:43:23.4450753Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bfloat16 PASSED [0.0061s] [ 95%] 2024-08-20T21:43:23.4451371Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bool PASSED [0.0063s] [ 95%] 2024-08-20T21:43:23.4451990Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex128 PASSED [0.0062s] [ 95%] 2024-08-20T21:43:23.4452614Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex64 PASSED [0.0064s] [ 95%] 2024-08-20T21:43:23.4453216Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float16 PASSED [0.0062s] [ 95%] 2024-08-20T21:43:23.4453822Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float32 PASSED [0.0064s] [ 95%] 2024-08-20T21:43:23.4454429Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float64 PASSED [0.0062s] [ 95%] 2024-08-20T21:43:23.4455017Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int16 PASSED [0.0063s] [ 96%] 2024-08-20T21:43:23.4455644Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int32 PASSED [0.0061s] [ 96%] 2024-08-20T21:43:23.4456238Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int64 PASSED [0.0061s] [ 96%] 2024-08-20T21:43:23.4456816Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int8 PASSED [0.0063s] [ 96%] 2024-08-20T21:43:23.4457410Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_uint8 PASSED [0.0062s] [ 96%] 2024-08-20T21:43:23.4458016Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bfloat16 PASSED [0.0061s] [ 96%] 2024-08-20T21:43:23.4458643Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bool PASSED [0.0058s] [ 96%] 2024-08-20T21:43:23.4459268Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex128 PASSED [0.0059s] [ 96%] 2024-08-20T21:43:23.4459889Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex32 PASSED [0.0057s] [ 96%] 2024-08-20T21:43:23.4460517Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex64 PASSED [0.0063s] [ 96%] 2024-08-20T21:43:23.4461207Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float16 PASSED [0.0057s] [ 97%] 2024-08-20T21:43:23.4461860Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float32 PASSED [0.0059s] [ 97%] 2024-08-20T21:43:23.4462453Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float64 PASSED [0.0057s] [ 97%] 2024-08-20T21:43:23.4463039Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int16 PASSED [0.0057s] [ 97%] 2024-08-20T21:43:23.4463645Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int32 PASSED [0.0058s] [ 97%] 2024-08-20T21:43:23.4464233Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int64 PASSED [0.0057s] [ 97%] 2024-08-20T21:43:23.4464832Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int8 PASSED [0.0060s] [ 97%] 2024-08-20T21:43:23.4465420Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_uint8 PASSED [0.0057s] [ 97%] 2024-08-20T21:43:23.4466060Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bfloat16 PASSED [0.0085s] [ 97%] 2024-08-20T21:43:23.4466683Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bool PASSED [0.0082s] [ 97%] 2024-08-20T21:43:23.4467330Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex128 PASSED [0.0085s] [ 97%] 2024-08-20T21:43:23.4467976Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex32 PASSED [0.0083s] [ 98%] 2024-08-20T21:43:23.4468635Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex64 PASSED [0.0084s] [ 98%] 2024-08-20T21:43:23.4469293Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float16 PASSED [0.0083s] [ 98%] 2024-08-20T21:43:23.4469935Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float32 PASSED [0.0082s] [ 98%] 2024-08-20T21:43:23.4470562Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float64 PASSED [0.0084s] [ 98%] 2024-08-20T21:43:23.4471174Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int16 PASSED [0.0082s] [ 98%] 2024-08-20T21:43:23.4471805Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int32 PASSED [0.0084s] [ 98%] 2024-08-20T21:43:23.4472425Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int64 PASSED [0.0082s] [ 98%] 2024-08-20T21:43:23.4473076Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int8 PASSED [0.0084s] [ 98%] 2024-08-20T21:43:23.4473698Z test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_uint8 PASSED [0.0082s] [ 98%] 2024-08-20T21:43:23.4474243Z test_utils.py::TestDeviceUtilsCPU::test_get_default_device_cpu PASSED [0.0020s] [ 99%] 2024-08-20T21:43:23.4474996Z test_utils.py::TestDeviceUtilsCPU::test_get_default_device_more_cpu SKIPPED [0.0002s] (multi-GPU not supported) [ 99%] 2024-08-20T21:43:23.4475499Z test_utils.py::TestDeviceUtilsCPU::test_nn_module_cpu PASSED [0.0016s] [ 99%] 2024-08-20T21:43:23.4476089Z test_utils.py::TestDeviceUtilsCPU::test_set_default_device_cpu PASSED [0.0012s] [ 99%] 2024-08-20T21:43:23.4476624Z test_utils.py::TestCppExtensionUtils::test_cc_compiler_is_ok PASSED [0.0410s] [ 99%] 2024-08-20T21:43:23.4477163Z test_utils.py::TestCppExtensionUtils::test_cpp_compiler_is_ok PASSED [0.0216s] [ 99%] 2024-08-20T21:43:23.4477666Z test_utils.py::TestTraceback::test_basic PASSED [0.0020s] [ 99%] 2024-08-20T21:43:23.4478168Z test_utils.py::TestTraceback::test_captured_traceback PASSED [0.0014s] [ 99%] 2024-08-20T21:43:23.4478750Z test_utils.py::TestTraceback::test_captured_traceback_format_all PASSED [0.0016s] [ 99%] 2024-08-20T21:43:23.4479357Z test_utils.py::TestTraceback::test_captured_traceback_format_all_cached PASSED [0.0016s] [ 99%] 2024-08-20T21:43:23.4479869Z test_utils.py::TestTraceback::test_format_traceback_short PASSED [0.0013s] [100%] 2024-08-20T21:43:23.4479884Z 2024-08-20T21:43:23.4480655Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-497adb7c05a79e0a.xml - 2024-08-20T21:43:23.4481260Z ============== 982 passed, 57 skipped, 4908 deselected in 15.17s =============== 2024-08-20T21:43:23.4482332Z The following tests failed and then succeeded when run in a new process['test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float64'] 2024-08-20T21:43:23.4482355Z 2024-08-20T21:43:23.4482908Z FINISHED PRINTING LOG FILE of test_utils 1/1 (test/test-reports/test_utils_1.1_3b81c88ea6b5427a_.log) 2024-08-20T21:43:23.4482914Z 2024-08-20T21:43:23.4483156Z Running test_nn 1/1 ... [2024-08-20 21:43:22.363543] 2024-08-20T21:43:23.4483310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:43:23.4484655Z Executing ['/opt/conda/envs/py_3.12/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 21:43:22.363904] 2024-08-20T21:45:48.0876232Z 2024-08-20T21:45:48.0877545Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_71abc87b076a95d9_.log 2024-08-20T21:45:48.2554808Z 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 2024-08-20T21:45:48.4530277Z 2024-08-20T21:45:48.4530852Z Running inductor/test_torchinductor 2/4 ... [2024-08-20 21:45:48.091292] 2024-08-20T21:45:48.4531490Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:45:48.4533350Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor.py', '-m', 'serial', '--shard-id=2', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:45:48.091633] 2024-08-20T21:45:54.8661721Z 2024-08-20T21:45:54.8664088Z inductor/test_torchinductor 2/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_2.4_bdb1098ced1d7d6c_.log 2024-08-20T21:45:54.8666340Z Running 0 items in this shard: 2024-08-20T21:45:54.8666776Z 2024-08-20T21:45:54.8667518Z Running inductor/test_torchinductor_opinfo 5/39 ... [2024-08-20 21:45:54.866407] 2024-08-20T21:45:54.8668505Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:45:54.8672400Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=5', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:45:54.866846] 2024-08-20T21:46:02.6916574Z 2024-08-20T21:46:02.6918561Z inductor/test_torchinductor_opinfo 5/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_5.39_1b299b7cef4b064b_.log 2024-08-20T21:46:02.6919895Z Running 0 items in this shard: 2024-08-20T21:46:02.6920365Z 2024-08-20T21:46:02.6920976Z Running inductor/test_torchinductor_opinfo 6/39 ... [2024-08-20 21:46:02.691855] 2024-08-20T21:46:02.6921620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:46:02.6924933Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=6', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:46:02.692197] 2024-08-20T21:46:10.3670752Z 2024-08-20T21:46:10.3672522Z inductor/test_torchinductor_opinfo 6/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_6.39_129f6c661605ff93_.log 2024-08-20T21:46:10.3674053Z Running 0 items in this shard: 2024-08-20T21:46:10.3674381Z 2024-08-20T21:46:10.3674817Z Running inductor/test_torchinductor_opinfo 7/39 ... [2024-08-20 21:46:10.367251] 2024-08-20T21:46:10.3675472Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:46:10.3678971Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=7', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:46:10.367597] 2024-08-20T21:46:18.2926195Z 2024-08-20T21:46:18.2927933Z inductor/test_torchinductor_opinfo 7/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_7.39_8c3ddb79aa7f7873_.log 2024-08-20T21:46:18.2929741Z Running 0 items in this shard: 2024-08-20T21:46:18.2930031Z 2024-08-20T21:46:18.2930518Z Running inductor/test_torchinductor_opinfo 14/39 ... [2024-08-20 21:46:18.292769] 2024-08-20T21:46:18.2931180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:46:18.2934261Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=14', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:46:18.293109] 2024-08-20T21:46:26.4191114Z 2024-08-20T21:46:26.4193208Z inductor/test_torchinductor_opinfo 14/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_14.39_8e3fe9536d13e5fd_.log 2024-08-20T21:46:26.4194881Z Running 0 items in this shard: 2024-08-20T21:46:26.4195145Z 2024-08-20T21:46:26.4195638Z Running inductor/test_torchinductor_opinfo 15/39 ... [2024-08-20 21:46:26.419232] 2024-08-20T21:46:26.4196504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:46:26.4198549Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=15', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:46:26.419547] 2024-08-20T21:46:34.2961317Z 2024-08-20T21:46:34.2963243Z inductor/test_torchinductor_opinfo 15/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_15.39_c03443aa65a9ad26_.log 2024-08-20T21:46:34.2964753Z Running 0 items in this shard: 2024-08-20T21:46:34.2965004Z 2024-08-20T21:46:34.2965478Z Running inductor/test_torchinductor_opinfo 16/39 ... [2024-08-20 21:46:34.296291] 2024-08-20T21:46:34.2966129Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:46:34.2969262Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=16', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:46:34.296621] 2024-08-20T21:46:42.5736348Z 2024-08-20T21:46:42.5738436Z inductor/test_torchinductor_opinfo 16/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_16.39_52230836b0b24d4a_.log 2024-08-20T21:46:42.5740050Z Running 0 items in this shard: 2024-08-20T21:46:42.5740323Z 2024-08-20T21:46:42.5740776Z Running inductor/test_torchinductor_opinfo 23/39 ... [2024-08-20 21:46:42.573767] 2024-08-20T21:46:42.5741421Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:46:42.5744529Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=23', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:46:42.574134] 2024-08-20T21:46:50.2994009Z 2024-08-20T21:46:50.2996592Z inductor/test_torchinductor_opinfo 23/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_23.39_b9ad8f0897682fcd_.log 2024-08-20T21:46:50.2998273Z Running 0 items in this shard: 2024-08-20T21:46:50.2998543Z 2024-08-20T21:46:50.2998988Z Running inductor/test_torchinductor_opinfo 24/39 ... [2024-08-20 21:46:50.299540] 2024-08-20T21:46:50.2999634Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:46:50.3001923Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=24', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:46:50.299874] 2024-08-20T21:46:57.9745309Z 2024-08-20T21:46:57.9748490Z inductor/test_torchinductor_opinfo 24/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_24.39_8e4e437cd3a786a7_.log 2024-08-20T21:46:57.9750050Z Running 0 items in this shard: 2024-08-20T21:46:57.9750329Z 2024-08-20T21:46:57.9750806Z Running inductor/test_torchinductor_opinfo 25/39 ... [2024-08-20 21:46:57.974522] 2024-08-20T21:46:57.9751453Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:46:57.9753351Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=25', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:46:57.974875] 2024-08-20T21:47:05.6495410Z 2024-08-20T21:47:05.6497483Z inductor/test_torchinductor_opinfo 25/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_25.39_d35315ea561f43f4_.log 2024-08-20T21:47:05.6499122Z Running 0 items in this shard: 2024-08-20T21:47:05.6499394Z 2024-08-20T21:47:05.6499995Z Running inductor/test_torchinductor_opinfo 32/39 ... [2024-08-20 21:47:05.649730] 2024-08-20T21:47:05.6500685Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:47:05.6503967Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=32', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:47:05.650095] 2024-08-20T21:47:13.3247385Z 2024-08-20T21:47:13.3249347Z inductor/test_torchinductor_opinfo 32/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_32.39_8c7f2cc78a9c3b30_.log 2024-08-20T21:47:13.3250790Z Running 0 items in this shard: 2024-08-20T21:47:13.3251148Z 2024-08-20T21:47:13.3251601Z Running inductor/test_torchinductor_opinfo 33/39 ... [2024-08-20 21:47:13.324939] 2024-08-20T21:47:13.3252252Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:47:13.3256302Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=33', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:47:13.325285] 2024-08-20T21:47:21.0499296Z 2024-08-20T21:47:21.0501161Z inductor/test_torchinductor_opinfo 33/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_33.39_86f5453c2806e5c2_.log 2024-08-20T21:47:21.0502524Z Running 0 items in this shard: 2024-08-20T21:47:21.0502835Z 2024-08-20T21:47:21.0503298Z Running inductor/test_torchinductor_opinfo 34/39 ... [2024-08-20 21:47:21.050114] 2024-08-20T21:47:21.0503943Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:47:21.0507112Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=34', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:47:21.050420] 2024-08-20T21:47:28.7250705Z 2024-08-20T21:47:28.7253397Z inductor/test_torchinductor_opinfo 34/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_34.39_0b278d11c083ab67_.log 2024-08-20T21:47:28.7255535Z Running 0 items in this shard: 2024-08-20T21:47:28.7255961Z 2024-08-20T21:47:28.7256742Z Running inductor/test_torchinductor_dynamic_shapes 2/3 ... [2024-08-20 21:47:28.725295] 2024-08-20T21:47:28.7257813Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:47:28.7261672Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:47:28.725728] 2024-08-20T21:47:35.8009249Z 2024-08-20T21:47:35.8011423Z inductor/test_torchinductor_dynamic_shapes 2/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_2.3_117f2abadd565c75_.log 2024-08-20T21:47:35.8012990Z Running 0 items in this shard: 2024-08-20T21:47:35.8013275Z 2024-08-20T21:47:35.8013771Z Running inductor/test_torchinductor_dynamic_shapes 3/3 ... [2024-08-20 21:47:35.801094] 2024-08-20T21:47:35.8014451Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:47:35.8017392Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'serial', '--shard-id=3', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:47:35.801436] 2024-08-20T21:48:03.5714509Z 2024-08-20T21:48:03.5742488Z inductor/test_torchinductor_dynamic_shapes 3/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_3.3_bb36be5cf48c7fc1_.log 2024-08-20T21:48:03.5744422Z Running 1 items in this shard: test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_large_block_sizes_dynamic_shapes_cpu 2024-08-20T21:48:03.5745324Z 2024-08-20T21:48:03.5749389Z Running dynamo/test_modules 1/1 ... [2024-08-20 21:48:03.557531] 2024-08-20T21:48:03.5749959Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:48:03.5751746Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_modules.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 21:48:03.559531] 2024-08-20T21:48:08.6342268Z 2024-08-20T21:48:08.6344076Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_21561a0ddbbf30ad_.log 2024-08-20T21:48:08.6345205Z Running 0 items in this shard: 2024-08-20T21:48:08.6345492Z 2024-08-20T21:48:08.6346080Z Running dynamo/test_export 1/1 ... [2024-08-20 21:48:08.634395] 2024-08-20T21:48:08.6346764Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:48:08.6350423Z Executing ['/opt/conda/envs/py_3.12/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 21:48:08.634739] 2024-08-20T21:48:11.2526696Z 2024-08-20T21:48:11.2528837Z dynamo/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_1.1_491a7b3423594c24_.log 2024-08-20T21:48:11.2530921Z Running 0 items in this shard: 2024-08-20T21:48:11.2531355Z 2024-08-20T21:48:11.2532061Z Running inductor/test_compiled_autograd 1/1 ... [2024-08-20 21:48:11.252884] 2024-08-20T21:48:11.2533009Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:48:11.2536323Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_compiled_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 21:48:11.253308] 2024-08-20T21:48:18.9781917Z 2024-08-20T21:48:18.9783947Z inductor/test_compiled_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_autograd_1.1_c7971487a1e287c6_.log 2024-08-20T21:48:18.9785203Z Running 0 items in this shard: 2024-08-20T21:48:18.9785464Z 2024-08-20T21:48:18.9787281Z Running inductor/test_cudagraph_trees 1/1 ... [2024-08-20 21:48:18.978506] 2024-08-20T21:48:18.9787921Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:48:18.9792259Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_cudagraph_trees.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 21:48:18.978851] 2024-08-20T21:48:22.2943882Z 2024-08-20T21:48:22.2945607Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_fb92f051af9b54d2_.log 2024-08-20T21:48:22.2946842Z 2024-08-20T21:48:22.2947330Z Running inductor/test_split_cat_fx_passes 1/1 ... [2024-08-20 21:48:22.294484] 2024-08-20T21:48:22.2948025Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:48:22.2951309Z Executing ['/opt/conda/envs/py_3.12/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 21:48:22.294805] 2024-08-20T21:48:25.4783768Z 2024-08-20T21:48:25.4785708Z 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_f60dbcef39445c7e_.log 2024-08-20T21:48:25.4786862Z 2024-08-20T21:48:25.4787576Z Running inductor/test_cpu_repro 2/2 ... [2024-08-20 21:48:25.478574] 2024-08-20T21:48:25.4788219Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:48:25.4799605Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:48:25.478935] 2024-08-20T21:48:31.7516366Z 2024-08-20T21:48:31.7518202Z inductor/test_cpu_repro 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_2.2_bc744c786ea7bf65_.log 2024-08-20T21:48:31.7519520Z Running 0 items in this shard: 2024-08-20T21:48:31.7519995Z 2024-08-20T21:48:31.7520595Z Running dynamo/test_optimizers 1/1 ... [2024-08-20 21:48:31.751814] 2024-08-20T21:48:31.7521172Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:48:31.7524910Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_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 21:48:31.752170] 2024-08-20T21:48:34.2198379Z 2024-08-20T21:48:34.2200275Z dynamo/test_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_optimizers_1.1_9839e078d4e545a4_.log 2024-08-20T21:48:34.2201789Z Running 0 items in this shard: 2024-08-20T21:48:34.2202048Z 2024-08-20T21:48:34.2202429Z Running dynamo/test_aot_autograd 1/1 ... [2024-08-20 21:48:34.219925] 2024-08-20T21:48:34.2203059Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:48:34.2205382Z Executing ['/opt/conda/envs/py_3.12/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 21:48:34.220275] 2024-08-20T21:48:36.7879560Z 2024-08-20T21:48:36.7881347Z 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_2a490cbde205ce15_.log 2024-08-20T21:48:36.7882581Z Running 0 items in this shard: 2024-08-20T21:48:36.7882903Z 2024-08-20T21:48:36.7883299Z Running export/test_verifier 1/1 ... [2024-08-20 21:48:36.788153] 2024-08-20T21:48:36.7883857Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:48:36.7887641Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_verifier.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 21:48:36.788491] 2024-08-20T21:48:39.3060568Z 2024-08-20T21:48:39.3062556Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_c7db4aef82fd0f92_.log 2024-08-20T21:48:39.3063794Z Running 0 items in this shard: 2024-08-20T21:48:39.3064053Z 2024-08-20T21:48:39.3064413Z Running dynamo/test_cudagraphs 1/1 ... [2024-08-20 21:48:39.306192] 2024-08-20T21:48:39.3064994Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:48:39.3068139Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_cudagraphs.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 21:48:39.306530] 2024-08-20T21:48:41.5819973Z 2024-08-20T21:48:41.5821803Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_34cf9890c7d364d4_.log 2024-08-20T21:48:41.5823013Z 2024-08-20T21:48:41.5823455Z Running dynamo/test_backends 1/1 ... [2024-08-20 21:48:41.582104] 2024-08-20T21:48:41.5824066Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:48:41.5827458Z Executing ['/opt/conda/envs/py_3.12/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 21:48:41.582431] 2024-08-20T21:48:44.1501338Z 2024-08-20T21:48:44.1503093Z dynamo/test_backends 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backends_1.1_42bdeec2fffa807c_.log 2024-08-20T21:48:44.1504211Z Running 0 items in this shard: 2024-08-20T21:48:44.1504607Z 2024-08-20T21:48:44.1505012Z Running inductor/test_config 1/1 ... [2024-08-20 21:48:44.150324] 2024-08-20T21:48:44.1505591Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:48:44.1509629Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/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 21:48:44.150666] 2024-08-20T21:48:49.8226087Z 2024-08-20T21:48:49.8227908Z inductor/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_config_1.1_fcb40114c020f03d_.log 2024-08-20T21:48:49.8229285Z Running 0 items in this shard: 2024-08-20T21:48:49.8229572Z 2024-08-20T21:48:49.8229922Z Running dynamo/test_comptime 1/1 ... [2024-08-20 21:48:49.822729] 2024-08-20T21:48:49.8230488Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:48:49.8233825Z Executing ['/opt/conda/envs/py_3.12/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 21:48:49.823060] 2024-08-20T21:48:52.2419293Z 2024-08-20T21:48:52.2420834Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_81ea795660ec78cc_.log 2024-08-20T21:48:52.2421964Z Running 0 items in this shard: 2024-08-20T21:48:52.2422392Z 2024-08-20T21:48:52.2422919Z Running inductor/test_standalone_compile 1/1 ... [2024-08-20 21:48:52.242106] 2024-08-20T21:48:52.2423542Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:48:52.2427392Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_standalone_compile.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 21:48:52.242439] 2024-08-20T21:48:57.9174527Z 2024-08-20T21:48:57.9176798Z inductor/test_standalone_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_standalone_compile_1.1_b5c2926546386e53_.log 2024-08-20T21:48:57.9178152Z Running 0 items in this shard: 2024-08-20T21:48:57.9178425Z 2024-08-20T21:48:57.9178774Z Running dynamo/test_minifier 1/1 ... [2024-08-20 21:48:57.917620] 2024-08-20T21:48:57.9179330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:48:57.9182617Z Executing ['/opt/conda/envs/py_3.12/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 21:48:57.917965] 2024-08-20T21:49:00.3865180Z 2024-08-20T21:49:00.3867223Z dynamo/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_minifier_1.1_649619f22bd678bc_.log 2024-08-20T21:49:00.3868500Z Running 0 items in this shard: 2024-08-20T21:49:00.3868755Z 2024-08-20T21:49:00.3869071Z Running export/test_db 1/1 ... [2024-08-20 21:49:00.386563] 2024-08-20T21:49:00.3869598Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:00.3871995Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_db.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 21:49:00.386938] 2024-08-20T21:49:03.0549787Z 2024-08-20T21:49:03.0551839Z export/test_db 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_db_1.1_ad9a47a9c3fe4c24_.log 2024-08-20T21:49:03.0553511Z Running 0 items in this shard: 2024-08-20T21:49:03.0553943Z 2024-08-20T21:49:03.0554555Z Running dynamo/test_skip_non_tensor 1/1 ... [2024-08-20 21:49:03.055196] 2024-08-20T21:49:03.0555524Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:03.0560258Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_skip_non_tensor.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 21:49:03.055621] 2024-08-20T21:49:05.4733660Z 2024-08-20T21:49:05.4735639Z dynamo/test_skip_non_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_non_tensor_1.1_1f839a91bcd15159_.log 2024-08-20T21:49:05.4737023Z Running 0 items in this shard: 2024-08-20T21:49:05.4737330Z 2024-08-20T21:49:05.4737700Z Running export/test_serialize 1/1 ... [2024-08-20 21:49:05.473515] 2024-08-20T21:49:05.4738307Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:05.4741762Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_serialize.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 21:49:05.473841] 2024-08-20T21:49:08.1919007Z 2024-08-20T21:49:08.1920524Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_08c2f732d37bab5b_.log 2024-08-20T21:49:08.1921626Z Running 0 items in this shard: 2024-08-20T21:49:08.1921936Z 2024-08-20T21:49:08.1922255Z Running export/test_passes 1/1 ... [2024-08-20 21:49:08.192055] 2024-08-20T21:49:08.1922801Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:08.1926855Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_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 21:49:08.192374] 2024-08-20T21:49:10.8101175Z 2024-08-20T21:49:10.8102967Z export/test_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_passes_1.1_ac7305a819a2e999_.log 2024-08-20T21:49:10.8104199Z Running 0 items in this shard: 2024-08-20T21:49:10.8104633Z 2024-08-20T21:49:10.8105472Z Running inductor/test_extension_backend 1/1 ... [2024-08-20 21:49:10.810282] 2024-08-20T21:49:10.8106081Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:10.8109091Z Executing ['/opt/conda/envs/py_3.12/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 21:49:10.810619] 2024-08-20T21:49:17.0333497Z 2024-08-20T21:49:17.0335129Z 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_5e464282d437a1f0_.log 2024-08-20T21:49:17.0336491Z Running 0 items in this shard: 2024-08-20T21:49:17.0336754Z 2024-08-20T21:49:17.0337388Z Running dynamo/test_pre_dispatch 1/1 ... [2024-08-20 21:49:17.033464] 2024-08-20T21:49:17.0338102Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:17.0341309Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_pre_dispatch.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 21:49:17.033826] 2024-08-20T21:49:19.5514735Z 2024-08-20T21:49:19.5516816Z dynamo/test_pre_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pre_dispatch_1.1_e4280f2550cb745a_.log 2024-08-20T21:49:19.5518944Z Running 0 items in this shard: 2024-08-20T21:49:19.5519372Z 2024-08-20T21:49:19.5519941Z Running inductor/test_fx_fusion 1/1 ... [2024-08-20 21:49:19.551629] 2024-08-20T21:49:19.5520852Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:19.5524219Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_fx_fusion.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 21:49:19.552043] 2024-08-20T21:49:22.8708324Z 2024-08-20T21:49:22.8710038Z inductor/test_fx_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fx_fusion_1.1_da12323a6d0e578e_.log 2024-08-20T21:49:22.8711358Z Running 0 items in this shard: 2024-08-20T21:49:22.8711786Z 2024-08-20T21:49:22.8712336Z Running dynamo/test_config 1/1 ... [2024-08-20 21:49:22.870945] 2024-08-20T21:49:22.8712902Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:22.8715729Z Executing ['/opt/conda/envs/py_3.12/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 21:49:22.871272] 2024-08-20T21:49:25.3388111Z 2024-08-20T21:49:25.3389837Z dynamo/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_config_1.1_4d7728d7ac101ef5_.log 2024-08-20T21:49:25.3391036Z Running 0 items in this shard: 2024-08-20T21:49:25.3391358Z 2024-08-20T21:49:25.3391740Z Running dynamo/test_python_autograd 1/1 ... [2024-08-20 21:49:25.338960] 2024-08-20T21:49:25.3392334Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:25.3395849Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_python_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 21:49:25.339293] 2024-08-20T21:49:27.8068346Z 2024-08-20T21:49:27.8070276Z dynamo/test_python_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_autograd_1.1_627132aa6c3a4838_.log 2024-08-20T21:49:27.8071687Z Running 0 items in this shard: 2024-08-20T21:49:27.8072169Z 2024-08-20T21:49:27.8072561Z Running inductor/test_minifier 1/1 ... [2024-08-20 21:49:27.806989] 2024-08-20T21:49:27.8073348Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:27.8076221Z Executing ['/opt/conda/envs/py_3.12/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 21:49:27.807314] 2024-08-20T21:49:30.3249872Z 2024-08-20T21:49:30.3252185Z inductor/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_1.1_7fe3924a733c6188_.log 2024-08-20T21:49:30.3253894Z Running 0 items in this shard: 2024-08-20T21:49:30.3254378Z 2024-08-20T21:49:30.3255425Z Running dynamo/test_recompiles 1/1 ... [2024-08-20 21:49:30.325281] 2024-08-20T21:49:30.3256575Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:30.3261434Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_recompiles.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 21:49:30.325709] 2024-08-20T21:49:32.7433941Z 2024-08-20T21:49:32.7435747Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_aee81c9510701a8d_.log 2024-08-20T21:49:32.7437111Z Running 0 items in this shard: 2024-08-20T21:49:32.7437495Z 2024-08-20T21:49:32.7437924Z Running inductor/test_binary_folding 1/1 ... [2024-08-20 21:49:32.743580] 2024-08-20T21:49:32.7438530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:32.7442179Z Executing ['/opt/conda/envs/py_3.12/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 21:49:32.743922] 2024-08-20T21:49:39.0168404Z 2024-08-20T21:49:39.0170369Z 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_f72efb02f356f3b4_.log 2024-08-20T21:49:39.0171756Z Running 0 items in this shard: 2024-08-20T21:49:39.0172187Z 2024-08-20T21:49:39.0172800Z Running dynamo/test_after_aot 1/1 ... [2024-08-20 21:49:39.017053] 2024-08-20T21:49:39.0173370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:39.0177191Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_after_aot.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 21:49:39.017383] 2024-08-20T21:49:41.4849139Z 2024-08-20T21:49:41.4850814Z dynamo/test_after_aot 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_after_aot_1.1_0e8ae08eb3641bae_.log 2024-08-20T21:49:41.4852066Z Running 0 items in this shard: 2024-08-20T21:49:41.4852464Z 2024-08-20T21:49:41.4852851Z Running export/test_pass_infra 1/1 ... [2024-08-20 21:49:41.485087] 2024-08-20T21:49:41.4853419Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:41.4857140Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_pass_infra.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 21:49:41.485421] 2024-08-20T21:49:44.0030566Z 2024-08-20T21:49:44.0032300Z export/test_pass_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_pass_infra_1.1_6737eda0a4abfd96_.log 2024-08-20T21:49:44.0033508Z Running 0 items in this shard: 2024-08-20T21:49:44.0033759Z 2024-08-20T21:49:44.0034479Z Running inductor/test_select_algorithm 1/1 ... [2024-08-20 21:49:44.003260] 2024-08-20T21:49:44.0035110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:44.0038975Z Executing ['/opt/conda/envs/py_3.12/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 21:49:44.003590] 2024-08-20T21:49:47.0921386Z 2024-08-20T21:49:47.0922943Z 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_0c6bb5d955aa9239_.log 2024-08-20T21:49:47.0924140Z 2024-08-20T21:49:47.0925150Z Running dynamo/test_verify_correctness 1/1 ... [2024-08-20 21:49:47.092318] 2024-08-20T21:49:47.0925968Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:47.0929797Z Executing ['/opt/conda/envs/py_3.12/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 21:49:47.092682] 2024-08-20T21:49:49.5602450Z 2024-08-20T21:49:49.5604168Z 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_1ae6969f7d7d77cc_.log 2024-08-20T21:49:49.5605437Z Running 0 items in this shard: 2024-08-20T21:49:49.5605696Z 2024-08-20T21:49:49.5606127Z Running inductor/test_triton_kernels 1/1 ... [2024-08-20 21:49:49.560419] 2024-08-20T21:49:49.5607002Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:49.5610855Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_triton_kernels.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 21:49:49.560786] 2024-08-20T21:49:52.1285064Z 2024-08-20T21:49:52.1287436Z inductor/test_triton_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_kernels_1.1_1e0dba4e4e9b0030_.log 2024-08-20T21:49:52.1289443Z Running 0 items in this shard: 2024-08-20T21:49:52.1289840Z 2024-08-20T21:49:52.1290363Z Running dynamo/test_nops 1/1 ... [2024-08-20 21:49:52.128750] 2024-08-20T21:49:52.1291192Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:52.1295840Z Executing ['/opt/conda/envs/py_3.12/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 21:49:52.129180] 2024-08-20T21:49:54.6968987Z 2024-08-20T21:49:54.6970680Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_616fb3644f25781b_.log 2024-08-20T21:49:54.6971866Z Running 0 items in this shard: 2024-08-20T21:49:54.6972239Z 2024-08-20T21:49:54.6972807Z Running inductor/test_triton_heuristics 1/1 ... [2024-08-20 21:49:54.697086] 2024-08-20T21:49:54.6973512Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:54.6976905Z Executing ['/opt/conda/envs/py_3.12/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 21:49:54.697411] 2024-08-20T21:49:57.0282905Z 2024-08-20T21:49:57.0285389Z 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_a8b3c660061da8bc_.log 2024-08-20T21:49:57.0287210Z 2024-08-20T21:49:57.0287845Z Running inductor/test_snode_runtime 1/1 ... [2024-08-20 21:49:57.028492] 2024-08-20T21:49:57.0288782Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:49:57.0293327Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_snode_runtime.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 21:49:57.028925] 2024-08-20T21:50:00.2045793Z 2024-08-20T21:50:00.2047792Z inductor/test_snode_runtime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_snode_runtime_1.1_b4670ceb8d03268c_.log 2024-08-20T21:50:00.2048821Z 2024-08-20T21:50:00.2049238Z Running inductor/test_custom_lowering 1/1 ... [2024-08-20 21:50:00.204508] 2024-08-20T21:50:00.2049848Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:00.2052335Z Executing ['/opt/conda/envs/py_3.12/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 21:50:00.204933] 2024-08-20T21:50:06.3279238Z 2024-08-20T21:50:06.3280992Z 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_93ef9d9cd429cacf_.log 2024-08-20T21:50:06.3282286Z Running 0 items in this shard: 2024-08-20T21:50:06.3282546Z 2024-08-20T21:50:06.3282900Z Running test_foreach 1/1 ... [2024-08-20 21:50:06.328076] 2024-08-20T21:50:06.3283392Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:06.3287199Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', '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 21:50:06.328416] 2024-08-20T21:50:10.2478943Z 2024-08-20T21:50:10.2480394Z test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_foreach_1.1_42233f8c6de2f48a_.log 2024-08-20T21:50:10.2481465Z Running 0 items in this shard: 2024-08-20T21:50:10.2481741Z 2024-08-20T21:50:10.2482192Z Running export/test_retraceability 1/1 ... [2024-08-20 21:50:10.248031] 2024-08-20T21:50:10.2482795Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:10.2486694Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_retraceability.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 21:50:10.248384] 2024-08-20T21:50:13.6671886Z 2024-08-20T21:50:13.6674212Z export/test_retraceability 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_retraceability_1.1_b20b0057306f660e_.log 2024-08-20T21:50:13.6676141Z Running 0 items in this shard: 2024-08-20T21:50:13.6676554Z 2024-08-20T21:50:13.6677136Z Running export/test_unflatten 1/1 ... [2024-08-20 21:50:13.667428] 2024-08-20T21:50:13.6678017Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:13.6682447Z Executing ['/opt/conda/envs/py_3.12/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 21:50:13.667854] 2024-08-20T21:50:16.2356569Z 2024-08-20T21:50:16.2358361Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_357c20c90ceea816_.log 2024-08-20T21:50:16.2360047Z Running 0 items in this shard: 2024-08-20T21:50:16.2360541Z 2024-08-20T21:50:16.2360876Z Running export/test_serdes 1/1 ... [2024-08-20 21:50:16.235820] 2024-08-20T21:50:16.2361424Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:16.2364704Z Executing ['/opt/conda/envs/py_3.12/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 21:50:16.236187] 2024-08-20T21:50:19.6047850Z 2024-08-20T21:50:19.6049953Z export/test_serdes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serdes_1.1_371a20b8a3834e90_.log 2024-08-20T21:50:19.6051188Z Running 0 items in this shard: 2024-08-20T21:50:19.6051761Z 2024-08-20T21:50:19.6052239Z Running test_autograd 1/1 ... [2024-08-20 21:50:19.604954] 2024-08-20T21:50:19.6052751Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:19.6055511Z Executing ['/opt/conda/envs/py_3.12/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 21:50:19.605273] 2024-08-20T21:50:23.6749670Z 2024-08-20T21:50:23.6751776Z test_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_1.1_9a2540cb4ec9ea9f_.log 2024-08-20T21:50:23.6753071Z Running 0 items in this shard: 2024-08-20T21:50:23.6753437Z 2024-08-20T21:50:23.6753833Z Running test_functionalization 1/1 ... [2024-08-20 21:50:23.675132] 2024-08-20T21:50:23.6754399Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:23.6757915Z Executing ['/opt/conda/envs/py_3.12/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 21:50:23.675483] 2024-08-20T21:50:26.5440626Z 2024-08-20T21:50:26.5442364Z test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_1.1_79985a252b60a7f5_.log 2024-08-20T21:50:26.5443480Z Running 0 items in this shard: 2024-08-20T21:50:26.5443775Z 2024-08-20T21:50:26.5444155Z Running dynamo/test_frame_init 1/1 ... [2024-08-20 21:50:26.544215] 2024-08-20T21:50:26.5444733Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:26.5448387Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_frame_init.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 21:50:26.544549] 2024-08-20T21:50:29.3629821Z 2024-08-20T21:50:29.3631713Z dynamo/test_frame_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_frame_init_1.1_08bcd13d71a989f4_.log 2024-08-20T21:50:29.3633175Z Running 0 items in this shard: 2024-08-20T21:50:29.3718254Z 2024-08-20T21:50:29.3719236Z Running test_serialization 1/1 ... [2024-08-20 21:50:29.363136] 2024-08-20T21:50:29.3719921Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:29.3721734Z Executing ['/opt/conda/envs/py_3.12/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 21:50:29.363474] 2024-08-20T21:50:39.3412067Z 2024-08-20T21:50:39.3413515Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_131a268ee80657b9_.log 2024-08-20T21:50:39.3415006Z Running 1 items in this shard: test/test_serialization.py::TestSerialization::test_serialization_2gb_file 2024-08-20T21:50:39.3415716Z 2024-08-20T21:50:39.3416094Z Running dynamo/test_exceptions 1/1 ... [2024-08-20 21:50:39.341384] 2024-08-20T21:50:39.3416666Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:39.3420039Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_exceptions.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 21:50:39.341699] 2024-08-20T21:50:41.7592964Z 2024-08-20T21:50:41.7594868Z dynamo/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exceptions_1.1_4952e7776e9273aa_.log 2024-08-20T21:50:41.7596326Z Running 0 items in this shard: 2024-08-20T21:50:41.7596592Z 2024-08-20T21:50:41.7597169Z Running export/test_export_training_ir_to_run_decomp 1/1 ... [2024-08-20 21:50:41.759466] 2024-08-20T21:50:41.7597921Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:41.7600819Z Executing ['/opt/conda/envs/py_3.12/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 21:50:41.759781] 2024-08-20T21:50:45.1286584Z 2024-08-20T21:50:45.1289907Z 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_d01cc195fd0e2e2d_.log 2024-08-20T21:50:45.1292633Z Running 0 items in this shard: 2024-08-20T21:50:45.1293111Z 2024-08-20T21:50:45.1293767Z Running dynamo/test_utils 1/1 ... [2024-08-20 21:50:45.128769] 2024-08-20T21:50:45.1294733Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:45.1298084Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_utils.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 21:50:45.129113] 2024-08-20T21:50:47.5966090Z 2024-08-20T21:50:47.5967574Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_f06588b14ffe9d94_.log 2024-08-20T21:50:47.5968684Z Running 0 items in this shard: 2024-08-20T21:50:47.5968940Z 2024-08-20T21:50:47.6078398Z Running inductor/test_torchinductor 2/4 ... [2024-08-20 21:50:47.607514] 2024-08-20T21:50:47.6079061Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:47.6083262Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor.py', '-m', 'not serial', '--shard-id=2', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:50:47.608006] 2024-08-20T21:50:47.6109211Z Running inductor/test_torchinductor_opinfo 5/39 ... [2024-08-20 21:50:47.610598] 2024-08-20T21:50:47.6110283Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:47.6111458Z Running inductor/test_torchinductor_opinfo 6/39 ... [2024-08-20 21:50:47.610763] 2024-08-20T21:50:47.6112423Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:50:47.6115476Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=5', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:50:47.611107] 2024-08-20T21:50:47.6118874Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=6', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:50:47.611259] 2024-08-20T21:57:29.5619240Z 2024-08-20T21:57:29.5621774Z inductor/test_torchinductor 2/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_2.4_cec1a9a0d6f9a749_.log 2024-08-20T21:57:29.5690409Z Running 163 items in this shard: test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_broadcast1_double, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_broadcast1_transposed, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_broadcast2_strided, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_broadcast3_broadcast1, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_broadcast3_broadcast3, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_broadcast3_int, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_dense_dense, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_dense_double, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_double_double, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_double_int, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_double_strided, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_strided_broadcast1, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_strided_broadcast2, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_strided_dense, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_strided_double, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_strided_strided, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_transposed_broadcast2, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_transposed_strided, test/inductor/test_torchinductor.py::CpuTests::test_AllenaiLongformerBase_repro_cpu, test/inductor/test_torchinductor.py::CpuTests::test_adaptive_avg_pool1d_argmax_cpu, test/inductor/test_torchinductor.py::CpuTests::test_adaptive_avg_pool_with_output_size_0_cpu, test/inductor/test_torchinductor.py::CpuTests::test_add_const_float_cpu, test/inductor/test_torchinductor.py::CpuTests::test_adding_tensor_offsets_cpu, test/inductor/test_torchinductor.py::CpuTests::test_addmm_cpu, test/inductor/test_torchinductor.py::CpuTests::test_aoti_eager_support_out_cpu, test/inductor/test_torchinductor.py::CpuTests::test_aoti_eager_support_str_cpu, test/inductor/test_torchinductor.py::CpuTests::test_aoti_eager_with_persistent_cache_cpu, test/inductor/test_torchinductor.py::CpuTests::test_arange3_cpu, test/inductor/test_torchinductor.py::CpuTests::test_argmax_argmin3_cpu, test/inductor/test_torchinductor.py::CpuTests::test_as_strided_cpu, test/inductor/test_torchinductor.py::CpuTests::test_avg_pool2d2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_avg_pool2d4_cpu, test/inductor/test_torchinductor.py::CpuTests::test_baddbmm_cpu, test/inductor/test_torchinductor.py::CpuTests::test_batch_norm_2d_2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_bernoulli2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_bmm1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_bmm2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_bool_cpu, test/inductor/test_torchinductor.py::CpuTests::test_bucketize_computed_offsets_cpu, test/inductor/test_torchinductor.py::CpuTests::test_bucketize_default_kwargs_cpu, test/inductor/test_torchinductor.py::CpuTests::test_buffer_use_after_remove_cpu, test/inductor/test_torchinductor.py::CpuTests::test_builtins_round_float_ndigits_pos_cpu, test/inductor/test_torchinductor.py::CpuTests::test_cat_cpu, test/inductor/test_torchinductor.py::CpuTests::test_cat_single_empty_cpu, test/inductor/test_torchinductor.py::CpuTests::test_cat_unbacked_2d_cpu, test/inductor/test_torchinductor.py::CpuTests::test_clamp_cpu, test/inductor/test_torchinductor.py::CpuTests::test_clamp_type_promotion_cpu, test/inductor/test_torchinductor.py::CpuTests::test_complex_fallback_cpu, test/inductor/test_torchinductor.py::CpuTests::test_constant_pad_1d_cpu, test/inductor/test_torchinductor.py::CpuTests::test_constant_pad_3d_cpu, test/inductor/test_torchinductor.py::CpuTests::test_constant_pad_fill_dtype_cpu, test/inductor/test_torchinductor.py::CpuTests::test_conv2d_channels_last_cpu, test/inductor/test_torchinductor.py::CpuTests::test_conv3d_cpu, test/inductor/test_torchinductor.py::CpuTests::test_conv_functional_bn_fuse_cpu, test/inductor/test_torchinductor.py::CpuTests::test_cumsum_cpu, test/inductor/test_torchinductor.py::CpuTests::test_custom_scan_op_multi_input_cpu, test/inductor/test_torchinductor.py::CpuTests::test_data_type_propogation_cpu, test/inductor/test_torchinductor.py::CpuTests::test_dense_mask_index_cpu, test/inductor/test_torchinductor.py::CpuTests::test_div3_cpu, test/inductor/test_torchinductor.py::CpuTests::test_div8_cpu, test/inductor/test_torchinductor.py::CpuTests::test_dtype_sympy_expr_cpu, test/inductor/test_torchinductor.py::CpuTests::test_empty1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_fallback_mutable_op_basic_cpu, test/inductor/test_torchinductor.py::CpuTests::test_fallback_mutable_op_no_mutated_tensors_cpu, test/inductor/test_torchinductor.py::CpuTests::test_flip_cat_cpu, test/inductor/test_torchinductor.py::CpuTests::test_flip_cpu, test/inductor/test_torchinductor.py::CpuTests::test_fmin_fmax_cpu, test/inductor/test_torchinductor.py::CpuTests::test_fractional_max_pool2d3_cpu, test/inductor/test_torchinductor.py::CpuTests::test_fuse_large_params_cpu, test/inductor/test_torchinductor.py::CpuTests::test_hardsigmoid_cpu, test/inductor/test_torchinductor.py::CpuTests::test_hardtanh_cpu, test/inductor/test_torchinductor.py::CpuTests::test_index1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_index_propagation_cpu, test/inductor/test_torchinductor.py::CpuTests::test_index_put3_cpu, test/inductor/test_torchinductor.py::CpuTests::test_index_put_fallback1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_inf_cpu, test/inductor/test_torchinductor.py::CpuTests::test_inplace_mixed_dtype_ops_cpu, test/inductor/test_torchinductor.py::CpuTests::test_input_mutation4_cpu, test/inductor/test_torchinductor.py::CpuTests::test_input_mutation5_cpu, test/inductor/test_torchinductor.py::CpuTests::test_int_input_dynamic_shapes_cpu, test/inductor/test_torchinductor.py::CpuTests::test_large_grid_cpu, test/inductor/test_torchinductor.py::CpuTests::test_large_pointwise_cpu, test/inductor/test_torchinductor.py::CpuTests::test_large_tensor_reduction_cpu, test/inductor/test_torchinductor.py::CpuTests::test_lerp_cpu, test/inductor/test_torchinductor.py::CpuTests::test_logcumsumexp_cpu, test/inductor/test_torchinductor.py::CpuTests::test_low_memory_max_pool_cpu, test/inductor/test_torchinductor.py::CpuTests::test_max_pool2d7_cpu, test/inductor/test_torchinductor.py::CpuTests::test_max_pool2d_with_indices_backward3_cpu, test/inductor/test_torchinductor.py::CpuTests::test_max_pool2d_with_indices_backward5_cpu, test/inductor/test_torchinductor.py::CpuTests::test_max_pool2d_with_indices_backward_cpu, test/inductor/test_torchinductor.py::CpuTests::test_min_max_reduction_nan_cpu, test/inductor/test_torchinductor.py::CpuTests::test_misaligned_address_issue1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_mixed_mm_cpu, test/inductor/test_torchinductor.py::CpuTests::test_mul_index_expr_cpu, test/inductor/test_torchinductor.py::CpuTests::test_multi_device_cpu, test/inductor/test_torchinductor.py::CpuTests::test_multilayer_prime_size_cpu, test/inductor/test_torchinductor.py::CpuTests::test_multilayer_var_cpu, test/inductor/test_torchinductor.py::CpuTests::test_narrow_cpu, test/inductor/test_torchinductor.py::CpuTests::test_neg_max_uint8_cpu, test/inductor/test_torchinductor.py::CpuTests::test_nll_loss_backward_cpu, test/inductor/test_torchinductor.py::CpuTests::test_nll_loss_forward_cpu, test/inductor/test_torchinductor.py::CpuTests::test_nonzero_unbacked_refinement_cpu, test/inductor/test_torchinductor.py::CpuTests::test_one_hot_cpu, test/inductor/test_torchinductor.py::CpuTests::test_permute2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_airy_ai_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_bessel_y0_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_chebyshev_polynomial_t_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_chebyshev_polynomial_v_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_chebyshev_polynomial_w_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_erf_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_erfc_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_erfcx_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_expit_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_hermite_polynomial_h_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_hermite_polynomial_he_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_laguerre_polynomial_l_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_log1p_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_psi_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_scaled_modified_bessel_k1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_shifted_chebyshev_polynomial_t_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_shifted_chebyshev_polynomial_u_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pow2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_randint_int64_mod_cpu, test/inductor/test_torchinductor.py::CpuTests::test_randn_with_dtype_and_device_cpu, test/inductor/test_torchinductor.py::CpuTests::test_reduction1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_reduction5_cpu, test/inductor/test_torchinductor.py::CpuTests::test_repeat_interleave_2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_resize_as_cpu, test/inductor/test_torchinductor.py::CpuTests::test_roi_align_cpu, test/inductor/test_torchinductor.py::CpuTests::test_round_correctness_cpu, test/inductor/test_torchinductor.py::CpuTests::test_scatter5_cpu, test/inductor/test_torchinductor.py::CpuTests::test_scatter6_cpu, test/inductor/test_torchinductor.py::CpuTests::test_should_pad_bench_for_bmm_cpu, test/inductor/test_torchinductor.py::CpuTests::test_slice_mutation2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_slice_scatter3_cpu, test/inductor/test_torchinductor.py::CpuTests::test_slice_scatter_cpu, test/inductor/test_torchinductor.py::CpuTests::test_softmax_one_kernel_loop_cpu, test/inductor/test_torchinductor.py::CpuTests::test_softmax_one_kernel_persist_cpu, test/inductor/test_torchinductor.py::CpuTests::test_sort_bool_cpu, test/inductor/test_torchinductor.py::CpuTests::test_split_cpu, test/inductor/test_torchinductor.py::CpuTests::test_split_cumprod_low_prec_cpu, test/inductor/test_torchinductor.py::CpuTests::test_split_failed_cpu, test/inductor/test_torchinductor.py::CpuTests::test_sum1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_sum2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_sum_dtype_cpu, test/inductor/test_torchinductor.py::CpuTests::test_sum_int_cpu, test/inductor/test_torchinductor.py::CpuTests::test_tan_cpu, test/inductor/test_torchinductor.py::CpuTests::test_tanh_cpu, test/inductor/test_torchinductor.py::CpuTests::test_tensor3_cpu, test/inductor/test_torchinductor.py::CpuTests::test_tmp_not_defined_issue2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_topk_cpu, test/inductor/test_torchinductor.py::CpuTests::test_unbind_cpu, test/inductor/test_torchinductor.py::CpuTests::test_upsample_bicubic2d_cpu, test/inductor/test_torchinductor.py::CpuTests::test_upsample_bilinear2d_b_cpu, test/inductor/test_torchinductor.py::CpuTests::test_upsample_cat_conv_cpu, test/inductor/test_torchinductor.py::CpuTests::test_var_mean_cpu, test/inductor/test_torchinductor.py::CpuTests::test_vectorized_ops_masked_cpu, test/inductor/test_torchinductor.py::CpuTests::test_vertical_fusion1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_view_as_real_cpu, test/inductor/test_torchinductor.py::CpuTests::test_view_on_aliased_cpu, test/inductor/test_torchinductor.py::CpuTests::test_views2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_views4_cpu, test/inductor/test_torchinductor.py::CpuTests::test_views6_cpu 2024-08-20T21:57:29.5758503Z 2024-08-20T21:57:32.0830788Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T21:57:32.2545971Z Running inductor/test_torchinductor_opinfo 7/39 ... [2024-08-20 21:57:32.254137] 2024-08-20T21:57:32.2547203Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T21:57:32.2549887Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=7', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 21:57:32.254490] 2024-08-20T22:01:26.8225295Z 2024-08-20T22:01:26.8228144Z inductor/test_torchinductor_opinfo 6/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_6.39_505045d41a266d17_.log 2024-08-20T22:01:26.8346795Z Running 86 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rand___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__native_batch_norm_legit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__segment_reduce_lengths_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__unsafe_masked_index_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_copy_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan2_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_baddbmm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bincount_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_not_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cauchy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cholesky_inverse_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cholesky_inverse_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cov_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histc_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogram_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vecdot_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_normal_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_normal_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logcumsumexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logdet_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mm_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_celu_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_fractional_max_pool2d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_nearest_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_layer_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool3d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_bilinear_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_fro_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_nuc_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ormqr_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_multiple_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_unbiased_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float16 2024-08-20T22:01:26.8439554Z 2024-08-20T22:01:29.5193019Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:01:29.5767462Z Running inductor/test_torchinductor_opinfo 14/39 ... [2024-08-20 22:01:29.576248] 2024-08-20T22:01:29.5768684Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:01:29.5772064Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=14', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 22:01:29.576670] 2024-08-20T22:04:51.8944545Z 2024-08-20T22:04:51.8947061Z inductor/test_torchinductor_opinfo 5/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_5.39_834a70ce2cd24e1d_.log 2024-08-20T22:04:51.9017299Z Running 107 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addbmm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argwhere_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atanh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_2d_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_2d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bfloat16_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_xor_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_xor_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_to_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumprod_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_permuted_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_geqrf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igamma_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_prod_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_msort_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_multinomial_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmean_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanquantile_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose1d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose2d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_dropout_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_fractional_max_pool3d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_gelu_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardsigmoid_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardtanh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_logsigmoid_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_margin_ranking_loss_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool2d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool3d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool1d_grad_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_normalize_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_constant_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_reflect_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_bilinear_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_inf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_quantile_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_exponential_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsafe_chunk_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float32 2024-08-20T22:04:51.9081762Z 2024-08-20T22:04:54.6407092Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:04:54.6985399Z Running inductor/test_torchinductor_opinfo 15/39 ... [2024-08-20 22:04:54.698021] 2024-08-20T22:04:54.6986634Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:04:54.6990210Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=15', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 22:04:54.698441] 2024-08-20T22:05:04.6170455Z 2024-08-20T22:05:04.6172684Z inductor/test_torchinductor_opinfo 7/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_7.39_f388f7b941dc461f_.log 2024-08-20T22:05:04.6307735Z Running 84 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcmul_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argwhere_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_3d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bfloat16_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_tensors_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdouble_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_corrcoef_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dist_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_amin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_mean_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_mean_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_qr_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_unpack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_bilinear_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose1d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_elu_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_bicubic_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_bilinear_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_linear_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_nearest-exact_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_0_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sparse_sampled_addmm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_unbiased_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_int32 2024-08-20T22:05:04.6383334Z 2024-08-20T22:05:07.1461576Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:05:07.2044026Z Running inductor/test_torchinductor_opinfo 16/39 ... [2024-08-20 22:05:07.203903] 2024-08-20T22:05:07.2045357Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:05:07.2047863Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=16', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 22:05:07.204282] 2024-08-20T22:09:17.9614121Z 2024-08-20T22:09:17.9616679Z inductor/test_torchinductor_opinfo 14/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_14.39_3fca31e2aea816b2_.log 2024-08-20T22:09:17.9718917Z Running 93 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_3d_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_to_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cat_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_corrcoef_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumulative_trapezoid_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gcd_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_mean_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_msort_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_batch_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_ones_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nextafter_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_celu_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_channel_shuffle_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv1d_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv3d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_similarity_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_linear_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool1d_grad_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool3d_grad_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_threshold_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_static_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_static_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsafe_chunk_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_uint8 2024-08-20T22:09:17.9816959Z 2024-08-20T22:09:20.5341386Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:09:20.5920870Z Running inductor/test_torchinductor_opinfo 23/39 ... [2024-08-20 22:09:20.591571] 2024-08-20T22:09:20.5922109Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:09:20.5925975Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=23', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 22:09:20.591978] 2024-08-20T22:14:14.9013860Z 2024-08-20T22:14:14.9017763Z inductor/test_torchinductor_opinfo 15/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_15.39_1d352bc47065c8bc_.log 2024-08-20T22:14:14.9063570Z Running 75 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argsort_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_scatter_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_2d_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_left_shift_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_tensors_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cfloat_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cfloat_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumprod_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lcm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_log_softmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_bilinear_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_glu_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_glu_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool2d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_mish_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pdist_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu6_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_tanhshrink_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_loss_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_bilinear_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pca_lowrank_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rand_like_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_blackman_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_lowrank_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float64 2024-08-20T22:14:14.9107844Z 2024-08-20T22:14:17.6934092Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:14:17.7523577Z Running inductor/test_torchinductor_opinfo 24/39 ... [2024-08-20 22:14:17.751878] 2024-08-20T22:14:17.7524709Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:14:17.7527982Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=24', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 22:14:17.752284] 2024-08-20T22:17:30.2101871Z 2024-08-20T22:17:30.2104267Z inductor/test_torchinductor_opinfo 16/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_16.39_a63326a24506f3ff_.log 2024-08-20T22:17:30.2178314Z Running 103 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addbmm_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcmul_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_arange_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argsort_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argsort_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_block_diag_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bmm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_tensors_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bucketize_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cat_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumulative_trapezoid_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_mean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_householder_product_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_median_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mul_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool3d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_batch_norm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose3d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_dropout3d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_huber_loss_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_bilinear_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_nearest-exact_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_linear_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_loss_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_general_cosine_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sparse_mm_reduce_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_int64 2024-08-20T22:17:30.2240276Z 2024-08-20T22:17:32.9023050Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:17:32.9592955Z Running inductor/test_torchinductor_opinfo 25/39 ... [2024-08-20 22:17:32.958810] 2024-08-20T22:17:32.9594234Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:17:32.9598164Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=25', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 22:17:32.959155] 2024-08-20T22:20:11.5736580Z 2024-08-20T22:20:11.5739715Z inductor/test_torchinductor_opinfo 23/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_23.39_a7fd77d968647b56_.log 2024-08-20T22:20:11.5854816Z Running 101 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rand___cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__upsample_bilinear2d_aa_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argwhere_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_baddbmm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cfloat_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cholesky_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_strided_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_mean_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_diagonal_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_ones_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv2d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_ctc_loss_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_dropout2d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_gaussian_nll_loss_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_bicubic_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool2d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu6_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_selu_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_tanhshrink_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_blackman_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_nuttall_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_copy_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_complex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float64 2024-08-20T22:20:11.6050603Z 2024-08-20T22:20:14.4072607Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:20:14.4666387Z Running inductor/test_torchinductor_opinfo 32/39 ... [2024-08-20 22:20:14.466188] 2024-08-20T22:20:14.4667588Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:20:14.4671042Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=32', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 22:20:14.466585] 2024-08-20T22:23:35.6389867Z 2024-08-20T22:23:35.6392517Z inductor/test_torchinductor_opinfo 24/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_24.39_fb1c41859025d92e_.log 2024-08-20T22:23:35.6502253Z Running 91 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__batch_norm_with_update_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_3d_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bmm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ceil_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cfloat_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_complex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumprod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_geometric_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histc_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lerp_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorinv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_bilinear_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_elu_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_embedding_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_glu_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardtanh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_huber_loss_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool2d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_constant_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_rms_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_like_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_0_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_multiple_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_indices_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float16 2024-08-20T22:23:35.6605572Z 2024-08-20T22:23:38.5680869Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:23:38.6272652Z Running inductor/test_torchinductor_opinfo 33/39 ... [2024-08-20 22:23:38.626760] 2024-08-20T22:23:38.6273759Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:23:38.6276864Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=33', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 22:23:38.627192] 2024-08-20T22:25:46.8202718Z 2024-08-20T22:25:46.8205296Z inductor/test_torchinductor_opinfo 25/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_25.39_3e4e6d3066a06c50_.log 2024-08-20T22:25:46.8313303Z Running 92 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmod___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rsub___cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__segment_reduce_lengths_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__upsample_bilinear2d_aa_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_alias_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asinh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_1d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_2d_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_tensors_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chalf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogramdd_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lerp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_tensor_overload_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_layer_norm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_full_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_batch_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_embedding_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_group_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_bicubic_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool2d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multi_head_attention_forward_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_scaled_dot_product_attention_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_unfold_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_nearest_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_bartlett_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_unbiased_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_copy_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trace_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_indices_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_int64 2024-08-20T22:25:46.8416315Z 2024-08-20T22:25:49.5633804Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:25:49.6219690Z Running inductor/test_torchinductor_opinfo 34/39 ... [2024-08-20 22:25:49.621519] 2024-08-20T22:25:49.6220594Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:25:49.6223901Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=34', '--num-shards=39', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 22:25:49.621962] 2024-08-20T22:30:24.5350796Z 2024-08-20T22:30:24.5355521Z inductor/test_torchinductor_opinfo 32/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_32.39_017a19a4d6e1ea48_.log 2024-08-20T22:30:24.5455829Z Running 91 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcdiv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmv_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asinh_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_1d_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bfloat16_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdist_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chalf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_char_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exponential_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogramdd_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svd_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_median_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_neg_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_leaky_relu_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_logsigmoid_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool2d_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_mse_loss_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_constant_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_rrelu_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softplus_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softplus_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_nearest_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsafe_split_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_int64 2024-08-20T22:30:24.5556123Z 2024-08-20T22:30:27.0647264Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:30:27.1224745Z Running inductor/test_torchinductor_dynamic_shapes 2/3 ... [2024-08-20 22:30:27.122009] 2024-08-20T22:30:27.1225965Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:30:27.1228164Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'not serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 22:30:27.122398] 2024-08-20T22:33:44.3516865Z 2024-08-20T22:33:44.3519280Z inductor/test_torchinductor_opinfo 33/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_33.39_ce361c7003ad5094_.log 2024-08-20T22:33:44.3638115Z Running 104 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__unsafe_masked_index_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_allclose_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_arange_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argsort_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_scatter_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_3d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_baddbmm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bernoulli_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bincount_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_and_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bucketize_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ceil_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_corrcoef_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_amin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_prod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_tensor_overload_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_median_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_msort_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool3d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_binary_cross_entropy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_celu_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose2d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cross_entropy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_embedding_bag_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_mse_loss_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unravel_index_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_copy_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_unbiased_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_int64 2024-08-20T22:33:44.3746432Z 2024-08-20T22:33:47.3583146Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:33:47.4177747Z Running inductor/test_torchinductor_dynamic_shapes 3/3 ... [2024-08-20 22:33:47.417241] 2024-08-20T22:33:47.4179042Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:33:47.4182644Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'not serial', '--shard-id=3', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 22:33:47.417706] 2024-08-20T22:37:18.7983013Z 2024-08-20T22:37:18.7985350Z inductor/test_torchinductor_opinfo 34/39 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_34.39_70b95a8e4a883375_.log 2024-08-20T22:37:18.8043726Z Running 90 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rand___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addbmm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_allclose_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_partial_views_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan2_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bernoulli_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cfloat_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_permuted_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_strided_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_geqrf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_qr_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_tensor_overload_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_pool2d_with_indices_backward_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nextafter_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool3d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv1d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose2d_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_gaussian_nll_loss_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_area_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_bilinear_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_nearest_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool1d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool3d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_loss_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_unbiased_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unravel_index_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_int32 2024-08-20T22:37:18.8097894Z 2024-08-20T22:37:21.4235828Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:37:21.4811620Z Running dynamo/test_modules 1/1 ... [2024-08-20 22:37:21.480739] 2024-08-20T22:37:21.4812558Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:37:21.4815627Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_modules.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 22:37:21.481127] 2024-08-20T22:37:45.5881530Z 2024-08-20T22:37:45.5885773Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_7ff66a7c25439726_.log 2024-08-20T22:37:45.5970743Z Running 119 items in this shard: test/dynamo/test_modules.py::NNModuleTests::test_access_by_keys, test/dynamo/test_modules.py::NNModuleTests::test_basicmodule1, test/dynamo/test_modules.py::NNModuleTests::test_basicmodule2, test/dynamo/test_modules.py::NNModuleTests::test_call_fn_with_non_const_inputs_safe, test/dynamo/test_modules.py::NNModuleTests::test_cfgmod, test/dynamo/test_modules.py::NNModuleTests::test_children, test/dynamo/test_modules.py::NNModuleTests::test_constloop, test/dynamo/test_modules.py::NNModuleTests::test_conv_call_forward_directly, test/dynamo/test_modules.py::NNModuleTests::test_conv_call_super_forward_directly, test/dynamo/test_modules.py::NNModuleTests::test_conv_transpose_call_forward_directly, test/dynamo/test_modules.py::NNModuleTests::test_conv_transpose_call_super_forward_directly, test/dynamo/test_modules.py::NNModuleTests::test_densenet, test/dynamo/test_modules.py::NNModuleTests::test_enumvalues, test/dynamo/test_modules.py::NNModuleTests::test_fnmember, test/dynamo/test_modules.py::NNModuleTests::test_fnmembercmp1, test/dynamo/test_modules.py::NNModuleTests::test_fnmembercmp2, test/dynamo/test_modules.py::NNModuleTests::test_forward_directly, test/dynamo/test_modules.py::NNModuleTests::test_generation_tag, test/dynamo/test_modules.py::NNModuleTests::test_hasattr, test/dynamo/test_modules.py::NNModuleTests::test_intarg, test/dynamo/test_modules.py::NNModuleTests::test_iseval1, test/dynamo/test_modules.py::NNModuleTests::test_iseval2, test/dynamo/test_modules.py::NNModuleTests::test_isnonelayer, test/dynamo/test_modules.py::NNModuleTests::test_istraining1, test/dynamo/test_modules.py::NNModuleTests::test_istraining2, test/dynamo/test_modules.py::NNModuleTests::test_layerlist, test/dynamo/test_modules.py::NNModuleTests::test_lazy_module1, test/dynamo/test_modules.py::NNModuleTests::test_lazy_module2, test/dynamo/test_modules.py::NNModuleTests::test_lazy_module3, test/dynamo/test_modules.py::NNModuleTests::test_lazy_module4, test/dynamo/test_modules.py::NNModuleTests::test_lazy_module5, test/dynamo/test_modules.py::NNModuleTests::test_lazy_module6, test/dynamo/test_modules.py::NNModuleTests::test_lazy_module7, test/dynamo/test_modules.py::NNModuleTests::test_lazy_module_kwargs, test/dynamo/test_modules.py::NNModuleTests::test_lazy_module_no_cls_to_become, test/dynamo/test_modules.py::NNModuleTests::test_module_attribute_precedence, test/dynamo/test_modules.py::NNModuleTests::test_module_call_module_with_static_forward, test/dynamo/test_modules.py::NNModuleTests::test_module_class_method, test/dynamo/test_modules.py::NNModuleTests::test_module_comparison, test/dynamo/test_modules.py::NNModuleTests::test_module_forward_has_graph_break, test/dynamo/test_modules.py::NNModuleTests::test_module_guard_name_is_valid, test/dynamo/test_modules.py::NNModuleTests::test_module_name_string, test/dynamo/test_modules.py::NNModuleTests::test_module_property, test/dynamo/test_modules.py::NNModuleTests::test_module_static_method, test/dynamo/test_modules.py::NNModuleTests::test_moduledict, test/dynamo/test_modules.py::NNModuleTests::test_moduledict_custom, test/dynamo/test_modules.py::NNModuleTests::test_modulelist, test/dynamo/test_modules.py::NNModuleTests::test_modulelist_custom, test/dynamo/test_modules.py::NNModuleTests::test_modulelist_nested, test/dynamo/test_modules.py::NNModuleTests::test_modulemethod1, test/dynamo/test_modules.py::NNModuleTests::test_modulemethod2, test/dynamo/test_modules.py::NNModuleTests::test_named_children, test/dynamo/test_modules.py::NNModuleTests::test_nn_moduledict_contains, test/dynamo/test_modules.py::NNModuleTests::test_parameterdict, test/dynamo/test_modules.py::NNModuleTests::test_parameterdict_custom, test/dynamo/test_modules.py::NNModuleTests::test_parameters1, test/dynamo/test_modules.py::NNModuleTests::test_parameters2, test/dynamo/test_modules.py::NNModuleTests::test_parameters3, test/dynamo/test_modules.py::NNModuleTests::test_parameters4, test/dynamo/test_modules.py::NNModuleTests::test_parameters5, test/dynamo/test_modules.py::NNModuleTests::test_self_mutating1, test/dynamo/test_modules.py::NNModuleTests::test_seq, test/dynamo/test_modules.py::NNModuleTests::test_sequential_with_duplicated_module, test/dynamo/test_modules.py::NNModuleTests::test_sequential_with_duplicated_module2, test/dynamo/test_modules.py::NNModuleTests::test_simple_torch_function, test/dynamo/test_modules.py::NNModuleTests::test_stringmember, test/dynamo/test_modules.py::NNModuleTests::test_submodules1, test/dynamo/test_modules.py::NNModuleTests::test_submodules2, test/dynamo/test_modules.py::NNModuleTests::test_super1, test/dynamo/test_modules.py::NNModuleTests::test_super2, test/dynamo/test_modules.py::NNModuleTests::test_super_class_method, test/dynamo/test_modules.py::NNModuleTests::test_tensorlist, test/dynamo/test_modules.py::NNModuleTests::test_torch_function_with_closure, test/dynamo/test_modules.py::NNModuleTests::test_torch_mangled_class_name, test/dynamo/test_modules.py::NNModuleTests::test_unsupportedmethod, test/dynamo/test_modules.py::NNModuleTests::test_unsupportedmodule, test/dynamo/test_modules.py::NNModuleTests::test_viamodulecall, test/dynamo/test_modules.py::OptimizedModuleTest::test_assign_does_not_exist, test/dynamo/test_modules.py::OptimizedModuleTest::test_attr, test/dynamo/test_modules.py::OptimizedModuleTest::test_attr_precedence, test/dynamo/test_modules.py::OptimizedModuleTest::test_backward_hooks, test/dynamo/test_modules.py::OptimizedModuleTest::test_buffer_order, test/dynamo/test_modules.py::OptimizedModuleTest::test_cache_size_limit_on_guarded_nn_modules, test/dynamo/test_modules.py::OptimizedModuleTest::test_composition, test/dynamo/test_modules.py::OptimizedModuleTest::test_composition_with_opt_mod, test/dynamo/test_modules.py::OptimizedModuleTest::test_dir, test/dynamo/test_modules.py::OptimizedModuleTest::test_dunder_call_explicitly, test/dynamo/test_modules.py::OptimizedModuleTest::test_globals_change_in_other_file, test/dynamo/test_modules.py::OptimizedModuleTest::test_guard_on_torch_nn_modules, test/dynamo/test_modules.py::OptimizedModuleTest::test_hooks_allowed_modules, test/dynamo/test_modules.py::OptimizedModuleTest::test_hooks_allowed_modules_compiles, test/dynamo/test_modules.py::OptimizedModuleTest::test_hooks_allowed_modules_compiles_self_contained, test/dynamo/test_modules.py::OptimizedModuleTest::test_hooks_inner, test/dynamo/test_modules.py::OptimizedModuleTest::test_hooks_outer, test/dynamo/test_modules.py::OptimizedModuleTest::test_hooks_skip_guards, test/dynamo/test_modules.py::OptimizedModuleTest::test_inline_inbuilt_nn_modules, test/dynamo/test_modules.py::OptimizedModuleTest::test_mark_static_nn_module_tensor, test/dynamo/test_modules.py::OptimizedModuleTest::test_mark_static_previously_seen_tensor, test/dynamo/test_modules.py::OptimizedModuleTest::test_mark_static_with_freezing, test/dynamo/test_modules.py::OptimizedModuleTest::test_module_dict_iter_keys, test/dynamo/test_modules.py::OptimizedModuleTest::test_module_dict_iter_name, test/dynamo/test_modules.py::OptimizedModuleTest::test_module_dict_iter_values, test/dynamo/test_modules.py::OptimizedModuleTest::test_module_order, test/dynamo/test_modules.py::OptimizedModuleTest::test_module_patch, test/dynamo/test_modules.py::OptimizedModuleTest::test_module_setattr, test/dynamo/test_modules.py::OptimizedModuleTest::test_monkeypatching_forward, test/dynamo/test_modules.py::OptimizedModuleTest::test_nn_module, test/dynamo/test_modules.py::OptimizedModuleTest::test_no_op_assignment, test/dynamo/test_modules.py::OptimizedModuleTest::test_no_recompile_on_nn_guarded_modules, test/dynamo/test_modules.py::OptimizedModuleTest::test_param_order, test/dynamo/test_modules.py::OptimizedModuleTest::test_recompile_limit_on_freed_module, test/dynamo/test_modules.py::OptimizedModuleTest::test_recursion, test/dynamo/test_modules.py::OptimizedModuleTest::test_save_and_load_all_backends, test/dynamo/test_modules.py::OptimizedModuleTest::test_save_and_load_inductor, test/dynamo/test_modules.py::OptimizedModuleTest::test_setattr_on_compiled_module, test/dynamo/test_modules.py::OptimizedModuleTest::test_to, test/dynamo/test_modules.py::OptimizedModuleTest::test_udo_instance_method_as_hook, test/dynamo/test_modules.py::OptimizedModuleTest::test_unspec_non_inlinable_module, test/dynamo/test_modules.py::OptimizedModuleTest::test_unspecialized_seq 2024-08-20T22:37:45.6047553Z 2024-08-20T22:37:48.2296363Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:37:48.2890675Z Running dynamo/test_export 1/1 ... [2024-08-20 22:37:48.288490] 2024-08-20T22:37:48.2891757Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:37:48.2894282Z Executing ['/opt/conda/envs/py_3.12/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 22:37:48.288912] 2024-08-20T22:38:10.3497632Z 2024-08-20T22:38:10.3499972Z dynamo/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_1.1_719ccbd261b5ecff_.log 2024-08-20T22:38:10.3643207Z Running 185 items in this shard: test/dynamo/test_export.py::ExportTests::test_access_class_method_from_user_class_attr, test/dynamo/test_export.py::ExportTests::test_access_class_method_from_user_class_builtin, test/dynamo/test_export.py::ExportTests::test_byte_tensor_does_not_crash, test/dynamo/test_export.py::ExportTests::test_capture_symbolic_tracing_simple_within_fake_mode, test/dynamo/test_export.py::ExportTests::test_capture_symbolic_tracing_within_fake_mode, test/dynamo/test_export.py::ExportTests::test_cond_free_variables_overlapping, test/dynamo/test_export.py::ExportTests::test_cond_op_param_buffer_lifted, test/dynamo/test_export.py::ExportTests::test_cond_raise_user_error_on_branch_args_mismatch, test/dynamo/test_export.py::ExportTests::test_cond_raise_user_error_on_branch_return_multiple_tensors, test/dynamo/test_export.py::ExportTests::test_cond_raise_user_error_on_branch_return_non_tensor, test/dynamo/test_export.py::ExportTests::test_cond_raise_user_error_on_mismatch_return_length, test/dynamo/test_export.py::ExportTests::test_cond_raise_user_error_on_mismatch_return_tensor_meta, test/dynamo/test_export.py::ExportTests::test_cond_raise_user_error_on_missing_args, test/dynamo/test_export.py::ExportTests::test_cond_raise_user_error_on_non_list_operands, test/dynamo/test_export.py::ExportTests::test_cond_raise_user_error_on_non_tensor_operands, test/dynamo/test_export.py::ExportTests::test_cond_raise_user_error_on_unsupported_pred, test/dynamo/test_export.py::ExportTests::test_cond_supported_pred_types, test/dynamo/test_export.py::ExportTests::test_constraint_violation_error_messages, test/dynamo/test_export.py::ExportTests::test_dataclass_input_output, test/dynamo/test_export.py::ExportTests::test_dict_return, test/dynamo/test_export.py::ExportTests::test_dict_return_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_dupes, test/dynamo/test_export.py::ExportTests::test_dupes_2, test/dynamo/test_export.py::ExportTests::test_dupes_2_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_dupes_and_bypass, test/dynamo/test_export.py::ExportTests::test_dupes_and_bypass_reorder_with_non_tensor_arg, test/dynamo/test_export.py::ExportTests::test_dupes_and_bypass_reorder_with_non_tensor_arg_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_dupes_and_bypass_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_dupes_and_bypass_with_non_tensor_arg, test/dynamo/test_export.py::ExportTests::test_dupes_and_bypass_with_non_tensor_arg_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_dupes_and_bypass_with_non_tensor_output, test/dynamo/test_export.py::ExportTests::test_dupes_and_bypass_with_non_tensor_output_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_dupes_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_dynamic_slicing, test/dynamo/test_export.py::ExportTests::test_dynamic_slicing_invalid, test/dynamo/test_export.py::ExportTests::test_dynamic_slicing_simple, test/dynamo/test_export.py::ExportTests::test_dynamo_list_index, test/dynamo/test_export.py::ExportTests::test_empty, test/dynamo/test_export.py::ExportTests::test_enforce_equalities, test/dynamo/test_export.py::ExportTests::test_export, test/dynamo/test_export.py::ExportTests::test_export_compare_optimize_with_make_fx, test/dynamo/test_export.py::ExportTests::test_export_cond_in_aten_symbolic, test/dynamo/test_export.py::ExportTests::test_export_control_flow_with_getattr, test/dynamo/test_export.py::ExportTests::test_export_decomp, test/dynamo/test_export.py::ExportTests::test_export_decomp_asserts_bad_args, test/dynamo/test_export.py::ExportTests::test_export_defaults_ok, test/dynamo/test_export.py::ExportTests::test_export_dynamic_control_flow_error, test/dynamo/test_export.py::ExportTests::test_export_dynamic_dim_cleanup, test/dynamo/test_export.py::ExportTests::test_export_dynamic_dim_not_1, test/dynamo/test_export.py::ExportTests::test_export_dynamic_dim_raise_on_compound_range_constraint, test/dynamo/test_export.py::ExportTests::test_export_dynamic_dim_range_constraint, test/dynamo/test_export.py::ExportTests::test_export_fast_binary_broadcast_check, test/dynamo/test_export.py::ExportTests::test_export_fast_binary_broadcast_check_unbacked, test/dynamo/test_export.py::ExportTests::test_export_graph_bypass, test/dynamo/test_export.py::ExportTests::test_export_graph_bypass_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_export_graph_with_complex_reorder, test/dynamo/test_export.py::ExportTests::test_export_graph_with_complex_reorder_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_export_graph_with_list, test/dynamo/test_export.py::ExportTests::test_export_graph_with_list_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_export_identity, test/dynamo/test_export.py::ExportTests::test_export_mark_dynamic_conflict_dynamic_dim, test/dynamo/test_export.py::ExportTests::test_export_masking_with_no_grad, test/dynamo/test_export.py::ExportTests::test_export_meta, test/dynamo/test_export.py::ExportTests::test_export_meta_val, test/dynamo/test_export.py::ExportTests::test_export_mismatched_out, test/dynamo/test_export.py::ExportTests::test_export_mismatched_out_2, test/dynamo/test_export.py::ExportTests::test_export_mismatched_out_2_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_export_mismatched_out_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_export_module_specify_constraints_signature, test/dynamo/test_export.py::ExportTests::test_export_multi_dynamic_dim_constraint, test/dynamo/test_export.py::ExportTests::test_export_multi_dynamic_dim_unsafe_relationship, test/dynamo/test_export.py::ExportTests::test_export_nn_module_stack_patched_module, test/dynamo/test_export.py::ExportTests::test_export_no_raise, test/dynamo/test_export.py::ExportTests::test_export_no_tensor_computation_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_export_pass_arg_by_name, test/dynamo/test_export.py::ExportTests::test_export_pass_arg_by_name_star_args, test/dynamo/test_export.py::ExportTests::test_export_persist_assert, test/dynamo/test_export.py::ExportTests::test_export_preserve_constraints_as_metadata_scalar, test/dynamo/test_export.py::ExportTests::test_export_preserve_constraints_as_metadata_tensor, test/dynamo/test_export.py::ExportTests::test_export_preserves_nn_module_stack_for_get_attr, test/dynamo/test_export.py::ExportTests::test_export_raise_guard_full_constraint, test/dynamo/test_export.py::ExportTests::test_export_raise_guard_partial_constraint, test/dynamo/test_export.py::ExportTests::test_export_raise_on_relationship, test/dynamo/test_export.py::ExportTests::test_export_shape_control_flow_1, test/dynamo/test_export.py::ExportTests::test_export_specialized_int, test/dynamo/test_export.py::ExportTests::test_export_symbolic_shape, test/dynamo/test_export.py::ExportTests::test_export_with_args_and_empty_kwargs, test/dynamo/test_export.py::ExportTests::test_export_with_args_with_default_None, test/dynamo/test_export.py::ExportTests::test_export_with_args_with_default_float, test/dynamo/test_export.py::ExportTests::test_export_with_args_with_default_tensor, test/dynamo/test_export.py::ExportTests::test_export_with_args_with_default_tuple, test/dynamo/test_export.py::ExportTests::test_export_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_export_with_builtin_op_on_assume_constant, test/dynamo/test_export.py::ExportTests::test_export_with_cond_branches_calling_methods, test/dynamo/test_export.py::ExportTests::test_export_with_cond_closure, test/dynamo/test_export.py::ExportTests::test_export_with_cond_dynamic_shape_pred, test/dynamo/test_export.py::ExportTests::test_export_with_cond_with_closed_function, test/dynamo/test_export.py::ExportTests::test_export_with_constant_dict_values, test/dynamo/test_export.py::ExportTests::test_export_with_constant_free_function, test/dynamo/test_export.py::ExportTests::test_export_with_constant_free_function_and_class_method, test/dynamo/test_export.py::ExportTests::test_export_with_constant_free_function_and_class_method_multiarg, test/dynamo/test_export.py::ExportTests::test_export_with_constant_free_function_and_class_method_multiarg_diff, test/dynamo/test_export.py::ExportTests::test_export_with_constant_in_unspecialized_nn_module, test/dynamo/test_export.py::ExportTests::test_export_with_constant_list_nonzero, test/dynamo/test_export.py::ExportTests::test_export_with_constant_list_nonzero_free_function, test/dynamo/test_export.py::ExportTests::test_export_with_constant_method_on_module, test/dynamo/test_export.py::ExportTests::test_export_with_constant_method_on_module_invoke_twice, test/dynamo/test_export.py::ExportTests::test_export_with_constant_none_control_flow, test/dynamo/test_export.py::ExportTests::test_export_with_constant_none_control_flow_free_func, test/dynamo/test_export.py::ExportTests::test_export_with_constant_not_none_control_flow, test/dynamo/test_export.py::ExportTests::test_export_with_constant_not_none_control_flow_free_func, test/dynamo/test_export.py::ExportTests::test_export_with_constant_not_none_control_flow_pos, test/dynamo/test_export.py::ExportTests::test_export_with_constant_not_return_const, test/dynamo/test_export.py::ExportTests::test_export_with_constant_tuple_nonzero, test/dynamo/test_export.py::ExportTests::test_export_with_functools_wrapped_fn, test/dynamo/test_export.py::ExportTests::test_export_with_functools_wrapped_method, test/dynamo/test_export.py::ExportTests::test_export_with_kwargs, test/dynamo/test_export.py::ExportTests::test_export_with_kwargs_and_empty_args, test/dynamo/test_export.py::ExportTests::test_export_with_kwargs_with_default_None, test/dynamo/test_export.py::ExportTests::test_export_with_kwargs_with_default_float, test/dynamo/test_export.py::ExportTests::test_export_with_kwargs_with_default_tensor, test/dynamo/test_export.py::ExportTests::test_export_with_kwargs_with_default_tuple, test/dynamo/test_export.py::ExportTests::test_export_with_map_cond, test/dynamo/test_export.py::ExportTests::test_export_with_map_zero_sized_tensor, test/dynamo/test_export.py::ExportTests::test_export_with_map_zero_sized_tensor_suppress_errors, test/dynamo/test_export.py::ExportTests::test_export_with_module_layer, test/dynamo/test_export.py::ExportTests::test_export_with_nonzero_static, test/dynamo/test_export.py::ExportTests::test_export_with_parameters, test/dynamo/test_export.py::ExportTests::test_export_with_shallow_list_copy_with_side_effects, test/dynamo/test_export.py::ExportTests::test_export_with_shallow_list_copy_wo_side_effects, test/dynamo/test_export.py::ExportTests::test_export_with_stack_trace, test/dynamo/test_export.py::ExportTests::test_export_with_symbool_inputs, test/dynamo/test_export.py::ExportTests::test_export_with_wrapped_fn, test/dynamo/test_export.py::ExportTests::test_exported_graph_serialization, test/dynamo/test_export.py::ExportTests::test_func_return, test/dynamo/test_export.py::ExportTests::test_func_return_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_fx_pytree, test/dynamo/test_export.py::ExportTests::test_input_container_type, test/dynamo/test_export.py::ExportTests::test_invalid_input_global, test/dynamo/test_export.py::ExportTests::test_invalid_input_global_multiple_access, test/dynamo/test_export.py::ExportTests::test_invalid_input_nonlocal, test/dynamo/test_export.py::ExportTests::test_invalid_input_unused_nonlocal_ok, test/dynamo/test_export.py::ExportTests::test_list_contains, test/dynamo/test_export.py::ExportTests::test_list_not_contains, test/dynamo/test_export.py::ExportTests::test_list_unpack, test/dynamo/test_export.py::ExportTests::test_list_unpack_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_map_cond_param_buffer_lifted, test/dynamo/test_export.py::ExportTests::test_mixed_real_and_fake_inputs, test/dynamo/test_export.py::ExportTests::test_multiple_outputs_op_with_evaluator, test/dynamo/test_export.py::ExportTests::test_nested_cond_op_param_buffer_lifted, test/dynamo/test_export.py::ExportTests::test_no_tensor_computation, test/dynamo/test_export.py::ExportTests::test_no_tensor_computation_2, test/dynamo/test_export.py::ExportTests::test_no_tensor_computation_2_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_no_tensor_computation_fail, test/dynamo/test_export.py::ExportTests::test_not_functionalize, test/dynamo/test_export.py::ExportTests::test_param_buffer_safe_from_mutation_recurse, test/dynamo/test_export.py::ExportTests::test_param_buffer_safe_from_mutation_simple, test/dynamo/test_export.py::ExportTests::test_pre_dispatch_simple, test/dynamo/test_export.py::ExportTests::test_predispatch_with_for_out_dtype, test/dynamo/test_export.py::ExportTests::test_predispatch_with_for_out_dtype_nested, test/dynamo/test_export.py::ExportTests::test_predispatch_with_higher_order, test/dynamo/test_export.py::ExportTests::test_predispatch_with_higher_order_nested, test/dynamo/test_export.py::ExportTests::test_preserve_fx_node_metadata, test/dynamo/test_export.py::ExportTests::test_preserve_fx_node_metadata_graph_break, test/dynamo/test_export.py::ExportTests::test_preserve_fx_node_metadata_inline, test/dynamo/test_export.py::ExportTests::test_preserve_fx_node_metadata_recompile, test/dynamo/test_export.py::ExportTests::test_remove_redundant_dynamic_dim_in_error_message, test/dynamo/test_export.py::ExportTests::test_retracibility, test/dynamo/test_export.py::ExportTests::test_retracibility_dict_container_inp_out, test/dynamo/test_export.py::ExportTests::test_retracibility_nested_list_out, test/dynamo/test_export.py::ExportTests::test_round_dynamic_shapes, test/dynamo/test_export.py::ExportTests::test_sum_param, test/dynamo/test_export.py::ExportTests::test_sym_contains, test/dynamo/test_export.py::ExportTests::test_symbolic_tracing_within_fake_mode_with_constraints, test/dynamo/test_export.py::ExportTests::test_symbolic_tracing_within_fake_mode_with_constraints_with_parameters, test/dynamo/test_export.py::ExportTests::test_symbool, test/dynamo/test_export.py::ExportTests::test_torch_inference_mode_ctx, test/dynamo/test_export.py::ExportTests::test_trivial_constraint, test/dynamo/test_export.py::ExportTests::test_uncaptured_higher_order_op_error_not_suppresed, test/dynamo/test_export.py::ExportTests::test_untracked_inputs_in_constraints, test/dynamo/test_export.py::ExportTests::test_zeroes_in_and_out_different_shape_on_test, test/dynamo/test_export.py::ExportTests::test_zeroes_in_and_out_different_shape_on_test_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_zeroes_in_new_shape_scalar_out, test/dynamo/test_export.py::ExportTests::test_zeroes_in_new_shape_scalar_out_permute, test/dynamo/test_export.py::ExportTests::test_zeroes_in_new_shape_scalar_out_permute_dupe_and_bypass 2024-08-20T22:38:10.3780627Z 2024-08-20T22:38:13.1826236Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:38:13.2414014Z Running inductor/test_compiled_autograd 1/1 ... [2024-08-20 22:38:13.240868] 2024-08-20T22:38:13.2415057Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:38:13.2417867Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_compiled_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 22:38:13.241301] 2024-08-20T22:38:55.2246212Z 2024-08-20T22:38:55.2248529Z inductor/test_torchinductor_dynamic_shapes 2/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_2.3_7c1d2ea5208fd0c0_.log 2024-08-20T22:38:55.2384413Z Running 209 items in this shard: test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_add_complex3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_add_complex5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_add_inplace_permuted_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_addmm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_aoti_eager_override_registration_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_aoti_eager_with_scalar_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_arange1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_arange2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_arange5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_argmax_argmin1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_argmax_argmin_with_nan_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_argmax_min_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_as_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d_backward2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool3d_backward3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bitwise2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bmm2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_buffer_batch_norm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_builtins_round_float_ndigits_neg_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_builtins_round_int_ndigits_pos_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_unbacked_legacy_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cauchy_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_clamp_type_promotion_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_complex_fallback_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_computed_buffer_inlining_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_concat_add_inplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_config_option_dont_assume_alignment_cudagraphs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_config_option_dont_assume_alignment_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_const_int32_to_float_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_constant_pad_1d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_convolution1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_convolution4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cos_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cumsum_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cumsum_inf_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cumsum_pattern_matcher_issue_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cumsum_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_data_type_propogation_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dist_bf16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div_by_zero_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div_precision_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div_prim_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dropout2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dropout3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dropout_deterministic_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dropout_trivial_1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_elu_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_embedding_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_empty_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_exp2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_expand_as_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_expand_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_expanded_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fallback_mutable_op_list_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_flip_cat_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fmin_fmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_forced_buffer_realize_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fractional_max_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fractional_max_pool2d3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fractional_max_pool2d4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_full_truncation_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_functionalize_rng_wrappers_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fuse_large_params_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_gather1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_gather_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_propagation_abs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_put_deterministic_fallback_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inductor_assert_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inf_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inner_fn_str_and_stride_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inplace_add_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inplace_mixed_dtype_ops_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inplace_resize_as_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inplace_where_pointwise_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_isinf_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_lerp_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_like_rands_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_linear_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_linear_mixed_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_log_softmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_logcumsumexp_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_logcumsumexp_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_logsumexp_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d7_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d_with_indices_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mean_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_min_max_reduction_nan_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mixed_mm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mm_mixed_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mm_views_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_move_arange_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multi_device_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multi_gpu_recompile_on_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multilayer_var_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mutations_loop_fusion_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_nan_to_num_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_narrow_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_neg_max_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_new_empty_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_nll_loss_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_nonzero_unbacked_refinement_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_permute2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_philox_rand_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pixel_shuffle_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_bessel_j1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_bessel_y1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_chebyshev_polynomial_t_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_chebyshev_polynomial_v_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_chebyshev_polynomial_w_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_entr_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_gammaln_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_i0e_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_legendre_polynomial_p_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_log_ndtr_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_modified_bessel_k0_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_psi_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_round_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_scaled_modified_bessel_k0_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_scaled_modified_bessel_k1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_shifted_chebyshev_polynomial_u_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_shifted_chebyshev_polynomial_v_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_sinc_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_xlog1py_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pow_int_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_prod_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_randint_int64_mod_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_randint_kernel_count_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reduction2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reduction3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reduction5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reflection_pad2d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reflection_pad2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_repeat_as_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_repeat_interleave_2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_resize_as_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_resize_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reuse_buffers_with_aliasing_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_roi_align_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scaled_dot_product_efficient_attention_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scatter4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scatter_add2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_setitem_with_int_parameter_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sgn_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sign_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_single_elem_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_mutation1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_mutation2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_mutation3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_scatter4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_view_with_graph_break_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_softmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sort_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_cumsum_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_squeeze2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_squeeze_varargs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum_keepdims_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tan_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tanh_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tensor2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tensor_index_put_slice_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tmp_not_defined_issue2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tmp_not_defined_issue3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_topk_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_transpose_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_uint4x2_mixed_mm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_uint_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unbacked_floordiv_simplify_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unbacked_floordiv_simplify_errors_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unbind_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unspec_inputs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unsqueeze_inplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_bilinear2d_a_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_var_correction_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_vdd_clamp_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_vectorized_ops_masked_var_novec_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_view_as_real_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_views6_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_where_with_logical_op_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_zero_element_mutation_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_bool_mask_nobreak_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_float_is_integer_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_floor_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_interpolate_ceil_eq_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_item_bool_nobreak_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_item_unbacked_stride_nobreak_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_math_ops_op1_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_math_ops_op2_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_math_ops_op3_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_math_ops_op5_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_nonzero_size_factory_nobreak_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_noops_tensor_repropagate_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_sub_constant_folding_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_unbacked_reduction_cpu 2024-08-20T22:38:55.2512253Z 2024-08-20T22:38:57.6456578Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:38:57.7083764Z Running inductor/test_cudagraph_trees 1/1 ... [2024-08-20 22:38:57.707962] 2024-08-20T22:38:57.7084438Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:38:57.7087571Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_cudagraph_trees.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 22:38:57.708404] 2024-08-20T22:39:01.4759515Z 2024-08-20T22:39:01.4761921Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_29140dd6bb4784a3_.log 2024-08-20T22:39:01.4763868Z 2024-08-20T22:39:04.0674701Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:39:04.1267487Z Running inductor/test_split_cat_fx_passes 1/1 ... [2024-08-20 22:39:04.126101] 2024-08-20T22:39:04.1269071Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:39:04.1271646Z Executing ['/opt/conda/envs/py_3.12/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 22:39:04.126576] 2024-08-20T22:39:07.9608530Z 2024-08-20T22:39:07.9611122Z 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_207d22db197a9cb8_.log 2024-08-20T22:39:07.9613094Z 2024-08-20T22:39:10.6010146Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:39:10.6588308Z Running inductor/test_cpu_repro 2/2 ... [2024-08-20 22:39:10.658363] 2024-08-20T22:39:10.6589397Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:39:10.6592810Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-08-20 22:39:10.658741] 2024-08-20T22:42:28.0994602Z 2024-08-20T22:42:28.0997761Z inductor/test_torchinductor_dynamic_shapes 3/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_3.3_e2ff716d2cc50235_.log 2024-08-20T22:42:28.1279816Z Running 244 items in this shard: test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test__unsafe_masked_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test__unsafe_masked_index_put_accumulate_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_adaptive_avg_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_adaptive_avg_pool_with_output_size_0_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_adaptive_max_pool2d1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_add_complex4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_add_const_float_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_add_const_int_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_adding_tensor_offsets_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_angle_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_aoti_eager_dtype_device_layout_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_aoti_eager_support_str_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_arange3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_arange4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_argmax_argmin_with_duplicates_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_argmax_to_float_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_as_strided_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d6_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d7_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d_backward3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d_backward4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool3d_backward2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool3d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bernoulli2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bitwise3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bmm1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_add_autotune_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_computed_offsets_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_buffer_copied_in_graph_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_buffer_copied_in_graph_with_different_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_buffer_use_after_remove_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_builtins_round_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_builtins_round_float_ndigits_pos_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_builtins_round_float_ndigits_zero_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_empty_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_extern_kernel_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_of_loops_and_extern_kernel_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_upcasting_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_clamp_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_clone_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_complex_memory_overlap_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_config_option_dont_assume_alignment_recompiles_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_consecutive_split_cumprod_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_consecutive_split_cumsum_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_constant_pad_2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_constant_pad_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv2d_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv3d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv_bn_fuse_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_convolution3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_convolution5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cumsum_no_mask_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_custom_op_1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_custom_op_3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_custom_op_fixed_layout_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_custom_op_fixed_layout_sequential_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_custom_scan_op_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_custom_scan_would_split_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dense_mask_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_device_assert_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div7_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div9_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtype_mismatch_issue_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtype_sympy_expr_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_embedding_bag_byte_unpack_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_embedding_bag_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_empty1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_erfc_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fallback_mutable_op_basic_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fallback_mutable_op_no_mutated_tensors_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fallback_mutable_op_with_return_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fft_real_input_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fill2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_float_index_expression_type_promotion_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_floordiv_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fractional_max_pool2d1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fuse_tiled_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_gather2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_gather3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_gelu_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_getitem_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_horizonal_fusion2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_propagation_device_assert_masked_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_propagation_flip_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_propagation_floordiv_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_put1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_put3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_put_as_masked_fill_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_put_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_put_reinplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_select_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inductor_layout_optimization_input_mutations_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inplace_activations_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_input_mutation2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_input_mutation4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_int_input_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_kernel_names_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_kwargs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_large_broadcast_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_large_grid_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_large_offset_pointwise_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_large_pointwise_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_large_strided_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_layer_norm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_leaky_relu_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_like_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_linspace3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_log2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_low_memory_max_pool_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_masked_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d_with_indices_backward3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d_with_indices_backward5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d_with_indices_backward6_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_min_max_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_misaligned_address_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mixed_mm3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mul_index_expr_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multi_gpu_device_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multi_threading_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multilayer_any_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multilayer_prime_size_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multilayer_sum_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_nll_loss_forward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_one_hot_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_output_strides_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pad_view_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pattern_matcher_multi_user_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_permute1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_bessel_j0_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_digamma_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_exp2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_expit_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_gammaincc_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_hermite_polynomial_he_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_i0_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_i1e_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_log1p_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_logit_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_modified_bessel_i1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_modified_bessel_k1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_shifted_chebyshev_polynomial_t_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_spherical_bessel_j0_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_xlogy_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pow2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_randint_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_randn_generator_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reduction1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reduction4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reduction_config_limit_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reinterpret_dtypeview_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_relu_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_remainder_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_remove_no_ops_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_repeat_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_repeat_interleave_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_require_stride_expanded_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_roll_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scalar_output_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scatter1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scatter2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scatter_reduce2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scatter_reduce3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sdpa_unaligned_mask_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_shape_padding_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_should_pad_bench_for_bmm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sigmoid_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_signbit_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sin_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_single_elem_indirect_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sizehint_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_scatter2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_scatter3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_scatter_reinplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_softmax_one_kernel_loop_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_softmax_one_kernel_persist_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sort_stable_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sort_transpose_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_cumprod_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_failed_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_with_integer_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_with_list_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_with_sizes_with_unbacked_symints_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_std_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_strided_inputs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum_int_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tensor3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tensor_index_slice_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tmp_not_defined_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_to_device_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_to_memory_format_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unfold_zero_dimension_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unsqueeze_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_bicubic2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_bilinear2d_b_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_cat_conv_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_nearest1d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_nearest2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_nearest3d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_vectorized_ops_masked_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_vertical_fusion1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_view_on_aliased_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_views5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_views7_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_xblock_divides_xnumel_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_zero_dim_reductions_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_zeros_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_abs_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_constant_fold_uniform_value_dynamic_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_dynamic_stride_nobreak_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_float_item_neginf_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_float_item_return_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_item_materialize_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_item_nobreak_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_item_return_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_item_to_inputs_kernel_nobreak_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_math_ops_op8_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_slice_index_changing_sign_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_slice_scatter_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_sort_dynamic_shape_with_check_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_sym_stride_lowering_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_symint_sum_list_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_unbacked_cat_backwards_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_unbacked_index_select_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_unbacked_matmul_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_wrapper_codegen_statically_known_int_or_none_cpu 2024-08-20T22:42:28.1554353Z 2024-08-20T22:42:30.8338010Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:42:30.8922604Z Running dynamo/test_optimizers 1/1 ... [2024-08-20 22:42:30.891737] 2024-08-20T22:42:30.8923507Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:42:30.8925508Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_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 22:42:30.892134] 2024-08-20T22:42:34.4634811Z 2024-08-20T22:42:34.4637676Z dynamo/test_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_optimizers_1.1_37844eed46fd1f04_.log 2024-08-20T22:42:34.4640104Z Running 3 items in this shard: test/dynamo/test_optimizers.py::End2EndTests::test_init_group, test/dynamo/test_optimizers.py::End2EndTests::test_optimizing_over_tensor_with_requires_grad, test/dynamo/test_optimizers.py::End2EndTests::test_state_dict 2024-08-20T22:42:34.4641604Z 2024-08-20T22:42:37.3195893Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:42:37.3894250Z Running dynamo/test_aot_autograd 1/1 ... [2024-08-20 22:42:37.388948] 2024-08-20T22:42:37.3895932Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:42:37.3899479Z Executing ['/opt/conda/envs/py_3.12/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 22:42:37.389321] 2024-08-20T22:43:08.7620229Z 2024-08-20T22:43:08.7622450Z 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_2f2ae20d8627d0bd_.log 2024-08-20T22:43:08.7648233Z Running 41 items in this shard: test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_LSTM, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_alias_inputs, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_autograd_expand_mutation_backwards, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_autograd_expand_mutation_error, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_autograd_expand_mutation_functionalizes, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_autograd_raises_invalid_leaf_set, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_export_joint_simple_repro, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_grad_mode_mutation, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_sequence_nr, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param_non_tensor_arg, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param_non_tensor_arg_list, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_with_global, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_safe, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_unsafe, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_unsafe_control_flow, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_data_ptr_access_copy, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_data_ptr_access_fails_in_backward, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_data_ptr_access_fails_in_forward, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer1, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer2, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer3, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer4, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer5, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph1, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph2, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph3, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph4, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_double_backward_errors, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_eager_sequence_nr, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_grad_inputs_alias_inputs, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_multiple_aot_autograd_calls_dupe_args, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_mutation, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_mutation1, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_negative_testing, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_negative_testing_mutation, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_nn_parameter_construction, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_requires_grad_fake_via_dynamo_recompiles, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_split_with_sizes_aot_autograd_cleans_up_traceback_meta 2024-08-20T22:43:08.7671091Z 2024-08-20T22:43:11.7245643Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:43:11.7852974Z Running export/test_verifier 1/1 ... [2024-08-20 22:43:11.784811] 2024-08-20T22:43:11.7853930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:43:11.7856770Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_verifier.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 22:43:11.785236] 2024-08-20T22:43:15.4562423Z 2024-08-20T22:43:15.4564722Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_1609fce668656d43_.log 2024-08-20T22:43:15.4653788Z Running 10 items in this shard: test/export/test_verifier.py::TestVerifier::test_ep_verifier_basic, test/export/test_verifier.py::TestVerifier::test_ep_verifier_buffer_mutate, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_buffer, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_output, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_param, test/export/test_verifier.py::TestVerifier::test_verifier_basic, test/export/test_verifier.py::TestVerifier::test_verifier_call_module, test/export/test_verifier.py::TestVerifier::test_verifier_higher_order, test/export/test_verifier.py::TestVerifier::test_verifier_nested_invalid_module, test/export/test_verifier.py::TestVerifier::test_verifier_no_functional 2024-08-20T22:43:15.4661351Z 2024-08-20T22:43:18.1709384Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:43:18.2301781Z Running dynamo/test_cudagraphs 1/1 ... [2024-08-20 22:43:18.229695] 2024-08-20T22:43:18.2302886Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:43:18.2306494Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_cudagraphs.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 22:43:18.230110] 2024-08-20T22:43:20.8749023Z 2024-08-20T22:43:20.8751408Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_dc4b913feae48261_.log 2024-08-20T22:43:20.8753228Z 2024-08-20T22:43:23.5924741Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:43:23.6502550Z Running dynamo/test_backends 1/1 ... [2024-08-20 22:43:23.649803] 2024-08-20T22:43:23.6503682Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:43:23.6507505Z Executing ['/opt/conda/envs/py_3.12/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 22:43:23.650239] 2024-08-20T22:43:42.1545975Z 2024-08-20T22:43:42.1548089Z dynamo/test_backends 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backends_1.1_a8e5acea15b15c4e_.log 2024-08-20T22:43:42.1556150Z Running 18 items in this shard: test/dynamo/test_backends.py::TestOptimizations::test_aot_cudagraphs, test/dynamo/test_backends.py::TestOptimizations::test_aot_eager, test/dynamo/test_backends.py::TestOptimizations::test_aot_eager_decomp_partition, test/dynamo/test_backends.py::TestOptimizations::test_aot_ts, test/dynamo/test_backends.py::TestOptimizations::test_eager, test/dynamo/test_backends.py::TestOptimizations::test_eager_noexcept, test/dynamo/test_backends.py::TestOptimizations::test_example_inputs, test/dynamo/test_backends.py::TestOptimizations::test_example_inputs_runtime_use, test/dynamo/test_backends.py::TestOptimizations::test_list_backends, test/dynamo/test_backends.py::TestOptimizations::test_onnxrt, test/dynamo/test_backends.py::TestOptimizations::test_torchscript, test/dynamo/test_backends.py::TestOptimizations::test_tvm, test/dynamo/test_backends.py::NormalizeIRTests::test_inplace_normalize, test/dynamo/test_backends.py::MPSNotSupportedTest::test_mps_not_supported, test/dynamo/test_backends.py::TestExplainWithBackend::test_explain_with_backend, test/dynamo/test_backends.py::TestCustomBackendAPI::test_aot_autograd_api, test/dynamo/test_backends.py::TestCustomBackendAPI::test_lookup_backend, test/dynamo/test_backends.py::TestCustomBackendAPI::test_register_backend_api 2024-08-20T22:43:42.1564357Z 2024-08-20T22:43:44.9136612Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:43:44.9727717Z Running inductor/test_config 1/1 ... [2024-08-20 22:43:44.972185] 2024-08-20T22:43:44.9728538Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:43:44.9730693Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/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 22:43:44.972611] 2024-08-20T22:43:57.5168447Z 2024-08-20T22:43:57.5170606Z inductor/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_config_1.1_5aff5fb6cdc04b5e_.log 2024-08-20T22:43:57.5179748Z Running 11 items in this shard: test/inductor/test_config.py::TestInductorConfig::test_api_options, test/inductor/test_config.py::TestInductorConfig::test_compile_api, test/inductor/test_config.py::TestInductorConfig::test_compile_api_passes_config, test/inductor/test_config.py::TestInductorConfig::test_get_compiler_config, test/inductor/test_config.py::TestInductorConfig::test_hasattr, test/inductor/test_config.py::TestInductorConfig::test_invalid_backend, test/inductor/test_config.py::TestInductorConfig::test_invalid_names, test/inductor/test_config.py::TestInductorConfig::test_non_inductor_backend, test/inductor/test_config.py::TestInductorConfig::test_patch, test/inductor/test_config.py::TestInductorConfig::test_save_load, test/inductor/test_config.py::TestInductorConfig::test_set 2024-08-20T22:43:57.5184249Z 2024-08-20T22:44:00.2753582Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:44:00.3346815Z Running dynamo/test_comptime 1/1 ... [2024-08-20 22:44:00.334248] 2024-08-20T22:44:00.3347761Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:44:00.3351461Z Executing ['/opt/conda/envs/py_3.12/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 22:44:00.334703] 2024-08-20T22:44:08.9165249Z 2024-08-20T22:44:08.9167691Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_0dfa1d5524b98435_.log 2024-08-20T22:44:08.9177164Z Running 12 items in this shard: test/dynamo/test_comptime.py::ComptimeTests::test_get_local, test/dynamo/test_comptime.py::ComptimeTests::test_get_local_closure_variable, test/dynamo/test_comptime.py::ComptimeTests::test_graph_break, test/dynamo/test_comptime.py::ComptimeTests::test_print_bt, test/dynamo/test_comptime.py::ComptimeTests::test_print_direct, test/dynamo/test_comptime.py::ComptimeTests::test_print_disas, test/dynamo/test_comptime.py::ComptimeTests::test_print_graph, test/dynamo/test_comptime.py::ComptimeTests::test_print_guards, test/dynamo/test_comptime.py::ComptimeTests::test_print_locals, test/dynamo/test_comptime.py::ComptimeTests::test_print_single, test/dynamo/test_comptime.py::ComptimeTests::test_print_value_stack, test/dynamo/test_comptime.py::ComptimeTests::test_sleep 2024-08-20T22:44:08.9185861Z 2024-08-20T22:44:11.9046735Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:44:11.9646244Z Running inductor/test_standalone_compile 1/1 ... [2024-08-20 22:44:11.964119] 2024-08-20T22:44:11.9647298Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:44:11.9650567Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_standalone_compile.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 22:44:11.964606] 2024-08-20T22:44:39.2375282Z 2024-08-20T22:44:39.2379524Z inductor/test_standalone_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_standalone_compile_1.1_2ac5cf58907de8d7_.log 2024-08-20T22:44:39.2385269Z Running 8 items in this shard: test/inductor/test_standalone_compile.py::TestStandaloneInductor::test_inductor_via_bare_module, test/inductor/test_standalone_compile.py::TestStandaloneInductor::test_inductor_via_export1, test/inductor/test_standalone_compile.py::TestStandaloneInductor::test_inductor_via_export2, test/inductor/test_standalone_compile.py::TestStandaloneInductor::test_inductor_via_fx, test/inductor/test_standalone_compile.py::TestStandaloneInductor::test_inductor_via_fx_dict_input, test/inductor/test_standalone_compile.py::TestStandaloneInductor::test_inductor_via_fx_tensor_return, test/inductor/test_standalone_compile.py::TestStandaloneInductor::test_inductor_via_make_fx, test/inductor/test_standalone_compile.py::TestStandaloneInductor::test_inductor_via_op_with_multiple_outputs 2024-08-20T22:44:39.2389620Z 2024-08-20T22:44:42.0750372Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:44:42.1336064Z Running dynamo/test_minifier 1/1 ... [2024-08-20 22:44:42.133154] 2024-08-20T22:44:42.1337029Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:44:42.1340808Z Executing ['/opt/conda/envs/py_3.12/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 22:44:42.133555] 2024-08-20T22:44:46.8566253Z 2024-08-20T22:44:46.8568386Z dynamo/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_minifier_1.1_8f9831dea73861b7_.log 2024-08-20T22:44:46.8576740Z Running 15 items in this shard: test/dynamo/test_minifier.py::MinifierTests::test_after_dynamo_cpu_accuracy_backend_passes, test/dynamo/test_minifier.py::MinifierTests::test_after_dynamo_cpu_accuracy_error, test/dynamo/test_minifier.py::MinifierTests::test_after_dynamo_cpu_compile_backend_passes, test/dynamo/test_minifier.py::MinifierTests::test_after_dynamo_cpu_compile_error, test/dynamo/test_minifier.py::MinifierTests::test_after_dynamo_cpu_runtime_backend_passes, test/dynamo/test_minifier.py::MinifierTests::test_after_dynamo_cpu_runtime_error, test/dynamo/test_minifier.py::MinifierTests::test_after_dynamo_cuda_accuracy_backend_passes, test/dynamo/test_minifier.py::MinifierTests::test_after_dynamo_cuda_accuracy_error, test/dynamo/test_minifier.py::MinifierTests::test_after_dynamo_cuda_compile_backend_passes, test/dynamo/test_minifier.py::MinifierTests::test_after_dynamo_cuda_compile_error, test/dynamo/test_minifier.py::MinifierTests::test_after_dynamo_cuda_runtime_backend_passes, test/dynamo/test_minifier.py::MinifierTests::test_after_dynamo_cuda_runtime_error, test/dynamo/test_minifier.py::MinifierTests::test_after_dynamo_non_leaf_compile_error, test/dynamo/test_minifier.py::MinifierTests::test_cpu_cuda_module_after_dynamo, test/dynamo/test_minifier.py::MinifierTests::test_if_graph_minified 2024-08-20T22:44:46.8584023Z 2024-08-20T22:44:49.5771862Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:44:49.6350144Z Running export/test_db 1/1 ... [2024-08-20 22:44:49.634567] 2024-08-20T22:44:49.6351159Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:44:49.6354364Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_db.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 22:44:49.634978] 2024-08-20T22:44:54.8072325Z 2024-08-20T22:44:54.8074164Z export/test_db 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_db_1.1_ed777b3addf54424_.log 2024-08-20T22:44:54.8091982Z Running 36 items in this shard: test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_dynamic_shape_round, test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_model_attr_mutation, test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_optional_input, test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_unsupported_operator, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_assume_constant_result, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_autograd_function, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_class_method, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_branch_class_method, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_branch_nested_function, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_branch_nonlocal_variables, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_closed_over_variable, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_operands, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_predicate, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_constrain_as_size_example, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_constrain_as_value_example, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_decorator, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dictionary, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_assert, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_constructor, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_if_guard, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_map, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_slicing, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_view, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_fn_with_kwargs, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_list_contains, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_list_unpack, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_nested_function, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_null_context_manager, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_pytree_flatten, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_scalar_output, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_specialized_attribute, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_static_for_loop, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_static_if, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_tensor_setattr, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_type_reflection_method, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_user_input_mutation 2024-08-20T22:44:54.8108832Z 2024-08-20T22:44:57.3250814Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:44:57.3829812Z Running dynamo/test_skip_non_tensor 1/1 ... [2024-08-20 22:44:57.382517] 2024-08-20T22:44:57.3830915Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:44:57.3833478Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_skip_non_tensor.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 22:44:57.382895] 2024-08-20T22:45:00.4024392Z 2024-08-20T22:45:00.4026797Z dynamo/test_skip_non_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_non_tensor_1.1_28da7b511f2d7760_.log 2024-08-20T22:45:00.4031869Z Running 8 items in this shard: test/dynamo/test_skip_non_tensor.py::SkipNonTensorTests::test_add_skip, test/dynamo/test_skip_non_tensor.py::SkipNonTensorTests::test_add_tensor1, test/dynamo/test_skip_non_tensor.py::SkipNonTensorTests::test_add_tensor2, test/dynamo/test_skip_non_tensor.py::SkipNonTensorTests::test_add_tensor_dict, test/dynamo/test_skip_non_tensor.py::SkipNonTensorTests::test_add_tensor_list, test/dynamo/test_skip_non_tensor.py::SkipNonTensorTests::test_custom_list, test/dynamo/test_skip_non_tensor.py::SkipNonTensorTests::test_do_not_skip_side_effects, test/dynamo/test_skip_non_tensor.py::SkipNonTensorTests::test_recursive_list 2024-08-20T22:45:00.4035596Z 2024-08-20T22:45:02.9197144Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:45:02.9776041Z Running export/test_serialize 1/1 ... [2024-08-20 22:45:02.977173] 2024-08-20T22:45:02.9777089Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:45:02.9779658Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_serialize.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 22:45:02.977521] 2024-08-20T22:45:14.6098777Z 2024-08-20T22:45:14.6101721Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_c514e806aa7248e9_.log 2024-08-20T22:45:14.6169503Z Running 80 items in this shard: test/export/test_serialize.py::TestSerialize::test_canonicalize, test/export/test_serialize.py::TestSerialize::test_export_example_inputs_preserved, test/export/test_serialize.py::TestSerialize::test_export_with_extension_op_serialization, test/export/test_serialize.py::TestSerialize::test_int_list, test/export/test_serialize.py::TestSerialize::test_kwargs_default, test/export/test_serialize.py::TestSerialize::test_metadata_parsing_with_layer_split, test/export/test_serialize.py::TestSerialize::test_multi_return_some_unused, test/export/test_serialize.py::TestSerialize::test_predispatch_export_with_autograd_op, test/export/test_serialize.py::TestSerialize::test_rational_ranges, test/export/test_serialize.py::TestSerialize::test_serialize_constant_outputs, test/export/test_serialize.py::TestSerialize::test_serialize_list_returns, test/export/test_serialize.py::TestSerialize::test_serialize_multiple_returns_from_node, test/export/test_serialize.py::TestSerialize::test_serialize_sym_int, test/export/test_serialize.py::TestDeserialize::test_auto_functionalize, test/export/test_serialize.py::TestDeserialize::test_basic, test/export/test_serialize.py::TestDeserialize::test_cond, test/export/test_serialize.py::TestDeserialize::test_constraints, test/export/test_serialize.py::TestDeserialize::test_custom_obj, test/export/test_serialize.py::TestDeserialize::test_custom_obj_list_out, test/export/test_serialize.py::TestDeserialize::test_custom_obj_tuple_out, test/export/test_serialize.py::TestDeserialize::test_device, test/export/test_serialize.py::TestDeserialize::test_dynamic, test/export/test_serialize.py::TestDeserialize::test_export_no_inputs, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_assume_constant_result, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_autograd_function, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_class_method, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_branch_class_method, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_branch_nested_function, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_branch_nonlocal_variables, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_closed_over_variable, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_operands, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_predicate, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_constrain_as_size_example, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_constrain_as_value_example, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_decorator, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dictionary, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_assert, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_constructor, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_if_guard, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_map, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_slicing, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_view, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_fn_with_kwargs, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_list_contains, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_list_unpack, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_nested_function, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_null_context_manager, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_pytree_flatten, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_scalar_output, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_specialized_attribute, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_static_for_loop, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_static_if, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_tensor_setattr, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_type_reflection_method, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_user_input_mutation, test/export/test_serialize.py::TestDeserialize::test_get_attr, test/export/test_serialize.py::TestDeserialize::test_get_attr_list, test/export/test_serialize.py::TestDeserialize::test_list_of_optional_tensors, test/export/test_serialize.py::TestDeserialize::test_map, test/export/test_serialize.py::TestDeserialize::test_module, test/export/test_serialize.py::TestDeserialize::test_module_meta, test/export/test_serialize.py::TestDeserialize::test_multi_return, test/export/test_serialize.py::TestDeserialize::test_multiple_getitem, test/export/test_serialize.py::TestDeserialize::test_optional_tuple, test/export/test_serialize.py::TestDeserialize::test_shape, test/export/test_serialize.py::TestDeserialize::test_sym_bool, test/export/test_serialize.py::TestDeserialize::test_sym_ite, test/export/test_serialize.py::TestDeserialize::test_tensor_tensor_list, test/export/test_serialize.py::TestSchemaVersioning::test_error, test/export/test_serialize.py::TestSaveLoad::test_save_buffer, test/export/test_serialize.py::TestSaveLoad::test_save_constants, test/export/test_serialize.py::TestSaveLoad::test_save_extra, test/export/test_serialize.py::TestSaveLoad::test_save_file, test/export/test_serialize.py::TestSaveLoad::test_save_path, test/export/test_serialize.py::TestSaveLoad::test_version_error, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_class, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_class_containing_fake_tensor, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_tag_metadata_copy, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_tag_metadata_decomp, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_tag_metadata_serialization 2024-08-20T22:45:14.6237574Z 2024-08-20T22:45:17.1943626Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:45:17.2846374Z Running export/test_passes 1/1 ... [2024-08-20 22:45:17.284137] 2024-08-20T22:45:17.2847413Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:45:17.2851297Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_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 22:45:17.284567] 2024-08-20T22:45:38.2818784Z 2024-08-20T22:45:38.2821005Z export/test_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_passes_1.1_56af22a7f8a11bc9_.log 2024-08-20T22:45:38.2841761Z Running 22 items in this shard: test/export/test_passes.py::TestPasses::test_custom_obj_tuple_out, test/export/test_passes.py::TestPasses::test_fakify_script_objects, test/export/test_passes.py::TestPasses::test_fakify_script_objects_properly_handle_containers, test/export/test_passes.py::TestPasses::test_functionalization_with_view_copy, test/export/test_passes.py::TestPasses::test_inline_, test/export/test_passes.py::TestPasses::test_math_ops, test/export/test_passes.py::TestPasses::test_predispatch_autocast, test/export/test_passes.py::TestPasses::test_predispatch_set_grad, test/export/test_passes.py::TestPasses::test_remove_auto_functionalized_pass, test/export/test_passes.py::TestPasses::test_remove_auto_functionalized_pass_tuple, test/export/test_passes.py::TestPasses::test_remove_effect_token_kwargs, test/export/test_passes.py::TestPasses::test_runtime_assert_inline_constraints_for_cond, test/export/test_passes.py::TestPasses::test_runtime_assert_inline_constraints_for_item, test/export/test_passes.py::TestPasses::test_runtime_assert_inline_constraints_for_nonzero, test/export/test_passes.py::TestPasses::test_runtime_assert_multiple_dims, test/export/test_passes.py::TestPasses::test_runtime_assert_one_dim, test/export/test_passes.py::TestPasses::test_runtime_assert_some_dims_not_specified, test/export/test_passes.py::TestPasses::test_runtime_assert_some_inps_not_used, test/export/test_passes.py::TestPasses::test_sequential_split, test/export/test_passes.py::TestPasses::test_sequential_split_graph, test/export/test_passes.py::TestPasses::test_view_to_view_copy, test/export/test_passes.py::TestPasses::test_views_op_having_view_copy 2024-08-20T22:45:38.2859618Z 2024-08-20T22:45:40.8466800Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:45:40.9041231Z Running inductor/test_extension_backend 1/1 ... [2024-08-20 22:45:40.903656] 2024-08-20T22:45:40.9042409Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:45:40.9047825Z Executing ['/opt/conda/envs/py_3.12/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 22:45:40.904301] 2024-08-20T22:46:04.4086067Z 2024-08-20T22:46:04.4095439Z 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_e28f494edfeaff6a_.log 2024-08-20T22:46:04.4098270Z Running 1 items in this shard: test/inductor/test_extension_backend.py::ExtensionBackendTests::test_open_device_registration 2024-08-20T22:46:04.4099431Z 2024-08-20T22:46:06.9622997Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:46:07.0208475Z Running dynamo/test_pre_dispatch 1/1 ... [2024-08-20 22:46:07.020344] 2024-08-20T22:46:07.0209319Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:46:07.0211469Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_pre_dispatch.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 22:46:07.020697] 2024-08-20T22:46:09.8400811Z 2024-08-20T22:46:09.8402725Z dynamo/test_pre_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pre_dispatch_1.1_e742ad8ab7f481bf_.log 2024-08-20T22:46:09.8405572Z Running 3 items in this shard: test/dynamo/test_pre_dispatch.py::PreDispatchTests::test_autocast_simple, test/dynamo/test_pre_dispatch.py::PreDispatchTests::test_enable_grad_and_no_grad, test/dynamo/test_pre_dispatch.py::PreDispatchTests::test_no_grad_simple 2024-08-20T22:46:09.8407111Z 2024-08-20T22:46:12.2907941Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:46:12.3491545Z Running inductor/test_fx_fusion 1/1 ... [2024-08-20 22:46:12.348657] 2024-08-20T22:46:12.3492656Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:46:12.3496117Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_fx_fusion.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 22:46:12.349057] 2024-08-20T22:46:16.1200743Z 2024-08-20T22:46:16.1203026Z inductor/test_fx_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fx_fusion_1.1_211e3122958761d6_.log 2024-08-20T22:46:16.1205913Z Running 4 items in this shard: test/inductor/test_fx_fusion.py::TestFxFusion::test_linear_permute_fusion, test/inductor/test_fx_fusion.py::TestFxFusion::test_permute_bmm_fusion, test/inductor/test_fx_fusion.py::TestFxFusion::test_permute_linear_fusion, test/inductor/test_fx_fusion.py::TestFxFusion::test_sink_cat_after_pointwise 2024-08-20T22:46:16.1207911Z 2024-08-20T22:46:18.6561148Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:46:18.7140877Z Running dynamo/test_config 1/1 ... [2024-08-20 22:46:18.713461] 2024-08-20T22:46:18.7142411Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:46:18.7144292Z Executing ['/opt/conda/envs/py_3.12/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 22:46:18.713814] 2024-08-20T22:46:21.7337455Z 2024-08-20T22:46:21.7340283Z dynamo/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_config_1.1_65d255782331911e_.log 2024-08-20T22:46:21.7345412Z Running 5 items in this shard: test/dynamo/test_config.py::ConfigTests::test_automatic_dynamic, test/dynamo/test_config.py::ConfigTests::test_config_compile_ignored, test/dynamo/test_config.py::ConfigTests::test_config_hash, test/dynamo/test_config.py::ConfigTests::test_no_assume_static_by_default, test/dynamo/test_config.py::ConfigTests::test_no_automatic_dynamic 2024-08-20T22:46:21.7349383Z 2024-08-20T22:46:24.1600374Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:46:24.2180147Z Running dynamo/test_python_autograd 1/1 ... [2024-08-20 22:46:24.217604] 2024-08-20T22:46:24.2180960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:46:24.2183260Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_python_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 22:46:24.217980] 2024-08-20T22:46:27.3883369Z 2024-08-20T22:46:27.3885605Z dynamo/test_python_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_autograd_1.1_b45a2c98f4c7b5cd_.log 2024-08-20T22:46:27.3890421Z Running 5 items in this shard: test/dynamo/test_python_autograd.py::TestPythonAutograd::test_backwards1, test/dynamo/test_python_autograd.py::TestPythonAutograd::test_backwards2, test/dynamo/test_python_autograd.py::TestPythonAutograd::test_forwards1, test/dynamo/test_python_autograd.py::TestPythonAutograd::test_forwards2, test/dynamo/test_python_autograd.py::TestPythonAutograd::test_split 2024-08-20T22:46:27.3893916Z 2024-08-20T22:46:29.8917326Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:46:29.9493745Z Running inductor/test_minifier 1/1 ... [2024-08-20 22:46:29.948904] 2024-08-20T22:46:29.9494846Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:46:29.9498087Z Executing ['/opt/conda/envs/py_3.12/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 22:46:29.949281] 2024-08-20T22:46:38.1514972Z 2024-08-20T22:46:38.1517314Z inductor/test_cpu_repro 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_2.2_f3a4a7ca6e6d9729_.log 2024-08-20T22:46:38.1560304Z Running 94 items in this shard: test/inductor/test_cpu_repro.py::CPUReproTests::test_ModularIndexing_range_issue_103133, test/inductor/test_cpu_repro.py::CPUReproTests::test__adaptive_avg_pool2d, test/inductor/test_cpu_repro.py::CPUReproTests::test_acosh_with_negative_large_input, test/inductor/test_cpu_repro.py::CPUReproTests::test_argmax_argmin_with_nan_value, test/inductor/test_cpu_repro.py::CPUReproTests::test_atomic_add_lowp_fp, test/inductor/test_cpu_repro.py::CPUReproTests::test_bf16_zeros, test/inductor/test_cpu_repro.py::CPUReproTests::test_bool_reduction_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_channel_shuffle_cl_output, test/inductor/test_cpu_repro.py::CPUReproTests::test_channels_last_view_as_complex, test/inductor/test_cpu_repro.py::CPUReproTests::test_complex_memory_overlap, test/inductor/test_cpu_repro.py::CPUReproTests::test_concat_inner_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_consistent_remove_buffers, test/inductor/test_cpu_repro.py::CPUReproTests::test_constant_store, test/inductor/test_cpu_repro.py::CPUReproTests::test_conv2d_packed, test/inductor/test_cpu_repro.py::CPUReproTests::test_conv_in_channel_1_dynamic_shapes, test/inductor/test_cpu_repro.py::CPUReproTests::test_conv_stride_constraints, test/inductor/test_cpu_repro.py::CPUReproTests::test_convert_int32_to_int64_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_convert_int64_to_int32_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_cpp_kernel_profile, test/inductor/test_cpu_repro.py::CPUReproTests::test_decomposed_dequant_relu_quant_int8, test/inductor/test_cpu_repro.py::CPUReproTests::test_dequant_maxpool2d_lowering_int8, test/inductor/test_cpu_repro.py::CPUReproTests::test_dequant_maxpool2d_lowering_uint8, test/inductor/test_cpu_repro.py::CPUReproTests::test_dequant_quant_lowering_int8, test/inductor/test_cpu_repro.py::CPUReproTests::test_dequant_quant_lowering_uint8, test/inductor/test_cpu_repro.py::CPUReproTests::test_dequant_relu_quant_dequant_relu_quant_lowering_int8, test/inductor/test_cpu_repro.py::CPUReproTests::test_dequant_relu_quant_dequant_relu_quant_lowering_uint8, test/inductor/test_cpu_repro.py::CPUReproTests::test_embedding_vec_bf16, test/inductor/test_cpu_repro.py::CPUReproTests::test_fp32_load_with_to_lowp_fp, test/inductor/test_cpu_repro.py::CPUReproTests::test_fp8_cast_bfloat16_shape_15,3,13, test/inductor/test_cpu_repro.py::CPUReproTests::test_fp8_cast_bfloat16_shape_4,2048,4096, test/inductor/test_cpu_repro.py::CPUReproTests::test_fp8_cast_float16_shape_15,3,13, test/inductor/test_cpu_repro.py::CPUReproTests::test_fp8_cast_float16_shape_4,2048,4096, test/inductor/test_cpu_repro.py::CPUReproTests::test_group_norm_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_horizontal_fusion, test/inductor/test_cpu_repro.py::CPUReproTests::test_in_out_buffer, test/inductor/test_cpu_repro.py::CPUReproTests::test_index_propagation_issue_102065, test/inductor/test_cpu_repro.py::CPUReproTests::test_inplace_add_alpha, test/inductor/test_cpu_repro.py::CPUReproTests::test_int32_reduction_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_int64_pointwise_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_int_div_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_invalid_index_of_empty_tensor, test/inductor/test_cpu_repro.py::CPUReproTests::test_ir_node_str, test/inductor/test_cpu_repro.py::CPUReproTests::test_issue122380, test/inductor/test_cpu_repro.py::CPUReproTests::test_linear_packed, test/inductor/test_cpu_repro.py::CPUReproTests::test_load_half, test/inductor/test_cpu_repro.py::CPUReproTests::test_load_inf_bf16, test/inductor/test_cpu_repro.py::CPUReproTests::test_load_same_bool_tensor_twice, test/inductor/test_cpu_repro.py::CPUReproTests::test_local_buffer_with_line_reuse, test/inductor/test_cpu_repro.py::CPUReproTests::test_logical_op_store_to_lowp_data_dtype, test/inductor/test_cpu_repro.py::CPUReproTests::test_lowp_fp_neg_abs, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed, test/inductor/test_cpu_repro.py::CPUReproTests::test_masked_load_int64_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_max_reduction_lowp_fp, test/inductor/test_cpu_repro.py::CPUReproTests::test_maxpool2d_cpu_only, test/inductor/test_cpu_repro.py::CPUReproTests::test_maxpool2d_with_pre_loop_collapse_cpu_only, test/inductor/test_cpu_repro.py::CPUReproTests::test_memory_copy_with_fusion, test/inductor/test_cpu_repro.py::CPUReproTests::test_meta_device, test/inductor/test_cpu_repro.py::CPUReproTests::test_multihead_attention_cpu, test/inductor/test_cpu_repro.py::CPUReproTests::test_new_vec_op_cpu_only, test/inductor/test_cpu_repro.py::CPUReproTests::test_nn_param_assign, test/inductor/test_cpu_repro.py::CPUReproTests::test_nn_param_assign_wrapped, test/inductor/test_cpu_repro.py::CPUReproTests::test_non_contiguous_index_with_constant_stride, test/inductor/test_cpu_repro.py::CPUReproTests::test_non_contiguous_load_buf_quant_uint8, test/inductor/test_cpu_repro.py::CPUReproTests::test_non_contiguous_reduction_store, test/inductor/test_cpu_repro.py::CPUReproTests::test_pack_padded_sequence_lstm, test/inductor/test_cpu_repro.py::CPUReproTests::test_parallel_num_threads, test/inductor/test_cpu_repro.py::CPUReproTests::test_per_channel_fake_quant_module_uint8, test/inductor/test_cpu_repro.py::CPUReproTests::test_pow_cos, test/inductor/test_cpu_repro.py::CPUReproTests::test_reduce_with_masked, test/inductor/test_cpu_repro.py::CPUReproTests::test_reduction_cpu_only, test/inductor/test_cpu_repro.py::CPUReproTests::test_redundant_to_node_elimination_lowp_fp, test/inductor/test_cpu_repro.py::CPUReproTests::test_relu_with_inf_value, test/inductor/test_cpu_repro.py::CPUReproTests::test_scatter_using_atomic_add, test/inductor/test_cpu_repro.py::CPUReproTests::test_select_tiliing_with_index_expr, test/inductor/test_cpu_repro.py::CPUReproTests::test_share_local_buffers_in_outer_loop_fusion, test/inductor/test_cpu_repro.py::CPUReproTests::test_sigmoid_with_reduction, test/inductor/test_cpu_repro.py::CPUReproTests::test_sign_cpu_only, test/inductor/test_cpu_repro.py::CPUReproTests::test_symbolic_shape_scalar_value_reduction, test/inductor/test_cpu_repro.py::CPUReproTests::test_tile2d_load_decomposed_dequant_add_relu_quant_int8, test/inductor/test_cpu_repro.py::CPUReproTests::test_to_channels_last_lowp_fp, test/inductor/test_cpu_repro.py::CPUReproTests::test_to_dtype_bool_float, test/inductor/test_cpu_repro.py::CPUReproTests::test_to_dtype_float_bool, test/inductor/test_cpu_repro.py::CPUReproTests::test_to_uint8_rounding_method, test/inductor/test_cpu_repro.py::CPUReproTests::test_transpose_sum2d_cpu_only, test/inductor/test_cpu_repro.py::CPUReproTests::test_transpose_vertical_sum_cpu_only, test/inductor/test_cpu_repro.py::CPUReproTests::test_two_local_buffers_in_outer_loop_fusion, test/inductor/test_cpu_repro.py::CPUReproTests::test_uint64_pointwise_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_uint64_reduction_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_uint8_add, test/inductor/test_cpu_repro.py::CPUReproTests::test_uint8_sub, test/inductor/test_cpu_repro.py::CPUReproTests::test_unsupported_conv_transpose, test/inductor/test_cpu_repro.py::CPUReproTests::test_vec_bitwise, test/inductor/test_cpu_repro.py::CPUReproTests::test_vec_indirect_load_cse_cache, test/inductor/test_cpu_repro.py::CPUReproTests::test_vec_logical 2024-08-20T22:46:38.1599398Z 2024-08-20T22:46:40.6436071Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:46:40.7016013Z Running dynamo/test_recompiles 1/1 ... [2024-08-20 22:46:40.701160] 2024-08-20T22:46:40.7017159Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:46:40.7020489Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_recompiles.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 22:46:40.701563] 2024-08-20T22:46:43.9212347Z 2024-08-20T22:46:43.9214667Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_cce69f636f5d4e83_.log 2024-08-20T22:46:43.9222669Z Running 7 items in this shard: test/dynamo/test_recompiles.py::RecompileTests::test_aliasing_guard_failures, test/dynamo/test_recompiles.py::RecompileTests::test_aliasing_guard_failures_with_globals, test/dynamo/test_recompiles.py::RecompileTests::test_automatic_dynamic_reduce_recompiles, test/dynamo/test_recompiles.py::RecompileTests::test_automatic_dynamic_tensor_scalar_change, test/dynamo/test_recompiles.py::RecompileTests::test_dynamic_shape_parameter_recompile, test/dynamo/test_recompiles.py::RecompileTests::test_recompiles_true_false_flop, test/dynamo/test_recompiles.py::RecompileTests::test_simple_module_recompile 2024-08-20T22:46:43.9229021Z 2024-08-20T22:46:46.3490104Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:46:46.4066856Z Running inductor/test_binary_folding 1/1 ... [2024-08-20 22:46:46.406211] 2024-08-20T22:46:46.4068286Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:46:46.4071800Z Executing ['/opt/conda/envs/py_3.12/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 22:46:46.406575] 2024-08-20T22:46:58.2629549Z 2024-08-20T22:46:58.2633318Z inductor/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_1.1_b83e3d22439c9f06_.log 2024-08-20T22:46:58.2643035Z Running 8 items in this shard: test/inductor/test_minifier.py::MinifierTests::test_accuracy_vs_strict_accuracy, test/inductor/test_minifier.py::MinifierTests::test_after_aot_cpu_accuracy_error, test/inductor/test_minifier.py::MinifierTests::test_after_aot_cpu_compile_error, test/inductor/test_minifier.py::MinifierTests::test_after_aot_gpu_accuracy_error, test/inductor/test_minifier.py::MinifierTests::test_after_aot_gpu_compile_error, test/inductor/test_minifier.py::MinifierTests::test_constant_in_graph, test/inductor/test_minifier.py::MinifierTests::test_offload_to_disk, test/inductor/test_minifier.py::MinifierTests::test_rmse_improves_over_atol 2024-08-20T22:46:58.2649770Z 2024-08-20T22:47:00.8373222Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:47:00.8950096Z Running dynamo/test_after_aot 1/1 ... [2024-08-20 22:47:00.894595] 2024-08-20T22:47:00.8950954Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:47:00.8953488Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_after_aot.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 22:47:00.894978] 2024-08-20T22:47:11.3877862Z 2024-08-20T22:47:11.3880165Z dynamo/test_after_aot 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_after_aot_1.1_abb7064aba372eee_.log 2024-08-20T22:47:11.3883477Z Running 2 items in this shard: test/dynamo/test_after_aot.py::TestAfterAot::test_dump_tensor, test/dynamo/test_after_aot.py::TestAfterAot::test_save_graph_repro 2024-08-20T22:47:11.3885256Z 2024-08-20T22:47:13.8729751Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:47:13.9313663Z Running export/test_pass_infra 1/1 ... [2024-08-20 22:47:13.930922] 2024-08-20T22:47:13.9314760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:47:13.9318067Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_pass_infra.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 22:47:13.931274] 2024-08-20T22:47:17.2515347Z 2024-08-20T22:47:17.2517613Z export/test_pass_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_pass_infra_1.1_d2d7c15520725c64_.log 2024-08-20T22:47:17.2520649Z Running 5 items in this shard: test/export/test_pass_infra.py::TestPassInfra::test_cond, test/export/test_pass_infra.py::TestPassInfra::test_export_pass_base, test/export/test_pass_infra.py::TestPassInfra::test_graph_signature_updated_after_transformation, test/export/test_pass_infra.py::TestPassInfra::test_node_name_stability, test/export/test_pass_infra.py::TestPassInfra::test_replace_hook_basic 2024-08-20T22:47:17.2522918Z 2024-08-20T22:47:19.7182105Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:47:19.7754284Z Running inductor/test_select_algorithm 1/1 ... [2024-08-20 22:47:19.774980] 2024-08-20T22:47:19.7755825Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:47:19.7759559Z Executing ['/opt/conda/envs/py_3.12/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 22:47:19.775384] 2024-08-20T22:47:21.1666163Z 2024-08-20T22:47:21.1668697Z inductor/test_compiled_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_autograd_1.1_040903b55e14ec1f_.log 2024-08-20T22:47:21.2220863Z Running 491 items in this shard: test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_accumulate_grad_accuracy, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_accumulate_without_zero, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_autograd_cpp_node, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_autograd_cpp_node_data_dependent, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_autograd_cpp_node_id, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_autograd_cpp_node_saved, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_autograd_cpp_node_saved_dynamic, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_autograd_cpp_node_saved_float, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_autograd_cpp_node_saved_int, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_basic, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_cache_hit, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_callback_graph_break_throws_error, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_cudagraphs_cpu_division, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_cudagraphs_cpu_graph, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_cudagraphs_cpu_scalar_used_in_cpp_custom_op, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_cudagraphs_cpu_scalar_used_in_python_custom_op, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_cudagraphs_sdpa, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_custom_fn_bw_graph_break, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_custom_fn_compiled_fw_bw_graph_break, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_custom_fn_compiled_fw_graph_break, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_custom_fn_dynamically_defined_class, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_custom_fn_multiple_grads, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_custom_fn_non_variable_input, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_custom_fn_output_metadata, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_custom_fn_saved_attr, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_custom_fn_saved_multiple_tensors, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_custom_fn_saved_multiple_tensors_dedup, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_custom_fn_saved_shape_tensor, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_custom_fn_saved_tensors, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_custom_fn_with_same_graph, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_dynamic_shapes, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_dynamo_boxed, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_dynamo_flaky_segfault, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_free_activation_memory, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_free_activation_memory_subclass, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_implicit_add, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_inplace_grad_update, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_inputs_aliasing_bytecode_attr_mutations, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_inputs_aliasing_bytecode_stack_restore, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_issue106555, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_keep_graph_simple, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_keep_graph_usage_after_compiled, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_logging_tensor_flaky, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_mismatch_fake_tensor_mode, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_mismatch_fake_tensor_mode_dynamic_shape, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_multiple_torch_compile, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_no_output_nodes_all_leaves, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_no_output_nodes_different_leaves_will_recompile, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_no_output_nodes_some_leaves, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_output_nodes_all_leaves, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_output_nodes_some_leaves, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_tensor_grad_hook1, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_tensor_grad_hook2, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_tensor_grad_hook3, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_torch_compile, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_torch_compile_api_aot_eager, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_torch_compile_api_eager, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_torch_compile_api_inductor, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_torch_compile_graph_break, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_torch_compile_graph_break2, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_torch_compile_only_backward_call, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_trace_run_with_rng_state, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_verbose_logs_aot_dispatcher_nodes, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_verbose_logs_aot_dispatcher_nodes_hop, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_verbose_logs_aot_id, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_verbose_logs_cpp, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_verbose_logs_graph, test/inductor/test_compiled_autograd.py::TestCompiledAutograd::test_verbose_logs_snapshot, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_access_saved_tensor_twice_without_recomputation_works, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_accumulate_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_accumulate_grad_posthooks_can_observe_tensor_prehook, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_accumulate_grad_posthooks_should_not_execute, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_accumulate_grad_tensor_reference, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_accumulate_grad_with_zero_numel_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_anomaly_assign_parent_cleanup, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_anomaly_detect_nan, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_anomaly_grad_warnings, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_anomaly_mode_no_check_nan, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_attribute_deletion, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_autograd_inplace_view_of_view, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_autograd_inplace_views_creation_meta, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_autograd_inplace_views_cross_dtype, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_autograd_multiple_views_python, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_autograd_node_isinstance, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_autograd_print_tensor, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_autograd_python_custom_function_inplace, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_autograd_simple_views_python, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_autograd_views_codegen, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_backward, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_backward_badcalls, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_backward_copy, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_backward_create_graph_warns, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_backward_no_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_backward_to_node, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_backward_twice_retained_graph_with_saved_values, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_backward_twice_retained_graph_without_saved_values, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_backward_twice_with_saved_values, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_backward_twice_without_saved_values, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_backward_with_inputs, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_backward_with_nonleaf_inputs, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_calculate_shape_util, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_callback_adds_callback, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_callback_propagates_errors_from_device_thread, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_cant_create_saved_tensors, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpoint_detects_non_determinism, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpoint_sequential_warns_if_use_reentrant_not_passed_explcitly, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpoint_valid_reset_on_error, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpoint_warns_if_use_reentrant_not_passed_explcitly, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_non_reentrant_autocast_cpu, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_non_reentrant_autocast_gpu, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_arbitrary_input_output, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_correct_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_custom_function_works, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_detached_tensor_use_reentrant_False, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_detached_tensor_use_reentrant_True, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_input_requires_grad_False, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_input_requires_grad_True, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_memory_savings, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_parameter_used_in_an_out, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_saved_object_identity, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_with_context_fn, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_copy_slices_graph_task_updates, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_create_graph_and_full_backward_hook_cycle, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_current_graph_task_execution_order, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_current_graph_task_id, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_current_node, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_autograd_no_early_free, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_autograd_repeated_grad_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_cycle, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_error, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_exception, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_forward_mode_forward_is_no_op, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_forward_mode_inplace_checks, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_forward_mode_non_differentiable, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_forward_mode_non_tensor_before_tensor_args, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_forward_mode_view_checks, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_forward_mode_wrong_formula, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_local_inplace, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_mark_dirty_not_differentiable, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_no_tensors, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_non_tensor_inputs_outputs, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_preserve_torch_function_when_return_as_is, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_return_view_in_nograd, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_save_for_forward, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_saved_tensors, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_setup_context_multi_input, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_setup_context_multi_output, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_setup_context_simple, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_custom_function_vmap_defaults, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_deep_reentrant, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_default_saved_variable_hooks_double_backward, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_dep_nograd, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_dependent_backward, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_detach, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_detach_base, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_detach_then_inplace_raises_in_autograd, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_diagonal_expanded_v, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_dir, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_disabling_saved_tensor_hooks, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_disabling_saved_tensor_hooks_nested, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_dont_materialize_grads, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_duplicate_backward_root, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_enable_grad_decorator_no_paren, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_first_grad_fn_access_in_no_grad_mode, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_free_deep_graph, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_free_deep_graph_complicated, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_free_deep_graph_pyfunction, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_full_backward_hook_double_backward, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_function, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_function_returns_input, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_function_returns_undefined_tensor, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gc_in_destructor, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_badcalls, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_batched_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_empty_inputs, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_fn_attr_bindings, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_fn_badcalls, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_fn_input_metadata, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_fn_prehooks, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_fn_prehooks_multiple_outputs, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_fn_prehooks_remove_hooks, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_materialize_grads, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_mode_class_decoration, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_mode_restored_reentrant, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_nonleaf, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_nonleaf_many_outputs, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_nonleaf_register_hook, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_to_node, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_to_node_inplace, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_to_node_materialize, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_to_node_multi, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_to_node_set, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_unreachable, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_grad_unreachable_discovery, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_backward_mul_by_grad_output, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_check_batched_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_check_forward_or_backward_only, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_check_no_differentiable_outputs, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_complex_non_complex_outputs, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_custom_error, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_default_device_placement_context, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_dense_and_sparse_inputs, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_forward_ad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_forward_ad_batched_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_forward_ad_respects_requires_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_forward_ad_runs_with_no_requires_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_get_analytical_jacobian, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_get_numerical_jacobian, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_input_layout0, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_input_layout1, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_input_layout2, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_input_layout3, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_input_layout4, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_jacobian_mismatch, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_multiple_mkldnn_inputs, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_nondeterministic, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_output_shape_or_dtype_depend_on_values, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_single_input, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_test_outputs, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_undefined_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_validates_input_mkldnn, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradcheck_validates_inputs, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_gradient_edge_output, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_graph_save_on_cpu, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_graph_save_on_cpu_cuda, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_hessian_vector, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_hook_closure_cycle_use_custom_function_False_use_tensor_hook_False, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_hook_closure_cycle_use_custom_function_False_use_tensor_hook_True, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_hook_closure_cycle_use_custom_function_True_use_tensor_hook_False, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_hook_closure_cycle_use_custom_function_True_use_tensor_hook_True, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_hook_edge_case_when_called_with_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_hook_none, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_hook_with_no_name, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_hooks, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_hooks_cpp, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_increment_version, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_index_backward_does_not_save_tensor, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_indexing, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_indexing_duplicates, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_inplace, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_inplace_not_requires_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_inplace_on_view_backward, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_inplace_on_view_leaf_errors, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_inplace_on_view_saved_output, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_inplace_on_view_weak_grad_fn, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_input_buffer_accum, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_integer_outputs, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_invalid_gradients, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_isolated_node, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_leaf_assignment, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_legacy_function_deprecation_exception, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_lobpcg, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_mark_non_differentiable, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_mark_non_differentiable_mixed, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_mark_non_differentiable_none, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_materialize_grads, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_multi_backward, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_multi_backward_no_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_multi_grad_all_hooks, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_multi_grad_any_hooks, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_multi_grad_hooks_invalid_mode, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_multiple_insert_removal_caching, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_named_tensor_for_complex_views, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_naughty_anomaly_access, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_naughty_autograd_function_attribute_access, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_naughty_autograd_function_stashing_ctx, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_nested_anomaly_detect_nan, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_nested_anomaly_printstack_cleanup, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_next_functions, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_no_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_no_grad_assignment, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_no_grad_copy, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_no_grad_copy_sparse, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_no_grad_input, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_no_grad_modifies_version, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_no_grad_python_function, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_no_requires_grad_inplace, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_no_unnecessary_save, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_no_unnecessary_unwrapping, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_not_implemented_fwad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_not_implemented_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_numpy_requires_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_once_differentiable, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_out_variant_raises_when_inputs_require_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_pack_hook_with_inplace_modification_should_fail, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_pickle, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_post_accumulate_grad_hook_e2e, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_post_accumulate_grad_hook_gets_cleaned_up, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_post_accumulate_grad_hook_multiple_hooks, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_post_accumulate_grad_hook_multiple_tensors, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_post_accumulate_grad_hook_on_non_leaf, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_post_accumulate_grad_hook_ordering, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_post_accumulate_grad_hook_returns_not_None, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_pow_zero_tensor_gradient, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_power_function, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_prehook_ordering, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_profiler, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_profiler_aggregation_fake, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_profiler_aggregation_lstm, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_profiler_aggregation_table, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_profiler_function_event_avg, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_profiler_propagation, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_profiler_seq_nr, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_profiler_shapes, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_profiler_unboxed_only, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_pynode_destruction_deadlock, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_record_function, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_record_function_callbacks, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_record_function_legacy, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_record_function_multithreaded, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_reentrant_child_error, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_reentrant_priority, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_reentrant_with_callbacks_both_depths, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_reentrant_with_callbacks_depth_0, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_reentrant_with_callbacks_depth_1, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_reentrant_with_leaf_variable_hook, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_reentrant_with_non_leaf_variable_hook, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_requires_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_requires_grad_, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_requires_grad_inplace, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_retain_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_retain_grad_cycle, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_retain_grad_inplace, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_retain_grad_inplace_over_view, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_retains_grad_can_always_observe_tensor_prehook, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_retains_grad_inplace_multiple_outputs, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_return_duplicate, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_return_duplicate_inplace, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_return_leaf, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_return_leaf_inplace, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_save_none_for_backward, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_save_on_cpu_and_checkpoint, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_save_output_nr, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_save_tensor_hook_version_counter_not_shared, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_saved_tensor_hooks_custom_error_propagaation, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_saved_tensor_hooks_custom_function_intermediates, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_saved_tensor_hooks_extra_enter_during_bw_no_leak, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_saved_tensor_hooks_extra_exit_during_bw_no_crash, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_saved_variable_packing_unpacking_did_not_save_original_with_default_hooks, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_saved_variable_packing_unpacking_did_not_save_original_with_hooks, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_saved_variable_packing_unpacking_saved_original_with_default_hooks, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_saved_variable_packing_unpacking_saved_original_with_hooks, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_saved_variable_saved_original_inplace_detach, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_saved_variable_version_counter, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_saved_variables_deprecated, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_saving_variable_to_disk, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_scalar_grad_mixed_device, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_select_expanded_v, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_select_sum, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_set_data_preserve_pyobj, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_set_data_self_requires_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_set_data_tensorimpl_type, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_set_grad_coroutines, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_set_grad_coroutines_benign_exceptions, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_set_grad_coroutines_critical_exceptions, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_set_grad_coroutines_exit, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_set_grad_enabled, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_set_grad_enabled_wraps, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_set_grad_generator_functions, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_set_grad_generator_functions_recursive, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_set_materialize_non_diff_grads, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_setitem, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_setitem_mask, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_setting_default_saved_variable_hooks_twice_should_not_fail, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_setting_default_saved_variable_hooks_twice_should_use_inner, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_setup_context_when_forward_has_default_args, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_shape, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_sharded_grad, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_simple_reentrant, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_slice_expanded_v, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_sparse_gather_both_scalar, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_sparse_gather_dim0, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_sparse_gather_dim1, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_sparse_gather_dim_neg, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_sparse_gather_ind_scalar, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_sparse_gather_x_scalar, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_sparse_mm_backward, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_tensor_grad_warnings, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_tensor_hooks_inplace, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_tensor_hooks_inplace_multiple_outputs, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_tensor_hooks_inplace_over_view, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_thread_shutdown, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_to_sparse_backward, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_too_many_grads, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_type_conversions, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_unpack_hooks_exec_count, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_unrelated_inputs, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_unsafe_set_version_counter, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_unused_output, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_var_mean_differentiable, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_variable_traverse, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_version_counter, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_view_func_replay, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_view_func_replay_with_modified_state, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_view_replay_enabled, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_volatile_deprecated, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_will_engine_execute_node, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_wrapped_number_saved_variable_hooks, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_abstract_impl_on_existing_op, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_abstract_impl_on_existing_op_with_CompositeExplicitAutograd, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_abstract_impl_on_existing_op_with_CompositeImplicitAutograd, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_abstract_impl_on_existing_op_with_meta, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_autogen_aten_ops_are_pt2_compliant, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_autograd_function_backed_op, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_autograd_notimplemented, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_autograd_notimplemented_gradmode, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_dict_grad_for_nontensor, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_dict_invalid_keys, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_dict_requires_keys_for_input_optional_tensors, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_dict_requires_keys_for_input_tensors, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_grads_are_tensor_or_none, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_impl_on_existing_op, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_impl_on_existing_op_CompositeImplicitAutograd, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_impl_on_existing_op_incorrect_schema_mutable, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_impl_on_existing_op_incorrect_schema_no_output, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_impl_on_existing_op_incorrect_schema_views, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_impl_on_existing_op_with_key_key_Autograd, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_impl_on_existing_op_with_key_key_AutogradCPU, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_impl_on_existing_op_with_key_key_AutogradCUDA, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_output_differentiability_non_tensor, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_output_differentiability_numel, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_output_differentiability_tensorlist, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_output_differentiability_type, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_partially_registered, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_returns_dict, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_tensorlist_input_requires_list_grads, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_tensorlist_input_requires_list_grads_none_or_Tensor, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_backward_tensorlist_input_requires_list_grads_with_same_numel, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_basic_make_fx, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_builtin_aten_ops_are_pt2_compliant, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_builtin_torchscript_ops, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_data_dependent_basic, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_data_dependent_compile, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_data_dependent_fake_tracing, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_data_dependent_nms_dynamic_compile, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_define_and_impl, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_define_bad_schema, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_define_validation, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_define_with_tags_list, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_define_with_tags_single, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_define_with_tags_tuple, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_defined_in_python, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_duplicate_impl, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_functionalize_error, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_impl_abstract_overload, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_impl_cpu, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_impl_device_cpu, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_impl_device_cuda, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_impl_device_function, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_impl_device_invalid, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_impl_function, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_impl_invalid_devices, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_impl_meta, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_impl_multiple, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_impl_on_existing_op, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_impl_on_existing_op_with_cpu_registration_key_CPU, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_impl_on_existing_op_with_cpu_registration_key_CUDA, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_impl_on_existing_op_with_cpu_registration_key_CompositeExplicitAutograd, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_impl_on_existing_op_with_cpu_registration_key_CompositeImplicitAutograd, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_impl_separate, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_incorrect_schema_types, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_infer_schema_no_return, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_infer_schema_supported, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_infer_schema_unsupported, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_invalid_qualname, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_invalid_schemas, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_is_functional_schema, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_is_tensorlist_like_type, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_legacy_define, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_legacy_impl, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_lifetime, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_meta_for_data_dependent_shape_operation, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_name_must_match, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_new_data_dependent_symint, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_not_implemented_error, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_private_ctor, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_reserved_ns, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_resolve_packet, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_save_for_backward_inputs_are_namedtuple, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_schema_matches_signature, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_sequences, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_supported_param_types, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_supported_return_types_multi_return, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_supported_return_types_single_return, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_supported_schemas, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_symints, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_unsupported_param_types, test/inductor/test_compiled_autograd.py::TestCustomOpWithCompiledAutograd::test_unsupported_schemas 2024-08-20T22:47:21.2752838Z 2024-08-20T22:47:23.1919357Z 2024-08-20T22:47:23.1921711Z 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_9e4ee4d973191224_.log 2024-08-20T22:47:23.1923619Z 2024-08-20T22:47:23.6032954Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:47:23.6610700Z Running dynamo/test_verify_correctness 1/1 ... [2024-08-20 22:47:23.660627] 2024-08-20T22:47:23.6611649Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:47:23.6613637Z Executing ['/opt/conda/envs/py_3.12/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 22:47:23.661014] 2024-08-20T22:47:26.3667087Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:47:26.4244610Z Running inductor/test_triton_kernels 1/1 ... [2024-08-20 22:47:26.424085] 2024-08-20T22:47:26.4245418Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:47:26.4248156Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_triton_kernels.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 22:47:26.424442] 2024-08-20T22:47:27.4313657Z 2024-08-20T22:47:27.4316071Z 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_7ac1691852dbf480_.log 2024-08-20T22:47:27.4321705Z Running 4 items in this shard: test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_example_inputs, test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_incorrect_verify_false, test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_incorrect_verify_true, test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_torchscript 2024-08-20T22:47:27.4325550Z 2024-08-20T22:47:29.5444380Z 2024-08-20T22:47:29.5446205Z inductor/test_triton_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_kernels_1.1_b748629fd0ff63bd_.log 2024-08-20T22:47:29.5561515Z Running 190 items in this shard: test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_False_dynamic_False_backend_aot_eager_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_False_dynamic_False_backend_aot_eager_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_False_dynamic_False_backend_aot_eager_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_False_dynamic_False_backend_eager_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_False_dynamic_False_backend_eager_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_False_dynamic_False_backend_eager_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_False_dynamic_False_backend_inductor_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_False_dynamic_False_backend_inductor_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_False_dynamic_False_backend_inductor_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_False_dynamic_True_backend_aot_eager_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_False_dynamic_True_backend_aot_eager_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_False_dynamic_True_backend_aot_eager_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_False_dynamic_True_backend_eager_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_False_dynamic_True_backend_eager_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_False_dynamic_True_backend_eager_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_False_dynamic_True_backend_inductor_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_False_dynamic_True_backend_inductor_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_False_dynamic_True_backend_inductor_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_True_dynamic_False_backend_aot_eager_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_True_dynamic_False_backend_aot_eager_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_True_dynamic_False_backend_aot_eager_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_True_dynamic_False_backend_eager_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_True_dynamic_False_backend_eager_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_True_dynamic_False_backend_eager_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_True_dynamic_False_backend_inductor_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_True_dynamic_False_backend_inductor_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_True_dynamic_False_backend_inductor_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_True_dynamic_True_backend_aot_eager_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_True_dynamic_True_backend_aot_eager_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_True_dynamic_True_backend_aot_eager_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_True_dynamic_True_backend_eager_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_True_dynamic_True_backend_eager_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_True_dynamic_True_backend_eager_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_True_dynamic_True_backend_inductor_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_True_dynamic_True_backend_inductor_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_2d_autotune_grad_True_dynamic_True_backend_inductor_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_False_dynamic_False_backend_aot_eager_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_False_dynamic_False_backend_aot_eager_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_False_dynamic_False_backend_aot_eager_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_False_dynamic_False_backend_eager_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_False_dynamic_False_backend_eager_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_False_dynamic_False_backend_eager_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_False_dynamic_False_backend_inductor_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_False_dynamic_False_backend_inductor_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_False_dynamic_False_backend_inductor_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_False_dynamic_True_backend_aot_eager_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_False_dynamic_True_backend_aot_eager_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_False_dynamic_True_backend_aot_eager_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_False_dynamic_True_backend_eager_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_False_dynamic_True_backend_eager_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_False_dynamic_True_backend_eager_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_False_dynamic_True_backend_inductor_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_False_dynamic_True_backend_inductor_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_False_dynamic_True_backend_inductor_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_True_dynamic_False_backend_aot_eager_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_True_dynamic_False_backend_aot_eager_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_True_dynamic_False_backend_aot_eager_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_True_dynamic_False_backend_eager_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_True_dynamic_False_backend_eager_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_True_dynamic_False_backend_eager_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_True_dynamic_False_backend_inductor_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_True_dynamic_False_backend_inductor_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_True_dynamic_False_backend_inductor_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_True_dynamic_True_backend_aot_eager_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_True_dynamic_True_backend_aot_eager_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_True_dynamic_True_backend_aot_eager_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_True_dynamic_True_backend_eager_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_True_dynamic_True_backend_eager_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_True_dynamic_True_backend_eager_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_True_dynamic_True_backend_inductor_grid_type_1, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_True_dynamic_True_backend_inductor_grid_type_2, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_grad_True_dynamic_True_backend_inductor_grid_type_3, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_with_unsupported_args_backend_aot_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_with_unsupported_args_backend_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_autotune_with_unsupported_args_backend_inductor, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_caching, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_caching_duplicate, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_constants, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_dependancies, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_different_shapes_size_16_dynamic_False, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_different_shapes_size_16_dynamic_True, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_different_shapes_size_4_dynamic_False, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_different_shapes_size_4_dynamic_True, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_equal_to_1_arg_dynamic_False, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_equal_to_1_arg_dynamic_True, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_equal_to_1_float_arg_dynamic_False, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_equal_to_1_float_arg_dynamic_True, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_fallback, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_functionalize, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_higher_order_func, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_inner_triton_function_backend_aot_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_inner_triton_function_backend_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_inner_triton_function_backend_inductor, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_inputs_buffer_reuse, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_matmul_tracking, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_multi_kernel_grad_False, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_multi_kernel_grad_True, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_multiple_outputs_dynamic_False_backend_aot_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_multiple_outputs_dynamic_False_backend_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_multiple_outputs_dynamic_False_backend_inductor, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_multiple_outputs_dynamic_True_backend_aot_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_multiple_outputs_dynamic_True_backend_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_multiple_outputs_dynamic_True_backend_inductor, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_mutation_not_mark_dirty, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_mutation_type, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_native_grad_False_dynamic_False_backend_aot_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_native_grad_False_dynamic_False_backend_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_native_grad_False_dynamic_False_backend_inductor, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_native_grad_False_dynamic_True_backend_aot_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_native_grad_False_dynamic_True_backend_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_native_grad_False_dynamic_True_backend_inductor, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_native_grad_True_dynamic_False_backend_aot_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_native_grad_True_dynamic_False_backend_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_native_grad_True_dynamic_False_backend_inductor, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_native_grad_True_dynamic_True_backend_aot_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_native_grad_True_dynamic_True_backend_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_native_grad_True_dynamic_True_backend_inductor, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_no_clones_grad_False_dynamic_False, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_no_clones_grad_False_dynamic_True, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_no_clones_grad_True_dynamic_False, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_no_clones_grad_True_dynamic_True, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_num_ctas_backend_aot_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_num_ctas_backend_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_num_ctas_backend_inductor, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_out_of_order, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_reinplace_inplaceable_pass, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_reset_to_zero, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_slice_and_view_input, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_special_kwargs_with_autotune_backend_aot_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_special_kwargs_with_autotune_backend_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_special_kwargs_with_autotune_backend_inductor, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_special_kwargs_without_autotune_backend_aot_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_special_kwargs_without_autotune_backend_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_special_kwargs_without_autotune_backend_inductor, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_strided_input, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_strided_input_nonzero_offset, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_tracing_dynamic_False, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_tracing_dynamic_True, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_triton_dtype_dynamic_False_backend_aot_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_triton_dtype_dynamic_False_backend_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_triton_dtype_dynamic_False_backend_inductor, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_triton_dtype_dynamic_True_backend_aot_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_triton_dtype_dynamic_True_backend_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_triton_dtype_dynamic_True_backend_inductor, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_unbacked_shape_tensor_backend_aot_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_unbacked_shape_tensor_backend_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_unbacked_shape_tensor_backend_inductor, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_various_args, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_with_grad_option_grad_fn0_backend_aot_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_with_grad_option_grad_fn0_backend_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_with_grad_option_grad_fn0_backend_inductor, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_with_grad_option_grad_fn1_backend_aot_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_with_grad_option_grad_fn1_backend_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_with_grad_option_grad_fn1_backend_inductor, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_with_imported_symbol, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_with_imported_symbol_with_custom_name, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_with_kernel_param, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_with_views_dynamic_False_backend_aot_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_with_views_dynamic_False_backend_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_with_views_dynamic_False_backend_inductor, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_with_views_dynamic_True_backend_aot_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_with_views_dynamic_True_backend_eager, test/inductor/test_triton_kernels.py::KernelTests::test_triton_kernel_with_views_dynamic_True_backend_inductor, test/inductor/test_triton_kernels.py::MutationTests::test_add_for_loop, test/inductor/test_triton_kernels.py::MutationTests::test_add_for_loop2, test/inductor/test_triton_kernels.py::MutationTests::test_add_nested_for_loop, test/inductor/test_triton_kernels.py::MutationTests::test_add_nested_for_loop_multi_return, test/inductor/test_triton_kernels.py::MutationTests::test_argmax, test/inductor/test_triton_kernels.py::MutationTests::test_cumsum, test/inductor/test_triton_kernels.py::MutationTests::test_fn_call_multi_return, test/inductor/test_triton_kernels.py::MutationTests::test_fn_call_one_return, test/inductor/test_triton_kernels.py::MutationTests::test_for_loop_arg, test/inductor/test_triton_kernels.py::MutationTests::test_for_loop_arg_2, test/inductor/test_triton_kernels.py::MutationTests::test_labels, test/inductor/test_triton_kernels.py::MutationTests::test_nested_cond_op_kernel, test/inductor/test_triton_kernels.py::MutationTests::test_out_of_order_kernel, test/inductor/test_triton_kernels.py::MutationTests::test_out_of_order_kernel_call, test/inductor/test_triton_kernels.py::MutationTests::test_reduce_sum, test/inductor/test_triton_kernels.py::MutationTests::test_triton_kernel_inference_mode, test/inductor/test_triton_kernels.py::MutationTests::test_while_loop, test/inductor/test_triton_kernels.py::CustomOpTests::test_add_kernel_autotuned_False_dynamic_False, test/inductor/test_triton_kernels.py::CustomOpTests::test_add_kernel_autotuned_False_dynamic_True, test/inductor/test_triton_kernels.py::CustomOpTests::test_add_kernel_autotuned_True_dynamic_False, test/inductor/test_triton_kernels.py::CustomOpTests::test_add_kernel_autotuned_True_dynamic_True, test/inductor/test_triton_kernels.py::CustomOpTests::test_capture_triton_disabled_in_triton_op, test/inductor/test_triton_kernels.py::CustomOpTests::test_capture_triton_meta, test/inductor/test_triton_kernels.py::CustomOpTests::test_capture_triton_special_kwargs_dynamic_False_autotune_False, test/inductor/test_triton_kernels.py::CustomOpTests::test_capture_triton_special_kwargs_dynamic_False_autotune_True, test/inductor/test_triton_kernels.py::CustomOpTests::test_capture_triton_special_kwargs_dynamic_True_autotune_False, test/inductor/test_triton_kernels.py::CustomOpTests::test_capture_triton_special_kwargs_dynamic_True_autotune_True 2024-08-20T22:47:29.5672754Z 2024-08-20T22:47:29.9888338Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:47:30.0465536Z Running dynamo/test_nops 1/1 ... [2024-08-20 22:47:30.046034] 2024-08-20T22:47:30.0466587Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:47:30.0469827Z Executing ['/opt/conda/envs/py_3.12/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 22:47:30.046407] 2024-08-20T22:47:31.9126865Z 2024-08-20T22:47:31.9129261Z 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_78a8eef2b6bdcf84_.log 2024-08-20T22:47:31.9132465Z Running 2 items in this shard: test/inductor/test_binary_folding.py::FreezingCpuTests::test_conv_binary_folding_cpu, test/inductor/test_binary_folding.py::FreezingCpuTests::test_conv_bn_folding_cpu 2024-08-20T22:47:31.9134286Z 2024-08-20T22:47:32.2925229Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:47:32.3515235Z Running inductor/test_triton_heuristics 1/1 ... [2024-08-20 22:47:32.350935] 2024-08-20T22:47:32.3516014Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:47:32.3517922Z Executing ['/opt/conda/envs/py_3.12/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 22:47:32.351338] 2024-08-20T22:47:33.2653486Z 2024-08-20T22:47:33.2655476Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_c04781af7163a855_.log 2024-08-20T22:47:33.2657493Z Running 4 items in this shard: test/dynamo/test_nops.py::NopTests::test1, test/dynamo/test_nops.py::NopTests::test2, test/dynamo/test_nops.py::NopTests::test3, test/dynamo/test_nops.py::NopTests::test_extended_args 2024-08-20T22:47:33.2658730Z 2024-08-20T22:47:34.4305702Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:47:34.4881166Z Running inductor/test_snode_runtime 1/1 ... [2024-08-20 22:47:34.487654] 2024-08-20T22:47:34.4882318Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:47:34.4885763Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_snode_runtime.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 22:47:34.488025] 2024-08-20T22:47:34.8688770Z 2024-08-20T22:47:34.8691029Z 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_fbf4c18736938fcf_.log 2024-08-20T22:47:34.8692119Z 2024-08-20T22:47:35.8009899Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:47:35.9073064Z Running inductor/test_custom_lowering 1/1 ... [2024-08-20 22:47:35.906837] 2024-08-20T22:47:35.9074255Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:47:35.9078487Z Executing ['/opt/conda/envs/py_3.12/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 22:47:35.907220] 2024-08-20T22:47:37.3887056Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:47:37.4465756Z Running test_foreach 1/1 ... [2024-08-20 22:47:37.446119] 2024-08-20T22:47:37.4466842Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:47:37.4469633Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', '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 22:47:37.446550] 2024-08-20T22:47:37.8444603Z 2024-08-20T22:47:37.8446783Z inductor/test_snode_runtime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_snode_runtime_1.1_22fa2ce1b1cf80c5_.log 2024-08-20T22:47:37.8448633Z 2024-08-20T22:47:40.4266132Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:47:40.4847584Z Running export/test_retraceability 1/1 ... [2024-08-20 22:47:40.484304] 2024-08-20T22:47:40.4848760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:47:40.4852323Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_retraceability.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 22:47:40.484647] 2024-08-20T22:47:42.4861165Z 2024-08-20T22:47:42.4863634Z 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_98b63209f4596b8e_.log 2024-08-20T22:47:42.4869118Z Running 4 items in this shard: test/inductor/test_custom_lowering.py::TestCustomLowering::test_jagged_to_padded_dense_sanity_cuda, test/inductor/test_custom_lowering.py::TestCustomLowering::test_jagged_to_padded_dense_zero_size, test/inductor/test_custom_lowering.py::TestCustomLowering::test_multi_inp_asm, test/inductor/test_custom_lowering.py::TestCustomLowering::test_tanh_approx 2024-08-20T22:47:42.4873066Z 2024-08-20T22:47:44.8771125Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:47:44.9350627Z Running export/test_unflatten 1/1 ... [2024-08-20 22:47:44.934624] 2024-08-20T22:47:44.9351593Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:47:44.9354405Z Executing ['/opt/conda/envs/py_3.12/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 22:47:44.935021] 2024-08-20T22:47:57.1187111Z 2024-08-20T22:47:57.1189118Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_83d4939068d75ca5_.log 2024-08-20T22:47:57.1205808Z 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 2024-08-20T22:47:57.1230901Z 2024-08-20T22:47:59.5780691Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:47:59.6352305Z Running export/test_serdes 1/1 ... [2024-08-20 22:47:59.634840] 2024-08-20T22:47:59.6353037Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:47:59.6355681Z Executing ['/opt/conda/envs/py_3.12/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 22:47:59.635198] 2024-08-20T22:48:34.8928078Z 2024-08-20T22:48:34.8930267Z export/test_retraceability 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_retraceability_1.1_b85f869751128887_.log 2024-08-20T22:48:34.9167587Z Running 184 items in this shard: test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_assume_static_by_default_retraceability, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_constraints_error_not_in_range_retraceability, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_constraints_error_retraceability, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_inline_constraints_retraceability, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_slice_maxsize_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test__scaled_dot_product_flash_attention_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_allow_explicit_guards_as_runtime_asserts_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_args_type_checked_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_aten_lift_fresh_copy_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_automatic_constrain_size_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_basic_non_strict_fake_tensor_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_basic_non_strict_real_tensor_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_basic_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_buffer_util_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_check_is_size_error_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_check_specialized_int_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_checks_to_constrain_range_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_colon_parameter_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_compiling_state_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_buffers_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_with_module_stack_export_with_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_with_module_stack_export_with_unflatten_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_aliasing_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_input_naming_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_output_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_constrain_decomp_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_constrain_size_in_eager_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_constrain_size_with_constrain_value_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_constrain_size_with_various_cases_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_conv_dynamic_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_crop_like_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_cse_for_symint_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_custom_op_auto_functionalize_pre_dispatch_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_custom_op_auto_functionalize_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_custom_op_auto_warn_pre_dispatch_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_decomp_batch_norm_functional_predispatch_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_1_2_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_basic_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_integer_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_nested_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_out_of_order_repeat_derived_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_out_of_order_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_out_of_order_simplified_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_repeat_derived_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_device_to_dynamic_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_device_to_mutation_float_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_device_to_mutation_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_device_to_static_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_dim_1_2_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_disable_forced_specializations_errors_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_disable_forced_specializations_ok_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_builder_basic_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_builder_kwargs_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_builder_pytree_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_spec_with_pytree_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_error_does_not_reference_eager_fallback_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_api_with_dynamic_shapes_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_as_backend_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_cond_preserve_torch_fn_for_subgraphs_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_cond_symbool_pred_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_decomps_dynamic_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_decomps_simple_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_dynamo_config_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_for_training_run_decomp_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_for_training_with_container_type_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_for_training_with_dynamic_shapes_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_for_training_with_mutation_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_default_kwargs_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_keyword_only_args_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_kwargs_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_pytree_kwargs_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_var_keyword_args_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_var_keyword_pytree_args_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_var_postional_args_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_graph_with_no_inputs_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_input_mutation_bug_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_input_mutation_dynamic_shape_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_input_mutation_static_shape_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_mod_constraints_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_predispatch_custom_ops_warnings_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_preserve_linear_at_aot_level_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_then_compile_tensor_ctor_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_fake_tensor_inputs_on_cuda_devices_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_fake_tensor_inputs_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_inline_constraints_complex_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_inline_constraints_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_wrong_inputs_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_external_call_non_strict_real_tensor_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_fake_inputs_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_fake_weights_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_float_conversion_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_fqn_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_hoo_inline_users_issue_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_if_functional_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_intermediate_shape_comp_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_issue_113041_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_keep_composite_ops_invalid_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_keep_composite_ops_linear_convd_for_training_ir_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_keep_composite_ops_linear_convd_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_layer_sharing_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_lazy_module_kwargs_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_lifted_constants_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_linear_conv_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_map_buffers_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_map_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_mismatched_dynamic_shapes_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_mixed_input_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_module_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_module_with_dict_container_inp_out_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_multiple_definitions_same_name_dim_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_nested_dynamic_shapes_spec_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_nested_module_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_nested_module_with_constant_buffer_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_nested_module_with_init_buffer_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_nested_module_with_parameter_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_nn_module_stack_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_nn_module_stack_shared_submodule_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_no_suggested_fixes_for_data_dependent_errors_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_no_tensor_computation_2_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_no_tensor_computation_3_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_no_tensor_computation_4_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_no_tensor_computation_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_non_arg_name_dynamic_shapes_api_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_non_arg_name_dynamic_shapes_api_with_container_type_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_non_persistent_buffer_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_non_strict_dynamic_shapes_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_non_strict_dynamic_shapes_suggested_fixes_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_nonstrict_retrace_preserves_metadata_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_nonzero_2_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_not_correct_dim_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_not_registered_parameter_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_pad_sequence_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_param_util_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_placeholder_naming_collisions_hoo_subgraphs_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_placeholder_naming_collisions_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_predispatch_cond_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_predispatch_grad_wrappers_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_preserve_requires_grad_placeholders_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_preserve_shape_dynamism_for_unused_inputs_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_pytree_register_data_class_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_pytree_register_nested_data_class_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_raise_user_error_when_guard_on_data_dependent_operation_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_redundant_assert_max_upper_bound_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_redundant_asserts_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_refine_dynamic_shapes_from_suggested_fixes_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_reshape_view_helper_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_retracable_ep_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_retrace_graph_level_meta_preservation_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_retrace_pre_autograd_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_run_decomposition_supports_user_input_mutation_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_runtime_assert_for_prim_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_runtime_assert_for_prm_str_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_runtime_assert_with_size_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_set_grad_empty_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_setgrad_lifted_tensor_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_simple_export_for_training_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_slice_with_floordiv_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_solver_unsupported_sympy_function_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_specialize_derived_dim_roots_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_split_const_gm_with_lifted_constants_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_stack_trace_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_state_primitives_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_state_tensors_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_static_dim_constraints_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_suggested_fixes_for_data_dependent_errors_basic_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_suggested_fixes_new_roots_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_sym_sqrt_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_symint_tensor_return_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_tensor_attribute_zero_args_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_to_module_with_mutated_buffer_multiple_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_to_module_with_mutated_buffer_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_torch_check_eq_commutativity_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_torch_fn_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_trace_under_fake_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_train_eval_on_exported_preautograd_module_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_deferred_runtime_retrace_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_slice_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_asserts_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_unused_aliases_retraceability, test/export/test_retraceability.py::RetraceExportTestExport::test_user_input_and_buffer_mutation_retraceability 2024-08-20T22:48:34.9381834Z 2024-08-20T22:48:35.4724092Z 2024-08-20T22:48:35.4726666Z export/test_serdes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serdes_1.1_23bbb2ee7d7b0ea1_.log 2024-08-20T22:48:35.4917782Z Running 184 items in this shard: test/export/test_serdes.py::SerDesExportTestDynamismExpression::test_export_assume_static_by_default_serdes, test/export/test_serdes.py::SerDesExportTestDynamismExpression::test_export_constraints_error_not_in_range_serdes, test/export/test_serdes.py::SerDesExportTestDynamismExpression::test_export_constraints_error_serdes, test/export/test_serdes.py::SerDesExportTestDynamismExpression::test_export_inline_constraints_serdes, test/export/test_serdes.py::SerDesExportTestDynamismExpression::test_export_slice_maxsize_serdes, test/export/test_serdes.py::SerDesExportTestExport::test__scaled_dot_product_flash_attention_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_allow_explicit_guards_as_runtime_asserts_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_args_type_checked_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_aten_lift_fresh_copy_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_automatic_constrain_size_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_basic_non_strict_fake_tensor_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_basic_non_strict_real_tensor_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_basic_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_buffer_util_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_check_is_size_error_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_check_specialized_int_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_checks_to_constrain_range_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_colon_parameter_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_compiling_state_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_cond_buffers_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_cond_with_module_stack_export_with_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_cond_with_module_stack_export_with_unflatten_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_constant_aliasing_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_constant_input_naming_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_constant_output_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_constrain_decomp_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_constrain_size_in_eager_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_constrain_size_with_constrain_value_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_constrain_size_with_various_cases_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_conv_dynamic_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_crop_like_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_cse_for_symint_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_custom_op_auto_functionalize_pre_dispatch_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_custom_op_auto_functionalize_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_custom_op_auto_warn_pre_dispatch_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_decomp_batch_norm_functional_predispatch_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_derived_dim_1_2_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_derived_dim_basic_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_derived_dim_integer_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_derived_dim_nested_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_derived_dim_out_of_order_repeat_derived_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_derived_dim_out_of_order_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_derived_dim_out_of_order_simplified_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_derived_dim_repeat_derived_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_device_to_dynamic_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_device_to_mutation_float_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_device_to_mutation_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_device_to_static_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_dim_1_2_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_disable_forced_specializations_errors_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_disable_forced_specializations_ok_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_dynamic_shapes_builder_basic_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_dynamic_shapes_builder_kwargs_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_dynamic_shapes_builder_pytree_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_dynamic_shapes_spec_with_pytree_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_error_does_not_reference_eager_fallback_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_api_with_dynamic_shapes_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_as_backend_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_cond_preserve_torch_fn_for_subgraphs_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_cond_symbool_pred_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_decomps_dynamic_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_decomps_simple_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_dynamo_config_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_for_training_run_decomp_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_for_training_with_container_type_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_for_training_with_dynamic_shapes_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_for_training_with_mutation_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_func_with_default_kwargs_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_func_with_keyword_only_args_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_func_with_kwargs_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_func_with_pytree_kwargs_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_func_with_var_keyword_args_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_func_with_var_keyword_pytree_args_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_func_with_var_postional_args_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_graph_with_no_inputs_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_input_mutation_bug_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_input_mutation_dynamic_shape_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_input_mutation_static_shape_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_mod_constraints_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_predispatch_custom_ops_warnings_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_preserve_linear_at_aot_level_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_then_compile_tensor_ctor_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_with_fake_tensor_inputs_on_cuda_devices_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_with_fake_tensor_inputs_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_with_inline_constraints_complex_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_with_inline_constraints_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_export_with_wrong_inputs_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_external_call_non_strict_real_tensor_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_fake_inputs_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_fake_weights_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_float_conversion_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_fqn_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_hoo_inline_users_issue_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_if_functional_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_intermediate_shape_comp_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_issue_113041_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_keep_composite_ops_invalid_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_keep_composite_ops_linear_convd_for_training_ir_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_keep_composite_ops_linear_convd_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_layer_sharing_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_lazy_module_kwargs_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_lifted_constants_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_linear_conv_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_map_buffers_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_map_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_mismatched_dynamic_shapes_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_mixed_input_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_module_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_module_with_dict_container_inp_out_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_multiple_definitions_same_name_dim_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_nested_dynamic_shapes_spec_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_nested_module_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_nested_module_with_constant_buffer_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_nested_module_with_init_buffer_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_nested_module_with_parameter_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_nn_module_stack_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_nn_module_stack_shared_submodule_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_no_suggested_fixes_for_data_dependent_errors_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_no_tensor_computation_2_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_no_tensor_computation_3_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_no_tensor_computation_4_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_no_tensor_computation_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_non_arg_name_dynamic_shapes_api_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_non_arg_name_dynamic_shapes_api_with_container_type_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_non_persistent_buffer_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_non_strict_dynamic_shapes_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_non_strict_dynamic_shapes_suggested_fixes_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_nonstrict_retrace_preserves_metadata_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_nonzero_2_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_not_correct_dim_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_not_registered_parameter_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_pad_sequence_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_param_util_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_placeholder_naming_collisions_hoo_subgraphs_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_placeholder_naming_collisions_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_predispatch_cond_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_predispatch_grad_wrappers_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_preserve_requires_grad_placeholders_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_preserve_shape_dynamism_for_unused_inputs_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_pytree_register_data_class_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_pytree_register_nested_data_class_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_raise_user_error_when_guard_on_data_dependent_operation_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_redundant_assert_max_upper_bound_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_redundant_asserts_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_refine_dynamic_shapes_from_suggested_fixes_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_reshape_view_helper_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_retracable_ep_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_retrace_graph_level_meta_preservation_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_retrace_pre_autograd_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_run_decomposition_supports_user_input_mutation_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_runtime_assert_for_prim_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_runtime_assert_for_prm_str_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_runtime_assert_with_size_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_set_grad_empty_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_setgrad_lifted_tensor_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_simple_export_for_training_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_slice_with_floordiv_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_solver_unsupported_sympy_function_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_specialize_derived_dim_roots_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_split_const_gm_with_lifted_constants_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_stack_trace_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_state_primitives_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_state_tensors_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_static_dim_constraints_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_suggested_fixes_for_data_dependent_errors_basic_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_suggested_fixes_new_roots_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_sym_sqrt_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_symint_tensor_return_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_tensor_attribute_zero_args_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_to_module_with_mutated_buffer_multiple_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_to_module_with_mutated_buffer_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_torch_check_eq_commutativity_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_torch_fn_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_trace_under_fake_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_train_eval_on_exported_preautograd_module_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_unbacked_deferred_runtime_retrace_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_unbacked_slice_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_unflatten_asserts_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_unused_aliases_serdes, test/export/test_serdes.py::SerDesExportTestExport::test_user_input_and_buffer_mutation_serdes 2024-08-20T22:48:35.5092170Z 2024-08-20T22:48:37.3746676Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:48:37.4340811Z Running test_autograd 1/1 ... [2024-08-20 22:48:37.433696] 2024-08-20T22:48:37.4341709Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:48:37.4346996Z Executing ['/opt/conda/envs/py_3.12/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 22:48:37.434178] 2024-08-20T22:48:37.9366143Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:48:38.0396255Z Running test_functionalization 1/1 ... [2024-08-20 22:48:38.039192] 2024-08-20T22:48:38.0397363Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:48:38.0400818Z Executing ['/opt/conda/envs/py_3.12/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 22:48:38.039585] 2024-08-20T22:48:43.0353110Z 2024-08-20T22:48:43.0355494Z test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_foreach_1.1_fe550aa195fd26c3_.log 2024-08-20T22:48:43.3362387Z Running 3463 items in this shard: test/test_foreach.py::TestForeachCPU::test_0dim_tensor_overload_cpu_ok_cpu, test/test_foreach.py::TestForeachCPU::test_0dim_tensor_overload_exception_cpu, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_float16, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_float32, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_float64, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int16, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int32, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int64, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int8, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_abs_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_acos_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_add_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_addcdiv_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_addcmul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_asin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_atan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_ceil_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_clamp_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_clamp_min_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_copy_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_cos_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_cosh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_div_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_erf_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_erfc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_exp_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_expm1_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_floor_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_frac_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_lerp_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_lgamma_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_log10_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_log1p_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_log2_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_log_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_maximum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_minimum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_mul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_neg_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_norm_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_pow_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_reciprocal_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_round_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sigmoid_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sign_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sinh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sqrt_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sub_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_tan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_tanh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_trunc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_zero_cpu_float32, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_abs_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_abs_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_abs_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_abs_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_acos_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_acos_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_acos_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_acos_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_add_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_add_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_add_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_add_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcdiv_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcdiv_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcdiv_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcdiv_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcmul_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcmul_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcmul_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcmul_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_asin_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_asin_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_asin_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_asin_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_atan_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_atan_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_atan_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_atan_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_ceil_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_ceil_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_ceil_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_ceil_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_max_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_max_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_max_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_max_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_min_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_min_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_min_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_min_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_copy_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_copy_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_copy_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_copy_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_cos_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_cos_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_cos_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_cos_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_cosh_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_cosh_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_cosh_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_cosh_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_div_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_div_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_div_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_div_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_erf_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_erf_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_erf_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_erf_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_erfc_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_erfc_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_erfc_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_erfc_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_exp_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_exp_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_exp_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_exp_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_expm1_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_expm1_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_expm1_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_expm1_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_floor_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_floor_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_floor_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_floor_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_frac_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_frac_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_frac_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_frac_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_lerp_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_lerp_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_lerp_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_lerp_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_lgamma_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_lgamma_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_lgamma_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_lgamma_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_log10_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_log10_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_log10_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_log10_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_log1p_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_log1p_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_log1p_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_log1p_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_log2_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_log2_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_log2_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_log2_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_log_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_log_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_log_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_log_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_max_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_max_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_max_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_max_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_maximum_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_maximum_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_maximum_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_maximum_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_minimum_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_minimum_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_minimum_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_minimum_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_mul_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_mul_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_mul_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_mul_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_neg_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_neg_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_neg_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_neg_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_norm_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_norm_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_norm_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_norm_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_pow_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_pow_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_pow_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_pow_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_reciprocal_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_reciprocal_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_reciprocal_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_reciprocal_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_round_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_round_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_round_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_round_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sigmoid_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sigmoid_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sigmoid_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sigmoid_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sign_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sign_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sign_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sign_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sin_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sin_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sin_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sin_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sinh_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sinh_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sinh_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sinh_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sqrt_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sqrt_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sqrt_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sqrt_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sub_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sub_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sub_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_sub_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_tan_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_tan_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_tan_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_tan_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_tanh_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_tanh_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_tanh_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_tanh_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_trunc_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_trunc_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_trunc_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_trunc_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_zero_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_zero_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_zero_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_zero_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_big_num_tensors__foreach_max_use_cuda_graph_False_cpu_float32, test/test_foreach.py::TestForeachCPU::test_big_num_tensors__foreach_max_use_cuda_graph_False_cpu_float64, test/test_foreach.py::TestForeachCPU::test_big_num_tensors__foreach_max_use_cuda_graph_True_cpu_float32, test/test_foreach.py::TestForeachCPU::test_big_num_tensors__foreach_max_use_cuda_graph_True_cpu_float64, test/test_foreach.py::TestForeachCPU::test_big_num_tensors__foreach_norm_use_cuda_graph_False_cpu_float32, test/test_foreach.py::TestForeachCPU::test_big_num_tensors__foreach_norm_use_cuda_graph_False_cpu_float64, test/test_foreach.py::TestForeachCPU::test_big_num_tensors__foreach_norm_use_cuda_graph_True_cpu_float32, test/test_foreach.py::TestForeachCPU::test_big_num_tensors__foreach_norm_use_cuda_graph_True_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_add_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_add_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_add_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_add_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_clamp_max_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_clamp_max_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_clamp_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_clamp_max_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_clamp_min_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_clamp_min_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_clamp_min_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_clamp_min_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_div_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_div_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_div_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_div_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_maximum_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_maximum_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_maximum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_maximum_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_minimum_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_minimum_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_minimum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_minimum_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_mul_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_mul_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_mul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_mul_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_pow_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_pow_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_pow_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_pow_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_sub_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_sub_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_sub_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_float_inf_nan__foreach_sub_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_add_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_add_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_add_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_add_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_add_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_add_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_add_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_add_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_add_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_add_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_add_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_add_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_max_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_max_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_max_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_max_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_max_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_max_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_max_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_max_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_max_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_max_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_max_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_min_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_min_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_min_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_min_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_min_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_min_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_min_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_min_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_min_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_min_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_min_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_clamp_min_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_div_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_div_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_div_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_div_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_div_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_div_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_div_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_div_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_div_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_div_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_div_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_div_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_maximum_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_maximum_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_maximum_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_maximum_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_maximum_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_maximum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_maximum_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_maximum_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_maximum_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_maximum_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_maximum_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_maximum_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_minimum_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_minimum_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_minimum_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_minimum_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_minimum_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_minimum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_minimum_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_minimum_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_minimum_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_minimum_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_minimum_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_minimum_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_mul_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_mul_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_mul_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_mul_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_mul_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_mul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_mul_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_mul_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_mul_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_mul_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_mul_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_mul_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_pow_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_pow_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_pow_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_pow_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_pow_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_pow_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_pow_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_pow_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_pow_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_pow_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_pow_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_pow_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_sub_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_sub_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_sub_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_sub_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_sub_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_sub_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_sub_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_sub_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_sub_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_sub_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_sub_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_error_cases__foreach_sub_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_add_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_add_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_add_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_add_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_add_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_add_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_add_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_add_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_add_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_add_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_add_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_add_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_max_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_max_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_max_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_max_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_max_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_max_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_max_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_max_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_max_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_max_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_max_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_min_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_min_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_min_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_min_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_min_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_min_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_min_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_min_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_min_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_min_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_min_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_clamp_min_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_div_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_div_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_div_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_div_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_div_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_div_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_div_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_div_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_div_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_div_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_div_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_div_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_maximum_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_maximum_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_maximum_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_maximum_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_maximum_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_maximum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_maximum_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_maximum_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_maximum_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_maximum_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_maximum_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_maximum_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_minimum_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_minimum_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_minimum_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_minimum_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_minimum_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_minimum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_minimum_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_minimum_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_minimum_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_minimum_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_minimum_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_minimum_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_mul_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_mul_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_mul_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_mul_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_mul_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_mul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_mul_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_mul_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_mul_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_mul_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_mul_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_mul_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_pow_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_pow_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_pow_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_pow_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_pow_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_pow_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_pow_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_pow_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_pow_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_pow_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_pow_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_pow_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_sub_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_sub_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_sub_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_sub_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_sub_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_sub_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_sub_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_sub_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_sub_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_sub_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_sub_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_list_slow_path__foreach_sub_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_different_tensor_dtypes__foreach_add_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_different_tensor_dtypes__foreach_clamp_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_different_tensor_dtypes__foreach_clamp_min_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_different_tensor_dtypes__foreach_div_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_different_tensor_dtypes__foreach_maximum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_different_tensor_dtypes__foreach_minimum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_different_tensor_dtypes__foreach_mul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_different_tensor_dtypes__foreach_pow_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_different_tensor_dtypes__foreach_sub_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_max_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_max_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_max_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_max_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_max_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_max_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_max_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_max_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_max_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_max_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_max_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_min_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_min_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_min_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_min_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_min_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_min_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_min_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_min_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_min_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_min_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_min_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_clamp_min_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_maximum_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_maximum_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_maximum_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_maximum_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_maximum_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_maximum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_maximum_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_maximum_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_maximum_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_maximum_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_maximum_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_maximum_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_minimum_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_minimum_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_minimum_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_minimum_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_minimum_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_minimum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_minimum_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_minimum_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_minimum_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_minimum_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_minimum_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_minimum_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_pow_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_pow_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_pow_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_pow_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_pow_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_pow_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_pow_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_pow_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_pow_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_pow_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_pow_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_pow_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_add_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_add_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_add_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_add_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_add_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_add_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_add_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_add_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_add_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_add_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_add_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_add_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_max_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_max_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_max_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_max_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_max_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_max_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_max_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_max_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_max_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_max_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_max_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_min_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_min_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_min_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_min_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_min_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_min_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_min_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_min_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_min_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_min_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_min_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_clamp_min_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_div_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_div_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_div_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_div_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_div_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_div_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_div_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_div_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_div_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_div_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_div_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_div_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_maximum_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_maximum_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_maximum_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_maximum_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_maximum_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_maximum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_maximum_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_maximum_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_maximum_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_maximum_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_maximum_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_maximum_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_minimum_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_minimum_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_minimum_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_minimum_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_minimum_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_minimum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_minimum_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_minimum_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_minimum_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_minimum_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_minimum_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_minimum_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_mul_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_mul_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_mul_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_mul_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_mul_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_mul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_mul_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_mul_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_mul_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_mul_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_mul_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_mul_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_pow_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_pow_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_pow_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_pow_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_pow_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_pow_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_pow_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_pow_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_pow_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_pow_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_pow_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_pow_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_sub_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_sub_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_sub_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_sub_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_sub_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_sub_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_sub_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_sub_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_sub_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_sub_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_sub_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_tensors_on_different_devices__foreach_sub_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_False_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_False_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_False_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_False_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_False_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_False_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_False_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_False_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_False_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_False_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_False_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_False_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cpu_bool, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cpu_float16, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cpu_float32, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cpu_float64, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cpu_int16, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cpu_int32, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cpu_int64, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cpu_int8, test/test_foreach.py::TestForeachCPU::test_binary_op_with_scalar_self_support__foreach_pow_is_fastpath_True_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_div_reciprocal_cpu, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_device_inputs__foreach_copy_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_device_inputs__foreach_copy_cpu_bool, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_device_inputs__foreach_copy_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_device_inputs__foreach_copy_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_device_inputs__foreach_copy_cpu_float16, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_device_inputs__foreach_copy_cpu_float32, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_device_inputs__foreach_copy_cpu_float64, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_device_inputs__foreach_copy_cpu_int16, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_device_inputs__foreach_copy_cpu_int32, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_device_inputs__foreach_copy_cpu_int64, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_device_inputs__foreach_copy_cpu_int8, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_device_inputs__foreach_copy_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_bool, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_float16, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_float32, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_float64, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_int16, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_int32, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_int64, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_int8, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_foreach_l2_large_value_input__foreach_norm_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_foreach_l2_large_value_input__foreach_norm_cpu_float16, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_max_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_max_cpu_bool, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_max_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_max_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_max_cpu_float16, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_max_cpu_float64, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_max_cpu_int16, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_max_cpu_int32, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_max_cpu_int64, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_max_cpu_int8, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_max_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_norm_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_norm_cpu_bool, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_norm_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_norm_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_norm_cpu_float16, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_norm_cpu_float32, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_norm_cpu_float64, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_norm_cpu_int16, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_norm_cpu_int32, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_norm_cpu_int64, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_norm_cpu_int8, test/test_foreach.py::TestForeachCPU::test_foreach_reduce_large_input__foreach_norm_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_abs_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_acos_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_add_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_addcdiv_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_addcmul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_asin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_atan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_ceil_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_clamp_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_clamp_min_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_copy_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_cos_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_cosh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_div_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_erf_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_erfc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_exp_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_expm1_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_floor_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_frac_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_lerp_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_lgamma_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_log10_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_log1p_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_log2_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_log_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_maximum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_minimum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_mul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_neg_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_pow_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_reciprocal_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_round_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_sigmoid_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_sign_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_sin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_sinh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_sqrt_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_sub_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_tan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_tanh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_trunc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_zero_cpu_float32, test/test_foreach.py::TestForeachCPU::test_lifetime_of_grad_fn_when_result_is_saved__foreach_exp_cpu_float32, test/test_foreach.py::TestForeachCPU::test_lifetime_of_grad_fn_when_result_is_saved__foreach_expm1_cpu_float32, test/test_foreach.py::TestForeachCPU::test_lifetime_of_grad_fn_when_result_is_saved__foreach_pow_cpu_float32, test/test_foreach.py::TestForeachCPU::test_lifetime_of_grad_fn_when_result_is_saved__foreach_reciprocal_cpu_float32, test/test_foreach.py::TestForeachCPU::test_lifetime_of_grad_fn_when_result_is_saved__foreach_sigmoid_cpu_float32, test/test_foreach.py::TestForeachCPU::test_lifetime_of_grad_fn_when_result_is_saved__foreach_sqrt_cpu_float32, test/test_foreach.py::TestForeachCPU::test_lifetime_of_grad_fn_when_result_is_saved__foreach_tan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_lifetime_of_grad_fn_when_result_is_saved__foreach_tanh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_abs_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_acos_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_add_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_addcdiv_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_addcmul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_asin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_atan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_ceil_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_clamp_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_clamp_min_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_cos_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_cosh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_div_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_erf_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_erfc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_exp_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_expm1_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_floor_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_frac_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_lerp_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_lgamma_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_log10_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_log1p_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_log2_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_log_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_maximum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_minimum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_mul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_neg_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_pow_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_reciprocal_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_round_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_sigmoid_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_sign_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_sin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_sinh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_sqrt_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_sub_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_tan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_tanh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_trunc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_abs_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_acos_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_add_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcdiv_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_addcmul_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_asin_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_atan_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_ceil_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_max_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_clamp_min_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_copy_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cos_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_cosh_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_div_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erf_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_erfc_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_exp_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_expm1_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_floor_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_frac_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lerp_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_lgamma_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log10_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log1p_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log2_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_log_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_max_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_maximum_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_minimum_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_mul_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_neg_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_norm_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_pow_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_reciprocal_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_round_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sigmoid_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sign_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sin_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sinh_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sqrt_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_sub_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tan_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_tanh_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_trunc_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_fastpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_inplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_inplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_inplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_inplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_inplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_inplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_inplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_inplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_inplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_inplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_outplace_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_outplace_cpu_bool, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_outplace_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_outplace_cpu_float16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_outplace_cpu_float32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_outplace_cpu_int16, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_outplace_cpu_int32, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_outplace_cpu_int64, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_outplace_cpu_int8, test/test_foreach.py::TestForeachCPU::test_parity__foreach_zero_slowpath_outplace_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_pointwise_op_tensors_on_different_devices__foreach_addcdiv_cpu_float32, test/test_foreach.py::TestForeachCPU::test_pointwise_op_tensors_on_different_devices__foreach_addcdiv_cpu_float64, test/test_foreach.py::TestForeachCPU::test_pointwise_op_tensors_on_different_devices__foreach_addcmul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_pointwise_op_tensors_on_different_devices__foreach_addcmul_cpu_float64, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_False_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_False_cpu_bool, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_False_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_False_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_False_cpu_float16, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_False_cpu_float32, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_False_cpu_float64, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_False_cpu_int16, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_False_cpu_int32, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_False_cpu_int64, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_False_cpu_int8, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_False_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_True_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_True_cpu_bool, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_True_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_True_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_True_cpu_float16, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_True_cpu_float32, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_True_cpu_float64, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_True_cpu_int16, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_True_cpu_int32, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_True_cpu_int64, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_True_cpu_int8, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_True_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_False_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_False_cpu_bool, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_False_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_False_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_False_cpu_float16, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_False_cpu_float32, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_False_cpu_float64, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_False_cpu_int16, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_False_cpu_int32, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_False_cpu_int64, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_False_cpu_int8, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_False_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cpu_bool, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cpu_float16, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cpu_float32, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cpu_float64, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cpu_int16, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cpu_int32, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cpu_int64, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cpu_int8, test/test_foreach.py::TestForeachCPU::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_tensors_grouping_cpu, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_abs_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_abs_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_abs_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_abs_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_abs_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_abs_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_abs_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_abs_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_abs_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_abs_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_abs_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_abs_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_acos_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_acos_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_acos_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_acos_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_acos_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_acos_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_acos_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_acos_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_acos_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_acos_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_acos_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_acos_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_asin_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_asin_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_asin_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_asin_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_asin_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_asin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_asin_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_asin_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_asin_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_asin_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_asin_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_asin_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_atan_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_atan_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_atan_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_atan_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_atan_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_atan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_atan_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_atan_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_atan_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_atan_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_atan_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_atan_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cos_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cos_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cos_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cos_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cos_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cos_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cos_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cos_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cos_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cos_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cos_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cos_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erf_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erf_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erf_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erf_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erf_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erf_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erf_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erf_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erf_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erf_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erf_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erf_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erfc_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erfc_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erfc_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erfc_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erfc_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erfc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erfc_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erfc_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erfc_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erfc_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erfc_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_erfc_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_exp_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_exp_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_exp_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_exp_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_exp_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_exp_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_exp_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_exp_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_exp_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_exp_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_exp_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_exp_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_expm1_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_expm1_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_expm1_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_expm1_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_expm1_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_expm1_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_expm1_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_expm1_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_expm1_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_expm1_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_expm1_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_expm1_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_floor_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_floor_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_floor_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_floor_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_floor_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_floor_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_floor_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_floor_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_floor_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_floor_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_floor_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_floor_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_frac_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_frac_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_frac_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_frac_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_frac_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_frac_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_frac_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_frac_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_frac_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_frac_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_frac_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_frac_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_lgamma_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_lgamma_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_lgamma_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_lgamma_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_lgamma_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_lgamma_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_lgamma_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_lgamma_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_lgamma_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_lgamma_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_lgamma_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_lgamma_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log10_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log10_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log10_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log10_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log10_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log10_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log10_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log10_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log10_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log10_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log10_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log10_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log2_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log2_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log2_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log2_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log2_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log2_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log2_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log2_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log2_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log2_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log2_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log2_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_log_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_neg_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_neg_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_neg_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_neg_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_neg_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_neg_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_neg_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_neg_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_neg_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_neg_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_neg_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_neg_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_reciprocal_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_reciprocal_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_reciprocal_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_reciprocal_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_reciprocal_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_reciprocal_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_reciprocal_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_reciprocal_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_reciprocal_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_reciprocal_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_reciprocal_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_reciprocal_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_round_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_round_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_round_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_round_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_round_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_round_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_round_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_round_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_round_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_round_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_round_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_round_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_uint8 2024-08-20T22:48:43.5654390Z 2024-08-20T22:48:45.4659337Z 2024-08-20T22:48:45.4661742Z test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_1.1_ae27d68a8937ac83_.log 2024-08-20T22:48:45.4785253Z 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 2024-08-20T22:48:45.4857022Z 2024-08-20T22:48:45.8277060Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:48:45.8852695Z Running dynamo/test_frame_init 1/1 ... [2024-08-20 22:48:45.884819] 2024-08-20T22:48:45.8853680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:48:45.8856347Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_frame_init.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 22:48:45.885196] 2024-08-20T22:48:47.9327581Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:48:47.9910010Z Running test_serialization 1/1 ... [2024-08-20 22:48:47.990562] 2024-08-20T22:48:47.9910852Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:48:47.9913285Z Executing ['/opt/conda/envs/py_3.12/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 22:48:47.990920] 2024-08-20T22:48:48.6042406Z 2024-08-20T22:48:48.6044700Z dynamo/test_frame_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_frame_init_1.1_431e128b84548446_.log 2024-08-20T22:48:48.6047321Z Running 1 items in this shard: test/dynamo/test_frame_init.py::FrameInitTests::test_frame_init 2024-08-20T22:48:48.6048404Z 2024-08-20T22:48:51.5307030Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:48:51.5884458Z Running dynamo/test_exceptions 1/1 ... [2024-08-20 22:48:51.587991] 2024-08-20T22:48:51.5885263Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:48:51.5887794Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_exceptions.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 22:48:51.588360] 2024-08-20T22:48:54.8089566Z 2024-08-20T22:48:54.8098283Z dynamo/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exceptions_1.1_78babe14f2a5cb41_.log 2024-08-20T22:48:54.8124152Z Running 15 items in this shard: test/dynamo/test_exceptions.py::ExceptionTests::test_atrribute_error, test/dynamo/test_exceptions.py::ExceptionTests::test_custom_getattr_on_module_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_dynamo_undo_kw_names, test/dynamo/test_exceptions.py::ExceptionTests::test_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_exception2, test/dynamo/test_exceptions.py::ExceptionTests::test_exception3, test/dynamo/test_exceptions.py::ExceptionTests::test_exception4, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_else, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_raised_from_child, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_with_another_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_with_another_exception2, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_with_ctx_manager, test/dynamo/test_exceptions.py::ExceptionTests::test_key_error, test/dynamo/test_exceptions.py::ExceptionTests::test_nn_module_getattr, test/dynamo/test_exceptions.py::ExceptionTests::test_stop_iteration 2024-08-20T22:48:54.8163015Z 2024-08-20T22:48:57.3665084Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:48:57.4259271Z Running export/test_export_training_ir_to_run_decomp 1/1 ... [2024-08-20 22:48:57.425502] 2024-08-20T22:48:57.4260146Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:48:57.4262860Z Executing ['/opt/conda/envs/py_3.12/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 22:48:57.425886] 2024-08-20T22:49:09.2558206Z 2024-08-20T22:49:09.2559723Z test_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_1.1_108a8b188a1553da_.log 2024-08-20T22:49:09.3063325Z 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, test/test_autograd.py::TestAutograd::test_hook_closure_cycle_use_custom_function_False_use_tensor_hook_False, test/test_autograd.py::TestAutograd::test_hook_closure_cycle_use_custom_function_False_use_tensor_hook_True, test/test_autograd.py::TestAutograd::test_hook_closure_cycle_use_custom_function_True_use_tensor_hook_False, test/test_autograd.py::TestAutograd::test_hook_closure_cycle_use_custom_function_True_use_tensor_hook_True, test/test_autograd.py::TestAutograd::test_hook_edge_case_when_called_with_grad, test/test_autograd.py::TestAutograd::test_hook_none, test/test_autograd.py::TestAutograd::test_hook_with_no_name, test/test_autograd.py::TestAutograd::test_hooks, test/test_autograd.py::TestAutograd::test_hooks_cpp, test/test_autograd.py::TestAutograd::test_increment_version, test/test_autograd.py::TestAutograd::test_index_backward_does_not_save_tensor, test/test_autograd.py::TestAutograd::test_indexing, test/test_autograd.py::TestAutograd::test_indexing_duplicates, test/test_autograd.py::TestAutograd::test_inplace, test/test_autograd.py::TestAutograd::test_inplace_not_requires_grad, test/test_autograd.py::TestAutograd::test_inplace_on_view_backward, test/test_autograd.py::TestAutograd::test_inplace_on_view_leaf_errors, test/test_autograd.py::TestAutograd::test_inplace_on_view_saved_output, test/test_autograd.py::TestAutograd::test_inplace_on_view_weak_grad_fn, test/test_autograd.py::TestAutograd::test_input_buffer_accum, test/test_autograd.py::TestAutograd::test_integer_outputs, test/test_autograd.py::TestAutograd::test_invalid_gradients, test/test_autograd.py::TestAutograd::test_isolated_node, test/test_autograd.py::TestAutograd::test_leaf_assignment, test/test_autograd.py::TestAutograd::test_legacy_function_deprecation_exception, test/test_autograd.py::TestAutograd::test_lobpcg, test/test_autograd.py::TestAutograd::test_mark_non_differentiable, test/test_autograd.py::TestAutograd::test_mark_non_differentiable_mixed, test/test_autograd.py::TestAutograd::test_mark_non_differentiable_none, test/test_autograd.py::TestAutograd::test_materialize_grads, test/test_autograd.py::TestAutograd::test_multi_backward, test/test_autograd.py::TestAutograd::test_multi_backward_no_grad, test/test_autograd.py::TestAutograd::test_multi_grad_all_hooks, test/test_autograd.py::TestAutograd::test_multi_grad_any_hooks, test/test_autograd.py::TestAutograd::test_multi_grad_hooks_invalid_mode, test/test_autograd.py::TestAutograd::test_multiple_insert_removal_caching, test/test_autograd.py::TestAutograd::test_named_tensor_for_complex_views, test/test_autograd.py::TestAutograd::test_naughty_anomaly_access, test/test_autograd.py::TestAutograd::test_naughty_autograd_function_attribute_access, test/test_autograd.py::TestAutograd::test_naughty_autograd_function_stashing_ctx, test/test_autograd.py::TestAutograd::test_nested_anomaly_detect_nan, test/test_autograd.py::TestAutograd::test_nested_anomaly_printstack_cleanup, test/test_autograd.py::TestAutograd::test_next_functions, test/test_autograd.py::TestAutograd::test_no_grad, test/test_autograd.py::TestAutograd::test_no_grad_assignment, test/test_autograd.py::TestAutograd::test_no_grad_copy, test/test_autograd.py::TestAutograd::test_no_grad_copy_sparse, test/test_autograd.py::TestAutograd::test_no_grad_input, test/test_autograd.py::TestAutograd::test_no_grad_modifies_version, test/test_autograd.py::TestAutograd::test_no_grad_python_function, test/test_autograd.py::TestAutograd::test_no_requires_grad_inplace, test/test_autograd.py::TestAutograd::test_no_unnecessary_save, test/test_autograd.py::TestAutograd::test_no_unnecessary_unwrapping, test/test_autograd.py::TestAutograd::test_not_implemented_fwad, test/test_autograd.py::TestAutograd::test_not_implemented_grad, test/test_autograd.py::TestAutograd::test_numpy_requires_grad, test/test_autograd.py::TestAutograd::test_once_differentiable, test/test_autograd.py::TestAutograd::test_out_variant_raises_when_inputs_require_grad, test/test_autograd.py::TestAutograd::test_pack_hook_with_inplace_modification_should_fail, test/test_autograd.py::TestAutograd::test_pickle, test/test_autograd.py::TestAutograd::test_post_accumulate_grad_hook_e2e, test/test_autograd.py::TestAutograd::test_post_accumulate_grad_hook_gets_cleaned_up, test/test_autograd.py::TestAutograd::test_post_accumulate_grad_hook_multiple_hooks, test/test_autograd.py::TestAutograd::test_post_accumulate_grad_hook_multiple_tensors, test/test_autograd.py::TestAutograd::test_post_accumulate_grad_hook_on_non_leaf, test/test_autograd.py::TestAutograd::test_post_accumulate_grad_hook_ordering, test/test_autograd.py::TestAutograd::test_post_accumulate_grad_hook_returns_not_None, test/test_autograd.py::TestAutograd::test_pow_zero_tensor_gradient, test/test_autograd.py::TestAutograd::test_power_function, test/test_autograd.py::TestAutograd::test_prehook_ordering, test/test_autograd.py::TestAutograd::test_profiler, test/test_autograd.py::TestAutograd::test_profiler_aggregation_fake, test/test_autograd.py::TestAutograd::test_profiler_aggregation_lstm, test/test_autograd.py::TestAutograd::test_profiler_aggregation_table, test/test_autograd.py::TestAutograd::test_profiler_function_event_avg, test/test_autograd.py::TestAutograd::test_profiler_propagation, test/test_autograd.py::TestAutograd::test_profiler_seq_nr, test/test_autograd.py::TestAutograd::test_profiler_shapes, test/test_autograd.py::TestAutograd::test_profiler_unboxed_only, test/test_autograd.py::TestAutograd::test_pynode_destruction_deadlock, test/test_autograd.py::TestAutograd::test_record_function, test/test_autograd.py::TestAutograd::test_record_function_callbacks, test/test_autograd.py::TestAutograd::test_record_function_legacy, test/test_autograd.py::TestAutograd::test_record_function_multithreaded, test/test_autograd.py::TestAutograd::test_reentrant_child_error, test/test_autograd.py::TestAutograd::test_reentrant_priority, test/test_autograd.py::TestAutograd::test_reentrant_with_callbacks_both_depths, test/test_autograd.py::TestAutograd::test_reentrant_with_callbacks_depth_0, test/test_autograd.py::TestAutograd::test_reentrant_with_callbacks_depth_1, test/test_autograd.py::TestAutograd::test_reentrant_with_leaf_variable_hook, test/test_autograd.py::TestAutograd::test_reentrant_with_non_leaf_variable_hook, test/test_autograd.py::TestAutograd::test_requires_grad, test/test_autograd.py::TestAutograd::test_requires_grad_, test/test_autograd.py::TestAutograd::test_requires_grad_inplace, test/test_autograd.py::TestAutograd::test_retain_grad, test/test_autograd.py::TestAutograd::test_retain_grad_cycle, test/test_autograd.py::TestAutograd::test_retain_grad_inplace, test/test_autograd.py::TestAutograd::test_retain_grad_inplace_over_view, test/test_autograd.py::TestAutograd::test_retains_grad_can_always_observe_tensor_prehook, test/test_autograd.py::TestAutograd::test_retains_grad_inplace_multiple_outputs, test/test_autograd.py::TestAutograd::test_return_duplicate, test/test_autograd.py::TestAutograd::test_return_duplicate_inplace, test/test_autograd.py::TestAutograd::test_return_leaf, test/test_autograd.py::TestAutograd::test_return_leaf_inplace, test/test_autograd.py::TestAutograd::test_save_none_for_backward, test/test_autograd.py::TestAutograd::test_save_on_cpu_and_checkpoint, test/test_autograd.py::TestAutograd::test_save_output_nr, test/test_autograd.py::TestAutograd::test_save_tensor_hook_version_counter_not_shared, test/test_autograd.py::TestAutograd::test_saved_tensor_hooks_custom_error_propagaation, test/test_autograd.py::TestAutograd::test_saved_tensor_hooks_custom_function_intermediates, test/test_autograd.py::TestAutograd::test_saved_tensor_hooks_extra_enter_during_bw_no_leak, test/test_autograd.py::TestAutograd::test_saved_tensor_hooks_extra_exit_during_bw_no_crash, test/test_autograd.py::TestAutograd::test_saved_variable_packing_unpacking_did_not_save_original_with_default_hooks, test/test_autograd.py::TestAutograd::test_saved_variable_packing_unpacking_did_not_save_original_with_hooks, test/test_autograd.py::TestAutograd::test_saved_variable_packing_unpacking_saved_original_with_default_hooks, test/test_autograd.py::TestAutograd::test_saved_variable_packing_unpacking_saved_original_with_hooks, test/test_autograd.py::TestAutograd::test_saved_variable_saved_original_inplace_detach, test/test_autograd.py::TestAutograd::test_saved_variable_version_counter, test/test_autograd.py::TestAutograd::test_saved_variables_deprecated, test/test_autograd.py::TestAutograd::test_saving_variable_to_disk, test/test_autograd.py::TestAutograd::test_scalar_grad_mixed_device, test/test_autograd.py::TestAutograd::test_select_expanded_v, test/test_autograd.py::TestAutograd::test_select_sum, test/test_autograd.py::TestAutograd::test_set_data_preserve_pyobj, test/test_autograd.py::TestAutograd::test_set_data_self_requires_grad, test/test_autograd.py::TestAutograd::test_set_data_tensorimpl_type, test/test_autograd.py::TestAutograd::test_set_grad_coroutines, test/test_autograd.py::TestAutograd::test_set_grad_coroutines_benign_exceptions, test/test_autograd.py::TestAutograd::test_set_grad_coroutines_critical_exceptions, test/test_autograd.py::TestAutograd::test_set_grad_coroutines_exit, test/test_autograd.py::TestAutograd::test_set_grad_enabled, test/test_autograd.py::TestAutograd::test_set_grad_enabled_wraps, test/test_autograd.py::TestAutograd::test_set_grad_generator_functions, test/test_autograd.py::TestAutograd::test_set_grad_generator_functions_recursive, test/test_autograd.py::TestAutograd::test_set_materialize_non_diff_grads, test/test_autograd.py::TestAutograd::test_setitem, test/test_autograd.py::TestAutograd::test_setitem_mask, test/test_autograd.py::TestAutograd::test_setting_default_saved_variable_hooks_twice_should_not_fail, test/test_autograd.py::TestAutograd::test_setting_default_saved_variable_hooks_twice_should_use_inner, test/test_autograd.py::TestAutograd::test_setup_context_when_forward_has_default_args, test/test_autograd.py::TestAutograd::test_shape, test/test_autograd.py::TestAutograd::test_sharded_grad, test/test_autograd.py::TestAutograd::test_simple_reentrant, test/test_autograd.py::TestAutograd::test_slice_expanded_v, test/test_autograd.py::TestAutograd::test_sparse_gather_both_scalar, test/test_autograd.py::TestAutograd::test_sparse_gather_dim0, test/test_autograd.py::TestAutograd::test_sparse_gather_dim1, test/test_autograd.py::TestAutograd::test_sparse_gather_dim_neg, test/test_autograd.py::TestAutograd::test_sparse_gather_ind_scalar, test/test_autograd.py::TestAutograd::test_sparse_gather_x_scalar, test/test_autograd.py::TestAutograd::test_sparse_mm_backward, test/test_autograd.py::TestAutograd::test_tensor_grad_warnings, test/test_autograd.py::TestAutograd::test_tensor_hooks_inplace, 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, test/test_autograd.py::TestAutogradInferenceMode::test_normal_tensor_view_output_in_inference_mode, test/test_autograd.py::TestAutogradInferenceMode::test_normal_tensor_view_output_in_normal_mode, test/test_autograd.py::TestMultithreadAutograd::test_cat_stack_r_to_c, test/test_autograd.py::TestMultithreadAutograd::test_custom_function_propagates_errors_from_device_thread, test/test_autograd.py::TestMultithreadAutograd::test_dataparallel_saved_tensors_hooks, test/test_autograd.py::TestMultithreadAutograd::test_fork_join_in_middle, test/test_autograd.py::TestMultithreadAutograd::test_multi_grad_all_hooks, test/test_autograd.py::TestMultithreadAutograd::test_multi_grad_any_hooks, test/test_autograd.py::TestMultithreadAutograd::test_multithreaded_exception_propagation, test/test_autograd.py::TestMultithreadAutograd::test_preserve_backtrace, test/test_autograd.py::TestMultithreadAutograd::test_python_thread_in_middle, test/test_autograd.py::TestMultithreadAutograd::test_set_multithreading_enabled_as_context_manager_and_function, test/test_autograd.py::TestMultithreadAutograd::test_simple_backward, test/test_autograd.py::TestMultithreadAutograd::test_simple_backward_same_input, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_early_stop_False, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_early_stop_True, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_kwargs_early_stop_False, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_kwargs_early_stop_True, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_non_tensor_inputs_and_outputs_early_stop_False, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_non_tensor_inputs_and_outputs_early_stop_True, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_reentrant_backwards_early_stop_False, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_reentrant_backwards_early_stop_True, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_same_graph_early_stop_False, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_same_graph_early_stop_True, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_set_early_stop, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_set_early_stop_no_recompution_needed, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_two_children_early_stop_False, test/test_autograd.py::TestNestedCheckpoint::test_nested_checkpoint_two_children_early_stop_True, test/test_autograd.py::TestSelectiveActivationCheckpoint::test_bad_inputs, test/test_autograd.py::TestSelectiveActivationCheckpoint::test_can_only_trigger_recompute_once, test/test_autograd.py::TestSelectiveActivationCheckpoint::test_flops_and_mem, test/test_autograd.py::TestSelectiveActivationCheckpoint::test_function_with_more_than_one_output, test/test_autograd.py::TestSelectiveActivationCheckpoint::test_function_with_non_tensor_output, test/test_autograd.py::TestSelectiveActivationCheckpoint::test_output_already_has_autograd_meta, test/test_autograd.py::TestSelectiveActivationCheckpoint::test_policy_with_state, test/test_autograd.py::TestSelectiveActivationCheckpoint::test_storage_lifetime, test/test_autograd.py::TestSelectiveActivationCheckpoint::test_subclass_dispatching_sizes, test/test_autograd.py::TestSelectiveActivationCheckpoint::test_version_counter, test/test_autograd.py::TestAutogradComplex::test_view_func_for_complex_views, test/test_autograd.py::TestAutogradComplex::test_view_with_multi_output, test/test_autograd.py::TestAutogradFunctional::test_construct_standard_basis_for_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_construct_standard_basis_for_cuda_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_construct_standard_basis_for_cuda_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_construct_standard_basis_for_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_create_graph_vectorize_False_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_create_graph_vectorize_False_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_create_graph_vectorize_True_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_create_graph_vectorize_True_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_err_check_strict_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_err_check_strict_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_err_check_strict_vectorize_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_err_check_strict_vectorize_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_err_check_vectorize_False_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_err_check_vectorize_False_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_err_check_vectorize_True_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_err_check_vectorize_True_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_match_vhp_hvp_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_match_vhp_hvp_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_no_grad_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_no_grad_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_output_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_output_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_output_vectorized_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_output_vectorized_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_scalar_vectorize_False_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_scalar_vectorize_False_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_scalar_vectorize_True_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_scalar_vectorize_True_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_vectorize_correctness_multi_input_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_vectorize_correctness_multi_input_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_vectorize_correctness_simple_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_vectorize_correctness_simple_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_vectorize_correctness_unrelated_outputs_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_vectorize_correctness_unrelated_outputs_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_vectorize_raises_no_warnings_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hessian_vectorize_raises_no_warnings_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_create_graph_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_create_graph_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_err_check_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_err_check_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_err_check_strict_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_err_check_strict_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_no_grad_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_no_grad_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_output_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_output_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_scalar_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_hvp_scalar_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_create_graph_vectorize_False_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_create_graph_vectorize_False_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_create_graph_vectorize_True_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_create_graph_vectorize_True_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_err_check_strict_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_err_check_strict_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_err_check_strict_vectorize_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_err_check_strict_vectorize_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_err_check_vectorize_False_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_err_check_vectorize_False_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_err_check_vectorize_True_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_err_check_vectorize_True_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_match_vjp_jvp_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_match_vjp_jvp_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_no_grad_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_no_grad_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_output_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_output_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_output_vectorized_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_output_vectorized_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_scalar_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_scalar_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_scalar_vectorized_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_scalar_vectorized_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_different_devices_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_different_devices_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_different_dtype_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_different_dtype_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_multi_input_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_multi_input_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_multi_input_multi_output_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_multi_input_multi_output_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_simple_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_simple_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_unrelated_outputs_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_unrelated_outputs_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_zero_dim_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_zero_dim_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_raises_no_warnings_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_raises_no_warnings_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_create_graph_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_create_graph_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_err_check_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_err_check_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_err_check_strict_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_err_check_strict_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_no_grad_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_no_grad_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_output_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_output_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_scalar_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_scalar_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_create_graph_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_create_graph_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_err_check_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_err_check_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_err_check_strict_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_err_check_strict_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_no_grad_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_no_grad_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_output_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_output_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_scalar_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_scalar_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_create_graph_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_create_graph_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_err_check_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_err_check_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_err_check_strict_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_err_check_strict_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_no_grad_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_no_grad_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_output_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_output_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_scalar_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_scalar_logging_tensor, test/test_autograd.py::TestAutogradLogging::test_logging, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_advanced_indexing_backwards_large_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_advanced_indexing_backwards_memory_format_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_backward_device_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_complex_scalar_backward_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_copy__cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_copy_forward_ad_broadcasting_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_copy_forward_ad_same_layout_copies_grad_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_copy_r_to_c_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_cross_device_reentrant_autograd_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_free_unneeded_tensor_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_grad_assignment_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_gradcheck_input_output_different_device_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_multiple_output_view_of_view_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_backprop_base_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_backprop_view_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_backprop_view_of_view_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_gradcheck_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_makes_base_require_grad_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_modify_base_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_multi_output_safe_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_multi_output_unsafe_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_multiple_outputs_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_non_contig_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_of_multiple_output_view_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_of_view_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_python_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_then_no_grad_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_undefined_grad_output_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inputbuffer_add_multidevice_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_min_max_median_backprops_to_all_values_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_mv_grad_stride_0_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_non_differentiable_ops_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_parameter_resize_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_pin_memory_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_pow_real_negative_base_complex_exponent_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_profiler_emit_itt_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_profiler_emit_nvtx_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_pyscalar_conversions_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_reentrant_parent_error_on_cpu_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_requires_grad_factory_cpu_float32, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_requires_grad_factory_cpu_float64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_resize_version_bump_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_rnn_backward_to_input_but_not_parameters_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_scatter_index_reduce_amin_amax_backprops_to_all_values_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_scatter_index_reduce_prod_gradgrad_error_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_float32, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_float64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_int16, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_int32, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_int64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_int8, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_simple_reentrant_cross_device_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_backward_cpu_complex128, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_backward_cpu_float64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_ctor_getter_backward_cpu_complex128, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_ctor_getter_backward_cpu_float64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_mask_autograd_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_strided_leaf_grad_layout_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_to_r_to_c_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_unused_output_device_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_warning_in_backward_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_where_functional_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_where_scalar_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_autograd_composite_implicit_and_dispatch_registration_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_autograd_multiple_dispatch_registrations_cpu, 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 2024-08-20T22:49:09.3559041Z 2024-08-20T22:49:11.7120614Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:49:11.7694253Z Running dynamo/test_utils 1/1 ... [2024-08-20 22:49:11.769050] 2024-08-20T22:49:11.7694985Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:49:11.7698002Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_utils.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 22:49:11.769408] 2024-08-20T22:49:14.5391356Z 2024-08-20T22:49:14.5393795Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_9b972274e056e498_.log 2024-08-20T22:49:14.5397796Z Running 3 items in this shard: test/dynamo/test_utils.py::TestUtils::test_larger_multiplier_for_even_smaller_tensor, test/dynamo/test_utils.py::TestUtils::test_larger_multiplier_for_smaller_tensor, test/dynamo/test_utils.py::TestUtils::test_nan 2024-08-20T22:49:14.5400307Z 2024-08-20T22:49:16.8639207Z 2024-08-20T22:49:16.8642515Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_b20b10b1c11ea089_.log 2024-08-20T22:49:16.8708300Z 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 2024-08-20T22:49:16.8772917Z 2024-08-20T22:49:17.2401009Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:49:19.4039271Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:49:53.3721148Z 2024-08-20T22:49:53.3723971Z 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_7df94a99fb6bf62c_.log 2024-08-20T22:49:53.4054333Z Running 368 items in this shard: test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_assume_static_by_default_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_constraints_error_not_in_range_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_constraints_error_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_inline_constraints_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_slice_maxsize_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_assume_static_by_default_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_constraints_error_not_in_range_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_constraints_error_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_inline_constraints_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_slice_maxsize_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test__scaled_dot_product_flash_attention_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_allow_explicit_guards_as_runtime_asserts_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_args_type_checked_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_aten_lift_fresh_copy_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_automatic_constrain_size_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_basic_non_strict_fake_tensor_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_basic_non_strict_real_tensor_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_basic_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_buffer_util_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_check_is_size_error_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_check_specialized_int_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_checks_to_constrain_range_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_colon_parameter_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_compiling_state_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_buffers_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_with_module_stack_export_with_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_with_module_stack_export_with_unflatten_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_aliasing_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_input_naming_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_output_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constrain_decomp_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constrain_size_in_eager_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constrain_size_with_constrain_value_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constrain_size_with_various_cases_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_conv_dynamic_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_crop_like_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cse_for_symint_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_custom_op_auto_functionalize_pre_dispatch_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_custom_op_auto_functionalize_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_custom_op_auto_warn_pre_dispatch_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_decomp_batch_norm_functional_predispatch_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_derived_dim_1_2_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_derived_dim_basic_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_derived_dim_integer_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_derived_dim_nested_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_derived_dim_out_of_order_repeat_derived_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_derived_dim_out_of_order_simplified_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_derived_dim_out_of_order_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_derived_dim_repeat_derived_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_device_to_dynamic_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_device_to_mutation_float_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_device_to_mutation_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_device_to_static_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dim_1_2_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_disable_forced_specializations_errors_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_disable_forced_specializations_ok_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dynamic_shapes_builder_basic_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dynamic_shapes_builder_kwargs_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dynamic_shapes_builder_pytree_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dynamic_shapes_spec_with_pytree_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_error_does_not_reference_eager_fallback_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_api_with_dynamic_shapes_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_as_backend_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_cond_preserve_torch_fn_for_subgraphs_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_cond_symbool_pred_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_decomps_dynamic_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_decomps_simple_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_dynamo_config_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_for_training_run_decomp_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_for_training_with_container_type_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_for_training_with_dynamic_shapes_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_for_training_with_mutation_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_default_kwargs_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_keyword_only_args_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_kwargs_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_pytree_kwargs_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_var_keyword_args_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_var_keyword_pytree_args_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_var_postional_args_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_graph_with_no_inputs_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_input_mutation_bug_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_input_mutation_dynamic_shape_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_input_mutation_static_shape_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_mod_constraints_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_predispatch_custom_ops_warnings_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_preserve_linear_at_aot_level_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_then_compile_tensor_ctor_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_fake_tensor_inputs_on_cuda_devices_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_fake_tensor_inputs_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_inline_constraints_complex_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_inline_constraints_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_wrong_inputs_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_external_call_non_strict_real_tensor_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_fake_inputs_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_fake_weights_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_float_conversion_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_fqn_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_hoo_inline_users_issue_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_if_functional_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_intermediate_shape_comp_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_issue_113041_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_keep_composite_ops_invalid_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_keep_composite_ops_linear_convd_for_training_ir_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_keep_composite_ops_linear_convd_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_layer_sharing_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_lazy_module_kwargs_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_lifted_constants_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_linear_conv_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_map_buffers_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_map_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_mismatched_dynamic_shapes_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_mixed_input_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_module_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_module_with_dict_container_inp_out_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_multiple_definitions_same_name_dim_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nested_dynamic_shapes_spec_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nested_module_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nested_module_with_constant_buffer_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nested_module_with_init_buffer_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nested_module_with_parameter_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nn_module_stack_shared_submodule_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nn_module_stack_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_no_suggested_fixes_for_data_dependent_errors_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_no_tensor_computation_2_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_no_tensor_computation_3_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_no_tensor_computation_4_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_no_tensor_computation_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_non_arg_name_dynamic_shapes_api_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_non_arg_name_dynamic_shapes_api_with_container_type_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_non_persistent_buffer_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_non_strict_dynamic_shapes_suggested_fixes_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_non_strict_dynamic_shapes_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nonstrict_retrace_preserves_metadata_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nonzero_2_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_not_correct_dim_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_not_registered_parameter_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_pad_sequence_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_param_util_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_placeholder_naming_collisions_hoo_subgraphs_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_placeholder_naming_collisions_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_predispatch_cond_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_predispatch_grad_wrappers_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_preserve_requires_grad_placeholders_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_preserve_shape_dynamism_for_unused_inputs_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_pytree_register_data_class_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_pytree_register_nested_data_class_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_raise_user_error_when_guard_on_data_dependent_operation_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_redundant_assert_max_upper_bound_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_redundant_asserts_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_refine_dynamic_shapes_from_suggested_fixes_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_reshape_view_helper_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_retracable_ep_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_retrace_graph_level_meta_preservation_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_retrace_pre_autograd_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_run_decomposition_supports_user_input_mutation_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_runtime_assert_for_prim_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_runtime_assert_for_prm_str_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_runtime_assert_with_size_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_set_grad_empty_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_setgrad_lifted_tensor_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_simple_export_for_training_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_slice_with_floordiv_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_solver_unsupported_sympy_function_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_specialize_derived_dim_roots_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_split_const_gm_with_lifted_constants_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_stack_trace_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_state_primitives_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_state_tensors_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_static_dim_constraints_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_suggested_fixes_for_data_dependent_errors_basic_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_suggested_fixes_new_roots_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_sym_sqrt_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symint_tensor_return_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_tensor_attribute_zero_args_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_to_module_with_mutated_buffer_multiple_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_to_module_with_mutated_buffer_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_torch_check_eq_commutativity_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_torch_fn_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_trace_under_fake_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_train_eval_on_exported_preautograd_module_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_deferred_runtime_retrace_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_slice_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_asserts_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unused_aliases_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_user_input_and_buffer_mutation_training_ir_to_decomp, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test__scaled_dot_product_flash_attention_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_allow_explicit_guards_as_runtime_asserts_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_args_type_checked_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_aten_lift_fresh_copy_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_automatic_constrain_size_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_basic_non_strict_fake_tensor_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_basic_non_strict_real_tensor_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_basic_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_buffer_util_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_check_is_size_error_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_check_specialized_int_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_checks_to_constrain_range_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_colon_parameter_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_compiling_state_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_buffers_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_with_module_stack_export_with_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_with_module_stack_export_with_unflatten_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_aliasing_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_input_naming_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_output_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constrain_decomp_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constrain_size_in_eager_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constrain_size_with_constrain_value_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constrain_size_with_various_cases_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_conv_dynamic_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_crop_like_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cse_for_symint_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_custom_op_auto_functionalize_pre_dispatch_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_custom_op_auto_functionalize_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_custom_op_auto_warn_pre_dispatch_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_decomp_batch_norm_functional_predispatch_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_1_2_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_basic_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_integer_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_nested_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_out_of_order_repeat_derived_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_out_of_order_simplified_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_out_of_order_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_repeat_derived_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_device_to_dynamic_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_device_to_mutation_float_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_device_to_mutation_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_device_to_static_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dim_1_2_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_disable_forced_specializations_errors_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_disable_forced_specializations_ok_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_builder_basic_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_builder_kwargs_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_builder_pytree_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_spec_with_pytree_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_error_does_not_reference_eager_fallback_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_api_with_dynamic_shapes_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_as_backend_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_cond_preserve_torch_fn_for_subgraphs_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_cond_symbool_pred_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_decomps_dynamic_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_decomps_simple_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_dynamo_config_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_for_training_run_decomp_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_for_training_with_container_type_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_for_training_with_dynamic_shapes_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_for_training_with_mutation_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_default_kwargs_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_keyword_only_args_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_kwargs_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_pytree_kwargs_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_var_keyword_args_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_var_keyword_pytree_args_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_var_postional_args_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_graph_with_no_inputs_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_input_mutation_bug_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_input_mutation_dynamic_shape_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_input_mutation_static_shape_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_mod_constraints_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_predispatch_custom_ops_warnings_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_preserve_linear_at_aot_level_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_then_compile_tensor_ctor_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_fake_tensor_inputs_on_cuda_devices_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_fake_tensor_inputs_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_inline_constraints_complex_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_inline_constraints_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_wrong_inputs_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_external_call_non_strict_real_tensor_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_fake_inputs_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_fake_weights_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_float_conversion_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_fqn_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_hoo_inline_users_issue_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_if_functional_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_intermediate_shape_comp_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_issue_113041_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_keep_composite_ops_invalid_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_keep_composite_ops_linear_convd_for_training_ir_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_keep_composite_ops_linear_convd_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_layer_sharing_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_lazy_module_kwargs_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_lifted_constants_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_linear_conv_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_map_buffers_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_map_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_mismatched_dynamic_shapes_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_mixed_input_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_module_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_module_with_dict_container_inp_out_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_multiple_definitions_same_name_dim_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nested_dynamic_shapes_spec_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nested_module_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nested_module_with_constant_buffer_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nested_module_with_init_buffer_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nested_module_with_parameter_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nn_module_stack_shared_submodule_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nn_module_stack_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_no_suggested_fixes_for_data_dependent_errors_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_no_tensor_computation_2_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_no_tensor_computation_3_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_no_tensor_computation_4_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_no_tensor_computation_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_non_arg_name_dynamic_shapes_api_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_non_arg_name_dynamic_shapes_api_with_container_type_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_non_persistent_buffer_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_non_strict_dynamic_shapes_suggested_fixes_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_non_strict_dynamic_shapes_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nonstrict_retrace_preserves_metadata_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nonzero_2_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_not_correct_dim_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_not_registered_parameter_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_pad_sequence_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_param_util_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_placeholder_naming_collisions_hoo_subgraphs_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_placeholder_naming_collisions_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_predispatch_cond_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_predispatch_grad_wrappers_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_preserve_requires_grad_placeholders_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_preserve_shape_dynamism_for_unused_inputs_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_pytree_register_data_class_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_pytree_register_nested_data_class_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_raise_user_error_when_guard_on_data_dependent_operation_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_redundant_assert_max_upper_bound_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_redundant_asserts_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_refine_dynamic_shapes_from_suggested_fixes_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_reshape_view_helper_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_retracable_ep_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_retrace_graph_level_meta_preservation_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_retrace_pre_autograd_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_run_decomposition_supports_user_input_mutation_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_runtime_assert_for_prim_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_runtime_assert_for_prm_str_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_runtime_assert_with_size_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_set_grad_empty_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_setgrad_lifted_tensor_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_simple_export_for_training_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_slice_with_floordiv_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_solver_unsupported_sympy_function_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_specialize_derived_dim_roots_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_split_const_gm_with_lifted_constants_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_stack_trace_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_state_primitives_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_state_tensors_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_static_dim_constraints_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_suggested_fixes_for_data_dependent_errors_basic_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_suggested_fixes_new_roots_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_sym_sqrt_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symint_tensor_return_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_tensor_attribute_zero_args_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_to_module_with_mutated_buffer_multiple_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_to_module_with_mutated_buffer_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_torch_check_eq_commutativity_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_torch_fn_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_trace_under_fake_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_train_eval_on_exported_preautograd_module_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_deferred_runtime_retrace_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_slice_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_asserts_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unused_aliases_training_ir_to_decomp_non_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_user_input_and_buffer_mutation_training_ir_to_decomp_non_strict 2024-08-20T22:49:53.4364850Z 2024-08-20T22:49:53.8578928Z Running test batch 'tests to run' cost 4181.36 seconds 2024-08-20T22:49:54.4803165Z 2024-08-20T22:49:54.4803608Z real 69m45.542s 2024-08-20T22:49:54.4803973Z user 200m59.949s 2024-08-20T22:49:54.4806715Z sys 21m12.220s 2024-08-20T22:49:54.4807547Z + assert_git_not_dirty 2024-08-20T22:49:54.4808427Z + [[ linux-focal-py3.12-clang10-experimental-split-build != *rocm* ]] 2024-08-20T22:49:54.4813507Z + [[ linux-focal-py3.12-clang10-experimental-split-build != *xla* ]] 2024-08-20T22:49:54.4829542Z ++ git status --porcelain 2024-08-20T22:49:54.4830176Z ++ grep -v '?? third_party' 2024-08-20T22:50:17.5500742Z ++ true 2024-08-20T22:50:17.5501177Z + git_status= 2024-08-20T22:50:17.5501755Z + [[ -n '' ]] 2024-08-20T22:50:17.5506017Z + test_aten 2024-08-20T22:50:17.5506830Z + echo 'Running ATen tests with pytorch lib' 2024-08-20T22:50:17.5507310Z Running ATen tests with pytorch lib 2024-08-20T22:50:17.5507878Z + [[ -n '' ]] 2024-08-20T22:50:17.5508265Z + echo 'Running test with the build folder' 2024-08-20T22:50:17.5508705Z Running test with the build folder 2024-08-20T22:50:17.5509095Z + TEST_BASE_DIR=build/bin 2024-08-20T22:50:17.5509836Z + ln -sf /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libc10.so build/bin 2024-08-20T22:50:17.5529578Z + ln -sf '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libcaffe2*' build/bin 2024-08-20T22:50:17.5539098Z + ln -sf '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libmkldnn*' build/bin 2024-08-20T22:50:17.5548695Z + ln -sf '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libnccl*' build/bin 2024-08-20T22:50:17.5560940Z + ln -sf /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorchbind_test.so build/bin 2024-08-20T22:50:17.5567123Z + ls build/bin 2024-08-20T22:50:17.5632172Z BackoffTest cpu_rng_test 2024-08-20T22:50:17.5632887Z CMakeFiles dispatch_key_set_test 2024-08-20T22:50:17.5633641Z CTestTestfile.cmake dlconvertor_test 2024-08-20T22:50:17.5634405Z CppSignature_test example_allreduce 2024-08-20T22:50:17.5635139Z Dict_test extension_backend_test 2024-08-20T22:50:17.5635759Z Dimname_test half_test 2024-08-20T22:50:17.5636251Z FileStoreTest inline_container_test 2024-08-20T22:50:17.5637058Z HashStoreTest ivalue_test 2024-08-20T22:50:17.5637548Z IListRef_test kernel_function_legacy_test 2024-08-20T22:50:17.5638089Z KernelFunction_test kernel_function_test 2024-08-20T22:50:17.5638629Z List_test kernel_lambda_legacy_test 2024-08-20T22:50:17.5639082Z Makefile kernel_lambda_test 2024-08-20T22:50:17.5639529Z MaybeOwned_test kernel_stackbased_test 2024-08-20T22:50:17.5639995Z NamedTensor_test lazy_tensor_test 2024-08-20T22:50:17.5640481Z ProcessGroupGlooTest legacy_vmap_test 2024-08-20T22:50:17.5640951Z StorageUtils_test libc10.so 2024-08-20T22:50:17.5641488Z TCPStoreTest 'libcaffe2*' 2024-08-20T22:50:17.5641960Z aot_model_compiler_test 'libmkldnn*' 2024-08-20T22:50:17.5642443Z apply_utils_test 'libnccl*' 2024-08-20T22:50:17.5642815Z atest libtorch.so 2024-08-20T22:50:17.5643218Z backend_fallback_test libtorch_cpu.so 2024-08-20T22:50:17.5643740Z basic libtorch_global_deps.so 2024-08-20T22:50:17.5644177Z broadcast_test libtorch_python.so 2024-08-20T22:50:17.5644654Z c10_Bitset_test libtorchbind_test.so 2024-08-20T22:50:17.5645292Z c10_CompileTimeFunctionPointer_test make_boxed_from_unboxed_functor_test 2024-08-20T22:50:17.5645940Z c10_ConstexprCrc_test math_kernel_test 2024-08-20T22:50:17.5646455Z c10_DeadlockDetection_test memory_format_test 2024-08-20T22:50:17.5647007Z c10_DeviceGuard_test memory_overlapping_test 2024-08-20T22:50:17.5647517Z c10_Device_test mobile_memory_cleanup 2024-08-20T22:50:17.5647974Z c10_DispatchKeySet_test native_test 2024-08-20T22:50:17.5648430Z c10_Half_test op_allowlist_test 2024-08-20T22:50:17.5648956Z c10_InlineDeviceGuard_test op_registration_test 2024-08-20T22:50:17.5649516Z c10_InlineStreamGuard_test operator_name_test 2024-08-20T22:50:17.5650016Z c10_LeftRight_test operators_test 2024-08-20T22:50:17.5650549Z c10_Metaprogramming_test packedtensoraccessor_test 2024-08-20T22:50:17.5651077Z c10_Scalar_test parallel_benchmark 2024-08-20T22:50:17.5651536Z c10_SizesAndStrides_test pow_test 2024-08-20T22:50:17.5651966Z c10_StreamGuard_test protoc 2024-08-20T22:50:17.5652555Z c10_SymInt_test protoc-3.13.0.0 2024-08-20T22:50:17.5653011Z c10_Synchronized_test quantized_test 2024-08-20T22:50:17.5653487Z c10_ThreadLocal_test reduce_ops_test 2024-08-20T22:50:17.5653966Z c10_TypeIndex_test reportMemoryUsage_test 2024-08-20T22:50:17.5654468Z c10_TypeList_test scalar_tensor_test 2024-08-20T22:50:17.5654915Z c10_TypeTraits_test scalar_test 2024-08-20T22:50:17.5655370Z c10_accumulate_test static_runtime_bench 2024-08-20T22:50:17.5655860Z c10_bfloat16_test static_runtime_test 2024-08-20T22:50:17.5656353Z c10_bit_cast_test stride_properties_test 2024-08-20T22:50:17.5656862Z c10_complex_math_test tensor_iterator_test 2024-08-20T22:50:17.5657314Z c10_complex_test test_api 2024-08-20T22:50:17.5657756Z c10_cow_test test_cpp_rpc 2024-08-20T22:50:17.5658235Z c10_exception_test test_dist_autograd 2024-08-20T22:50:17.5658706Z c10_flags_test test_edge_op_registration 2024-08-20T22:50:17.5659175Z c10_generic_math_test test_jit 2024-08-20T22:50:17.5659621Z c10_intrusive_ptr_benchmark test_lazy 2024-08-20T22:50:17.5660112Z c10_intrusive_ptr_test test_mobile_nnc 2024-08-20T22:50:17.5660564Z c10_irange_test test_parallel 2024-08-20T22:50:17.5661068Z c10_lazy_test test_tensorexpr 2024-08-20T22:50:17.5661534Z c10_logging_test thread_init_test 2024-08-20T22:50:17.5661991Z c10_optional_test torch_shm_manager 2024-08-20T22:50:17.5662528Z c10_ordered_preserving_dict_test tutorial_tensorexpr 2024-08-20T22:50:17.5663037Z c10_registry_test type_ptr_test 2024-08-20T22:50:17.5663460Z c10_small_vector_test type_test 2024-08-20T22:50:17.5663907Z c10_ssize_test undefined_tensor_test 2024-08-20T22:50:17.5664399Z c10_string_util_test vec_test_all_types_AVX2 2024-08-20T22:50:17.5664944Z c10_string_view_test vec_test_all_types_AVX512 2024-08-20T22:50:17.5665492Z c10_tempfile_test vec_test_all_types_DEFAULT 2024-08-20T22:50:17.5665988Z c10_typeid_test verify_api_visibility 2024-08-20T22:50:17.5666452Z cmake_install.cmake weakref_test 2024-08-20T22:50:17.5666892Z cpu_allocator_test wrapdim_test 2024-08-20T22:50:17.5667321Z cpu_generator_test xla_tensor_test 2024-08-20T22:50:17.5667757Z cpu_profiling_allocator_test 2024-08-20T22:50:17.5668136Z + aten/tools/run_tests.sh build/bin 2024-08-20T22:50:17.5673307Z + set -e 2024-08-20T22:50:17.5675903Z ++ dirname aten/tools/run_tests.sh 2024-08-20T22:50:17.5698796Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2024-08-20T22:50:17.5699674Z + export CPP_TESTS_DIR=build/bin 2024-08-20T22:50:17.5700051Z + CPP_TESTS_DIR=build/bin 2024-08-20T22:50:17.5700437Z + VALGRIND=ON 2024-08-20T22:50:17.5703352Z + python test/run_test.py --cpp --verbose -i cpp/basic cpp/atest cpp/scalar_test cpp/broadcast_test cpp/wrapdim_test cpp/apply_utils_test cpp/dlconvertor_test cpp/native_test cpp/scalar_tensor_test cpp/undefined_tensor_test cpp/extension_backend_test cpp/lazy_tensor_test cpp/tensor_iterator_test cpp/Dimname_test cpp/Dict_test cpp/NamedTensor_test cpp/cpu_generator_test cpp/legacy_vmap_test cpp/operators_test 2024-08-20T22:50:17.6713783Z /var/lib/jenkins/workspace/test/run_test.py:21: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-08-20T22:50:17.6715054Z import pkg_resources 2024-08-20T22:50:19.5622264Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:50:20.5081802Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2024-08-20T22:50:20.5224559Z Found test times from artifacts 2024-08-20T22:50:20.5731647Z Found test times from artifacts 2024-08-20T22:50:20.5746904Z Running 25% of tests based on TD 2024-08-20T22:50:20.5751694Z Running parallel tests on 3 processes 2024-08-20T22:50:20.5752607Z Name: tests to run (est. time: 0.0min) 2024-08-20T22:50:20.5753240Z Serial tests (0): 2024-08-20T22:50:20.5753602Z Parallel tests (5): 2024-08-20T22:50:20.5753985Z cpp/Dict_test 1/1 2024-08-20T22:50:20.5754300Z cpp/Dimname_test 1/1 2024-08-20T22:50:20.5754644Z cpp/NamedTensor_test 1/1 2024-08-20T22:50:20.5754991Z cpp/apply_utils_test 1/1 2024-08-20T22:50:20.5755335Z cpp/atest 1/1 2024-08-20T22:50:20.5755664Z Name: excluded (est. time: 0.0min) 2024-08-20T22:50:20.5756076Z Serial tests (0): 2024-08-20T22:50:20.5756383Z Parallel tests (14): 2024-08-20T22:50:20.5756695Z cpp/basic 1/1 2024-08-20T22:50:20.5756982Z cpp/broadcast_test 1/1 2024-08-20T22:50:20.5757333Z cpp/cpu_generator_test 1/1 2024-08-20T22:50:20.5757805Z cpp/dlconvertor_test 1/1 2024-08-20T22:50:20.5758225Z cpp/extension_backend_test 1/1 2024-08-20T22:50:20.5758612Z cpp/lazy_tensor_test 1/1 2024-08-20T22:50:20.5758962Z cpp/legacy_vmap_test 1/1 2024-08-20T22:50:20.5759298Z cpp/native_test 1/1 2024-08-20T22:50:20.5759632Z cpp/operators_test 1/1 2024-08-20T22:50:20.5759979Z cpp/scalar_tensor_test 1/1 2024-08-20T22:50:20.5760324Z cpp/scalar_test 1/1 2024-08-20T22:50:20.5760664Z cpp/tensor_iterator_test 1/1 2024-08-20T22:50:20.5761050Z cpp/undefined_tensor_test 1/1 2024-08-20T22:50:20.5761422Z cpp/wrapdim_test 1/1 2024-08-20T22:50:20.5810218Z Running cpp/Dict_test 1/1 ... [2024-08-20 22:50:20.580694] 2024-08-20T22:50:20.5811197Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:50:20.5825387Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-48e91cc6c300dede.xml', '-x', '--reruns=2'] ... [2024-08-20 22:50:20.581983] 2024-08-20T22:50:22.7814989Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:50:22.9070669Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:50:23.0373869Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:50:23.3021855Z 2024-08-20T22:50:23.3023452Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_3ebe8e1b72777ec0_.log 2024-08-20T22:50:23.3024432Z 2024-08-20T22:50:23.3024774Z Running cpp/Dimname_test 1/1 ... [2024-08-20 22:50:23.302166] 2024-08-20T22:50:23.3025340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:50:23.3028672Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-0535e8afecb205ba.xml', '-x', '--reruns=2'] ... [2024-08-20 22:50:23.302533] 2024-08-20T22:50:24.8193916Z 2024-08-20T22:50:24.8195711Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_99bb7e79502b3570_.log 2024-08-20T22:50:24.8196745Z 2024-08-20T22:50:24.8197119Z Running cpp/NamedTensor_test 1/1 ... [2024-08-20 22:50:24.819230] 2024-08-20T22:50:24.8197747Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:50:24.8199636Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-4ebedf998cbf1b76.xml', '-x', '--reruns=2'] ... [2024-08-20 22:50:24.819580] 2024-08-20T22:50:26.3865918Z 2024-08-20T22:50:26.3867563Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_5bf1675c8e848b90_.log 2024-08-20T22:50:26.3868741Z 2024-08-20T22:50:26.3869167Z Running cpp/apply_utils_test 1/1 ... [2024-08-20 22:50:26.386426] 2024-08-20T22:50:26.3869795Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:50:26.3872091Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-7faae2042b13849d.xml', '-x', '--reruns=2'] ... [2024-08-20 22:50:26.386801] 2024-08-20T22:50:27.9536706Z 2024-08-20T22:50:27.9538498Z cpp/apply_utils_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.apply_utils_test_1.1_53c59236e7a94572_.log 2024-08-20T22:50:27.9539567Z 2024-08-20T22:50:27.9539916Z Running cpp/atest 1/1 ... [2024-08-20 22:50:27.953507] 2024-08-20T22:50:27.9540445Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:50:27.9542718Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-107d0d31d9fd70df.xml', '-x', '--reruns=2'] ... [2024-08-20 22:50:27.953855] 2024-08-20T22:50:29.4705520Z 2024-08-20T22:50:29.4706904Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_b3275bf573880bc4_.log 2024-08-20T22:50:29.4708139Z 2024-08-20T22:50:29.4713321Z Running cpp/Dict_test 1/1 ... [2024-08-20 22:50:29.471011] 2024-08-20T22:50:29.4714250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:50:29.4715209Z Running cpp/Dimname_test 1/1 ... [2024-08-20 22:50:29.471194] 2024-08-20T22:50:29.4716057Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:50:29.4716783Z Running cpp/NamedTensor_test 1/1 ... [2024-08-20 22:50:29.471236] 2024-08-20T22:50:29.4717478Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:50:29.4719775Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-73fd658bae626b8a.xml', '-x', '--reruns=2'] ... [2024-08-20 22:50:29.471602] 2024-08-20T22:50:29.4723641Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-baf332db21336dff.xml', '-x', '--reruns=2'] ... [2024-08-20 22:50:29.471827] 2024-08-20T22:50:29.4728123Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-9cbc2ecf0576e35b.xml', '-x', '--reruns=2'] ... [2024-08-20 22:50:29.471854] 2024-08-20T22:50:33.4440521Z 2024-08-20T22:50:33.4442938Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_7b82198ade774828_.log 2024-08-20T22:50:33.4449433Z 2024-08-20T22:50:33.9951479Z 2024-08-20T22:50:33.9953767Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_8066990ff933ff99_.log 2024-08-20T22:50:33.9956236Z 2024-08-20T22:50:36.8827331Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:50:36.9877517Z Running cpp/apply_utils_test 1/1 ... [2024-08-20 22:50:36.987264] 2024-08-20T22:50:36.9878622Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:50:36.9884469Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c35732222bedd14b.xml', '-x', '--reruns=2'] ... [2024-08-20 22:50:36.987862] 2024-08-20T22:50:37.2895754Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:50:37.3479124Z Running cpp/atest 1/1 ... [2024-08-20 22:50:37.347461] 2024-08-20T22:50:37.3480117Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:50:37.3485068Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c92f2fdfda51c152.xml', '-x', '--reruns=2'] ... [2024-08-20 22:50:37.347985] 2024-08-20T22:50:40.1118385Z 2024-08-20T22:50:40.1120256Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_624b2a6449d1b661_.log 2024-08-20T22:50:40.1123990Z 2024-08-20T22:50:40.9158398Z 2024-08-20T22:50:40.9160700Z cpp/apply_utils_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.apply_utils_test_1.1_a998194b6db3ee6a_.log 2024-08-20T22:50:40.9162602Z 2024-08-20T22:50:42.8547848Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:50:42.9236751Z 2024-08-20T22:50:42.9238309Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_ccb2bdb73f2093b2_.log 2024-08-20T22:50:42.9239212Z 2024-08-20T22:50:43.5369625Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:50:43.9885524Z Running test batch 'tests to run' cost 23.41 seconds 2024-08-20T22:50:44.3920726Z + run_if_exists tensor_interop_test 2024-08-20T22:50:44.3921505Z + local test_name=tensor_interop_test 2024-08-20T22:50:44.3922831Z + [[ -x build/bin/tensor_interop_test ]] 2024-08-20T22:50:44.3923889Z + echo 'Warning: tensor_interop_test does not exist.' 2024-08-20T22:50:44.3924821Z Warning: tensor_interop_test does not exist. 2024-08-20T22:50:44.3925587Z + run_if_exists cudnn_test 2024-08-20T22:50:44.3926275Z + local test_name=cudnn_test 2024-08-20T22:50:44.3926955Z + [[ -x build/bin/cudnn_test ]] 2024-08-20T22:50:44.3927744Z + echo 'Warning: cudnn_test does not exist.' 2024-08-20T22:50:44.3928409Z Warning: cudnn_test does not exist. 2024-08-20T22:50:44.3928810Z + run_if_exists cuda_generator_test 2024-08-20T22:50:44.3929258Z + local test_name=cuda_generator_test 2024-08-20T22:50:44.3929966Z + [[ -x build/bin/cuda_generator_test ]] 2024-08-20T22:50:44.3930885Z + echo 'Warning: cuda_generator_test does not exist.' 2024-08-20T22:50:44.3931722Z Warning: cuda_generator_test does not exist. 2024-08-20T22:50:44.3932240Z + run_if_exists apply_test 2024-08-20T22:50:44.3932874Z + local test_name=apply_test 2024-08-20T22:50:44.3933340Z + [[ -x build/bin/apply_test ]] 2024-08-20T22:50:44.3933801Z + echo 'Warning: apply_test does not exist.' 2024-08-20T22:50:44.3934240Z Warning: apply_test does not exist. 2024-08-20T22:50:44.3934637Z + run_if_exists stream_test 2024-08-20T22:50:44.3934990Z + local test_name=stream_test 2024-08-20T22:50:44.3935382Z + [[ -x build/bin/stream_test ]] 2024-08-20T22:50:44.3935857Z + echo 'Warning: stream_test does not exist.' 2024-08-20T22:50:44.3936315Z Warning: stream_test does not exist. 2024-08-20T22:50:44.3936704Z + run_if_exists cuda_half_test 2024-08-20T22:50:44.3937072Z + local test_name=cuda_half_test 2024-08-20T22:50:44.3937498Z + [[ -x build/bin/cuda_half_test ]] 2024-08-20T22:50:44.3937980Z + echo 'Warning: cuda_half_test does not exist.' 2024-08-20T22:50:44.3938455Z Warning: cuda_half_test does not exist. 2024-08-20T22:50:44.3938881Z + run_if_exists cuda_vectorized_test 2024-08-20T22:50:44.3939286Z + local test_name=cuda_vectorized_test 2024-08-20T22:50:44.3939761Z + [[ -x build/bin/cuda_vectorized_test ]] 2024-08-20T22:50:44.3940319Z + echo 'Warning: cuda_vectorized_test does not exist.' 2024-08-20T22:50:44.3940837Z Warning: cuda_vectorized_test does not exist. 2024-08-20T22:50:44.3941395Z + run_if_exists cuda_distributions_test 2024-08-20T22:50:44.3941838Z + local test_name=cuda_distributions_test 2024-08-20T22:50:44.3942353Z + [[ -x build/bin/cuda_distributions_test ]] 2024-08-20T22:50:44.3942938Z + echo 'Warning: cuda_distributions_test does not exist.' 2024-08-20T22:50:44.3943503Z Warning: cuda_distributions_test does not exist. 2024-08-20T22:50:44.3943973Z + run_if_exists cuda_optional_test 2024-08-20T22:50:44.3944360Z + local test_name=cuda_optional_test 2024-08-20T22:50:44.3944958Z + [[ -x build/bin/cuda_optional_test ]] 2024-08-20T22:50:44.3945510Z + echo 'Warning: cuda_optional_test does not exist.' 2024-08-20T22:50:44.3946011Z Warning: cuda_optional_test does not exist. 2024-08-20T22:50:44.3946471Z + run_if_exists cuda_tensor_interop_test 2024-08-20T22:50:44.3946920Z + local test_name=cuda_tensor_interop_test 2024-08-20T22:50:44.3947427Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2024-08-20T22:50:44.3948021Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2024-08-20T22:50:44.3948585Z Warning: cuda_tensor_interop_test does not exist. 2024-08-20T22:50:44.3949044Z + run_if_exists cuda_complex_test 2024-08-20T22:50:44.3949437Z + local test_name=cuda_complex_test 2024-08-20T22:50:44.3949959Z + [[ -x build/bin/cuda_complex_test ]] 2024-08-20T22:50:44.3950542Z + echo 'Warning: cuda_complex_test does not exist.' 2024-08-20T22:50:44.3951049Z Warning: cuda_complex_test does not exist. 2024-08-20T22:50:44.3951500Z + run_if_exists cuda_complex_math_test 2024-08-20T22:50:44.3951926Z + local test_name=cuda_complex_math_test 2024-08-20T22:50:44.3952417Z + [[ -x build/bin/cuda_complex_math_test ]] 2024-08-20T22:50:44.3952995Z + echo 'Warning: cuda_complex_math_test does not exist.' 2024-08-20T22:50:44.3953528Z Warning: cuda_complex_math_test does not exist. 2024-08-20T22:50:44.3953978Z + run_if_exists cuda_cub_test 2024-08-20T22:50:44.3954423Z + local test_name=cuda_cub_test 2024-08-20T22:50:44.3954840Z + [[ -x build/bin/cuda_cub_test ]] 2024-08-20T22:50:44.3955323Z + echo 'Warning: cuda_cub_test does not exist.' 2024-08-20T22:50:44.3955791Z Warning: cuda_cub_test does not exist. 2024-08-20T22:50:44.3956197Z + run_if_exists cuda_atomic_ops_test 2024-08-20T22:50:44.3956613Z + local test_name=cuda_atomic_ops_test 2024-08-20T22:50:44.3957088Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2024-08-20T22:50:44.3957629Z + echo 'Warning: cuda_atomic_ops_test does not exist.' 2024-08-20T22:50:44.3958160Z Warning: cuda_atomic_ops_test does not exist. 2024-08-20T22:50:44.3958621Z + '[' ON == ON ']' 2024-08-20T22:50:44.3959645Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA' 2024-08-20T22:50:44.4261809Z ==48974== Memcheck, a memory error detector 2024-08-20T22:50:44.4262861Z ==48974== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al. 2024-08-20T22:50:44.4263726Z ==48974== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info 2024-08-20T22:50:44.4264469Z ==48974== Command: build/bin/basic --gtest_filter=-*CUDA 2024-08-20T22:50:44.4264930Z ==48974== 2024-08-20T22:51:12.9024568Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2024-08-20T22:51:12.9242687Z Note: Google Test filter = -*CUDA 2024-08-20T22:51:12.9292511Z [==========] Running 4 tests from 1 test suite. 2024-08-20T22:51:12.9318489Z [----------] Global test environment set-up. 2024-08-20T22:51:12.9357512Z [----------] 4 tests from BasicTest 2024-08-20T22:51:12.9378510Z [ RUN ] BasicTest.BasicTestCPU 2024-08-20T22:51:14.3608975Z 383 ms 2024-08-20T22:51:14.4478752Z 52 ms 2024-08-20T22:51:14.5206980Z 64 ms 2024-08-20T22:51:15.1245793Z [ OK ] BasicTest.BasicTestCPU (2184 ms) 2024-08-20T22:51:15.1251887Z [ RUN ] BasicTest.BasicTestHalfCPU 2024-08-20T22:51:15.2636845Z 92 ms 2024-08-20T22:51:15.3128189Z 44 ms 2024-08-20T22:51:15.3785442Z 63 ms 2024-08-20T22:51:15.4324640Z [ OK ] BasicTest.BasicTestHalfCPU (306 ms) 2024-08-20T22:51:15.4327140Z [ RUN ] BasicTest.FactoryMethodsTest 2024-08-20T22:51:15.4727450Z [ OK ] BasicTest.FactoryMethodsTest (40 ms) 2024-08-20T22:51:15.4727991Z [ RUN ] BasicTest.BasicStdTestCPU 2024-08-20T22:51:15.5973715Z Simple example: called once 2024-08-20T22:51:15.6475299Z throw: call_once will retry 2024-08-20T22:51:15.6895825Z throw: call_once will retry 2024-08-20T22:51:15.6900537Z Didn't throw, call_once will not attempt again 2024-08-20T22:51:15.6921372Z [ OK ] BasicTest.BasicStdTestCPU (219 ms) 2024-08-20T22:51:15.6944343Z [----------] 4 tests from BasicTest (2755 ms total) 2024-08-20T22:51:15.6944689Z 2024-08-20T22:51:15.6955509Z [----------] Global test environment tear-down 2024-08-20T22:51:15.6987621Z [==========] 4 tests from 1 test suite ran. (2776 ms total) 2024-08-20T22:51:15.6998330Z [ PASSED ] 4 tests. 2024-08-20T22:51:17.4698054Z ==48974== 2024-08-20T22:51:17.4701736Z ==48974== HEAP SUMMARY: 2024-08-20T22:51:17.4702267Z ==48974== in use at exit: 239,952 bytes in 3,997 blocks 2024-08-20T22:51:17.4704683Z ==48974== total heap usage: 734,532 allocs, 730,535 frees, 213,503,022 bytes allocated 2024-08-20T22:51:17.4705312Z ==48974== 2024-08-20T22:51:17.5073732Z ==48974== LEAK SUMMARY: 2024-08-20T22:51:17.5074765Z ==48974== definitely lost: 0 bytes in 0 blocks 2024-08-20T22:51:17.5075355Z ==48974== indirectly lost: 0 bytes in 0 blocks 2024-08-20T22:51:17.5075965Z ==48974== possibly lost: 0 bytes in 0 blocks 2024-08-20T22:51:17.5076795Z ==48974== still reachable: 239,952 bytes in 3,997 blocks 2024-08-20T22:51:17.5077330Z ==48974== suppressed: 0 bytes in 0 blocks 2024-08-20T22:51:17.5078190Z ==48974== Rerun with --leak-check=full to see details of leaked memory 2024-08-20T22:51:17.5078732Z ==48974== 2024-08-20T22:51:17.5079240Z ==48974== For lists of detected and suppressed errors, rerun with: -s 2024-08-20T22:51:17.5080045Z ==48974== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0) 2024-08-20T22:51:17.5508591Z + [[ -x build/bin/tensor_interop_test ]] 2024-08-20T22:51:17.5511011Z + [[ -n '' ]] 2024-08-20T22:51:17.5511495Z + assert_git_not_dirty 2024-08-20T22:51:17.5512488Z + [[ linux-focal-py3.12-clang10-experimental-split-build != *rocm* ]] 2024-08-20T22:51:17.5513381Z + [[ linux-focal-py3.12-clang10-experimental-split-build != *xla* ]] 2024-08-20T22:51:17.5517972Z ++ git status --porcelain 2024-08-20T22:51:17.5518970Z ++ grep -v '?? third_party' 2024-08-20T22:51:17.7302642Z ++ true 2024-08-20T22:51:17.7304113Z + git_status= 2024-08-20T22:51:17.7304830Z + [[ -n '' ]] 2024-08-20T22:51:17.7305297Z + test_libtorch 1 2024-08-20T22:51:17.7305604Z + local SHARD=1 2024-08-20T22:51:17.7306055Z + [[ default != \s\l\o\w ]] 2024-08-20T22:51:17.7306771Z + echo 'Testing libtorch' 2024-08-20T22:51:17.7307287Z Testing libtorch 2024-08-20T22:51:17.7308519Z + ln -sf /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-08-20T22:51:17.7317030Z + ln -sf /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libjitbackend_test.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-08-20T22:51:17.7327537Z + ln -sf /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libcaffe2_nvrtc.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-08-20T22:51:17.7336778Z + ln -sf /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-08-20T22:51:17.7345880Z + ln -sf /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libshm.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-08-20T22:51:17.7357191Z + ln -sf /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-08-20T22:51:17.7364317Z + ln -sf '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libnvfuser*' /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-08-20T22:51:17.7374149Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-08-20T22:51:17.7375330Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-08-20T22:51:17.7375975Z + [[ -z 1 ]] 2024-08-20T22:51:17.7376226Z + [[ 1 == \1 ]] 2024-08-20T22:51:17.7376510Z + test_libtorch_api 2024-08-20T22:51:17.7376923Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist 2024-08-20T22:51:17.7377776Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist 2024-08-20T22:51:17.7857495Z Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz ... 2024-08-20T22:51:17.8704685Z Failed to download (trying next): 2024-08-20T22:51:17.8705145Z HTTP Error 403: Forbidden 2024-08-20T22:51:17.8706051Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ... 2024-08-20T22:51:18.2038606Z Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz ... 2024-08-20T22:51:18.2755290Z Failed to download (trying next): 2024-08-20T22:51:18.2755753Z HTTP Error 403: Forbidden 2024-08-20T22:51:18.2756686Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ... 2024-08-20T22:51:18.3076918Z Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz ... 2024-08-20T22:51:18.3794078Z Failed to download (trying next): 2024-08-20T22:51:18.3794661Z HTTP Error 403: Forbidden 2024-08-20T22:51:18.3795453Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ... 2024-08-20T22:51:18.4505169Z Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz ... 2024-08-20T22:51:18.5235954Z Failed to download (trying next): 2024-08-20T22:51:18.5236679Z HTTP Error 403: Forbidden 2024-08-20T22:51:18.5237558Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ... 2024-08-20T22:51:18.5525050Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *asan* ]] 2024-08-20T22:51:18.5526224Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *slow-gradcheck* ]] 2024-08-20T22:51:18.5526895Z + OMP_NUM_THREADS=2 2024-08-20T22:51:18.5527399Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist 2024-08-20T22:51:18.5528269Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest' 2024-08-20T22:51:18.6545253Z /var/lib/jenkins/workspace/test/run_test.py:21: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-08-20T22:51:18.6546439Z import pkg_resources 2024-08-20T22:51:20.4922020Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:51:21.4151431Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2024-08-20T22:51:21.4259291Z Found test times from artifacts 2024-08-20T22:51:21.4683897Z Found test times from artifacts 2024-08-20T22:51:21.4699234Z Running 25% of tests based on TD 2024-08-20T22:51:21.4702615Z Running parallel tests on 3 processes 2024-08-20T22:51:21.4703654Z Name: tests to run (est. time: 0.0min) 2024-08-20T22:51:21.4704175Z Serial tests (0): 2024-08-20T22:51:21.4704495Z Parallel tests (1): 2024-08-20T22:51:21.4704865Z cpp/test_api 1/1 2024-08-20T22:51:21.4705194Z Name: excluded (est. time: 0.0min) 2024-08-20T22:51:21.4705619Z Serial tests (0): 2024-08-20T22:51:21.4705933Z Parallel tests (0): 2024-08-20T22:51:21.4762139Z Running cpp/test_api 1/1 ... [2024-08-20 22:51:21.475808] 2024-08-20T22:51:21.4766554Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:51:21.4770492Z Executing ['pytest', '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin/test_api', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-8d2485b1df443a7b.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2024-08-20 22:51:21.476416] 2024-08-20T22:51:23.5187051Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:51:23.6894753Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:51:23.6947183Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:51:24.2463416Z 2024-08-20T22:51:24.2465444Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_92ab6936f54296cd_.log 2024-08-20T22:51:24.2466446Z 2024-08-20T22:51:24.2470111Z Running cpp/test_api 1/1 ... [2024-08-20 22:51:24.246813] 2024-08-20T22:51:24.2470634Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:51:24.2476901Z Executing ['pytest', '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin/test_api', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1be2ce791c80f843.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2024-08-20 22:51:24.247296] 2024-08-20T22:53:48.5720590Z 2024-08-20T22:53:48.5723563Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_e0741c1033586675_.log 2024-08-20T22:53:48.5733458Z 2024-08-20T22:53:49.0538671Z Running test batch 'tests to run' cost 147.58 seconds 2024-08-20T22:53:49.4294892Z + python test/run_test.py --cpp --verbose -i cpp/test_tensorexpr 2024-08-20T22:53:49.5298315Z /var/lib/jenkins/workspace/test/run_test.py:21: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-08-20T22:53:49.5299907Z import pkg_resources 2024-08-20T22:53:51.4123649Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:53:52.3421635Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2024-08-20T22:53:52.3529650Z Found test times from artifacts 2024-08-20T22:53:52.3955200Z Found test times from artifacts 2024-08-20T22:53:52.3970237Z Running 25% of tests based on TD 2024-08-20T22:53:52.3973725Z Running parallel tests on 3 processes 2024-08-20T22:53:52.3974346Z Name: tests to run (est. time: 0.0min) 2024-08-20T22:53:52.3974996Z Serial tests (0): 2024-08-20T22:53:52.3975371Z Parallel tests (1): 2024-08-20T22:53:52.3976726Z cpp/test_tensorexpr 1/1 2024-08-20T22:53:52.3977413Z Name: excluded (est. time: 0.0min) 2024-08-20T22:53:52.3977779Z Serial tests (0): 2024-08-20T22:53:52.3978078Z Parallel tests (0): 2024-08-20T22:53:52.4027066Z Running cpp/test_tensorexpr 1/1 ... [2024-08-20 22:53:52.402364] 2024-08-20T22:53:52.4028081Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:53:52.4035297Z Executing ['pytest', '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin/test_tensorexpr', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-8e8ab892a11a2a23.xml', '-x', '--reruns=2'] ... [2024-08-20 22:53:52.402977] 2024-08-20T22:53:54.6871554Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:53:54.7222453Z 2024-08-20T22:53:54.7224712Z cpp/test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_tensorexpr_1.1_c0905992e270191e_.log 2024-08-20T22:53:54.7226721Z 2024-08-20T22:53:54.7426170Z Running cpp/test_tensorexpr 1/1 ... [2024-08-20 22:53:54.742231] 2024-08-20T22:53:54.7427125Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:53:54.7432067Z Executing ['pytest', '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin/test_tensorexpr', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-2daacd824062b9b7.xml', '-x', '--reruns=2'] ... [2024-08-20 22:53:54.742739] 2024-08-20T22:53:54.9680022Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:53:54.9884671Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:55:48.2507605Z 2024-08-20T22:55:48.2509825Z cpp/test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_tensorexpr_1.1_3e76a60f1fe3ab53_.log 2024-08-20T22:55:48.2519866Z 2024-08-20T22:55:48.7261484Z Running test batch 'tests to run' cost 116.33 seconds 2024-08-20T22:55:49.1245720Z + [[ linux-focal-py3.12-clang10-experimental-split-build != *android* ]] 2024-08-20T22:55:49.1247062Z + [[ linux-focal-py3.12-clang10-experimental-split-build != *cuda* ]] 2024-08-20T22:55:49.1248507Z + [[ linux-focal-py3.12-clang10-experimental-split-build != *asan* ]] 2024-08-20T22:55:49.1249257Z + export CPP_TESTS_DIR=build/bin 2024-08-20T22:55:49.1249698Z + CPP_TESTS_DIR=build/bin 2024-08-20T22:55:49.1250325Z + python test/run_test.py --cpp --verbose -i cpp/static_runtime_test 2024-08-20T22:55:49.2254123Z /var/lib/jenkins/workspace/test/run_test.py:21: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-08-20T22:55:49.2255303Z import pkg_resources 2024-08-20T22:55:51.1182493Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:55:52.0572311Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2024-08-20T22:55:52.0680274Z Found test times from artifacts 2024-08-20T22:55:52.1104132Z Found test times from artifacts 2024-08-20T22:55:52.1119378Z Running 25% of tests based on TD 2024-08-20T22:55:52.1122626Z Running parallel tests on 3 processes 2024-08-20T22:55:52.1123460Z Name: tests to run (est. time: 0.0min) 2024-08-20T22:55:52.1123856Z Serial tests (0): 2024-08-20T22:55:52.1124147Z Parallel tests (1): 2024-08-20T22:55:52.1124470Z cpp/static_runtime_test 1/1 2024-08-20T22:55:52.1124854Z Name: excluded (est. time: 0.0min) 2024-08-20T22:55:52.1125216Z Serial tests (0): 2024-08-20T22:55:52.1125512Z Parallel tests (0): 2024-08-20T22:55:52.1176817Z Running cpp/static_runtime_test 1/1 ... [2024-08-20 22:55:52.117294] 2024-08-20T22:55:52.1177866Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:55:52.1184754Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/static_runtime_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c62834a4beb053ce.xml', '-x', '--reruns=2'] ... [2024-08-20 22:55:52.117907] 2024-08-20T22:55:54.1366615Z 2024-08-20T22:55:54.1369555Z cpp/static_runtime_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.static_runtime_test_1.1_9c52716fa1b7f31f_.log 2024-08-20T22:55:54.1371425Z 2024-08-20T22:55:54.3085595Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:55:54.3668514Z Running cpp/static_runtime_test 1/1 ... [2024-08-20 22:55:54.366376] 2024-08-20T22:55:54.3669649Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2024-08-20T22:55:54.3673193Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/static_runtime_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-f64581bf90a39a04.xml', '-x', '--reruns=2'] ... [2024-08-20 22:55:54.366858] 2024-08-20T22:55:54.6292391Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T22:55:54.6487658Z Unable to import boto3. Will not be emitting metrics.... Reason: No module named 'botocore.vendored.six.moves' 2024-08-20T23:08:08.8966168Z 2024-08-20T23:08:08.8968524Z cpp/static_runtime_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.static_runtime_test_1.1_a492dd74704e2da7_.log 2024-08-20T23:08:08.8973548Z 2024-08-20T23:08:09.3743321Z Running test batch 'tests to run' cost 737.26 seconds 2024-08-20T23:08:09.7349356Z + [[ -z 1 ]] 2024-08-20T23:08:09.7349717Z + [[ 1 == \2 ]] 2024-08-20T23:08:09.7351586Z + assert_git_not_dirty 2024-08-20T23:08:09.7352704Z + [[ linux-focal-py3.12-clang10-experimental-split-build != *rocm* ]] 2024-08-20T23:08:09.7354017Z + [[ linux-focal-py3.12-clang10-experimental-split-build != *xla* ]] 2024-08-20T23:08:09.7355541Z ++ git status --porcelain 2024-08-20T23:08:09.7356236Z ++ grep -v '?? third_party' 2024-08-20T23:08:09.9143019Z ++ true 2024-08-20T23:08:09.9144163Z + git_status= 2024-08-20T23:08:09.9144846Z + [[ -n '' ]] 2024-08-20T23:08:09.9145828Z + [[ linux-focal-py3.12-clang10-experimental-split-build == *xpu* ]] 2024-08-20T23:08:09.9147476Z + cleanup_workspace 2024-08-20T23:08:09.9149073Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2024-08-20T23:08:09.9150249Z sudo may print the following warning message that can be ignored. The chown command will still run. 2024-08-20T23:08:09.9151210Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2024-08-20T23:08:09.9151856Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2024-08-20T23:08:09.9152674Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2024-08-20T23:08:09.9153569Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2024-08-20T23:08:09.9154390Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2024-08-20T23:08:12.6131182Z ##[group]Run cat test/**/*_toprint.log || true 2024-08-20T23:08:12.6131679Z cat test/**/*_toprint.log || true 2024-08-20T23:08:12.6313598Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T23:08:12.6314107Z env: 2024-08-20T23:08:12.6314356Z GIT_DEFAULT_BRANCH: main 2024-08-20T23:08:12.6314982Z DOCKER_CONTAINER_ID: 46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d 2024-08-20T23:08:12.6315647Z ##[endgroup] 2024-08-20T23:08:12.6400047Z cat: 'test/**/*_toprint.log': No such file or directory 2024-08-20T23:08:12.6434897Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2024-08-20T23:08:12.6435352Z kill "$MONITOR_SCRIPT_PID" 2024-08-20T23:08:12.6441121Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T23:08:12.6441601Z env: 2024-08-20T23:08:12.6441868Z GIT_DEFAULT_BRANCH: main 2024-08-20T23:08:12.6442493Z DOCKER_CONTAINER_ID: 46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d 2024-08-20T23:08:12.6443163Z MONITOR_SCRIPT_PID: 1936406 2024-08-20T23:08:12.6443509Z ##[endgroup] 2024-08-20T23:08:12.6668539Z Prepare all required actions 2024-08-20T23:08:12.6669018Z Getting action download info 2024-08-20T23:08:12.8622604Z Download action repository 'actions/upload-artifact@v3' (SHA:a8a3f3ad30e3422c9c7b888a15615d19a852ae32) 2024-08-20T23:08:13.0374164Z ##[group]Run ./.github/actions/upload-test-artifacts 2024-08-20T23:08:13.0374620Z with: 2024-08-20T23:08:13.0375039Z file-suffix: test-default-1-3-amz2023.linux.2xlarge_29025337481 2024-08-20T23:08:13.0375602Z s3-bucket: gha-artifacts 2024-08-20T23:08:13.0375906Z env: 2024-08-20T23:08:13.0376159Z GIT_DEFAULT_BRANCH: main 2024-08-20T23:08:13.0376766Z DOCKER_CONTAINER_ID: 46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d 2024-08-20T23:08:13.0377411Z ##[endgroup] 2024-08-20T23:08:13.0410334Z ##[group]Run # Remove any previous test jsons if they exist 2024-08-20T23:08:13.0410963Z # Remove any previous test jsons if they exist 2024-08-20T23:08:13.0411453Z rm -f test-jsons-*.zip 2024-08-20T23:08:13.0412004Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test -i '*.json' 2024-08-20T23:08:13.0418353Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T23:08:13.0419097Z env: 2024-08-20T23:08:13.0419374Z GIT_DEFAULT_BRANCH: main 2024-08-20T23:08:13.0419968Z DOCKER_CONTAINER_ID: 46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d 2024-08-20T23:08:13.0420903Z FILE_SUFFIX: test-default-1-3-amz2023.linux.2xlarge_29025337481 2024-08-20T23:08:13.0421440Z ##[endgroup] 2024-08-20T23:08:13.0742064Z adding: test/allowlist_for_publicAPI.json (deflated 79%) 2024-08-20T23:08:13.0769595Z adding: test/benchmark_utils/callgrind_artifacts.json (deflated 92%) 2024-08-20T23:08:13.0770528Z adding: test/minioptest_failures_dict.json (deflated 70%) 2024-08-20T23:08:13.0776006Z adding: test/profiler/profiler_utils_mock_events.json (deflated 87%) 2024-08-20T23:08:13.0781313Z adding: test/slow_tests.json (deflated 82%) 2024-08-20T23:08:13.0790158Z adding: test/test-reports/td_exclusions-3655e5a026c2b48670f2.json (deflated 82%) 2024-08-20T23:08:13.0791462Z adding: test/test-reports/td_exclusions-72c6331fe11d8dd72ca4.json (deflated 73%) 2024-08-20T23:08:13.0792428Z adding: test/test-reports/td_exclusions-181d2e6fbeaa879b8e87.json (deflated 16%) 2024-08-20T23:08:13.0793571Z adding: test/test-reports/td_exclusions-83d785eb22c46ba4b7a5.json (deflated 18%) 2024-08-20T23:08:13.0794548Z adding: test/test-reports/td_exclusions-0cc04616d8ac92f7b077.json (deflated 14%) 2024-08-20T23:08:13.0802098Z adding: test/.pytorch-disabled-tests.json (deflated 88%) 2024-08-20T23:08:13.0832761Z ##[group]Run # Remove any previous test reports if they exist 2024-08-20T23:08:13.0833677Z # Remove any previous test reports if they exist 2024-08-20T23:08:13.0834206Z rm -f test-reports-*.zip 2024-08-20T23:08:13.0834881Z zip -r "test-reports-${FILE_SUFFIX}.zip" test -i '*.xml' -i '*.csv' 2024-08-20T23:08:13.0840743Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T23:08:13.0841284Z env: 2024-08-20T23:08:13.0841548Z GIT_DEFAULT_BRANCH: main 2024-08-20T23:08:13.0842149Z DOCKER_CONTAINER_ID: 46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d 2024-08-20T23:08:13.0842999Z FILE_SUFFIX: test-default-1-3-amz2023.linux.2xlarge_29025337481 2024-08-20T23:08:13.0843542Z ##[endgroup] 2024-08-20T23:08:13.1066089Z adding: test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-da7fe573d3fd5f40.xml (deflated 86%) 2024-08-20T23:08:13.1190178Z adding: test/test-reports/python-pytest/test_utils/test_utils-a10e3c1dbfd586d3.xml (deflated 96%) 2024-08-20T23:08:13.1196404Z adding: test/test-reports/python-pytest/test_utils/test_utils-750ab287884de3a9.xml (deflated 38%) 2024-08-20T23:08:13.1216484Z adding: test/test-reports/python-pytest/test_utils/test_utils-497adb7c05a79e0a.xml (deflated 96%) 2024-08-20T23:08:13.1286654Z adding: test/test-reports/python-pytest/test_nn/test_nn-523ae85542710a5b.xml (deflated 97%) 2024-08-20T23:08:13.1290143Z adding: test/test-reports/python-pytest/inductor.test_torchinductor/inductor.test_torchinductor-2518f0110c6cf766.xml (deflated 28%) 2024-08-20T23:08:13.1295645Z adding: test/test-reports/python-pytest/inductor.test_torchinductor/inductor.test_torchinductor-615e0ad0d4a6d259.xml (deflated 92%) 2024-08-20T23:08:13.1300113Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-a9e6d7c28f7112e5.xml (deflated 28%) 2024-08-20T23:08:13.1303505Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-4d0ea34b32b5d4d7.xml (deflated 28%) 2024-08-20T23:08:13.1307525Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-4aaf678f2372c8f4.xml (deflated 28%) 2024-08-20T23:08:13.1316744Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-461a5a13476c79f9.xml (deflated 28%) 2024-08-20T23:08:13.1320317Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-e2fb0d64b5804540.xml (deflated 29%) 2024-08-20T23:08:13.1325076Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-15d18c2bcb54bf30.xml (deflated 28%) 2024-08-20T23:08:13.1330618Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-14b591df9f85d590.xml (deflated 28%) 2024-08-20T23:08:13.1334363Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-71323c2b55ce0362.xml (deflated 28%) 2024-08-20T23:08:13.1338488Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-d20f714900c496a5.xml (deflated 28%) 2024-08-20T23:08:13.1341598Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-7cde8bb237f48fda.xml (deflated 28%) 2024-08-20T23:08:13.1345334Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-25decfbaad3c8053.xml (deflated 28%) 2024-08-20T23:08:13.1349080Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-373cd5bf128cc754.xml (deflated 28%) 2024-08-20T23:08:13.1351331Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-80971449bc18ce3d.xml (deflated 89%) 2024-08-20T23:08:13.1353235Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-8fde4fcfd3375101.xml (deflated 91%) 2024-08-20T23:08:13.1355123Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-b8e3a199fd0223de.xml (deflated 90%) 2024-08-20T23:08:13.1357170Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-29ed5105b8909095.xml (deflated 90%) 2024-08-20T23:08:13.1359001Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-b649e54cbeb1f3d0.xml (deflated 89%) 2024-08-20T23:08:13.1360863Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-b77306e14ed03577.xml (deflated 91%) 2024-08-20T23:08:13.1362733Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-6ac27856c4a1ac10.xml (deflated 91%) 2024-08-20T23:08:13.1364651Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-66eee908f2527a4c.xml (deflated 90%) 2024-08-20T23:08:13.1366530Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-2b8a70bd1caa84e8.xml (deflated 91%) 2024-08-20T23:08:13.1368564Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-ce68ef467c528aff.xml (deflated 90%) 2024-08-20T23:08:13.1370471Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-c5315f109de18db5.xml (deflated 92%) 2024-08-20T23:08:13.1372356Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-da5b842038fd918e.xml (deflated 90%) 2024-08-20T23:08:13.1381236Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-7623451d0d1d0bf5.xml (deflated 28%) 2024-08-20T23:08:13.1383192Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-1a6826b9bd07a162.xml (deflated 43%) 2024-08-20T23:08:13.1388282Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-79e265e3292ba882.xml (deflated 93%) 2024-08-20T23:08:13.1396579Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-542b1392fd7b6074.xml (deflated 92%) 2024-08-20T23:08:13.1398256Z adding: test/test-reports/python-pytest/dynamo.test_modules/dynamo.test_modules-47b51f182bafb1c8.xml (deflated 28%) 2024-08-20T23:08:13.1401340Z adding: test/test-reports/python-pytest/dynamo.test_modules/dynamo.test_modules-d40db7eec180bc6a.xml (deflated 91%) 2024-08-20T23:08:13.1402755Z adding: test/test-reports/python-pytest/dynamo.test_export/dynamo.test_export-95cb82ca7314ca45.xml (deflated 28%) 2024-08-20T23:08:13.1409241Z adding: test/test-reports/python-pytest/dynamo.test_export/dynamo.test_export-d285aca8d9f895e6.xml (deflated 90%) 2024-08-20T23:08:13.1410816Z adding: test/test-reports/python-pytest/inductor.test_compiled_autograd/inductor.test_compiled_autograd-aa9694112bfcb210.xml (deflated 28%) 2024-08-20T23:08:13.1427663Z adding: test/test-reports/python-pytest/inductor.test_compiled_autograd/inductor.test_compiled_autograd-74c62b37e16ee216.xml (deflated 93%) 2024-08-20T23:08:13.1429270Z adding: test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-01997087b5580de2.xml (deflated 28%) 2024-08-20T23:08:13.1433224Z adding: test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-dc75c19ff59f20c1.xml (deflated 90%) 2024-08-20T23:08:13.1435033Z adding: test/test-reports/python-pytest/dynamo.test_optimizers/dynamo.test_optimizers-ee59113fa8975890.xml (deflated 28%) 2024-08-20T23:08:13.1437708Z adding: test/test-reports/python-pytest/dynamo.test_optimizers/dynamo.test_optimizers-dfca3426b2bda8e3.xml (deflated 70%) 2024-08-20T23:08:13.1440281Z adding: test/test-reports/python-pytest/dynamo.test_aot_autograd/dynamo.test_aot_autograd-ea3ada5972f0056c.xml (deflated 28%) 2024-08-20T23:08:13.1442314Z adding: test/test-reports/python-pytest/dynamo.test_aot_autograd/dynamo.test_aot_autograd-46301aaaf5aa08eb.xml (deflated 86%) 2024-08-20T23:08:13.1443793Z adding: test/test-reports/python-pytest/export.test_verifier/export.test_verifier-b1dd558c6e84f085.xml (deflated 28%) 2024-08-20T23:08:13.1445215Z adding: test/test-reports/python-pytest/export.test_verifier/export.test_verifier-00f2820c3cc2b6a3.xml (deflated 78%) 2024-08-20T23:08:13.1446648Z adding: test/test-reports/python-pytest/dynamo.test_backends/dynamo.test_backends-7713f83462849bdb.xml (deflated 28%) 2024-08-20T23:08:13.1448123Z adding: test/test-reports/python-pytest/dynamo.test_backends/dynamo.test_backends-992ab7720c1f5e26.xml (deflated 82%) 2024-08-20T23:08:13.1450049Z adding: test/test-reports/python-pytest/inductor.test_config/inductor.test_config-4e6015cfa86f1613.xml (deflated 28%) 2024-08-20T23:08:13.1451485Z adding: test/test-reports/python-pytest/inductor.test_config/inductor.test_config-cc94a8c3dcfdf67c.xml (deflated 84%) 2024-08-20T23:08:13.1453056Z adding: test/test-reports/python-pytest/dynamo.test_comptime/dynamo.test_comptime-bc300e0131b2388b.xml (deflated 28%) 2024-08-20T23:08:13.1455398Z adding: test/test-reports/python-pytest/dynamo.test_comptime/dynamo.test_comptime-efb366d415566af2.xml (deflated 81%) 2024-08-20T23:08:13.1457015Z adding: test/test-reports/python-pytest/inductor.test_standalone_compile/inductor.test_standalone_compile-b0b76d771280361a.xml (deflated 28%) 2024-08-20T23:08:13.1459775Z adding: test/test-reports/python-pytest/inductor.test_standalone_compile/inductor.test_standalone_compile-80134f19fba8d117.xml (deflated 82%) 2024-08-20T23:08:13.1462786Z adding: test/test-reports/python-pytest/dynamo.test_minifier/dynamo.test_minifier-95a7e22619e372e8.xml (deflated 28%) 2024-08-20T23:08:13.1464669Z adding: test/test-reports/python-pytest/dynamo.test_minifier/dynamo.test_minifier-12bdba843fa9c235.xml (deflated 94%) 2024-08-20T23:08:13.1466036Z adding: test/test-reports/python-pytest/export.test_db/export.test_db-5b69d6937c78cb4e.xml (deflated 28%) 2024-08-20T23:08:13.1467318Z adding: test/test-reports/python-pytest/export.test_db/export.test_db-722f96db1b7846ec.xml (deflated 87%) 2024-08-20T23:08:13.1468770Z adding: test/test-reports/python-pytest/dynamo.test_skip_non_tensor/dynamo.test_skip_non_tensor-032d03b98f1ef074.xml (deflated 28%) 2024-08-20T23:08:13.1470361Z adding: test/test-reports/python-pytest/dynamo.test_skip_non_tensor/dynamo.test_skip_non_tensor-b0f41761021ae742.xml (deflated 76%) 2024-08-20T23:08:13.1471964Z adding: test/test-reports/python-pytest/export.test_serialize/export.test_serialize-dab8d342be3b723f.xml (deflated 28%) 2024-08-20T23:08:13.1474287Z adding: test/test-reports/python-pytest/export.test_serialize/export.test_serialize-aa996bf64fcf7ccb.xml (deflated 92%) 2024-08-20T23:08:13.1476940Z adding: test/test-reports/python-pytest/export.test_passes/export.test_passes-160305bc25d1f1c0.xml (deflated 28%) 2024-08-20T23:08:13.1478500Z adding: test/test-reports/python-pytest/export.test_passes/export.test_passes-29f979d115dd3ebe.xml (deflated 81%) 2024-08-20T23:08:13.1480049Z adding: test/test-reports/python-pytest/inductor.test_extension_backend/inductor.test_extension_backend-2432e6fcb9c63baa.xml (deflated 28%) 2024-08-20T23:08:13.1482825Z adding: test/test-reports/python-pytest/inductor.test_extension_backend/inductor.test_extension_backend-feb5cfdf10fbd23c.xml (deflated 52%) 2024-08-20T23:08:13.1484593Z adding: test/test-reports/python-pytest/dynamo.test_pre_dispatch/dynamo.test_pre_dispatch-f5d41d440209610a.xml (deflated 28%) 2024-08-20T23:08:13.1486122Z adding: test/test-reports/python-pytest/dynamo.test_pre_dispatch/dynamo.test_pre_dispatch-9d077899854f0f34.xml (deflated 77%) 2024-08-20T23:08:13.1487623Z adding: test/test-reports/python-pytest/inductor.test_fx_fusion/inductor.test_fx_fusion-a9b6184e55abb3de.xml (deflated 28%) 2024-08-20T23:08:13.1489172Z adding: test/test-reports/python-pytest/inductor.test_fx_fusion/inductor.test_fx_fusion-9c181c4c980ce2d5.xml (deflated 63%) 2024-08-20T23:08:13.1490619Z adding: test/test-reports/python-pytest/dynamo.test_config/dynamo.test_config-9ffce623e8dea936.xml (deflated 28%) 2024-08-20T23:08:13.1492044Z adding: test/test-reports/python-pytest/dynamo.test_config/dynamo.test_config-d98987881ce0f922.xml (deflated 68%) 2024-08-20T23:08:13.1493534Z adding: test/test-reports/python-pytest/dynamo.test_python_autograd/dynamo.test_python_autograd-f3300b413452dd55.xml (deflated 28%) 2024-08-20T23:08:13.1495123Z adding: test/test-reports/python-pytest/dynamo.test_python_autograd/dynamo.test_python_autograd-a53fb7b76ef89501.xml (deflated 76%) 2024-08-20T23:08:13.1496654Z adding: test/test-reports/python-pytest/inductor.test_minifier/inductor.test_minifier-ac00e430b6a17d27.xml (deflated 28%) 2024-08-20T23:08:13.1498161Z adding: test/test-reports/python-pytest/inductor.test_minifier/inductor.test_minifier-bcd19589961d3c3c.xml (deflated 91%) 2024-08-20T23:08:13.1499634Z adding: test/test-reports/python-pytest/dynamo.test_recompiles/dynamo.test_recompiles-3231fe589b6e9a1d.xml (deflated 28%) 2024-08-20T23:08:13.1501296Z adding: test/test-reports/python-pytest/dynamo.test_recompiles/dynamo.test_recompiles-1ee495486ee57601.xml (deflated 76%) 2024-08-20T23:08:13.1502877Z adding: test/test-reports/python-pytest/inductor.test_binary_folding/inductor.test_binary_folding-d3fd528effaed3e2.xml (deflated 28%) 2024-08-20T23:08:13.1504501Z adding: test/test-reports/python-pytest/inductor.test_binary_folding/inductor.test_binary_folding-8b38001fc2972936.xml (deflated 62%) 2024-08-20T23:08:13.1505999Z adding: test/test-reports/python-pytest/dynamo.test_after_aot/dynamo.test_after_aot-5542376a8275cc3c.xml (deflated 29%) 2024-08-20T23:08:13.1507425Z adding: test/test-reports/python-pytest/dynamo.test_after_aot/dynamo.test_after_aot-5566b2eceb7ab192.xml (deflated 49%) 2024-08-20T23:08:13.1508883Z adding: test/test-reports/python-pytest/export.test_pass_infra/export.test_pass_infra-60fcdd0e1a471ddf.xml (deflated 28%) 2024-08-20T23:08:13.1510359Z adding: test/test-reports/python-pytest/export.test_pass_infra/export.test_pass_infra-26b3b3e07842b9e1.xml (deflated 65%) 2024-08-20T23:08:13.1512077Z adding: test/test-reports/python-pytest/dynamo.test_verify_correctness/dynamo.test_verify_correctness-a49f08f684e56d5b.xml (deflated 29%) 2024-08-20T23:08:13.1514951Z adding: test/test-reports/python-pytest/dynamo.test_verify_correctness/dynamo.test_verify_correctness-f5c32e209460ec36.xml (deflated 64%) 2024-08-20T23:08:13.1517602Z adding: test/test-reports/python-pytest/inductor.test_triton_kernels/inductor.test_triton_kernels-4b2a4659abc7447e.xml (deflated 28%) 2024-08-20T23:08:13.1520278Z adding: test/test-reports/python-pytest/inductor.test_triton_kernels/inductor.test_triton_kernels-af7b23bd116ef5e9.xml (deflated 97%) 2024-08-20T23:08:13.1523001Z adding: test/test-reports/python-pytest/dynamo.test_nops/dynamo.test_nops-927a787e13dfe0fc.xml (deflated 29%) 2024-08-20T23:08:13.1525194Z adding: test/test-reports/python-pytest/dynamo.test_nops/dynamo.test_nops-f87009fc3e3a8df3.xml (deflated 62%) 2024-08-20T23:08:13.1527860Z adding: test/test-reports/python-pytest/inductor.test_custom_lowering/inductor.test_custom_lowering-21271843bc0c7541.xml (deflated 28%) 2024-08-20T23:08:13.1529516Z adding: test/test-reports/python-pytest/inductor.test_custom_lowering/inductor.test_custom_lowering-727099ca0d9c7bcc.xml (deflated 75%) 2024-08-20T23:08:13.1531080Z adding: test/test-reports/python-pytest/test_foreach/test_foreach-1a5782bdb3763338.xml (deflated 29%) 2024-08-20T23:08:13.1532326Z adding: test/test-reports/python-pytest/test_foreach/test_foreach-fd843c843aba257d.xml (deflated 97%) 2024-08-20T23:08:13.1533759Z adding: test/test-reports/python-pytest/export.test_retraceability/export.test_retraceability-60cd9c35e3b26653.xml (deflated 28%) 2024-08-20T23:08:13.1539490Z adding: test/test-reports/python-pytest/export.test_retraceability/export.test_retraceability-36cca15bfc06071a.xml (deflated 90%) 2024-08-20T23:08:13.1541725Z adding: test/test-reports/python-pytest/export.test_unflatten/export.test_unflatten-8a2e1bac8e91e992.xml (deflated 28%) 2024-08-20T23:08:13.1543197Z adding: test/test-reports/python-pytest/export.test_unflatten/export.test_unflatten-fa69e13563344f4f.xml (deflated 91%) 2024-08-20T23:08:13.1544614Z adding: test/test-reports/python-pytest/export.test_serdes/export.test_serdes-5a2d743520364894.xml (deflated 28%) 2024-08-20T23:08:13.1551855Z adding: test/test-reports/python-pytest/export.test_serdes/export.test_serdes-5dfe1c09fe6364eb.xml (deflated 88%) 2024-08-20T23:08:13.1553212Z adding: test/test-reports/python-pytest/test_autograd/test_autograd-a5de6924fd5d50ec.xml (deflated 28%) 2024-08-20T23:08:13.1570670Z adding: test/test-reports/python-pytest/test_autograd/test_autograd-a8766bf5403eb3f5.xml (deflated 92%) 2024-08-20T23:08:13.1572108Z adding: test/test-reports/python-pytest/test_functionalization/test_functionalization-bc3d5efff3e7a380.xml (deflated 28%) 2024-08-20T23:08:13.1574876Z adding: test/test-reports/python-pytest/test_functionalization/test_functionalization-204fc0da22eb960e.xml (deflated 89%) 2024-08-20T23:08:13.1576479Z adding: test/test-reports/python-pytest/dynamo.test_frame_init/dynamo.test_frame_init-194603a9beac36af.xml (deflated 28%) 2024-08-20T23:08:13.1577951Z adding: test/test-reports/python-pytest/dynamo.test_frame_init/dynamo.test_frame_init-92453c62f441ed6c.xml (deflated 38%) 2024-08-20T23:08:13.1579384Z adding: test/test-reports/python-pytest/test_serialization/test_serialization-2ccef3d0cf5d2e70.xml (deflated 45%) 2024-08-20T23:08:13.1586691Z adding: test/test-reports/python-pytest/test_serialization/test_serialization-2c652e006698a32e.xml (deflated 97%) 2024-08-20T23:08:13.1588201Z adding: test/test-reports/python-pytest/dynamo.test_exceptions/dynamo.test_exceptions-263b8185e3060c6e.xml (deflated 28%) 2024-08-20T23:08:13.1589684Z adding: test/test-reports/python-pytest/dynamo.test_exceptions/dynamo.test_exceptions-a826bd7710478843.xml (deflated 85%) 2024-08-20T23:08:13.1591420Z adding: test/test-reports/python-pytest/export.test_export_training_ir_to_run_decomp/export.test_export_training_ir_to_run_decomp-7732a3d52ce25c2e.xml (deflated 28%) 2024-08-20T23:08:13.1608950Z adding: test/test-reports/python-pytest/export.test_export_training_ir_to_run_decomp/export.test_export_training_ir_to_run_decomp-bd245fb3f7aa5201.xml (deflated 91%) 2024-08-20T23:08:13.1610811Z adding: test/test-reports/python-pytest/dynamo.test_utils/dynamo.test_utils-0368115c432f1523.xml (deflated 28%) 2024-08-20T23:08:13.1612259Z adding: test/test-reports/python-pytest/dynamo.test_utils/dynamo.test_utils-582fcfad84bccffa.xml (deflated 59%) 2024-08-20T23:08:13.1613654Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-48e91cc6c300dede.xml (deflated 29%) 2024-08-20T23:08:13.1614904Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-0535e8afecb205ba.xml (deflated 29%) 2024-08-20T23:08:13.1616150Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-4ebedf998cbf1b76.xml (deflated 29%) 2024-08-20T23:08:13.1617406Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-7faae2042b13849d.xml (deflated 29%) 2024-08-20T23:08:13.1618658Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-107d0d31d9fd70df.xml (deflated 29%) 2024-08-20T23:08:13.1619992Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-9cbc2ecf0576e35b.xml (deflated 57%) 2024-08-20T23:08:13.1621343Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-baf332db21336dff.xml (deflated 73%) 2024-08-20T23:08:13.1622597Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-73fd658bae626b8a.xml (deflated 83%) 2024-08-20T23:08:13.1623840Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-c35732222bedd14b.xml (deflated 67%) 2024-08-20T23:08:13.1625178Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-c92f2fdfda51c152.xml (deflated 79%) 2024-08-20T23:08:13.1627142Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-8d2485b1df443a7b.xml (deflated 29%) 2024-08-20T23:08:13.1628587Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-1be2ce791c80f843.xml (deflated 88%) 2024-08-20T23:08:13.1629845Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-8e8ab892a11a2a23.xml (deflated 29%) 2024-08-20T23:08:13.1639060Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-2daacd824062b9b7.xml (deflated 89%) 2024-08-20T23:08:13.1640299Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-c62834a4beb053ce.xml (deflated 29%) 2024-08-20T23:08:13.1644746Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-f64581bf90a39a04.xml (deflated 90%) 2024-08-20T23:08:13.1676577Z ##[group]Run # Remove any previous usage logs if they exist 2024-08-20T23:08:13.1677221Z # Remove any previous usage logs if they exist 2024-08-20T23:08:13.1677703Z rm -f logs-*.zip 2024-08-20T23:08:13.1678516Z # this workflow is also run in bazel build test, but we dont generate usage reports for it 2024-08-20T23:08:13.1679322Z # so check to see if the file exists first 2024-08-20T23:08:13.1679818Z if [ -f 'usage_log.txt' ]; then 2024-08-20T23:08:13.1680322Z  zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' 2024-08-20T23:08:13.1680926Z fi 2024-08-20T23:08:13.1681271Z if ls test/**/*.log 1> /dev/null 2>&1; then 2024-08-20T23:08:13.1681827Z  zip -r "logs-${FILE_SUFFIX}.zip" test -i '*.log' 2024-08-20T23:08:13.1682332Z fi 2024-08-20T23:08:13.1688194Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T23:08:13.1688676Z env: 2024-08-20T23:08:13.1688944Z GIT_DEFAULT_BRANCH: main 2024-08-20T23:08:13.1689564Z DOCKER_CONTAINER_ID: 46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d 2024-08-20T23:08:13.1690406Z FILE_SUFFIX: test-default-1-3-amz2023.linux.2xlarge_29025337481 2024-08-20T23:08:13.1690937Z ##[endgroup] 2024-08-20T23:08:13.1783579Z adding: usage_log.txt (deflated 92%) 2024-08-20T23:08:13.2039562Z adding: test/test-reports/inductor.test_max_autotune_1.1_bee2f16e0bb4356e_.log (stored 0%) 2024-08-20T23:08:13.2040755Z adding: test/test-reports/cpp.test_tensorexpr_1.1_c0905992e270191e_.log (deflated 48%) 2024-08-20T23:08:13.2046014Z adding: test/test-reports/inductor.test_distributed_patterns_1.1_2a405b75761653c8_.log (deflated 82%) 2024-08-20T23:08:13.2171991Z adding: test/test-reports/test_utils_1.1_3b81c88ea6b5427a_.log (deflated 95%) 2024-08-20T23:08:13.2242521Z adding: test/test-reports/test_nn_1.1_71abc87b076a95d9_.log (deflated 95%) 2024-08-20T23:08:13.2247666Z adding: test/test-reports/inductor.test_torchinductor_2.4_bdb1098ced1d7d6c_.log (deflated 51%) 2024-08-20T23:08:13.2271262Z adding: test/test-reports/cpp.test_tensorexpr_1.1_3e76a60f1fe3ab53_.log (deflated 94%) 2024-08-20T23:08:13.2278019Z adding: test/test-reports/inductor.test_torchinductor_opinfo_5.39_1b299b7cef4b064b_.log (deflated 52%) 2024-08-20T23:08:13.2288393Z adding: test/test-reports/cpp.static_runtime_test_1.1_a492dd74704e2da7_.log (deflated 90%) 2024-08-20T23:08:13.2293286Z adding: test/test-reports/inductor.test_torchinductor_opinfo_6.39_129f6c661605ff93_.log (deflated 51%) 2024-08-20T23:08:13.2294631Z adding: test/test-reports/cpp.static_runtime_test_1.1_9c52716fa1b7f31f_.log (deflated 49%) 2024-08-20T23:08:13.2298139Z adding: test/test-reports/inductor.test_torchinductor_opinfo_7.39_8c3ddb79aa7f7873_.log (deflated 51%) 2024-08-20T23:08:13.2299398Z adding: test/test-reports/inductor.test_binary_folding_1.1_78a8eef2b6bdcf84_.log (deflated 58%) 2024-08-20T23:08:13.2302500Z adding: test/test-reports/inductor.test_torchinductor_opinfo_14.39_8e3fe9536d13e5fd_.log (deflated 52%) 2024-08-20T23:08:13.2303686Z adding: test/test-reports/dynamo.test_utils_1.1_9b972274e056e498_.log (deflated 68%) 2024-08-20T23:08:13.2307347Z adding: test/test-reports/inductor.test_torchinductor_opinfo_15.39_c03443aa65a9ad26_.log (deflated 51%) 2024-08-20T23:08:13.2308516Z adding: test/test-reports/dynamo.test_nops_1.1_c04781af7163a855_.log (deflated 60%) 2024-08-20T23:08:13.2311588Z adding: test/test-reports/inductor.test_torchinductor_opinfo_16.39_52230836b0b24d4a_.log (deflated 52%) 2024-08-20T23:08:13.2312757Z adding: test/test-reports/inductor.test_triton_heuristics_1.1_fbf4c18736938fcf_.log (stored 0%) 2024-08-20T23:08:13.2317354Z adding: test/test-reports/inductor.test_torchinductor_opinfo_23.39_b9ad8f0897682fcd_.log (deflated 52%) 2024-08-20T23:08:13.2318658Z adding: test/test-reports/dynamo.test_exceptions_1.1_78babe14f2a5cb41_.log (deflated 77%) 2024-08-20T23:08:13.2321747Z adding: test/test-reports/inductor.test_torchinductor_opinfo_24.39_8e4e437cd3a786a7_.log (deflated 51%) 2024-08-20T23:08:13.2339595Z adding: test/test-reports/test_autograd_1.1_108a8b188a1553da_.log (deflated 89%) 2024-08-20T23:08:13.2343926Z adding: test/test-reports/inductor.test_torchinductor_opinfo_25.39_d35315ea561f43f4_.log (deflated 51%) 2024-08-20T23:08:13.2348085Z adding: test/test-reports/inductor.test_torchinductor_opinfo_32.39_8c7f2cc78a9c3b30_.log (deflated 51%) 2024-08-20T23:08:13.2349197Z adding: test/test-reports/cpp.Dimname_test_1.1_99bb7e79502b3570_.log (deflated 49%) 2024-08-20T23:08:13.2351988Z adding: test/test-reports/inductor.test_torchinductor_opinfo_33.39_86f5453c2806e5c2_.log (deflated 52%) 2024-08-20T23:08:13.2353092Z adding: test/test-reports/cpp.Dict_test_1.1_3ebe8e1b72777ec0_.log (deflated 49%) 2024-08-20T23:08:13.2355850Z adding: test/test-reports/inductor.test_torchinductor_opinfo_34.39_0b278d11c083ab67_.log (deflated 51%) 2024-08-20T23:08:13.2356989Z adding: test/test-reports/cpp.NamedTensor_test_1.1_5bf1675c8e848b90_.log (deflated 49%) 2024-08-20T23:08:13.2360151Z adding: test/test-reports/inductor.test_torchinductor_dynamic_shapes_2.3_117f2abadd565c75_.log (deflated 52%) 2024-08-20T23:08:13.2362317Z adding: test/test-reports/cpp.apply_utils_test_1.1_53c59236e7a94572_.log (deflated 49%) 2024-08-20T23:08:13.2364500Z adding: test/test-reports/inductor.test_torchinductor_dynamic_shapes_3.3_bb36be5cf48c7fc1_.log (deflated 56%) 2024-08-20T23:08:13.2366602Z adding: test/test-reports/dynamo.test_modules_1.1_21561a0ddbbf30ad_.log (deflated 50%) 2024-08-20T23:08:13.2368045Z adding: test/test-reports/dynamo.test_export_1.1_491a7b3423594c24_.log (deflated 50%) 2024-08-20T23:08:13.2369975Z adding: test/test-reports/inductor.test_compiled_autograd_1.1_c7971487a1e287c6_.log (deflated 51%) 2024-08-20T23:08:13.2371687Z adding: test/test-reports/inductor.test_cudagraph_trees_1.1_fb92f051af9b54d2_.log (stored 0%) 2024-08-20T23:08:13.2373183Z adding: test/test-reports/inductor.test_split_cat_fx_passes_1.1_f60dbcef39445c7e_.log (stored 0%) 2024-08-20T23:08:13.2374307Z adding: test/test-reports/inductor.test_cpu_repro_2.2_bc744c786ea7bf65_.log (deflated 50%) 2024-08-20T23:08:13.2375371Z adding: test/test-reports/dynamo.test_optimizers_1.1_9839e078d4e545a4_.log (deflated 50%) 2024-08-20T23:08:13.2376454Z adding: test/test-reports/dynamo.test_aot_autograd_1.1_2a490cbde205ce15_.log (deflated 50%) 2024-08-20T23:08:13.2377516Z adding: test/test-reports/export.test_verifier_1.1_c7db4aef82fd0f92_.log (deflated 50%) 2024-08-20T23:08:13.2378534Z adding: test/test-reports/dynamo.test_cudagraphs_1.1_34cf9890c7d364d4_.log (stored 0%) 2024-08-20T23:08:13.2379686Z adding: test/test-reports/dynamo.test_backends_1.1_42bdeec2fffa807c_.log (deflated 50%) 2024-08-20T23:08:13.2380828Z adding: test/test-reports/inductor.test_config_1.1_fcb40114c020f03d_.log (deflated 50%) 2024-08-20T23:08:13.2381864Z adding: test/test-reports/dynamo.test_comptime_1.1_81ea795660ec78cc_.log (deflated 50%) 2024-08-20T23:08:13.2382958Z adding: test/test-reports/inductor.test_standalone_compile_1.1_b5c2926546386e53_.log (deflated 51%) 2024-08-20T23:08:13.2384149Z adding: test/test-reports/dynamo.test_minifier_1.1_649619f22bd678bc_.log (deflated 50%) 2024-08-20T23:08:13.2385151Z adding: test/test-reports/export.test_db_1.1_ad9a47a9c3fe4c24_.log (deflated 49%) 2024-08-20T23:08:13.2386197Z adding: test/test-reports/dynamo.test_skip_non_tensor_1.1_1f839a91bcd15159_.log (deflated 51%) 2024-08-20T23:08:13.2387278Z adding: test/test-reports/export.test_serialize_1.1_08c2f732d37bab5b_.log (deflated 50%) 2024-08-20T23:08:13.2388304Z adding: test/test-reports/export.test_passes_1.1_ac7305a819a2e999_.log (deflated 50%) 2024-08-20T23:08:13.2389377Z adding: test/test-reports/inductor.test_extension_backend_1.1_5e464282d437a1f0_.log (deflated 51%) 2024-08-20T23:08:13.2390496Z adding: test/test-reports/dynamo.test_pre_dispatch_1.1_e4280f2550cb745a_.log (deflated 50%) 2024-08-20T23:08:13.2391564Z adding: test/test-reports/inductor.test_fx_fusion_1.1_da12323a6d0e578e_.log (deflated 50%) 2024-08-20T23:08:13.2392605Z adding: test/test-reports/dynamo.test_config_1.1_4d7728d7ac101ef5_.log (deflated 50%) 2024-08-20T23:08:13.2393658Z adding: test/test-reports/dynamo.test_python_autograd_1.1_627132aa6c3a4838_.log (deflated 51%) 2024-08-20T23:08:13.2394834Z adding: test/test-reports/inductor.test_minifier_1.1_7fe3924a733c6188_.log (deflated 50%) 2024-08-20T23:08:13.2395897Z adding: test/test-reports/dynamo.test_recompiles_1.1_aee81c9510701a8d_.log (deflated 50%) 2024-08-20T23:08:13.2396981Z adding: test/test-reports/inductor.test_binary_folding_1.1_f72efb02f356f3b4_.log (deflated 51%) 2024-08-20T23:08:13.2398067Z adding: test/test-reports/dynamo.test_after_aot_1.1_0e8ae08eb3641bae_.log (deflated 50%) 2024-08-20T23:08:13.2399114Z adding: test/test-reports/export.test_pass_infra_1.1_6737eda0a4abfd96_.log (deflated 50%) 2024-08-20T23:08:13.2400261Z adding: test/test-reports/inductor.test_select_algorithm_1.1_0c6bb5d955aa9239_.log (stored 0%) 2024-08-20T23:08:13.2401405Z adding: test/test-reports/dynamo.test_verify_correctness_1.1_1ae6969f7d7d77cc_.log (deflated 51%) 2024-08-20T23:08:13.2402550Z adding: test/test-reports/inductor.test_triton_kernels_1.1_1e0dba4e4e9b0030_.log (deflated 51%) 2024-08-20T23:08:13.2403608Z adding: test/test-reports/dynamo.test_nops_1.1_616fb3644f25781b_.log (deflated 49%) 2024-08-20T23:08:13.2404663Z adding: test/test-reports/inductor.test_triton_heuristics_1.1_a8b3c660061da8bc_.log (stored 0%) 2024-08-20T23:08:13.2405758Z adding: test/test-reports/inductor.test_snode_runtime_1.1_b4670ceb8d03268c_.log (stored 0%) 2024-08-20T23:08:13.2406870Z adding: test/test-reports/inductor.test_custom_lowering_1.1_93ef9d9cd429cacf_.log (deflated 51%) 2024-08-20T23:08:13.2407892Z adding: test/test-reports/test_foreach_1.1_42233f8c6de2f48a_.log (deflated 49%) 2024-08-20T23:08:13.2408903Z adding: test/test-reports/export.test_retraceability_1.1_b20b0057306f660e_.log (deflated 68%) 2024-08-20T23:08:13.2409975Z adding: test/test-reports/export.test_unflatten_1.1_357c20c90ceea816_.log (deflated 50%) 2024-08-20T23:08:13.2410995Z adding: test/test-reports/export.test_serdes_1.1_371a20b8a3834e90_.log (deflated 59%) 2024-08-20T23:08:13.2411970Z adding: test/test-reports/test_autograd_1.1_9a2540cb4ec9ea9f_.log (deflated 49%) 2024-08-20T23:08:13.2412966Z adding: test/test-reports/test_functionalization_1.1_79985a252b60a7f5_.log (deflated 50%) 2024-08-20T23:08:13.2414018Z adding: test/test-reports/dynamo.test_frame_init_1.1_08bcd13d71a989f4_.log (deflated 50%) 2024-08-20T23:08:13.2415111Z adding: test/test-reports/test_serialization_1.1_131a268ee80657b9_.log (deflated 63%) 2024-08-20T23:08:13.2416121Z adding: test/test-reports/dynamo.test_exceptions_1.1_4952e7776e9273aa_.log (deflated 50%) 2024-08-20T23:08:13.2417206Z adding: test/test-reports/inductor.test_triton_kernels_1.1_b748629fd0ff63bd_.log (deflated 94%) 2024-08-20T23:08:13.2418439Z adding: test/test-reports/export.test_export_training_ir_to_run_decomp_1.1_d01cc195fd0e2e2d_.log (deflated 60%) 2024-08-20T23:08:13.2419567Z adding: test/test-reports/dynamo.test_utils_1.1_f06588b14ffe9d94_.log (deflated 50%) 2024-08-20T23:08:13.2420778Z adding: test/test-reports/inductor.test_select_algorithm_1.1_9e4ee4d973191224_.log (stored 0%) 2024-08-20T23:08:13.2451764Z adding: test/test-reports/export.test_export_training_ir_to_run_decomp_1.1_7df94a99fb6bf62c_.log (deflated 94%) 2024-08-20T23:08:13.2455621Z adding: test/test-reports/inductor.test_torchinductor_2.4_cec1a9a0d6f9a749_.log (deflated 87%) 2024-08-20T23:08:13.2458212Z adding: test/test-reports/inductor.test_torchinductor_opinfo_6.39_505045d41a266d17_.log (deflated 89%) 2024-08-20T23:08:13.2459270Z adding: test/test-reports/cpp.atest_1.1_b3275bf573880bc4_.log (deflated 49%) 2024-08-20T23:08:13.2461998Z adding: test/test-reports/inductor.test_torchinductor_opinfo_5.39_834a70ce2cd24e1d_.log (deflated 90%) 2024-08-20T23:08:13.2464623Z adding: test/test-reports/inductor.test_torchinductor_opinfo_7.39_f388f7b941dc461f_.log (deflated 89%) 2024-08-20T23:08:13.2465669Z adding: test/test-reports/cpp.atest_1.1_ccb2bdb73f2093b2_.log (deflated 74%) 2024-08-20T23:08:13.2468563Z adding: test/test-reports/inductor.test_torchinductor_opinfo_14.39_3fca31e2aea816b2_.log (deflated 89%) 2024-08-20T23:08:13.2471530Z adding: test/test-reports/inductor.test_torchinductor_opinfo_15.39_1d352bc47065c8bc_.log (deflated 89%) 2024-08-20T23:08:13.2472640Z adding: test/test-reports/cpp.Dimname_test_1.1_7b82198ade774828_.log (deflated 60%) 2024-08-20T23:08:13.2474903Z adding: test/test-reports/inductor.test_torchinductor_opinfo_16.39_a63326a24506f3ff_.log (deflated 89%) 2024-08-20T23:08:13.2476036Z adding: test/test-reports/cpp.NamedTensor_test_1.1_8066990ff933ff99_.log (deflated 72%) 2024-08-20T23:08:13.2478519Z adding: test/test-reports/inductor.test_torchinductor_opinfo_23.39_a7fd77d968647b56_.log (deflated 89%) 2024-08-20T23:08:13.2479976Z adding: test/test-reports/cpp.Dict_test_1.1_624b2a6449d1b661_.log (deflated 84%) 2024-08-20T23:08:13.2482864Z adding: test/test-reports/inductor.test_torchinductor_opinfo_24.39_fb1c41859025d92e_.log (deflated 89%) 2024-08-20T23:08:13.2483986Z adding: test/test-reports/cpp.apply_utils_test_1.1_a998194b6db3ee6a_.log (deflated 66%) 2024-08-20T23:08:13.2486331Z adding: test/test-reports/inductor.test_torchinductor_opinfo_25.39_3e4e6d3066a06c50_.log (deflated 89%) 2024-08-20T23:08:13.2487411Z adding: test/test-reports/cpp.test_api_1.1_92ab6936f54296cd_.log (deflated 48%) 2024-08-20T23:08:13.2489605Z adding: test/test-reports/inductor.test_torchinductor_opinfo_32.39_017a19a4d6e1ea48_.log (deflated 89%) 2024-08-20T23:08:13.2520090Z adding: test/test-reports/cpp.test_api_1.1_e0741c1033586675_.log (deflated 93%) 2024-08-20T23:08:13.2523087Z adding: test/test-reports/inductor.test_torchinductor_opinfo_33.39_ce361c7003ad5094_.log (deflated 90%) 2024-08-20T23:08:13.2526064Z adding: test/test-reports/inductor.test_torchinductor_opinfo_34.39_70b95a8e4a883375_.log (deflated 89%) 2024-08-20T23:08:13.2529547Z adding: test/test-reports/dynamo.test_modules_1.1_7ff66a7c25439726_.log (deflated 86%) 2024-08-20T23:08:13.2540924Z adding: test/test-reports/dynamo.test_export_1.1_719ccbd261b5ecff_.log (deflated 91%) 2024-08-20T23:08:13.2547805Z adding: test/test-reports/inductor.test_torchinductor_dynamic_shapes_2.3_7c1d2ea5208fd0c0_.log (deflated 91%) 2024-08-20T23:08:13.2549006Z adding: test/test-reports/inductor.test_cudagraph_trees_1.1_29140dd6bb4784a3_.log (stored 0%) 2024-08-20T23:08:13.2550114Z adding: test/test-reports/inductor.test_split_cat_fx_passes_1.1_207d22db197a9cb8_.log (stored 0%) 2024-08-20T23:08:13.2556346Z adding: test/test-reports/inductor.test_torchinductor_dynamic_shapes_3.3_e2ff716d2cc50235_.log (deflated 91%) 2024-08-20T23:08:13.2557524Z adding: test/test-reports/dynamo.test_optimizers_1.1_37844eed46fd1f04_.log (deflated 57%) 2024-08-20T23:08:13.2558598Z adding: test/test-reports/dynamo.test_aot_autograd_1.1_2f2ae20d8627d0bd_.log (deflated 85%) 2024-08-20T23:08:13.2559640Z adding: test/test-reports/export.test_verifier_1.1_1609fce668656d43_.log (deflated 73%) 2024-08-20T23:08:13.2560744Z adding: test/test-reports/dynamo.test_cudagraphs_1.1_dc4b913feae48261_.log (stored 0%) 2024-08-20T23:08:13.2561786Z adding: test/test-reports/dynamo.test_backends_1.1_a8e5acea15b15c4e_.log (deflated 75%) 2024-08-20T23:08:13.2562834Z adding: test/test-reports/inductor.test_config_1.1_5aff5fb6cdc04b5e_.log (deflated 73%) 2024-08-20T23:08:13.2563858Z adding: test/test-reports/dynamo.test_comptime_1.1_0dfa1d5524b98435_.log (deflated 73%) 2024-08-20T23:08:13.2564973Z adding: test/test-reports/inductor.test_standalone_compile_1.1_2ac5cf58907de8d7_.log (deflated 76%) 2024-08-20T23:08:13.2566073Z adding: test/test-reports/dynamo.test_minifier_1.1_8f9831dea73861b7_.log (deflated 92%) 2024-08-20T23:08:13.2567061Z adding: test/test-reports/export.test_db_1.1_ed777b3addf54424_.log (deflated 83%) 2024-08-20T23:08:13.2568113Z adding: test/test-reports/dynamo.test_skip_non_tensor_1.1_28da7b511f2d7760_.log (deflated 71%) 2024-08-20T23:08:13.2570663Z adding: test/test-reports/export.test_serialize_1.1_c514e806aa7248e9_.log (deflated 88%) 2024-08-20T23:08:13.2572237Z adding: test/test-reports/export.test_passes_1.1_56af22a7f8a11bc9_.log (deflated 91%) 2024-08-20T23:08:13.2573462Z adding: test/test-reports/inductor.test_extension_backend_1.1_e28f494edfeaff6a_.log (deflated 60%) 2024-08-20T23:08:13.2574597Z adding: test/test-reports/dynamo.test_pre_dispatch_1.1_e742ad8ab7f481bf_.log (deflated 60%) 2024-08-20T23:08:13.2575669Z adding: test/test-reports/inductor.test_fx_fusion_1.1_211e3122958761d6_.log (deflated 63%) 2024-08-20T23:08:13.2576709Z adding: test/test-reports/dynamo.test_config_1.1_65d255782331911e_.log (deflated 63%) 2024-08-20T23:08:13.2577770Z adding: test/test-reports/dynamo.test_python_autograd_1.1_b45a2c98f4c7b5cd_.log (deflated 66%) 2024-08-20T23:08:13.2578868Z adding: test/test-reports/inductor.test_cpu_repro_2.2_f3a4a7ca6e6d9729_.log (deflated 84%) 2024-08-20T23:08:13.2579937Z adding: test/test-reports/dynamo.test_recompiles_1.1_cce69f636f5d4e83_.log (deflated 69%) 2024-08-20T23:08:13.2581381Z adding: test/test-reports/inductor.test_minifier_1.1_b83e3d22439c9f06_.log (deflated 91%) 2024-08-20T23:08:13.2582426Z adding: test/test-reports/dynamo.test_after_aot_1.1_abb7064aba372eee_.log (deflated 55%) 2024-08-20T23:08:13.2583478Z adding: test/test-reports/export.test_pass_infra_1.1_d2d7c15520725c64_.log (deflated 64%) 2024-08-20T23:08:13.2599361Z adding: test/test-reports/inductor.test_compiled_autograd_1.1_040903b55e14ec1f_.log (deflated 91%) 2024-08-20T23:08:13.2600526Z adding: test/test-reports/dynamo.test_verify_correctness_1.1_7ac1691852dbf480_.log (deflated 67%) 2024-08-20T23:08:13.2601630Z adding: test/test-reports/inductor.test_snode_runtime_1.1_22fa2ce1b1cf80c5_.log (stored 0%) 2024-08-20T23:08:13.2602747Z adding: test/test-reports/inductor.test_custom_lowering_1.1_98b63209f4596b8e_.log (deflated 65%) 2024-08-20T23:08:13.2603842Z adding: test/test-reports/export.test_unflatten_1.1_83d4939068d75ca5_.log (deflated 79%) 2024-08-20T23:08:13.2625124Z adding: test/test-reports/export.test_retraceability_1.1_b85f869751128887_.log (deflated 92%) 2024-08-20T23:08:13.2648208Z adding: test/test-reports/export.test_serdes_1.1_23bbb2ee7d7b0ea1_.log (deflated 92%) 2024-08-20T23:08:13.2651709Z adding: test/test-reports/test_serialization_1.1_b20b10b1c11ea089_.log (deflated 90%) 2024-08-20T23:08:13.2723342Z adding: test/test-reports/test_foreach_1.1_fe550aa195fd26c3_.log (deflated 96%) 2024-08-20T23:08:13.2725850Z adding: test/test-reports/test_functionalization_1.1_ae27d68a8937ac83_.log (deflated 89%) 2024-08-20T23:08:13.2727055Z adding: test/test-reports/dynamo.test_frame_init_1.1_431e128b84548446_.log (deflated 52%) 2024-08-20T23:08:13.2759182Z ##[group]Run # Remove any previous debugging artifacts if they exist 2024-08-20T23:08:13.2759903Z # Remove any previous debugging artifacts if they exist 2024-08-20T23:08:13.2760449Z rm -f debug-*.zip 2024-08-20T23:08:13.2760806Z if [ -d 'test/debug' ]; then 2024-08-20T23:08:13.2761278Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2024-08-20T23:08:13.2761809Z fi 2024-08-20T23:08:13.2767371Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T23:08:13.2767847Z env: 2024-08-20T23:08:13.2768111Z GIT_DEFAULT_BRANCH: main 2024-08-20T23:08:13.2768729Z DOCKER_CONTAINER_ID: 46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d 2024-08-20T23:08:13.2769548Z FILE_SUFFIX: test-default-1-3-amz2023.linux.2xlarge_29025337481 2024-08-20T23:08:13.2770083Z ##[endgroup] 2024-08-20T23:08:13.2874645Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-08-20T23:08:13.2875080Z with: 2024-08-20T23:08:13.2875328Z s3-bucket: gha-artifacts 2024-08-20T23:08:13.2875746Z s3-prefix: pytorch/pytorch/10479309237/1/artifact 2024-08-20T23:08:13.2876205Z retention-days: 14 2024-08-20T23:08:13.2876507Z if-no-files-found: warn 2024-08-20T23:08:13.2876842Z path: test-jsons-*.zip 2024-08-20T23:08:13.2877158Z name: artifact 2024-08-20T23:08:13.2877423Z region: us-east-1 2024-08-20T23:08:13.2877706Z env: 2024-08-20T23:08:13.2877957Z GIT_DEFAULT_BRANCH: main 2024-08-20T23:08:13.2878544Z DOCKER_CONTAINER_ID: 46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d 2024-08-20T23:08:13.2879349Z ##[endgroup] 2024-08-20T23:08:13.9184662Z NOTE: s3-prefix specified, ignoring name parameter 2024-08-20T23:08:13.9185597Z With the provided path, there will be 1 file uploaded 2024-08-20T23:08:13.9186438Z Uploading to s3 prefix: pytorch/pytorch/10479309237/1/artifact 2024-08-20T23:08:14.0425437Z Starting upload of test-jsons-test-default-1-3-amz2023.linux.2xlarge_29025337481.zip 2024-08-20T23:08:14.1447760Z Finished upload of test-jsons-test-default-1-3-amz2023.linux.2xlarge_29025337481.zip 2024-08-20T23:08:14.1658995Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-08-20T23:08:14.1659439Z with: 2024-08-20T23:08:14.1659704Z s3-bucket: gha-artifacts 2024-08-20T23:08:14.1660122Z s3-prefix: pytorch/pytorch/10479309237/1/artifact 2024-08-20T23:08:14.1660680Z retention-days: 14 2024-08-20T23:08:14.1661012Z if-no-files-found: error 2024-08-20T23:08:14.1661375Z path: test-reports-*.zip 2024-08-20T23:08:14.1661694Z name: artifact 2024-08-20T23:08:14.1661975Z region: us-east-1 2024-08-20T23:08:14.1662263Z env: 2024-08-20T23:08:14.1662501Z GIT_DEFAULT_BRANCH: main 2024-08-20T23:08:14.1663108Z DOCKER_CONTAINER_ID: 46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d 2024-08-20T23:08:14.1663768Z ##[endgroup] 2024-08-20T23:08:14.5291040Z NOTE: s3-prefix specified, ignoring name parameter 2024-08-20T23:08:14.5291811Z With the provided path, there will be 1 file uploaded 2024-08-20T23:08:14.5292437Z Uploading to s3 prefix: pytorch/pytorch/10479309237/1/artifact 2024-08-20T23:08:14.5332809Z Starting upload of test-reports-test-default-1-3-amz2023.linux.2xlarge_29025337481.zip 2024-08-20T23:08:14.7544244Z Finished upload of test-reports-test-default-1-3-amz2023.linux.2xlarge_29025337481.zip 2024-08-20T23:08:14.7754588Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-08-20T23:08:14.7755026Z with: 2024-08-20T23:08:14.7755291Z s3-bucket: gha-artifacts 2024-08-20T23:08:14.7755706Z s3-prefix: pytorch/pytorch/10479309237/1/artifact 2024-08-20T23:08:14.7756166Z retention-days: 14 2024-08-20T23:08:14.7756482Z if-no-files-found: ignore 2024-08-20T23:08:14.7756823Z path: logs-*.zip 2024-08-20T23:08:14.7757097Z name: artifact 2024-08-20T23:08:14.7757379Z region: us-east-1 2024-08-20T23:08:14.7757743Z env: 2024-08-20T23:08:14.7757985Z GIT_DEFAULT_BRANCH: main 2024-08-20T23:08:14.7758591Z DOCKER_CONTAINER_ID: 46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d 2024-08-20T23:08:14.7759249Z ##[endgroup] 2024-08-20T23:08:15.1318918Z NOTE: s3-prefix specified, ignoring name parameter 2024-08-20T23:08:15.1319550Z With the provided path, there will be 1 file uploaded 2024-08-20T23:08:15.1320164Z Uploading to s3 prefix: pytorch/pytorch/10479309237/1/artifact 2024-08-20T23:08:15.1358698Z Starting upload of logs-test-default-1-3-amz2023.linux.2xlarge_29025337481.zip 2024-08-20T23:08:15.3342992Z Finished upload of logs-test-default-1-3-amz2023.linux.2xlarge_29025337481.zip 2024-08-20T23:08:15.3526014Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-08-20T23:08:15.3526460Z with: 2024-08-20T23:08:15.3526723Z s3-bucket: gha-artifacts 2024-08-20T23:08:15.3527148Z s3-prefix: pytorch/pytorch/10479309237/1/artifact 2024-08-20T23:08:15.3527600Z retention-days: 14 2024-08-20T23:08:15.3527918Z if-no-files-found: ignore 2024-08-20T23:08:15.3528257Z path: debug-*.zip 2024-08-20T23:08:15.3528535Z name: artifact 2024-08-20T23:08:15.3528812Z region: us-east-1 2024-08-20T23:08:15.3529088Z env: 2024-08-20T23:08:15.3529327Z GIT_DEFAULT_BRANCH: main 2024-08-20T23:08:15.3529928Z DOCKER_CONTAINER_ID: 46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d 2024-08-20T23:08:15.3530590Z ##[endgroup] 2024-08-20T23:08:15.6981129Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2024-08-20T23:08:15.7163526Z ##[group]Run # shellcheck disable=SC2156 2024-08-20T23:08:15.7164001Z # shellcheck disable=SC2156 2024-08-20T23:08:15.7164807Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2024-08-20T23:08:15.7170811Z shell: /usr/bin/bash -e {0} 2024-08-20T23:08:15.7171141Z env: 2024-08-20T23:08:15.7171402Z GIT_DEFAULT_BRANCH: main 2024-08-20T23:08:15.7172002Z DOCKER_CONTAINER_ID: 46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d 2024-08-20T23:08:15.7172677Z ##[endgroup] 2024-08-20T23:08:15.9496564Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2024-08-20T23:08:15.9497121Z with: 2024-08-20T23:08:15.9497363Z env: 2024-08-20T23:08:15.9497700Z GIT_DEFAULT_BRANCH: main 2024-08-20T23:08:15.9498352Z DOCKER_CONTAINER_ID: 46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d 2024-08-20T23:08:15.9499027Z ##[endgroup] 2024-08-20T23:08:15.9520110Z ##[group]Run set -eou pipefail 2024-08-20T23:08:15.9520511Z set -eou pipefail 2024-08-20T23:08:15.9520840Z  2024-08-20T23:08:15.9521342Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2024-08-20T23:08:15.9521977Z for _ in $(seq 1440); do 2024-08-20T23:08:15.9522542Z  # Break if no ssh session exists anymore 2024-08-20T23:08:15.9523038Z  if [ "$(who)" = "" ]; then 2024-08-20T23:08:15.9523414Z  break 2024-08-20T23:08:15.9523711Z  fi 2024-08-20T23:08:15.9524027Z  echo "." 2024-08-20T23:08:15.9524337Z  sleep 5 2024-08-20T23:08:15.9524631Z done 2024-08-20T23:08:15.9531552Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T23:08:15.9532050Z env: 2024-08-20T23:08:15.9532310Z GIT_DEFAULT_BRANCH: main 2024-08-20T23:08:15.9532904Z DOCKER_CONTAINER_ID: 46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d 2024-08-20T23:08:15.9533565Z ##[endgroup] 2024-08-20T23:08:15.9557891Z Holding runner for 2 hours until all ssh sessions have logged out 2024-08-20T23:08:15.9636722Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2024-08-20T23:08:15.9637491Z # ignore expansion of "docker ps -q" since it could be empty 2024-08-20T23:08:15.9638081Z # shellcheck disable=SC2046 2024-08-20T23:08:15.9638524Z docker stop $(docker ps -q) || true 2024-08-20T23:08:15.9638977Z # Prune all of the docker images 2024-08-20T23:08:15.9639500Z docker system prune -af 2024-08-20T23:08:15.9645001Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T23:08:15.9645476Z env: 2024-08-20T23:08:15.9645731Z GIT_DEFAULT_BRANCH: main 2024-08-20T23:08:15.9646334Z DOCKER_CONTAINER_ID: 46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d 2024-08-20T23:08:15.9646987Z ##[endgroup] 2024-08-20T23:08:16.8305897Z 46d9149ea592 2024-08-20T23:08:18.8905942Z Deleted Containers: 2024-08-20T23:08:18.8906526Z 46d9149ea592f4c4c9f2cbf80d1e8d3fca5990c7557528e3e0567a8f85e4106d 2024-08-20T23:08:18.8907269Z 2024-08-20T23:08:24.7487524Z Deleted Images: 2024-08-20T23:08:24.7489388Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:f6d216893d65c7b8ae43df4daaf247db808378e9 2024-08-20T23:08:24.7491379Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10@sha256:53bea9665c81f7bdf502e7eb907e80d01ec46372a842842380b5284cbc52773e 2024-08-20T23:08:24.7492839Z deleted: sha256:2aaa7058a7e1d063370f2bda46a0fffde19193dd83023b51f0f1d1c55b4a88e4 2024-08-20T23:08:24.7493731Z deleted: sha256:c4327edcdd2d1c61d95766db714d2ecc276d9c30a9a36dc9760825081e3a6b75 2024-08-20T23:08:24.7494625Z deleted: sha256:0b0762b8ce05ed267d7ee72100ddcb97a7d6a9edb90e541deef48458743148e3 2024-08-20T23:08:24.7495480Z deleted: sha256:7b21342863823d38d262243de8b4b2ff876b9dead47105e0b91fee5cd2aa6664 2024-08-20T23:08:24.7496346Z deleted: sha256:c93e3118ca613926ad893a7a4882c4ea65a0cd1c005e87cdac6a0dafdc068673 2024-08-20T23:08:24.7497240Z deleted: sha256:eeb36fe6aefeed0dd6323f9282ce313f853b82ac94a4fc92307a0f97e53f8d03 2024-08-20T23:08:24.7498138Z deleted: sha256:e0d362451e85b9a1f6fe0b338cb306fa0bda1ef3bb3a0287021478dd2e53b55d 2024-08-20T23:08:24.7499009Z deleted: sha256:de15823680bea59a9a9fef9db33d9365617ed91ae7a21ba631ee00f6ec41ee62 2024-08-20T23:08:24.7499888Z deleted: sha256:f1ee653bc15555c650b76fe1ddd12e411fd1c78a89263c1e258ccaa24eb342bd 2024-08-20T23:08:24.7501215Z deleted: sha256:62e0582215a97eadcc92bce49df7a6f3a14e15d9c7022d45d57f0dbaf54c943e 2024-08-20T23:08:24.7502088Z deleted: sha256:b6f418f55606e2d9702380e416c9ef0979ea9bdfe3ea9d22abdab147b00a6f97 2024-08-20T23:08:24.7502982Z deleted: sha256:e7634347199ce784bfedebe8e19469b06da1e9779bd022b1f0ae04d61df78b12 2024-08-20T23:08:24.7503936Z deleted: sha256:38dc55b5ddc2c012fcde6976392d8e3c19ebd904c57c842952cebe0cec690971 2024-08-20T23:08:24.7504797Z deleted: sha256:c6d6f1cc46c81ac2e7e919cd541787c64d315349e7052162f4d66fa77da23054 2024-08-20T23:08:24.7505701Z deleted: sha256:d4ac4ce29bb4a23bcac697c79ef7c0cb33a1acdcbd1aa5d7b48204aabfd788b0 2024-08-20T23:08:24.7506595Z deleted: sha256:f865a119b2376c83d32f176e80b916cad2c99eb5c99458c2a3fa7f86e9e4eca9 2024-08-20T23:08:24.7507454Z deleted: sha256:8cf6eee4c7b2dc442434e49002245d96b726593760539cb2dbdb59e104ab2183 2024-08-20T23:08:24.7508314Z deleted: sha256:50cf04b85cce2ca9fa895d1d4e605aaf0b4eb3967bff399122a38359276eeefc 2024-08-20T23:08:24.7509191Z deleted: sha256:f3a3c870e3f52638f6ac8c8cdb082d71346c08a6908b079298a4ce71ccc4f8e0 2024-08-20T23:08:24.7510072Z deleted: sha256:debb6d37bb23e463d78a30ddf9a16f31c2fc04c77730f8516817f921049b4bda 2024-08-20T23:08:24.7510939Z deleted: sha256:8b6ac666cbc84b6658afdb4dc4a6e79a632fc39a85c26415a6118ff5c6e0db43 2024-08-20T23:08:24.7511885Z deleted: sha256:ee4cbc346209967d909332dd7f3bf779f9aa33fa1ce7bbe3b5fc16ee0ad4bdf6 2024-08-20T23:08:24.7512747Z deleted: sha256:76548955820014e1d84f7c01afb464eda4c5de9d28f3692d48a35ecf9be362ab 2024-08-20T23:08:24.7513590Z deleted: sha256:0ca7ff47c44230d7264b2ad2f7ddd909f6eac72597bcbb246b1c0d86a3abfa0e 2024-08-20T23:08:24.7514632Z deleted: sha256:1d2bc48c4c0a2308abcae066ed4261a7dd7f8fee27aee8b5607f85601cecda52 2024-08-20T23:08:24.7515486Z deleted: sha256:55f58417672c84b0058991b388082139d6c6b092b490af065eefc6515b32a984 2024-08-20T23:08:24.7516347Z deleted: sha256:12abc759ff3c4b1bd8631a7c3ddf4bd3a91489aea3242446096f17a659a33338 2024-08-20T23:08:24.7530248Z deleted: sha256:b2c3f01077f1569553349df3739565868739a7bdb05a6a54a54525f279f32400 2024-08-20T23:08:24.7531899Z deleted: sha256:b820700bcf0961d51071347993f4691234b569494857e7e0b16c2ce60f110953 2024-08-20T23:08:24.7533235Z deleted: sha256:bf0e904cd117e9da13cf649d4c548494852e71eba590f849929a91367723d18e 2024-08-20T23:08:24.7534200Z deleted: sha256:d030d9ef2385c3c5e9d80850566041a6013db5d33fa420d0317d8d07d4b6a872 2024-08-20T23:08:24.7535079Z deleted: sha256:2adc34628fc9de0ab6c7f993699ef94b7e9f32cf3279f58906c05afc65ba197b 2024-08-20T23:08:24.7535957Z deleted: sha256:06d15c551f74049cee65927ec38d8b592afdf01b967ffb9acd450f6307773957 2024-08-20T23:08:24.7536937Z deleted: sha256:efec11f21c1b9247ac7960491976e7417e7679bddeb4dc3d0e485bbd07a40d2d 2024-08-20T23:08:24.7537814Z deleted: sha256:72e62c6157de51e24a9e4876af7d22dc224440748462a2c9fd1b4ab8d415b4b9 2024-08-20T23:08:24.7538688Z deleted: sha256:a353aec707be888144438dec5b09db32bc2bca04ed9214fd2067337b7129f904 2024-08-20T23:08:24.7539555Z deleted: sha256:874116f3fe37248cb7182fbe7fe6f6ca32f42233a0b348270530c9f1807e4e44 2024-08-20T23:08:24.7540532Z deleted: sha256:106c5e8591535e1ea0ff5d799264da47979770a20f2c40d3817ac8b18c98484c 2024-08-20T23:08:24.7541409Z deleted: sha256:5b306f32dec3703abdbbebf4532df7bdae645634b08aa7918171a90f7d435fcf 2024-08-20T23:08:24.7542294Z deleted: sha256:0b2e32ec8ac8331e42468271a3f163c3b984d35c4ee45545bff85ae635230425 2024-08-20T23:08:24.7543146Z deleted: sha256:2900b5c4949b9ae9b167b1dd9c65e1b08a65b7c378b1365ec7a37a04f4fe0cca 2024-08-20T23:08:24.7544015Z deleted: sha256:9b3772be786148cf925ad52c902648d50294502ccfc3df6af3d6ca90c08ff498 2024-08-20T23:08:24.7544891Z deleted: sha256:77eea026e216b1f37d9c6d76d3fdf5007fb0144f9d4e9d8b2b21983ebd6f2d66 2024-08-20T23:08:24.7545737Z deleted: sha256:3411e06788418fa7e954ef69829867ff08c064d5650390092144caa74dfbd35b 2024-08-20T23:08:24.7546590Z deleted: sha256:2bd0a8a697700d8bdeb8a7b2e87aa1e50bc9b4fd6275388568712c256fe89584 2024-08-20T23:08:24.7547464Z deleted: sha256:5639359e57b0d3a1ece08b4a38355e0d4a0f269619cc478802759ff0e98f0ff7 2024-08-20T23:08:24.7548325Z deleted: sha256:b09437bbc1bd867fea309cc4644fa916a6fed1402e17f3eb34e17bf8e18d7009 2024-08-20T23:08:24.7549336Z deleted: sha256:df7d1579d03b7a0edd932199a9aa851474000fb44796e10de779c0d66a083ae4 2024-08-20T23:08:24.7550224Z deleted: sha256:e4d92eab101be2bd5a07ba6c0dfb44079c7e3f70ded3964a1b6703848f974739 2024-08-20T23:08:24.7551270Z deleted: sha256:e01a9a8feeeadf0a0ac92544e4179962b4e30df04e25637bc650e0ac752122c0 2024-08-20T23:08:24.7552164Z deleted: sha256:4649cc1ebf67b08ad0d95082a9782b52f066b69a6cf38714c93c8e532bd6f421 2024-08-20T23:08:24.7553250Z deleted: sha256:ff31c2fb329ef8c677a33677bc5822f5666c0bb277f6f7f10289e00660ae7d26 2024-08-20T23:08:24.7554194Z deleted: sha256:4e6dde2bff0a3412b9ac97cf3996185af39cd852ecadafcd51fc7f2de2e60644 2024-08-20T23:08:24.7555422Z deleted: sha256:1408cd2bc15a24fe2f0133f057f08bc41c7891b23571560cbfcb92f41737bf8f 2024-08-20T23:08:24.7556311Z deleted: sha256:e3845fc42ecda662fc976333fdb8f2b04b20e095e8fe472fbce7fdde9dd56f9f 2024-08-20T23:08:24.7557327Z deleted: sha256:971dc82f5b52499398206b72592ac545507803ca4c834e6b57dd17a05a318af6 2024-08-20T23:08:24.7558190Z deleted: sha256:2ba90b110e446d308cab9fa506f6583c651a15fc139cd31bd48673e7b8186b68 2024-08-20T23:08:24.7559192Z deleted: sha256:4e0a4010ae49187e72acfef1ec7a619b4c88a5316cb822150789d8049b523a42 2024-08-20T23:08:24.7560066Z deleted: sha256:80ae73c748b1ea8328b7939acd5f3f9338a8ddc80f79c95fdb3b747727456c33 2024-08-20T23:08:24.7560945Z deleted: sha256:ba756c0b5b0f49651e5716b6d4acae21ccb2e620799359f6b585cc7265442648 2024-08-20T23:08:24.7561936Z deleted: sha256:5fc12b6b10dce46d82c0444dca8fafbc6537f91c0a0a709814a5ec75ff4213dd 2024-08-20T23:08:24.7562830Z deleted: sha256:b1cceb9f66e1b375c20250503e2cc77102a45061f8e27bd8d26603ec577e3324 2024-08-20T23:08:24.7563714Z deleted: sha256:9ef68344f78c82f3e4a1dce1c20fcaec98f93b2b5bb5f595f69f15b036df80c4 2024-08-20T23:08:24.7564589Z deleted: sha256:92e3ae41630763cdffdc4ec45e0816cdf105fd0522f4554a7b8c994d65f87698 2024-08-20T23:08:24.7565465Z deleted: sha256:0cc23ead7af6378314421b6c5da1557f21d480b5cebdc56cc05aa782329a9ed4 2024-08-20T23:08:24.7566434Z deleted: sha256:ac9f4d03b374faa8fed9b8606e8c6c15a589c599b6ada6faf45b03a6944f0dc5 2024-08-20T23:08:24.7567360Z deleted: sha256:6df91f14a01b0131911db47613f40adbc1ee52b21e7f9eff4a166096e967b79f 2024-08-20T23:08:24.7568220Z deleted: sha256:661937797c97143f9855791f19df28ecdb55b81d42567ca3bef845ff7eee2672 2024-08-20T23:08:24.7569080Z deleted: sha256:e22f46c28caf62b7a2460b6a50b7158885afc0b2df537a665c230060e61786f0 2024-08-20T23:08:24.7569960Z deleted: sha256:3f21a66da1a9e3347cf4c3eab81866121691ba4e5c062a3fd21e7e3ea0f3932d 2024-08-20T23:08:24.7570850Z deleted: sha256:8976f2964795315cb560b369e83ab75cbc76fba56571a06cc8b836bec324fc9b 2024-08-20T23:08:24.7571709Z deleted: sha256:3741000c648bb5527edf9483c0a70b12ac3bb8f846cd3fe6d99eee8dcb9ad000 2024-08-20T23:08:24.7572593Z deleted: sha256:6a88ac146bcb1ff342a7b14cdcbe5c8d22a044705c4488d3d2ccc7021c1f8988 2024-08-20T23:08:24.7573453Z deleted: sha256:1966f91f3c9772471c354e781cb9cf68063d6be539e42509f00b7417baffe09d 2024-08-20T23:08:24.7574306Z deleted: sha256:31c1981f30729cd87955af1e86a9d0ca45763ac850c941691d2fb930174beb88 2024-08-20T23:08:24.7575171Z deleted: sha256:065fa69f7e39454c49479268684c0ec107e032daebedaf2fa1670ea3fc5485bb 2024-08-20T23:08:24.7576035Z deleted: sha256:fd51a6d8905bf2ad062bf66480dcdd8479fc11e5c398d9e3f6b9ee803d1097b1 2024-08-20T23:08:24.7576927Z deleted: sha256:9b0bb65bc5356eb00c526f431e4aec67a8763ff56e02b4bc0ab5580da4436fdc 2024-08-20T23:08:24.7578279Z deleted: sha256:5db5cc8b8a28593d06b949375372eac3be6384f06612d6f947d52c5d769ddd8c 2024-08-20T23:08:24.7579223Z deleted: sha256:2ddb8a250e9dd4921b2c90570756cb2d1c4cf5938501bfa8f229b1364ea98d43 2024-08-20T23:08:24.7580093Z deleted: sha256:7348c4dfb0a36bcd0916a13ed0ea0d8c216050a67c007a4cf5524ca0225171e5 2024-08-20T23:08:24.7581106Z deleted: sha256:5dafc7b501f1d888200eb86b4f01d1ae6c7b82d4a06b47b07e20f9b08be6fbb4 2024-08-20T23:08:24.7581977Z deleted: sha256:479a0268f88636fc336017efeae90d7cb9737b67372b8624a78eefdef85da57f 2024-08-20T23:08:24.7582837Z deleted: sha256:a6870ec51add96bf2af430ac53172e60386bb0067af7673684dcfeaeaa18f0e6 2024-08-20T23:08:24.7583824Z deleted: sha256:e3b4c2110bbe029ce3695df4cebcd55b8b10167bffc37347263a27504af949e7 2024-08-20T23:08:24.7584695Z deleted: sha256:5575454e31142b0e45b2c2290cde2805e297f47f2ac715d1761a15252418bcd2 2024-08-20T23:08:24.7585555Z deleted: sha256:a136d5e02789e5b7355638b08961dddbe47bba7c60588992df1e9a0117e273c4 2024-08-20T23:08:24.7586440Z deleted: sha256:dc15e8f0ceb13e55e3832faa7211b1cd51c629ebe82682f6c9f5775bcab3ece9 2024-08-20T23:08:24.7587317Z deleted: sha256:a941d5a736d59b59b13bfe1369d7e6f211e519f2e07b4e545347697619702d66 2024-08-20T23:08:24.7588178Z deleted: sha256:d52495f3415768450531f4a9d565b41e6b32e2d7bb406bbf43d27a4d6d359be5 2024-08-20T23:08:24.7589021Z deleted: sha256:7ede778ed1133f24fa049860f33b10e50b549d8b190a67421c6275bcfb2d7ff7 2024-08-20T23:08:24.7589891Z deleted: sha256:da86860f998359be1de01ea91e55c8f634a59eaa1d2760c0c6b2b4f64c33ed61 2024-08-20T23:08:24.7590778Z deleted: sha256:3ec3ded77c0ce89e931f92aed086b2a2c774a6fbd51617853decc8afa4e1087a 2024-08-20T23:08:24.7591318Z 2024-08-20T23:08:24.7594162Z Total reclaimed space: 10.07GB 2024-08-20T23:08:24.7702463Z Post job cleanup. 2024-08-20T23:08:24.7766602Z Post job cleanup. 2024-08-20T23:08:24.8638092Z [command]/usr/bin/git version 2024-08-20T23:08:24.8860522Z git version 2.40.1 2024-08-20T23:08:24.8899173Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/8da47923-3d74-4d27-aa36-587df1bf9292' before making global git config changes 2024-08-20T23:08:24.8900593Z Adding repository directory to the temporary git global config as a safe directory 2024-08-20T23:08:24.8903865Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-08-20T23:08:24.8952255Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2024-08-20T23:08:24.8985773Z [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' || :" 2024-08-20T23:08:24.9368848Z Entering 'android/libs/fbjni' 2024-08-20T23:08:24.9431291Z Entering 'third_party/FP16' 2024-08-20T23:08:24.9493784Z Entering 'third_party/FXdiv' 2024-08-20T23:08:24.9554532Z Entering 'third_party/NNPACK' 2024-08-20T23:08:24.9632579Z Entering 'third_party/VulkanMemoryAllocator' 2024-08-20T23:08:24.9684081Z Entering 'third_party/XNNPACK' 2024-08-20T23:08:24.9813913Z Entering 'third_party/benchmark' 2024-08-20T23:08:24.9883707Z Entering 'third_party/cpp-httplib' 2024-08-20T23:08:24.9933961Z Entering 'third_party/cpuinfo' 2024-08-20T23:08:24.9999073Z Entering 'third_party/cudnn_frontend' 2024-08-20T23:08:25.0048901Z Entering 'third_party/cutlass' 2024-08-20T23:08:25.0107025Z Entering 'third_party/eigen' 2024-08-20T23:08:25.0180565Z Entering 'third_party/fbgemm' 2024-08-20T23:08:25.0258056Z Entering 'third_party/fbgemm/third_party/asmjit' 2024-08-20T23:08:25.0321595Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2024-08-20T23:08:25.0380727Z Entering 'third_party/fbgemm/third_party/cutlass' 2024-08-20T23:08:25.0479612Z Entering 'third_party/fbgemm/third_party/googletest' 2024-08-20T23:08:25.0550858Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2024-08-20T23:08:25.0611976Z Entering 'third_party/flatbuffers' 2024-08-20T23:08:25.0665759Z Entering 'third_party/fmt' 2024-08-20T23:08:25.0722602Z Entering 'third_party/gemmlowp/gemmlowp' 2024-08-20T23:08:25.0785613Z Entering 'third_party/gloo' 2024-08-20T23:08:25.0846459Z Entering 'third_party/googletest' 2024-08-20T23:08:25.0908924Z Entering 'third_party/ideep' 2024-08-20T23:08:25.0979167Z Entering 'third_party/ideep/mkl-dnn' 2024-08-20T23:08:25.1078509Z Entering 'third_party/ittapi' 2024-08-20T23:08:25.1131781Z Entering 'third_party/kineto' 2024-08-20T23:08:25.1182199Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2024-08-20T23:08:25.1232410Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2024-08-20T23:08:25.1284015Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2024-08-20T23:08:25.1333480Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-08-20T23:08:25.1383076Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-08-20T23:08:25.1431851Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-08-20T23:08:25.1483057Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-08-20T23:08:25.1532607Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-08-20T23:08:25.1581702Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-08-20T23:08:25.1631529Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-08-20T23:08:25.1682196Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2024-08-20T23:08:25.1730507Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2024-08-20T23:08:25.1781443Z Entering 'third_party/mimalloc' 2024-08-20T23:08:25.1833687Z Entering 'third_party/nccl/nccl' 2024-08-20T23:08:25.1903517Z Entering 'third_party/nlohmann' 2024-08-20T23:08:25.1953721Z Entering 'third_party/onnx' 2024-08-20T23:08:25.2101061Z Entering 'third_party/onnx/third_party/benchmark' 2024-08-20T23:08:25.2168151Z Entering 'third_party/onnx/third_party/pybind11' 2024-08-20T23:08:25.2230554Z Entering 'third_party/opentelemetry-cpp' 2024-08-20T23:08:25.2284300Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2024-08-20T23:08:25.2333369Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2024-08-20T23:08:25.2383057Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2024-08-20T23:08:25.2433161Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2024-08-20T23:08:25.2484132Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2024-08-20T23:08:25.2534842Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2024-08-20T23:08:25.2583230Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2024-08-20T23:08:25.2632417Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2024-08-20T23:08:25.2684665Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2024-08-20T23:08:25.2736412Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-08-20T23:08:25.2807568Z Entering 'third_party/pocketfft' 2024-08-20T23:08:25.2861054Z Entering 'third_party/protobuf' 2024-08-20T23:08:25.2947560Z Entering 'third_party/protobuf/third_party/benchmark' 2024-08-20T23:08:25.3010623Z Entering 'third_party/protobuf/third_party/googletest' 2024-08-20T23:08:25.3076843Z Entering 'third_party/psimd' 2024-08-20T23:08:25.3136840Z Entering 'third_party/pthreadpool' 2024-08-20T23:08:25.3194976Z Entering 'third_party/pybind11' 2024-08-20T23:08:25.3252720Z Entering 'third_party/python-peachpy' 2024-08-20T23:08:25.3316312Z Entering 'third_party/sleef' 2024-08-20T23:08:25.3378690Z Entering 'third_party/tensorpipe' 2024-08-20T23:08:25.3448875Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-08-20T23:08:25.3516150Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-08-20T23:08:25.3578984Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-08-20T23:08:25.3640779Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-08-20T23:08:25.3713468Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-08-20T23:08:25.3795050Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2024-08-20T23:08:25.3822213Z http.https://github.com/.extraheader 2024-08-20T23:08:25.3833292Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2024-08-20T23:08:25.3866774Z [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' || :" 2024-08-20T23:08:25.4144421Z Entering 'android/libs/fbjni' 2024-08-20T23:08:25.4178521Z http.https://github.com/.extraheader 2024-08-20T23:08:25.4209501Z Entering 'third_party/FP16' 2024-08-20T23:08:25.4244847Z http.https://github.com/.extraheader 2024-08-20T23:08:25.4276070Z Entering 'third_party/FXdiv' 2024-08-20T23:08:25.4308975Z http.https://github.com/.extraheader 2024-08-20T23:08:25.4337631Z Entering 'third_party/NNPACK' 2024-08-20T23:08:25.4371171Z http.https://github.com/.extraheader 2024-08-20T23:08:25.4401343Z Entering 'third_party/VulkanMemoryAllocator' 2024-08-20T23:08:25.4435978Z http.https://github.com/.extraheader 2024-08-20T23:08:25.4467758Z Entering 'third_party/XNNPACK' 2024-08-20T23:08:25.4500456Z http.https://github.com/.extraheader 2024-08-20T23:08:25.4550274Z Entering 'third_party/benchmark' 2024-08-20T23:08:25.4584142Z http.https://github.com/.extraheader 2024-08-20T23:08:25.4617893Z Entering 'third_party/cpp-httplib' 2024-08-20T23:08:25.4651852Z http.https://github.com/.extraheader 2024-08-20T23:08:25.4683400Z Entering 'third_party/cpuinfo' 2024-08-20T23:08:25.4717140Z http.https://github.com/.extraheader 2024-08-20T23:08:25.4750269Z Entering 'third_party/cudnn_frontend' 2024-08-20T23:08:25.4784109Z http.https://github.com/.extraheader 2024-08-20T23:08:25.4815169Z Entering 'third_party/cutlass' 2024-08-20T23:08:25.4849820Z http.https://github.com/.extraheader 2024-08-20T23:08:25.4889742Z Entering 'third_party/eigen' 2024-08-20T23:08:25.4923794Z http.https://github.com/.extraheader 2024-08-20T23:08:25.4960386Z Entering 'third_party/fbgemm' 2024-08-20T23:08:25.4993157Z http.https://github.com/.extraheader 2024-08-20T23:08:25.5024678Z Entering 'third_party/fbgemm/third_party/asmjit' 2024-08-20T23:08:25.5057575Z http.https://github.com/.extraheader 2024-08-20T23:08:25.5087742Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2024-08-20T23:08:25.5119920Z http.https://github.com/.extraheader 2024-08-20T23:08:25.5150610Z Entering 'third_party/fbgemm/third_party/cutlass' 2024-08-20T23:08:25.5182918Z http.https://github.com/.extraheader 2024-08-20T23:08:25.5219905Z Entering 'third_party/fbgemm/third_party/googletest' 2024-08-20T23:08:25.5252125Z http.https://github.com/.extraheader 2024-08-20T23:08:25.5284061Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2024-08-20T23:08:25.5316744Z http.https://github.com/.extraheader 2024-08-20T23:08:25.5349934Z Entering 'third_party/flatbuffers' 2024-08-20T23:08:25.5384697Z http.https://github.com/.extraheader 2024-08-20T23:08:25.5417466Z Entering 'third_party/fmt' 2024-08-20T23:08:25.5450410Z http.https://github.com/.extraheader 2024-08-20T23:08:25.5481714Z Entering 'third_party/gemmlowp/gemmlowp' 2024-08-20T23:08:25.5514752Z http.https://github.com/.extraheader 2024-08-20T23:08:25.5547209Z Entering 'third_party/gloo' 2024-08-20T23:08:25.5579716Z http.https://github.com/.extraheader 2024-08-20T23:08:25.5609940Z Entering 'third_party/googletest' 2024-08-20T23:08:25.5643333Z http.https://github.com/.extraheader 2024-08-20T23:08:25.5674266Z Entering 'third_party/ideep' 2024-08-20T23:08:25.5706757Z http.https://github.com/.extraheader 2024-08-20T23:08:25.5736415Z Entering 'third_party/ideep/mkl-dnn' 2024-08-20T23:08:25.5769028Z http.https://github.com/.extraheader 2024-08-20T23:08:25.5806029Z Entering 'third_party/ittapi' 2024-08-20T23:08:25.5840075Z http.https://github.com/.extraheader 2024-08-20T23:08:25.5871074Z Entering 'third_party/kineto' 2024-08-20T23:08:25.5903229Z http.https://github.com/.extraheader 2024-08-20T23:08:25.5934297Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2024-08-20T23:08:25.5966617Z http.https://github.com/.extraheader 2024-08-20T23:08:25.5997630Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2024-08-20T23:08:25.6030242Z http.https://github.com/.extraheader 2024-08-20T23:08:25.6062227Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2024-08-20T23:08:25.6094239Z http.https://github.com/.extraheader 2024-08-20T23:08:25.6124978Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-08-20T23:08:25.6157648Z http.https://github.com/.extraheader 2024-08-20T23:08:25.6188936Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-08-20T23:08:25.6221398Z http.https://github.com/.extraheader 2024-08-20T23:08:25.6251798Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-08-20T23:08:25.6285132Z http.https://github.com/.extraheader 2024-08-20T23:08:25.6318080Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-08-20T23:08:25.6351101Z http.https://github.com/.extraheader 2024-08-20T23:08:25.6382407Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-08-20T23:08:25.6415824Z http.https://github.com/.extraheader 2024-08-20T23:08:25.6448459Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-08-20T23:08:25.6481409Z http.https://github.com/.extraheader 2024-08-20T23:08:25.6513354Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-08-20T23:08:25.6546890Z http.https://github.com/.extraheader 2024-08-20T23:08:25.6579649Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2024-08-20T23:08:25.6612531Z http.https://github.com/.extraheader 2024-08-20T23:08:25.6643069Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2024-08-20T23:08:25.6675404Z http.https://github.com/.extraheader 2024-08-20T23:08:25.6708743Z Entering 'third_party/mimalloc' 2024-08-20T23:08:25.6744107Z http.https://github.com/.extraheader 2024-08-20T23:08:25.6775362Z Entering 'third_party/nccl/nccl' 2024-08-20T23:08:25.6808463Z http.https://github.com/.extraheader 2024-08-20T23:08:25.6842055Z Entering 'third_party/nlohmann' 2024-08-20T23:08:25.6874855Z http.https://github.com/.extraheader 2024-08-20T23:08:25.6906138Z Entering 'third_party/onnx' 2024-08-20T23:08:25.6940580Z http.https://github.com/.extraheader 2024-08-20T23:08:25.6987591Z Entering 'third_party/onnx/third_party/benchmark' 2024-08-20T23:08:25.7020888Z http.https://github.com/.extraheader 2024-08-20T23:08:25.7052652Z Entering 'third_party/onnx/third_party/pybind11' 2024-08-20T23:08:25.7085526Z http.https://github.com/.extraheader 2024-08-20T23:08:25.7118014Z Entering 'third_party/opentelemetry-cpp' 2024-08-20T23:08:25.7151466Z http.https://github.com/.extraheader 2024-08-20T23:08:25.7185843Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2024-08-20T23:08:25.7218138Z http.https://github.com/.extraheader 2024-08-20T23:08:25.7250078Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2024-08-20T23:08:25.7282040Z http.https://github.com/.extraheader 2024-08-20T23:08:25.7312993Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2024-08-20T23:08:25.7345169Z http.https://github.com/.extraheader 2024-08-20T23:08:25.7375149Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2024-08-20T23:08:25.7407564Z http.https://github.com/.extraheader 2024-08-20T23:08:25.7440762Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2024-08-20T23:08:25.7472593Z http.https://github.com/.extraheader 2024-08-20T23:08:25.7502646Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2024-08-20T23:08:25.7536225Z http.https://github.com/.extraheader 2024-08-20T23:08:25.7566557Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2024-08-20T23:08:25.7598368Z http.https://github.com/.extraheader 2024-08-20T23:08:25.7628410Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2024-08-20T23:08:25.7660587Z http.https://github.com/.extraheader 2024-08-20T23:08:25.7693261Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2024-08-20T23:08:25.7726022Z http.https://github.com/.extraheader 2024-08-20T23:08:25.7758701Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-08-20T23:08:25.7790869Z http.https://github.com/.extraheader 2024-08-20T23:08:25.7840447Z Entering 'third_party/pocketfft' 2024-08-20T23:08:25.7874761Z http.https://github.com/.extraheader 2024-08-20T23:08:25.7904897Z Entering 'third_party/protobuf' 2024-08-20T23:08:25.7940697Z http.https://github.com/.extraheader 2024-08-20T23:08:25.7976062Z Entering 'third_party/protobuf/third_party/benchmark' 2024-08-20T23:08:25.8008864Z http.https://github.com/.extraheader 2024-08-20T23:08:25.8062643Z Entering 'third_party/protobuf/third_party/googletest' 2024-08-20T23:08:25.8072572Z http.https://github.com/.extraheader 2024-08-20T23:08:25.8107564Z Entering 'third_party/psimd' 2024-08-20T23:08:25.8142610Z http.https://github.com/.extraheader 2024-08-20T23:08:25.8173639Z Entering 'third_party/pthreadpool' 2024-08-20T23:08:25.8206960Z http.https://github.com/.extraheader 2024-08-20T23:08:25.8237659Z Entering 'third_party/pybind11' 2024-08-20T23:08:25.8270850Z http.https://github.com/.extraheader 2024-08-20T23:08:25.8301339Z Entering 'third_party/python-peachpy' 2024-08-20T23:08:25.8334516Z http.https://github.com/.extraheader 2024-08-20T23:08:25.8364899Z Entering 'third_party/sleef' 2024-08-20T23:08:25.8397918Z http.https://github.com/.extraheader 2024-08-20T23:08:25.8429038Z Entering 'third_party/tensorpipe' 2024-08-20T23:08:25.8461644Z http.https://github.com/.extraheader 2024-08-20T23:08:25.8492036Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-08-20T23:08:25.8524802Z http.https://github.com/.extraheader 2024-08-20T23:08:25.8556200Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-08-20T23:08:25.8588801Z http.https://github.com/.extraheader 2024-08-20T23:08:25.8618850Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-08-20T23:08:25.8653736Z http.https://github.com/.extraheader 2024-08-20T23:08:25.8684974Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-08-20T23:08:25.8717415Z http.https://github.com/.extraheader 2024-08-20T23:08:25.8748858Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-08-20T23:08:25.8781780Z http.https://github.com/.extraheader 2024-08-20T23:08:25.8899484Z A job completed hook has been configured by the self-hosted runner administrator 2024-08-20T23:08:25.8924787Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2024-08-20T23:08:25.8930973Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-08-20T23:08:25.8931488Z ##[endgroup] 2024-08-20T23:08:34.5325848Z Cleaning up orphan processes